Results 91 to 100 of about 136,974 (263)
Machine learning-based price forecasting and risk management in renewable energy markets
The rising share of renewable energy has amplified electricity price volatility, underscoring the need for accurate forecasting and robust risk management.
Kuochun Lin, Peichun Feng
doaj +1 more source
O presente estudo propõe uma análise comparativa de dez modelos de volatilidade para o cálculo do Value-at-Risk (VaR) para carteira teórica do Ibovespa, considerando a presença de memória longa na série temporal dos seus retornos diários.
Luiz Eduardo Gaio +1 more
doaj +1 more source
The senescence of macrophages leads to a decrease in the expression of Sirtuin3 (Sirt3), which in turn aggravates the NLRP3 inflammasome activation and IL‐1β secretion, thereby promoting the aging‐related osteoporosis. Sirt3‐enriched apoptotic bodies (ABs‐Sirt3) generated through genetic editing approaches can alleviate skeletal aging by targeting ...
Yanglin Wu +7 more
wiley +1 more source
Hedging Risks in the Loss-Averse Newsvendor Problem with Backlogging
This paper studies the optimal order decisions for the loss-averse newsvendor problem with backordering and contributes to the risk hedging issue in the newsvendor model.
Xiaoqing Liu +2 more
doaj +1 more source
A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu +13 more
wiley +1 more source
A new Bayesian method for estimation of value at risk and conditional value at risk
Abstract Value at Risk (VaR) and Conditional Value at Risk (CVaR) have become the most popular measures of market risk in Financial and Insurance fields. However, the estimation of both risk measures is challenging, because it requires the knowledge of the tail of the distribution. Therefore, Extreme Value Theory initially seemed to be one of
Jacinto Martín +3 more
openaire +3 more sources
PAF Triggered Pyroptotic NETosis Aggravates Myocardial Ischemia/Reperfusion Injury
Platelet activating factor (PAF) secreted by cardiomyocytes during MI/R, drives NETs formation and subsequent NETosis. PAF/NETosis signaling activation is an initiative and causal factor in driving MI/R injury. This study identifies dapagliflozin as a potent NETosis inhibitor, and demonstrates that manipulating PAF‐NETosis signal by dapagliflozin or ...
Jiawei Wu +11 more
wiley +1 more source
This study aims to estimate Conditional Value at Risk (CVaR) for insurance company stock portfolios using a machine learning approach to improve the accuracy of financial risk measurement under extreme market conditions.
Purwanto Purwanto, Agna Olivia
doaj +1 more source
Trading risk control model of electricity retailers in multi‐level power market of China
The decision‐making and risk assessment of electricity purchase and sales is the key to adapt to the electricity market for independent electricity retailers in China.
Xiaobao Yu, Yixin Sun
doaj +1 more source
This study highlights that radioimmunotherapy drives crosstalk between fibroblasts and immune cells (especially macrophages) in the cardiac microenvironment, with IL‐6 as the key mediator, and tocilizumab alleviates cardiac fibrosis by targeting this interplay.
Yuxi Luo +10 more
wiley +1 more source

