Effect of self-modeling and self-controlled feedback on the performance of professional swimmers and waterpolo players.

Self-modeling (SM) and self-control (SC) feedback can be presented as two solutions for learning improvement. Therefore, the aim of the present study was to investigate the effects of SM and SC feedback on 100-m freestyle performance of professional swimmers and waterpolo players. 25 elite male swimmers and waterpolo players, were randomly assigned to four groups: swimmer group with SM, swimmer group with SM and SC feedback, waterpolo players group with SM, and waterpolo players group with SM and SC feedback.

An Automatic-Segmentation- and Hyper-Parameter-Optimization-Based Artificial Rabbits Algorithm for Leaf Disease Classification.

In recent years, disease attacks have posed continuous threats to agriculture and caused substantial losses in the economy. Thus, early detection and classification could minimize the spread of disease and help to improve yield. Meanwhile, deep learning has emerged as the significant approach to detecting and classifying images.

Worldwide Research Trends for Chelates in Animal Science: A Bibliometric Analysis.

The purpose of this study was to look at research trends in the application of CTM in animal nutrition in order to identify current and emerging challenges, as well as to examine the intellectual structure of the subject. The intellectual structure of CTM was examined using keyword and reference analysis. The research community includes all research and review articles published in journals indexed in the Web of Science database during the years 1990-2022.

Age and attentional focus instructions effects on postural and supra-postural tasks among older adults with mild cognitive impairments.

Objective: The purpose of this study was to investigate the age and attentional focus instruction effects on the postural and supra-postural tasks among older adults with mild cognitive impairments.

Method: Forty healthy adults (mean age of 48.01 ± 5.

Lean, agile, resilient, and green human resource management: the impact on organizational innovation and organizational performance.

There are four paradigms of lean, agile, resilient, and green (LARG) which can promote human resource culture to create novel ideas and increase performance in organizations. This study aims to conceptualize, develop, and validate four lean, agile, resilient, and green paradigms in human resource management (HRM) context and investigates how different LARG HRM elements can affect organizational innovation and performance. In this way, a conceptual model for investigating the LARG concept in HRM is proposed.