This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

Objective This study aims to assess the prevalence of cancer risk factors in China’s working population and provide evidence for formulating more targeted workplace cancer prevention strategies.

Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...

Abstract: This article presents a developed algorithm applied in the microwave diagnostics of electronic density distribution. The method is specifically designed for accurately reconstructing ...

Insecticide-treated nets (ITNs) are the most impactful and cost-effective control tool against malaria. ITNs are primarily distributed through triennial mass campaigns across Africa, though overall ...

Introduction Sleep problems are an escalating global health concern, with prevalence estimates ranging from 8.3% to 45%. Physicians are disproportionately affected, with rates around 44% compared with ...

Background Primary healthcare is crucial for universal health coverage in low- and middle-income countries. While research on ...

Purpose. To determine how digital transformation (DT) generates competitive advantage in Zimbabwean SMEs—using a desk-based evidence synthesis (SLR) interpreted through Resource-Based View and Dynamic ...

Introduction The Indian healthcare system is consistently focusing on delivering equitable and affordable healthcare to its ...