Quantitative Risk Assessment Software
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Quantitative Risk Assessment Software
Quantitative risk assessment (QRA) software and methodologies give quantitative estimates of risks, given the parameters defining them. They are used in the financial sector, the chemical process industry, and other areas. In financial terms, quantitative risk assessments include a calculation of the single loss expectancy of monetary value of an asset. In the chemical process and petrochemical industries a QRA is primarily concerned with determining the potential loss of life (PLL) caused by undesired events. Specialist software can be used to model the effects of such an event, and to help calculate the potential loss of life. Some organisations use the risk outputs to assess the implied cost to avert a fatality (ICAF) which can be used to set quantified criteria for what is an unacceptable risk and what is tolerable. For the explosives industry, QRA can be used for many explosive risk applications. It is especially useful for site risk analysis when reliance on quantity distan ...
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Single Loss Expectancy
Single-loss expectancy (SLE) is the monetary value expected from the occurrence of a risk on an asset. It is related to risk management and risk assessment. Single-loss expectancy is mathematically expressed as: = \times Where the exposure factor is represented in the impact of the risk over the asset, or percentage of asset lost. As an example, if the asset value is reduced by two thirds, the exposure factor value is 0.66. If the asset is completely lost, the exposure factor is 1. The result is a monetary value in the same unit as the single-loss expectancy is expressed (euros, dollars, yens, etc.): exposure factor is the subjective, potential percentage of loss to a specific asset if a specific threat is realized. The exposure factor is a subjective value that the person assessing risk must define. See also *Information assurance *Risk assessment *Annualized loss expectancy The annualized loss expectancy (ALE) is the product of the annual rate of occurrence (ARO) and t ...
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Trade-off
A trade-off (or tradeoff) is a situational decision that involves diminishing or losing one quality, quantity, or property of a set or design in return for gains in other aspects. In simple terms, a tradeoff is where one thing increases, and another must decrease. Tradeoffs stem from limitations of many origins, including simple physics – for instance, only a certain volume of objects can fit into a given space, so a full container must remove some items in order to accept any more, and vessels can carry a few large items or multiple small items. Tradeoffs also commonly refer to different configurations of a single item, such as the tuning of strings on a guitar to enable different notes to be played, as well as an allocation of time and attention towards different tasks. The concept of a tradeoff suggests a tactical or strategic choice made with full comprehension of the advantages and disadvantages of each setup. An economic example is the decision to invest in stocks, which a ...
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True 3D
3D computer graphics, or “3D graphics,” sometimes called CGI, 3D-CGI or three-dimensional computer graphics are graphics that use a three-dimensional representation of geometric data (often Cartesian) that is stored in the computer for the purposes of performing calculations and rendering digital images, usually 2D images but sometimes 3D images. The resulting images may be stored for viewing later (possibly as an animation) or displayed in real time. 3D computer graphics, contrary to what the name suggests, are most often displayed on two-dimensional displays. Unlike 3D film and similar techniques, the result is two-dimensional, without visual depth. More often, 3D graphics are being displayed on 3D displays, like in virtual reality systems. 3D graphics stand in contrast to 2D computer graphics which typically use completely different methods and formats for creation and rendering. 3D computer graphics rely on many of the same algorithms as 2D computer vector graphics ...
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Recidivism
Recidivism (; from ''recidive'' and ''ism'', from Latin ''recidīvus'' "recurring", from ''re-'' "back" and ''cadō'' "I fall") is the act of a person repeating an undesirable behavior after they have experienced negative consequences of that behavior. It is also used to refer to the percentage of former prisoners who are rearrested for a similar offense.Henslin, James. ''Social Problems: A Down-To-Earth Approach'', 2008. The term is frequently used in conjunction with criminal behavior and substance abuse. Recidivism is a synonym for "relapse", which is more commonly used in medicine and in the disease model of addiction. Norway has one of the lowest recidivism rates in the world at 20%. Prisons in Norway and the Norwegian criminal justice system focus on restorative justice and rehabilitating prisoners rather than punishment. United States According to an April 2011 report by the Pew Center on the States, the average national recidivism rate for released prisoner ...
