Why AI Threat Models In Finance Must Follow The Data, Not The Code

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Marine regression emerges as key driver of Late Paleozoic Ice Age in high-resolution model

Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...
Scientific Research Publishing

Analyzing the Factors Influencing Sovereign Credit Ratings in East Africa ()

Credit Rating, Sovereign Credit Rating, Income Levels, Ordered Probit Model Share and Cite: Niyonshuti, M., Ishimwe, M., Su, M. and Nketia, E. (2026) Analyzing the Factors Influencing Sovereign Credit ...
Thorax

Disparities in lung function trajectories among tobacco-exposed individuals

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...
IEEE

A Multi-layer Weather Classification-based Regression Model for PV Power Prediction

Abstract: The intermittency of photovoltaic (PV) poses significant challenges to grid operation, where accurate PV power forecasting is crucial. Recent forecasting methods show low accuracy during ...
thorax.bmj

Development and validation of PRECISE-X model: predicting first severe exacerbation in COPD

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
GitHub

Action Quality Assessment via Hierarchical Pose-guided Multi-stage Contrastive Regression

Action Quality Assessment (AQA), which aims at automatic and fair evaluation of athletic performance, has gained increasing attention in recent years. However, athletes are often in rapid movement and ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
IEEE

Explainable Artificial Intelligence of Multi-Level Stacking Ensemble for Detection of Alzheimer’s Disease Based on Particle Swarm Optimization and the Sub-Scores of Cognitive ...

Abstract: Alzheimer’s disease (AD) is a progressive neurological disorder characterized by memory loss and cognitive decline, affecting millions worldwide. Early detection is crucial for effective ...
EurekAlert!

Multi-scale modelling framework predicts mechanical responses of Fe–Cr–Al alloys across composition and processing conditions

A new study published in AI Materials presents a comprehensive multi-scale computational framework capable of predicting the mechanical responses of Fe–Cr–Al alloys while incorporating both ...