The Experts below are selected from a list of 89445 Experts worldwide ranked by ideXlab platform
Martin Skitmore - One of the best experts on this subject based on the ideXlab platform.
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A Decision Method for Construction Safety Risk Management Based on Ontology and Improved CBR: Example of a Subway Project.
International Journal of Environmental Research and Public Health, 2020Co-Authors: Xiaoyan Jiang, Sainan Lyu, Sai Wang, Jie Wang, Martin SkitmoreAbstract:Early Decision-making and the prevention of construction safety Risks are very important for the safety, quality, and cost of construction projects. In the field of construction safety Risk Management, in the face of a loose, chaotic, and huge information environments, how to design an efficient construction safety Risk Management Decision support method has long been the focus of academic research. An effective approach to safety Management is to structuralize safety Risk knowledge, then identify and reuse it, and establish a scientific and systematic construction safety Risk Management Decision system. Based on ontology and improved case-based reasoning (CBR) methods, this paper proposes a Decision-making approach for construction safety Risk Management in which the reasoning process is improved by integrating a similarity algorithm and correlation algorithm. Compared to the traditional CBR approach in which only the similarity of information is considered, this method can avoid missing important correlated information by making inferences from multiple sources of information. Finally, the method is applied to the safety Risks of subway construction for verification to show that the method is effective and easy to implement.
L. S. Mccarty - One of the best experts on this subject based on the ideXlab platform.
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the regulatory challenge of chemicals in the environment toxicity testing Risk assessment and Decision making models
Regulatory Toxicology and Pharmacology, 2018Co-Authors: L. S. Mccarty, C J Borgert, Leo PosthumaAbstract:Abstract Environmental assessment for chemicals relies on models of fate, exposure, toxicity, Risk, and impacts. Together, these models should provide scientific support for regulatory Risk Management Decision-making, assuming that progress through the data-information-knowledge-wisdom (DIKW) hierarchy is both appropriate and sufficient. Improving existing regulatory processes necessitates continuing enhancement of interpretation and evaluation of key data for use in Decision-making schemes, including ecotoxicity testing data, physical-chemical properties, and environmental fate processes. Yet, as environmental objectives also increase in scope and sophistication to encompass a safe chemical economy, testing, Risk assessment, and Decision-making are subject to additional complexity due to the ongoing interaction between science and policy models. Problems associated with existing design and implementation choices in science and policy have both limited needed development beyond chemo-centric environmental Risk assessment modeling and constrained needed improvements in environmental Decision-making. Without a thorough understanding of either the scientific foundations or the disparate evaluation processes for validation, quality, and relevance, this results in complex technical and philosophical problems that increase costs and decrease productivity. Both over- and under-Management of chemicals are consequences of failure to validate key model assumptions, unjustified standardized views on data selection, and inordinate reification (i.e., abstract concepts are wrongly treated as facts).
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Environmental Risk Management Decision-Making in a Societal Context
Human and Ecological Risk Assessment: An International Journal, 2006Co-Authors: M. Power, L. S. MccartyAbstract:ABSTRACT Recent studies point to the need for improved understanding of environmental Management frameworks designed to combine qualitative public and quantitative technical inputs in Decision-making processes. Flux in public perception and concern about Risks imply frameworks must be iterative in nature and incorporate a variety of assessment triggers in the form of Decision points. A conceptual model is proposed here to explain the de facto operation of standard Risk analytic frameworks within the broader sociopolitical milieu of public policy. The model is presented as a Decision flow diagram that emphasizes setting environmental Management goals based on societal input and the formulation of Decision criteria for selecting Management actions to achieve those goals. Prospective and retrospective Decision control points operate to select Management options that, respectively, avoid or reduce actual or predicted effects. Feedback loops that modify Risk Management outcomes are identified. Technical and sc...
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Risk-cost trade-offs in environmental Risk Management Decision-making
Environmental Science & Policy, 2000Co-Authors: M. Power, L. S. MccartyAbstract:Abstract Risk-cost trade-offs are deemed to provide a basis for selecting between those Risk reductions which are economic and those which are non-economic. Insufficient work has been done in environmental Risk Management Decision-making practice to validate this assumption, or to develop an analytical framework within which it may be employed. Empirical evidence from the literature is offered for the existence of Risk-cost trade-offs and the relationship of Risk-cost trade-offs to the benefits side of the Management Decision-making issue is discussed. The Risk-cost trade-off curve alone does not provide a complete basis for selecting between economic and non-economic Risk-cost combinations. When combined with information on the willingness-to-pay for Risk reductions, the Risk-cost trade-off curve may be used to distinguish between Risk reduction possibilities in a Risk Management Decision-making context. Results allow for a more developed theoretical Decision- making framework that, when amended for uncertainty, produces Decision criteria useful for environmental Risk Management Decision-making.
Garrick Louis - One of the best experts on this subject based on the ideXlab platform.