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Machine Ethics
Machine ethics (or machine morality, computational morality, or computational ethics) is a part of the ethics of artificial intelligence concerned with adding or ensuring moral behaviors of man-made machines that use artificial intelligence, otherwise known as artificial intelligent agents. Machine ethics differs from other ethical fields related to engineering and technology. Machine ethics should not be confused with computer ethics, which focuses on human use of computers. It should also be distinguished from the philosophy of technology, which concerns itself with the grander social effects of technology. History Before the 21st century the ethics of machines had largely been the subject of science fiction literature, mainly due to computing and artificial intelligence (AI) limitations. Although the definition of "Machine Ethics" has evolved since, the term was coined by Mitchell Waldrop in the 1987 AI Magazine article "A Question of Responsibility":''"However, one thing that ...
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Big Data
Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe Big data is the one associated with large body of information that we could not comprehend when used only in smaller amounts. In it primary definition though, Big data refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: ''volume'', ''variety'', and ''velocity''. The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampling. ...
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Machine Learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning IEEE Transactions on Vehicular Technology, 2020. A subset of machine learning is closely related to computational statistics, which focuses on making predicti ...
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Law & Inequality
''Minnesota Journal of Law & Inequality'', (formerly ''Law & Inequality: A Journal of Theory and Practice'') is a biannual peer-reviewed law journal edited by law students at University of Minnesota Law School The University of Minnesota Law School is the law school of the University of Minnesota, located in Minneapolis, Minnesota. The school confers four law degrees: a Juris Doctor (J.D.), a Master of Laws (LL.M.), a Master of Science in Patent L .... It was established in 1981 to examine the social impact of law on disadvantaged people. In 2016, the journal launched its online companion site, ''Inequality Inquiry'' (formerly ''Sua Sponte''). The journal has been cited by federal and state courts, including: * United States v. Virginia. *State v. Janes. *Sayers by Sayers v. Beltrami County. *Isabellita S. v. John S. *Rio v. Rio. *Eastman v. Virginia Polytechnic Institute and State University.Eastman v. Va. Polytechnic Institute and State University, 939 F.2d 204, 208 n.5 ...
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Evaluation Methods
Evaluation is a systematic determination and assessment of a subject's merit, worth and significance, using criteria governed by a set of standards. It can assist an organization, program, design, project or any other intervention or initiative to assess any aim, realisable concept/proposal, or any alternative, to help in decision-making; or to ascertain the degree of achievement or value in regard to the aim and objectives and results of any such action that has been completed. The primary purpose of evaluation, in addition to gaining insight into prior or existing initiatives, is to enable reflection and assist in the identification of future change. Evaluation is often used to characterize and appraise subjects of interest in a wide range of human enterprises, including the arts, criminal justice, foundations, non-profit organizations, government, health care, and other human services. It is long term and done at the end of a period of time. Definition Evaluation is the s ...
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Impact Assessment
Policy Impact Assessments (IAs) are formal, evidence-based procedures that assess the economic, social, and environmental effects of public policy. They have been incorporated into policy making in the OECD countries and the European Commission. Key types of impact assessments include global assessments (global level), policy impact assessment (policy level), strategic environmental assessment (programme and plan level), and environmental impact assessment (project level). Impact assessments can focus on specific themes, such as social impact assessments and gender impact assessments. IAs can improve legislation by: * Informing policy makers about potential economic, social, and environmental ramifications * Improving transparency so that contributions to sustainability and "better regulation" are disclosed and special interest lobbying is discouraged * Increasing public participation in order to reflect a range of considerations, thereby improving the legitimacy of policies * Clar ...
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Occupational Safety And Health
Occupational safety and health (OSH), also commonly referred to as occupational health and safety (OHS), occupational health, or occupational safety, is a multidisciplinary field concerned with the safety, health, and welfare of people at work (i.e. in an occupation). These terms also refer to the goals of this field, so their use in the sense of this article was originally an abbreviation of ''occupational safety and health program/department'' etc. The goal of an occupational safety and health program is to foster a safe and healthy occupational environment. OSH also protects all the general public who may be affected by the occupational environment.Fanning, Fred E. (2003). Basic Safety Administration: A Handbook for the New Safety Specialist, Chicago: American Society of Safety Engineers Globally, more than 2.78 million people die annually as a result of workplace-related accidents or diseases, corresponding to one death every fifteen seconds. There are an additional 374 m ...
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