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RAIN

Economies of scale Crew size and other operating costs for ships, trains and airplanes

Operating crew size for ships, airplanes, trains, etc., does not increase in direct proportion to capacity. (Operating crew consists of pilots, co-pilots, navigators, etc. and does not include passenger service personnel.) Many aircraft models were significantly lengthened or “stretched” to increase payload.

Economies of scale Crew size and other operating costs for ships, trains and airplanes

Many manufacturing facilities, especially those making bulk materials like chemicals, refined petroleum products, cement and paper, have labor requirements that are not greatly influenced by changes in plant capacity. This is because labor requirements of automated processes tend to be based on the complexity of the operation rather than production, and many manufacturing facilities have nearly the same basic number of processing steps and pieces of equipment, regardless of production.

Intellipedia Training

Several agencies in the Intelligence community, most notably CIA and NGA, have developed training programs to provide time to integrate social software tools into analysts’ daily work habits

Central Intelligence Agency Training

CIA University holds between 200 and 300 courses each year, training both new hires and experienced intelligence officers, as well as CIA support staff

Central Intelligence Agency Training

For later stage training of student operations officers, there is at least one classified training area at Camp Peary, near Williamsburg, Virginia. Students are selected, and their progress evaluated, in ways derived from the OSS, published as the book Assessment of Men, Selection of Personnel for the Office of Strategic Services. Additional mission training is conducted at Harvey Point, North Carolina.

Central Intelligence Agency Training

The primary training facility for the Office of Communications is Warrenton Training Center, located near Warrenton, Virginia. The facility was established in 1951 and has been used by the CIA since at least 1955.

Burson-Marsteller Training

In the Issues & Crisis Group, employees are trained to communicate the correct information during crises for a variety of different clients and issues.

Burson-Marsteller Training

In an interview in 2003, Harold Burson was quoted as saying that Burson-Marsteller has been “a training ground for the industry”, with more than 35,000 people continuing to participate in the company’s alumni network as of 2010

Burson-Marsteller Ukraine

In 2012, Burson-Marsteller was hired by Ukraine’s ruling Party of Regions (PoR), “to help the PoR communicate its activities as the governing party of Ukraine, as well as to help it explain better its position on the Yulia Tymoshenko case”, as explained by Robert Mack, a senior manager at Burson-Marsteller.

Burson-Marsteller Ukraine

The tasks of the PR company include setting up press interviews for Ukraine’s deputy prosecutor general, Renat Kuzmin, during his visits in Brussels

Burson-Marsteller Ukraine

The public relations contract coincides with a government campaign against former prime minister Yulia Tymoshenko, detained in a penal colony, and whose case has been top in the agenda of EU-Ukraine relations, delaying the signature of a DCFTA and Association Agreement between the two.

Asia-Pacific Network Information Centre APNIC training

APNIC conducts a number of training courses in a wide variety of locations around the region. These courses are designed to educate participants to proficiently configure, manage and administer their Internet services and infrastructure and to embrace current best practices.

Astronaut Training

Early in the space program, military jet test piloting and engineering training were often cited as prerequisites for selection as an astronaut at NASA, although neither John Glenn nor Scott Carpenter (of the Mercury Seven) had any university degree, in engineering or any other discipline at the time of their selection

Astronaut Training

Ellington Field is also where the Shuttle Training Aircraft is maintained and developed, although most flights of the aircraft are done out of Edwards Air Force Base.

Alan Cox Model trains

Alan Cox runs Etched Pixels, a model train company producing N gauge kits.

Clinical governance Education and training

It is no longer considered acceptable for any clinician to abstain from continuing education after qualification – too much of what is learned during training becomes quickly outdated. In NHS Trusts, the continuing professional development (CPD) of clinicians has been the responsibility of the Trust and it has also been the professional duty of clinicians to remain up-to-date.

Design of experiments Human participant experimental design constraints

Balancing the constraints are views from the medical field

General Electric Promotion and training

Thousands of people from every level of the company are trained at the Jack F. Welch Leadership Center.

Inventory Theory of constraints cost accounting

Goldratt developed the Theory of Constraints in part to address the cost-accounting problems in what he calls the “cost world.” He offers a substitute, called throughput accounting, that uses throughput (money for goods sold to customers) in place of output (goods produced that may sell or may boost inventory) and considers labor as a fixed rather than as a variable cost

Inventory Theory of constraints cost accounting

Finished goods inventories remain balance-sheet assets, but labor-efficiency ratios no longer evaluate managers and workers. Instead of an incentive to reduce labor cost, throughput accounting focuses attention on the relationships between throughput (revenue or income) on one hand and controllable operating expenses and changes in inventory on the other.

Electronic ticket – Train tickets

Amtrak started offering electronic tickets on all train routes on 30 July 2012. These tickets can be ordered over the internet and printed (as a PDF file), printed at a Quik-Trak kiosk, or at the ticket counter at the station. Electronic tickets can also be held in a smart phone and shown to the conductor using an app.

Electronic ticket – Train tickets

Several European train operators also offer self printable tickets. Often tickets can also be delivered as SMS or MMS.

Artificial intelligence – Cybernetics and brain simulation

In the 1940s and 1950s, a number of researchers explored the connection between neurology, information theory, and cybernetics

Dictionary attack – Pre-computed dictionary attack/Rainbow table attack

A more refined approach involves the use of rainbow tables, which reduce storage requirements at the cost of slightly longer lookup times

Dictionary attack – Pre-computed dictionary attack/Rainbow table attack

Pre-computed dictionary attacks, or “rainbow table attacks”, can be thwarted by the use of salt, a technique that forces the hash dictionary to be recomputed for each password sought, making precomputation infeasible provided the number of possible salt values is large enough.

Social networking service – Constraints of social networking services in education

In the past, social networking services were viewed as a distraction and offered no educational benefit. Blocking these social networks was a form of protection for students against wasting time, bullying, and invasions of privacy. In an educational setting, Facebook, for example, is seen by many instructors and educators as a frivolous, time-wasting distraction from schoolwork, and it is not uncommon to be banned in junior high or High School computer labs.

Social networking service – Constraints of social networking services in education

Cyberbullying has become an issue of concern with social networking services

Social networking service – Constraints of social networking services in education

Recent research suggests that there has been a shift in blocking the use of social networking services

Small-world network – Small-world neural networks in the brain

Both anatomical connections in the brain and the synchronization networks of cortical neurons exhibit small-world topology.

Small-world network – Small-world neural networks in the brain

A small-world network of neurons can exhibit short-term memory. A computer model developed by Solla et al. had two stable states, a property (called bistability) thought to be important in memory storage. An activating pulse generated self-sustaining loops of communication activity among the neurons. A second pulse ended this activity. The pulses switched the system between stable states: flow (recording a “memory”), and stasis (holding it).

Small-world network – Small-world neural networks in the brain

On a more general level, many large-scale neural networks in the brain, such as the visual system and brain stem, exhibit small-world properties.

Multilingualism – Centralization of Language areas in the Brain

Age of acquiring the second-or-higher language, and proficiency of use determine what specific brain regions and pathways activate when using (thinking or speaking) the language

Multilingualism – Brain plasticity in multilingualism

Consensus is still muddled; it may be a mixture of both—experiential (acquiring languages during life) and genetic (predisposition to brain plasticity).

Con Kolivas – Brain Fuck Scheduler

On 31 August 2009, Kolivas posted a new scheduler called BFS (Brain Fuck Scheduler). It is designed for desktop use and to be very simple (hence it may not scale to machines with many CPU cores well). Con Kolivas does not intend to get it merged into the mainline Linux. He has since begun maintaining the -ck patch set again.

Online identity – Relation to real-world social constraints

Ultimately, online identity cannot be completely free from the social constraints that are imposed in the real world

Online identity – Relation to real-world physical and sensory constraints

Disembodiment affords the opportunity to operate outside the constraints of a socially stigmatized disabled identity

GitHub – Limitations and constraints

According to the terms of service, if an account’s bandwidth usage significantly exceeds the average of other GitHub customers, the account’s file hosting service may be immediately disabled or throttled until bandwidth consumption is reduced. In addition, while there is no hard limit, the guideline for the maximum size of a repository is one gigabyte. Also, there is a check for files larger than 100MB in a push; if any such files exist, the push will be rejected.

Jonathan Zittrain

Previously, Zittrain was Professor of Internet Governance and Regulation at the Oxford Internet Institute of the University of Oxford and visiting professor at the New York University School of Law and Stanford Law School

Jonathan Zittrain

Zittrain works in several intersections of the Internet with law and policy including intellectual property, censorship and filtering for content control, and computer security. He founded a project at the Berkman Center for Internet and Society that develops classroom tools. He is a co-founder of Chilling Effects, a collaborative archive created to protect lawful online activity from legal threats that was created by Wendy Seltzer.

Jonathan Zittrain – Family and education

Zittrain is the son of two attorneys, Ruth A. Zittrain and Lester E. Zittrain. His father was the personal attorney of professional football star Joe Greene. In 2004 with Jennifer K. Harrison, Zittrain published The Torts Game: Defending Mean Joe Greene, a book the authors dedicated to their parents. His brother, Jeff, is an established Bay Area musician. His sister, Laurie Zittrain Eisenberg, is a scholar of the Arab and Israeli conflict and teaches at Carnegie Mellon University in Pittsburgh.

Jonathan Zittrain – Family and education

Zittrain, who grew up in the suburb of Churchill outside of Pittsburgh, was graduated in 1987 from Shady Side Academy, a private school in Pittsburgh, Pennsylvania

Jonathan Zittrain – Family and education

He was law clerk for Stephen F. Williams of the United States Court of Appeals for the District of Columbia Circuit and served with the U.S. Department of Justice and, in 1991, with the Department of State, as well as at the Senate Select Committee on Intelligence in 1992 and 1994. He was a longtime forum administrator, or sysop, for the online service CompuServe, serving for many years as the chief administrator for its private forum for all of its forum administrators.

Jonathan Zittrain – Internet filtering

The OpenNet Initiative (ONI) monitors Internet censorship by national governments. Between 2001 and 2003 at Harvard’s Berkman Center, Zittrain and Benjamin Edelman studied Internet filtering. In their tests during 2002, when Google had indexed almost 2.5 billion pages, they found sites blocked, from approximately 100 in France and Germany to 2,000 in Saudi Arabia, and 20,000 in the People’s Republic of China. The authors published a statement of issues and a call for data that year.

Jonathan Zittrain – Internet filtering

Today at ONI, with Ronald Deibert of the University of Toronto, John Palfrey, who was previously the executive director of the Berkman Center (now a professor of law and vice-dean at Harvard Law School), and Rafal Rohozinski of the University of Cambridge, Zittrain is a principal investigator.

Jonathan Zittrain – Internet filtering

In 2001, Zittrain cofounded Chilling Effects with his students and former students, including its creator and leader, Wendy Seltzer. It monitors cease and desist letters. Google directs its users to Chilling Effects when its search results have been altered at the request of a national government. Since 2002, researchers have been using the clearinghouse to study the use of cease-and-desist letters, primarily looking at DMCA 512 takedown notices, non-DMCA , and trademark claims.

Jonathan Zittrain – Copyright

In 2003 Zittrain said he was concerned that Congress will hear the same arguments after the 20-year extension passes, and that the Internet is causing a “cultural reassessment of the meaning of copyright”.

Jonathan Zittrain – Stock markets and spam

Writing with Laura Freider of Purdue University, in 2008 Zittrain published, Spam Works: Evidence from Stock Touts and Corresponding Market Activity, in the Hastings Communications and Entertainment Law Journal to document the manipulation of stock prices via spam e-mail

Jonathan Zittrain – Recent publications

Zittrain, Jonathan (April 14, 2008). The Future of the Internet and How to Stop It. Yale University Press. ISBN 0-300-12487-2. (online book)

Jonathan Zittrain – Recent publications

Deibert, Ronald J., John G. Palfrey, Rafal Rohozinski, Jonathan Zittrain (Eds.) (February 29, 2008). Access Denied: The Practice and Policy of Global Internet Filtering. MIT Press. ISBN 0-262-54196-3.

Jonathan Zittrain – Recent publications

Frieder, Laura and Zittrain, Jonathan (March 14, 2007). Spam Works: Evidence from Stock Touts and Corresponding Market Activity. Berkman Center Research Publication No. 2006-11. SSRN 920553.

Jonathan Zittrain – Recent publications

Zittrain, Jonathan (2006). “Searches and Seizures in a Networked World”. Harvard Law Review Forum (The Harvard Law Review Association) 83. Retrieved 2013-01-15.

Jonathan Zittrain – Recent publications

Zittrain, Jonathan (Spring 2006). “A History of Online Gatekeeping” (PDF). Harvard Journal of Law and Technology (Harvard Law School) 19 (2): 253. Retrieved 2008-04-20.

Jonathan Zittrain – Recent publications

Zittrain, Jonathan (Winter 2004). “Normative Principles for Evaluating Free and Proprietary Software”. University of Chicago Law Review (The University of Chicago Law School via SSRN) 71 (1). Retrieved 2008-04-20.

Types of business entity – Ukraine

DAT/??? (???????? ?????????? ?????????? Derzhavne Aktsionerne Tovaristvo): ? plc (UK), national

Types of business entity – Ukraine

TOV/TOB (?????????? ? ????????? ???????????????? Tovaristvo z Obmezhenoyu Vidpovividalnistyu): ? Ltd. (UK). Minimum capital = 1 minimum wage (UAH 960 -29.05.2011) .

Types of business entity – Ukraine

PP/?? (???????? ???????????? Privatne Pidpriemstvo): ? Ltd. (UK). No minimum capital.

Types of business entity – Ukraine

VAT/???( ?i?????? ???i?????? ?????????? Vidkrite Aktsionerne Tovaristvo) or PAT/??? (???????? ?????????? ?????????? Tovaristvo) since 29.04.2009: ? plc (UK), public. Minimum capital UAH 630,000.

Types of business entity – Ukraine

ZAT/??? (??????? ???i?????? ?????????? Zakrite Aktsionerne Tovaristvo)or PrAT/???? (???????? ?????????? ?????????? Pritvatne Aktsionerne Tovaristvo) since 29.04.2009:: ? plc (UK), private.

Types of business entity – Ukraine

Company formation is regulated by the Ukrainian Civil Code and Commercial Code, Law of Commercial companies, Law of stock companies, law and order.

Linux Foundation – Training

The Linux Foundation Training Program features instructors and content straight from the leaders of the Linux developer community.

Linux Foundation – Training

Attendees receive Linux training that is vendor-neutral, technically advanced and created with the actual leaders of the Linux development community themselves. The Linux Foundation Linux training courses, both online and in-person, give attendees the broad, foundational knowledge and networking needed to thrive in their careers.

Nairobi – Trains

The new station has a train that ferries passengers from Syokimau to the city centre cutting travel time by half

Nairobi – Trains

After the completion of the Syokimau Station, focus will be put on building other nine modern stations including those on Jogoo Road, Imara Daima and Makadara Estate.

Relational database – Constraints

Since every attribute has an associated domain, there are constraints (domain constraints)

Data integrity – Types of integrity constraints

Data integrity is normally enforced in a database system by a series of integrity constraints or rules. Three types of integrity constraints are an inherent part of the relational data model: entity integrity, referential integrity and domain integrity:

Data integrity – Types of integrity constraints

Entity integrity concerns the concept of a primary key. Entity integrity is an integrity rule which states that every table must have a primary key and that the column or columns chosen to be the primary key should be unique and not null.

Data integrity – Types of integrity constraints

Referential integrity concerns the concept of a foreign key

Data integrity – Types of integrity constraints

Domain integrity specifies that all columns in relational database must be declared upon a defined domain. The primary unit of data in the relational data model is the data item. Such data items are said to be non-decomposable or atomic. A domain is a set of values of the same type. Domains are therefore pools of values from which actual values appearing in the columns of a table are drawn.

Data integrity – Types of integrity constraints

If a database supports these features it is the responsibility of the database to insure data integrity as well as the consistency model for the data storage and retrieval. If a database does not support these features it is the responsibility of the applications to ensure data integrity while the database supports the consistency model for the data storage and retrieval.

Data integrity – Types of integrity constraints

re-usability (all applications benefit from a single centralized data integrity system)

Data integrity – Types of integrity constraints

As of 2012, since all modern databases support these features (see Comparison of relational database management systems), it has become the de-facto responsibility of the database to ensure data integrity

Neuroinformatics – Society for Neuroscience Brain Information Group

On the foundation of all of these activities, Huda Akil, the 2003 President of the Society for Neuroscience (SfN) established the Brain Information Group (BIG) to evaluate the importance of neuroinformatics to neuroscience and specifically to the SfN. Following the report from BIG, SfN also established a neuroinformatics committee.

Neuroinformatics – Society for Neuroscience Brain Information Group

In 2004, SfN announced the Neuroscience Database Gateway (NDG) as a universal resource for neuroscientists through which almost any neuroscience databases and tools may be reached

Neuroinformatics – Mouse brain mapping and simulation

Between 1995 and 2005, Henry Markram mapped the types of neurons and their connections in such a column.

Neuroinformatics – Mouse brain mapping and simulation

The Blue Brain project, completed in December 2006, aimed at the simulation of a rat neocortical column, which can be considered the smallest functional unit of the neocortex (the part of the brain thought to be responsible for higher functions such as conscious thought), containing 10,000 neurons (and 108synapses). In November 2007, the project reported the end of the first phase, delivering a data-driven process for creating, validating, and researching the neocortical column.

Neuroinformatics – Mouse brain mapping and simulation

An artificial neural network described as being “as big and as complex as half of a mouse brain” was run on an IBM blue gene supercomputer by a University of Nevada research team in 2007. A simulated time of one second took ten seconds of computer time. The researchers said they had seen “biologically consistent” nerve impulses flowed through the virtual cortex. However, the simulation lacked the structures seen in real mice brains, and they intend to improve the accuracy of the neuron model.

Neuroinformatics – The Blue Brain Project

The Blue Brain Project was founded in May 2005, and uses an 8000 processor Blue Gene/L supercomputer developed by IBM. At the time, this was one of the fastest supercomputers in the world. The project involves:

Neuroinformatics – The Blue Brain Project

Databases: 3D reconstructed model neurons, synapses, synaptic pathways, microcircuit statistics, computer model neurons, virtual neurons.

Neuroinformatics – The Blue Brain Project

Visualization: microcircuit builder and simulation results visualizator, 2D, 3D and immersive visualization systems are being developed.

Neuroinformatics – The Blue Brain Project

Simulation: a simulation environment for large scale simulations of morphologically complex neurons on 8000 processors of IBM’s Blue Gene supercomputer.

Neuroinformatics – The Blue Brain Project

Simulations and experiments: iterations between large scale simulations of neocortical microcircuits and experiments in order to verify the computational model and explore predictions.

Neuroinformatics – The Blue Brain Project

These models will be deposited in an internet database from which Blue Brain software can extract and connect models together to build brain regions and begin the first whole brain simulations.

Solar sail – Constraints

In Earth orbit, solar pressure and drag pressure are typically equal at an altitude of about 800 km, which means that a sail craft would have to operate above that altitude. Sail craft must operate in orbits where their turn rates are compatible with the orbits, which is generally a concern only for spinning disk configurations.

Solar sail – Constraints

Sail operating temperatures are a function of solar distance, sail angle, reflectivity, and front and back emissivities. A sail can be used only where its temperature is kept within its material limits. Generally, a sail can be used rather close to the sun, around 0.25 AU, or even closer if carefully designed for those conditions.

Electronic engineering – Education and training

Electronics engineers typically possess an academic degree with a major in electronic engineering. The length of study for such a degree is usually three or four years and the completed degree may be designated as a Bachelor of Engineering, Bachelor of Science, Bachelor of Applied Science, or Bachelor of Technology depending upon the university. Many UK universities also offer Master of Engineering (MEng) degrees at undergraduate level.

Electronic engineering – Education and training

The degree generally includes units covering physics, chemistry, mathematics, project management and specific topics in electrical engineering. Initially such topics cover most, if not all, of the subfields of electronic engineering. Students then choose to specialize in one or more subfields towards the end of the degree.

Electronic engineering – Education and training

Some electronics engineers also choose to pursue a postgraduate degree such as a Master of Science (MSc), Doctor of Philosophy in Engineering (PhD), or an Engineering Doctorate (EngD)

Electronic engineering – Education and training

In most countries, a Bachelor’s degree in engineering represents the first step towards certification and the degree program itself is certified by a professional body

Electronic engineering – Education and training

Fundamental to the discipline are the sciences of physics and mathematics as these help to obtain both a qualitative and quantitative description of how such systems will work

Health psychology – Training in Health Psychology

A Health Psychologist in training might be working within applied settings whilst working towards registration and chartered status

Health psychology – Training in Health Psychology

professional skills (including implementing ethical and legal standards, communication and team work),

Health psychology – Training in Health Psychology

research skills (including designing, conducting and analysing psychological research in numerous areas),

Health psychology – Training in Health Psychology

consultancy skills (including planning and evaluation),

Health psychology – Training in Health Psychology

teaching and training skills (including knowledge of designing,delivering and evaluating large and small scale training programmes),

Health psychology – Training in Health Psychology

intervention skills (including delivery and evaluation of behaviour change interventions).

Health psychology – Training in Health Psychology

All qualified Health Psychologists must also engage in and record their continuing professional development (CPD) for psychology each year throughout their career.

