A saúde da população LGBTQIA+ durante a pandemia da Covid-19: Revisão sistemática e análise de redes

The Covid-19 pandemic forced countries to reorganize their funds and health services to meet the thousands of demands for care. Although contagious diseases are crossed by gender and sexuality issues, the measures to combat it did not take into account the particularities of different groups, as well as the LGBTQIA+ population. In this sense, the objective was to discuss the impacts of the pandemic on access to health services and the physical and mental health of this population, based on a systematic literature review and network analysis of studies extracted from the WoS and PubMed databases. The results were divided into three sections: “Particularities and access to health services”; “Psychiatric symptoms, psychological distress and use of psychoactive substances: country studies”; and “Network analysis”. A greater number of studies were identified in developed countries, such as the United States and Canada, and only two studies included Brazil. It was found that, in addition to the pandemic potentiating barriers to access to health services, it increased vulnerability to coronavirus infection, the rates of psychological distress and psychiatric disorders, such as depression and anxiety, and the use of licit and illicit substances, in addition to causing the weakening of social bonds.A pandemia da Covid-19 obrigou os países a reorganizarem suas verbas e serviços de saúde para atender as milhares de demandas por atendimento. Apesar das doenças contagiosas serem atravessadas por questões de gênero e sexualidade, as medidas de enfrentamento não levaram em consideração as particularidades dos diferentes grupos, como da população LGBTQIA+. Nesse sentido, objetivou-se discutir os impactos da pandemia sobre o acesso aos serviços de saúde e a saúde física e mental desta população, a partir de uma revisão sistemática da literatura e análise de redes dos estudos extraídos das bases de dados WoS e PubMed. Os resultados foram divididos em três seções: “Particularidades e acesso aos serviços de saúde”; “Sintomas psiquiátricos, sofrimento psíquico e uso de substâncias psicoativas: estudos por país”; e “Análise de redes”. Identificou-se maior número de estudos em países desenvolvidos, como Estados Unidos e Canadá, e apenas dois estudos que incluem o Brasil. Verificou-se que, além da pandemia potencializar as barreiras de acesso aos serviços de saúde, aumentou a vulnerabilidade frente à infecção por coronavírus, os índices de sofrimento psíquico e transtornos psiquiátricos, como depressão e ansiedade, e do uso de substâncias lícitas e ilícitas, além de acarretar a fragilização dos vínculos sociais

Precision Techniques and Agriculture 4.0 Technologies to Promote Sustainability in the Coffee Sector: State of the Art, Challenges and Future Trends

Precision Agriculture (PA) and Agriculture 4.0 (A4.0) have been widely discussed as a medium to address the challenges related to agricultural production. In this research, we present a Systematic Literature Review (SLR) supported by a Bibliometric Performance and Network Analysis (BPNA) of the use of A4.0 technologies and PA techniques in the coffee sector. To perform the SLR, 87 documents published since 2011 were extracted from the Scopus and Web of Science databases and processed through the Preferred Reporting Items for Systematic reviews and Meta-Analyzes (PRISMA) protocol. The BPNA was carried out to identify the strategic themes in the field of study. The results present 23 clusters with different levels of development and maturity. We also discovered and presented the thematic network structure of the most used A4.0 technologies in the coffee sector. Our findings shows that Internet of Things, Machine Learning and geostatistics are the most used technologies in the coffee sector, we also present the main challenges and trends related to technological adoption in coffee systems. We believe that the demonstrated results have the potential to be considered by researchers in future works and decision making related to the field of study

Link Between Sustainability and Industry 4.0: Trends, Challenges and New Perspectives

The increasing number of studies that underline the relationship between industry 4.0 and sustainability shows that sustainability is one of the pillars of smart factories. Through a bibliometric performance and network analysis (BPNA), this research describes the existing relationship between industry 4.0 and sustainability, the strategic themes from 2010 to March 2019, as well as the research gaps for proposing future work. With this goal in mind, 894 documents and 5621 keywords were included for bibliometric analysis, which were treated with the support of Science Mapping Analysis Software Tool (SciMAT). The bibliometric performance analysis presented the number of publications over time and the most productive journals. The strategic diagram shown 12 main research clusters, which were measured according to bibliometric indicators. Moreover, the network structure of each cluster was depicted, and the patterns found were discussed based on the documents associated to the network. Our findings show the scientific efforts are focused to enhance economic and environmental aspects and highlights a lack of effort relating the social sphere. Finally, the paper concludes the challenges, perspectives, and suggestions for the potential future work in the field of study relating to industry 4.0 and sustainability

The relationship between Project Management and Industry 4.0: Bibliometric analysis of main research areas through Scopus

Industry 4.0 has been adopted by the entire world as the fourth industrial revolution. It is also known as Advanced Manufacturing or Smart Manufacturing, and it is often used interchangeably with the notion of the digital transformation. The Industry 4.0 term is also multidimensional, and it refers to the current trends of automation, digitalization and data exchange in advanced technologies and manufacturing processes. In this respect, the project managers are seeking to understand technological changes and their impact on project management processes. With this in mind, the main objective of this contribution is to develop a bibliometric analysis to evaluate the performance and conceptual evolution of the authors and publications that are directly related to Industry 4.0 and Project Management

A Bibliometric Network Analysis of Recent Publications on Digital Agriculture to Depict Strategic Themes and Evolution Structure

The agriculture sector is one of the backbones of many countries’ economies. Its processes have been changing to enable technology adoption to increase productivity, quality, and sustainable development. In this research, we present a scientific mapping of the adoption of precision techniques and breakthrough technologies in agriculture, so-called Digital Agriculture. To do this, we used 4694 documents from the Web of Science database to perform a Bibliometric Performance and Network Analysis of the literature using SciMAT software with the support of the PICOC protocol. Our findings presented 22 strategic themes related to Digital Agriculture, such as Internet of Things (IoT), Unmanned Aerial Vehicles (UAV) and Climate-smart Agriculture (CSA), among others. The thematic network structure of the nine most important clusters (motor themes) was presented and an in-depth discussion was performed. The thematic evolution map provides a broad perspective of how the field has evolved over time from 1994 to 2020. In addition, our results discuss the main challenges and opportunities for research and practice in the field of study. Our findings provide a comprehensive overview of the main themes related to Digital Agriculture. These results show the main subjects analyzed on this topic and provide a basis for insights for future research

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

A Bibliometric Network Analysis of Recent Publications on Digital Agriculture to Depict Strategic Themes and Evolution Structure

The agriculture sector is one of the backbones of many countries’ economies. Its processes have been changing to enable technology adoption to increase productivity, quality, and sustainable development. In this research, we present a scientific mapping of the adoption of precision techniques and breakthrough technologies in agriculture, so-called Digital Agriculture. To do this, we used 4694 documents from the Web of Science database to perform a Bibliometric Performance and Network Analysis of the literature using SciMAT software with the support of the PICOC protocol. Our findings presented 22 strategic themes related to Digital Agriculture, such as Internet of Things (IoT), Unmanned Aerial Vehicles (UAV) and Climate-smart Agriculture (CSA), among others. The thematic network structure of the nine most important clusters (motor themes) was presented and an in-depth discussion was performed. The thematic evolution map provides a broad perspective of how the field has evolved over time from 1994 to 2020. In addition, our results discuss the main challenges and opportunities for research and practice in the field of study. Our findings provide a comprehensive overview of the main themes related to Digital Agriculture. These results show the main subjects analyzed on this topic and provide a basis for insights for future research