Análise das propriedades mecânicas em concreto para pavimento rígido com a inserção de resíduo de garrafão de água como agente de reforço da matriz / Analysis of mechanical properties in concrete for rigid pavement with water bottle waste as a reinforcement agent in the matrix

No presente estudo, compósitos com matriz cimentícia destinados a pavimento rígido foram produzidos, com fibras produzidas a partir do rejeito de garrafão de água de polipropileno geradas após a extrusão do mesmo em uma fábrica de reciclagem. A partir de um traço padrão foram elaborados concretos com adições de 0%, 0,5%, 1,0% e 2,0% de resíduo de GA, e outro para efeito comparativo com a inserção de 0,5% (orientação do fabricante) de microfibras comerciais de polipropileno). Avaliou-se as características mecânicas do concreto na compressão simples, tração por compressão diametral e módulo de elasticidade nas idades de 28, 56 e 84 dias. Ainda, foram realizadas análises de microscopia eletrônica por varredura (MEV) para as mesmas idades. De forma geral, os resultados apresentados demonstraram que o concreto reforçado com fibra de GA obteve um bom desempenho dentro das características analisadas, indicando a aplicabilidade e a demanda de novas investigações.

VARIABILIDADE DOS ATRIBUTOS FÍSICOS DO SOLO E DA PRODUTIVIDADE DE MANDIOCA NO SUL CATARINENSE

Em anexo

Occurrence of pests and diseases in cactus pear genotypes / Ocorrência de pragas e doenças em genótipos de palma forrageira

The objective was to evaluate the occurrence of pests, diseases and mortality rate in nine genotypes of cactus pear (Nopalea cochenillifera) destined for forage production. The genotypes were implanted in a complete randomized block design, with nine treatments and three replications. After 330 days of cultivation, the occurrence of pests and diseases and verification of plant mortality were carried out. Among all the pests and diseases observed in this experimental trial, the most prevalent disease regardless of the evaluated genotype was the anthracnose stain “Colletotrichum gloeosporioides” (49.20%) and the less frequent diseases were the resine “Dothiorella ribis” (6.87%) and soft rot “Erwinia carotovora” (2.58%). The only occurrence pest was the cochineal in scales “Diaspis echinocacti” (22.69%). The Texas (V13) and Negro Michoacan (F07) genotypes showed the highest occurrence of pests and diseases, from 50% of the total plants, followed by anthracnose stain and cochineal in scales. On the contrary, the genotypes Tamazunchale (V12) and California (V14) were not affected by any pest or disease. It was observed that the genotypes Nopalea Uruapan (V20) and Blanco San Pedro (V19), had a lower occurrence of pests and diseases, less than 20% of the total plants. The genotypes that presented the highest mortality rate were Texas (V13), Blanco San Pedro (V19) and Polotitlan (V09), with 80, 70 and 65% mortality rate, respectively. The genotypes Nopalea Uruapan (V20) and California (V14) had the lowest mortality rate (20 and 35%), respectively. The genotypes that were least affected by pests and diseases and had the lowest mortality rate are Tamazunchale (V12), California (V14) and Nopalea Uruapan (V20)

ENGAGEMENT E QUALIDADE DO SONO E MAIS CONEXÕES DO BURNOUT ACADÊMICO.

Resumo: Objetivo: Deste estudo foi analisar a prevalência do engagement que condiz com sintomas positivos da síndrome de burnout  e correlacionar com a qualidade do sono e variáveis sociodemográficas. Métodos: Trata-se de um estudo transversal realizado na Universidade de Rio verde utilizando-se de um instrumento construído pelo próprio autor e o segundo instrumento UWES-S – Utrecht Work Engagement Scale-Student que mensura o e correlacionar com dados do instrumento sociodemográfico próprio juntamente com o instrumento PSQI- Pittsburgh Quality Sleep index que permite evidenciar alterações no sono. Resultados: Foram analisados 228 questionários de alunos da graduação agrupados em 4 grande áreas( Humanas, Saude, Exatas e Agrarias), verificou-se uma maior média 3,51 ±6,2 no grupo da saúde pelas as relação das medias pelo teste T-student sob a esfera “vigor” do UWES-S notou-se diferença estatística entre o sexo masculino (ρ=0,03), na comparação por areas com as  esfera do UWES-S houve diferenças nas esferas da “Dedicação” quando comparado as áreas de Saúde x Agrarias(p=0,00) e Saúde x Humanas, na esfera da “Absorção” observou-se diferença estatísticas quando comparado Saúde x Agrarias (p=0,00) e Saúde x Exatas ( p=0,04).Não houve diferença estatística quando comparado o PSQI com o demais dados. Conclusão: O engajamento como constructo é recente no Brasil. Seu conhecimento possibilitou um novo olhar sobre o contexto acadêmico,porém nescessita de  pesquisas adicionais para investigar como os diferentes fatores que afetam o desgaste do estudante e o envolvimento no estud

O IMPACTO DO USO DE AGROTÓXICO NA AGRICULTURA E OS PROBLEMAS DE SAÚDE PÚBLICA: UMA REVISÃO

In Brazil, the agricultural sector is one of the main bases of the economy, both for agribusiness in the production of commodities for export, and for family farming in food production, both with growth prospects. Due to large exports, food production had to be faster, using pesticides and harming human and environmental health. The objective of this article is to understand the impact that the use of pesticides has on the rural population and the problems that it can cause to public health. This is an integrative literature review study, which used the VHL, LILACS and Medline as the search database. Only ten articles were found, therefore only eight were selected. These studies were published between the years 2018 and 2023. The more exposed to the pesticide, the greater the risk of developing some pathology, be it unidentified poisoning, hematological problems with an insistent cause, cancer, degenerative disease, among other causes.No Brasil, o setor agropecuário é uma das principais bases da economia, tanto pelo agronegócio na produção de commodities para exportação, quanto pela agricultura familiar na produção de alimentos, ambos com perspectiva de crescimento. Devido as grandes exportações, a produção de alimentos teve que ser mais rápida fazendo o uso de agrotóxico e prejudicando a saúde humana e ambiental. O objetivo deste artigo é compreender o impacto que o uso de agrotóxico causa na população rural e os problemas que a mesma pode trazer a saúde pública. Trata-se de um estudo do tipo revisão de literatura integrativa, que teve a BVS, LILACS e Medline, como base de dados de busca.  Foram encontrados apenas dez artigos, portanto apenas oito foram selecionados. Estes estudos foram publicados entre os anos de 2018 a 2023. Quanto mais expostos ao agrotóxico maior será o risco de desenvolver alguma patologia seja uma intoxicação não identificada, problemas hematológicos com causa insistente, câncer, doença degenerativa, entre outras causas

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