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listelement.badge.dso-typeItem, Detecção e classificação automáticas de alterações estruturais cerebrais em imagens de ressonância magnética para o auxílio ao diagnóstico do Alzheimer(Universidade Federal de São Carlos, 2021-09-21) Poloni, Katia Maria; Ferrari, Ricardo José; https://lattes.cnpq.br/8460861175344306; https://lattes.cnpq.br/8456178776986505Alzheimer's disease is a progressive and irreversible neurodegenerative condition with development characterized by asymmetrical brain atrophies. Across life, due to neuronal aging, a cognitively healthy brain presents structural changes. However, with the development of the Alzheimer's, these changes are more accentuated, being less intensive in the prodromal stage of Alzheimer's, known as mild cognitive impairment, and more pronounced as the disease progresses. In this research, we developed three approaches to aid in diagnosing patients with mild cognitive impairment and mild Alzheimer's disease, each of which analyzed distinct and complementary properties related to the disease, namely asymmetry, atrophy, and biological brain aging. In addition, we combined and tested the approaches to measure impact on outcomes. In the analysis of structural asymmetries, we extracted multi-scale attributes of the hippocampal regions and created an asymmetry index. We obtained classification results comparable to other studies focused on the hippocampal regions, and the created asymmetry index showed statistically significant results consistent with the medical literature. In the analysis of structural atrophies, we automatically selected and classify discriminative landmark points between populations. Next, we classify the images based on a quantitative assessment obtained from the results of the landmark points. The obtained image classification results surpassed many studies published in the literature and are comparable to others. In the analysis of the biological aging of the brain, we developed an age estimation model using deep learning and images of cognitively normal patients with the same age range as patients with mild cognitive impairment and mild Alzheimer's disease. The age estimation error between the groups showed statistically significant results and presented a significant correlation with the Mini-Mental State Examination clinical test. The estimation results were competitive among existing studies, but the classification results were below expectations. Finally, combining the first two approaches brought positive contributions to the results, with up to 3% gains in AUC.listelement.badge.dso-typeItem, Singularly nonautonomous semilinear evolution equations with almost sectorial operators(Universidade Federal de São Carlos, 2021-09-21) Belluzi, Maykel Boldrin; Nascimento, Marcelo José Dias; https://lattes.cnpq.br/7133572787875912; Schiabel, Karina; https://lattes.cnpq.br/2677541143976758; https://lattes.cnpq.br/4072119689022816A great variety of phenomena that happens in nature relies on the theory of differential equations to be properly modeled and explained. In this work we focus on a specific class of partial differential equations named singularly nonautonomous semilinear evolution equations with almost sectorial operator, and we provide solution and study the asymptotic dynamics for this type of equation. The abstract model considered is given by u_t +A(t) u = F(u), t > s, where A(t), t a real number, is a family of closed linear operators defined on a fixed dense subspace D and F is a nonlinearity. The term singularly nonautonomous is used to express the fact that the linear operator A(t) is time-dependent and the term almost sectorial comes from a deficiency in the resolvent estimate for those operators. The motivation to consider this type of problem comes from the fact that, when a problem is being modeled, it is natural to expect variations with time in the linear operator. A situation in which the linear operator is time-dependent could be, for instance, the diffusion in a medium that is affected by the season of the year or time of the day. Moreover, almost sectorial operators naturally emerge in applications involving domains with a handle, which we explore in this work. For this semilinear problem in the abstract setting we study local well-posedness, regularity properties of the solution, global well-posedness and existence of pullback attractor. In order to obtain those results, we introduce the concepts of semigroups and linear proceses of growth 1- associated to almost sectorial operators A(t) and we present several of their properties. They play an essential role in the construction of the local solution as well as in the study of the regularity properties of the solution. As far as the long-time dynamics of the problem, the fact that A(t) is time-dependent prevented us to use the classical approaches to obtain global estimates for parabolic problems. To overcome this setback, we developed an iterative method that allows one to obtain estimates of the solution in the spaces Lˆ{2ˆk} for any natural number k. To illustrate the results and ideas developed, the abstract theory is intercalated with an application of it to a singularly nonautonomous reaction-diffusion equation in domain with a handle. This type of domain consists in two open subsets in R^{N} connected by a line segment R_0 and the family of linear operators associated to this type of problem belongs to the class of almost sectorial operators. In physical terms, this problem could model, for instance, two isolated tanks (the open subsets in R^{N}), at certain temperature distribution, to which we attach a cable (R_0) connecting them, and it might be of interest to determine how the heat flow occurs in this new domain, formed by the two open sets and the line segment. With the abstract theory developed in this work, semilinear evolutions equations with time-dependent almost sectorial operators can be analyzed in terms of existence of local/global well-posedness, regularity properties of those solutions and existence of compact attracting sets that captures the long-time dynamics of the problem. Moreover the iterative method developed to obtain global estimates of the solutions is quiet general and can be adapted to others second order parabolic equations in the divergent form.