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Tecnologias de informação e comunicação para analisar a responsividade emocional em organizações hierárquicas
(Universidade Federal de São Carlos, 2016-01-28) Silva, Rener Baffa da; Anacleto, Junia Coutinho; https://lattes.cnpq.br/6200743168568684; https://lattes.cnpq.br/3936850286110811
Currently the area of HCI is experiencing the years of its third paradigm or third wave where the cultural issues and specially the human expressions such as emotions are very important. It is part of the human nature the need to express emotions, which play an important role in the development of intelligence, perception, learning and specially in communication. Given that people organize themselves in group in different situations, mainly for work purposes, the importance of communication is clear within these organizations that are mostly hierarchically organized. The communication that occurs without expression of emotions and understanding and response of the emotions expressed by other take the risk of loose sense. Thus, it is clear that emotions and emotional responsiveness are present in the communication and socialization among people. However, little is known about the "emotional world" of hierarchical organizations. This work explores the use of ICTs tools in the context of the communication in hierarchical organizations to look for emotional responsiveness and behavioral tendencies of their members. For this end, a prototype named EmotiFeed was developed and installed in a hierarchically organized mental care hospital, following the in-the-wild approach. The EmotiFeed encourages the Bottom-Up communication and allows the hospital directors to publish public notes to their employees that can express themselves emotionally about them. It was found evidences that the emotional responsiveness is promoted by the use of ICTs from both perspectives of high-level and low-level members. It was found that the high-level members are sensitive to the emotional feedback provided by the low-level members, checking and evaluating the impact of his/her publication and adjusting the content of the public notes, tending to publish public notes with emotional content above neutral and around positive. It was also found that the low- level members have sensitivity to the repost of the high-level members, reflecting on the previous and the current public note and can be expressed in order to be better understood.
Desenvolvimento e aplicação de análise de especiação química de selênio em amostras agropecuárias
(Universidade Federal de São Carlos, 2016-01-28) Oliveira, Aline Fernandes de; Nogueira, Ana Rita de Araújo; https://lattes.cnpq.br/7034773971317045; https://lattes.cnpq.br/8667572150256408
Selenium is essential in animal nutrition; it ensures proper functioning of musculoskeletal, reproductive, and immune system. The intake requirement range for Se is narrow and low levels of Se are required. In order to supply the demand, the animal feed supplementation has grown, considering the knowing of Se deficiency in soils from different countries. This supplementation is made with the use of organoselenium, because of its low toxicity and high bioavailability to the animal. This study targets organoselenium speciation (of Se-methionine and its product of oxidation, Se-O-methionine, and Se-cystine) in animal feed samples and beef using HPLC coupled to ICP-MS/MS. Inorganic species, selenate (Se(VI)) and selenite (Se(IV)), which could be toxic even at low levels, were also determined. The instrumental parameters were optimized and the use of hydrogen as reaction gas to remove the m/z= 80 (Se most abundant isotope) interferences was evaluated, and it demonstrated analytical capacity by using Se standard solutions in presence of interfering elements and CRMs (bovine liver and fish liver) digests indicated a calculated accuracy of 89 and 97 %, respectively. The Se chemical speciation method was applied in samples provided from an experiment with 48 animals (divided into four groups) were fed with Se enriched feed for 82 days. The groups are: (1) cattle feed (control); (2) cattle feed + antioxidants (organoselenium + vitamin E); (3) cattle feed + canola oil and (4) cattle feed + antioxidants (canola oil + organoselenium + vitamin E). A sample preparation method development for complex matrices like animal feed and beef was optimized with an enzyme coquetail. A good separation was obtained and Se species could be easily identified. The method is robust and his been applied for different types of samples with recoveries > 65%. The results infer that a majority of Se in both feed and beef present as Se-methionine. The same method was used to evaluate commercialized feed of swine, poultry and bovine in order to evaluate if the concentrations and species are in agreement with labels. In general the samples attend to legislation according to the evaluated parameters.
Uma classe de modelos de regressão bivariados para respostas discreta e contínua
(Universidade Federal de São Carlos, 2016-01-28) Oliveira, Willian Luís de; Diniz, Carlos Alberto Ribeiro; https://lattes.cnpq.br/4423792653643417; https://lattes.cnpq.br/4423792653643417
In this thesis, a wide general class of models for mixed responses is proposed in which joint distributions are constructed by the conditional approach (probability density functions, (pdf), as the product of a marginal pdf and a conditional pdf). It is assumed that the distribution of the discrete response and the conditional distribution of the continuous response given the discrete variable belong to one- or two-parameter exponential family of distributions. Furthermore, the marginal means are related to the covariates by link functions using linear and/or nonlinear and/or non-parametric predictors and a dependency structure between the responses is introduced into the model via the conditional mean. Estimation methods, diagnostic analysis and in uence techniques are presented as well as a simulation study considering the Bernoulli-exponential and Poisson-normal semiparametric models, two particular cases of the proposed class. Finally, one of the proposed models is used in a real data set involving the total cost of care for each patient during hospitalization, the use or not of the intensive treatment units and the age of the patient.