Série de casos: avaliação de uma intervenção baseada em Mindfulness no estresse percebido e qualidade de vida de estudantes de medicina: Case series: evaluation of a Mindfulness-based intervention in perceived stress and quality of life of medical students

Introdução: estudantes universitários estão submetidos ao estresse resultante da sobrecarga de atividades curriculares e da constante pressão no ambiente acadêmico, o que pode gerar efeitos negativos nos estudos, no estado emocional e na saúde. O protocolo Mindfulness Based Stress Reduction (MBSR) tem demonstrado efeitos positivos para reduzir os sintomas associados ao estresse. Objetivos: avaliar os impactos do curso “Programa On-line de Qualidade de Vida Baseado em Mindfulness” na redução do estresse e na melhora da qualidade de vida em uma amostra de estudantes de medicina. Método: trata-se de uma pesquisa descritiva, exploratória e transversal, de amostragem do tipo “por conveniência”, que recrutou 33 graduandos em medicina da Univaço (Ipatinga, MG). Foram quantificados escores de qualidade de vida, estresse percebido, atenção e consciência plenas, facetas de Mindfulness e autocompaixão, antes e após participarem de um curso on-line de Mindfulness, com duração de 8 semanas. Resultados: a amostra apresentou média de idade de 22,6 anos na pré-intervenção e de 21,8 na pós-intervenção, predomínio do sexo feminino (pré-intervenção: 66,7% e pós-intervenção: 87,5%), prevalência de graduandos do 2° ano do curso na pré-intervenção (33%) e 4° ano do curso no pós-intervenção (50%) e preponderância de indivíduos solteiros (pré-intervenção: 93,9% e pós-intervenção: 100%). Houve diminuição da média de estresse percebido (36,3 para 23,6: redução de 34,9%) e das facetas de Mindfulness (122,7 para 120.5: redução de 1,8%), além de um aumento do escore total de qualidade de vida (67,6 para 78,8: ganho de 16,6%), da atenção e consciência plenas (47,5 para 60,0: ganho de 26,3%) e da autocompaixão (71,5 para 83,3: ganho de 16,3%). Conclusão: a presente pesquisa contribui para perspectivas de que as práticas de Mindfulness estão diretamente relacionadas à diminuição dos níveis de estresse e, consequentemente, a uma melhora da qualidade de vida de estudantes universitários

Experiência, teoria e ação : práticas pedagógicas de ensino de língua portuguesa

-Este livro apresenta ações pedagógicas de ensino de língua portuguesa e literatura implementadas no âmbito do Mestrado Profissional em Letras da Universidade Federal de Juiz de Fora. Em uma perspectiva de pesquisa ação, foram desenvolvidas intervenções em sala de aula de ensino básico, pautadas em abordagens teóricas recentes. As motivações, etapas de intervenção, bases teóricas, experiências e resultados das intervenções são expostos e discutidos na obra como forma de incentivar a replicação de ações exitosas de ensino de língua materna

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

Núcleos de Ensino da Unesp: artigos 2014: volume 1: processos de ensino e de aprendizagem dos conteúdos escolares

Conselho Nacional de Desenvolvimento Científco e Tecnológico (CNPq

Núcleos de Ensino da Unesp: artigos 2007

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq

Genomic epidemiology reveals how restriction measures shaped the SARS-CoV-2 epidemic in Brazil

Abstract Brazil has experienced some of the highest numbers of COVID-19 infections and deaths globally and made Latin America a pandemic epicenter from May 2021. Although SARS-CoV-2 established sustained transmission in Brazil early in the pandemic, important gaps remain in our understanding of local virus transmission dynamics. Here, we describe the genomic epidemiology of SARS-CoV-2 using near-full genomes sampled from 27 Brazilian states and an adjacent country - Paraguay. We show that the early stage of the pandemic in Brazil was characterised by the co-circulation of multiple viral lineages, linked to multiple importations predominantly from Europe, and subsequently characterized by large local transmission clusters. As the epidemic progressed, the absence of effective restriction measures led to the local emergence and international spread of Variants of Concern (VOC) and under monitoring (VUM), including the Gamma (P.1) and Zeta (P.2) variants. In addition, we provide a preliminary genomic overview of the epidemic in Paraguay, showing evidence of importation from Brazil. These data reinforce the need for the implementation of widespread genomic surveillance in South America as a toolkit for pandemic monitoring and providing a means to follow the real-time spread of emerging SARS-CoV-2 variants with possible implications for public health and immunization strategies

NEOTROPICAL ALIEN MAMMALS: a data set of occurrence and abundance of alien mammals in the Neotropics

Biological invasion is one of the main threats to native biodiversity. For a species to become invasive, it must be voluntarily or involuntarily introduced by humans into a nonnative habitat. Mammals were among first taxa to be introduced worldwide for game, meat, and labor, yet the number of species introduced in the Neotropics remains unknown. In this data set, we make available occurrence and abundance data on mammal species that (1) transposed a geographical barrier and (2) were voluntarily or involuntarily introduced by humans into the Neotropics. Our data set is composed of 73,738 historical and current georeferenced records on alien mammal species of which around 96% correspond to occurrence data on 77 species belonging to eight orders and 26 families. Data cover 26 continental countries in the Neotropics, ranging from Mexico and its frontier regions (southern Florida and coastal-central Florida in the southeast United States) to Argentina, Paraguay, Chile, and Uruguay, and the 13 countries of Caribbean islands. Our data set also includes neotropical species (e.g., Callithrix sp., Myocastor coypus, Nasua nasua) considered alien in particular areas of Neotropics. The most numerous species in terms of records are from Bos sp. (n = 37,782), Sus scrofa (n = 6,730), and Canis familiaris (n = 10,084); 17 species were represented by only one record (e.g., Syncerus caffer, Cervus timorensis, Cervus unicolor, Canis latrans). Primates have the highest number of species in the data set (n = 20 species), partly because of uncertainties regarding taxonomic identification of the genera Callithrix, which includes the species Callithrix aurita, Callithrix flaviceps, Callithrix geoffroyi, Callithrix jacchus, Callithrix kuhlii, Callithrix penicillata, and their hybrids. This unique data set will be a valuable source of information on invasion risk assessments, biodiversity redistribution and conservation-related research. There are no copyright restrictions. Please cite this data paper when using the data in publications. We also request that researchers and teachers inform us on how they are using the data