Results 81 to 90 of about 136,974 (263)

Estimating Climate Risk Exposure in the U.S. Insurance Sector Using Factor Model and EVT

open access: yesMathematics
This study examines the exposure of the U.S. insurance sector to climate-related risks using a two-step approach combining factor modeling and Extreme Value Theory. The analysis first constructs a climate risk factor from transition-sensitive sectors and
Olanrewaju Oluwadamilare Olaniyan
doaj   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

open access: yesAdvanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño   +5 more
wiley   +1 more source

GNL3 Orchestrates AR Transcriptional Programs to Drive Castration‐Resistant Prostate Cancer and Immune Evasion

open access: yesAdvanced Science, EarlyView.
GNL3 is a novel AR coregulator with dual coactivator and corepressor functions in prostate cancer (PCa). Our study uncovers a previously unrecognized mechanism by which the AR transcriptional complex integrates oncogenic signaling and immune suppression.
Cuiting Zhang   +12 more
wiley   +1 more source

Oral Streptococcus salivarius Couples Neutrophil IRGM1 Signaling to NET Formation and Colorectal Cancer Metastasis

open access: yesAdvanced Science, EarlyView.
The oral bacterium Streptococcus salivarius promotes colorectal cancer metastasis by inducing neutrophil extracellular trap (NET) formation. Mechanistically, IRGM1–IQGAP1 interaction activates Wnt5a–PI3K/AKT signaling in neutrophils, driving NET‐mediated tumor progression.
Fengyi Liu   +13 more
wiley   +1 more source

A Non-parametric Method for Calculating Conditional Stressed Value at Risk

open access: yesСтатистика и экономика, 2017
We consider the Value at Risk (VaR) of a portfolio under stressed conditions. In practice, the stressed VaR (sVaR) is commonly calculated using the data set that includes the stressed period.
Kohei Marumo
doaj   +3 more sources

β‐Adrenergic Signaling Promotes Anti‐Tumor Immunity in TP53‐mutant Oral Squamous Cell Carcinoma

open access: yesAdvanced Science, EarlyView.
β‐adrenergic stimulation enhances anti‐tumor immunity in TP53‐deficient oral squamous cell carcinoma by inducing tumor‐derived secretion of CXCL10, which attracts and activates cytotoxic CD8+ T cells. The findings demonstrate that β‐adrenergic signaling alters tumor–immune interactions via CXCL10‐mediated paracrine activation, revealing a neuro‐immune ...
Frederico O. Gleber‐Netto   +20 more
wiley   +1 more source

GPCRs in CAR‐T Cell Immunotherapy: Expanding the Target Landscape and Enhancing Therapeutic Efficacy

open access: yesAdvanced Science, EarlyView.
Chimeric antigen receptor T cell therapy faces dual challenges of target scarcity and an immunosuppressive microenvironment in solid tumors. This review highlights how G protein‐coupled receptors can serve as both novel targets to expand the therapeutic scope and functional modules to enhance CAR‐T cell efficacy.
Zhuoqun Liu   +11 more
wiley   +1 more source

Examining the Relationship between Diversification of Banking Resources and Expenses and Systemic Risk [PDF]

open access: yesراهبرد مدیریت مالی
The purpose of this article was to investigate the relationship between the diversification of banking resources and expenses with systemic risk in the country's banking system.
Yazdan Gudarzi Farahani   +2 more
doaj   +1 more source

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

open access: yesAdvanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio   +3 more
wiley   +1 more source

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