919 resultados para Linear network analysis


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INTRODUCTION AND AIMS: Adult orthotopic liver transplantation (OLT) is associated with considerable blood product requirements. The aim of this study was to assess the ability of preoperative information to predict intraoperative red blood cell (RBC) transfusion requirements among adult liver recipients. METHODS: Preoperative variables with previously demonstrated relationships to intraoperative RBC transfusion were identified from the literature: sex, age, pathology, prothrombin time (PT), factor V, hemoglobin (Hb), and platelet count (plt). These variables were then retrospectively collected from 758 consecutive adult patients undergoing OLT from 1997 to 2007. Relationships between these variables and intraoperative blood transfusion requirements were examined by both univariate analysis and multiple linear regression analysis. RESULTS: Univariate analysis confirmed significant associations between RBC transfusion and PT, factor V, Hb, Plt, pathology, and age (P values all < .001). However, stepwise backward multivariate analysis excluded variables Plt and factor V from the multiple regression linear model. The variables included in the final predictive model were PT, Hb, age, and pathology. Patients suffering from liver carcinoma required more blood products than those suffering from other pathologies. Yet, the overall predictive power of the final model was limited (R(2) = .308; adjusted R(2) = .30). CONCLUSION: Preoperative variables have limited predictive power for intraoperative RBC transfusion requirements even when significant statistical associations exist, identifying only a small portion of the observed total transfusion variability. Preoperative PT, Hb, age, and liver pathology seem to be the most significant predictive factors but other factors like severity of liver disease, surgical technique, medical experience in liver transplantation, and other noncontrollable human variables may play important roles to determine the final transfusion requirements.

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RESUMO:O objectivo deste estudo foi analisar a relação entre mobilidade funcional, risco de queda, nível de actividade física e percepção de saúde de 34 indivíduos praticantes (n=18) e não praticantes (n=16) de exercício físico duas ou mais vezes por semana durante pelo menos 45 minutos, residentes na comunidade e ambulatórios. Tipo de estudo: transversal exploratório-descritivo. Metodologia: foi feito um levantamento das variáveis de caracterização (idade, sexo, habilitações literárias, situação sócio-económica, situação familiar) e do estado cognitivo e estado emocional/depressão (Mini-Mental State Examination e Geriatric Depression Scale). As variáveis em análise foram: a mobilidade funcional avaliada através do Timed up and GoTest, o risco de queda medido com o Funtional Reach Test, o nível de actividade física avaliado através do Questionário Internacional de Actividade Física (IPAQ) e a percepção de saúde medida através do SF-6D. Foi também questionada a prática de alguma modalidade de exercício físico, da sua frequência e duração. Os dados foram analisados através de estatística descritiva, foi realizada uma regressão linear múltipla e uma análise bivariada das correlações, utilizando o coeficiente de correlação linear de Pearson (p ≤ 0,05).Resultados: verificou-se que, na amostra global, a maioria dos indivíduos apresentou uma mobilidade funcional considerada normal (TUG<10 segundos), e um risco de queda moderado (FRT entre 15,24 e 25,40 cm), embora sem diferenças entre os grupos em análise. A actividade física apresentou uma duração média de 685,88±540,16 minutos por semana, sendo que 18 indivíduos praticavam exercício físico pelo menos 45 minutos e duas ou mais vezes por semana.A percepção do estado de saúde foi bastante satisfatória, sendo a pontuação média do SF-6D de 0,915±0,067. A análise entre grupos demonstrou que o grupo que praticava exercício físico apresentava um maior número de indivíduos na faixa etária dos 65-74 anos, tinha mais escolarização e melhor estado cognitivo. Estes indivíduos eram fisicamente mais activos e faziam-o, na sua maioria, com uma frequência bissemanal, apenas um desempenhando uma modalidade de intensidade vigorosa. A análise estatística demonstrou que: a mobilidade funcional e o risco de queda eram mais desfavoráveis nos indivíduos com mais idade; o estado cognitivo estava associado a maior mobilidade funcional; uma boa mobilidade funcional correspondeu a um risco de queda reduzido, a mais prática de actividade física, a melhor percepção do estado de saúde e a manutenção do estado cognitivo. Os indivíduos com menor risco de queda apresentaram melhor estado cognitivo e emocional. E este último correspondeu a uma melhor percepção do estado de saúde e a um melhor estado cognitivo. Conclusão: a manutenção da mobilidade funcional reduz o risco de queda aumenta a prática de actividade física e melhora a percepção de saúde de indivíduos com 65 ou mais anos residentes na comunidade.--------- ABSTRACT: Objective: the aim of this study was to analyze the relationship between functional mobility, falls risk, level of physical activity and health perception in a sample of 34 subjects, 18 that practice exercise two or more times a week for at least 45 minutes and 16 that don’t practice exercise, residents and community. Designs: cross-sectional exploratory-descriptive survey. Methods: descriptive variables are age, sex, education, socio-economic level, family status, cognitive status (Mini-Mental State Examination) and emotional status/depression (Geriatric Depression Scale). We analyze the functional mobility with the Timed up and Go Test, the falls risk with Functional Reach Test, the level of physical activity with the International Physical Activity Questionnaire (IPAQ) and health perception with SF-6D. We also questioned the practice of exercise, their frequency and duration. Data were analyzed using descriptive statistics, a multiple linear regression analysis and bivariate correlations, using the linear correlation coefficient of Pearson (p ≤ 0.05). Results: we found that, in the total sample, most individuals had considered a normal functional mobility (TUG <10 seconds), and a moderate falls risk (FRT between 15.24 and 25.40 cm), but no difference between groups. Physical activity showed an mean of 685.88 ± 540.16 minutes per week, with 18 individuals pratice physical exercise at least 45 minutes and two or more times per week. The mean score of the SF-6D was 0.915 ± 0.067 and the perception of health was satisfactory. The analysis between groups showed that the group that practice physical exercise had a greater number of individuals aged 65-74 years, had more schooling and better cognitive status. These subjects were more physically active and mostly did it two times a weak and only one playing a kind of vigorous intensity. The multiple linear regression and correlations, using the linear correlation coefficient of Pearson (p≤0.05) showed that: functional mobility and fall risk decrease with age increase. The cognitive status was associated with greater functional mobility, a good functional mobility corresponded to a reduced falls risk, more physical activity, a better perception of health status and maintenance of cognitive status. Subjects with lower falls risk had better cognitive and emotional state. And subjects with a better emotional status have a better health perception and better cognitive status. Conclusion: the maintenance of functional mobility reduces falls risk, increase physical activity and improves health perception of individuals with 65 years or older living in the community.

