372 research outputs found

    Processamento de segundas lĂ­nguas e a Teoria LinguĂ­stica em LĂ­nguas RomĂąnicas

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    Introduction to Revista Linguística vol. 18 no.3Apresentação à Revista Linguística v.18 n.

    Mapeamento cruzado dos diagnĂłsticos e intervençÔes de enfermagem na insuficiĂȘncia cardĂ­aca descompensada

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    Objetivo: Mapear os termos registrados em prontuĂĄrios de pacientes com insuficiĂȘncia cardĂ­aca descompensada para diagnósticos e intervençÔes de enfermagem da NANDA Internacional e Classificação de Intervenções de Enfermagem.Método: Pesquisa exploratĂłria, descritiva, realizada atravĂ©s do mapeamento cruzado. Os dados foram coletados em 107 prontuários de um hospital do município do Rio de Janeiro/RJ, no perĂ­odo entre outubro de 2017 e fevereiro de 2019. Os diagnósticos e intervenções mapeados foram avaliados por quatro peritos. A análise dos dados foi realizada pelo índice de validação de conteĂșdo e o Kappa de Fleiss.Resultados: Os diagnĂłsticos de enfermagem mais frequentes foram: risco de infecção (74,8%), débito cardíaco diminuído (55,1%) e volume de líquidos excessivo (49,5%). As intervenções foram: monitoração de sinais vitais (79,4%), monitoração hídrica (72,9%) e posicionamento (52,3%).ConclusĂŁo: A pesquisa mapeou 32 tĂ­tulos de diagnĂłsticos de enfermagem da NANDA-I e 21 intervençÔes de enfermagem da NIC. Os diagnĂłsticos e intervençÔes mapeados irĂŁo contribuir para a qualidade do registro de enfermeiros e segurança do paciente. Palavras-chave: Processo de enfermagem. Registros de enfermagem. InsuficiĂȘncia cardĂ­aca

    Physico-chemical characterization of asolectin–genistein liposomal system: An approach to analyze its in vitro antioxidant potential and effect in glioma cells viability

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    AbstractIn this study, the interaction between soy isoflavone genistein and asolectin liposomes was investigated by monitoring the effects of isoflavone on lipidic hydration, mobility, location and order. These properties were analyzed by the following techniques: horizontal attenuated total reflection Fourier transform infrared spectroscopy (HATR-FTIR), low-field 1H nuclear magnetic resonance (NMR), high-field 31P NMR, zeta potential, differential scanning calorimetry (DSC) and UV–vis spectroscopy. The antioxidant and antitumoral activities of the genistein liposomal system were also studied. The genistein saturation concentration in ASO liposomes corresponded to 484ÎŒM. HATR–FTIR results indicated that genistein influences the dynamics of the lipidic phosphate, choline, carbonyl and acyl chain methylenes groups. At the lipid polar head, HATR–FTIR and 31P NMR results showed that the isoflavone reduces the hydration degree of the phosphate group, as well as its mobility. Genistein ordered the lipid interfacial carbonyl group, as evidenced by the HATR–FTIR bandwidth analysis. This ordering effect was also observed in the lipidic hydrophobic region, by HATR–FTIR, NMR, DSC and turbidity responses. At the saturation concentration, liposome-loaded genistein inhibits the lipid peroxidation induced by hydroxyl radical in 90.9%. ASO liposome-loaded genistein at 100ÎŒM decreased C6 glioma cell viability by 57% after 72h of treatment. Results showed an increase of the genistein in vitro activities after its incorporation in liposomes. The data described in this work will contribute to a better understanding of the interaction between genistein and a natural-source membrane and of its influence on isoflavone biological activities. Furthermore, the antitumoral results showed that genistein-based liposomes, which contain natural-sourced lipids, may be promising as a drug delivery system to be used in the glioma therapy

    Pervasive gaps in Amazonian ecological research

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    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
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