Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data
DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
Main outcome measures Cumulative time dependent intake of preservatives, including those in industrial food brands, assessed ...
Patients who have comorbid COPD with heart failure and ischemic heart disease have increased health care resource use and higher mortality.
Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...
Even if unusual recent global warmth can be mostly attributed to a combination of El Niño, falling SO2 emissions, the Hunga ...
The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...
Highlights Confirmation of Adelita as a large porphyry-skarn mineral system with vertically extensive feeder structures ...
A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.
Vancouver, B.C. – Jan 8, 2026 ‐ TheNewswire - Forty Pillars Mining Corp. (CSE: PLLR) (the “Company” or “Forty Pillars”) is ...
Although the vast majority of physicians using an artificial intelligence (AI) scribe perceived a reduction in documentation time, those with the most actual time savings had higher relative baseline ...
Association between Modified Cardiometabolic Index and Incident Cardiovascular Disease in Middle-Aged and Elderly Chinese ...
Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results