Aplicação de realidade aumentada para o ensino de sólidos geométricos

Soluções de realidade virtual e aumentada têm vindo a ser utilizadas no segmento de ensino explorando diferentes modalidades de interação de forma a proporcionar ao aluno acesso efetivo de informação em situações de experiências imersivas em tempo real. Na internet podemos encontrar variadíssimas aplicações educacionais, que nos ajudam a todos, desde as crianças em idade escolar até a profissionais de todas as áreas, proporcionando o estudo mais interativo, divertido e mais envolvente. Neste artigo, onde assumimos que o contexto de ensino é propício para a experimentação de novos modelos de ensino/aprendizagem, apresentamos uma aplicação educacional na área da geometria com o objetivo de potencializar a transferência de conhecimento, salientando as características dimensionais dos sólidos.

Estudo de alterações na função salivar de um modelo de ratos pré-diabéticos

A Diabetes Mellitus é uma doença metabólica com uma distribuição mundial cada vez mais acentuada, acarretando consigo, elevada morbilidade e mortalidade. Deste modo, é de suma importância a compreensão e estudo em fases precoces desta doença. Nos últimos anos a saliva tem sido usada como fonte de biomarcadores para detecção e monitorização de doenças. Para além disso, há referencia a alterações na secreção salivar e percepção dos alimentos em indivíduos diabéticos, tornando-se importante um maior conhecimento da função salivar associada a esta patologia. O objectivo geral deste trabalho é estudar a função salivar num modelo de roedores intolerantes à glicose, avaliando-se a concentração proteica total da saliva, morfologia e morfometria das glândulas salivares maiores e expressão da amilase na saliva e glândulas salivares. Não se observam diferenças entre os grupos, para a concentração em proteína total, nem para a expressão de α-amilase, na saliva. Na análise histológica das glândulas salivares maiores é possível observar dimensões significativamente maiores dos ácinos das glândulas analisadas (parótida, submandibular e sublingual), em relação aos animais normoglicémicos, sugerindo o que pode ser o início de uma patologia comum em diabéticos, a sialose (hipertrofia e hiperplasia das glândulas salivares). Através de imunomarcação para a actina observa-se um aumento da expressão de células mioepiteliais na seguinte ordem: parótida, submandibular e sublingual. Não se observam diferenças entre os grupos. A imunomarcação para a α-amilase é mais intensa nos ácinos da parótida, nos ductos granulares da submandibular e nas meias luas serosas da sublingual, em ambos os grupos. Verifica-se uma sobre-expressão nos ductos intralobulares da parótida e nos ductos granulares da sumandibular, nos animais pré-diabéticos, sugerindo alguma endocitose da enzima por parte das células dos ductos. Os resultados obtidos sugerem alterações na função salivar, numa fase prévia ao desenvolvimento da Diabetes Mellitus, as quais merecem ser exploradas.

Design of neuro-fuzzy models by evolutionary and gradient-based algorithms

All systems found in nature exhibit, with different degrees, a nonlinear behavior. To emulate this behavior, classical systems identification techniques use, typically, linear models, for mathematical simplicity. Models inspired by biological principles (artificial neural networks) and linguistically motivated (fuzzy systems), due to their universal approximation property, are becoming alternatives to classical mathematical models. In systems identification, the design of this type of models is an iterative process, requiring, among other steps, the need to identify the model structure, as well as the estimation of the model parameters. This thesis addresses the applicability of gradient-basis algorithms for the parameter estimation phase, and the use of evolutionary algorithms for model structure selection, for the design of neuro-fuzzy systems, i.e., models that offer the transparency property found in fuzzy systems, but use, for their design, algorithms introduced in the context of neural networks. A new methodology, based on the minimization of the integral of the error, and exploiting the parameter separability property typically found in neuro-fuzzy systems, is proposed for parameter estimation. A recent evolutionary technique (bacterial algorithms), based on the natural phenomenon of microbial evolution, is combined with genetic programming, and the resulting algorithm, bacterial programming, advocated for structure determination. Different versions of this evolutionary technique are combined with gradient-based algorithms, solving problems found in fuzzy and neuro-fuzzy design, namely incorporation of a-priori knowledge, gradient algorithms initialization and model complexity reduction.

