Knowledge of Brazilian Dentists about Dentoalveolar Trauma Care and their Experiences during the COVID-19 Pandemic

Objective: To assess dentists\u27 knowledge from Minas Gerais, Brazil, about dentoalveolar trauma (DT) and their experiences during the COVID-19 pandemic. Material and Methods: An online questionnaire with 34 questions was applied to collect personal data, professional training, self-assessment of experience/knowledge about DT, experience in care provided during the social distancing, and knowledge/conduct. The specific responses were evaluated based on the guidelines of the International Association of Dental Traumatology (IADT). Descriptive analysis and Pearson\u27s chi-square test were performed. The level of significance was set at p≤0.05. Results: Most professionals (97.7%) had received information on DT, and only 4.6% of the participants considered their knowledge poor or very poor. However, 92.7% felt the need for more information on the subject. Regarding experiences during the pandemic, 55.7% provided trauma care during that period. Forty percent of the consultations were performed in person, and 33.3% of the professionals noted an increase in cases during the pandemic; 56.6% reported that the frequency did not change. The overall mean number of correct answers about DT was 5.29±2.11, indicating an acceptable level of knowledge. The mean percentage of hits for the specific questions was 44.1%. Conclusion: Although the level of knowledge of the dentists evaluated was acceptable, some aspects were deficient, with the need for more information about the IADT guidelines

Knowledge of Brazilian Dentists about Dentoalveolar Trauma Care and their Experiences during the COVID-19 Pandemic

Objective: To assess dentists' knowledge from Minas Gerais, Brazil, about dentoalveolar trauma (DT) and their experiences during the COVID-19 pandemic. Material and Methods: An online questionnaire with 34 questions was applied to collect personal data, professional training, self-assessment of experience/knowledge about DT, experience in care provided during the social distancing, and knowledge/conduct. The specific responses were evaluated based on the guidelines of the International Association of Dental Traumatology (IADT). Descriptive analysis and Pearson's chi-square test were performed. The level of significance was set at p≤0.05. Results: Most professionals (97.7%) had received information on DT, and only 4.6% of the participants considered their knowledge poor or very poor. However, 92.7% felt the need for more information on the subject. Regarding experiences during the pandemic, 55.7% provided trauma care during that period. Forty percent of the consultations were performed in person, and 33.3% of the professionals noted an increase in cases during the pandemic; 56.6% reported that the frequency did not change. The overall mean number of correct answers about DT was 5.29±2.11, indicating an acceptable level of knowledge. The mean percentage of hits for the specific questions was 44.1%. Conclusion: Although the level of knowledge of the dentists evaluated was acceptable, some aspects were deficient, with the need for more information about the IADT guidelines

Microwave-assisted multicomponent synthesis of julolidines using silica-supported calix[4]arene as heterogeneous catalyst

The application of immobilizing calixarene onto the surface of silica using a sol-gel method, as an efficient heterogeneous catalyst (CX4SO3HSi(n)) for multicomponent Povarov reaction has been described. Catalytic activity of the CX4SO3HSi(n) for the synthesis of julolidines under greener and environmentally benign conditions in simple and efficient method was explored. Notably, only 0.5 mol% of the catalyst is sufficient to catalyze the Povarov solvent-free reaction under microwave-assistance. Besides, this protocol allows the construction of four new C-C bonds and two C-N bonds in a single step. To the best of our knowledge, this consists the first silica support calix[4]arene as a heterogeneous catalyst for multicomponent synthesis of julolidines.Fil: Ferreira de Paiva, Walysson. Universidade Federal de Viçosa. Departamento de Química.; BrasilFil: Bastos Braga, Ingredy. Universidade Federal de Viçosa. Departamento de Química.; BrasilFil: de Assis, João Vitor. Universidade Federal de Viçosa. Departamento de Química.; BrasilFil: Bonilla Castañeda, Sandra Milena. Universidade Federal de Viçosa. Departamento de Química.; BrasilFil: Sathicq, Ángel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Ciencias Aplicadas "Dr. Jorge J. Ronco". Universidad Nacional de la Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Ciencias Aplicadas; ArgentinaFil: Palermo, Valeria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Ciencias Aplicadas "Dr. Jorge J. Ronco". Universidad Nacional de la Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Ciencias Aplicadas; ArgentinaFil: Romanelli, Gustavo Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Ciencias Aplicadas "Dr. Jorge J. Ronco". Universidad Nacional de la Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Ciencias Aplicadas; ArgentinaFil: Natalino, Ricardo. Universidade Federal de Viçosa. Departamento de Química.; BrasilFil: da Silva, Marcio José. Universidade Federal de Viçosa. Departamento de Química.; BrasilFil: Martins, Felipe Terra. Universidade Federal de Goiás; BrasilFil: de Carvalho, Gustavo Senra Gonçalves. Universidade Federal de Juiz de Fora; BrasilFil: Amarante, Giovanni Wilson. Universidade Federal de Juiz de Fora; BrasilFil: Fernandes, Sergio Antonio. Universidade Federal de Viçosa. Departamento de Química.; Brasi

