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NutrIA: Development and Internal Validation of a Hybrid Clinical Decision Support System for Personalized Preventive Nutrition

Background: The growing burden of lifestyle-related chronic diseases has increased the need for clin...

From Output Errors to Workflow Harm: A Practitioner-Audit Method for LLM-Mediated Research

Objective. Formal large language model (LLM) evaluations score isolated prompts, but clinicians and ...

An Interactive, Automated 4D-STEM data acquisition and analysis routine for Scanning Electron Nanobeam Diffraction and Ptychography experiments

Modern transmission electron microscopes are versatile instruments which have become indispensable t...

How Do VLMs Behave When Blind or Misled? Behavioral Evaluation of VLMs on Scientific Figures

Existing vision-language model (VLM) benchmarks emphasize perception and reasoning accuracy (how wel...

Algorithmic Gender Prediction Is Illegitimate, But Gender Imputation Can Yield Valid Measurements

Machine learning ethics researchers and critical HCI scholars have argued that algorithmically predi...

Evaluating and Calibrating Diffusion Model-derived Uncertainty for Quantitative MRI Mapping

Quantitative MRI (qMRI) provides standardised tissue parameter maps, but the reliability of deep lea...

Towards Color-Faithful Low-Light Image Enhancement via Adaptive Color Debiasing and Saturation Rectification

Low-light imaging often introduces color bias caused by the low signal-to-noise ratio and the image ...

Conditional Independence Tests for Constraint-Based Causal Discovery: A Survey

Conditional Independence (CI) tests are the statistical engine of constraint-based causal discovery:...

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Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data

Wireless Body Area Networks (WBANs) generate multivariate physiological time series that are highly ...

Towards Valid B-Rep Generation: Training-Free Wireframe Anomaly Detection and Repair

Multi-stage boundary representation (B-Rep) generation leverages intermediate wireframes to synthesi...

Towards Valid B-Rep Generation: Training-Free Wireframe Anomaly Detection and Repair

Multi-stage boundary representation (B-Rep) generation leverages intermediate wireframes to synthesi...

CRS-Triage: Confidence- and Reliability-Aware Selective Triage under Incomplete Clinical Evidence

Emergency triage requires reliable decisions within a short time period. However, the available elec...

When Measurement Conventions Masquerade as Calibration Gains in Cardiac Digital Twins

Cardiac digital twins convert clinical images into physiological measurements through observation op...

Investigating Social Bias in Narrative Image Generation

Text-to-image (T2I) generation models are increasingly embedded in applications such as media conten...

RSC-GestureNet: Reliability-Aware Selective Causal Recognition of Chinese Traffic Police Gestures

Traffic police gestures are safety-critical perception cues for autonomous driving. A deployable rec...

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability

Ensuring trust in AI systems is essential for the safe and ethical integration of machine learning s...

A General-Purpose VLM Can Teach an Astronomy Foundation Model to Better Recognize Galaxy Morphology

Existing astronomy foundation models provide strong galaxy representations, but adapting them to new...

VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification

Aerial-ground person re-identification is a challenging task due to cross-platform viewpoint variati...

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift

RGB imagery offers a practical, low-cost option for Unmanned Aerial/Ground Vehicle (UAV/UGV) survey ...

How Bias Shapes the Leaderboard: Scoring Function Performance Under Scrutiny

Structure-based scoring functions leveraging machine learning have recently demonstrated superior pe...

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