132 research outputs found
Aula de educação física sem jogar bola ?: impactos da pandemia de Covid -19 na metodologia das aulas e na vida dos professores / Physical education class without playing ball ?: impacts of the Covid-19 pandemic on class methodology and teachers' lives
O surto de Covid-19 afetou a população mundial, obrigando a paralisação parcial e integral de todas as atividades. O objetivo da pesquisa é analisar o impacto na vida dos professores de Educação Física e descrever quais metodologias foram empregadas nas aulas de Educação Física nas esferas educacionais existentes na percepção de seus gestores na cidade de Porto Velho/RO. A pesquisa foi descritiva, através de aplicação de entrevistas e questionários com professores e gestores. Como resultado principal encontrou-se: (I) dificuldades e limitações para o novo; (II) principais metodologias utilizadas, síncrona (90%) e (72%) plataformas específicas; (V) visão positiva dos gestores e professores para atuação on-line. Conclui-se que docentes e gestores mostraram-se ativos na busca de resoluções para os problemas decorrentes da pandemia e do ensino on-line
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
Educomunicação e suas áreas de intervenção: Novos paradigmas para o diálogo intercultural
oai:omp.abpeducom.org.br:publicationFormat/1O material aqui divulgado representa, em essência, a contribuição do VII Encontro Brasileiro de Educomunicação ao V Global MIL Week, da UNESCO, ocorrido na ECA/USP, entre 3 e 5 de novembro de 2016. Estamos diante de um conjunto de 104 papers executivos, com uma média de entre 7 e 10 páginas, cada um.
Com este rico e abundante material, chegamos ao sétimo e-book publicado pela ABPEducom, em seus seis primeiros anos de existência. A especificidade desta obra é a de trazer as “Áreas de Intervenção” do campo da Educomunicação, colocando-as a serviço de uma meta essencial ao agir educomunicativo: o diálogo intercultural, trabalhado na linha do tema geral do evento internacional: Media and Information Literacy: New Paradigms for Intercultural Dialogue
Design, Synthesis and Characterization of N-oxide-containing Heterocycles with In vivo Sterilizing Antitubercular Activity
Tuberculosis, caused by the Mycobacterium tuberculosis (Mtb), is the infectious disease
responsible for the highest number of deaths worldwide. Herein, 22 new N-oxide-
containing compounds were synthesized followed by in vitro and in vivo evaluation of
their antitubercular potential against Mtb. Compound 8 was found to be the most
promising compound, with MIC90 values of 1.10 and 6.62 μM against active and non-
replicating Mtb, respectively. Additionally, we carried out in vivo experiments to confirm
the safety and efficacy of compound 8; the compound was found to be orally bioavailable
and highly effective leading to the reduction of the number of Mtb to undetected levels in
a mouse model of infection. Microarray-based initial studies on the mechanism of action
suggest that compound 8 blocks the process of translation. Altogether, these results
indicated benzofuroxan derivative 8 to be a promising lead compound for the
development of a novel chemical class of antitubercular drugs
Statement of Second Brazilian Congress of Mechanical Ventilarion : part I
Resumo não disponíve
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
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