Color vision – Color in the human brain

Color processing begins at a very early level in the visual system (even within the retina) through initial color opponent mechanisms

Color vision – Color in the human brain

Visual information is then sent to the brain from retinal ganglion cells via the optic nerve to the optic chiasma: a point where the two optic nerves meet and information from the temporal (contralateral) visual field crosses to the other side of the brain. After the optic chiasma the visual tracts are referred to as the optic tracts, which enter the thalamus to synapse at the lateral geniculate nucleus (LGN).

Color vision – Color in the human brain

The lateral geniculate nucleus (LGN) is divided into laminae (zones), of which there are three types: the M-laminae, consisting primarily of M-cells, the P-laminae, consisting primarily of P-cells, and the koniocellular laminae

Color vision – Color in the human brain

After synapsing at the LGN, the visual tract continues on back to the primary visual cortex (V1) located at the back of the brain within the occipital lobe. Within V1 there is a distinct band (striation). This is also referred to as “striate cortex”, with other cortical visual regions referred to collectively as “extrastriate cortex”. It is at this stage that color processing becomes much more complicated.

Color vision – Color in the human brain

In V1 the simple three-color segregation begins to break down

Color vision – Color in the human brain

This is the first part of the brain in which color is processed in terms of the full range of hues found in color space.

Color vision – Color in the human brain

Anatomical studies have shown that neurons in extended V4 provide input to the inferior temporal lobe

Blue Brain Project

Blue Brain Project

Blue Brain Project

The Blue Brain Project is an attempt to create a synthetic brain by reverse-engineering the mammalian brain down to the molecular level. The aim of the project, founded in May 2005 by the Brain and Mind Institute of the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, is to study the brain’s architectural and functional principles.

Blue Brain Project

The project is headed by the founding director Henry Markram and co-directed by Felix Schürmann and Sean Hill. Using a Blue Gene supercomputer running Michael Hines’s NEURON software, the simulation does not consist simply of an artificial neural network, but involves a biologically realistic model of neurons. It is hoped that it will eventually shed light on the nature of consciousness.

Blue Brain Project

There are a number of sub-projects, including the Cajal Blue Brain, coordinated by the Supercomputing and Visualization Center of Madrid (CeSViMa), and others run by universities and independent laboratories.

Blue Brain Project – Neocortical column modelling

The initial goal of the project, completed in December 2006, was the simulation of a rat neocortical column, which is considered by some researchers to be the smallest functional unit of the neocortex (the part of the brain thought to be responsible for higher functions such as conscious thought)

Blue Brain Project – Progress

By 2005 the first single cellular model was completed. The first artificial cellular neocortical column of 10,000 cells was built by 2008. By July 2011 a cellular mesocircuit of 100 neocortical columns with a million cells in total was built. A cellular rat brain is planned for 2014 with 100 mesocircuits totalling a hundred million cells. Finally a cellular human brain is predicted possible by 2023 equivalent to 1000 rat brains with a total of a hundred billion cells.

Blue Brain Project – Progress

Now that the column is finished, the project is currently busying itself with the publishing of initial results in scientific literature, and pursuing two separate goals:

Blue Brain Project – Progress

construction of a simulation on the molecular level, which is desirable since it allows studying the effects of gene expression;

Blue Brain Project – Progress

simplification of the column simulation to allow for parallel simulation of large numbers of connected columns, with the ultimate goal of simulating a whole neocortex (which in humans consists of about 1 million cortical columns).[contradictory]

Blue Brain Project – Funding

The project is funded primarily by the Swiss government and the Future and Emerging Technologies (FET) Flagship grant from the European Commission, and secondarily by grants and some donations from private individuals. The EPFL bought the Blue Gene computer at a reduced cost because at that stage it was still a prototype and IBM was interested in exploring how different applications would perform on the machine. BBP was viewed a validation of the Blue Gene supercomputer concept.

Blue Brain Project – Documentary

A 10 part documentary is being made by film director Noah Hutton, with each installment detailing the year long workings of the project at the EPFL. Having started filming in 2009, the documentary is planned to be released in 2020, after the years of filming and editing has finished. Regular contributions from Henry Markram and the rest of the team provide an insight into the Blue Brain Project, while similar research tasks across the world are touched on.

Blue Brain Project – Cajal Blue Brain (Spain)

The Cajal Blue Brain is coordinated by the Technical University of Madrid and uses the facilities of the Supercomputing and Visualization Center of Madrid and its supercomputer Magerit. The Cajal Institute also participates in this collaboration. The main lines of research currently being pursued at Cajal Blue Brain include neurological experimentation and computer simulations. Nanotechnology, in the form of a newly designed brain microscope, plays an important role in its research plans.

Racial segregation – Bahrain

On 28 April 2007, the lower house of Bahraini Parliament passed a law banning unmarried migrant workers from living in residential areas. To justify the law MP Nasser Fadhala, a close ally of the government said “bachelors also use these houses to make alcohol, run prostitute rings or to rape children and housemaids”.

Racial segregation – Bahrain

Sadiq Rahma, technical committee head, who is a member of Al Wefaq said: “The rules we are drawing up are designed to protect the rights of both the families and the Asian bachelors (..) these labourers often have habits which are difficult for families living nearby to tolerate (..) they come out of their homes half dressed, brew alcohol illegally in their homes, use prostitutes and make the neighbourhood dirty (..) these are poor people who often live in groups of 50 or more, crammed into one house or apartment,” said Mr Rahma

Racial segregation – Bahrain

Nabeel Rajab, then BCHR vice president, said: “It is appalling that Bahrain is willing to rest on the benefits of these people’s hard work, and often their suffering, but that they refuse to live with them in equality and dignity

Declarative programming – Constraint programming

In constraint programming, relations between variables are stated in the form of constraints, specifying the properties of a solution to be found. The set of constraints is then solved by giving a value to each variable so that the solution is consistent with the maximum number of constraints.

Declarative programming – Constraint programming

Constraint programming is often used as a complement to other paradigms: functional, logical or even imperative programming.

Australopithecus afarensis – Craniodental features and brain size

Compared to the modern and extinct great apes, A. afarensis has reduced canines and molars, although they are still relatively larger than in modern humans. A. afarensis also has a relatively small brain size (~380–430 cm3) and a prognathic face (i.e. a face with forward projecting jaws).

Australopithecus afarensis – Craniodental features and brain size

The image of a bipedal hominid with a small brain and primitive face was quite a revelation to the paleoanthropological world at the time. This was due to the earlier belief that an increase in brain size was the first major hominin adaptive shift.

Australopithecus afarensis – Craniodental features and brain size

Before the discoveries of A. afarensis in the 1970s, it was widely thought that an increase in brain size preceded the shift to bipedal locomotion. This was mainly because the oldest known hominins at the time had relatively large brains (e.g. KNM-ER 1470, Homo rudolfensis, which was found just a few years before Lucy and had a cranial capacity of ~800 cm³).

Legal psychology – Training and education

In fact, some argue that specialized legal training dilutes the psychological empiricism of the researcher

Legal psychology – Training and education

A growing number of universities offer specialized training in legal psychology as either a standalone PhD program or a joint JD/PhD program. A list of American universities that offer graduate training in legal psychology can be found here on the website of the American Psychology-Law Society.

Industrial and organizational psychology – Training and training evaluation

Many organizations are using training and development as a way to attract and retain their most successful employees.

Industrial and organizational psychology – Training and training evaluation

Formative evaluations can be used to locate problems in training procedures and help I–O psychologists make corrective adjustments while the training is ongoing.

Industrial and organizational psychology – Training and training evaluation

Attitudes can be developed or changed through training programs

Industrial and organizational psychology – Training and training evaluation

The needs analysis makes it possible to identify the training program’s objectives, which in turn, represents the information for both the trainer and trainee about what is to be learned for the benefit of the organization.

Industrial and organizational psychology – Training and training evaluation

Therefore with any training program it is key to establish specify training objectives. Schultz & Schultz (2010) states that need assessment is an analysis of corporate and individual goals undertaken before designing a training program. Examples of need assessment are based on organizational, task, and work analysis is conducted using job analysis critical incidents, performance appraisal, and self-assessment techniques.(p164)

Industrial and organizational psychology – Training and training evaluation

But with any training there are always challenges that one faces. Challenges which I-O psychologists face:(p185)

Industrial and organizational psychology – Training and training evaluation

To identify the abilities required to perform increasingly complex jobs.

Industrial and organizational psychology – Training and training evaluation

To assist supervisors in the management of an ethnically diverse workforce.

Industrial and organizational psychology – Training and training evaluation

To conduct the necessary research to determine the effectiveness of training programs.

Esoteric programming language – Brainfuck

Brainfuck is designed for extreme minimalism and leads to obfuscated code, with programs containing only 8 distinct characters. e.g. the following program outputs “Hello World”:

Neurotechnology – How these help study the brain

Combinations of these methods can provide researchers with knowledge of both physiological and metabolic behaviors of loci in the brain and can be used to explain activation and deactivation of parts of the brain under specific conditions.

Neurotechnology – How these help study the brain

Some techniques combine TMS and another scanning method such as EEG to get additional information about brain activity such as cortical response.

Neurotechnology – How these help study the brain

While there are other types of research that utilize EEG, EEG has been fundamental in understanding the resting brain during sleep

Neurotechnology – How these help study the brain

While deep brain stimulation is a method to study how the brain functions per se, it provides both surgeons and neurologists important information about how the brain works when certain small regions of the basal ganglia (nuclei) are stimulated by electrical currents.

Telecommunications in Bahrain – History

When Batelco was first founded in 1981, Bahrain already had 45,627 telephone lines in use. By 1982, the number reached 50,000. In 1985, the country’s first fibre optic cable was installed. Batelco enjoyed being a monopoly in the telecommunications sector for the next two decades. By 1999, the company had around 100,000 mobile contracts.

Telecommunications in Bahrain – History

In 2002, under pressure from international bodies, Bahrain implemented its telecommunications law which included the establishment of an independent Telecommunications Regulatory Authority (TRA). In 2003, Batelco’s monopoly over the sector broke when the TRA awarded a license to MTC Vodafone, which later re-branded itself as Zain. In January 2010, VIVA (a subsidiary of STC) started operations in Bahrain.

Telecommunications in Bahrain – Telephonic services

Telephones – main lines in use: 194,200 (2006)

Telecommunications in Bahrain – Telephonic services

county comparison to the world: 124

Telecommunications in Bahrain – Telephonic services

Telephones – mobile cellular: 1,116,000 (2007)

Telecommunications in Bahrain – Telephonic services

domestic: modern fiber-optic integrated services; digital network with rapidly growing use of mobile cellular telephones

Telecommunications in Bahrain – Telephonic services

international: country code – 973; landing point for the Fire-Optic Link Around the Globe (FLAG) submarine cable network that provides links to Asia, Middle East, Europe, and US; tropospheric scatter to Qatar and UAE; microwave radio relay to Saudi Arabia; satellite earth station – 1 (2007)

Telecommunications in Bahrain – Internet service

country comparison to the world: 135

Robotics – Education and training

Robotics engineers design robots, maintain them, develop new applications for them, and conduct research to expand the potential of robotics

Robotics – Career training

Universities offer bachelors, masters, and doctoral degrees in the field of robotics. Vocational schools offer robotics training aimed at careers in robotics.

Mind control – The Korean War and the idea of Brainwashing

The Oxford English Dictionary records its earliest known English-language usage of brainwashing in an article by Edward Hunter in Miami News published on 7 October 1950. During the Korean War, Hunter, who worked at the time both as a journalist and as a U.S. intelligence agent, wrote a series of books and articles on the theme of Chinese brainwashing.

Mind control – The Korean War and the idea of Brainwashing

The Chinese term ?? (x? n?o, literally “wash brain”) was originally used to describe methodologies of coercive persuasion used under the Maoist government in China, which aimed to transform individuals with a reactionary imperialist mindset into “right-thinking” members of the new Chinese social system

Mind control – The Korean War and the idea of Brainwashing

Ford and British army Colonel James Carne also claimed that the Chinese subjected them to brainwashing techniques during their war-era imprisonment

Mind control – The Korean War and the idea of Brainwashing

More recent writers including Mikhail Heller have suggested that Lifton’s model of brainwashing may throw light on the use of mass propaganda in other communist states such as the former Soviet Union.

Mind control – The Korean War and the idea of Brainwashing

In a summary published in 1963, Edgar Schein gave a background history of the precursor origins of the brainwashing phenomenon:

Mind control – The Korean War and the idea of Brainwashing

Thought reform contains elements which are evident in Chinese culture (emphasis on interpersonal sensitivity, learning by rote and self-cultivation); in methods of extracting confessions well known in the Papal Inquisition (13th century) and elaborated through the centuries, especially by the Russian secret police; in methods of organizing corrective prisons, mental hospitals and other institutions for producing value change; in methods used by religious sects, fraternal orders, political elites or primitive societies for converting or initiating new members

Mind control – The Korean War and the idea of Brainwashing

He further asserted that for twenty years, starting in the early 1950s, the CIA and the Defense Department conducted secret research (notably including Project MKULTRA) in an attempt to develop practical brainwashing techniques, and that their attempt failed.

Mind control – The Korean War and the idea of Brainwashing

military and government laid charges of “brainwashing” in an effort to undermine detailed confessions made by U.S

Mind control – Army report debunks brainwashing of American prisoners of war

In 1956 the U.S Department of the Army published a report entitled Communist Interrogation, Indoctrination, and Exploitation of Prisoners of War which called brainwashing a “popular misconception.” The report states “exhaustive research of several government agencies failed to reveal even one conclusively documented case of ‘brainwashing’ of an American prisoner of war in Korea.”

Mind control – Army report debunks brainwashing of American prisoners of war

While US POW’s captured by North Korea were brutalized with starvation, beatings, forced death marches, exposure to extremes of temperature, binding in stress positions, and withholding of medical care, the abuse had no relation to indoctrination or collecting intelligence information “in which [North Korea was] not particularly interested.” In contrast American POW’s in the custody of the Chinese Communists did face a concerted interrogation and indoctrination program—but the Chinese did not employ deliberate physical abuse

Mind control – Army report debunks brainwashing of American prisoners of war

The Chinese elicited information using tricks such as harmless-seeming written questionnaires, followed by interviews. The “most insidious” and effective Chinese technique according to the US Army Report was a convivial display of false friendship:

Mind control – Army report debunks brainwashing of American prisoners of war

“[w]hen an American soldier was captured by the Chinese, he was given a vigorous handshake and a pat on the back

Mind control – Army report debunks brainwashing of American prisoners of war

It was this surprising, disarmingly friendly treatment, that “was successful to some degree,” the report concludes, in undermining hatred of the communists among American soldiers, in persuading some to sign anti-American confessions, and even leading a few to reject repatriation and remain in Communist China.

Inheritance (object-oriented programming) – Design constraints

Singleness: using single inheritance, a subclass can inherit from only one superclass

Inheritance (object-oriented programming) – Design constraints

Static: the inheritance hierarchy of an object is fixed at instantiation when the object’s type is selected and does not change with time. For example, the inheritance graph does not allow a Student object to become a Employee object while retaining the state of its Person superclass. (This kind of behavior, however, can be achieved with the decorator pattern.) Some have criticized inheritance, contending that it locks developers into their original design standards.

Inheritance (object-oriented programming) – Design constraints

Visibility: whenever client code has access to an object, it generally has access to all the object’s superclass data

Inheritance (object-oriented programming) – Design constraints

The composite reuse principle is an alternative to inheritance. This technique supports polymorphism and code reuse by separating behaviors from the primary class hierarchy and including specific behavior classes as required in any business domain class. This approach avoids the static nature of a class hierarchy by allowing behavior modifications at run time and allows a single class to implement behaviors buffet-style, instead of being restricted to the behaviors of its ancestor classes.

Head-mounted display – Training and simulation

A key application for HMDs is training and simulation, allowing to virtually place a trainee in a situation that is either too expensive or too dangerous to replicate in real-life. Training with HMDs cover a wide range of applications from driving, welding and spray painting, flight and vehicle simulators, dismounted soldier training, medical procedure training and more.

Qatar – Bahraini rule (1783–1868)

In 1821, as punishment for piracy, an East India Company vessel bombarded Doha, destroying the town and forcing hundreds of residents to flee. The residents of Doha had no idea why they were being attacked. As a result, Qatari rebel groups began to emerge in order to fight the Al-Khalifas and to seek independence from Bahrain. In 1825, the House of Thani was established with Sheikh Mohammed bin Thani as the first leader.

Qatar – Bahraini rule (1783–1868)

In addition to censuring Bahrain for its breach of agreement, the British Protectorate (per Colonel Lewis Pelly) asked to negotiate with a representative from Qatar.

Qatar – Bahraini rule (1783–1868)

The request carried with it a tacit recognition of Qatar’s status as distinct from Bahrain

Leadership studies – Leadership training courses

African Nutrition Leadership Programme, (South Africa).

Leadership studies – Leadership training courses

Programme de Leadership Africain en Nutrition, (Casablanca, Morocco).

Satellite Internet access – rain

Satellite communications on the Ka band (19/29 GHz) can use special techniques such as large rain margins, adaptive uplink power control and reduced bit rates during precipitation.

Satellite Internet access – rain

Rain margins are the extra communication link requirements needed to account for signal degradations due to moisture and precipitation, and are of acute importance on all systems operating at frequencies over 10 GHz.

Satellite Internet access – rain

In other words, increasing antenna gain through the use of a larger parabolic reflector is one way of increasing the overall channel gain and, consequently, the signal-to-noise (S/N) ratio, which allows for greater signal loss due to rain fade without the S/N ratio dropping below its minimum threshold for successful communication.

Satellite Internet access – rain

Modern consumer-grade dish antennas tend to be fairly small, which reduces the rain margin or increases the required satellite downlink power and cost. However, it is often more economical to build a more expensive satellite and smaller, less expensive consumer antennas than to increase the consumer antenna size to reduce the satellite cost.

Satellite Internet access – rain

Large commercial dishes of 3.7 m to 13 m diameter are used to achieve large rain margins and also to reduce the cost per bit by requiring far less power from the satellite

Satellite Internet access – rain

Modern download DVB-S2 carriers, with RCS feedback, are intended to allow the modulation method to be dynamically altered, in response to rain problems at a receive site. This allows the bit rates to be increased substantially during normal clear sky conditions, thus reducing overall costs per bit.

Educational psychology – Education and training

A person may be considered an educational psychologist after completing a graduate degree in educational psychology or a closely related field. Universities establish educational psychology graduate programs in either psychology departments or, more commonly, faculties of education.

Educational psychology – Education and training

Educational psychologists work in a variety of settings. Some work in university settings where they carry out research on the cognitive and social processes of human development, learning and education. Educational psychologists may also work as consultants in designing and creating educational materials, classroom programs and online courses.

Educational psychology – Education and training

Educational psychologists who work in k–12 school settings (closely related are school psychologists in the US and Canada) are trained at the master’s and doctoral levels. In addition to conducting assessments, school psychologists provide services such as academic and behavioral intervention, counseling, teacher consultation, and crisis intervention. However, school psychologists are generally more individual-oriented towards students.

Educational psychology – Education and training

In the UK, status as a Chartered Educational Psychologist is gained by completing:

Educational psychology – Education and training

an undergraduate degree in psychology permitting registration with the British Psychological Society

Educational psychology – Education and training

two or three years experience working with children, young people and their families.

Educational psychology – Education and training

a three-year professional doctorate in educational psychology.

Educational psychology – Education and training

In New Zealand Registered Educational Psychologist status is gained by completing:

Educational psychology – Education and training

completion of a two year masters level training programme in psychology or educational psychology

Educational psychology – Education and training

Internship places are limited and applications exceed places in most years. Since 1999 Massey University delivered the only educational psychology training program. Victoria University, Wellington started its offering of an educational psychology training programme in 2013.

Vactrain

Though the technology is currently being investigated for development of regional networks, advocates have suggested establishing vactrains for transcontinental routes to form a global network.

Vactrain

Vactrain tunnels could permit very rapid intercontinental travel. Vactrains could use gravity to assist their acceleration. If such trains went as fast as predicted, the trip between Beijing and New York would take less than 2 hours, supplanting aircraft as the world’s fastest mode of public transportation.

Vactrain

Travel through evacuated tubes allows supersonic speed without the penalty of sonic boom found with supersonic aircraft. The trains could operate faster than Mach 1 without noise.

Vactrain

However, without major advances in tunnelling and other technology, vactrains would be prohibitively expensive. Alternatives such as elevated concrete tubes with partial vacuums have been proposed to reduce costs.

Vactrain

Researchers at Southwest Jiaotong University in China are developing (in 2010) a vactrain to reach speeds of 1,000 km/h (620 mph). They say the technology can be put into operation in 10 years.

Vactrain – Early history

The modern concept of a vactrain, with evacuated tubes and maglev technology, was explored in the 1910s by American engineer Robert Goddard, who designed detailed prototypes with a university student. His train would have traveled from Boston to New York in 12 minutes, averaging 1,000 mph (1,600 km/h). The train designs were found only after Goddard’s death in 1945 and his wife filed for the patents.

Vactrain – Early history

Russian professor Boris Weinberg offered a vactrain concept in 1914 in the book Motion without friction (airless electric ways). He also built model of his proposed transport in Tomsk university in 1909.

Vactrain – 1970s to present

Vactrains made headlines during the 1970s when a leading advocate, Robert M. Salter of RAND, published a series of elaborate engineering articles in 1972 and again in 1978.

