Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
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Forests are breaking our climate models
Climate scientists love trees, but forests are creating a massive blind spot in our predictions. From carbon sinks to permafrost, this video reveals why our models might be way off and what that means ...
Eucalyptus trees, laden with flammable oils, could spread into Portugal's south-central region by 2060 if changing climate conditions make the area more hospitable to their growth, creating wildfire ...
Teams looking to get back on track clash when the Wake Forest Demon Deacons take on the Pittsburgh Panthers in an ACC matchup on Tuesday night. Wake Forest is coming off a 90-69 loss at Duke on ...
The final non-CFP bowl matchup will see the Wake Forest Demon Deacons facing the Mississippi State Bulldogs on Friday in the 2026 Duke's Mayo Bowl. The Bulldogs (5-7) enter in on a three-game losing ...
The study, published in Forest Ecosystems, presents a refined update to the 3-PG (Physiological Processes Predicting Growth) model. Its major innovation is adding a carbon storage pool specifically ...
It's not just Google's Gemini 3, Nano Banana Pro, and Anthropic's Claude Opus 4.5 we have to be thankful for this year around the Thanksgiving holiday here in the U.S. No, today the German AI startup ...
Using advanced 3D canopy reconstruction combined with high-resolution physiological measurements, researchers quantified how light penetration, stomatal conductance, and chlorophyll content drive ...
Abstract: Random forest (RF) is widely regarded as one of the most prevalent machine learning algorithms. To achieve higher precision, the structure of decision trees that serve as base learners in RF ...
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