941 resultados para Link variables method


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Introduction: Hemiparesis is the most common sequels after Stroke. One of the side effects of the motor skills evident in hemiparesis is the tendency to remain in asymmetric posture, with lower distribution of weight on the side hemiparetic, which ends up leading to a deficit in balance. This set of changes can cause an asymmetrical type of gait, marked by difference between the lengths of the steps these individuals. Objective: The purpose of this study was to analyze the balance, the discharge of weight in the lower limbs and asymmetry of steps in hemiparetic individuals and sees if there is correlation between those variables. Method: A group of 12 hemiparetic individuals (55,33 ± 8,92 years), both sex, who suffered from strokes participated. All subjects performed the assessment of bilateral discharge of weight, the length of the steps and balance (Berg Balance Scale). The results for the difference in the discharge of weight of the lower limbs, asymmetry of the step and the performance on the test of balance were analyzed using the Sperman Correlation Coefficient with a significance level of 5% (p ≤ 0.05). Results: We found a significant correlation between balance and asymmetry of the steps (R = -0.72 and p = 0007), however, found no significant correlation between discharge of weight on each leg and the symmetry of the steps (R =- 0.07 and p = 0, 81) and between discharge of weight and balance (R =- 0.08 and p = 0.79) in these hemiparetic individuals. Conclusion: Can be conclude that hemiparetic individuals of these study show deficits in balance, difference in weight between the discharge of the lower limbs and asymmetry of step and correlation between the asymmetry of the step and balance.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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We use quantum link models to construct a quantum simulator for U(N) and SU(N) lattice gauge theories. These models replace Wilson’s classical link variables by quantum link operators, reducing the link Hilbert space to a finite number of dimensions. We show how to embody these quantum link models with fermionic matter with ultracold alkaline-earth atoms using optical lattices. Unlike classical simulations, a quantum simulator does not suffer from sign problems and can thus address the corresponding dynamics in real time. Using exact diagonalization results we show that these systems share qualitative features with QCD, including chiral symmetry breaking and we study the expansion of a chirally restored region in space in real time.

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Objectives: Recent research shows that the well-documented positive effects of marital stability on well-being and health outcomes are conditional upon the quality of marriage. To date, few studies have explored the relationship between marital satisfaction, well-being and health among very long-term married individuals. This study aims at identifying groups of long-term married persons with respect to marital satisfaction and comparing them longitudinally concerning their well-being outcomes, marital stressors, personality and socio-demographic variables. Method: Data are derived from a survey (data collection 2012 and 2014) with 374 continuously married individuals at wave 1 (mean age: 74.2 years, length of marriage: 49.2 years) and 252 at wave 2. Cluster analyses were performed comparing the clusters with regard to various well-being outcomes. The predictive power of cluster affiliation and various predictors at wave 1 on well-being outcomes at wave 2 was tested using regression analyses. Results: Two groups were identified, one happily the other unhappily married, with the happily married scoring higher on all well-being and health outcomes. Regression analyses revealed that group affiliation at wave 1 was not any longer predictive of health, emotional loneliness and hopelessness two years later, when taking into account socio-demographic variables, psychological resilience and marital strain, whereas it remained an important predictor of life satisfaction and social loneliness. Conclusion: Marital satisfaction is associated with health and well-being in older couples over time, whereas psychological resilience and marital strain are major predictors explaining the variance of these outcomes.