Vactrain – 1970s to present

This combination of modified (shallow) gravity train and atmospheric railway propulsion would consume little energy but limit the system to subsonic speeds, hence initial routes of tens or hundreds of miles or kilometers rather than transcontinental distances were proposed.

Vactrain – 1970s to present

Trains were to require no couplers, each car being directly welded, bolted, or otherwise firmly connected to the next, the route calling for no more bending than the flexibility of steel could easily handle. At the end of the line the train would be moved sideways into the end chamber of the return tube. The railway would have both an inner evacuated tube and an outer tunnel. At cruise depth, the space between would have enough water to float the vacuum tube, softening the ride.

Vactrain – 1970s to present

Commuter rail systems were mapped for the San Francisco and New York areas, the commuter version having longer, heavier trains, to be propelled less by air and more by gravity than the intercity version

Vactrain – 1970s to present

Salter pointed out how such a system would help reduce the environmental damage being done to the atmosphere by aviation and surface transportation. He called underground Very High Speed Transportation (tube shuttles) his nation’s “logical next step”. The plans were never taken to the next stage.

Vactrain – 1970s to present

At the time these reports were published, national prestige was an issue as Japan had been operating its showcase bullet train for several years and maglev train research was hot technology

Vactrain – 1970s to present

Starting in the late 1970s and early ’80s, the Swissmetro was proposed to leverage the invention of the experimental German Transrapid maglev train, and operate in large underground tunnels reduced to the pressure altitude of 68,000 feet (21,000 m) at which the Concorde SST was certified to fly.

Vactrain – 1970s to present

In the 1980s, Frank P. Davidson, a founder and chairman of the Channel Tunnel project, and Japanese engineer Yoshihiro Kyotani (ja) tackled the transoceanic problems with a proposal to float a tube above the ocean floor, anchored with cables. The transit tube would remain at least 1,000 feet (300 m) below the ocean surface to avoid water turbulence.

Vactrain – 1970s to present

James Powell, former co-inventor of superconducting maglev in the 1960s, has since 2001 led investigation of a concept for using a maglev vactrain for space launch (theoretically two orders of magnitude less marginal cost than present rockets), where the StarTram proposal would have vehicles reach up to 8,900 mph (14,300 km/h) to 19,600 mph (31,500 km/h) within an acceleration tunnel (lengthy to limit g-forces), considering boring through the ice sheet in Antarctica for lower anticipated expense than in rock.

Vactrain – Popular culture

The Space: 1999 TV series, featured a Lunar Vactrain

Vactrain – Popular culture

A fictional train that matched a vactrain in description was mentioned in the 1982 song “I.G.Y. (What a Beautiful World)”, by the American singer and songwriter Donald Fagen. The song includes the lyrics: “On that train, all graphite and glitter / Undersea by rail / Ninety minutes from New York to Paris”.

Direct metal laser sintering – Constraints

The aspects of size, feature details and surface finish, as well as print through error in the Z axis may be factors that should be considered prior to the use of the technology. However, by planning the build in the machine where most features are built in the x and y axis as the material is laid down, the feature tolerances can be managed well. Surfaces usually have to be polished to achieve mirror or extremely smooth finishes.

Direct metal laser sintering – Constraints

For production tooling, material density of a finished part or insert should be addressed prior to use. For example, in injection molding inserts, any surface imperfections will cause imperfections in the plastic part, and the inserts will have to mate with the base of the mold with temperature and surfaces to prevent problems.

Direct metal laser sintering – Constraints

In this process metallic support structure removal and post processing of the part generated is a time consuming process and requires use of EDM and/or grinding machines having the same level of accuracy provided by the RP machine.

Direct metal laser sintering – Constraints

When using rapid prototyping machines, .stl files, which do not include anything but raw mesh data in binary (generated from Solid Works, CATIA, or other major CAD programs) need further conversion to .cli & .sli files (the format required for non stereolithography machines). Software converts .stl file to .sli files, as with the rest of the process, there can be costs associated with this step.

Indium tin oxide – Constraints and trade-offs

The main concern about ITO is the cost

Artificial brainArtificial brain (or artificial mind) is a term commonly used in the media to describe research that aims to develop software and hardware with cognitive abilities similar to those of the animal or human brain. Research investigating “artificial brains” plays three important roles in science:An ongoing attempt by neuroscientists to understand how the human brain works, known as cognitive neuroscience.A thought experiment in the philosophy of artificial intelligence, demonstrating that it is possible, in theory, to create a machine that has all the capabilities of a human being.A serious long term project to create machines with strong AI, capable of general intelligent action (or Artificial General Intelligence), i.e. as intelligent as a human being.An example of the first objective is the project reported by Aston University in Birmingham, England where researchers are using biological cells to create “neurospheres” (small clusters of neurons) in order to develop new treatments for diseases including Alzheimer’s, Motor Neurone and Parkinson’s Disease.The second objective is a reply to arguments such as John Searle’s Chinese room argument, Hubert Dreyfus’ critique of AI or Roger Penrose’s argument in The Emperor’s New Mind. These critics argued that there are aspects of human consciousness or expertise that can not be simulated by machines. One reply to their arguments is that the biological processes inside the brain can be simulated to any degree of accuracy. This reply was made as early as 1950, by Alan Turing in his classic paper “Computing Machinery and Intelligence”.The third objective is generally called artificial general intelligence by researchers. However Kurzweil prefers the more memorable term Strong AI. In his book The Singularity is Near he focuses on whole brain emulation using conventional computing machines as an approach to implementing artificial brains, and claims (on grounds of computer power continuing an exponential growth trend) that this could be done by 2025. Henry Markram, director of the Blue Brain project (which is attempting brain emulation), made a similar claim (2020) at the Oxford TED conference in 2009.Contents   1 Approaches to brain simulation2 Artificial brain thought experiment4 Notes and referencesApproaches to brain simulation[edit]Estimates of how much processing power is needed to emulate a human brain at verious levels (from Ray Kurzweil, and Anders Sandberg and Nick Bostrom), along with the fastest supercomputer from TOP500 mapped by year.Although direct brain emulation using artificial neural networks on a high-performance computing engine is a common approach, there are other approaches. An alternative artificial brain implementation could be based on Holographic Neural Technology (HNeT) non linear phase coherence/decoherence principles. The analogy has been made to quantum processes through the core synaptic algorithm which has strong similarities to the QM wave equation.EvBrain is a form of evolutionary software that can evolve “brainlike” neural networks, such as the network immediately behind the retina.Since November 2008, IBM received a $4.9 million grant from the Pentagon for research into creating intelligent computers. The Blue Brain project is being conducted with the assistance of IBM in Lausanne. The project is based on the premise that it is possible to artificially link the neurons “in the computer” by placing thirty million synapses in their proper three-dimensional position.In March 2008, Blue Brain project was progressing faster than expected: “Consciousness is just a massive amount of information being exchanged by trillions of brain cells.” Some proponents of strong AI speculate that computers in connection with Blue Brain and Soul Catcher may exceed human intellectual capacity by around 2015, and that it is likely that we will be able to download the human brain at some time around 2050.There are good reasons to believe that, regardless of implementation strategy, the predictions of realising artificial brains in the near future are optimistic. In particular brains (including the human brain) and cognition are not currently well understood, and the scale of computation required is unknown. In addition there seem to be power constraints. The brain consumes about 20W of power whereas supercomputers may use as much as 1MW or an order of 100,000 more (note: Landauer limit is 3.5×1020 op/sec/watt at room temperature).Artificial brain thought experiment[edit]Some critics of brain simulation believe that it is simpler to create general intelligent action directly without imitating nature. Some commentators have used the analogy that early attempts to construct flying machines modeled them after birds, but that modern aircraft do not look like birds. A computational argument is used in AI – What is this, where it is shown that, if we have a formal definition of general AI, the corresponding program can be found by enumerating all possible programs and then testing each of them to see whether it matches the definition. No appropriate definition currently exists. – Approaches to brain simulation

Estimates of how much processing power is needed to emulate a human brain at verious levels (from Ray Kurzweil, and Anders Sandberg and Nick Bostrom), along with the fastest supercomputer from TOP500 mapped by year.

Artificial brainArtificial brain (or artificial mind) is a term commonly used in the media to describe research that aims to develop software and hardware with cognitive abilities similar to those of the animal or human brain. Research investigating “artificial brains” plays three important roles in science:An ongoing attempt by neuroscientists to understand how the human brain works, known as cognitive neuroscience.A thought experiment in the philosophy of artificial intelligence, demonstrating that it is possible, in theory, to create a machine that has all the capabilities of a human being.A serious long term project to create machines with strong AI, capable of general intelligent action (or Artificial General Intelligence), i.e. as intelligent as a human being.An example of the first objective is the project reported by Aston University in Birmingham, England where researchers are using biological cells to create “neurospheres” (small clusters of neurons) in order to develop new treatments for diseases including Alzheimer’s, Motor Neurone and Parkinson’s Disease.The second objective is a reply to arguments such as John Searle’s Chinese room argument, Hubert Dreyfus’ critique of AI or Roger Penrose’s argument in The Emperor’s New Mind. These critics argued that there are aspects of human consciousness or expertise that can not be simulated by machines. One reply to their arguments is that the biological processes inside the brain can be simulated to any degree of accuracy. This reply was made as early as 1950, by Alan Turing in his classic paper “Computing Machinery and Intelligence”.The third objective is generally called artificial general intelligence by researchers. However Kurzweil prefers the more memorable term Strong AI. In his book The Singularity is Near he focuses on whole brain emulation using conventional computing machines as an approach to implementing artificial brains, and claims (on grounds of computer power continuing an exponential growth trend) that this could be done by 2025. Henry Markram, director of the Blue Brain project (which is attempting brain emulation), made a similar claim (2020) at the Oxford TED conference in 2009.Contents   1 Approaches to brain simulation2 Artificial brain thought experiment4 Notes and referencesApproaches to brain simulation[edit]Estimates of how much processing power is needed to emulate a human brain at verious levels (from Ray Kurzweil, and Anders Sandberg and Nick Bostrom), along with the fastest supercomputer from TOP500 mapped by year.Although direct brain emulation using artificial neural networks on a high-performance computing engine is a common approach, there are other approaches. An alternative artificial brain implementation could be based on Holographic Neural Technology (HNeT) non linear phase coherence/decoherence principles. The analogy has been made to quantum processes through the core synaptic algorithm which has strong similarities to the QM wave equation.EvBrain is a form of evolutionary software that can evolve “brainlike” neural networks, such as the network immediately behind the retina.Since November 2008, IBM received a $4.9 million grant from the Pentagon for research into creating intelligent computers. The Blue Brain project is being conducted with the assistance of IBM in Lausanne. The project is based on the premise that it is possible to artificially link the neurons “in the computer” by placing thirty million synapses in their proper three-dimensional position.In March 2008, Blue Brain project was progressing faster than expected: “Consciousness is just a massive amount of information being exchanged by trillions of brain cells.” Some proponents of strong AI speculate that computers in connection with Blue Brain and Soul Catcher may exceed human intellectual capacity by around 2015, and that it is likely that we will be able to download the human brain at some time around 2050.There are good reasons to believe that, regardless of implementation strategy, the predictions of realising artificial brains in the near future are optimistic. In particular brains (including the human brain) and cognition are not currently well understood, and the scale of computation required is unknown. In addition there seem to be power constraints. The brain consumes about 20W of power whereas supercomputers may use as much as 1MW or an order of 100,000 more (note: Landauer limit is 3.5×1020 op/sec/watt at room temperature).Artificial brain thought experiment[edit]Some critics of brain simulation believe that it is simpler to create general intelligent action directly without imitating nature. Some commentators have used the analogy that early attempts to construct flying machines modeled them after birds, but that modern aircraft do not look like birds. A computational argument is used in AI – What is this, where it is shown that, if we have a formal definition of general AI, the corresponding program can be found by enumerating all possible programs and then testing each of them to see whether it matches the definition. No appropriate definition currently exists. – Approaches to brain simulation

Although direct brain emulation using artificial neural networks on a high-performance computing engine is a common approach, there are other approaches. An alternative artificial brain implementation could be based on Holographic Neural Technology (HNeT) non linear phase coherence/decoherence principles. The analogy has been made to quantum processes through the core synaptic algorithm which has strong similarities to the QM wave equation.

Artificial brainArtificial brain (or artificial mind) is a term commonly used in the media to describe research that aims to develop software and hardware with cognitive abilities similar to those of the animal or human brain. Research investigating “artificial brains” plays three important roles in science:An ongoing attempt by neuroscientists to understand how the human brain works, known as cognitive neuroscience.A thought experiment in the philosophy of artificial intelligence, demonstrating that it is possible, in theory, to create a machine that has all the capabilities of a human being.A serious long term project to create machines with strong AI, capable of general intelligent action (or Artificial General Intelligence), i.e. as intelligent as a human being.An example of the first objective is the project reported by Aston University in Birmingham, England where researchers are using biological cells to create “neurospheres” (small clusters of neurons) in order to develop new treatments for diseases including Alzheimer’s, Motor Neurone and Parkinson’s Disease.The second objective is a reply to arguments such as John Searle’s Chinese room argument, Hubert Dreyfus’ critique of AI or Roger Penrose’s argument in The Emperor’s New Mind. These critics argued that there are aspects of human consciousness or expertise that can not be simulated by machines. One reply to their arguments is that the biological processes inside the brain can be simulated to any degree of accuracy. This reply was made as early as 1950, by Alan Turing in his classic paper “Computing Machinery and Intelligence”.The third objective is generally called artificial general intelligence by researchers. However Kurzweil prefers the more memorable term Strong AI. In his book The Singularity is Near he focuses on whole brain emulation using conventional computing machines as an approach to implementing artificial brains, and claims (on grounds of computer power continuing an exponential growth trend) that this could be done by 2025. Henry Markram, director of the Blue Brain project (which is attempting brain emulation), made a similar claim (2020) at the Oxford TED conference in 2009.Contents   1 Approaches to brain simulation2 Artificial brain thought experiment4 Notes and referencesApproaches to brain simulation[edit]Estimates of how much processing power is needed to emulate a human brain at verious levels (from Ray Kurzweil, and Anders Sandberg and Nick Bostrom), along with the fastest supercomputer from TOP500 mapped by year.Although direct brain emulation using artificial neural networks on a high-performance computing engine is a common approach, there are other approaches. An alternative artificial brain implementation could be based on Holographic Neural Technology (HNeT) non linear phase coherence/decoherence principles. The analogy has been made to quantum processes through the core synaptic algorithm which has strong similarities to the QM wave equation.EvBrain is a form of evolutionary software that can evolve “brainlike” neural networks, such as the network immediately behind the retina.Since November 2008, IBM received a $4.9 million grant from the Pentagon for research into creating intelligent computers. The Blue Brain project is being conducted with the assistance of IBM in Lausanne. The project is based on the premise that it is possible to artificially link the neurons “in the computer” by placing thirty million synapses in their proper three-dimensional position.In March 2008, Blue Brain project was progressing faster than expected: “Consciousness is just a massive amount of information being exchanged by trillions of brain cells.” Some proponents of strong AI speculate that computers in connection with Blue Brain and Soul Catcher may exceed human intellectual capacity by around 2015, and that it is likely that we will be able to download the human brain at some time around 2050.There are good reasons to believe that, regardless of implementation strategy, the predictions of realising artificial brains in the near future are optimistic. In particular brains (including the human brain) and cognition are not currently well understood, and the scale of computation required is unknown. In addition there seem to be power constraints. The brain consumes about 20W of power whereas supercomputers may use as much as 1MW or an order of 100,000 more (note: Landauer limit is 3.5×1020 op/sec/watt at room temperature).Artificial brain thought experiment[edit]Some critics of brain simulation believe that it is simpler to create general intelligent action directly without imitating nature. Some commentators have used the analogy that early attempts to construct flying machines modeled them after birds, but that modern aircraft do not look like birds. A computational argument is used in AI – What is this, where it is shown that, if we have a formal definition of general AI, the corresponding program can be found by enumerating all possible programs and then testing each of them to see whether it matches the definition. No appropriate definition currently exists. – Approaches to brain simulation

EvBrain is a form of evolutionary software that can evolve “brainlike” neural networks, such as the network immediately behind the retina.

Artificial brainArtificial brain (or artificial mind) is a term commonly used in the media to describe research that aims to develop software and hardware with cognitive abilities similar to those of the animal or human brain. Research investigating “artificial brains” plays three important roles in science:An ongoing attempt by neuroscientists to understand how the human brain works, known as cognitive neuroscience.A thought experiment in the philosophy of artificial intelligence, demonstrating that it is possible, in theory, to create a machine that has all the capabilities of a human being.A serious long term project to create machines with strong AI, capable of general intelligent action (or Artificial General Intelligence), i.e. as intelligent as a human being.An example of the first objective is the project reported by Aston University in Birmingham, England where researchers are using biological cells to create “neurospheres” (small clusters of neurons) in order to develop new treatments for diseases including Alzheimer’s, Motor Neurone and Parkinson’s Disease.The second objective is a reply to arguments such as John Searle’s Chinese room argument, Hubert Dreyfus’ critique of AI or Roger Penrose’s argument in The Emperor’s New Mind. These critics argued that there are aspects of human consciousness or expertise that can not be simulated by machines. One reply to their arguments is that the biological processes inside the brain can be simulated to any degree of accuracy. This reply was made as early as 1950, by Alan Turing in his classic paper “Computing Machinery and Intelligence”.The third objective is generally called artificial general intelligence by researchers. However Kurzweil prefers the more memorable term Strong AI. In his book The Singularity is Near he focuses on whole brain emulation using conventional computing machines as an approach to implementing artificial brains, and claims (on grounds of computer power continuing an exponential growth trend) that this could be done by 2025. Henry Markram, director of the Blue Brain project (which is attempting brain emulation), made a similar claim (2020) at the Oxford TED conference in 2009.Contents   1 Approaches to brain simulation2 Artificial brain thought experiment4 Notes and referencesApproaches to brain simulation[edit]Estimates of how much processing power is needed to emulate a human brain at verious levels (from Ray Kurzweil, and Anders Sandberg and Nick Bostrom), along with the fastest supercomputer from TOP500 mapped by year.Although direct brain emulation using artificial neural networks on a high-performance computing engine is a common approach, there are other approaches. An alternative artificial brain implementation could be based on Holographic Neural Technology (HNeT) non linear phase coherence/decoherence principles. The analogy has been made to quantum processes through the core synaptic algorithm which has strong similarities to the QM wave equation.EvBrain is a form of evolutionary software that can evolve “brainlike” neural networks, such as the network immediately behind the retina.Since November 2008, IBM received a $4.9 million grant from the Pentagon for research into creating intelligent computers. The Blue Brain project is being conducted with the assistance of IBM in Lausanne. The project is based on the premise that it is possible to artificially link the neurons “in the computer” by placing thirty million synapses in their proper three-dimensional position.In March 2008, Blue Brain project was progressing faster than expected: “Consciousness is just a massive amount of information being exchanged by trillions of brain cells.” Some proponents of strong AI speculate that computers in connection with Blue Brain and Soul Catcher may exceed human intellectual capacity by around 2015, and that it is likely that we will be able to download the human brain at some time around 2050.There are good reasons to believe that, regardless of implementation strategy, the predictions of realising artificial brains in the near future are optimistic. In particular brains (including the human brain) and cognition are not currently well understood, and the scale of computation required is unknown. In addition there seem to be power constraints. The brain consumes about 20W of power whereas supercomputers may use as much as 1MW or an order of 100,000 more (note: Landauer limit is 3.5×1020 op/sec/watt at room temperature).Artificial brain thought experiment[edit]Some critics of brain simulation believe that it is simpler to create general intelligent action directly without imitating nature. Some commentators have used the analogy that early attempts to construct flying machines modeled them after birds, but that modern aircraft do not look like birds. A computational argument is used in AI – What is this, where it is shown that, if we have a formal definition of general AI, the corresponding program can be found by enumerating all possible programs and then testing each of them to see whether it matches the definition. No appropriate definition currently exists. – Approaches to brain simulation

Since November 2008, IBM received a $4.9 million grant from the Pentagon for research into creating intelligent computers. The Blue Brain project is being conducted with the assistance of IBM in Lausanne. The project is based on the premise that it is possible to artificially link the neurons “in the computer” by placing thirty million synapses in their proper three-dimensional position.

