Breast cancer risk is a central concern in shared decision-making when considering menopausal hormone treatment (MHT). Women spend approximately 40% of their lives in menopause, and climacteric ...

Abstract: This paper proposes a deep reinforcement learning scheme for the primary frequency response of floating offshore wind turbines (FOWTs). Considering the fact that current FOWT simulators ...

Abstract: Simultaneously optimizing monetary cost and makespan of workflow execution is substantial to enhance the competitiveness of cloud services, but it still imposes challenges. Heuristics-based ...

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and adaptive locomotion in simulation.

Background: Mendelian randomization (MR) has become a tool for the rapid and accurate identification of genetic relationships between phenotypes. However, owing to the lack of rigorous and standard ...

Introduction: The purpose of this study was to assess whether bench press load-velocity (L-V) relationship variables serving as indicators of maximal theoretical force capacity (L 0), maximal ...

There is debate on the link between dietary fiber intake and stroke risk. The purpose of this study was to look at how it impacts dietary fiber intake and stroke risk, as well as mortality among ...