Topic Review
Data Re-Identification
Data Re-Identification is the practice of matching anonymous data (also known as de-identified data) with publicly available information, or auxiliary data, in order to discover the individual to which the data belongs to. This is a concern because companies with privacy policies, health care providers, and financial institutions may release the data they collect after the data has gone through the de-identification process. The de-identification process involves masking, generalizing or deleting both direct and indirect identifiers; the definition of this process is not universal, however. Information in the public domain, even seemingly anonymized, may thus be re-identified in combination with other pieces of available data and basic computer science techniques. The Common Rule Agencies, a collection of multiple U.S. federal agencies and departments including the U.S. Department of Health and Human Services, speculate that re-identification is becoming gradually easier because of "big data" - the abundance and constant collection and analysis of information along the evolution of technologies and the advances of algorithms. However, others have claimed that de-identification is a safe and effective data liberation tool and do not view re-identification as a concern. A 2000 study found that 87 percent of the U.S. population can be identified using a combination of their gender, birthdate and zip code. Others do not think that re-identification is a serious threat, and call it a "myth"; they claim that the combination of zip code, date of birth and gender is rare or partially complete, such as only the year and month birth without the date, or the county name instead of the specific zip code, thus the risk of such re-identification is reduced in many instances.
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  • 31 Oct 2022
Topic Review
Great Soviet Encyclopedia
The Great Soviet Encyclopedia (GSE; Russian: Большая советская энциклопедия, БСЭ, Bolshaya sovetskaya entsiklopediya) is one of the largest Russian-language encyclopedias, published by the Soviet state from 1926 to 1990, and again since 2002 by Russia (under the name Bolshaya Rossiyskaya entsiklopediya or Great Russian Encyclopedia). The GSE claimed to be "the first Marxist-Leninist general-purpose encyclopedia".
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Topic Review
Mathematical Economics
Mathematical economics is the application of mathematical methods to represent theories and analyze problems in economics. Often, these applied methods are beyond simple geometry, and may include differential and integral calculus, difference and differential equations, matrix algebra, mathematical programming, or other computational methods. Proponents of this approach claim that it allows the formulation of theoretical relationships with rigor, generality, and simplicity. Mathematics allows economists to form meaningful, testable propositions about wide-ranging and complex subjects which could less easily be expressed informally. Further, the language of mathematics allows economists to make specific, positive claims about controversial or contentious subjects that would be impossible without mathematics. Much of economic theory is currently presented in terms of mathematical economic models, a set of stylized and simplified mathematical relationships asserted to clarify assumptions and implications. Formal economic modeling began in the 19th century with the use of differential calculus to represent and explain economic behavior, such as utility maximization, an early economic application of mathematical optimization. Economics became more mathematical as a discipline throughout the first half of the 20th century, but introduction of new and generalized techniques in the period around the Second World War, as in game theory, would greatly broaden the use of mathematical formulations in economics. This rapid systematizing of economics alarmed critics of the discipline as well as some noted economists. John Maynard Keynes, Robert Heilbroner, Friedrich Hayek and others have criticized the broad use of mathematical models for human behavior, arguing that some human choices are irreducible to mathematics.
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  • 31 Oct 2022
Topic Review
Digital Literacy
Digital literacy refers to an individual's ability to find, evaluate, and compose clear information through writing and other media on various digital platforms. Digital literacy is evaluated by an individual's grammar, composition, typing skills and ability to produce text, images, audio and designs using technology. While digital literacy initially focused on digital skills and stand-alone computers, the advent of the internet and use of social media, has caused some of its focus to shift to mobile devices. Similar to other expanding definitions of literacy that recognize cultural and historical ways of making meaning, digital literacy does not replace traditional forms of literacy, and instead builds upon and expands the skills that form the foundation of traditional forms of literacy. Digital literacy should be considered to be a part of the path to knowledge. Digital literacy is built on the expanding role of social science research in the field of literacy as well as on concepts of visual literacy, computer literacy, and information literacy. Overall, digital literacy shares many defining principles with other fields that use modifiers in front of literacy to define ways of being and domain specific knowledge or competence. The term has grown in popularity in education and higher education settings and is used in both international and national standards.
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Topic Review
AT&T U-verse
AT&T U-verse, commonly called U-verse, is an AT&T brand of triple-play telecommunications services, although the brand is now only used in reference to the IPTV service. Launched on June 26, 2006, U-verse included broadband Internet (now AT&T Internet or AT&T Fiber), IP telephone (now AT&T Phone), and IPTV (U-verse TV) services in 48 states. In September 2016, AT&T announced that the "U-verse" brand would no longer apply to its broadband and phone services, renaming them "AT&T Internet" and "AT&T Phone", respectively. On February 25, 2021, AT&T announced that it would spin off DirecTV, U-verse and AT&T TV into a separate entity, selling a 30% stake to TPG Capital while retaining a 70% stake in the new standalone company. The deal is expected to close in the second quarter of 2021.
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Topic Review
Trigonometry
Trigonometry (from grc τρίγωνον (trígōnon) 'triangle', and μέτρον (métron) 'measure') is a branch of mathematics that studies relationships between side lengths and angles of triangles. The field emerged in the Hellenistic world during the 3rd century BC from applications of geometry to astronomical studies. The Greeks focused on the calculation of chords, while mathematicians in India created the earliest-known tables of values for trigonometric ratios (also called trigonometric functions) such as sine. Throughout history, trigonometry has been applied in areas such as geodesy, surveying, celestial mechanics, and navigation. Trigonometry is known for its many identities. These trigonometric identities are commonly used for rewriting trigonometrical expressions with the aim to simplify an expression, to find a more useful form of an expression, or to solve an equation.
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Topic Review
RetroShare
RetroShare is a free and open-source peer-to-peer communication and file sharing app based on a friend-to-friend network built on GNU Privacy Guard (GPG). Optionally, peers may communicate certificates and IP addresses from and to their friends.
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Topic Review
Computer Emergency Response Team
A computer emergency response team (CERT) is an expert group that handles computer security incidents. Alternative names for such groups include computer emergency readiness team and computer security incident response team (CSIRT).
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Topic Review
Applications of Artificial Intelligence to Legal Informatics
Artificial intelligence and law (AI and law) is a subfield of artificial intelligence (AI) mainly concerned with applications of AI to legal informatics problems and original research on those problems. It is also concerned to contribute in the other direction: to export tools and techniques developed in the context of legal problems to AI in general. For example, theories of legal decision making, especially models of argumentation, have contributed to knowledge representation and reasoning; models of social organization based on norms have contributed to multi-agent systems; reasoning with legal cases has contributed to case-based reasoning; and the need to store and retrieve large amounts of textual data has resulted in contributions to conceptual information retrieval and intelligent databases.
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Topic Review
Disk Defragmenter (Windows)
Disk Defragmenter is a utility in Microsoft Windows designed to increase access speed by rearranging files stored on a disk to occupy contiguous storage locations, a technique called defragmentation. Defragmenting a disk minimizes head travel, which reduces the time it takes to read files from and write files to the disk. Beginning with Windows XP, Disk Defragmenter also reduces system startup times. From Windows 8, the program was renamed to Defragment and Optimize Drives.
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