Gestão ambiental na saúde pública: conhecimento sobre gerenciamento de resíduos sólidos de serviços de saúde

Introdução: Considerando todas as etapas no manejo dos resíduos, entre as mais críticas está a da segregação pois nesta dependemos totalmente do servidor estar ciente do seu papel no processo. Objetivo: Avaliar o resultado da aplicação de um pré e pós teste sobre manejo adequado de resíduos hospitalar realizado durante treinamento com terceirizados responsáveis por este serviço. Metodologia: Pesquisa do tipo retrospectiva, descritiva, quantitativa onde a coleta de dados será baseada em informações encontradas no banco de dados da Comissão de Controle de Infecção Hospitalar-CCIH referentes ao conhecimento dos servidores sobre manejo de resíduos hospitalar. Resultados: Foi realizado treinamento para 68 servidores, destes, 87% eram do gênero feminino, a média de idade era de 41 anos, 79% tinham apenas o ensino fundamental incompleto, 87% nunca havia trabalhado com manejo de resíduo hospitalar, 75% não sabiam classificar o resíduo comum do infectante e 88% não tinham, nem mesmo, entendimento sobre o perigo ao reaproveitar os frascos de produtos de limpeza para armazenar sucos e outros alimentos. Conclusão: A inadequada segregação causada pela falta de conhecimento do servidor desencadeia prejuízos decorrentes de aumento no custo para o descarte dos resíduos, possibilidade de risco para os trabalhadores e usuários, além de danos ambientais

AVANÇOS DA OSSEODENSIFICAÇÃO NA IMPLANTODONTIA: BENEFÍCIOS CLÍNICOS, EFICÁCIA NA OSSEOINTEGRAÇÃO E PERSPECTIVAS FUTURAS.

The present study aims to critically review the advances in osseodensification in implant dentistry, analyzing its clinical benefits, effectiveness in osseointegration and exploring its future perspectives in clinical practice. An extensive literature review was carried out to identify relevant studies regarding the proposal of the present study. Electronic databases, such as PubMed, Scielo and Google Scholar, were consulted to obtain published articles. Articles were selected that directly address the topics of osseodensification, clinical benefits, osseointegration of implants and future perspectives in implant dentistry. Osseodensification demonstrates significant benefits in clinical practice, including greater primary stability of implants, reduced healing time and improved bone quality around implants. Studies show that the simultaneous compaction of cortical and trabecular bone promotes a favorable biological response, facilitating the formation and maintenance of osseointegration. Furthermore, osseodensification opens up new possibilities in immediate implant loading and guided bone regeneration, expanding the spectrum of clinical indications in contemporary implant dentistry. Advances in osseodensification represent a milestone in implant dentistry, offering professionals an effective technique to optimize clinical results and promote better predictability of dental implant treatments. The study reinforces the importance of osseodensification as a valuable tool in the therapeutic arsenal, highlighting the need for more research to consolidate its role in future clinical practices.O presente estudo possui como objetivo revisar criticamente os avanços da osseodensificação na implantodontia, analisando seus benefícios clínicos, eficácia na osseointegração e explorando suas perspectivas futuras na prática clínica. Realizou-se uma extensa revisão da literatura para identificar estudos relevantes acerca da proposta do presente estudo. Bases de dados eletrônicas, como PubMed, Scielo e Google Acadêmico, foram consultadas para obter artigos publicados. Foram selecionados artigos que abordam diretamente os temas de osseodensificação, benefícios clínicos, osseointegração de implantes e perspectivas futuras na implantodontia. A osseodensificação demonstra benefícios significativos na prática clínica, incluindo uma maior estabilidade primária dos implantes, redução do tempo de cicatrização e melhora na qualidade óssea ao redor dos implantes. Estudos evidenciam que a compactação simultânea do osso cortical e trabecular promove uma resposta biológica favorável, facilitando a formação e manutenção da osseointegração. Além disso, a osseodensificação abre novas possibilidades na carga imediata de implantes e na regeneração óssea guiada, ampliando o espectro de indicações clínicas na implantodontia contemporânea. Os avanços da osseodensificação representam um marco na implantodontia, oferecendo aos profissionais uma técnica eficaz para otimizar os resultados clínicos e promover uma melhor previsibilidade dos tratamentos com implantes dentários. O estudo reforça a importância da osseodensificação como uma ferramenta valiosa no arsenal terapêutico, destacando a necessidade de mais pesquisas para consolidar seu papel nas práticas clínicas futuras

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

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

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

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others