Artificial brainArtificial brain (or artificial mind) is a term commonly used in the media to describe research that aims to develop software and hardware with cognitive abilities similar to those of the animal or human brain. Research investigating “artificial brains” plays three important roles in science:An ongoing attempt by neuroscientists to understand how the human brain works, known as cognitive neuroscience.A thought experiment in the philosophy of artificial intelligence, demonstrating that it is possible, in theory, to create a machine that has all the capabilities of a human being.A serious long term project to create machines with strong AI, capable of general intelligent action (or Artificial General Intelligence), i.e. as intelligent as a human being.An example of the first objective is the project reported by Aston University in Birmingham, England where researchers are using biological cells to create “neurospheres” (small clusters of neurons) in order to develop new treatments for diseases including Alzheimer’s, Motor Neurone and Parkinson’s Disease.The second objective is a reply to arguments such as John Searle’s Chinese room argument, Hubert Dreyfus’ critique of AI or Roger Penrose’s argument in The Emperor’s New Mind. These critics argued that there are aspects of human consciousness or expertise that can not be simulated by machines. One reply to their arguments is that the biological processes inside the brain can be simulated to any degree of accuracy. This reply was made as early as 1950, by Alan Turing in his classic paper “Computing Machinery and Intelligence”.The third objective is generally called artificial general intelligence by researchers. However Kurzweil prefers the more memorable term Strong AI. In his book The Singularity is Near he focuses on whole brain emulation using conventional computing machines as an approach to implementing artificial brains, and claims (on grounds of computer power continuing an exponential growth trend) that this could be done by 2025. Henry Markram, director of the Blue Brain project (which is attempting brain emulation), made a similar claim (2020) at the Oxford TED conference in 2009.Contents   1 Approaches to brain simulation2 Artificial brain thought experiment4 Notes and referencesApproaches to brain simulation[edit]Estimates of how much processing power is needed to emulate a human brain at verious levels (from Ray Kurzweil, and Anders Sandberg and Nick Bostrom), along with the fastest supercomputer from TOP500 mapped by year.Although direct brain emulation using artificial neural networks on a high-performance computing engine is a common approach, there are other approaches. An alternative artificial brain implementation could be based on Holographic Neural Technology (HNeT) non linear phase coherence/decoherence principles. The analogy has been made to quantum processes through the core synaptic algorithm which has strong similarities to the QM wave equation.EvBrain is a form of evolutionary software that can evolve “brainlike” neural networks, such as the network immediately behind the retina.Since November 2008, IBM received a $4.9 million grant from the Pentagon for research into creating intelligent computers. The Blue Brain project is being conducted with the assistance of IBM in Lausanne. The project is based on the premise that it is possible to artificially link the neurons “in the computer” by placing thirty million synapses in their proper three-dimensional position.In March 2008, Blue Brain project was progressing faster than expected: “Consciousness is just a massive amount of information being exchanged by trillions of brain cells.” Some proponents of strong AI speculate that computers in connection with Blue Brain and Soul Catcher may exceed human intellectual capacity by around 2015, and that it is likely that we will be able to download the human brain at some time around 2050.There are good reasons to believe that, regardless of implementation strategy, the predictions of realising artificial brains in the near future are optimistic. In particular brains (including the human brain) and cognition are not currently well understood, and the scale of computation required is unknown. In addition there seem to be power constraints. The brain consumes about 20W of power whereas supercomputers may use as much as 1MW or an order of 100,000 more (note: Landauer limit is 3.5×1020 op/sec/watt at room temperature).Artificial brain thought experiment[edit]Some critics of brain simulation believe that it is simpler to create general intelligent action directly without imitating nature. Some commentators have used the analogy that early attempts to construct flying machines modeled them after birds, but that modern aircraft do not look like birds. A computational argument is used in AI – What is this, where it is shown that, if we have a formal definition of general AI, the corresponding program can be found by enumerating all possible programs and then testing each of them to see whether it matches the definition. No appropriate definition currently exists. – Approaches to brain simulation

In March 2008, Blue Brain project was progressing faster than expected: “Consciousness is just a massive amount of information being exchanged by trillions of brain cells.” Some proponents of strong AI speculate that computers in connection with Blue Brain and Soul Catcher may exceed human intellectual capacity by around 2015, and that it is likely that we will be able to download the human brain at some time around 2050.

Artificial brainArtificial brain (or artificial mind) is a term commonly used in the media to describe research that aims to develop software and hardware with cognitive abilities similar to those of the animal or human brain. Research investigating “artificial brains” plays three important roles in science:An ongoing attempt by neuroscientists to understand how the human brain works, known as cognitive neuroscience.A thought experiment in the philosophy of artificial intelligence, demonstrating that it is possible, in theory, to create a machine that has all the capabilities of a human being.A serious long term project to create machines with strong AI, capable of general intelligent action (or Artificial General Intelligence), i.e. as intelligent as a human being.An example of the first objective is the project reported by Aston University in Birmingham, England where researchers are using biological cells to create “neurospheres” (small clusters of neurons) in order to develop new treatments for diseases including Alzheimer’s, Motor Neurone and Parkinson’s Disease.The second objective is a reply to arguments such as John Searle’s Chinese room argument, Hubert Dreyfus’ critique of AI or Roger Penrose’s argument in The Emperor’s New Mind. These critics argued that there are aspects of human consciousness or expertise that can not be simulated by machines. One reply to their arguments is that the biological processes inside the brain can be simulated to any degree of accuracy. This reply was made as early as 1950, by Alan Turing in his classic paper “Computing Machinery and Intelligence”.The third objective is generally called artificial general intelligence by researchers. However Kurzweil prefers the more memorable term Strong AI. In his book The Singularity is Near he focuses on whole brain emulation using conventional computing machines as an approach to implementing artificial brains, and claims (on grounds of computer power continuing an exponential growth trend) that this could be done by 2025. Henry Markram, director of the Blue Brain project (which is attempting brain emulation), made a similar claim (2020) at the Oxford TED conference in 2009.Contents   1 Approaches to brain simulation2 Artificial brain thought experiment4 Notes and referencesApproaches to brain simulation[edit]Estimates of how much processing power is needed to emulate a human brain at verious levels (from Ray Kurzweil, and Anders Sandberg and Nick Bostrom), along with the fastest supercomputer from TOP500 mapped by year.Although direct brain emulation using artificial neural networks on a high-performance computing engine is a common approach, there are other approaches. An alternative artificial brain implementation could be based on Holographic Neural Technology (HNeT) non linear phase coherence/decoherence principles. The analogy has been made to quantum processes through the core synaptic algorithm which has strong similarities to the QM wave equation.EvBrain is a form of evolutionary software that can evolve “brainlike” neural networks, such as the network immediately behind the retina.Since November 2008, IBM received a $4.9 million grant from the Pentagon for research into creating intelligent computers. The Blue Brain project is being conducted with the assistance of IBM in Lausanne. The project is based on the premise that it is possible to artificially link the neurons “in the computer” by placing thirty million synapses in their proper three-dimensional position.In March 2008, Blue Brain project was progressing faster than expected: “Consciousness is just a massive amount of information being exchanged by trillions of brain cells.” Some proponents of strong AI speculate that computers in connection with Blue Brain and Soul Catcher may exceed human intellectual capacity by around 2015, and that it is likely that we will be able to download the human brain at some time around 2050.There are good reasons to believe that, regardless of implementation strategy, the predictions of realising artificial brains in the near future are optimistic. In particular brains (including the human brain) and cognition are not currently well understood, and the scale of computation required is unknown. In addition there seem to be power constraints. The brain consumes about 20W of power whereas supercomputers may use as much as 1MW or an order of 100,000 more (note: Landauer limit is 3.5×1020 op/sec/watt at room temperature).Artificial brain thought experiment[edit]Some critics of brain simulation believe that it is simpler to create general intelligent action directly without imitating nature. Some commentators have used the analogy that early attempts to construct flying machines modeled them after birds, but that modern aircraft do not look like birds. A computational argument is used in AI – What is this, where it is shown that, if we have a formal definition of general AI, the corresponding program can be found by enumerating all possible programs and then testing each of them to see whether it matches the definition. No appropriate definition currently exists. – Approaches to brain simulation

The brain consumes about 20W of power whereas supercomputers may use as much as 1MW or an order of 100,000 more (note: Landauer limit is 3.5×1020 op/sec/watt at room temperature).

Generic programming – Basic/Unconstrained genericity

The formal generic parameters are placeholders for arbitrary class names which will be supplied when a declaration of the generic class is made, as shown in the two generic derivations below, where ACCOUNT and DEPOSIT are other class names. ACCOUNT and DEPOSIT are considered actual generic parameters as they provide real class names to substitute for G in actual use.

Generic programming – Basic/Unconstrained genericity

Within the Eiffel type system, although class LIST [G] is considered a class, it is not considered a type. However, a generic derivation of LIST [G] such as LIST [ACCOUNT] is considered a type.

Generic programming – Constrained genericity

For the list class shown above, an actual generic parameter substituting for G can be any other available class. To constrain the set of classes from which valid actual generic parameters can be chosen, a generic constraint can be specified. In the declaration of class SORTED_LIST below, the generic constraint dictates that any valid actual generic parameter will be a class which inherits from class COMPARABLE. The generic constraint ensures that elements of a SORTED_LIST can in fact be sorted.

Tim O’Reilly – Global brain

O’Reilly believes that the Internet will develop into a global brain, an intelligent network of people and machines that will function as a nervous system for the planet Earth. This phenomenon will occur because humans will use technologies such as Social Media or the Internet of things more frequently and efficiently. O’Reilly has recently presented this topic in a number of lectures.

Sandstone – Framework grains

Framework grains are sand-sized (1/16 to 2 mm diameter) detrital fragments that make up the bulk of a sandstone. These grains can be classified into several different categories based on their mineral composition:

Sandstone – Framework grains

Quartz framework grains are the dominate minerals in most sedimentary rocks; this is because they have exceptional physical properties, such as hardness and chemical stability. These physical properties allow the quartz grains to survive multiple recycling events, while also allowing the grains to display some degree of rounding. Quartz grains evolve from plutonic rock, which are felsic in origin and also from older sandstones that have been recycled.

Sandstone – Framework grains

Feldspathic framework grains are commonly the second most abundant mineral in sandstones. Feldspar can be divided into two smaller subdivisions: alkali feldspars and plagioclase feldspars. The different types of feldspar can be distinguished under a petrographic microscope. Below is a description of the different types of feldspar.

Sandstone – Framework grains

Alkali feldspar is a group of minerals in which the chemical composition of the mineral can range from KAlSi3O8 to NaAlSi3O8, this represents a complete solid solution.

Sandstone – Framework grains

Plagioclase feldspar is a complex group of solid solution minerals that range in composition from NaAlSi3O8 to CaAl2Si2O8.

Sandstone – Framework grains

Lithic framework grains are pieces of ancient source rock that have yet to weather away to individual mineral grains, called lithic fragments or clasts. Lithic fragments can be any fine-grained or coarse-grained igneous, metamorphic, or sedimentary rock. Although, the most common lithic fragment found in sedimentary rocks are clasts of volcanic rocks.

Sandstone – Framework grains

Many of these accessory grains are more dense than the silicates that make up the bulk of the rock

Parallel computing – Fine-grained, coarse-grained, and embarrassing parallelism

Applications are often classified according to how often their subtasks need to synchronize or communicate with each other. An application exhibits fine-grained parallelism if its subtasks must communicate many times per second; it exhibits coarse-grained parallelism if they do not communicate many times per second, and it is embarrassingly parallel if they rarely or never have to communicate. Embarrassingly parallel applications are considered the easiest to parallelize.

Brain-reading

Brain-reading uses the responses of multiple voxels in the brain evoked by stimulus then detected by fMRI in order to decode the original stimulus. Brain reading studies differ in the type of decoding (i.e. classification, identification and reconstruction) employed, the target (i.e. decoding visual patterns, auditory patterns, cognitive states), and the decoding algorithms (linear classification, nonlinear classification, direct reconstruction, Bayesian reconstruction, etc.) employed.

Brain-reading – Classification

In classification, a pattern of activity across multiple voxels is used to determine the particular class from which the stimulus was drawn. Many studies have classified visual stimuli, but this approach has also been used to classify cognitive states.

Brain-reading – Reconstruction

In reconstruction brain reading the aim is to create a literal picture of the image that was presented. Early studies used voxels from early visual cortex areas (V1, V2, and V3) to reconstruct geometric stimuli made up of flickering checkerboard patterns.

Brain-reading – Natural images

This brain reading approach uses three components: A structural encoding model that characterizes responses in early visual areas; a semantic encoding model that characterizes responses in anterior visual areas; and a Bayseian prior that describes the distribution of structural and semantic scene statistics.

Brain-reading – Natural images

Experimentally the procedure is for subjects to view 1750 black and white natural images that are correlated with voxel activation in their brains. Then subjects viewed another 120 novel target images, and information from the earlier scans is used reconstruct them. Natural images used include pictures of a seaside cafe and harbor, performers on a stage, and dense foliage.

Brain-reading – Other types

It is possible to track which of two forms of rivalrous binocular illusions a person was subjectively experiencing from fMRI signals. The category of event which a person freely recalls can be identified from fMRI before they say what they remembered. Statistical analysis of EEG brainwaves has been claimed to allow the recognition of phonemes, and at a 60% to 75% level color and visual shape words. It has also been shown that brain-reading can be achieved in a complex virtual environment.

Brain-reading – Accuracy

Brain-reading accuracy is increasing steadily as the quality of the data and the complexity of the decoding algorithms improve. In one recent experiment it was possible to identify which single image was being seen from a set of 120. In another it was possible to correctly identify 90% of the time which of two categories the stimulus came and the specific semantic category (out of 23) of the target image 40% of the time.

Brain-reading – Limitations

“In practice, exact reconstructions are impossible to achieve by any reconstruction algorithm on the basis of brain activity signals acquired by fMRI

Representational state transfer – Constraints

The REST architectural style describes the following six constraints applied to the architecture, while leaving the implementation of the individual components free to design:

Representational state transfer – Constraints

A uniform interface separates clients from servers. This separation of concerns means that, for example, clients are not concerned with data storage, which remains internal to each server, so that the portability of client code is improved. Servers are not concerned with the user interface or user state, so that servers can be simpler and more scalable. Servers and clients may also be replaced and developed independently, as long as the interface between them is not altered.

Representational state transfer – Constraints

The client–server communication is further constrained by no client context being stored on the server between requests. Each request from any client contains all of the information necessary to service the request, and session state is held in the client. Important to note is that the session state can be transferred by the server to another service such as a database to maintain a persistent state for a period of time and allow authentication.

Representational state transfer – Constraints

As on the World Wide Web, clients can cache responses. Responses must therefore, implicitly or explicitly, define themselves as cacheable, or not, to prevent clients reusing stale or inappropriate data in response to further requests. Well-managed caching partially or completely eliminates some client–server interactions, further improving scalability and performance.

Representational state transfer – Constraints

A client cannot ordinarily tell whether it is connected directly to the end server, or to an intermediary along the way. Intermediary servers may improve system scalability by enabling load-balancing and by providing shared caches. They may also enforce security policies.

Representational state transfer – Constraints

Servers can temporarily extend or customize the functionality of a client by the transfer of executable code. Examples of this may include compiled components such as Java applets and client-side scripts such as JavaScript. “Code on demand” is the only optional constraint of the REST architecture.

Representational state transfer – Constraints

The uniform interface between clients and servers, discussed below, simplifies and decouples the architecture, which enables each part to evolve independently. The four guiding principles of this interface are detailed below.

Representational state transfer – Constraints

One can characterise applications conforming to the REST constraints described in this section as “RESTful”. If a service violates any of the required constraints, it cannot be considered RESTful.

Representational state transfer – Constraints

Complying with these constraints, and thus conforming to the REST architectural-style, enables any kind of distributed hypermedia system to have desirable emergent properties, such as performance, scalability, simplicity, modifiability, visibility, portability, and reliability.

Flight attendant – Training

One of the most elaborate training facilities was Breech Academy which Trans World Airlines (TWA) opened in 1969 in Overland Park, Kansas

Flight attendant – Training

Safety training includes, but is not limited to: emergency passenger evacuation management, use of evacuation slides/life rafts, in-flight firefighting, survival in the jungle, sea, desert, ice, first aid, CPR, defibrillation, ditching/emergency landing procedures, decompression emergencies, Crew Resource Management and security.

Flight attendant – Training

Either or both of these may be earned depending upon the type of aircraft (propeller or turbofan) on which the holder has trained.

Flight attendant – Training

In some countries, such as France, a degree is required, together with the Certificat de Formation à la Sécurité (safety training certificate).

Digital Light Processing – The color wheel “rainbow effect”

Some people perceive these rainbow artifacts frequently, while others may never see them at all.

Digital Light Processing – The color wheel “rainbow effect”

This effect is caused by the way the eye follows a moving object on the projection

Digital Light Processing – The color wheel “rainbow effect”

“Three-chip DLP projectors have no color wheels, and thus do not manifest this [rainbow] artifact.”

Educational software – Software in corporate training and tertiary education

Earlier educational software for the important corporate and tertiary education markets was designed to run on a single desktop computer (or an equivalent user device)

Educational software – Software in corporate training and tertiary education

Virtual learning environment, LMS (learning management system)

Audi A4 – Powertrain

The B8 powertrain options are the following: engines, transmissions and drivelines: (All United Kingdom specification unless stated otherwise).(for South Africa specification).(for Australia specification).(for New Zealand specification).

Audi A4 – Powertrain

Model Engine code Years displacement / type [email protected] [email protected]

Audi A4 – Powertrain

S4 quattro/3.0 TFSI CAKA 2009- 2,995 cc (183 cu in) 24v V6 supercharged 333 PS (245 kW; 328 hp) @5500-7000 440 N·m (325 lb·ft) @2900-5300

Audi A4 – Powertrain

2.0 TDI e CAGB 2009- 1,968 cc (120 cu in) 16v I4 turbo 136 PS (100 kW; 134 hp) @4200 320 N·m (236 lb·ft) @1750-2500

Audi A4 – Powertrain

2.0 TDI, 2.0 TDI quattro CAGA 2007- 1,968 cc (120 cu in) 16v I4 variable geometry turbo 143 PS (105 kW; 141 hp) @4200 320 N·m (236 lb·ft) @1750-2500

Audi A4 – Powertrain

2.0 TDI, 2.0 TDI quattro CAHA 2008- 1,968 cc (120 cu in) 16v I4 variable geometry turbo 170 PS (125 kW; 168 hp) @4200 350 N·m (258 lb·ft) @1750-2500

Audi A4 – Powertrain

The quattro permanent four-wheel drive system uses the latest Torsen T-3 centre differential, with a default 40:60 front to rear asymmetric torque distribution ratio (used first on the B7 RS4) as standard. (Previous A4 quattro models split torque with a default front:rear 50:50). The additional torque bias applied to the rear wheels helps mimic the driving dynamics of rear wheel drive cars.

Audi A4 – Powertrain

Audi was reported to stop offering 3.2L V6 models in 2010 model year, but still offers them as of August 2011 (Germany).

Audi A4 – Powertrain

All petrol engines use Fuel Stratified Injection (FSI), and all diesel engines use the common rail fuel delivery (with a pressure of 1,600 bars (23,000 psi)), with piezo injectors of their Turbocharged Direct Injection engines.

Mind uploading – Brain imaging

It may also be possible to create functional 3D maps of the brain activity, using advanced neuroimaging technology, such as functional MRI (fMRI, for mapping change in blood flow), Magnetoencephalography (MEG, for mapping of electrical currents), or combinations of multiple methods, to build a detailed three-dimensional model of the brain using non-invasive and non-destructive methods

Mind uploading – Rodent brain simulation

The initial goal of the project, completed in December 2006, was the simulation of a rat neocortical column, which can be considered the smallest functional unit of the neocortex (the part of the brain thought to be responsible for higher functions such as conscious thought), containing 10,000 neurons (and 108 synapses)

Mind uploading – Rodent brain simulation

Ultimately the goal of this prize is to generate a whole brain map which may be used in support of separate efforts to upload and possibly ‘reboot’ a mind in virtual space.

Muslim Brotherhood – Bahrain

In Bahrain, the Muslim Brotherhood is represented by the Al Eslah Society and its political wing, the Al-Menbar Islamic Society

Muslim Brotherhood – Bahrain

In March 2009, the Shi’a group The Islamic Enlightenment Society held its annual conference with the announced aim of diffusing tension between Muslim branches. The society invited national Sunni and Shi’a scholars to participate. Bahraini independent Salafi religious scholars Sheikh Salah Al Jowder and Sheikh Rashid Al Muraikhi, and Shi’a clerics Sheikh Isa Qasim and Abdulla Al Ghoraifi spoke about the importance of sectarian cooperation. Additional seminars were held throughout the year.

Muslim Brotherhood – Bahrain

In 2010, the U.S. government sponsored the visit of Al-Jowder, described as a prominent Sunni cleric, to the United States for a three-week interfaith dialogue program in several cities.

Neuroprosthetics – Traumatic Brain Injury

More than 1.7 million people in the United States suffer traumatic brain injury every year. Orthosis for TBI patients to control limb movement via devices that read neurons in brain, calculate limb trajectory, and stimulate needed motor pools to make movement. (Anderson Paper, Cole at NIH – specifically “Computer software as an orthosis for Brain Injury”,)

Sintering – Densification, vitrification and grain growth

Since densification of powders requires high temperatures, grain growth naturally occurs during sintering

Sintering – Densification, vitrification and grain growth

For densification to occur at a quick pace it is essential to have (1) an amount of liquid phase that is large in size, (2) a near complete solubility of the solid in the liquid, and (3) wetting of the solid by the liquid

Sintering – Densification, vitrification and grain growth

Densification requires constant capillary pressure where just solution-precipitation material transfer would not produce densification. For further densification, additional particle movement while the particle undergoes grain-growth and grain-shape changes occurs. Shrinkage would result when the liquid slips between particles and increase pressure at points of contact causing the material to move away from the contact areas forcing particle centers to draw near each other.

Sintering – Densification, vitrification and grain growth

The sintering of liquid-phase materials involve a fine-grained solid phase to create the needed capillary pressures proportional to its diameter and the liquid concentration must also create the required capillary pressure within range, else the process ceases

Sintering – Grain growth

Abnormal growth is when a few grains grow much larger than the remaining majority.

Sintering – Grain boundary energy/tension

The atoms in the GB are normally in a higher energy state than their equivalent in the bulk material. This is due to their more stretched bonds, which gives rise to a GB tension . This extra energy that the atoms possess is called the grain boundary energy, . The grain will want to minimize this extra energy thus striving to make the grain boundary area smaller and this change requires energy.

