Utilizing market research to inform decision-making begins with clearly identifying the objective: What specific goal am I ...
Objectives This study aimed to estimate the frequency of depression in mothers during the antepartum and postpartum periods ...
Introduction Chronic caregiving stress accelerates biological aging, reflecting disease risk and mortality; however, the ...
Abstract: Information technology growth brings vast time-series data. Despite richness, challenges like redundancy emphasize the need for time-series data fusion research. Rough set theory, a valuable ...
This study employs a mixed-methods approach to compare educational leadership paradigms in universities across China and ...
Abstract: Time series data are prevalent across various domains and often encompass large datasets containing multiple time-dependent features in each sample. Exploring time-varying data is critical ...
HOUSTON--(BUSINESS WIRE)--Toshiba International Corporation’s latest innovation in Uninterruptible Power Systems, the Toshiba 3000 SP UPS, is en route to Houston, TX and ready for customer delivery ...
The 2024 British Thoracic Society/ National Institute for Health and Care Excellence/ Scottish Intercollegiate Guidelines Network asthma guidelines recommend anti-inflammatory reliever (AIR)-based ...
The associations between short‐term exposure to ambient ozone (O 3) pollution and the risks of hospital admissions (an indicator for morbidity) for different subtypes of cardiovascular disease (CVD) ...
The AERCA algorithm performs robust root cause analysis in multivariate time series data by leveraging Granger causal discovery methods. This implementation in PyTorch facilitates experimentation on ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback