Apoyo social percibido y malestar psicológico en una muestra de estudiantes universitarios peruanos: Un estudio correlacional

Introduction: The present study aimed to perform a bibliometric analysis of neuroscience and noncommunicable diseases in the Scopus database between 2003 and 2023. Bibliometric analysis served as the main tool to analyze academic production.Methods: 867 papers were selected for the study based on English keywords ("neuroscience," "noncommunicable," and "diseases"). Results: The period from 2015 to 2023 accounted for 58% of the total publications, with 503 academic publications, which had the most significant influence on scientific production in terms of percentage increase. The United States accounted for 35.9% of the production. The most relevant publication sources, with n=10 each, were Neuromethods and Neuroscientist. Farooqui, A.A. obtained the most citations (105) in his four papers. Of the total number of papers, 21% were scientific articles, of which 32% pertained to medicine and 20% to neuroscience. Neuroscience and noncommunicable diseases have advanced significantly in terms of thematic variety, authorship, sources, and accessible resources.Conclusions: This bibliometric study provides a solid foundation for future research in the field of neuroscience and noncommunicable diseases, highlighting the importance of this area and its growth in the academic realm..

Bibliometric analysis of publications on neuroscience and noncommunicable diseases in the Scopus database

Espiritu-Martinez,

Espinoza-Veliz,

Espinoza-Egoavil

et al. 2024

Use of wearable technologies in health promotion in Human Medicine students

Curo Yllaconza,

Valle Elescano,

Vilchez Cuevas

et al. 2024

INTRODUCTION: In the current era marked by rapid technological advances, the integration of wearable devices into everyday life has been a remarkable phenomenon. These devices, ranging from smart watches to physical activity monitors, have gained popularity and have become ubiquitous tools that track various aspects of health and wellness. OBJECTIVE: To characterize the use of wearable technologies in health promotion in Human Medicine students. METHODS: The research is characterized by its cross-sectional and quantitative nature, with a basic and descriptive non-experimental design. The study population consisted of 128 students of Human Medicine at a private university located in Arequipa, Peru. Data collection was carried out through the use of surveys and questionnaires. RESULTS: Regarding the adoption and use of wearable technologies, 35.94% (46) reported a moderate level, 32.81% (42) indicated a high level, while 31.25% (40) indicated a low level. This finding suggests a balanced and non-extreme adoption of wearable technologies among the students examined in the context of health promotion. CONCLUSIONS: We were able to determine a moderate level of adoption and use of wearable technologies among Human Medicine students to promote health and wellness. This result points to the relevance of these technologies in health-related activities, highlighting a particular emphasis on a moderate level of use.

Deep learning in sports skill learning: a case study and performance evaluation

Lian

2024

Deep learning in sports uses neural networks to evaluate data from sensors and cameras, providing coaches and players insights to enhance training methods and performance. Sports skill development include issues with data availability, trouble interpreting methods for coaching purposes, possible financial constraints for players and regional sports teams. To overcome this, we proposed an Artificial Hummingbird Optimized XGBoost (AHO-XGB) to provide accurate predictions and analysis of an athlete's performance.In this study, the research consists of 20 faculty members and 250 learners from 3 universities.Many sports talents are currently taught to students in famous colleges and universities, but they truly become proficient in the skills. To evaluate the performance of the proposed method in terms of accuracy (92.6%), precision (90.5%), and recall (94.3%). The outcome of this research in sports skill learning transforms performance and training analysis by examining large amounts of data and offering suggestions for skill development.