Quality of service and citizen satisfaction in a Lima district municipality

INTRODUCTION: In recent years, there has been a convergence between Artificial Intelligence and neuroscience, particularly in studying the brain and developing treatments for neurological disorders. Artificial neural networks and deep learning provide valuable insights into neural processing and brain functioning. Recent research tries to explain how neural processes influence an individual's happiness. OBJECTIVES: To evaluate the interaction between neuroscience and happiness based on the advances in Artificial Intelligence. METHODS: A bibliometric analysis was performed with articles from the Scopus database in 2013-2023; likewise, the VOSviewer was used for information processing. RESULTS A total of 603 articles were obtained, and it is evident that the most significant scientific production is centered in the United States (184), United Kingdom (74), and China (73). Three clusters are generated from the Co-occurrence - Author Keywords analysis. The first cluster, red, is related to Artificial Intelligence applications for predicting happiness; the second cluster, green, is associated with Artificial Intelligence tools in neuroscience; and the third cluster, blue, is related to neuroscience in psychology. CONCLUSION: Neuroscience research has made significant leaps in understanding mental processes such as emotions and consciousness. Neuroscience has encountered happiness and is opening up to an approach that seeks evidence to understand people's well-being supported by Artificial Intelligence.

Interaction between neuroscience and happiness: assessment from Artificial Intelligence advances

Eslava-Zapata,

Sánchez-Castillo,

Chacón-Guerrero

2024

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

Espiritu-Martinez,

Espinoza-Veliz,

Espinoza-Egoavil

et al. 2024

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..

Status of high-impact scientific publication in nursing in Latin America

Espinoza-Véliz,

Espiritu-Martinez,

Espinoza-Egoavil

et al. 2024

INTRODUCTION: The aim of this study was to analyze the situation of high-impact scientific publication in nursing in Latin America between 2003 and 2024 OBJECTIVES: Determine Status of high-impact scientific publishing in nursing. METHODS: The method quantified scientific productivity using bibliometric data. RESULTS: A total of 298 Scopus documents were selected for the study based on relevance and English keywords (scientific AND publishing, publication AND nursing). The largest substantial growth in scientific production occurred between 2019 and 2023 (n=112; 37.6%), with Brazil as the most prominent country (n=250 publications; 83.9%). The source Revista Brasileira de Enfermagem presented 33 publications, and Marziale, M.H.P. was the most cited author (103 citations; 4 papers). Most of these papers were scientific papers (85%) in the area of nursing (61%) and medicine (20%). It is concluded that the thematic diversity, authorship, sources and resources have increased, with respect to high impact scientific publication in nursing in Latin America, which allows a broader characterization of scientific production in the region according to its impacts, visibility and importance. CONCLUSION: Thus, this bibliometric analysis provides a framework for future research documenting a key support that aspires to transform Latin American society into a more just, free and healthy state.