21 research outputs found

    A representação da mulher no conto Yamanba no Bishō

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    Trabalho de Conclusão de Curso (graduação)—Universidade de Brasília, Instituto de Letras, Departamento de Línguas Estrangeiras e Tradução, 2018.O presente trabalho tem como finalidade apresentar uma breve contextualização histórica da posição das mulheres na sociedade japonesa, visto que a desvalorização das mulheres no mercado de trabalho e no âmbito acadêmico continua afetando as mulheres. Em seguida, apresentar a biografia da escritora Ōba Minako (1930-2007) e suas principais obras que ganharam prêmios japoneses, contribuindo assim, para promover o interesse dos leitores sobre a autora pouco conhecida no Brasil. O foco principal deste trabalho é o conto Yamanba no Bishō (1976), de Ōba Minako, e será resumido e analisado com apontamento às questões socioculturais e a relação hegemônica de poder presentes no conto. Além disso, outro objetivo deste trabalho é apresentar as lendas japonesas da yamanba para o leitor compreender a figura folclórica e associá-la com a protagonista do conto, bem como acrescentar no âmbito acadêmico de estudos da área de literatura japonesa no Brasil.The present work aims to present a brief historical context of the position of women in Japanese society, since the devaluation of women in the labor market and in the academic field continues to affect women. Then present the biography of the writer Ōba Minako (1930-2007) and her main works that won Japanese prizes, thus contributing to promote the interest of readers about the author little known in Brazil.. The main focus of this work is the tale Yamanba no Bishō (1976), by Ōba Minako, and will be summarized and analyzed with the pointing of socio-cultural questions and a hegemonic relation of power present in the tale. In addition, another objective of this work is to present the Japanese legends of yamanba for the reader to understand the folk figure and associate it with a protagonist of the story, as well as add in the ambit academic of studies of the area of Japanese literature in Brazil

    The small molecule curcumin analog FLLL32 induces apoptosis in melanoma cells via STAT3 inhibition and retains the cellular response to cytokines with anti-tumor activity

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    Background: We characterized the biologic effects of a novel small molecule STAT3 pathway inhibitor that is derived from the natural product curcumin. We hypothesized this lead compound would specifically inhibit the STAT3 signaling pathway to induce apoptosis in melanoma cells. Results: FLLL32 specifically reduced STAT3 phosphorylation at Tyr705 (pSTAT3) and induced apoptosis at micromolar amounts in human melanoma cell lines and primary melanoma cultures as determined by annexin V/propidium iodide staining and immunoblot analysis. FLLL32 treatment reduced expression of STAT3-target genes, induced caspase-dependent apoptosis, and reduced mitochondrial membrane potential. FLLL32 displayed specificity for STAT3 over other homologous STAT proteins. In contrast to other STAT3 pathway inhibitors (WP1066, JSI-124, Stattic), FLLL32 did not abrogate IFN-γ-induced pSTAT1 or downstream STAT1-mediated gene expression as determined by Real Time PCR. In addition, FLLL32 did not adversely affect the function or viability of immune cells from normal donors. In peripheral blood mononuclear cells (PBMCs), FLLL32 inhibited IL-6-induced pSTAT3 but did not reduce signaling in response to immunostimulatory cytokines (IFN-γ, IL 2). Treatment of PBMCs or natural killer (NK) cells with FLLL32 also did not decrease viability or granzyme b and IFN-γ production when cultured with K562 targets as compared to vehicle (DMSO). Conclusions: These data suggest that FLLL32 represents a lead compound that could serve as a platform for further optimization to develop improved STAT3 specific inhibitors for melanoma therapy

    Analytical approaches for antimalarial antibody responses to confirm historical and recent malaria transmission: an example from the Philippines

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    Background: Assessing the status of malaria transmission in endemic areas becomes increasingly challenging as countries approach elimination. Serology can provide robust estimates of malaria transmission intensities, and multiplex serological assays allow for simultaneous assessment of markers of recent and historical malaria exposure. Methods: Here, we evaluated different statistical and machine learning methods for analyzing multiplex malaria-specific antibody response data to classify recent and historical exposure to Plasmodium falciparum and Plasmodium vivax. To assess these methods, we utilized samples from a health-facility based survey (n = 9132) in the Philippines, where we quantified antibody responses against 8 P. falciparum and 6 P. vivax-specific antigens from 3 sites with varying transmission intensity. Findings: Measurements of antibody responses and seroprevalence were consistent with the 3 sites’ known endemicity status. Among the models tested, a machine learning (ML) approach (Random Forest model) using 4 serological markers (PfGLURP R2, Etramp5.Ag1, GEXP18, and PfMSP119) gave better predictions for P. falciparum recent infection in Palawan (AUC: 0.9591, CI 0.9497–0.9684) than individual antigen seropositivity. Although the ML approach did not improve P. vivax infection predictions, ML classifications confirmed the absence of recent exposure to P. falciparum and P. vivax in both Occidental Mindoro and Bataan. For predicting historical P. falciparum and P. vivax transmission, seroprevalence and seroconversion rates based on cumulative exposure markers AMA1 and MSP119 showed reliable trends in the 3 sites. Interpretation: Our study emphasizes the utility of serological markers in predicting recent and historical exposure in a sub-national elimination setting, and also highlights the potential use of machine learning models using multiplex antibody responses to improve assessment of the malaria transmission status of countries aiming for elimination. This work also provides baseline antibody data for monitoring risk in malaria-endemic areas in the Philippines. Funding: Newton Fund, Philippine Council for Health Research and Development, UK Medical Research Council
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