Implementation and Evaluation of a 10-Week Kettlebell Training Load Distribution on Strength and Aerobic Capacity in Recreationally Trained Women.

Objective: : The purpose of this study was to characterize the dynamic distribution of training loads in a kettlebell program and evaluate its effects on muscle strength and aerobic capacity.

Methods: Fourteen recreationally active women with no kettlebell training experience (age: 25.86 ± 5.

Evaluation of the Food Literacy Project's "Nourishing Food Literacy, Community Health and Sense of Place in Louisville, Kentucky" Initiative.

Background And Objectives: Community-based organizations, such as Food Literacy Project, Inc. (FLP), focused on cultivating food justice through increasing access to healthy foods in under-resourced areas are uniquely positioned to positively affect the nutrition landscape. This article reports on an evaluation of FLP's efforts in implementing food justice programming.

Return to Sport After Treatment of Stable Osteochondritis Dissecans Lesions of the Knee in Adolescents: A Systematic Review.

Background: Treatment of stable osteochondritis dissecans (OCD) lesions of the knee in young patients poses the challenge of abstaining from competitive sports for months. Outcomes relevant to this patient population additionally include successful return to sport (RTS), return to the same level of sport, and the time needed to achieve both.

Purpose: To evaluate the adolescent population for RTS outcomes after treatment of stable OCD lesions of the knee and to compare RTS outcomes between patients treated nonoperatively and those who required surgery.

Implementation of Principal Component Analysis (PCA)/Singular Value Decomposition (SVD) and Neural Networks in Constructing a Reduced-Order Model for Virtual Sensing of Mechanical Stress.

This study presents the design and validation of a numerical method based on an AI-driven ROM framework for implementing stress virtual sensing. By leveraging Reduced-Order Models (ROMs), the research aims to develop a virtual stress transducer capable of the real-time monitoring of mechanical stresses in mechanical components previously analyzed with high-resolution FEM simulations under a wide range of multiple load scenarios. The ROM is constructed through neural networks trained on Finite Element Method (FEM) outputs from multiple scenarios, resulting in a simplified yet highly accurate model that can be easily implemented digitally.