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Risk Characterization for Nanotechnology
Risk Analysis, 2010Co-Authors: Richard Williams, Kristen M. Kulinowski, Ronald White, Garrick LouisAbstract:Nanotechnology is a broad term that encompasses materials, structures, or processes that utilize engineered nanomaterials, which can be defined as materials intentionally designed to have one or more dimensions between 1 and 100 nm. Historically, Risk characterization has been viewed as the final phase of a Risk assessment process that integrates hazard identification, dose-response assessment, and exposure assessment. The novelty and diversity of materials, structures, and tools that are covered by above-defined “nanotechnology” raise substantial methodological issues and pose significant challenges for each of these phases of Risk assessment. These issues and challenges culminate in the Risk characterization phase of the Risk assessment process, and this article discusses several of these key issues and approaches to developing Risk characterization results and their implications for Risk Management Decision making that are specific to nanotechnology.
Xiaoyan Jiang - One of the best experts on this subject based on the ideXlab platform.
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A Decision Method for Construction Safety Risk Management Based on Ontology and Improved CBR: Example of a Subway Project.
International Journal of Environmental Research and Public Health, 2020Co-Authors: Xiaoyan Jiang, Sainan Lyu, Sai Wang, Jie Wang, Martin SkitmoreAbstract:Early Decision-making and the prevention of construction safety Risks are very important for the safety, quality, and cost of construction projects. In the field of construction safety Risk Management, in the face of a loose, chaotic, and huge information environments, how to design an efficient construction safety Risk Management Decision support method has long been the focus of academic research. An effective approach to safety Management is to structuralize safety Risk knowledge, then identify and reuse it, and establish a scientific and systematic construction safety Risk Management Decision system. Based on ontology and improved case-based reasoning (CBR) methods, this paper proposes a Decision-making approach for construction safety Risk Management in which the reasoning process is improved by integrating a similarity algorithm and correlation algorithm. Compared to the traditional CBR approach in which only the similarity of information is considered, this method can avoid missing important correlated information by making inferences from multiple sources of information. Finally, the method is applied to the safety Risks of subway construction for verification to show that the method is effective and easy to implement.
Stephanie V. Blank - One of the best experts on this subject based on the ideXlab platform.
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The influence of BRCA variants of unknown significance on cancer Risk Management Decision-making.
Journal of gynecologic oncology, 2019Co-Authors: Jing Yi Chern, Sarah S. Lee, Melissa K. Frey, Jessica Lee, Stephanie V. BlankAbstract:Objective To compare gynecological cancer Risk Management between women with BRCA variants of unknown significance (VUS) to women with negative genetic testing. Methods Ninety-nine patients whose BRCA genetic testing yielded VUS were matched with 99 control patients with definitive negative BRCA results at a single institution. Demographics and Risk Management Decisions were obtained through chart review. Primary outcome was the rate of Risk-reducing bilateral salpingo-oophorectomy (RRBSO). Chi square tests, t-tests, and logistic regression were performed, with significance of p Results VUS patients were more likely to be non-Caucasian (p=0.000) and of Ashkenazi-Jewish descent (p=0.000). There was no difference in gynecologic oncology referrals or recommendations to screen or undergo Risk-reducing surgery for VUS vs. negative patients. Ultimately, 44 patients (22%) underwent RRBSO, with no significant difference in surgical rate based on the presence of VUS. Ashkenazi-Jewish descent was associated with a 4.5 times increased Risk of RRBSO (OR=4.489; 95% CI=1.484-13.579) and family history of ovarian cancer was associated with a 2.6 times Risk of RRBSO (OR=2.641; 95% CI=1.107-6.299). Conclusion In our institution, patients with VUS were surgically managed similarly to those with negative BRCA testing. The numbers of patients with VUS are likely to increase with the implementation of multi-gene panel testing. Our findings underscore the importance of genetic counseling and individualized screening and prevention strategies in the Management of genetic testing results.
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The influence of BRCA variants of uncertain significance in cancer Risk Management Decision-making.
Journal of Clinical Oncology, 2015Co-Authors: Jing Yi Chern, Sarah S. Lee, Melissa K. Frey, Rebecca Yee Bassett, Jessica Martineau, Stephanie V. BlankAbstract:1555 Background: Among patients undergoing genetic testing for BRCA1/2 mutations, 7% will harbor a variant of uncertain significance (VUS), a finding with more emotional than clinical weight. The objective of this study was to compare cancer Risk Management Decisions among women with BRCA VUS to those of women with negative results. Methods: Between 1/2006-12/2012, we identified patients whose genetic testing results yielded a VUS and those who had definitively negative results at a single institution. VUS patients were matched with negative patients of the same age and testing date. χ2analyses were used to assess differences between the groups. Results: Three hundred and seventy-one patients underwent genetic testing during the study period. Eighty-two (22%) patients had a VUS and were matched with 82 control patients with negative genetic testing. The median age of study patients was 47 years for the 164 patients evaluated. Women with a VUS were more racially diverse than those with negative testing (38...
