Revisão bibliométrica de resíduos eletroeletrônicos (REEE) no banco de dados da Web of Science: produção de grupos e principais temas

The waste of electrical and electronic equipment (WEEE) has been one of the largest and growing wastes generated in the world, turning into a great challenge for humanity. The objective of the article was to map the scientific production on WEEE in the last decade (2012–2022), adopting a bibliometric analysis as a research method based on the survey of documents obtained from the Web of Science database. A total of 278 research and review articles were selected for analysis, with the use of Vosviewer and RStudio software. As a result, there was a significant increase in the number of publications in the last decade, with 86% of articles published between 2015 and 2022. In addition, it was possible to obtain the ranking of the most important authors, and the journals most used for publication of articles; it was found that the Asian, European and American continents had the greatest contribution. In the analysis of document coupling, combined with that of keywords, the main areas connected to WEEE currently researched were found: electronic waste recycling; environmental impacts; sustainability; circular economy; efficient e-waste management and e-waste recycling technologies; in addition, the keywords “e-waste” and “polybrominated diphenyl ethers” were the most frequent words used by the authors to represent the theme. It can be concluded that the theme has stood out over the last few years, with several publications providing managerial and political implications for researchers and professionals.Os resíduos de equipamentos elétricos e eletrônicos (REEE) têm sido dos maiores e crescentes resíduos gerados em todo o mundo, tornando-se um dos grandes desafios da humanidade. O objetivo do artigo foi mapear a produção cientifica sobre REEE na última década (2012–2022), adotando como método de pesquisa uma análise bibliométrica com base no levantamento de documentos obtidos da base de dados Web of Science. O total de 278 artigos de pesquisa e revisão foi selecionado para análise utilizando o software Vosviewer e RStudio. Obteve-se, como resultado, um aumento significativo nos números de publicações na última década, com 86% dos artigos publicados entre 2015 e 2022. Além disso, foi possível obter o ranking dos autores mais importantes e revistas mais utilizadas para publicação dos artigos; constatou-se que o continente asiático, europeu e americano foram os que tiveram maior contribuição. Na análise de acoplamento de documentos, combinada com a de palavras-chaves, constataram-se as principais áreas pesquisadas atualmente em relação ao REEE: reciclagem de lixo eletrônico; impactos ambientais; sustentabilidade; economia circular; gestão eficiente lixo eletrônico e tecnologias para reciclagem lixo eletrônico. além disso, as palavras-chave “e-waste” e “polybrominated diphenyl ethers” foram as com maior frequência utilizadas pelos autores para representar a temática. Pode-se concluir que a temática tem se destacado ao longo dos últimos anos com diversas publicações, fornecendo implicações gerenciais e políticas para pesquisadores e profissionais

Bibliometric review of electro-electronic waste (WEEE) in the Web of Science database: groups’ production and main themes

The waste of electrical and electronic equipment (WEEE) has been one of the largest and growing wastes generated in the world, turning into a great challenge for humanity. The objective of the article was to map the scientific production on WEEE in the last decade (2012–2022), adopting a bibliometric analysis as a research method based on the survey of documents obtained from the Web of Science database. A total of 278 research and review articles were selected for analysis, with the use of Vosviewer and RStudio software. As a result, there was a significant increase in the number of publications in the last decade, with 86% of articles published between 2015 and 2022. In addition, it was possible to obtain the ranking of the most important authors, and the journals most used for publication of articles; it was found that the Asian, European and American continents had the greatest contribution. In the analysis of document coupling, combined with that of keywords, the main areas connected to WEEE currently researched were found: electronic waste recycling; environmental impacts; sustainability; circular economy; efficient e-waste management and e-waste recycling technologies; in addition, the keywords “e-waste” and “polybrominated diphenyl ethers” were the most frequent words used by the authors to represent the theme. It can be concluded that the theme has stood out over the last few years, with several publications providing managerial and political implications for researchers and professionals

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Photography-based taxonomy is inadequate, unnecessary, and potentially harmful for biological sciences

The question whether taxonomic descriptions naming new animal species without type specimen(s) deposited in collections should be accepted for publication by scientific journals and allowed by the Code has already been discussed in Zootaxa (Dubois & Nemésio 2007; Donegan 2008, 2009; Nemésio 2009a–b; Dubois 2009; Gentile & Snell 2009; Minelli 2009; Cianferoni & Bartolozzi 2016; Amorim et al. 2016). This question was again raised in a letter supported by 35 signatories published in the journal Nature (Pape et al. 2016) on 15 September 2016. On 25 September 2016, the following rebuttal (strictly limited to 300 words as per the editorial rules of Nature) was submitted to Nature, which on 18 October 2016 refused to publish it. As we think this problem is a very important one for zoological taxonomy, this text is published here exactly as submitted to Nature, followed by the list of the 493 taxonomists and collection-based researchers who signed it in the short time span from 20 September to 6 October 2016

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

PROPOSIÇÃO DE MELHORIAS NO SEI PARA REDUÇÃO DE PAPEL NO FINANCEIRO DO TJPE

A inovação burocrática dos serviços administrativos através do processo no Sistema Eletrônico de Informação - SEI, tornou-se possível o trabalho home office pela facilidade do acesso à rede mundial de computadores. Este trabalho tem por finalidade propor sugestões na funcionalidade do SEI como forma de políticas públicas com vistas ao crescimento sustentável nos Órgãos Públicos através da redução total do papel na Diretoria Financeira do Tribunal de Justiça de Pernambuco. A pesquisa foi realizada por 50 usuários do SEI da Diretoria Financeira do Tribunal de Justiça de Pernambuco – TJPE e formulado um levantamento dos últimos 10 anos da utilização de papel A4. O estudo foi de caráter descritivo, natureza exploratória, com levantamento bibliográfico realizado pela base de dados da Science Direct através de artigos científicos, revistas científicas, teses e dissertações relacionadas a governança e políticas públicas. O SEI demonstrou que a logística do sistema multivariável é importante para o desenvolvimento de políticas públicas e de governança através da incorporação nos bens e serviços pela avaliação do impacto ambiental no órgão público, bem como na celeridade e avanço tecnológico voltados para mitigação de danos ambientais, preocupando-se com o bem comum. A média da economia foi de 93% resmas/ano com o trabalho home office. A funcionalidade do SEI atende ao tripé da sustentabilidade do ponto de vista econômico, social e do meio ambiente através uso do sistema