Sintering – Grain boundary energy/tension

“Or, in other words, a force has to be applied, in the plane of the grain boundary and acting along a line in the grain-boundary area, in order to extend the grain-boundary area in the direction of the force. The force per unit length, i.e. tension/stress, along the line mentioned is ?GB. On the basis of this reasoning it would follow:

Sintering – Grain boundary energy/tension

with dA as the increase of grain-boundary area per unit length along the line in the grain-boundary area considered.” [pg 478]

Sintering – Grain boundary energy/tension

The GB tension can also be thought of as the attractive forces between the atoms at the surface and the tension between these atoms is due to the fact that there is a larger interatomic distance between them at the surface compared to the bulk (i.e

Sintering – Grain boundary energy/tension

holds true. For solids, on the other hand, diffusion of atoms to the surface might not be sufficient and the surface tension can vary with an increase in surface area. For a solid, one can derive an expression for the change in Gibbs free energy, dG, upon the change of GB area, dA. dG is given by

Sintering – Grain boundary energy/tension

is normally expressed in units of while is normally expressed in units of since they are different physical properties.

Sintering – Reducing grain growth

This decrease in net chemical potential will decrease the grain boundary velocity and therefore grain growth.

Sintering – Reducing grain growth

Since it is beneficial for particles to reside in the grain boundaries and they exert a force in opposite direction compared to the grain boundary migration

Sintering – Reducing grain growth

where r is the radius of the particle and ? the interfacial energy of the boundary if there are N particles per unit volume their volume fraction f is

Sintering – Reducing grain growth

assuming they are randomly distributed. A boundary of unit area will intersect all particles within a volume of 2r which is 2Nr particles. So the number of particles n intersecting a unit area of grain boundary is:

Sintering – Reducing grain growth

Now assuming that the grains only grow due to the influence of curvature, the driving force of growth is where (for homogeneous grain structure) R approximates to the mean diameter of the grains. With this the critical diameter that has to be reached before the grains ceases to grow:

Sintering – Reducing grain growth

This can be reduced to so the critical diameter of the grains is dependent of the size and volume fraction of the particles at the grain boundaries.

Sintering – Reducing grain growth

It has also been shown that small bubbles or cavities can act as inclusion

Sintering – Reducing grain growth

More complicated interactions which slow grain boundary motion include interactions of the surface energies of the two grains and the inclusion and are discussed in detail by C.S. Smith.

Systems development life-cycle – Training and transition

Once a system has been stabilized through adequate testing, the SDLC ensures that proper training on the system is performed or documented before transitioning the system to its support staff and end users.

Systems development life-cycle – Training and transition

Training usually covers operational training for those people who will be responsible for supporting the system as well as training for those end users who will be using the system after its delivery to a production operating environment.

Systems development life-cycle – Training and transition

After training has been successfully completed, systems engineers and developers transition the system to its final production environment, where it is intended to be used by its end users and supported by its support and operations staff.

Occupational health psychology – Job strain and CVD

A review of 17 longitudinal studies having reasonably high internal validity found that 8 showed a significant relation between job strain and CVD and 3 more showed a nonsignificant relation

Isolated brain

An isolated brain however is more typically attached to an artificial perfusion device rather than a biological body.

Isolated brain

The brains of many different organisms have been kept alive in-vitro for hours, or in some cases days. The central nervous system of invertebrate animals is often easily maintained as they need less oxygen and to a larger extent get their oxygen from CSF; for this reason their brains are more easily maintained without perfusion. Mammalian brains on the other hand have a much lesser degree of survival without perfusion and an artificial blood perfusate is usually used.

Isolated brain

For methodological reasons, most research on isolated mammalian brains has been done with guinea pigs. These animals have a significantly larger basilar artery (a major artery of the brain) compared to rats and mice, which makes cannulation (to supply CSF) much easier.

Isolated brain – History

1812 – Julien Jean César Le Gallois (a.k.a. Legallois) put forth the original idea for resuscitating severed heads through the use of blood transfusion.

Isolated brain – History

1818 – Mary Shelley published Frankenstein; or, the Modern Prometheus

Isolated brain – History

1836 – Astley Cooper showed in rabbits that compression of the carotid and vertebral arteries leads to death of an animal; such deaths can be prevented if the circulation of oxygenated blood to the brain is rapidly restored.

Isolated brain – History

1857 – Charles Brown-Sequard decapitated a dog, waited ten minutes, attached four rubber tubes to the arterial trunks of the head, and injected blood containing oxygen by means of a syringe. Two or three minutes later voluntary movements of the eyes and muscles of the muzzle resumed. After cessation of oxygenated blood transfusion movements stopped.

Isolated brain – History

1887 – Jean Baptiste Vincent Laborde made what appears to be first recorded attempt to revive the heads of executed criminals by connecting the carotid artery of the severed human head to the carotid artery of a large dog. According to Laborde’s account, in isolated experiments a partial restoration of brain function was attained.

Isolated brain – History

1912 – Corneille Heymans maintained life in an isolated dog’s head by connecting the carotid artery and jugular vein of the severed head to the carotid artery and jugular vein of another dog. Partial functioning in the severed head was maintained for a few hours.

Isolated brain – History

1928 – Sergey Bryukhonenko showed life could be maintained in the severed head of a dog by connecting the carotid artery and jugular vein to an artificial circulation machine.

Isolated brain – History

1963 – Robert J. White isolated the brain from one monkey and attached it to the circulatory system of another animal.

Isolated brain – In philosophy

A contemporary version of the argument originally given by Descartes in Meditations on First Philosophy (i.e., that he could not trust his perceptions on the grounds that an evil demon might, conceivably, be controlling his every experience), the brain in a vat is the idea that a brain can be fooled into anything when fed appropriate stimuli.

Isolated brain – In philosophy

According to such science fiction stories, the computer would then be simulating a Virtual Reality (including appropriate responses to the brain’s own output) and the person with the “disembodied” brain would continue to have perfectly normal conscious experiences without these being related to objects or events in the real world.

Isolated brain – Growing an isolated brain

Isolated biological “brains”, grown from cultured neurons which were originally separated, have been developed. These are not the same thing as the brains of organisms, but they have been used to control some simple robotic systems.

Isolated brain – Growing an isolated brain

In 2004 Thomas DeMarse and Karl Dockendorf make an adaptive flight control with living neuronal networks on microelectrode arrays.

Isolated brain – Growing an isolated brain

Teams at the Georgia Institute of Technology and the University of Reading have created neurological entities integrated with a robot body. The brain receives input from sensors on the robot body and the resultant output from the brain provides the robot’s only motor signals.

Isolated brain – Isolated brains in fiction

Many people in the Ghost in the Shell manga and anime franchise possess cyberbrains, which can sustain a modified human brain within a cybernetic body indefinitely.

Isolated brain – Isolated brains in fiction

In the Fallout series of games, isolated brains are used to control robots.

Isolated brain – Isolated brains in fiction

The Mi-go aliens in the Cthulhu Mythos of H. P. Lovecraft, first appearing in the story “The Whisperer in Darkness” (1931), can transport humans from Earth to Pluto (and beyond) and back again by removing the subject’s brain and placing it into a “brain cylinder”, which can be attached to external devices to allow it to see, hear, and speak.

Isolated brain – Isolated brains in fiction

In Alexander Beliaev’s novel Head of Prof. Dowell (1925), Professor Dowell discovers a way of keeping heads of dead people alive and even to give them new bodies. After his death Dowell himself becomes a subject of such an experiment

Isolated brain – Isolated brains in fiction

In Donovan’s Brain (see term), the 1942 science fiction novel by Curt Siodmak (filmed three times in different versions: 1942, 1953 and 1962), the brain of a ruthless millionaire is kept alive in a tank where it grows to monstrous proportions and powers.

Isolated brain – Isolated brains in fiction

Vagrant enjoyed a sentient dragon’s life for a few decades after that, until the body grew too senile, and on the threshold of the dragon’s death the brain was removed again to assume control over a starship.

Isolated brain – Isolated brains in fiction

Additionally, in the modern Doctor Who series (2005–present), the recurring antagonists known as the Cybermen are presented as human brains (in one instance, an entire human head) encased in mechanical exoskeletons, connected by an artificial nervous system; this is ostensibly done as an “upgrade” from the comparatively fragile human body to a far more durable and longer-lasting shell

Isolated brain – Isolated brains in fiction

In the Legends of Dune prequel trilogy to the novel Dune, Cymeks are disembodied brains that wear robotic bodies.

Isolated brain – Isolated brains in fiction

In Robocop 2, the brain, eyes, and much of the nervous system of the Detroit drug lord Cain is harvested by OCP officials to use in their plans for an upgraded “Robocop 2” cyborg. These systems are stored in a vat shortly after the surgery, where the disembodied Cain can still see the remains of his former body being discarded before being placed into the fitted robotic skeleton.

Isolated brain – Isolated brains in fiction

The B’omarr Monks, of the Star Wars Universe, would surgically remove their brains from their bodies and continue their existence as a brain in a jar. They believe that cutting themselves off from civilization and all corporeal distractions leads to enlightenment. These monks are easily identified in Return of the Jedi as the spider like creature that walks past C-3PO as he enters Jabba’s Palace.

Isolated brain – Isolated brains in fiction

In the animated series Futurama, numerous technological advances have been made by the 31st century. The ability to keep heads alive in jars was invented by Ron Popeil (who has a guest cameo in “A Big Piece of Garbage”) and also apparently Dick Clark of Dick Clark’s New Year’s Rockin’ Eve fame still doing the countdown in the year 2999, has resulted in many political figures and celebrities being active; this became the writers’ excuse to feature and poke fun at celebrities in the show.

Isolated brain – Isolated brains in fiction

An example, The Ship Who Sang (1969) short story collection by science fiction author Anne McCaffrey is about the brainship Helva.

Isolated brain – Isolated brains in fiction

The Video Game Cortex Command revolves around the idea of brains being separated from physical bodies, and used to control units on a battlefield.

Isolated brain – Isolated brains in fiction

The science fantasy television series LEXX includes a robot head containing human brain tissue. Also whenever the current Divine Shadow body dies his brain is removed and placed in a device that allows him to speak and kept with rest of the Divine Predecessors.

Isolated brain – Isolated brains in fiction

In the movie Blood Diner, two cannibal brothers bring their uncle’s (isolated) brain back to life to help them in their quest to restore life to the five million year old goddess Shitaar. Their uncle’s brain instructs them to collect the required parts to resurrecting Shitaar – virgins, assorted body parts from whores, and the ingredients for a “blood buffet”.

Isolated brain – Isolated brains in fiction

In the science fiction comedy film The Man with Two Brains, the protagonist, a pioneering neurosurgeon, falls in love with a disembodied brain that was able to communicate with him telepathically.

Isolated brain – Further reading

Fleming, Chet (February 1988). If We Can Keep a Severed Head Alive…Discorporation and U.S. Patent 4,666,425. Polinym Press. ISBN 0-942287-02-9.

Isolated brain – Further reading

Librizzi L, Janigro D, De Biasi S, de Curtis M. Blood–brain barrier preservation in the in vitro isolated guinea pig brain preparation. J Neurosci Res. 2001 Oct 15;66(2):289-97. PMID 11592126

Isolated brain – Further reading

Mazzetti S, Librizzi L, Frigerio S, de Curtis M, Vitellaro-Zuccarello L. Molecular anatomy of the cerebral microvessels in the isolated guinea-pig brain. Brain Res. 2004 Feb 27;999(1):81–90. PMID 14746924

Isolated brain – Further reading

Mühlethaler M, de Curtis M, Walton K, Llinás R. The isolated and perfused brain of the guinea-pig in vitro. Eur J Neurosci. 1993 Jul 1;5(7):915-26. PMID 8281302

Isolated brain – Further reading

Kerkut GA. Studying the isolated central nervous system; a report on 35 years: more inquisitive than acquisitive. Comp Biochem Physiol A. 1989;93(1):9–24. Review. PMID 2472918

Gender – Brain

Haier and colleagues at the universities of New Mexico and California (Irvine) found, using brain mapping, that men have more grey matter related to general intelligence than women, and women have more white matter related to intelligence than men – the ratio between grey and white matter is 4% higher for men than women.

Gender – Brain

Grey matter is used for information processing, while white matter consists of the connections between processing centers. Other differences are measurable but less pronounced. Most of these differences are produced by hormonal activity, ultimately derived from the Y chromosome and sexual differentiation. However, differences that arise directly from gene activity have also been observed.

Gender – Brain

A sexual dimorphism in levels of expression in brain tissue was observed by quantitative real-time PCR, with females presenting an up to 2-fold excess in the abundance of PCDH11X transcripts. We relate these findings to sexually dimorphic traits in the human brain. Interestingly, PCDH11X/Y gene pair is unique to Homo sapiens, since the X-linked gene was transposed to the Y chromosome after the human–chimpanzee lineages split.

Gender – Brain

It also appears that in several simplified cases this coding operates differently, but in some ways equivalently, in the brains of men and women

Gender – Brain

Two of the main fields that study brain structure, biological (and other) causes and behavioral (and other) results are brain neurology and biological psychology. Cognitive science is another important discipline in the field of brain research.

Bahrain

The planned Qatar Bahrain Causeway will link Bahrain and Qatar and become the world’s longest marine causeway

Bahrain

Formerly a state, Bahrain was declared a “Kingdom” in 2002

Bahrain

As of 2012, Bahrain had a high Human Development Index (ranked 48th in the world) and was recognised by the World Bank as a high income economy. The country is a member of the United Nations, the World Trade Organisation, the Arab League, the Non-Aligned Movement and the Organization of the Islamic Conference as well as a founding member of the Cooperation Council for the Arab States of the Gulf. Bahrain was designated a major non-NATO ally by the George W. Bush administration in 2001.

Bahrain

The Bahrain Formula One Grand Prix takes place at the Bahrain International Circuit.

Bahrain – Etymology

In Arabic, Bahrayn is the dual form of bahr (“sea”), so al-Bahrayn means “the Two Seas” although which two seas were originally intended remains in dispute. The term appears five times in the Qur’an, but does not refer to the modern island—originally known to the Arabs as Awal—but rather to the oases of al-Katif and Hadjar (modern al-Hasa). It is unclear when the term began to refer exclusively to the Awal islands, but it was probably after the 15th century.

Bahrain – Etymology

Today, al-Hasa belongs to Saudi Arabia and Bahrain’s “two seas” are instead generally taken to be the bay east and west of the island, the seas north and south of the island, or the salt and fresh water present above and below the ground. In addition to wells, there are areas of the sea north of Bahrain where fresh water bubbles up in the middle of the salt water as noted by visitors since antiquity.

Bahrain – Etymology

An alternate theory with regard to Bahrain’s toponymy is offered by the al-Ahsa region, which suggests that the two seas were the Great Green Ocean and a peaceful lake on the Arabian mainland. Another supposition by al-Jawahari suggests that the more formal name Bahri (lit. “belonging to the sea”) would have been misunderstood and so was opted against.

Bahrain – Etymology

Until the late Middle Ages, “Bahrain” referred to the larger historical region of Bahrain that included Al-Ahsa, Al-Qatif (both now within the Eastern Province of Saudi Arabia) and the Awal Islands (now the Bahrain Islands). The region stretched from Basra in Iraq to the Strait of Hormuz in Oman. This was Iql?m al-Bahrayn’s “Bahrayn Province”. The exact date at which the term “Bahrain” began to refer solely to the Awal archipelago is unknown.

Bahrain – Pre-Islamic period

Bahrain may have been associated with the Dilmun civilisation, an important Bronze Age trade centre linking Mesopotamia and the Indus Valley

Bahrain – Pre-Islamic period

At this time, Bahrain comprised the southern Sassanid province along with the Persian Gulf’s southern shore.

Bahrain – Pre-Islamic period

However, Bahrain was also a center of Nestorian Christianity, including two of its bishoprics.

Bahrain – Islam, Persian and Portuguese control

Traditional Islamic accounts state that Al-?Al?? Al-Ha?rami was sent as an envoy to the Bahrain region by the prophet Muhammad in 628 AD and that Munzir ibn-Sawa al-Tamimi, the local ruler, responded to his mission and converted the entire area.

Bahrain – Islam, Persian and Portuguese control

Thereafter, the Qarmatians demanded tribute from the caliph in Baghdad, and in 930 AD sacked Mecca and Medina, bringing the sacred Black Stone back to their base in Ahsa, in medieval Bahrain, for ransom

Bahrain – Islam, Persian and Portuguese control

In 1253, the Bedouin Usfurids brought down the Uyunid dynasty, thereby gaining control over eastern Arabia, including the islands of Bahrain

Bahrain – Islam, Persian and Portuguese control

In 1753, the Huwala clan of Nasr Al-Madhkur invaded Bahrain on behalf of the Iranian Zand leader Karim Khan Zand and restored direct Iranian rule.

Bahrain – Rise of the Bani Utbah

During that time, they started purchasing date palm gardens in Bahrain; a document shows that 81 years before arrival of the Al-Khalifa, one of the shaikhs of the Al Bin Ali tribe (an offshoot of the Bani Utbah) had bought a palm garden from Mariam bint Ahmed Al Sindi in Sitra island.

Bahrain – Rise of the Bani Utbah

Later, different Arab family clans and tribes from Qatar moved to Bahrain to settle after the fall of Nasr Al-Madhkur of Bushehr

Bahrain – Al Khalifa ascendancy

In 1820, the Al Khalifa tribe were recognised by Great Britain as the rulers (“Al-Hakim” in Arabic) of Bahrain after signing a treaty relationship

Bahrain – Al Khalifa ascendancy

In 1860, the Al Khalifas used the same tactic when the British tried to overpower Bahrain. Writing letters to the Persians and Ottomans, Al Khalifas agreed to place Bahrain under the latter’s protection in March due to offering better conditions. Eventually the Government of British India overpowered Bahrain when the Persians refused to protect it. Colonel Pelly signed a new treaty with Al Khalifas placing Bahrain under British rule and protection.

Bahrain – Al Khalifa ascendancy

Other agreements in 1880 and 1892 sealed the protectorate status of Bahrain to the British.

Bahrain – Al Khalifa ascendancy

Sir Arnold Wilson, Britain’s representative in the Persian Gulf and author of The Persian Gulf, arrived in Bahrain from Muscat at this time

Bahrain – Early 20th Century reforms

In 1911, a group of Bahraini merchants demanded restrictions on the British influence in the country

Bahrain – Early 20th Century reforms

Britain’s interest in Bahrain’s development was motivated by concerns over Saudi and Iranian ambitions in the region.

Bahrain – Discovery of petroleum and WWII

The Bahrain Petroleum Company (Bapco), a subsidiary of the Standard Oil Company of California (Socal), discovered oil in 1931 and production began the following year. This was to bring rapid modernisation to Bahrain. Relations with the United Kingdom became closer, as evidenced by the British Royal Navy moving its entire Middle Eastern command from Bushehr in Iran to Bahrain in 1935.[self-published source?]

Bahrain – Discovery of petroleum and WWII

Bahrain participated in the Second World War on the Allied side, joining on 10 September 1939. On 19 October 1940, four Italian SM.82s bombers bombed Bahrain alongside Dhahran oilfields in Saudi Arabia, targeting Allied-operated oil refineries. Although minimal damage was caused in both locations, the attack forced the Allies to upgrade Bahrain’s defences, an action which further stretched Allied military resources.

Bahrain – Discovery of petroleum and WWII

In 2008, Bahrain’s king appealed to former-Bahraini Jews abroad in the US and UK to return to the country and had also offered compensation and citizenship.

Bahrain – Discovery of petroleum and WWII

In the 1950s, the National Union Committee, formed by reformists following sectarian clashes, demanded an elected popular assembly, removal of Belgrave and carried out a number of protests and general strikes. In 1965 a month-long uprising broke out after hundreds of workers at the Bahrain Petroleum Company were laid off.

Bahrain – Abandonment of Iranian claim

At this time, Britain set out to change the demographics of Bahrain

Bahrain – Abandonment of Iranian claim

Eventually Iran and Britain agreed to put the matter of Dominion of Bahrain to international judgment and requested the United Nations General Secretary take on this responsibility.

Bahrain – Abandonment of Iranian claim

Iran pressed hard for a referendum in Bahrain in the face of strong opposition from both the British and the Bahraini leaders. Their opposition was based on Al Khalifa’s view that such a move would negate 150 years of their clan’s rule in the country. In the end, as an alternative to the referendum, Iran and Britain agreed to request the United Nations conduct a survey in Bahrain that would determine the political future of the territory.

Bahrain – Abandonment of Iranian claim

Report no. 9772 was submitted to the UN General Secretary and on 11 May 1970, the United Nations Security Council endorsed Winspeare’s conclusion that an overwhelming majority of the people wished recognition of Bahrain’s identity as a fully independent and sovereign state free to decide its own relations with other states. Both Britain and Iran accepted the report and brought their dispute to a close.

Bahrain – Independence

The country had already begun diversification of its economy and benefited further from Lebanese Civil War in the 1970s and 1980s, when Bahrain replaced Beirut as the Middle East’s financial hub after Lebanon’s large banking sector was driven out of the country by the war.

Bahrain – Independence

Following the 1979 Islamic revolution in Iran, in 1981 Bahraini Sh?’a fundamentalists orchestrated a failed coup attempt under the auspices of a front organisation, the Islamic Front for the Liberation of Bahrain

Bahrain – Independence

As part of the adoption of the National Action Charter on 14 February 2002, Bahrain changed its formal name from the State (dawla) of Bahrain to the Kingdom of Bahrain.

