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 ...
Objective Anxiety affects up to one-third of adults with asthma and is linked to poorer disease outcomes and reduced quality of life. This study evaluated the efficacy of therapist-guided, ...
Abstract: Expensive multiobjective optimization problems (EMOPs) are complex optimization problems exacted from real-world applications, where each objective function evaluation (FE) involves ...
The first Annual Report of SWEO is published! The 2024 Annual Report provides an update on the work and achievements of the office and highlights lessons learned from system-wide evaluation activities ...
Organizations must shift from subjective, gut-feeling cyber risk assessments to objective, data-driven evaluation using AI-powered analytics to enable strategic decision-making and business resilience ...
Evaluation/optimization framework for fatigue damage and revenue accumulation using adaptive control based on electricity prices and wind conditions. It includes the work done in the PhD thesis "Wind ...
1 Chengdu Pidu District Hospital of Traditional Chinese Medicine, Chengdu, Sichuan, China 2 Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China Background: Significant ...
The Diplomat author Mercy Kuo regularly engages subject-matter experts, policy practitioners, and strategic thinkers across the globe for their diverse insights into U.S. Asia policy. This ...
Abstract: Most existing dynamic multiobjective evolutionary algorithms assume that the real objective function evaluations are easily acquired during the optimization process. However, in some ...
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