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Integral approach to risk analysis and value engineering [PDF]
Ognjen Anđelić+2 more
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Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner+6 more
wiley +1 more source
Dynamic stochastic analysis of risk management problems in financial engineering and manufacturing [PDF]
Thesis (Ph. D. in Engineering)--University of Tsukuba, (A), no. 5658, 2011.3.25Includes bibliographical references (p.
黄 嘉平
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A research for improvement methods in the aspect of safety engineering through risk analysis of facilities for multiple use - Focused on escalator and passenger conveyors - [PDF]
Sun-Geol Kwon+2 more
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A DIA‐MS‐based proteomics analysis of serum samples from GB patients and healthy controls showed that high levels of IL1R2 and low levels of CRTAC1 and HRG in serum are associated with poor survival outcomes for GB patients. These circulating proteins could serve as biomarkers for the prediction of outcome in patients with GB.
Anne Clavreul+11 more
wiley +1 more source
SASICE: Safety and sustainability in civil engineering
The performance of the built environment and the construction sector are of major importance in Europe’s long term goals of sustainable development in a changing climate. At the same time, the quality of life of all European citizens needs to be improved
Azevedo, J+10 more
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Systemic Approach to Estimation of Financial Risks [PDF]
Modern approaches to risk estimation, forecasting and management are based upon intensive application of mathematical modeling, estimation theory, application of Bayesian statistics, simulation, decision making methods and techniques and other ...
Bidyuk, P.I., Kuznietsova, N.V.
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Scenario-Based Preferences in Risk Analysis and Systems Engineering: Evolution through Time Frames [PDF]
Michelle C. Hamilton
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Cotargeting EGFR and STAT3 with Erlotinib and TTI‐101 impairs both 2D and 3D growth of ETV1‐overexpressing prostate cancer cells by disrupting a self‐sustaining ETV1–EGFR positive feedback loop that promotes EGFR and STAT3 expression and phosphorylation (activation).
Elsa Gomes Paiva+5 more
wiley +1 more source
Advanced Methods for Dose-Response Assessment: Bayesian Approaches—Final Report [PDF]
Resources for the Future (RFF), in conjunction with the U.S. Environmental Protection Agency, the Society for Risk Analysis, and the Electric Power Research Institute, held a workshop September 18–20, 2000, at the RFF Conference Center in Washington, D.C.
Wilson, James
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