Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...
Objective We evaluated the long-term association between the COVID-19 pandemic and the language development of children aged ...
Introduction While a large proportion of buccal mucosa cancer (BMC) is attributed to tobacco use, the contribution of alcohol is little-known. In India, alcohols include internationally-recognised ...
Introduction: Acute polymicrobial sepsis is a life-threatening emergency caused by the body’s immune response to bloodstream infection by two or more microbes. Early detection and management of sepsis ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December 2022: ...
The forecasts will offer a glimpse of the path for policy at a highly uncertain moment for economy — and the central bank. By Colby Smith Federal Reserve officials are scheduled to release a fresh set ...
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 ...
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 ...
Organizational Justice, Distributive Justice, Procedural Justice, Team Performance Share and Cite: Shehzad, M. (2025) ...
Hybrid Anomaly Detection via Multihead Dynamic Graph Attention Networks for Multivariate Time Series
Abstract: In the real world, a large number of multivariate time series data are generated by Internet of Things systems, which are composed of many connected sensing devices. Therefore, it is ...
Abstract: Multivariate time series classification (MTSC) based on deep learning (DL) has attracted increasingly more research attention. The performance of a DL-based MTSC algorithm is heavily ...
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