<p>The Sun is the main source of energy for the Earth. The conversion of solar to electric energy can be done through photovoltaic systems, whose performance depends on variables such as slope angle and azimuth orientation. The objective of this project was to evaluate the annual production of electric energy according to the function of the angles of inclination and azimuth orientation for a residential photovoltaic system connected to the grid in six municipalities of Paraíba. The analysis was performed via a System Advisor Model simulation for a system with a capacity of 1500 Wp. The reference system considered in this study was oriented to the geographic north and the slope was equal to the local latitude. The variation of the angle of inclination of the module was considered at intervals between 0 ° and 90 ° and the azimuthal angle ranged from 0 ° to 360 °. The annual production of energy in each system positioning was normalized by the yield of the reference system to obtain the losses for each orientation. Results indicated that concerning the energy produced by the system in the horizontal condition and regardless of the azimuthal angle, the losses did not exceed 1% in relation to the reference system. It was also observed that there is a wide range of slopes and orientations so that a photovoltaic arrangement can be applied with the minimum loss of electricity generation in relation to the reference system.</p>

The adherence to therapy associated with the socio-demographic variables and the habits of patients with hypertension and/or diabetes mellitus were investigated in this study. The registration forms of 105 patients in the Hiperdia program in the municipality of Campina Grande-PB were used as a data collection instrument, applying the Morisky-Green test (MGT) and Batalla test (BT) to assess compliance treatment. For the MGT, there was a prevalence of non-adherent individuals (76.2%) and the type of predominant behavior was unintentional. The internal consistency of the responses obtained through the MGT presented good reliability, according to the value of 0.69 obtained by Cronbach's alpha. For the BT, there was a predominance of adherence (68.6%) and the alpha value was 0.80, showing a high reliability level. It was found that a diet lacking in salt is a strong impact variable for determining the adherence to the BT. Given the representativity of the tests, there is a need to amend the interferences that facilitate the low adherence to drug treatment. The results of this study can be used to construct strategies that will address these difficulties and optimize the adherence level and quality of life of patients.

<p>The present work has the objective of presenting a fixed and solar tracker photovoltaic systems comparative study, through the technical and financial viability evaluation in a public education institution located in the backlands of the state of Paraíba (Brazil). Through a System Advisor Model simulation software, we estimated the electrical energy production of the systems. Then, we performed a statistical analysis to evaluate the differences between the energy production of the proposed systems. Finally, financial indicators were used to assess which system had better financial viability. The results on performance have shown that the annual production of electric energy for photovoltaic systems with tracking is 32% higher than the fixed system. Statistical analysis proved by hypothesis testing that there is evidence that the tracking system produces more electric energy in relation to the fixed system. As for financial evaluation, the fixed system was more advantageous, since its financial indicators were better in all aspects. The research contributed to a better understanding of the differences between photovoltaic systems in terms of technical, financial and statistical aspects, which may help the decision making when choosing the installation of these systems in the region which is being studied.</p>

<p>O presente trabalho relata a experiência vivenciada através do projeto de extensão intitulado “Preparando para o ENEM”, desenvolvido no Instituto Federal de Educação, Ciência e Tecnologia da Paraíba – Campus Cajazeiras. O referido projeto teve como objetivo principal subsidiar a aprendizagem de estudantes concluintes e egressos do Ensino Médio de escolas públicas do município de Cajazeiras e região que se submeteriam ao Exame Nacional do Ensino Médio (ENEM), em 2015. A iniciativa extensionista focava especialmente no campo das Ciências Exatas, com ênfase no aprimoramento de conceitos específicos frequentes no Exame nas áreas de Matemática e Ciências da Natureza e suas Tecnologias; e consistia na realização de aulas de revisão e técnicas de resolução de questões, atividades práticas em laboratório e “aulões” multidisciplinares abertos a toda comunidade. A equipe responsável pelo projeto era composta por alunos do Curso de Engenharia Civil, do Curso Técnico Integrado ao ensino médio em edificações e de professores de Matemática, Física, Geografia, Português e Redação.</p>

A evasão escolar tem causado prejuízos financeiros, sociais e culturais. Em relação ao ensino superior, no Brasil, foi identificado na última década que 59% dos alunos desistiram do seu curso de ingresso. As altas taxas de abandono no ensino superior retardam o desenvolvimento do país, o qual necessita de pessoas qualificadas para evoluir em educação, pesquisa, inovação e tecnologia. Diante disto, as instituições de ensino superior necessitam de mecanismos que possam acompanhar o risco de evasão dos seus alunos, para em seguida traçar estratégias de combate a esse fenômeno. Dessa forma, o objetivo desse trabalho foi desenvolver um sistema para detecção e monitoramento de alunos em risco de evasão. A pesquisa foi realizada em parceria com uma instituição de ensino pública, a partir dos dados acadêmicos e socioeconômicos dos estudantes de graduação. Através de métodos estatísticos, foi realizada a seleção e classificação das variáveis que poderiam ser consideradas relevantes para o estudo da evasão e em seguida, foram analisados os resultados dos melhores modelos de aprendizado de máquina para esses dados. Dos vários modelos avaliados, o XGBoost (Extreme Gradient Boosting) foi o que melhor se adaptou aos dados com boas métricas, eficiência, calibrado e com recall próximo de 0,85. A pesquisa trouxe contribuições relevantes para a instituição analisada ao disponibilizar uma plataforma para acompanhar período a período os alunos com risco de abandono do curso. Também foi identificado que a maior proporção da evasão está ocorrendo nos períodos iniciais, entre estudantes com CRE muito baixo, alta reprovação por falta e com idade elevada.