Bahrain – Independence

Following the political liberalisation of the country, Bahrain negotiated a free trade agreement with the United States in 2004.

Bahrain – Bahraini uprising

Inspired by the regional Arab Spring, large protests started in Bahrain in early 2011.:162–3 The government initially allowed protests following a pre-dawn raid on protesters camped in Pearl Roundabout.:73–4, 88 A month later it requested security assistance from Saudi Arabia and other GCC countries and declared a three-month state of emergency.:132–9 The government then launched a crackdown on opposition that included conducting thousands of arrests

Bahrain – Geography

Bahrain is a generally flat and arid archipelago in the Persian Gulf, east of Saudi Arabia. It consists of a low desert plain rising gently to a low central escarpment with the highest point the 134 m (440 ft) Mountain of Smoke (Jabal ad Dukhan). Bahrain had a total area of 665 km2 (257 sq mi) but due to land reclamation, the area increased to 767 km2 (296 sq mi), which is slightly larger than the Isle of Man.

Bahrain – Geography

Bahrain has mild winters and very hot, humid summers

Bahrain – Geography

Four alternatives for the management of groundwater quality that are available to the water authorities in Bahrain are discussed and their priority areas are proposed, based on the type and extent of each salinisation source, in addition to groundwater use in that area.

Bahrain – Climate

The Zagros Mountains across the Persian Gulf in Iraq cause low level winds to be directed toward Bahrain. Dust storms from Iraq and Saudi Arabia transported by northwesterly winds, locally called Shamal wind, cause reduced visibility in the months of June and July.

Bahrain – Climate

Due to the Persian Gulf area’s low moisture, summers are very hot and dry. The seas around Bahrain are very shallow, heating up quickly in the summer to produce high humidity, especially at night. Summer temperatures may reach up to 50 °C (122 °F) under the right conditions. Rainfall in Bahrain is minimal and irregular. Rainfalls mostly occur in winter, with a recorded maximum of 71.8 mm (2.83 in).

Bahrain – Climate

Source: World Meteorological Organisation (UN)

Bahrain – Biodiversity

In 2003, Bahrain banned the capture of sea cows, marine turtles and dolphins within its territorial waters.

Bahrain – Biodiversity

The Hawar Islands Protected Area provides valuable feeding and breeding grounds for a variety of migratory seabirds, it is an internationally recognised site for bird migration. The breeding colony of Socotra Cormorant on Hawar Islands is the largest in the world, and the dugongs foraging around the archipelago form the second largest dugong aggregation after Australia.

Bahrain – Biodiversity

Bahrain has five designated protected areas, four of which are marine environments. They are:

Bahrain – Politics

Bahrain under the Al-Khalifa regime claims to be a constitutional monarchy headed by the King, Shaikh Hamad bin Isa Al Khalifa; however, given its dictatorial oppression and lack of parliamentary power and lack of an indepedent judiciary, most observers assert that Bahrain is an absolute monarchy

Bahrain – Politics

Bahrain has a bicameral National Assembly (al-Jam’iyyah al-Watani) consisting of the Shura Council (Majlis Al-Shura) with 40 seats and the Council of Representatives (Majlis Al-Nuwab) with 40 seats

Bahrain – Politics

In 1973, the country held its first parliamentary elections; however, two years later, the late emir dissolved the parliament and suspended the constitution after it rejected the State Security Law

Bahrain – Politics

The opening up of politics saw big gains for both Sh?a and Sunn? Islamists in elections, which gave them a parliamentary platform to pursue their policies

Bahrain – Politics

Analysts of democratisation in the Middle East cite the Islamists’ references to respect for human rights in their justification for these programmes as evidence that these groups can serve as a progressive force in the region

Bahrain – Human rights

The period between 1975 and 1999 known as the “State Security Law Era”, saw wide range of human rights violations including arbitrary arrests, detention without trial, torture and forced exile. After the Emir Hamad Al Khalifa (now king) succeeded his father Isa Al Khalifa in 1999, he introduced wide reforms and human rights improved significantly. These moves were described by Amnesty International as representing a “historic period of human rights”.

Bahrain – Human rights

Human rights conditions started to decline by 2007 when torture began to be employed again. In 2011, Human Rights Watch described the country’s human rights situation as “dismal”. Due to this, Bahrain lost some of the high International rankings it had gained before.

Bahrain – Human rights

In 2011, Bahrain was criticised for its crackdown on the Arab spring uprising. In September, a government appointed commission confirmed reports of grave human rights violations including systematic torture. The government promised to introduce reforms and avoid repeating the “painful events”. However, reports by human rights organisations Amnesty International and Human Rights Watch issued in April 2012 said the same violations were still happening.

Bahrain – Women’s rights

When Bahrain was elected to head the United Nations General Assembly in 2006 it appointed lawyer and women’s rights activist Haya bint Rashid Al Khalifa President of the United Nations General Assembly, only the third woman in history to head the world body

Bahrain – Women’s rights

In 2006, Lateefa Al Gaood became the first female MP after winning by default. The number rose to four after the 2011 by-elections. In 2008, Houda Nonoo was appointed ambassador to the United States making her the first Jewish ambassador of any Arab country. In 2011, Alice Samaan, a Christian woman was appointed ambassador to the UK.

Bahrain – Media

Bahraini journalists risk prosecution for offences which include “undermining” the government and religion. Self-censorship is widespread. Journalists were targeted by officials during anti-government protests in 2011. Three editors from opposition daily Al-Wasat (Bahraini newspaper) were sacked and later fined for publishing “false” news. Several foreign correspondents were expelled.

Bahrain – Media

Bahrain will host the Saudi-financed Alarab News Channel, expected to launch in December 2012

Bahrain – Media

By December 2011, Bahrain had 694,000 internet users. The platform “provides a welcome free space for journalists, although one that is increasingly monitored”, according to Reporters Without Borders. Rigorous filtering targets political, human rights, religious material and content deemed obscene. Bloggers and other netizens were among those detained during protests in 2011.

Bahrain – Military

The kingdom has a small but well equipped military called the Bahrain Defence Force (BDF), numbering around 13,000 personnel. The supreme commander of the Bahraini military is King Hamad bin Isa Al Khalifa and the deputy supreme commander is the Crown Prince, Salman bin Hamad bin Isa Al Khalifa.

Bahrain – Military

The Government of Bahrain has close relations with the United States, having signed a cooperative agreement with the United States Military and has provided the United States a base in Juffair since the early 1990s, although a US naval presence existed since 1948

Bahrain – Foreign relations

Relations with Iran tend to be tense as a result of a failed coup in 1981 which Bahrain blames Iran for and occasional claims of Iranian sovereignty over Bahrain by ultra-conservative elements in the Iranian public.

Bahrain – Governorates

In 1960, Bahrain comprised four municipalities including Manama, Hidd, Al Muharraq, and Riffa

Bahrain – Governorates

The first municipal elections to be held in Bahrain after independence in 1971, was in 2002. The most recent was in 2010. The municipalities are listed below:

Bahrain – Governorates

Map Former Municipality

Bahrain – Governorates

7. Rifa and Southern Region

Bahrain – Governorates

After 3 July 2002, Bahrain was split into five administrative governorates, each of which has its own governor. These governorates are:

Bahrain – Economy

According to a January 2006 report by the United Nations Economic and Social Commission for Western Asia, Bahrain has the fastest growing economy in the Arab world. Bahrain also has the freest economy in the Middle East and is twelfth freest overall in the world based on the 2011 Index of Economic Freedom published by the Heritage Foundation/Wall Street Journal.

Bahrain – Economy

Petroleum production and processing account is Bahrain’s most exported product, accounting for 60% of export receipts, 70% of government revenues, and 11% of GDP

Bahrain – Economy

In 2004, Bahrain signed the US-Bahrain Free Trade Agreement, which will reduce certain trade barriers between the two nations

Bahrain – Economy

Unemployment, especially among the young, and the depletion of both oil and underground water resources are major long-term economic problems. In 2008, the jobless figure was at 4%, with women over represented at 85% of the total. In 2007 Bahrain became the first Arab country to institute unemployment benefits as part of a series of labour reforms instigated under Minister of Labour, Dr. Majeed Al Alawi.

Bahrain – Tourism

As a tourist destination, Bahrain received over eight million visitors in 2008 though the exact number varies yearly. Most of these are from the surrounding Arab states although an increasing number hail from outside the region due to growing awareness of the kingdom’s heritage and its higher profile as a result of the Bahrain International F1 Circuit.

Bahrain – Tourism

Some of the popular historical tourist attractions in the kingdom are the Al Khamis Mosque, which is the one of the oldest mosques in the region, the Arad fort in Muharraq, Barbar temple, which is an ancient temple from the Dilmunite period of Bahrain, as well as the A’ali Burial Mounds and the Saar temple

Bahrain – Tourism

Bird watching (primarily in the Hawar Islands), scuba diving and horse riding are popular tourist activities in Bahrain. Many tourists from nearby Saudi Arabia and across the region visit Manama primarily for the shopping malls in the capital Manama, such as the Bahrain City Centre and Seef Mall in the Seef district of Manama. The Manama Souq and Gold Souq in the old district of Manama are also popular with tourists.

Bahrain – Tourism

Since 2005, Bahrain annually hosts a festival in March, titled Spring of Culture, which features internationally renowned musicians and artists performing in concerts. Manama was named the Arab Capital of Culture for 2012 and Capital of Arab Tourism for 2013 by the Arab League. The 2012 festival featured concerts starring Andrea Bocelli, Julio Iglesias and other musicians.

Bahrain – Infrastructure

Bahrain has one main international airport, the Bahrain International Airport (BIA) which is located on the island of Muharraq, in the north-east. The airport handled more than 100,000 flights and more than 8 million passengers in 2010. Bahrain’s national carrier, Gulf Air operates and bases itself in the BIA.

Bahrain – Infrastructure

Bahrain has a well-developed road network, particularly in Manama. The discovery of oil in the early 1930s accelerated the creation of multiple roads and highways in Bahrain, connecting several isolated villages, such as Budaiya, to Manama.

Bahrain – Infrastructure

To the east, a bridge connected Manama to Muharraq since 1929, a new causeway was built in 1941 which replaced the old wooden bridge. Currently there are three modern bridges connecting the two locations. Transits between the two islands peaked after the construction of the Bahrain International Airport in 1932. Ring roads and highways were later built to connect Manama to the villages of the Northern Governorate and towards towns in central and southern Bahrain.

Bahrain – Infrastructure

The King Fahd Causeway, measuring 24 km (15 mi), links Bahrain with the Saudi Arabian mainland via the island of Umm an-Nasan

Bahrain – Infrastructure

Bahrain’s port of Mina Salman is the main seaport of the country and consists of 15 berths. In 2001, Bahrain had a merchant fleet of eight ships of 1,000 GRT or over, totaling 270,784 GRT. Private vehicles and taxis are the primary means of transportation in the city.

Bahrain – Telecommunications

In 2004, Zain (a rebranded version of MTC Vodafone) started operations in Bahrain and in 2010 VIVA (owned by STC Group) become the third company to provide mobile services.

Bahrain – Telecommunications

The number of Bahraini internet users has risen from 40,000 in 2000 to 250,000 in 2008, or from 5.95 to 33 percent of the population

Bahrain – Demographics

In 2010, Bahrain’s population grew to 1.2 million, of which 568,399 were Bahraini and 666,172 were non-nationals. It had risen from 1.05 million (517,368 non-nationals) in 2007, the year when Bahrain’s population crossed the one million mark. Though a majority of the population is ethnically Arab, a sizeable number of people from South Asia live in the country. In 2008, approximately 290,000 Indian nationals lived in Bahrain, making them the single largest expatriate community in the country.

Bahrain – Demographics

Bahrain is the fourth most densely populated sovereign state in the world with a population density of 1,646 people per km2 in 2010. The only sovereign states with larger population densities are city states. Much of this population is concentrated in the north of the country with the Southern Governorate being the least densely populated part. The north of the country is so urbanised that it is considered by some to be one large metropolitan area.

Bahrain – Demographics

Baha’is constitute approximately 1% of Bahrain’s total population.

Bahrain – Demographics

Bahrain is unwilling to accept Syrian refugees.

Bahrain – Languages

Among the non-Bahraini population, many people speak Persian, the official language of Iran, or Urdu, the official language of Pakistan

Bahrain – Education

Education is compulsory for children between the ages of 6 and 14. Education is free for Bahraini citizens in public schools, with the Bahraini Ministry of Education providing free textbooks. Coeducation is not used in public schools, with boys and girls segregated into separate schools.

Bahrain – Education

1919 marked the beginning of modern public school system in Bahrain when the Al-Hidaya Al-Khalifia School for boys opened in Muharraq

Bahrain – Education

In addition to British intermediate schools, the island is served by the Bahrain School (BS)

Bahrain – Education

In addition to the Arabian Gulf University, AMA International University and the College of Health Sciences, these are the only medical schools in Bahrain.

Bahrain – Health

Private hospitals are also present throughout the country, such as the International Hospital of Bahrain.

Bahrain – Health

As a result, cases of malaria and TB have declined in recent decades with cases of contractions amongst Bahraini nationals becoming rare

Bahrain – Health

Sickle cell anaemia and thalassaemia are prevalent in the country, with a study concluding that 18% of Bahrainis are carriers of sickle cell anaemia while 24% are carriers of thalassaemia.

Bahrain – Culture

Culture of Bahrain

Bahrain – Culture

Bahrain is sometimes described as “Middle East lite” due to its combination of modern infrastructure with a Persian Gulf identity. While Islam is the main religion, Bahrainis are known for their tolerance towards the practice of other faiths.

Bahrain – Culture

Rules regarding female attire are generally relaxed compared to regional neighbours; the traditional attire of women usually include the hijab or the abaya. Although the traditional male attire is the thobe which also includes traditional headdresses such as the Keffiyeh, Ghutra and Agal, Western clothing is common in the country.

Bahrain – Culture

Bahrain legalized homosexuality in 1976, including same-sex sodomy. Another facet of Bahrain’s openness is the country’s status as the most prolific book publisher in the Arab world, with 132 books published in 2005 for a population of 700,000. In comparison, the 2005 average for the entire Arab world was seven books published per one million people, according to the United Nations Development Programme.

Bahrain – Art

The architecture of Bahrain is similar to that of its Gulf neighbours

Bahrain – Literature

Literature retains a strong tradition in the country; most traditional writers and poets write in the classical Arabic style. In recent years, the number of younger poets influenced by western literature are rising, most writing in free verse and often including political or personal content. Ali Al Shargawi, a decorated longtime poet, was described in 2011 by Al Shorfa as the literary icon of Bahrain.

Bahrain – Literature

In literature, Bahrain was the site of the ancient land of Dilmun mentioned in the Epic of Gilgamesh. Legend also states that it was the location of the Garden of Eden.

Bahrain – Music

Bahrain was also the site of the first recording studio amongst the Gulf states.

Bahrain – Sports

Association football is the most popular sport in Bahrain. Bahrain’s national football team has competed multiple times at the Asian Cup, Arab Nations Cup and played in the FIFA World Cup qualifiers, though it has never qualified for the World Cup. Bahrain has its own top-tier domestic professional football league, the Bahraini Premier League. Basketball, Rugby and horse riding are also widely popular in the country.

Bahrain – Sports

Bahrain has competed in every Summer Olympic since 1984 but has never competed in the Winter Olympics.

Bahrain – Sports

The latest edition of the Bahrain Grand Prix was the 2012 Bahrain Grand Prix, that occurred despite concerns of the safety of the teams and the ongoing protests in the country

Bahrain – Sports

In 2006, Bahrain also hosted its inaugural Australian V8 Supercar event dubbed the “Desert 400”. The V8s returned every November to the Sakhir circuit until 2010, in which it was the second event of the series. The series has not returned since. The Bahrain International Circuit also features a full-length drag strip where the Bahrain Drag Racing Club has organised invitational events featuring some of Europe’s top drag racing teams to try to raise the profile of the sport in the Middle East.

Bahrain – Sports

In April 2013 2 Zimbabwean ex-pats based in Bahrain became the first men to official circumnavigate the Bahraini mainland and Hawar Islands unassisted in single man kayaks taking 6 days. Paul Curwen and Chris Bloodworth undertook their expedition to raise funds for locally based and Zimbabwean charities.

Bahrain – Holidays

On 1 September 2006, Bahrain changed its weekend from being Thursdays and Fridays to Fridays and Saturdays, in order to have a day of the weekend shared with the rest of the world. Notable holidays in the country are listed below:

EXPRESS (data modeling language) – Algorithmic constraints

Entities and defined data types may be further constrained with WHERE rules

EXPRESS (data modeling language) – Algorithmic constraints

The EXPRESS language can describe local and global rules. For example:

EXPRESS (data modeling language) – Algorithmic constraints

SUBTYPE OF (named_unit);

EXPRESS (data modeling language) – Algorithmic constraints

WR1: (SELF\named_unit.dimensions.length_exponent = 2) AND

EXPRESS (data modeling language) – Algorithmic constraints

(SELF\named_unit.dimensions.mass_exponent = 0) AND

EXPRESS (data modeling language) – Algorithmic constraints

thermodynamic_temperature_exponent = 0) AND

EXPRESS (data modeling language) – Algorithmic constraints

(SELF\named_unit.dimensions.amount_of_substance_exponent = 0) AND

EXPRESS (data modeling language) – Algorithmic constraints

This example describes that area_unit entity must have square value of length. For this the attribute dimensions.length_exponent must be equal to 2 and all other exponents of basic SI units must be 0.

EXPRESS (data modeling language) – Algorithmic constraints

That is, it means that week value cannot exceed 7.

EXPRESS (data modeling language) – Algorithmic constraints

And so, you can describe some rules to your entities. More details on the given examples can be found in ISO 10303-41

Compressed air energy storage – Practical constraints in transportation

In order to use air storage in vehicles or aircraft for practical land or air transportation, the energy storage system must be compact and lightweight. Energy density is the engineering term that defines these desired qualities.

Brain implant

(Brain-computer interface research also includes technology such as EEG arrays that allow interface between mind and machine but do not require direct implantation of a device.)

Brain implant

Neural-implants such as deep brain stimulation and Vagus nerve stimulation are increasingly becoming routine for patients with Parkinson’s disease and clinical depression respectively, proving themselves as a boon for people with diseases which were previously regarded as incurable.

Brain implant – Purpose

Because of the complexity of neural processing and the lack of access to action potential related signals using neuroimaging techniques, the application of brain implants has been seriously limited until recent advances in neurophysiology and computer processing power.

Brain implant – Research

Research in sensory substitution has made progress in recent years. Especially in vision, due to the knowledge of the working of the visual system, eye implants (often involving some brain implants or monitoring) have been applied with demonstrated success. For hearing, cochlear implants are used to stimulate the auditory nerve directly. The vestibulocochlear nerve is part of the peripheral nervous system, but the interface is similar to that of true brain implants.

Brain implant – Research

Multiple projects have demonstrated success at recording from the brains of animals for long periods of time. As early as 1976, researchers at the NIH led by Edward Schmidt made action potential recordings of signals from Rhesus monkey motor cortexes using immovable “hatpin” electrodes, including recording from single neurons for over 30 days, and consistent recordings for greater than three years from the best electrodes.

Brain implant – Research

The “hatpin” electrodes were made of pure iridium and insulated with Parylene-c, materials that are currently used in the Cyberkinetics implementation of the Utah array. These same electrodes, or derivations thereof using the same biocompatible electrode materials, are currently used in visual prosthetics laboratories, laboratories studying the neural basis of learning, and motor prosthetics approaches other than the Cyberkinetics probes.

Brain implant – Research

A competing series of electrodes and projects is sold by Plexon including Plextrode Series of Electrodes. These are variously the “Michigan Probes”, the microwire arrays first used at MIT, and the FMAs from MicroProbe that emerged from the visual prosthetic project collaboration between Phil Troyk, David Bradley, and Martin Bak.

Brain implant – Research

Other laboratory groups produce their own implants to provide unique capabilities not available from the commercial products.

Brain implant – Research

Breakthroughs include studies of the process of functional brain re-wiring throughout the learning of a sensory discrimination, control of physical devices by rat brains, monkeys over robotic arms, remote control of mechanical devices by monkeys and humans, remote control over the movements of roaches, electronic-based neuron transistors for leeches, the first reported use of the Utah Array in a human for bidirectional signalling

Brain implant – Research

Much research is also being done on the surface chemistry of neural implants in effort to design products which minimize all negative effects that an active implant can have on the brain, and that the body can have on the function of the implant.

Brain implant – Research

Another type of neural implant that is being experimented on is Prosthetic Neuronal Memory Silicon Chips, which imitate the signal processing done by functioning neurons that allows peoples’ brains to create long-term memories.

Brain implant – Rehabilitation

Brain pacemakers have been in use since 1997 to ease the symptoms of such diseases as epilepsy, Parkinson’s Disease, dystonia and recently depression.

Brain implant – Rehabilitation

Current brain implants are made from a variety of materials such as tungsten, silicon, platinum-iridium, or even stainless steel. Future brain implants may make use of more exotic materials such as nanoscale carbon fibers (nanotubes), and polycarbonate urethane.

Brain implant – Historical research on brain implants

In 1870, Eduard Hitzig and Gustav Fritsch demonstrated that electrical stimulation of the brains of dogs could produce movements. Robert Bartholow showed the same to be true for humans in 1874. By the start of the 20th century, Fedor Krause began to systematically map human brain areas, using patients that had undergone brain surgery.

