Obtención de documentos de investigación sobre la competitividad de las pequeñas y medianas empresas: un enfoque basado en las redes de autores

This study aims to present a scientometric analysis, based on author’s network maps, to determine the most influential and relevant authors with papers published about the subject Small- and medium-sized enterprises, competitiveness and its measurement, including the use of key performance indicators. Academic research relies on the prospection to retrieve the most relevant research studies and establishing links to authors from key international research groups. To facilitate this study, we used the Scopus and Web of Science databases research results, due to the significant number of indexed scientific articles. The extracted data were compiled and analysed through author’s networks using the statistical software Sci2 Tool, which supports temporal, geospatial, topical, and networks analysis. This study also attempts to point out the research trends and gaps in this area. Results obtained are illustrated by maps of author’s networks that reveal the main authors and research subject groups, thereby enhancing access to information from a scientific approach.Este estudio tiene como objetivo presentar un análisis cientométrico, basado en mapas de redes de autores, para determinar los autores más influyentes y relevantes con trabajos publicados sobre el tema Pequeñas y medianas empresas, la competitividad y su medición, incluido el uso de indicadores clave de rendimiento. La investigación académica se basa en la prospección para recuperar los estudios de investigación más relevantes y establecer vínculos con autores de grupos de investigación internacionales clave. Para facilitar este estudio, utilizamos los resultados de la investigación de las bases de datos Scopus y Web of Science, debido a su número significativo de artículos científicos indexados. Los datos extraídos fueron compilados y analizados a través de redes de autores utilizando el software estadístico Sci2 Tool, que es compatible con el análisis temporal, geoespacial, tópico y de redes. Este estudio también intenta señalar las tendencias de investigación y las brechas en esta área. Los resultados obtenidos se ilustran mediante mapas de redes de autores, que revelan los principales autores y grupos de temas de investigación, mejorando así el acceso a la información de una manera científica

Aplicação da Termografia por Infravermelho para Titulações Termométricas

The aim of this study was to demonstrate the potential of the use the infrared thermography for monitoring chemical reactions. In this study a camera in the infrared was used to temperature monitoring in neutralization reactions, presenting satisfactory results to thermometric titration and determination the heat (enthalpy) of neutralization. Besides of temperature results, the camera produces a record of all the procedure used, which can be extracted thermal images for further analysis. DOI: http://dx.doi.org/10.17807/orbital.v7i2.68

Data Mining in Healthcare: Applying Strategic Intelligence Techniques to Depict 25 Years of Research Development

In order to identify the strategic topics and the thematic evolution structure of data mining applied to healthcare, in this paper, a bibliometric performance and network analysis (BPNA) was conducted. For this purpose, 6138 articles were sourced from the Web of Science covering the period from 1995 to July 2020 and the SciMAT software was used. Our results present a strategic diagram composed of 19 themes, of which the 8 motor themes (‘NEURAL-NETWORKS’, ‘CANCER’, ‘ELETRONIC-HEALTH-RECORDS’, ‘DIABETES-MELLITUS’, ‘ALZHEIMER’S-DISEASE’, ‘BREAST-CANCER’, ‘DEPRESSION’, and ‘RANDOM-FOREST’) are depicted in a thematic network. An in-depth analysis was carried out in order to find hidden patterns and to provide a general perspective of the field. The thematic network structure is arranged thusly that its subjects are organized into two different areas, (i) practices and techniques related to data mining in healthcare, and (ii) health concepts and disease supported by data mining, embodying, respectively, the hotspots related to the data mining and medical scopes, hence demonstrating the field’s evolution over time. Such results make it possible to form the basis for future research and facilitate decision-making by researchers and practitioners, institutions, and governments interested in data mining in healthcare