3 research outputs found
Revisão cientométrica das pesquisas de enfermagem sobre gestão da dor
Objetivo: analizar artÃculos de investigación sobre dolor y temas de enfermerÃa, utilizando metodologÃas bibliométricas y cienciométricas. Método: se analizaron los artÃculos en la base de datos Web of Science que contenÃan dolor y enfermero y dolor y enfermerÃa, usando métodos cienciométricos, a través de técnicas de visualización de datos y análisis avanzado de textos. Resultado: entre los 107.559 artÃculos de investigación encontrados en el campo de la enfermerÃa, 3.976 de ellos fueron escritos con base en las palabras clave dolor y enfermerÃa, y fueron considerados en conformidad con el ámbito de aplicación de este estudio. Los análisis preliminares indicaron que las publicaciones han aumentado a través de los años, con pequeñas fluctuaciones. Los tÃtulos, las palabras clave y los resúmenes se analizaron mediante análisis de texto para revelar agrupaciones de palabras clave y estructuras de temas. Los estudios sobre oncologÃa y dolor en el campo de la enfermerÃa tienen una frecuencia relativamente más alta. Conclusión: los resultados de los análisis revelaron las caracterÃsticas de la literatura actual en una amplia gama de áreas, teniendo en cuenta dimensiones especÃficas. Por lo tanto, los resultados presentados en este estudio pueden respaldar investigaciones actuales y futuras en este campo, proporcionando información sobre redes, tendencias y contenidos de la literatura en cuestión.Objetivos: analisar artigos cientÃficos sobre dor e enfermagem, utilizando metodologias bibliométricas e cienciométricas. Método: artigos do banco de dados Web of Science que continham dor e enfermeiro e dor e enfermagem foram analisados utilizando métodos cientométricos, através de técnicas de visualização de dados e análise avançada de textos. Resultado: dos 107.559 artigos cientÃficos encontrados na área de enfermagem, 3.976 deles foram escritos com base nas palavras-chave dor e enfermagem, e foram considerados em consonância com o âmbito de aplicação deste estudo. As análises preliminares indicaram que as publicações têm aumentado ao longo dos anos, com pequenas flutuações. TÃtulos, palavras-chave e resumos foram analisados através de análise de texto para revelar agrupamentos de palavras-chave e estruturas de temas. Estudos sobre oncologia e dor no campo da enfermagem têm uma frequência relativamente maior. Conclusão: os resultados das análises revelaram as caracterÃsticas da literatura atual em uma ampla gama de áreas, considerando-se dimensões especÃficas. Portanto, os resultados podem respaldar pesquisas atuais e futuras neste campo, proporcionando informações sobre redes, tendências e conteúdos da literatura em questão.Objective: to analyse research articles on pain and nursing issues using bibliometric and scientometric methodologies. Method: articles in the Web of Science database containing pain and nurse and pain and nursing were analyzed using scientometric methods through data visualization techniques and advanced text analytics. Result: among the 107,559 research articles found in the field of nursing, 3,976 of them were written based on the keywords pain and nursing, and were considered in conformity with the scope of this study. Preliminary analyses indicated that the publications have increased through the years with minor fluctuations. Titles, keywords, and abstracts were analyzed through text analytics to reveal keyword clusters and topic structures. Studies on oncology and pain in the field of nursing have a relatively higher frequency. Conclusion: the results of the analyses revealed the characteristics of the current literature in a broad range of areas by considering the particular dimensions. Therefore, the findings may support present and future research in this field by shedding light on the networks, trends, and contents in the related literature
Scientometric overview of nursing research on pain management
ABSTRACT Objective: to analyse research articles on pain and nursing issues using bibliometric and scientometric methodologies. Method: articles in the Web of Science database containing pain and nurse and pain and nursing were analyzed using scientometric methods through data visualization techniques and advanced text analytics. Result: among the 107,559 research articles found in the field of nursing, 3,976 of them were written based on the keywords pain and nursing, and were considered in conformity with the scope of this study. Preliminary analyses indicated that the publications have increased through the years with minor fluctuations. Titles, keywords, and abstracts were analyzed through text analytics to reveal keyword clusters and topic structures. Studies on oncology and pain in the field of nursing have a relatively higher frequency. Conclusion: the results of the analyses revealed the characteristics of the current literature in a broad range of areas by considering the particular dimensions. Therefore, the findings may support present and future research in this field by shedding light on the networks, trends, and contents in the related literature
A special purpose multi-criteria heuristic function for a single machine scheduling problem with forward dynamic programming
Sequencing is one of the major research areas in increasing manufacturing productivity. In case of multiple items to be manufactured using multiple processes, complex sequencing may also be considered as a queuing problem where the products are processed with respect to the priorities which can be developed by static and dynamic fashion depending on nature of the problem. In this paper, a dynamic priority approach is incorporated for a group-based single machine scheduling problem using multi-criteria decision-making technique regarding setup times and machine utilization. After running the model, sequences of groups are obtained and schedule is developed with respect to priorities. Results are satisfactory as compared to random process and existing implementation within the company