Results 151 to 160 of about 690,474 (299)
Value-at-Risk vs. Conditional Value-at-Risk in Risk Management and Optimization [PDF]
, 2008 Sergey Sarykalin +2 more
openaire +1 more source
2D Metal‐Organic Frameworks for High‐Performance Solid‐State Electrolytes: A Comprehensive Review
Advanced Science, EarlyView.In this review, we elucidate the intrinsic advantages, synthetic methodologies, structural characteristics, ion‐transport mechanisms and performance optimization strategies while highlighting representative material systems and applications of 2D MOFs for electrolyte applications.
Changchun Ai +8 more
wiley +1 more source
Smart Optogenetics for Real‐Time Automated Control of Cardiac Electrical Activity
Advanced Science, EarlyView.We are able to stop dangerous heart‐rhythm spirals before they fully form. Within about 100 ms, it pinpoints the spiral's tiny central tip (≈0.9 mm) using light‐based sensing and machine learning, then shines targeted light to shut it down. This fast, precise, closed‐loop approach detects, targets, and terminates arrhythmias in real time.
Shanliang Deng +15 more
wiley +1 more source
On measuring the sensitivity of the optimal portfolio allocation [PDF]
In this paper we consider the sensitivity problem connected with portfolio optimization results when different measures of risk such as portfolio rates of return standard deviation, portfolio VaR, CVaR are minimized. Conditioning the data (represented by
Iwona Konarzewska
core
Advanced Science, EarlyView.Glaucoma, a major cause of blindness, involves retinal ganglion cell (RGC) degeneration. This study shows growth hormone‐releasing hormone receptor (GHRHR) deficiency preserves RGC survival and restores vision, unlike activation which only aids survival.
Yan Tong +24 more
wiley +1 more source
Conditional Value-at-Risk: Theory and Applications
, 2015 62 pages (without bibliography and appendix), 27 figures, Dissertation presented for the degree of MSc in Operational Research, University of ...
openaire +2 more sources
Measuring financial risk : comparison of alternative procedures to estimate VaR and ES [PDF]
We review several procedures for estimating and backtesting two of the most important measures of risk, the Value at Risk (VaR) and the Expected Shortfall (ES).
Esther Ruiz, Maria Rosa Nieto
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Advanced Science, EarlyView.A conditional multi‐task deep learning framework is developed for designing and optimizing Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces (FHPEMs). This framework achieves joint spectro‐polarimetric learning and unified forward–inverse design.
Chenjie Gong +9 more
wiley +1 more source
Exact inference in diagnosing value-at-risk estimates: A Monte Carlo device [PDF]
In this note a Monte Carlo approach is suggested to determine critical values for diagnostic tests of Value-at-Risk models that rely on binary random variables. Monte Carlo testing offers exact significance levels in finite samples.
Herwartz, Helmut
core
Advanced Science, EarlyView.Urinary Fusobacterium nucleatum–derived outer membrane vesicles are shown to promote bladder cancer lymphatic metastasis. The vesicle protein FomA activates TLR2/NF‐κB signaling in tumor cells, induces IL‐6 secretion, and drives M2b macrophage polarization and VEGF‐C–dependent lymphangiogenesis, revealing a microbiota‐driven mechanism linking tumor ...
Wentai Shangguan +17 more
wiley +1 more source