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This doctoral thesis explores some of the possibilities that near-field optics can bring to photovoltaics, and in particular to quantum-dot intermediate band solar cells (QD-IBSCs). Our main focus is the analytical optimization of the electric field distribution produced in the vicinity of single scattering particles, in order to produce the highest possible absorption enhancement in the photovoltaic medium in their surroundings. Near-field scattering structures have also been fabricated in laboratory, allowing the application of the previously studied theoretical concepts to real devices. We start by looking into the electrostatic scattering regime, which is only applicable to sub-wavelength sized particles. In this regime it was found that metallic nano-spheroids can produce absorption enhancements of about two orders of magnitude on the material in their vicinity, due to their strong plasmonic resonance. The frequency of such resonance can be tuned with the shape of the particles, allowing us to match it with the optimal transition energies of the intermediate band material. Since these metallic nanoparticles (MNPs) are to be inserted inside the cell photovoltaic medium, they should be coated by a thin insulating layer to prevent electron-hole recombination at their surface. This analysis is then generalized, using an analytical separation-of-variables method implemented in Mathematica7.0, to compute scattering by spheroids of any size and material. This code allowed the study of the scattering properties of wavelengthsized particles (mesoscopic regime), and it was verified that in this regime dielectric spheroids perform better than metallic. The light intensity scattered from such dielectric spheroids can have more than two orders of magnitude than the incident intensity, and the focal region in front of the particle can be shaped in several ways by changing the particle geometry and/or material. Experimental work was also performed in this PhD to implement in practice the concepts studied in the analysis of sub-wavelength MNPs. A wet-coating method was developed to self-assemble regular arrays of colloidal MNPs on the surface of several materials, such as silicon wafers, amorphous silicon films, gallium arsenide and glass. A series of thermal and chemical tests have been performed showing what treatments the nanoparticles can withstand for their embedment in a photovoltaic medium. MNPs arrays are then inserted in an amorphous silicon medium to study the effect of their plasmonic near-field enhancement on the absorption spectrum of the material. The self-assembled arrays of MNPs constructed in these experiments inspired a new strategy for fabricating IBSCs using colloidal quantum dots (CQDs). Such CQDs can be deposited in self-assembled monolayers, using procedures similar to those developed for the patterning of colloidal MNPs. The use of CQDs to form the intermediate band presents several important practical and physical advantages relative to the conventional dots epitaxially grown by the Stranski-Krastanov method. Besides, this provides a fast and inexpensive method for patterning binary arrays of QDs and MNPs, envisioned in the theoretical part of this thesis, in which the MNPs act as antennas focusing the light in the QDs and therefore boosting their absorption

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We explore the near-field concentration properties of dielectric spheroidal scatterers with sizes close to the wavelength, using an analytical separation-of-variables method. Such particles act as mesoscopic lenses whose physical parameters are optimized here for maximum scattered light enhancement in photovoltaic applications.

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Introdução: A doença cardiovascular é uma das principais causas de incapacidade e diminuição da qualidade de vida. O grande investimento na atuação preventiva ou de reabilitação impõe um apelo especial à conjugação de esforços por parte de todos os interlocutores. Neste contexto, o objetivo do presente estudo centrou-se em avaliar o impacto de um Programa de Reabilitação na qualidade de vida e outros indicadores de saúde em indivíduos que possuam doença cardíaca, analisando a influência das variáveis sociodemográficas, antropométricas, clínicas, de qualidade de vida e de atividade física. Método: Recorrendo a um estudo de natureza quantitativa, do tipo prospetivo com características pré-experimentais, inquirimos 48 indivíduos portadores de patologia cardíaca, na sua maioria do género masculino (75%), com idades compreendidas entre os 26 e 87 anos (M= 57.90; Dp= 12.23), casados (81.2%), reformados (45,8%), com fatores de risco cardiovascular (87.5%), que se encontram com algum grau de limitação física para atividades quotidianas. O protocolo de pesquisa inclui, além de uma ficha sociodemográfica e clínica, instrumentos de medida aferidos e validados para a população portuguesa (Qualidade de Vida e Índice de Atividade Física), os quais foram aplicados antes e após a Fase II do Programa de Reabilitação Cardíaca, Resultados: Após implementação do Programa de Reabilitação Cardíaca, os resultados evidenciam uma melhoria estatisticamente significativa nos dados antropométricos (peso, IMC e PA), nas características analíticas (CT, LDL, TG, HDL e glicemia), nos dados hemodinâmicos (PAS, PAD, FE%), na prova de esforço (METs e %FC) e ainda na qualidade de vida (nos seus domínios emocional, físico, social e global) e no índice de atividade física (vigorosa, moderada, caminhada, METs e tempo sentado). Conclusão: A evidência dos resultados obtidos dá corpo à importância duma abordagem multidisciplinar nos programas de reabilitação cardíaca, realçando a necessidade de aumentar a taxa de referenciação para os centros existentes e a necessidade de criar novos centros, de forma a se poderem proporcionar cuidados considerados essenciais na recuperação pós-evento agudo e na prevenção da doença cardiovascular e cardíaca em geral. Palavras-Chave: Reabilitação Cardíaca; Qualidade de Vida; Fatores de Risco Cardiovascular.

