The rapid adoption of electric vehicles (EVs) has introduced significant challenges in planning and optimizing charging infrastructure, especially along extensive road networks. This paper presents a ...
Abstract: The natural process of genetic development in living organisms is analogous to the growth of genetic algorithms, an intelligent bionic algorithm with tremendous potential for global ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
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How F1 aerodynamicists chase milliseconds through constant updates
Formula 1 teams live in a world where a single misjudged flick of carbon fiber can decide a championship. Aerodynamicists are ...
Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
The publication unveiled its annual selection of the most significant scientific and technological breakthroughs from the ...
A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
Process Lasso is a powerful system optimization tool for Windows that improves PC performance by automatically managing process priorities. Process Lasso is an advanced system utility designed to ...
Cell-line development enhances biopharmaceutical production capacity and quality, but complex biologics like bsAbs and ADCs present new challenges.
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