Navegando por Assunto "Discrimination"
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Artigo de Periódico Acesso aberto (Open Access) Delegacia e Defensoria Pública no combate à homofobia em Belém do Pará(Universidade de Santa Cruz do Sul, 2011-12) NASCIMENTO, Lázaro Castro Silva; PIMENTEL, Adelma do Socorro GonçalvesIn 2009, in Brazil, have been reported 195 assassinations by homophobia. Of this total, 20 have been reported in north side of the country. This index leads the discussion about the effects of homophobia in Belem of Para. Therefore, we tried to identify what institutions watch over the expected public polices to tackle this kind of violence and what is the understanding by the heads of these institutions about this phenomenon. The Delegacy of Combat to the Discrimination Crimes and the Public Defender’s Office through the Human Being Nucleus were the two researched institutions of Belem. This is an exploratory research in which has been used a qualitative methodology of data collection: bibliographical examination, observation, and semi structured interviews. We detected with the results that: the discussion about homophobia has grown and shown to be increasingly present in the society; the law project which aims to combat homophobia is an important public policy in development. We conclude that the discrimination and the prejudice against sexual orientation pass trough explicit violent acts and hidden acts, for instance, to not witness the seen aggression. The homoerotic sexual orientation still being marginal for escape of the heteronormative standard. In Belem, add to that, there is no space for the full and free experience of living the sexuality without prejudices, which instigates further researches into this topic.Tese Acesso aberto (Open Access) Farinha de mandioca (Manihot esculenta) e tucupi: uma abordagem analítica utilizando espectroscopia no unfravermelho próximo (NIRS) e ferramentas quimiométricas(Universidade Federal do Pará, 2022-04-25) POMPEU, Darly Rodrigues; SOUZA, Jesus Nazareno Silva de; http://lattes.cnpq.br/3640438725903079; PENA, Rosinelson da Silva; http://lattes.cnpq.br/3452623210043423The near infrared spectroscopy (NIRS) coupled to chemometrics has been used as an alternative tool for quick and reliable solutions. Cassava flour (CF) can be classified as fermented and non-fermented types. Tucupi is a yellow broth, acidic, mostly aromatic and widely used in Regional dishes in Para state. This thesis proposed to apply for the first time the NIRS associated with chemometrics to predict quality parameters from CF and tucupi, as well as to discriminate fermented and non-fermented CF. One hundred six samples of CF was investigated and nine physicochemical parameters of CF were evaluated. Calibration equations with independent validation were developed to predict all parameters using the partial least square regression method. The performance of models was evaluated by the root mean standard error of calibration (RMSEC) and validation (RMSEV), and R2 values. The aW (RMSEC = RMSEV = 0.05), moisture content (RMSEC = 0.35%; RMSEV = 0.45%) and pH (RMSEC = 0.16; RMSEV = 0.18) could be predicted (R2 > 0.727) by NIRS coupled to multivariate analysis. NIRS coupled to Principal Component Analysis–Linear Discriminant Analysis (PCA-LDA) was also used to investigate the classification of fermented and unfermented CF. The use of NIRS spectra allows to obtain better performance parameters (training accuracy: 86.3–93.8%; validation accuracy: 84.6–96.2%) to discriminate fermented and unfermented CF than the use of the physicochemical properties (training accuracy: 80%; validation accuracy: 84.6%). NIRS was also used to predict nine quality physicochemical properties of tucupi Sixty-five samples of tucupi were used in this study. The performance of models was evaluated by the R2, RMSEC, root mean standard error of cross-validation (RMSECV) and RMSEV values. The total soluble solids contents could be predicted (R2 > 0.727; RMSEC = 0.184%; RMSECV = 0.411%; RMSEV = 0.338%) by NIRS coupled to multivariate analysis. NIRS and chemometrics proved to be a powerful tool to predict quality parameters in CF and tucupi as well as to discriminate fermented and non-fermented CF.