Brain implant – Historical research on brain implants

Prominent research was conducted in the 1950s. Robert G. Heath experimented with aggressive mental patients, aiming to influence his subjects’ moods through electrical stimulation.

Brain implant – Historical research on brain implants

Yale University physiologist Jose Delgado demonstrated limited control of animal and human subjects’ behaviours using electronic stimulation. He invented the stimoceiver or transdermal stimulator, a device implanted in the brain to transmit electrical impulses that modify basic behaviours such as aggression or sensations of pleasure.

Brain implant – Historical research on brain implants

Delgado was later to write a popular book on mind control, called Physical Control of the Mind, where he stated: “the feasibility of remote control of activities in several species of animals has been demonstrated […] The ultimate objective of this research is to provide an understanding of the mechanisms involved in the directional control of animals and to provide practical systems suitable for human application.”

Brain implant – Historical research on brain implants

He stated that his research was only progressively scientifically-motivated to understand how the brain works.

Brain implant – Ethical considerations

Who are good candidates to receive neural implants? What are the good uses of neural implants and what are the bad uses? Whilst deep brain stimulation is increasingly becoming routine for patients with Parkinson’s disease, there may be some behavioural side effects

Brain implant – Ethical considerations

Some transhumanists, such as Raymond Kurzweil and Kevin Warwick, see brain implants as part of a next step for humans in progress and evolution, whereas others, especially bioconservatives, view them as unnatural, with humankind losing essential human qualities

Brain implant – Brain implants in fiction and philosophy

Brain implants are now part of modern culture but there were early philosophical references of relevance as far back as René Descartes.

Brain implant – Brain implants in fiction and philosophy

In his 1638 Discourse on the Method, a study on proving self existence, Descartes wrote that a person would not know if an evil demon had trapped his mind in a black box and was controlling all inputs and outputs. Philosopher Hilary Putnam provided a modern parallel of Descartes argument in his 1989 discussion of a brain in a vat, where he argues that brains which were directly fed with an input from a computer would not know the deception from reality.

Brain implant – Brain implants in fiction and philosophy

Popular science fiction discussing brain implants and mind control became widespread in the 20th century, often with a dystopian outlook. Literature in the 1970s delved into the topic, including The Terminal Man by Michael Crichton, where a man suffering from brain damage receives an experimental surgical brain implant designed to prevent seizures, which he abuses by triggering for pleasure.

Brain implant – Brain implants in fiction and philosophy

Fear that the technology will be misused by the government and military is an early theme. In the 1981 BBC serial The Nightmare Man the pilot of a high-tech mini submarine is linked to his craft via a brain implant but becomes a savage killer after ripping out the implant.

Brain implant – Brain implants in fiction and philosophy

He also explores possible entertainment applications of brain implants such as the “simstim” (simulated stimulation) which is a device used to record and playback experiences.

Brain implant – Brain implants in fiction and philosophy

Gibson’s work led to an explosion in popular culture references to brain implants. Its influences are felt, for example, in the 1989 roleplaying game Shadowrun, which borrowed his term “datajack” to describe a brain-computer interface. The implants in Gibson’s novels and short stories formed the template for the 1995 film Johnny Mnemonic and later, The Matrix Trilogy.

Brain implant – Brain implants in fiction and philosophy

The Gap Cycle (The Gap into): In Stephen R. Donaldson’s series of novels, the use (and misuse) of “zone implant” technology is key to several plotlines.

Brain implant – Brain implants in fiction and philosophy

Pulp fiction with implants or brain implants include the novel series Typers, film Spider-Man 2, the TV series Earth: Final Conflict, and numerous computer/Video Games.

Brain implant – Brain implants in fiction and philosophy

Ghost in the Shell anime and manga franchise: Cyberbrain neural augmentation technology is the focus. Implants of powerful computers provide vastly increased memory capacity, total recall, as well as the ability to view his or her own memories on an external viewing device. Users can also initiate a telepathic conversation with other cyberbrain users, the downsides being cyberbrain hacking, malicious memory alteration, and the deliberate distortion of subjective reality and experience.

Brain implant – Brain implants in fiction and philosophy

In the Video Games PlanetSide and Chrome, players can use implants to improve their aim, run faster, and see better, along with other enhancements.

Brain implant – Brain implants in fiction and philosophy

Examples are of a helicopter pilot with implanted chips to better pilot her aircraft and analyse flight paths, velocity and spatial awareness, as well as a hacker with a brain-computer interface that allows direct access to computer networks and also to act as a ‘human proxy’ to allow an individual in a remote location to control his actions

Brain implant – Film

Brainstorm (1983): The military tries to take control over a new technology that can record and transfer thoughts, feelings, and sensations.

Brain implant – Film

Johnny Mnemonic (1995): The main character acts as a “mnemonic courier” by way of a storage implant in his brain, allowing him to carry sensitive information undetected between parties.

Brain implant – Film

The Manchurian Candidate (2004): For a means of mind control, the presidential hopeful Raymond Shaw unknowingly has a chip implanted in his head by Manchurian Global, a fictional geopolitical organization aimed at making parts of the government sleeper cells, or puppets for their monetary advancement.

Brain implant – Film

The extreme box office success of the Matrix films, combined with earlier science fiction references, have made brain implants ubiquitous in popular literature.

Brain implant – Television

Blake’s 7: Oleg Gan, a character, has a brain implant which is supposed to prevent future aggression after being convicted of killing an officer from the oppressive Federation.

Brain implant – Television

Dark Angel: The notorious Red Series use neuro-implants pushed into their brain stem at the base of their skull to amp them up and hyper-adrenalize them and make them almost unstoppable. Unfortunately the effects of the implant burn out their system between six months to a year and kill them.

Brain implant – Television

The X-Files (episode:Duane Barry, relevant to the overreaching mytharc of the series.): FBI Agent Dana Scully discovers an implant set under the skin at the back of her neck which can read her every thought and change memory through electrical signals that alter the brain chemistry.

Brain implant – Television

Star Trek franchise: Members of the Borg collective are equipped with brain implants which connect them to the Borg collective consciousness.

Brain implant – Television

Fringe: The Observers use a needle like, self-guided implant which allows them to read the minds of others at the expense of emotion. The implant also allows for short range teleportation and increases intelligence.

Brain implant – Further reading

Berger, Theodore W.; Glanzman, Dennis L., eds. (2005). Toward replacement parts for the brain: implantable biomimetic electronics as neural prostheses. Cambridge, Mass: MIT Press. ISBN 0-262-02577-9.

Brain implant – Further reading

Gross, Dominik (2009), Blessing or Curse? Nonpharmacological Neurocognitive Enhancement by “Brain Engineering”, Medicine Studies. International Journal for the History, Philosophy and Ethics of Medicine & Allied Sciences 1/4, pp. 379–391

Brain implant – Further reading

Laryionava, Katsiaryna; Gross, Dominik (2011), Public Understanding of Neural Prosthetics in Germany: Ethical, Social and Cultural Challenges, Cambridge Quarterly of Healthcare Ethics International issue, 20/3, pp. 434–439

Speech recognition – Training air traffic controllers

Speech recognition and synthesis techniques offer the potential to eliminate the need for a person to act as pseudo-pilot, thus reducing training and support personnel

Speech recognition – Training air traffic controllers

The USAF, USMC, US Army, US Navy, and FAA as well as a number of international ATC training organizations such as the Royal Australian Air Force and Civil Aviation Authorities in Italy, Brazil, and Canada are currently using ATC simulators with speech recognition from a number of different vendors.

Data center services – Technical training services

Within the umbrella of data center services, technical training services can provide skills relevant to any of the hardware, software or processes related to managing a data center, or fixing, updating, integrating or managing any of the equipment within a data center.

Constraint logic programming

In this clause, X+Y>0 is a constraint; A(X,Y), B(X), and C(Y) are literals as in regular logic programming

Constraint logic programming

In practice, satisfiability of the constraint store may be checked using an incomplete algorithm, which does not always detect inconsistency.

Constraint logic programming – Overview

Formally, constraint logic programs are like regular logic programs, but the body of clauses can contain constraints, in addition to the regular logic programming literals. As an example, X>0 is a constraint, and is included in the last clause of the following constraint logic program.

Constraint logic programming – Overview

Like in regular logic programming, evaluating a goal such as A(X,1) requires evaluating the body of the last clause with Y=1. Like in regular logic programming, this in turn requires proving the goal B(X,1). Contrary to regular logic programming, this also requires a constraint to be satisfied: X>0, the constraint in the body of the last clause.

Constraint logic programming – Overview

Rather than proceeding in the evaluation of B(X,1) and then checking whether the resulting value of X is positive afterwards, the interpreter stores the constraint X>0 and then proceeds in the evaluation of B(X,1); this way, the interpreter can detect violation of the constraint X>0 during the evaluation of B(X,1), and backtrack immediately if this is the case, rather than waiting for the evaluation of B(X,1) to conclude.

Constraint logic programming – Overview

Since the constraint store is satisfiable and no other literal is left to prove, the interpreter stops with the solution X=1, Y=1.

Constraint logic programming – Semantics

The semantics of constraint logic programs can be defined in terms of a virtual interpreter that maintains a pair during execution. The first element of this pair is called current goal; the second element is called constraint store. The current goal contains the literals the interpreter is trying to prove and may also contain some constraints it is trying to satisfy; the constraint store contains all constraints the interpreter has assumed satisfiable so far.

Constraint logic programming – Semantics

A successful termination is generated when the current goal is empty and the constraint store is satisfiable.

Constraint logic programming – Semantics

If it is a constraint, it is added to the constraint store

Constraint logic programming – Semantics

These methods can sometimes but not always prove unsatisfiability of an unsatisfiable constraint store.

Constraint logic programming – Semantics

The interpreter has proved the goal when the current goal is empty and the constraint store is not detected unsatisfiable. The result of execution is the current set of (simplified) constraints. This set may include constraints such as that force variables to a specific value, but may also include constraints like that only bound variables without giving them a specific value.

Constraint logic programming – Semantics

Formally, the semantics of constraint logic programming is defined in terms of derivations. A transition is a pair of pairs goal/store, noted . Such a pair states the possibility of going from state to state . Such a transition is possible in three possible cases:

Constraint logic programming – Semantics

an element of is a literal , there exists a clause that, rewritten using new variables, is , is with replaced by , and ; in other words, a literal can be replaced by the body of a fresh variant of a clause having the same predicate in the head, adding the body of the fresh variant and the above equalities of terms to the goal

Constraint logic programming – Semantics

and are equivalent according to the specific constraint semantics

Constraint logic programming – Semantics

A goal can be proved if there exists a derivation from to for some satisfiable constraint store

Constraint logic programming – Semantics

Actual interpreters process the goal elements in a LIFO order: elements are added in the front and processed from the front. They also choose the clause of the second rule according to the order in which they are written, and rewrite the constraint store when it is modified.

Constraint logic programming – Semantics

If the constraint store is unsatisfiable, this simplification may detect this unsatisfiability sometimes, but not always.

Constraint logic programming – Semantics

The result of evaluating a goal against a constraint logic program is defined if the goal is proved. In this case, there exists a derivation from the initial pair to a pair where the goal is empty. The constraint store of this second pair is considered the result of the evaluation. This is because the constraint store contains all constraints assumed satisfiable to prove the goal. In other words, the goal is proved for all variable evaluations that satisfy these constraints.

Constraint logic programming – Semantics

The pairwise equality of terms of two literals is often compactly denoted by : this is a shorthand for the constraints . A common variant of the semantics for constraint logic programming adds directly to the constraint store rather than to the goal.

Constraint logic programming – Terms and constraints

Different definitions of terms are used, generating different kinds of constraint logic programming: over trees, reals, or finite domains. A kind of constraint that is always present is the equality of terms. Such constraints are necessary because the interpreter adds t1=t2 to the goal whenever a literal P(…t1…) is replaced with the body of a clause fresh variant whose head is P(…t2…).

Constraint logic programming – Tree terms

Constraint logic programming with tree terms emulates regular logic programming by storing substitutions as constraints in the constraint store. Terms are variables, constants, and function symbols applied to other terms. The only considered constraints are equalities and disequalities between terms. Equality is particularly important, as constraints link t1=t2 are often generated by the interpreter. Equality constraints on terms can be simplified, that is solved, via unification:

Constraint logic programming – Tree terms

A constraint t1=t2 can be simplified if both terms are function symbols applied to other terms. If the two function symbols are the same and the number of subterms is also the same, this constraint can be replaced with the pairwise equality of subterms. If the terms are composed of different function symbols or the same functor but on different number of terms, the constraint is unsatisfiable.

Constraint logic programming – Tree terms

If one of the two terms is a variable, the only allowed value the variable can take is the other term. As a result, the other term can replace the variable in the current goal and constraint store, thus practically removing the variable from consideration. In the particular case of equality of a variable with itself, the constraint can be removed as always satisfied.

Constraint logic programming – Tree terms

In this form of constraint satisfaction, variable values are terms.

Constraint logic programming – Reals

Constraint logic programming with real numbers uses real expressions as terms. When no function symbols are used, terms are expressions over reals, possibly including variables. In this case, each variable can only take a real number as a value.

Constraint logic programming – Reals

As an example, if the first literal of the current goal is A(X+1) and the interpreter has chosen a clause that is A(Y-1):-Y=1 after rewriting is variables, the constraints added to the current goal are X+1=Y-1 and

Constraint logic programming – Reals

Reals and function symbols can be combined, leading to terms that are expressions over reals and function symbols applied to other terms

Constraint logic programming – Reals

Equality of two terms can be simplified using the rules for tree terms if none of the two terms is a real expression. For example, if the two terms have the same function symbol and number of subterms, their equality constraint can be replaced with the equality of subterms.

Constraint logic programming – Finite domains

The third class of constraints used in constraint logic programming is that of finite domains

Constraint logic programming – Finite domains

If the domain of a variable becomes empty, the constraint store is inconsistent, and the algorithm backtracks

Constraint logic programming – Finite domains

As for domains of reals, functors can be used with domains of integers. In this case, a term can be an expression over integers, a constant, or the application of a functor over other terms. A variable can take an arbitrary term as a value, if its domain has not been specified to be a set of integers or constants.

Constraint logic programming – The constraint store

The constraint store contains the constraints that are currently assumed satisfiable. It can be considered what the current substitution is for regular logic programming. When only tree terms are allowed, the constraint store contains constraints in the form t1=t2; these constraints are simplified by unification, resulting in constraints of the form variable=term; such constraints are equivalent to a substitution.

Constraint logic programming – The constraint store

While the result of a successful evaluation of a regular logic program is the final substitution, the result for a constraint logic program is the final constraint store, which may contain constraint of the form variable=value but in general may contain arbitrary constraints.

Constraint logic programming – The constraint store

The constraint store is unsatisfiable if a variable is bound to take both a value of the specific domain and a functor applied to terms.

Constraint logic programming – The constraint store

After a constraint is added to the constraint store, some operations are performed on the constraint store. Which operations are performed depends on the considered domain and constraints. For example unification is used for finite tree equalities, variable elimination for polynomial equations over reals, constraint propagation to enforce a form of local consistency for finite domains. These operations are aimed at making the constraint store simpler to be checked for satisfiability and solved.

Constraint logic programming – The constraint store

This second method is called semantic backtracking, because the semantics of the change is saved rather than the old version of the constraints only.

Constraint logic programming – Labeling

Whenever the interpreter evaluates such a literal, it performs a search over the domains of the variables of the list to find an assignment that satisfies all relevant constraints

Constraint logic programming – Labeling

As a result, using all variables mentioned in the constraint store results in checking satisfiability of the store.

Constraint logic programming – Labeling

Without the labeling literal, variables are assigned values only when the constraint store contains a constraint of the form X=value and when local consistency reduces the domain of a variable to a single value

Constraint logic programming – Labeling

Typically, constraint logic programs are written in such a way labeling literals are evaluated only after as many constraints as possible have been accumulated in the constraint store. This is because labeling literals enforce search, and search is more efficient if there are more constraints to be satisfied. A constraint satisfaction problem is typical solved by a constraint logic program having the following structure:

Constraint logic programming – Labeling

Since the constraint store contains exactly the constraints of the original constraint satisfaction problem, this operation searches for a solution of the original problem.

Constraint logic programming – Program reformulations

As a result, search only returns solutions that are consistent with it, taking advantage of the fact that additional constraints reduce the search space.

Constraint logic programming – Program reformulations

Since the constraint store after the addition of X>0 turns out to be inconsistent, the recursive evaluation of B(X) is not performed at all.

Constraint logic programming – Program reformulations

On the other hand, if the above clause is replaced by A(X,Y):-X>0,A(X),B(X), the interpreter backtracks as soon as the constraint X>0 is added to the constraint store, which happens before the evaluation of B(X) even starts.

Constraint logic programming – Constraint handling rules

In a constraint logic programming language supporting constraint handling rules, a programmer can use these rules to specify possible rewritings of the constraint store and possible additions of constraints to it

Constraint logic programming – Constraint handling rules

The first rule tells that, if B(X) is entailed by the store, the constraint A(X) can be rewritten as C(X). As an example, N*X>0 can be rewritten as X>0 if the store implies that N>0. The symbol <=> resembles equivalence in logic, and tells that the first constraint is equivalent to the latter. In practice, this implies that the first constraint can be replaced with the latter.

Constraint logic programming – Constraint handling rules

The second rule instead specifies that the latter constraint is a consequence of the first, if the constraint in the middle is entailed by the constraint store. As a result, if A(X) is in the constraint store and B(X) is entailed by the constraint store, then C(X) can be added to the store. Differently from the case of equivalence, this is an addition and not a replacement: the new constraint is added but the old one remains.

Constraint logic programming – Constraint handling rules

Equivalence allows for simplifying the constraint store by replacing some constraints with simpler ones; in particular, if the third constraint in an equivalence rule is true, and the second constraint is entailed, the first constraint is removed from the constraint store. Inference allows for the addition of new constraints, which may lead to proving inconsistency of the constraint store, and may generally reduce the amount of search needed to establish its satisfiability.

Constraint logic programming – Constraint handling rules

In this example, the choice of value for a variable is implemented using clauses of logic programming; however, it can be encoded in constraint handling rules using an extension called disjunctive constraint handling rules or CHR?.

Constraint logic programming – Bottom-up evaluation

The standard strategy of evaluation of logic programs is top-down and depth-first: from the goal, a number of clauses are identified as being possibly able to prove the goal, and recursion over the literals of their bodies is performed

Constraint logic programming – Bottom-up evaluation

The bottom-up evaluation strategy maintains the set of facts proved so far during evaluation. This set is initially empty. With each step, new facts are derived by applying a program clause to the existing facts, and are added to the set. For example, the bottom up evaluation of the following program requires two steps:

Constraint logic programming – Bottom-up evaluation

The set of consequences is initially empty. At the first step, A(q) is the only clause whose body can be proved (because it is empty), and A(q) is therefore added to the current set of consequences. At the second step, since A(q) is proved, the second clause can be used and B(q) is added to the consequences. Since no other consequence can be proved from {A(q),B(q)}, execution terminates.

Constraint logic programming – Bottom-up evaluation

The advantage of the bottom-up evaluation over the top-down one is that cycles of derivations do not produce an infinite loop. This is because adding a consequence to the current set of consequences that already contains it has no effect. As an example, adding a third clause to the above program generates a cycle of derivations in the top-down evaluation:

Constraint logic programming – Bottom-up evaluation

For example, while evaluating all answers to the goal A(X), the top-down strategy would produce the following derivations:

Constraint logic programming – Bottom-up evaluation

In other words, the only consequence A(q) is produced first, but then the algorithm cycles over derivations that do not produce any other answer. More generally, the top-down evaluation strategy may cycle over possible derivations, possibly when other ones exist.

Constraint logic programming – Bottom-up evaluation

The bottom-up strategy does not have the same drawback, as consequences that were already derived has no effect. On the above program, the bottom-up strategy starts adding A(q) to the set of consequences; in the second step, B(X):-A(X) is used to derive B(q); in the third step, the only facts that can be derived from the current consequences are A(q) and B(q), which are however already in the set of consequences. As a result, the algorithm stops.

Constraint logic programming – Bottom-up evaluation

In general, every clause that only contains constraints in the body is considered a fact

Constraint logic programming – Bottom-up evaluation

As described, the bottom-up approach has the advantage of not considering consequences that have already been derived. However, it still may derive consequences that are entailed by those already derived while not being equal to any of them. As an example, the bottom up evaluation of the following program is infinite:

Constraint logic programming – Bottom-up evaluation

The bottom-up evaluation algorithm first derives that A(X) is true for X=0 and X>0

Constraint logic programming – Concurrent constraint logic programming

Concurrent constraint logic programming

Constraint logic programming – Concurrent constraint logic programming

The concurrent versions of constraint logic programming are aimed at programming concurrent processes rather than solving constraint satisfaction problems. Goals in constraint logic programming are evaluated concurrently; a concurrent process is therefore programmed as the evaluation of a goal by the interpreter.

Constraint logic programming – Concurrent constraint logic programming

Most notably, this difference affects how the interpreter behaves when more than one clause is applicable: non-concurrent constraint logic programming recursively tries all clauses; concurrent constraint logic programming chooses only one

Constraint logic programming – Applications

Constraint logic programming has been applied to a number of fields, such as civil engineering, mechanical engineering, digital circuit verification, automated timetabling, air traffic control, finance, and others.