The activity of mouse Cerberus like 2 during cardiogenesis - genetic and morphogenetic studies

Cardiogenesis is a delicate and complex process that requires the coordination of an intricate network of pathways and the different cell types. Therefore, understanding heart development at the morphogenetic level is an essential requirement to uncover the causes of congenital heart disease and to provide insight for disease therapies. Mouse Cerberus like 2 (Cerl2) has been defined as a Nodal antagonist in the node with an important role in the Left-Right (L/R) axis establishment, at the early embryonic development. As expected, Cerl2 knockout mice (Cerl2-/-) showed multiple laterality defects with associated cardiac failure. In order to identify the endogenous role of Cerl2 during heart formation independent of its described functions in the node, we accurately analyzed animals where laterality defects were not present. We thereby unravel the consequences of Cerl2 lossof- function in the heart, namely increased left ventricular thickness due to hyperplasia of cardiomyocytes and de-regulated expression of cardiac genes. Furthermore, the Cerl2 mutant neonates present impaired cardiac function. Once that the cardiac expression of Cerl2 is mostly observed in the left ventricle until around midgestration, this result suggest a specific regulatory role of Cerl2 during the formation of the left ventricular myoarchitecture. Here, we present two possible molecular mechanisms underlying the cardiac Cerl2 function, the regulation of Cerl2 antagonist in activation of the TGFßs/Nodal/Activin/Smad2 signaling identified by increased Smad2 phosphorilation in Cerl2-/- hearts and the negative feedback between Cerl2 and Wnt/ß-catenin signaling in heart formation. In this work and since embryonic stem cells derived from 129 mice strain is extensively used to produce targeted mutants, we also present echocardiographic reference values to progressive use of juveniles and young adult 129/Sv strain in cardiac studies. In addition, we investigate the cardiac physiology of the surviving Cerl2 mutants in 129/Sv background over time through a follow-up study using echocardiographic analysis. Our results revealed that Cerl2-/- mice are able to improve and maintain the diastolic and most of systolic cardiac physiologic parameters as analyzed until young adult age. Since Cerl2 is no longer expressed in the postnatal heart, we suggest that an intrinsic and compensatory mechanism of adaptation may be active for recovering the decreased cardiac function found in Cerl2 mutant neonates. Altogether, these data highlight the role of Cerl2 during embryonic heart development in mice. Furthermore, we also suggest that Cerl2-/- may be an interesting model to uncover the molecular, cellular and physiological mechanisms behind the improvement of the cardiac function, contributing to the development of therapeutic approaches to treat heart failures.

Differential regulation of hippocampal neurogenesis by nitric oxide following seizures

The fact that the adult brain is able to produce new neurons or glial cells from neural stem cells (NSC) became one of the most interesting and challenging fields of research in neuroscience. Endogenous adult neurogenesis occurs in two main regions of the brain: the subventricular zone (SVZ) of the lateral ventricles and the subgranular zone (SGZ) in the dentate gyrus. Brain injury may be accompanied by increased neurogenesis, although neuroinflammation promotes the activation of microglial cells that can be detrimental to the neurogenic process. Nitric oxide (NO) is one of the factors released by microglia that can be proneurogenic. The mechanism by which NO promotes the proliferation of NSCs has been intensively studied. However, little is known about the role of NO in migration, survival and differentiation of the newborn cells. The aim of this work was to investigate the role of NO from inflammatory origin in proliferation, migration, differentiation and survival of NSCs from the dentate gyrus in a mouse model of status epilepticus. We also assessed neuroinflammation in the same injury model. Our work showed that NO increased proliferation of the early-born cells after seizures, but is detrimental for their survival. NO also increased migration of neuroblasts. Moreover, NO was important to maintain long-term neuroinflammation. Taken together, these results show that NO may be a good target to promote proliferation and migration of NSCs following seizures, but compromises survival of early-born cells.

Molecular structure and functional analysis of runx3 in zebrafish

Tese de doutoramento, Ciências Biomédicas, Universidade do Algarve, Departamento de Ciências Biomédicas e Medicina, 2014

A solidão nos idosos em função da rede de suporte social, no concelho de Vila do Bispo

Dissertação de mestrado, Gerontologia Social, Escola Superior de Educação e Comunicação, Escola Superior de Saúde, Universidade do Algarve, 2015