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Topic Review
Acronis True Image
Acronis True Image is a software product produced by Acronis that provides data protection for personal users including, backup, archive, access and recovery for Windows, macOS, iOS, and Android operating systems. As disk imaging software, True Image can restore the previously captured image to another disk, replicating the structure and contents to the new disk, also allowing disk cloning and partition resizing, even if the new disk is of a different capacity. The backups are in a proprietary format which saves using a .tib filename format. Acronis was launched in 2003 and in December 2014 claimed to have over 5 million consumer and 500,000 businesses users.
  • 2.1K
  • 15 Nov 2022
Topic Review
ACT-R
ACT-R (pronounced /ˌækt ˈɑr/; short for "Adaptive Control of Thought—Rational") is a cognitive architecture mainly developed by John Robert Anderson and Christian Lebiere at Carnegie Mellon University. Like any cognitive architecture, ACT-R aims to define the basic and irreducible cognitive and perceptual operations that enable the human mind. In theory, each task that humans can perform should consist of a series of these discrete operations. Most of the ACT-R's basic assumptions are also inspired by the progress of cognitive neuroscience, and ACT-R can be seen and described as a way of specifying how the brain itself is organized in a way that enables individual processing modules to produce cognition.
  • 289
  • 05 Dec 2022
Topic Review
Acute and Obtuse Triangles
An acute triangle (or acute-angled triangle) is a triangle with three acute angles (less than 90°). An obtuse triangle (or obtuse-angled triangle) is a triangle with one obtuse angle (greater than 90°) and two acute angles. Since a triangle's angles must sum to 180° in Euclidean geometry, no Euclidean triangle can have more than one obtuse angle. Acute and obtuse triangles are the two different types of oblique triangles — triangles that are not right triangles because they have no 90° angle.
  • 643
  • 24 Oct 2022
Biography
Adam C. Siepel
Adam C. Siepel (born 1972) is an American computational biologist known for his research in comparative genomics and population genetics, particularly the development of statistical methods and software tools for identifying evolutionarily conserved sequences.[1][2][3][4] Siepel is currently Chair of the Simons Center for Quantitative Biology and Professor in the Watson School for Biological Sci
  • 355
  • 29 Dec 2022
Topic Review
Adaptability Quotient
Adaptability Quotient (AQ) is a metric of adaptability used to measure performance in the workplace and assess individual potential. The earliest article published by Stuart Parkin in 2010 gave rise to the term Adaptability Quotient. This has inspired many others to expand and research the area. A recent deep dive into Adaptability Quotient can be found at SingularityU London Adaptability Webinar: "Developing adaptable workforces, a roadmap to recovery", where Ross Thornley, is joined by Jason Slater from UNIDO and Professor Nicolas Deuschel . Additionally Amin Toufani in 2014, shares his insights during his public lecture at Singularity University. he defines AQ as the ability to realize optimal outcomes based on recent or future change. Ross Thornley and Mike Raven's work at AQai is deepening the scientific research of AQ in the workplace, opening up new frontiers of understanding and links across multiple disciplines. Their A.C.E model is widely seen as the most holistic and comprehensive assessment. AQ is defined as, "Measuring the abilities, characteristics, and environmental factors which impact the successful behaviors and actions of people, and organizations to effectively respond to uncertainty, new information, or changed circumstances.” Decoding AQ 2020, Ross Thornley. (As of 2019), there is a growing body of literature surrounding adaptability, and consequent interest in being able to harness, measure, and quantify adaptability in the workplace. Adaptability was identified as the “new competitive advantage” by the Harvard Business Review in 2011. In 2014, The Flux Report (published by Right Management in the UK) revealed that 91% of HR managers thought that: "People will be recruited on their ability to deal with change and uncertainty" as opposed to other skills. Specifically adaptive performance in the research literature means numerous organizational scholars have recognized that traditional models of performance are static and need to be augmented to include "responsiveness to changing job requirements" — labeled adaptive performance (AP; Allworth & Hesketh, 1999, p. 98; Griffin, Neal, & Parker, 2007; Pulakos, Arad, Donovan, & Plamondon, 2000).
  • 2.3K
  • 28 Nov 2022
Topic Review
Adaptive Clustering
The paper is devoted to an overview of multi-agent principles, methods, and technologies intended to adaptive real-time data clustering. The proposed methods provide new principles of self-organization of records and clusters, represented by software agents, making it possible to increase the adaptability of different clustering processes significantly. The paper also presents a comparative review of the methods and results recently developed in this area and their industrial applications. An ability of self-organization of items and clusters suggests a new perspective to form groups in a bottom-up online fashion together with continuous adaption previously obtained decisions. Multi-agent technology allows implementing this methodology in a parallel and asynchronous multi-thread manner, providing highly flexible, scalable, and reliable solutions. Industrial applications of the intended for solving too complex engineering problems are discussed together with several practical examples of data clustering in manufacturing applications, such as the pre-analysis of customer datasets in the sales process, pattern discovery, and ongoing forecasting and consolidation of orders and resources in logistics, clustering semantic networks in insurance document processing. Future research is outlined in the areas such as capturing the semantics of problem domains and guided self-organization on the virtual market.
  • 3.1K
  • 08 Feb 2021
Topic Review
Adder (Electronics)
An adder, or summer, is a digital circuit that performs addition of numbers. In many computers and other kinds of processors adders are used in the arithmetic logic units (ALUs). They are also used in other parts of the processor, where they are used to calculate addresses, table indices, increment and decrement operators and similar operations. Although adders can be constructed for many number representations, such as binary-coded decimal or excess-3, the most common adders operate on binary numbers. In cases where two's complement or ones' complement is being used to represent negative numbers, it is trivial to modify an adder into an adder–subtractor. Other signed number representations require more logic around the basic adder.
  • 1.0K
  • 24 Nov 2022
Topic Review
Adobe Photoshop Version History
This table shows the Adobe Photoshop version history and operating system compatibility in charts, starting with the first versions by independent creators and brothers Thomas and John Knoll in the summer of 1988. The license to distribute the program was purchased by Adobe Systems in September 1988.
  • 535
  • 11 Oct 2022
Topic Review
Advanced Machine Learning
This entry provides a comprehensive state-of-the-art investigation of the recent advances in data science in emerging economic applications. The analysis is performed on the novel data science methods in four individual classes of deep learning models, hybrid deep learning models, hybrid machine learning, and ensemble models. Application domains include a broad and diverse range of economics research from the stock market, marketing, and e-commerce to corporate banking and cryptocurrency. Prisma method, a systematic literature review methodology, is used to ensure the quality of the survey. The findings reveal that the trends follow the advancement of hybrid models, which outperform other learning algorithms. It is further expected that the trends will converge toward the evolution of sophisticated hybrid deep learning models.
  • 1.2K
  • 25 Dec 2021
Topic Review
Advanced Persistent Threats Detection for Mobile Devices
Advanced persistent threat (APT) refers to a specific form of targeted attack used by a well-organized and skilled adversary to remain undetected while systematically and continuously exfiltrating sensitive data. Various APT attack vectors exist, including social engineering techniques such as spear phishing, watering holes, SQL injection, and application repackaging. Various sensors and services are essential for a smartphone to assist in user behavior that involves sensitive information. Resultantly, smartphones have become the main target of APT attacks.
  • 184
  • 12 Oct 2023
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