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The research presented in this paper proposes a novel quantitative model for decomposing and assessing the Value for the Customer. The proposed approach builds on the different dimensions of the Value Network analysis proposed by Verna Allee having as background the concept of Value for the Customer proposed by Woodall. In this context, the Value for the Customer is modelled as a relationship established between the exchanged deliverables and a combination of tangible and intangible assets projected into their endogenous or exogenous dimensions. The Value Network Analysis of the deliverables exchange enables an in-depth understanding of this frontier and the implicit modelling of co-creation scenarios. The proposed Conceptual Model for Decomposing Value for the Customer combines several concepts: from the marketing area we have the concept of Value for the Customer; from the area of intellectual capital the concept of Value Network Analysis; from the collaborative networks area we have the perspective of the enterprise life cycle and the endogenous and exogenous perspectives; at last, the proposed model is supported by a mathematical formal description that stems from the area of Multi-Criteria Decision Making. The whole concept is illustrated in the context of a case study of an enterprise in the footwear industry (Pontechem). The merits of this approach seem evident from the contact with Pontechem as it provides a structured approach for the enterprises to assess the adequacy of their value proposition to the client/customer needs and how these relate to their endogenous and/or exogenous tangible or intangible assets. The proposed model, as a tool, may therefore be a useful instrument in supporting the commercialisation of new products and/or services.

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This study aims to assess the association between schistosomiasis and hookworm infection with hemoglobin levels of schoolchildren in northern Mozambique. Through a cross-sectional survey, 1,015 children from five to 12 years old in the provinces of Nampula, Cabo Delgado and Niassa were studied. Hookworm infection and urinary schistosomiasis were diagnosed, through Ritchie and filtration methods, with a prevalence of 31.3% and 59.1%, respectively. Hemoglobin levels were obtained with a portable photometer (Hemocue®). The average hemoglobin concentration was 10.8 ± 1.42 g/dL, and 62.1% of the children presented levels below 11.5 g/dL, of which 11.8% of the total number of children had hemoglobin levels below 9 g/dL. A multiple linear regression analysis demonstrated negative interactions between hemoglobin levels and ancylostomiasis, this being restricted to the province of Cabo Delgado (β = -0.55; p < 0.001) where an independent interaction between hemoglobin levels and urinary schistosomiasis was also observed (β = -0.35; p = 0.016). The logistical regression model indicated that hookworm infection represents a predictor of mild (OR = 1.87; 95% CI = 1.17-3.00) and moderate/severe anemia (OR = 2.71; 95% CI = 1.50 - 4.89). We concluded that, in the province of Cabo Delgado, hookworm and Schistosoma haematobium infections negatively influence hemoglobin levels in schoolchildren. Periodical deworming should be considered in the region. Health education and improvements in sanitary infrastructure could achieve long-term and sustainable reductions in soil-transmitted helminthiases and schistosomiasis prevalence rates.