Análise geológica e geotécnica do cemitério do município de Mandaguari, Estado do Paraná

Based on the assumption that the horizontal burial of bodies and their subsequent decomposition into cemeteries can potentially cause contamination of groundwater, this work aims at the construction of a geological report for the horizontal municipal cemetery of Mandaguari (Brazil), analyzing all geological characteristics of the region where was installed this venture. Thus, the preparation of this report, was focus on the enforcement of the Resolutions 019/04 and 016/05 of the Secretary of State for the Environment and Water Resources - SEMA and the Resolution 357/05 of the National Council on the Environment - CONAMA, at the request of the Office for the Environment of Parana - IAP.Partindo-se do pressuposto que o sepultamento de corpos e a sua subseqüente decomposição em cemitérios horizontais, pode potencialmente causar a contaminação das águas subterrâneas, o presente trabalho teve por objetivo a construção de um laudo geológico para o cemitério horizontal municipal de Mandaguari (Paraná), analisando todas as características geológicas da região onde se instala este empreendimento. Assim, a elaboração deste laudo, ocorreu priorizando o cumprimento das Resoluções 019/04 e 016/05 da Secretaria de Estado do Meio Ambiente e Recursos Hídricos - SEMA e a Resolução 357/05 do Conselho Nacional do Meio Ambiente - CONAMA, a pedido do Instituto Ambiental do Paraná - IAP

PROPOSTA DE CRIAÇÃO E MANEJO DO MONUMENTO NATURAL ESTADUAL DA "PEDRA DO BAÚ"

Neste trabalho são apresentados levantamentos biofísicos e sócio-econômicos preliminares de uma área de aproximadamente 1.100 ha, tendo como ponto central o complexo Pedra do Baú, área esta que se pretende manejar como Monumento Natural Estadual. Com base nestes levantamentos, elaborou-se um zoneamento, definindo-se programas de manejo e de desenvolvimento integrado

Diagnóstico dos gases, resíduos sólidos e rejeitos das operações unitárias de duas estações de tratamento de efluentes / Diagnosis of gases, solid residues and waste from unit operations of two wastewater treatment plants

O esgotamento sanitário é um processo essencial à manutenção da saúde pública da população de um município. Nesse sentido, a falta de tratamento do esgoto resulta em problemas como o surgimento de doenças endêmicas e contaminação de recursos naturais. O objetivo desta pesquisa foi verificar e analisar a destinação e disposição final dos resíduos, gases e rejeitos oriundos do tratamento de efluentes das estações de tratamento de esgoto - ETE do município de Paragominas-PA. O método aplicado foi o dedutivo, pois, com tal processo de raciocínio é possível, partindo de uma ou mais premissas a obtenção de uma conclusão imprescindível e evidente. Esta é uma pesquisa de caráter exploratório, com aplicação de formulário semiestruturado para obtenção de respostas esclarecedoras sobre a quantidade, tipo e disposição/destinação final de resíduos gerados e retirados das estações de tratamento de esgoto em funcionamento no município de Paragominas-PA. A análise dos dados obtidos indicou a presenta em maiores proporções de efluentes, lodos e resíduos sólidos. Os resíduos sólidos juntamente com o lodo são dispostos no aterro controlado municipal, os gases passam por filtros e são dispostos na atmosfera, já os efluentes são lançados em um corpo hídrico receptor, após condições adequadas. Entretanto não se tem dados quantitativos precisos e com proposições para mitigação dos impactos a partir do quantitativo de gases, efluentes e resíduos sólidos gerados

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