272 research outputs found

    A MATRIZ AFRICANA DO ULTRARROMANTISMO DE MARIA FIRMINA DOS REIS

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    Recentemente, a crítica literária tem destacado a importância da obra de Maria Firmina dos Reis. Porém, diferentemente do que ocorre com sua narrativa, sua poesia ainda não recebeu a devida atenção, mesmo que, se a lermos com atenção, possamos observar que seus versos também problematizam os princípios fundadores da identidade e da literatura nacional no Brasil. Diante dessas questões, o presente estudo pretende demonstrar as marcas da identidade afro-brasileira nos poemas de Cantos à beira-mar, de 1871, demonstrando como os versos da poeta não apenas refletem sobre a diáspora africana como também problematizam a ideia construída acerca da chamada geração “mal do século” do Romantismo brasileiro. Para tanto, tendo por base as questões teóricas de Alfredo Bosi (2015), Afrânio Coutinho (2002), Antônio Candido (2009), Massaud Moisés (2012), Rita Schmidt (2017), Domício Proença Filho (2004), Maria Nazareth Soares Fonseca (2001), Eduardo de Assis Duarte (2011) e Lélia Gonzalez (2020), dentre outros, propomos uma leitura dos poemas Visão e O proscrito, verificando como, a partir de algumas imagens poéticas, a voz lírica de Maria Firmina dos Reis subverte a ideia de poesia ultrarromântica, apontando a identidade afro-brasileira como um dos motivadores da melancolia e angústia manifestadas em seus versos.DOI: https://doi.org/10.47295/mren.v10i6.372

    COVID-19 impacts the expression of molecular markers associated with neuropsychiatric disorders

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    Coronavirus disease 2019 (COVID-19) was initially characterized due to its impacts on the respiratory system; however, many recent studies have indicated that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) significantly affects the brain. COVID-19 can cause neurological complications, probably caused by the induction of a cytokine storm, since there is no evidence of neurotropism by SARS-CoV-2. In line with this, the COVID-19 outbreak could accelerate the progression or affect the clinical outcomes of neuropsychiatric conditions. Thus, we analyzed differential gene expression datasets for clinical samples of COVID-19 patients and identified 171 genes that are associated with the pathophysiology of the following neuropsychiatric disorders: alcohol dependence, autism, bipolar disorder, depression, panic disorder, schizophrenia, and sleep disorder. Several of the genes identified are associated with causing some of these conditions (classified as elite genes). Among these elite genes, 9 were found for schizophrenia, 6 for autism, 3 for depression/major depressive disorder, and 2 for alcohol dependence. The patients with the neuropsychiatric conditions associated with the genes identified may require special attention as COVID-19 can deteriorate or accelerate neurochemical dysfunctions, thereby aggravating clinical outcomes

    O impacto do vĂ­rus Zika no Brasil e no mundo

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    O vírus Zika, transmitido por mosquitos do gênero Aedes, foi responsável recentemente por um grande surto de infecções e condições patológicas a ele associadas. Muitos casos de microcefalia e outras complicações neurológicas foram relacionados ao vírus, tornando-o alvo de diversas pesquisas no Brasil e no mundo. As investigações científicas, relacionadas ao Zika, em muito pouco tempo, já foram capazes de melhorar o diagnóstico, promover avanços no desenvolvimento de vacinas e outras maneiras de prevenção, bem como maior entendimento sobre as patologias associadas. Neste trabalho, todos esses aspectos foram revisados e discutidos, apresentando um panorama geral sobre o Zika e seu impacto global, especialmente no Brasil.The Zika virus, transmitted by mosquitoes of the genus Aedes, was recently responsible for a major outbreak of infections and pathological associated conditions. Several cases of microcephaly and other neurological impairments were related with the virus, making Zika a target of multiple research projects in Brazil and worldwide. Scientific investigations, related to Zika, have, in a short time, already been able to improve the diagnosis, promote advances in vaccine development and other ways of prevention, as well as a better understanding of the associated pathologies. In this article, these mentioned topics were reviewed and discussed presenting an overview towards Zika and its global impact, especially in Brazil

    SARSCOVIDB : a new platform for the analysis of the molecular impact of SARS-CoV-2 viral infection

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    The COVID-19 pandemic caused by the new coronavirus (SARS-CoV-2) has become a global emergency issue for public health. This threat has led to an acceleration in related research and, consequently, an unprecedented volume of clinical and experimental data that include changes in gene expression resulting from infection. The SARS-CoV-2 infection database (SARSCOVIDB: https://sarscovidb.org/) was created to mitigate the dificulties related to this scenario. The SARSCOVIDB is an online platform that aims to integrate all differential gene expression data, at messenger RNA and protein levels, helping to speed up analysis and research on the molecular impact of COVID-19. The database can be searched from different experimental perspectives and presents all related information from published data, such as viral strains, hosts, methodological approaches (proteomics or transcriptomics), genes/proteins, and samples (clinical or experimental). All information was taken from 24 articles related to analyses of differential gene expression out of 5,554 COVID-19/SARS-CoV-2-related articles published so far. The database features 12,535 genes whose expression has been identified as altered due to SARS-CoV-2 infection. Thus, the SARSCOVIDB is a new resource to support the health workers and the scientific community in understanding the pathogenesis and molecular impact caused by SARS-CoV-2

    Pervasive gaps in Amazonian ecological research

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    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

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    Estimating the global conservation status of more than 15,000 Amazonian tree species

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    Estimates of extinction risk for Amazonian plant and animal species are rare and not often incorporated into land-use policy and conservation planning. We overlay spatial distribution models with historical and projected deforestation to show that at least 36% and up to 57% of all Amazonian tree species are likely to qualify as globally threatened under International Union for Conservation of Nature (IUCN) Red List criteria. If confirmed, these results would increase the number of threatened plant species on Earth by 22%. We show that the trends observed in Amazonia apply to trees throughout the tropics, and we predict thatmost of the world’s >40,000 tropical tree species now qualify as globally threatened. A gap analysis suggests that existing Amazonian protected areas and indigenous territories will protect viable populations of most threatened species if these areas suffer no further degradation, highlighting the key roles that protected areas, indigenous peoples, and improved governance can play in preventing large-scale extinctions in the tropics in this century
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