Urinary Incontinence

Understanding compulsive generative AI use among college students through a dual system perspective: An integrated SEM-ANN-NCA approach.

The powerful capabilities of generative artificial intelligence (GAI) have propelled its adoption in higher education in recent years. GAI offers considerable benefits, but its rapid integration has prompted growing concerns regarding compulsive GAI use, characterised by persistent and uncontrollable engagement. Compulsive GAI use has been linked to adverse psychological and academic outcomes, und...

Interpretable control rules derived from model predictive control for real-time control in stormwater management.

Real-time control of stormwater systems improves flood resilience, yet optimization-based methods, such as model predictive control (MPC), remain difficult to implement due to high computational demands and limited operational transparency. As a result, cities continue to rely on rule-based control (RBC), despite the lack of standardized approaches for deriving effective rule sets. This study intr...

Reassessing the validity of AI cephalometric landmark identification: an analytical perspective on Ye et al. (2023).

To provide the public and non-specialist readers with clear insight, we re-evaluate a published study claiming that artificial intelligence (AI) softw...

Evolving optimal text clusters: A novel GA-driven framework for dynamic ensemble fusion of multi-model contextual embeddings.

Text clustering is an essential activity in unsupervised natural language processing (NLP), and allows the automatic structure of large-scale textual ...

Advancing emergency medicine across Asia: a roadmap for leadership, collaboration, and digital transformation.

Emergency medicine has evolved from an emerging discipline to a formally recognised specialty across much of Asia over the past four decades. Adoption...

Measuring Return on Investment for Professional Development Activities: 2026 Known Cost of Outcomes Table and Generative AI Implications.

Over the past decade, nursing professional development practitioners (NPDPs) have advanced efforts to measure the economic impact of educational activ...

Chaotic and complex dynamics expose the limits of counterfactual reasoning.

Counterfactual reasoning, a cornerstone of human cognition and decision-making, is often seen as the "holy grail" of causal learning, with application...

Overrepresentation Bias Leads to Performance Overestimation in Blood-Brain Barrier Permeability Prediction Models: Characterization and Mitigation.

Recent advancements in blood-brain barrier permeability (BBBP) prediction of drug compounds have highlighted the growing role of machine learning, par...

Pharmacological Incongruity of Lacosamide in the Management of Delirium Complicated by Ileus.

Delirium involves neurotransmitter imbalances and disrupted neural networks. Although lacosamide may theoretically treat delirium by reducing neuronal...

HIV and Substance Use Reduction for Youth Experiencing Homelessness: Development and Usability Study.

BACKGROUND: Youth experiencing homelessness face heightened vulnerability to HIV infection and substance use due to complex structural, psychosocial, ...

dAMN: a genome-scale neural-mechanistic hybrid model to predict bacterial growth dynamics.

SUMMARY: This study presents dAMN, a genome-scale neural-mechanistic hybrid model that combines neural networks with dynamic flux balance analysis to ...

The stack overflow recommendations dataset (SORD) - A large-scale curated dataset of recommendations related stack overflow questions, answers and comments.

Developer discussions particularly on programming related questions answering (Q&A) sites, contain useful information, which, if mined and analysed ca...

Integrating Artificial intelligence within sustainable smart analytical chemistry for analyzing the divisor impact on UV-spectrophotometric efficiency of solifenacin and mirabegron combination.

This study examines the influence of divisor selection on the efficacy of advanced analytical spectrophotometric methods that integrate artificial int...

Predicting student mental health through entropy-based features and interpretable cross-attention transformer networks.

Mental health is becoming a major concern for students in today's fast-changing world. Mental health challenges have impact on every aspect of life in...

A knowledge-based deep learning model for accurate urban drainage system prediction under spatiotemporally variable rainfall.

Accurate and rapid prediction of water levels in urban drainage systems remains a key challenge due to sparse sensor coverage, complex hydraulic inter...

It Is the Journey, Not the Destination: Moving From End Points to Trajectories When Assessing Chatbot Mental Health Safety.

Large language models are rapidly becoming embedded in everyday life through artificial intelligence (AI) chatbots that people use for practical assis...

NeuroMix-DL: Improving imaging quality of a fast multiparametric MRI protocol using deep learning.

PURPOSE: To improve the quality of a fast multi-contrast MR protocol acquisition using deep learning. MATERIALS AND METHODS: 350 patients (age: 64 ± 1...

Towards "greener" strategies in quality control: rapid volatilomics of cocoa based on HS-GC-IMS and machine learning.

Gas chromatography-ion mobility spectrometry (GC-IMS) has emerged as a powerful analytical platform in quality control of food, beverages, and flavor ...

Deep Robust Reversible Watermarking.

Robust Reversible Watermarking (RRW) enables perfect recovery of cover images and watermarks in lossless channels while ensuring robust watermark extr...

Prioritizing neglected food species in nutritional studies using expert-knowledge and explainable AI.

Food biodiversity is vital for human health and the development of sustainable food systems. However, research on neglected and underutilized species ...