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Background: Even though caring remains the essence of nursing it is still an ambiguous concept as the lens through which each nurse perceives caring differs. The differences are due to multiple factors including the setting in which the nurse works. Nurses experience high levels of anxiety when caring for patients in acute settings. Despite an abundance of published studies on caring there is a dearth of research available that focuses on the relationship between caring and anxiety. Aim: The aim of this research study was to investigate caring and anxiety in a sample of registered nurses working in an acute hospital and to determine the relationship between these and other variables. Method: A quantitative descriptive study using a correlational design was employed, with a sample of 280 registered nurses. The Caring Behaviours Inventory-24 was used to measure caring and the State Trait Anxiety Inventory to measure Anxiety. The study was guided by the Theory of Human Caring (Watson 2008). Findings: Nurses reported high levels of caring and low levels of anxiety. A statistical significant relationship was found between caring and anxiety and between caring and supportive work environment and job satisfaction. A statistical significant relationship was found between anxiety and work environment, job satisfaction gender, age, relationship status and education. Conclusion: This is the first study to investigate the relationship between caring and anxiety in an acute hospital setting. This research contributes to advancing nursing knowledge by providing evidence of the relationship between caring and anxiety among nurses in an acute hospital setting. Despite nurses reporting high levels of caring and low levels of anxiety, it is important to further enhance caring and reduce anxiety levels among all nurses. Thus, educators and managers need to explore strategies for the alleviation of anxiety among nurses, practising in acute care settings.

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Esta dissertação propõe sete atividades acerca do estudo da circunferência para alunos do Ensino Médio. A maioria das atividades propostas utilizam o software gratuito de geometria dinâmica GeoGebra como ferramenta de aprendizagem. Programa com diversas vantagens. Além da concepção da geometria dinâmica, a associação entre Geometria e Álgebra, relação enfatizada até no seu nome. As atividades sugeridas abordam os seguintes conteúdos: equações da circunferência (reduzida e geral), análise da equação completa do 2o grau a duas variáveis, método de completar quadrados para reestabelecimento do centro e medida do raio da circunferência, posição relativa entre ponto e circunferência, reta e circunferência e entre duas circunferências. No presente trabalho consta ainda uma análise de alguns livros didáticos para ciência do que está sendo oportunizado ao professor como subsídio para suas aulas. Associamos esta análise também com a argumentação de que o produto deste trabalho é inovador. Mostraremos também a análise das atividades que embasaram a proposta desse trabalho quando aplicadas nas turmas de 3o ano do Instituto Federal do Rio Grande do Sul - Campus Rio Grande, assim como os resultados de uma pesquisa feita sobre os conhecimentos prévios dos alunos sobre geometria do Ensino Fundamental, especificamente relacionados ao círculo.

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Dissertação de Mestrado apresentada ao Instituto Superior de Psicologia Aplicada para obtenção de grau de Mestre na especialidade de Psicologia Clínica

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Dissertação de Mestrado apresentada ao Instituto Superior de Psicologia Aplicada para obtenção de grau de Mestre na especialidade de Psicologia Clínica.

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Many important problems in communication networks, transportation networks, and logistics networks are solved by the minimization of cost functions. In general, these can be complex optimization problems involving many variables. However, physicists noted that in a network, a node variable (such as the amount of resources of the nodes) is connected to a set of link variables (such as the flow connecting the node), and similarly each link variable is connected to a number of (usually two) node variables. This enables one to break the problem into local components, often arriving at distributive algorithms to solve the problems. Compared with centralized algorithms, distributed algorithms have the advantages of lower computational complexity, and lower communication overhead. Since they have a faster response to local changes of the environment, they are especially useful for networks with evolving conditions. This review will cover message-passing algorithms in applications such as resource allocation, transportation networks, facility location, traffic routing, and stability of power grids.

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This study subdivides the Potter Cove, King George Island, Antarctica, into seafloor regions using multivariate statistical methods. These regions are categories used for comparing, contrasting and quantifying biogeochemical processes and biodiversity between ocean regions geographically but also regions under development within the scope of global change. The division obtained is characterized by the dominating components and interpreted in terms of ruling environmental conditions. The analysis includes in total 42 different environmental variables, interpolated based on samples taken during Australian summer seasons 2010/2011 and 2011/2012. The statistical errors of several interpolation methods (e.g. IDW, Indicator, Ordinary and Co-Kriging) with changing settings have been compared and the most reasonable method has been applied. The multivariate mathematical procedures used are regionalized classification via k means cluster analysis, canonical-correlation analysis and multidimensional scaling. Canonical-correlation analysis identifies the influencing factors in the different parts of the cove. Several methods for the identification of the optimum number of clusters have been tested and 4, 7, 10 as well as 12 were identified as reasonable numbers for clustering the Potter Cove. Especially the results of 10 and 12 clusters identify marine-influenced regions which can be clearly separated from those determined by the geological catchment area and the ones dominated by river discharge.

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In this paper, a method of separating variables is effectively implemented for solving a time-fractional telegraph equation (TFTE) in two and three dimensions. We discuss and derive the analytical solution of the TFTE in two and three dimensions with nonhomogeneous Dirichlet boundary condition. This method can be extended to other kinds of the boundary conditions.