In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...
Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...
Body Frame,Covariance Matrix,Electromagnetic Interference,Exponential Map,Extended Kalman Filter,Filtrate Solution,Global Navigation Satellite System,Gravitational ...
Abundant Species,Artificial Intelligence Training,Bit Error,Bit Error Rate,Bit Error Rate Performance,Channel Parameters,Channel State,Decimal Number,Decision Rules ...
Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...
A large Danish study recently provided reassurance that aluminum-containing vaccines are not associated with increased rates ...
The digital asset rallied toward the $3.00 threshold on explosive volume before consolidating, as traders positioned around upcoming macro catalysts and ETF rulings. Support has held firm above $2.88, ...
The body has an intricate system to defend against infections where each type of immune cell plays a distinct role. Now, a study led by researchers from the Penn State College of Medicine has ...
Atrial fibrillation (AF) is the most common sustained arrhythmia, with a rising global burden. While previous studies have ...
The distribution of an arbitrary linear combination of Student-t random variables with odd degrees of freedom is derived. An easy method of expressing this distribution as a mixture of t-distributions ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
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