Results 151 to 160 of about 237,695 (301)
Advanced Science, EarlyView.This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu +6 more
wiley +1 more source
Value at risk models in finance [PDF]
The main objective of this paper is to survey and evaluate the performance of the most popular univariate VaR methodologies, paying particular attention to their underlying assumptions and to their logical flaws.
Manganelli, Simone, Engle, Robert F.
core
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
Advanced Science, EarlyView.A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Predictive ability of Value-at-Risk methods: evidence from the Karachi Stock Exchange-100 Index [PDF]
Value-at-risk (VaR) is a useful risk measure broadly used by financial institutions all over the world. VaR is popular among researchers, practitioners and regulators of financial institutions. VaR has been extensively used for to measure systematic risk
Iqbal, Javed, Azher, Sara, Ijza, Ayesha
core +1 more source
THE PORTFOLIO OF FINANCIAL ASSETS OPTIMIZATION. DIFFERENT APPROACHES TO ASSESS RISK
Quantitative Methods in Economics, 2018 Petro Hrytsiuk
doaj +1 more source
Advanced Science, EarlyView.Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu +5 more
wiley +1 more source
Accurate Value-at-Risk Forecast with the (good old) Normal-GARCH Model [PDF]
A resampling method based on the bootstrap and a bias-correction step is developed for improving the Value-at-Risk (VaR) forecasting ability of the normal-GARCH model.
Stefan Mittnik +2 more
core
Advanced Science, EarlyView.In the pathological state of PD induced by MPP+, the upregulated PRMT9 in dopaminergic neurons translocates into mitochondrion and interacts with DUSP26 and catalyzes its arginine methylation, leading to the ubiquitin‐proteasomal degradation of DUSP26 mediated by Trim32.
Tengfei Liu +13 more
wiley +1 more source
Credit Risk and Real Capital: An Examination of Swiss Banking Sector Default Risk Using CVaR [PDF]
The global financial crisis (GFC) has placed the creditworthiness of banks under intense scrutiny. In particular, capital adequacy has been called into question.
David E Allen, Robert Powell
core
Advanced Science, EarlyView.Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee +9 more
wiley +1 more source