Academic Articles & Research Papers

Mistreatment during facility-based childbirth in Benin City, Nigeria: A convergent mixed-methods study of prevalence and drivers.

Estimating individualized gonadotropin starting doses in women with PCOS: a target-driven machine learning model for GnRH-antagonist stimulation.

Diagnostic stage discordance and survival in T2 bladder cancer: rethinking the clinical behavior of progressive disease.

Between motivation and barriers: the inactivity - re-engagement cycle in adult women with obesity.

Identifying payment-driven patient selection using machine-learning-predicted cost risk: evidence from neonatal care in China.

Energy expenditure during treadmill walking with a commercial plantar-vibration shoe and internal-focus attentional instructions in healthy young women: an exploratory randomized crossover study.

Strengthening primary health care through FHN: randomized controlled trial on HbA1c reduction in middle aged women with T2DM in Iran.

Multi-cancer screening in peritoneal dialysis patients: an explainable machine learning framework integrating bioelectrical impedance and clinical features.

Severity and resource utilisation among trauma patients undergoing trauma team activation in four Danish trauma units: a prospective cohort study.

Treatment and outcomes of difficult-to-treat Stenotrophomonas maltophilia pneumonia in the intensive care unit: a multinational retrospective cohort study.

Time to Move Upstream? A Framework for Expanding the Focus of Freezing of Gait to Prodromal, Subclinical, and Pre-FOG Stages.

ID-Det: Insulator Burst Defect Detection from UAV Inspection Imagery of Power Transmission Facilities

The global rise in electricity demand necessitates extensive transmission infrastructure, where insulators play a critical role in ensuring the safe operation of power transmission systems. However, insulators are susceptible to burst defec...

GREEN FINANCE IN THE CONTEXT OF CLIMATE CHANGE: A BIBLIOMETRIC ANALYSIS OF THE ACADEMIC LITERATURE (2001–2025)

This article analyses the evolution, structure, and dynamics of the academic literature on green finance in the context of climate change, using a bibliometric approach applied to publications indexed in the Web of Science – Core Collec...

Accidental injustice: Healthcare AI legal responsibility must be prospectively planned prior to its adoption

This article contributes to the ongoing debate about legal liability and responsibility for patient harm in scenarios where artificial intelligence (AI) is used in healthcare.We note that due to the structure of negligence liability in Engl...

Electromagnetic Field Distribution Mapping: A Taxonomy and Comprehensive Review of Computational and Machine Learning Methods

Electromagnetic field (EMF) exposure mapping is increasingly important for ensuring compliance with safety regulations, supporting the deployment of next-generation wireless networks, and addressing public health concerns. While numerous su...

AI-enhanced professional learning communities: a new era of personalized teacher education

Language teacher education programs can become more reflective, inclusive, collaborative, situated, and inquiry-based. One such professional approach to incorporate these characters can be through personalized language teacher education (PL...

A Comparison of Several AI Techniques for Authorship Attribution on Romanian Texts

Determining the author of a text is a difficult task. Here, we compare multiple Artificial Intelligence techniques for classifying literary texts written by multiple authors by taking into account a limited number of speech parts (prepositi...

Silhouette-driven contrastive learning with hierarchical neighborhood structure for unsupervised clothes change person re-identification

This paper addresses a highly challenging yet critical task: unsupervised person re-identification (Re-ID) under clothing changes. Unfortunately, existing unsupervised person Re-ID methods are mainly designed for short-term scenarios that r...

From Promise to Peril: generative artificial intelligence's potential to deepen educational inequalities in geographically diverse contexts

PurposeThis study critically examines how van Dijk's Digital Divide Theory applies to generative artificial intelligence (GenAI) access in regional, remote and rural (RRR) educational contexts. It interrogates whether a framework designed f...

Cost-effective, open-source, automated apparatus for testing transitive inference in mice

Abstract Transitive inference is a form of reasoning that relies on prior knowledge and benefits survival in diverse species. While initially designed for humans, the transitive inference task has been adapted for mice, allowing for integra...