Recursos Multimídia no Processo de Ensino-Aprendizagem:

A utilização de recursos multimídia no processo educacional vem ganhando maior espaço, suscitando dúvidas quanto a sua eficácia. O objetivo deste estudo é investigar se o desempenho dos alunos com aulas suportadas com recursos multimídias diferem dos alunos com aulas tradicionais. É um quase-experimento, os participantes são alunos de Ciências Contábeis. Para verificar se o desempenho difere realizou-se o Teste t. Os resultados sugerem que os recursos multimídia não influenciam na aprendizagem da teoria, onde as aulas são essencialmente expositivas. Em relação às aulas práticas, as turmas apresentaram diferenças significativas. &nbsp

Correlação fisiopatológica de infartos agudos do miocárdio em idosos pela COVID-19

RESUMOA Covid-19 é uma infecção respiratória aguda, ocasionada pelo novo coronavírus SARS-CoV-2, que possui alta transmissibilidade, com maior probabilidade de desenvolver complicações em pacientes com fatores de risco. As manifestações clínicas do vírus assemelham-se com a gripe, mas podem causar consequências  a longo prazo, como o infarto agudo do miocárdio (IAM), principalmente no público idoso, que é uma população de alto risco. Recentemente, o alto número de estudos sobre a doença e seus obstáculos, tem permitido o diagnóstico precoce, rápido e preciso, facilitando o tratamento e evitando danos futuros. A presente pesquisa trata-se de uma revisão de literatura integrativa, quantitativa, em que houve a busca bibliográfica em: publicações científicas em revistas de alto fator de impacto, usando bancos de dados PubMed, Scientific Electronic Library Online (SciELO) e Cochrane Library no período de 2020 a 2023. Foi analisado que pacientes que adquirem o vírus da Covid-19, possuem maior predisposição de desenvolver infarto agudo do miocárdio e esse risco é aumentado em pacientes idosos,sendo que essa relação tem característica fisiopatológica. Portanto, constata-se que há maior incidência de IAM em pacientes idosos após a contaminação do vírus da Covid-19. &nbsp

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

NEOTROPICAL XENARTHRANS: a data set of occurrence of xenarthran species in the Neotropics

Xenarthrans – anteaters, sloths, and armadillos – have essential functions for ecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosystem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts with 24 domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, ten anteaters, and six sloths. Our dataset includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae (3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data on Dasypus pilosus (Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized, but new genetic studies have revealed that the group is represented by seven species. In this data-paper, we compiled a total of 42,528 records of 31 species, represented by occurrence and quantitative data, totaling 24,847 unique georeferenced records. The geographic range is from the south of the USA, Mexico, and Caribbean countries at the northern portion of the Neotropics, to its austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n=5,941), and Cyclopes sp. has the fewest (n=240). The armadillo species with the most data is Dasypus novemcinctus (n=11,588), and the least recorded for Calyptophractus retusus (n=33). With regards to sloth species, Bradypus variegatus has the most records (n=962), and Bradypus pygmaeus has the fewest (n=12). Our main objective with Neotropical Xenarthrans is to make occurrence and quantitative data available to facilitate more ecological research, particularly if we integrate the xenarthran data with other datasets of Neotropical Series which will become available very soon (i.e. Neotropical Carnivores, Neotropical Invasive Mammals, and Neotropical Hunters and Dogs). Therefore, studies on trophic cascades, hunting pressure, habitat loss, fragmentation effects, species invasion, and climate change effects will be possible with the Neotropical Xenarthrans dataset