Constraint logic programming – History

Constraint logic programming was introduced by Jaffar and Lassez in 1987. They generalized the observation that the term equations and disequations of Prolog II were a specific form of constraints, and generalized this idea to arbitrary constraint languages. The first implementations of this concept were Prolog III, CLP(R), and CHIP.

Language – The brain and language

The brain is the coordinating center of all linguistic activity; it controls both the production of linguistic cognition and of meaning and the mechanics of speech production. Nonetheless, our knowledge of the neurological bases for language is quite limited, though it has advanced considerably with the use of modern imaging techniques. The discipline of linguistics dedicated to studying the neurological aspects of language is called neurolinguistics.

Language – The brain and language

People with a lesion in this area of the brain develop receptive aphasia, a condition in which there is a major impairment of language comprehension, while speech retains a natural-sounding rhythm and a relatively normal sentence structure

Language – The brain and language

With technological advances in the late 20th century, neurolinguists have also adopted non-invasive techniques such as functional magnetic resonance imaging (fMRI) and electrophysiology to study language processing in individuals without impairments.

Holography – Rainbow holograms

The rainbow holography recording process uses a horizontal slit to eliminate vertical parallax in the output image

Holography – Rainbow holograms

The holograms found on credit cards are examples of rainbow holograms. These are technically transmission holograms mounted onto a reflective surface like a metalized polyethylene terephthalate substrate commonly known as PET.

Brain transplant

A brain transplant or whole-body transplant is a procedure in which the brain of one organism is transplanted into the body of another. It is a procedure distinct from head transplantation, which involves transferring the entire head to a new body, as opposed to the brain only. Theoretically, a person with advanced organ failure could be given a new and functional body while keeping their own personality and memories.

Brain transplant

Brain transplants and similar concepts have been explored in various forms of fiction.

Brain transplant – Existing challenges

One of the most significant barriers to the procedure is the inability of nerve tissue to heal properly; scarred nerve tissue does not transmit signals well (this is why a spinal cord injury is so devastating). However, recent research at the Wistar Institute of the University of Pennsylvania involving tissue-regenerating mice (known as MRL mice) may provide pointers for further research as to how to regenerate nerves without scarring.

Brain transplant – Existing challenges

Alternatively a brain–computer interface can be used connecting the subject to their own body. A study using a monkey as a subject shows that it is possible to directly use commands from the brain, bypass the spinal cord and enable hand function. An advantage is that this interface can be adjusted after the surgical interventions are done where nerves can not be reconnected without surgery.

Brain transplant – Existing challenges

Also, for the procedure to be practical, the age of the donated body must be sufficient: an adult brain cannot fit into a skull that has not reached its full growth, which occurs at age 9–12 years.

Brain transplant – Existing challenges

There is an advantage, however, with respect to the immune response. The brain is an immunologically privileged organ, so rejection would not be a problem. (When other organs are transplanted, aggressive rejection can occur; this is a major difficulty with kidney and liver transplants.)

Brain transplant – Partial brain transplant

In 1982 Dr. Dorothy T. Krieger, chief of endocrinology at Mount Sinai Medical Center in New York City, achieved success with a partial brain transplant in mice.

Brain transplant – Partial brain transplant

In 1998, a team of surgeons from the University of Pittsburgh Medical Center attempted to transplant a group of brain cells to Alma Cerasini, who had suffered a severe stroke that caused the loss of mobility in her right limbs as well as limited speech. The team’s hope was that the cells would correct the listed damage.

Brain transplant – Similar concepts

The whole-body transplant is just one of several means of putting a consciousness into a new body that have been explored by both scientists and writers.

Brain transplant – Similar concepts

Since there is no movement of the brain(s), however, this is not quite the same as a whole-body transplant.

Brain transplant – Similar concepts

In the horror film The Skeleton Key, the protagonist, Caroline, discovers that the old couple she is looking after are poor Voodoo witch doctors who stole the bodies of two young, privileged children in their care using a ritual which allows a soul to swap bodies. Unfortunately the evil old couple also trick Caroline and their lawyer into the same procedure, and both end up stuck in old dying bodies unable to speak while the witch doctors walk off with their young bodies.

Brain transplant – Similar concepts

In Anne Rice’s The Tale of the Body Thief, the vampire Lestat discovers a man, Raglan James, who can will himself into another person’s body. Lestat demands that the procedure be used on him to allow him to be human once again, but soon finds that he has made an error and is forced to recapture James in his vampiric form so he can take his body back.

Brain transplant – Similar concepts

In the Star Wars Expanded Universe, Emperor Palpatine is able to transfer his consciousness into clone bodies. In a sense, this allows him to return to life after the Battle of Endor, as well as other events where his current body dies. The clone bodies aren’t quite as good as his original body and waste quickly due to the decaying power of the Dark Side of the Force. Upon realizing this, he tries to take over the body of Anakin Solo, but is unsuccessful and eventually meets his final end.

Brain transplant – Similar concepts

While the ultimate goal of transplanting is transfer of the brain to a new body optimized for it by genetics, proteomics, and/or other medical procedures, in uploading the brain itself moves nowhere and may even be physically destroyed or discarded; the goal is rather to duplicate the information patterns contained within the brain.

Brain transplant – Similar concepts

In one episode of Star Trek, Spock’s Brain is stolen and installed in a large computer-like structure; and in “I, Mudd” Uhura is offered immortality in an android body

Educational technology – Teacher Training

This has become a significant barrier to effective training because the traditional methods of teaching have clashed with what is now expected in the present workplace

Educational technology – Teacher Training

The ways in which teachers are taught to use technology is also outdated because the primary focus of training is on computer literacy, rather than the deeper, more essential understanding and mastery of technology for information processing, communication, and problem solving

Educational technology – Teacher Training

Teacher training faces another drawback when it comes to one’s mindset on the integration of technology into the curriculum

Constraint programming

Constraints are usually embedded within a programming language or provided via separate software libraries.

Constraint programming

Constraint programming can be expressed in the form of constraint logic programming, which embeds constraints into a logic program. This variant of logic programming is due to Jaffar and Lassez, who extended in 1987 a specific class of constraints that were introduced in Prolog II. The first implementations of constraint logic programming were Prolog III, CLP(R), and CHIP.

Constraint programming

Instead of logic programming, constraints can be mixed with functional programming, term rewriting, and imperative languages. Programming languages with built-in support for constraints include Oz (functional programming) and Kaleidoscope (imperative programming). Mostly, constraints are implemented in imperative languages via constraint solving toolkits, which are separate libraries for an existing imperative language.

Constraint programming – Constraint logic programming

Constraint programming is an embedding of constraints in a host language. The first host languages used were logic programming languages, so the field was initially called constraint logic programming. The two paradigms share many important features, like logical variables and backtracking. Today most Prolog implementations include one or more libraries for constraint logic programming.

Constraint programming – Constraint logic programming

The difference between the two is largely in their styles and approaches to modeling the world. Some problems are more natural (and thus, simpler) to write as logic programs, while some are more natural to write as constraint programs.

Constraint programming – Constraint logic programming

The constraint programming approach is to search for a state of the world in which a large number of constraints are satisfied at the same time. A problem is typically stated as a state of the world containing a number of unknown variables. The constraint program searches for values for all the variables.

Constraint programming – Constraint logic programming

Temporal concurrent constraint programming (TCC) and non-deterministic temporal concurrent constraint programming (NTCC) are variants of constraint programming that can deal with time. Recently NTCC has proved to be a useful framework for describing and modelling biological systems .

Constraint programming – Domains

The constraints used in constraint programming are typically over some specific domains. Some popular domains for constraint programming are:

Constraint programming – Domains

boolean domains, where only true/false constraints apply (SAT problem)

Constraint programming – Domains

linear domains, where only linear functions are described and analyzed (although approaches to non-linear problems do exist)

Constraint programming – Domains

Finite domains is one of the most successful domains of constraint programming. In some areas (like operations research) constraint programming is often identified with constraint programming over finite domains.

Constraint programming – Domains

All of the above examples are commonly solved by satisfiability modulo theories (SMT) solvers.

Constraint programming – Domains

Finite domain solvers are useful for solving constraint satisfaction problems, and are often based on arc consistency or one of its approximations.

Constraint programming – Domains

The syntax for expressing constraints over finite domains depends on the host language. The following is a Prolog program that solves the classical alphametic puzzle SEND+MORE=MONEY in constraint logic programming:

Constraint programming – Domains

% This code works in both YAP and SWI-Prolog using the environment-supplied

Constraint programming – Domains

% CLPFD constraint solver library. It may require minor modifications to work

Constraint programming – Domains

% in other Prolog environments or using other constraint solvers.

Constraint programming – Domains

:- use_module(library(clpfd)).

Constraint programming – Domains

S #\= 0, % Constraint: S must be different from 0

Constraint programming – Domains

Constraint propagation may solve the problem by reducing all domains to a single value, it may prove that the problem has no solution by reducing a domain to the empty set, but may also terminate without proving satisfiability or unsatisfiability

Constraint programming – Logic programming based constraint logic languages

CHIP V5 (Prolog-based, also includes C++ and C libraries, proprietary)

Constraint programming – Logic programming based constraint logic languages

ECLiPSe (Prolog-based, open source)

Constraint programming – Logic programming based constraint logic languages

SICStus (Prolog-based, proprietary)

Constraint programming – Constraint programming libraries for imperative programming languages

Constraint programming is often realized in imperative programming via a separate library. Some popular libraries for constraint programming are:

Constraint programming – Constraint programming libraries for imperative programming languages

Artelys Kalis (C++ library, Xpress-Mosel module, proprietary)

Constraint programming – Constraint programming libraries for imperative programming languages

Comet (C style language for constraint programming, constraint-based local search and mathematical programming, free binaries available for academic use)

Constraint programming – Constraint programming libraries for imperative programming languages

IBM ILOG CP (C++ library, proprietary) and CP Optimizer (C++, Java, .NET libraries, proprietary) successor of ILOG Solver, which was considered the market leader in commercial constraint programming software as of 2006

Constraint programming – Constraint programming libraries for imperative programming languages

JaCoP (Java library, open source) available here

Constraint programming – Constraint programming libraries for imperative programming languages

Turtle++ (C++ library – inspired by the Turtle Language, free software)

Constraint programming – Some languages that support constraint programming

AIMMS, an algebraic modeling language with support for constraint programming.

Constraint programming – Some languages that support constraint programming

Alma-0 a small, strongly typed, constraint language with a limited number of features inspired by logic programming, supporting imperative programming.

Constraint programming – Some languages that support constraint programming

AMPL, an algebraic modeling language with support for constraint programming.

Constraint programming – Some languages that support constraint programming

Bertrand a language for building constraint programming systems.

Constraint programming – Some languages that support constraint programming

Common Lisp via Screamer (a free software library which provides backtracking and CLP(R), CHiP features).

Constraint programming – Some languages that support constraint programming

Kaleidoscope, an object-oriented imperative constraint programming language.

Constraint programming – Some languages that support constraint programming

Curry (Haskell based, with free implementations)

Constraint programming – Some languages that support constraint programming

SystemVerilog Computer hardware simulation language has built in constraint solver.

Ground effect train

Ground effect train

Ground effect train

A ground effect train is an alternative to a magnetic levitation (maglev) train. In both cases the object is to prevent the vehicle from making contact with the ground. Whereas a maglev train accomplishes this through the use of magnetism, a ground effect train uses an air cushion; either in the manner of a hovercraft (as in hovertrains) or using the “wing-in-ground” design.

Ground effect train

Whereas the magnetic levitation train can be built to operate in a vacuum to minimise air resistance, the ground effect train must operate in an atmosphere in order for the air cushion to exist.

Clinical psychology – Training and certification to practice

Clinical psychologists study a generalist program in psychology plus postgraduate training and/or clinical placement and supervision. The length of training differs across the world, ranging from four years plus post-Bachelors supervised practice to a doctorate of three to six years which combines clinical placement.

Clinical psychology – Training and certification to practice

About half of all clinical psychology graduate students are being trained in Ph.D

Clinical psychology – Training and certification to practice

It is not unusual for applicants to apply several times before being accepted onto a training course as only about one-fifth of applicants are accepted each year

Clinical psychology – Training and certification to practice

The practice of clinical psychology requires a license in the United States, Canada, the United Kingdom, and many other countries. Although each of the US states is somewhat different in terms of requirements and licenses, there are three common elements:

Clinical psychology – Training and certification to practice

Graduation from an accredited school with the appropriate degree

Clinical psychology – Training and certification to practice

Completion of supervised clinical experience or internship

Clinical psychology – Training and certification to practice

All US state and Canadian province licensing boards are members of the Association of State and Provincial Psychology Boards (ASPPB) which created and maintains the Examination for Professional Practice in Psychology (EPPP)

Clinical psychology – Training and certification to practice

In the UK, registration as a clinical psychologist with the Health Professions Council (HPC) is necessary. The HPC is the statutory regulator for practitioner psychologists in the UK. In the UK the following titles are restricted by law: “registered psychologist” and “practitioner psychologist”; in addition, the specialist title “clinical psychologist” is also restricted by law.

Age of Enlightenment – Ukraine

In Ukrainian philosophy stands early stage of the Enlightenment, which occurs in the era of the emergence of capitalism (the first quarter of 18th-century)

Maglev – Comparison with conventional trains

Speeds Maglev allows higher top speeds than conventional rail, but at least experimentally, wheel-based high-speed trains have been able to demonstrate similar speeds.

Maglev – Comparison with conventional trains

Maintenance Requirements Of Electronic Versus Mechanical Systems: Maglev trains currently in operation have demonstrated the need for nearly insignificant guideway maintenance

Maglev – Comparison with conventional trains

All-Weather Operations: While maglev trains currently in operation are not stopped, slowed, or have their schedules affected by snow, ice, severe cold, rain or high winds, they have not been operated in the wide range of conditions that traditional friction-based rail systems have operated. Maglev vehicles accelerate and decelerate faster than mechanical systems regardless of the slickness of the guideway or the slope of the grade because they are non-contact systems.

Maglev – Comparison with conventional trains

By contrast conventional high speed trains such as the TGV are able to run at reduced speeds on existing rail infrastructure, thus reducing expenditure where new infrastructure would be particularly expensive (such as the final approaches to city terminals), or on extensions where traffic does not justify new infrastructure

Maglev – Comparison with conventional trains

Efficiency: Due to the lack of physical contact between the track and the vehicle, maglev trains experience no rolling resistance, leaving only air resistance and electromagnetic drag, potentially improving power efficiency.

Maglev – Comparison with conventional trains

Weight: The weight of the electromagnets in many EMS and EDS designs seems like a major design issue to the uninitiated

Maglev – Comparison with conventional trains

Noise: Because the major source of noise of a maglev train comes from displaced air, maglev trains produce less noise than a conventional train at equivalent speeds. However, the psychoacoustic profile of the maglev may reduce this benefit: a study concluded that maglev noise should be rated like road traffic while conventional trains have a 5–10 dB “bonus” as they are found less annoying at the same loudness level.

Maglev – Comparison with conventional trains

Design Comparisons: Braking and overhead wire wear have caused problems for the Fastech 360 railed Shinkansen. Maglev would eliminate these issues. Magnet reliability at higher temperatures is a countervailing comparative disadvantage (see suspension types), but new alloys and manufacturing techniques have resulted in magnets that maintain their levitational force at higher temperatures.

Maglev – Comparison with conventional trains

There are no need for train whistles or horns, either.

Maglev – Shanghai Maglev Train

This Shanghai Maglev Train demonstration line, or Initial Operating Segment (IOS), has been in commercial operations since April 2004 and now operates 115 (up from 110 daily trips in 2010) daily trips that traverse the 30 km (19 mi) between the two stations in just 7 minutes, achieving a top speed of 431 km/h (268 mph), averaging 266 km/h (165 mph)

Maglev – Shanghai Maglev Train

Plans to extend the line to Shanghai South Railway Station and Hongqiao Airport on the western edge of Shanghai have been put on hold. After the Shanghai–Hangzhou Passenger Railway has become operational in late 2010, the maglev extension has become somewhat redundant and may be canceled.

Perception management – Training

The New York Times states, in theory these new standards for concussions are great for preventing any further brain damage and significantly reducing the risk of missing symptoms that can be onset in the next 24 hours, but with athletes now hiding possible concussions from athletic trainers and physicians, these standards may actually have a negative effect on concussion management.

Copy editing – Traits, skills, and training

Besides an excellent command of language, copy editors need broad general knowledge for spotting factual errors; good critical thinking skills in order to recognize inconsistencies or vagueness; interpersonal skills for dealing with writers, other editors and designers; attention to detail; and a sense of style. Also, they must establish priorities and balance a desire for perfection with the necessity to follow deadlines.

Copy editing – Traits, skills, and training

Many copy editors have a college degree, often in journalism, the language the text is written in, or communications. In the United States, copy editing is often taught as a college journalism course, though its name varies. The courses often include news design and pagination.

Copy editing – Traits, skills, and training

In the United States, The Dow Jones Newspaper Fund sponsors internships that include two weeks of training. Also, the American Press Institute, the Poynter Institute, the University of North Carolina at Chapel Hill, UC San Diego Extension and conferences of the American Copy Editors Society offer mid-career training for newspaper copy editors and news editors (news copy desk supervisors).

Copy editing – Traits, skills, and training

Most U.S. newspapers and publishers give copy-editing job candidates an editing test or a tryout. These vary widely and can include general items such as acronyms, current events, math, punctuation, and skills such as the use of Associated Press style, headline writing, infographics editing, and journalism ethics.

Copy editing – Traits, skills, and training

In both the U.S. and the U.K., there are no official bodies offering a single recognized qualification.

Copy editing – Traits, skills, and training

In the U.K., several companies provide a range of courses unofficially recognised within the industry. Training may be on the job or through publishing courses, privately run seminars, or correspondence courses of the Society for Editors and Proofreaders. The National Council for the Training of Journalists also has a qualification for subeditors.

Logic programming – Constraint logic programming

Constraint logic programming is an extension of normal Logic Programming that allows some predicates, declared as constraint predicates, to occur as literals in the body of clauses. These literals are not solved by goal-reduction using program clauses, but are added to a store of constraints, which is required to be consistent with some built-in semantics of the constraint predicates.

Logic programming – Constraint logic programming

Problem solving is achieved by reducing the initial problem to a satisfiable set of constraints. Constraint logic programming has been used to solve problems in such fields as civil engineering, mechanical engineering, digital circuit verification, automated timetabling, air traffic control, and finance. It is closely related to abductive logic programming.

PRINCE2 – Exams, accreditation and training

PRINCE2 certification requires passing the requisite examinations or assessment. The lower level Foundation exam is a one-hour, multiple choice exam which tests candidate’s knowledge of the method. The exam consists of 75 questions, 5 of which are trial questions which do not carry a mark. Of the remaining 70 questions which do carry a mark, the candidate needs to score 50% or more (i.e. 35 or more) to pass.

PRINCE2 – Exams, accreditation and training

The higher level Practitioner exam lasts for 2.5 hours, and is a more complex multiple choice exam which tests candidate’s ability to apply the method to a simple project scenario. The paper consists of 8 topics, with 10 questions per topic making a total of 80 marks. The pass mark is 55%, which is 44 marks or more. Passing the Foundation exam is a pre-requisite for sitting the Practitioner exam.

PRINCE2 – Exams, accreditation and training

Candidates who have passed the PRINCE2 Practitioner exam may call themselves a Registered PRINCE2 Practitioner for 5 years after which they must pass a Re-registration examination every 5 years to maintain their Registered Practitioner status. The Re-registration exam is a one hour exam with 3 topics each containing 10 questions. The pass mark is 55%, which means candidates must score 17 marks or more to pass.

PRINCE2 – Exams, accreditation and training

In 2012, the accreditation body, the APM Group, introduced a higher level qualification known as the PRINCE2 Professional qualification which is a 2.5 day residential assessment involving group exercises and activities. The assessment criteria involve more general capabilities such as team working, which is not a specific PRINCE2 capability. Passing the Practitioner exam is a pre-requisite for sitting the Professional assessment.

PRINCE2 – Exams, accreditation and training

Examinations can be sat by candidates who attend an accredited training course, or by those who purchase an accredited elearning course. Candidates who self-study may also purchase an exam via the APM Group’s web site and can then sit the exam at a public exam centre, or at a British Council office.

PRINCE2 – Exams, accreditation and training

The APM Group publishes a successful candidate register which can be searched on the web. The register records the details of candidates who have sat PRINCE2 examinations.

PRINCE2 – Exams, accreditation and training

Trainers must be re-accredited every 3 years and undergo a surveillance check (either in the form of a visit by an assessor to a training course or a telephone interview which assesses their professional knowledge and training capability) every 12 months.

PRINCE2 – Exams, accreditation and training

Qualified PRINCE2 Practitioners who go on to study for the APMP qualification are exempt from certain topics of the syllabus that are covered in the PRINCE2 Practitioner qualification.

Bachelor’s degree – Russia, Ukraine, Armenia

The specialist’s degree (Russian: ??????????), (Ukrainian: ????i??i??) was the first academic distinction in the Soviet Union, awarded to students upon completion of five-year studies at the university level

Software Engineering Institute – Education and training

SEI courses help bring state-of-the-art technologies and practices from research and development into widespread use. SEI courses are currently offered at the SEI’s locations in the United States and Europe. In addition, using licensed course materials, SEI Partners train thousands of individuals annually.

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