A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Researchers at Central South University in China have developed a new model to improve ultra-short-term photovoltaic (PV) power prediction, as detailed in their publication in Frontiers in Energy. In ...
Georgetown University's Lombardi Comprehensive Cancer Center researchers have identified a new way to reprogram T cells, which are infection and tumor-fighting white blood cells, so that they have a ...
Veteran defensive lineman Isaiahh Loudermilk hasn’t played since Week 2 of the 2025 NFL season. But the Pittsburgh Steelers appear hopeful he could return for the team’s postseason run. The team ...
Jenessa Connor is a writer with experience writing health, fitness, and nutrition topics for publications, websites, companies, and experts in wellness spaces. Metabolism, or how the body makes energy ...
Abstract: Accurate forecasting of Downward Shortwave Radiation (DSWR) and other climate data is crucial for applications in renewable energy, agriculture, and environmental research. There are many ...
US health officials have expanded approval of a much-debated drug aimed at boosting female libido, saying the once-a-day pill can now be taken by women older than 65. The announcement Monday from the ...
Abstract: We propose a soft gradient boosting framework for sequential regression that embeds a learnable linear feature transform within the boosting procedure. At each boosting iteration, we train a ...
APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering ...
When Americans can’t afford something, Washington loves to help buyers and ignore producers. Politicians might feel as if they are improving affordability, but the strategy creates a vicious cycle: ...
ABSTRACT: The surge of digital data in tourism, finance and consumer markets demands predictive models capable of handling volatility, nonlinear dynamics, and long-term dependencies, where traditional ...
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