568 resultados para Susceptibilidade magnetica


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Pós-graduação em Fisiopatologia em Clínica Médica - FMB

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Pós-graduação em Agronomia (Agricultura) - FCA

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Report of an experience of nursing students in providing care to a patient with epidermodysplasia verruciformis, during the internship in the discipline Nursing in Transmittable Diseases, at the dermatology ward of a teaching hospital, located in the state of São Paulo, Brazil, in 2009. This is a rare genodermatosis, susceptible to infection with different types of human papilloma viruses, that cause exacerbated physical changes that impact the psyche of the affected individual. Care delivery was based on the assistance complexity indicated by the application of the Patient Classification System proposed by Perroca. The experience allowed students to learn how to cope with a patient affected by a rare and complex disease, of difficult resolution, and to provide integral care to this individual, perceiving him beyond the lesions. One conclude that the experience has greatly contributed to the growth of the students as future professionals.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Química - IQ

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Pós-graduação em Zootecnia - FCAV

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Pós-graduação em Química - IQ

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Pós-graduação em Engenharia Civil e Ambiental - FEB

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Pós-graduação em Agronomia (Entomologia Agrícola) - FCAV

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The use of multimodal neuroimaging techniques has been helpful in the investigation of epileptogenic zone in patients with refractory epilepsies. This work aims to describe an ictal event during EEG-fMRI performed simultaneously in a 39-year-old man with refractory epilepsy. The EEG data were recorded at a sampling rate of 5 kHz, using a BrainAmp (BrainProducts, München, Germany) amplifier, with 64 MR (magnetic resonance) compatible Ag/AgCl electrodes. MR images were acquired using a 3T scanner in 3 sequences of 6 minutes of echo-planar images (EPIs), with TR = 2s, being the last sequence stopped after the ictal event. The EEG was corrected for gradient and pulse artifacts using the Brain Vision Analyzer2 software (BrainProducts), and the functional images were realigned, slice-timing corrected, normalized and smoothed. The start of the ictal changes was used for the evaluation of the BOLD response in MR images, using a t-test with a minimum cluster of 5 voxels, p <0.005 (T>2.5). The patient had a partial complex seizure, as noted by neurologist. The fMRI data showed positive BOLD responses (activation) in dysplastic areas, but showed the most significant activation outside the lesion, in areas compatible with secondary spread of the epileptic focus, probably caused by motor reaction also observed during the seizure. As a conclusion, we note that the technique of EEG-fMRI can detect the epileptogenic zone in patients with refractory epilepsy, but areas of dissemination of primary epileptogenic focus may show significant activation, introducing additional difficulties to the interpretation of the results

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Brazil is a major world producer and exporter of agricultural products like soybeans, sugar, coffee, orange and tobacoo. However, the action of phytopathogenic fungi has been one of the largest challenges encountered in the field as they are responsible for approximately 25 to 50 per cent of losses in crops of fruits and vegetables. The presence of these pathogens is always a problem, because the damage on the tissues and organs promote lesions which decreses growth vegetation and often leads the individual (host) to death. Therefore, it is crucial to understand the process of spreading of these pathogens in the field to develop strategies which prevent the epidemics caused by them. In this study, the dispersal of fungi phytopathogenic in the field was modeled using the automata cellular formalism. The growth rate of infected plants population was measured by the radius of gyration and the influence of host different susceptibility degrees into the disease spread was assessed. The spatial anisotropy related to the plant-to-plant space and the system’s response to distinct seasonal patterns were also evaluated. The results obtained by a mean field model (spatially implicit models) emphasized the importance of the spatial structure on the spreading process, and dispersal patterns obtained by simulation (using a cellular automata) were in agreement with thse observed in data. All computational implementation was held in language Cl

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The Kaposi-associated Herpesvirus (KSHV) also known as Human Herpesvirus 8 (HHV-8) is associated with the development of Kaposi’s sarcoma (KS) and others limphoprolipheratives diseases such as Primary Effusion Lymphoma (PEL) and Multicentric Castleman Disease (MCD). Even though the virus is considered lymphotropic, it is able to infect others cell types such as macrophages, dendritic cells, endothelial cells, monocytes and fibroblasts. After infection, KSHV be latent expressing essential viral genes to its maintenance in a infected cell. However, in some circumstances may occur the reactivation of lytic cycle producing new viral particles. K1 protein of KSHV interferes in the cellular signaling inducing proliferation and supporting cellular transformation. K1 is encoded by viral ORF-K1, which shows high variability between different genotypes of KSHV. So far, it is not clear whether different isoforms of K1 have specific immunobiological features. The KSHV latency is maintained under strict control by the immune system supported by an adequate antigen presentation involving Human Leucocyte Antigen (HLA) class I and II. Polymorphisms of HLA class I and II genes confer an enormous variability in molecules that recognize a large amount of antigens, but also can increase the susceptibility to autoimmune diseases. Therefore, the present study aims to genotype HLA class I (A and B) and class II (DR and DQ) from volunteers to identify haplotypes that can provide better response to K1 epitopes of different KSHV genotypes. First of all, 20 volunteers were selected to genotype HLA genes. In our results we observed prevalence of certain HLA class I haplotypes as HLAA1, HLA-A2, HLA-A24, HLA-A26, HLA-B8, HLA-B18 e HLA-B44. After the in silico analysis using BIMAS and SYFPEITHI databases, we observed high scores for epitopes from the B genotype of KSHV, indicating...(Complete abstract click electronic access below)