Objective This prospective longitudinal study of a general population sample investigates whether maternal experience of out-of-home care (OHC) constitutes an independent risk factor for the ...

Background Foodborne diseases are an important cause of global morbidity and mortality, particularly among children who often ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Background We investigated the prevalence, temporal trends and associated factors of overweight and obesity among adults in ...

Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

Flock Safety cameras are now fixtures in the region, and while law enforcement touts their crime fighting boost, the ...

In a quiet corner of an ancient riverbed on Mars, a speckled rock has pushed the search for extraterrestrial life into its most tantalizing phase yet. NASA now says the layered stone, drilled by the ...

Code for our SIGKDD'25 paper: "BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models". The advent of universal time series forecasting models has revolutionized zero-shot ...

In this tutorial, we build an advanced agentic AI system that autonomously handles time series forecasting using the Darts library combined with a lightweight HuggingFace model for reasoning. We ...

ABSTRACT: High retention and low graduation rates are the most often cited challenges of doctoral education in the United States. Research has indicated that about 40% - 60% of students enrolled in ...

Time-series data—measurements collected at regular intervals, like stock prices or traffic flows—has become a key driver of intelligent decision-making systems across industries. From medical ...