Gut-associated intestinal lymphoid tissue, the largest secondary lymphoid organ in the human body, constantly samples antigens from the gut lumen, presenting as a default response the activation of TCD4 FOXP3 regulatory T cells that secrete a profile of anti-inflammatory cytokines maintaining gut homeostasis denominated from an immunological perspective as mucosal tolerance. However, when antigens are sampled in an inflammatory setting, the immune response may either be protective, in the case of harmful pathogens, or cause further inflammatory reactions as in food allergy, inflammatory bowel diseases, coeliac disease or food protein-induced enterocolitis syndrome. Therefore, there is a need for accurate and consistent experimental models. However, a drawback in comparing these models is the lack of a classification system similar to that which is already used for humans. Thus, the aim of this work was to propose a classification system of the small intestinal histomorphology in experimental mice. To do this we used a mouse antigen-specific gut inflammation model developed by our research group. Duodenum sections stained with haematoxylin-eosin and Alcian blue were scanned using the APERIO scanning system and analysed with the ImageScope software. The evaluated parameters were villus area, villus height and width, enterocyte count, mononuclear intra-epithelial leucocyte and goblet cell counts, and architectural and cellular ratios. Food-sensitized animals challenged with a diet containing the corresponding food allergen presented, as for humans, time-dependent shortened and widened villi accompanied by leucocyte infiltrate and loss of goblet cells. With these data, we were able to establish a classification system for experimental intestinal inflammation in mice thus permitting better comparisons among and between experiments than has been possible previously.

Abstract. Virtual microscopy is currently widely used for various purposes, such as teaching, archiving, collaborations and research. Although the cost of this technique has reduced, it continues to be expensive for the majority of laboratories in developing countries. The Graduate Program in Pathology at the Federal Fluminense University (Niterói, Brazil) has acquired equipment for virtual microscopy. However, this novel method faced prejudice, as students and technicians were skeptical about its reliability. Thus, the aim of the current study was to evaluate whether virtual microscopy is a reliable method of analysis for our research. Thus, a mouse gut inflammation model developed by our research group was used in the present study. Analysis was performed using optical microscopy and digital imaging using the APERIO scanning system and the ImageScope ® software. Intestinal epithelial cells (IECs), intra epithelial leucocytes (IEL), and villi number and area were evaluated. No significant differences were observed in villi number, IEC and IEL; however, the villi area was significantly smaller when measured using the computer. Thus, the present study indicates that virtual microscopy is a trustworthy method for research purposes.

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In the traditional instructional paradigm, faculty members act like actors on a stage. They memorize their speech and deliver it to the audience, many times with very little to no interaction at all with the audience. On the other hand, in the student-centered learning paradigm, faculty members act like coaches interacting full time with their team. This chapter is based on a study conducted at a Brazilian Federal University. The study depicts the distance between science production and teaching, and reports on experiences using smart phone clickers to track and analyze students' content acquisition. The objective is to improve the interactive quality of teaching and learning, thus promoting steps to shift towards a student-centered instructional paradigm. Although smartphones were used in this study, with wearable technologies continuing to grow, other wearables such as smart glasses and smart watches could be used instead.

É inegável a pervasividade das mídias sociais em nosso cotidiano, tanto que o fácil acesso e a sensação de anonimato influenciou usuários a compartilharem ativamente suas opiniões. Como consequência, o crescimento exponencial do volume de dados gerou novos desafios em relação a seleção de estudos de caso e formas de coleta dos dados. Neste contexto, uma classificação das mídias sociais para facilitar o reconhecimento de suas estruturas e fluxos de dados pode otimizar processos de seleção e coleta de dados. No presente estudo é conduzido um levantamento das mídias sociais online mais relevantes e que disponibilizam conteúdo gerado pelos usuários. Também, apresentam-se os mecanismos de acesso de dados destas mídias, suas características e funcionalidades identificadas. Como impacto direto do estudo destaca-se a perspectiva mais ampla na busca de fontes de dados, de modo a reduzir o viés de pesquisa e permitir uma maior diversidade nos estudos de fenômenos socioeconômicos.