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Publications are often used as a measure of research work success. Human T-lymphotropic virus (HTLV) type 1 and 2 are human retroviruses, which were discovered in the early 1980s, and it is estimated that 15-20 million people are infected worldwide. This article describes a bibliometric review and a coauthorship network analysis of literature on HTLV indexed in PubMed in a 24-year period. A total of 7,564 documents were retrieved, showing a decrease in the number of documents from 1996 to 2007. HTLV manuscripts were published in 1,074 journals. Japan and USA were the countries with the highest contribution in this field (61%) followed by France (8%). Production ranking changed when the number of publications was normalized by population (Dominican Republic and Japan), by gross domestic product (Guinea-Bissau and Gambia), and by gross national income per capita (Brazil and Japan). The present study has shed light on some of the defining features of scientific collaboration performed by HTLV research community, such as the existence of core researchers responsible for articulating the development of research in the area, facilitating wider collaborative relationships and the integration of new authors in the research groups.

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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

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The GxE interaction only became widely discussed from evolutionary studies and evaluations of the causes of behavioral changes of species cultivated in environments. In the last 60 years, several methodologies for the study of adaptability and stability of genotypes in multiple environments trials were developed in order to assist the breeder's choice regarding which genotypes are more stable and which are the most suitable for the crops in the most diverse environments. The methods that use linear regression analysis were the first to be used in a general way by breeders, followed by multivariate analysis methods and mixed models. The need to identify the genetic and environmental causes that are behind the GxE interaction led to the development of new models that include the use of covariates and which can also include both multivariate methods and mixed modeling. However, further studies are needed to identify the causes of GxE interaction as well as for the more accurate measurement of its effects on phenotypic expression of varieties in competition trials carried out in genetic breeding programs.

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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies

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Spatial analysis and social network analysis typically take into consideration social processes in specific contexts of geographical or network space. The research in political science increasingly strives to model heterogeneity and spatial dependence. To better understand and geographically model the relationship between “non-political” events, streaming data from social networks, and political climate was the primary objective of the current study. Geographic information systems (GIS) are useful tools in the organization and analysis of streaming data from social networks. In this study, geographical and statistical analysis were combined in order to define the temporal and spatial nature of the data eminating from the popular social network Twitter during the 2014 FIFA World Cup. The study spans the entire globe because Twitter’s geotagging function, the fundamental data that makes this study possible, is not limited to a geographic area. By examining the public reactions to an inherenlty non-political event, this study serves to illuminate broader questions about social behavior and spatial dependence. From a practical perspective, the analyses demonstrate how the discussion of political topics fluсtuate according to football matches. Tableau and Rapidminer, in addition to a set basic statistical methods, were applied to find patterns in the social behavior in space and time in different geographic regions. It was found some insight into the relationship between an ostensibly non-political event – the World Cup - and public opinion transmitted by social media. The methodology could serve as a prototype for future studies and guide policy makers in governmental and non-governmental organizations in gauging the public opinion in certain geographic locations.

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This work models the competitive behaviour of individuals who maximize their own utility managing their network of connections with other individuals. Utility is taken as a synonym of reputation in this model. Each agent has to decide between two variables: the quality of connections and the number of connections. Hence, the reputation of an individual is a function of the number and the quality of connections within the network. On the other hand, individuals incur in a cost when they improve their network of contacts. The initial value of the quality and number of connections of each individual is distributed according to an initial (given) distribution. The competition occurs over continuous time and among a continuum of agents. A mean field game approach is adopted to solve the model, leading to an optimal trajectory for the number and quality of connections for each individual.

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Introduction Collaboration is one of the defining features of contemporary scientific research, and it is particularly important with regard to neglected diseases that primarily affect developing countries. Methods The present study has identified publications on leishmaniasis in the Medline database from 1945 to 2010, analyzing them according to bibliometric indicators and statistics from social network analysis. Examining aspects such as scientific production, diachronic evolution, and collaboration and configuration of the research groups in the field, we have considered the different types of Leishmania studied and the institutional affiliation and nationality of the authors. Results Seven-hundred and thirty-five authors participate in 154 prominent research clusters or groups. Although the most predominant and consolidated collaborations are characterized by members from the same country studying the same type of Leishmania, there are also notable links between authors from different countries or who study different clinical strains of the disease. Brazil took the lead in this research, with numerous Brazilian researchers heading different clusters in the center of the collaboration network. Investigators from the USA, India, and European countries, such as France, Spain, the United Kingdom, and Italy, also stand out within the network. Conclusions Research should be fostered in countries such as Bangladesh, Nepal, Sudan, and Ethiopia, where there is a high prevalence of different forms of the disease but limited research development with reference authors integrated into the collaboration networks.

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Online third-party reviews have been grown over the last decade and they now play an important role as a tool for helping customers evaluate products and services that in many cases offer more than tangible features. This study intends to quantify the impact online ratings have over video game sales by conducting a linear regression analysis on 300 titles for the previous console generation (PlayStation® 3 and Xbox® 360) using a data from the video game industry to understand the existing influence on this particular market. The findings showed that these variables have a weak linear relationship thus suggesting that quality of a title explains little the commercial success of a video game and instead this should cover a wider range of factors. Afterwards, we compare results to previous ones and discuss the managerial implications for upcoming gaming generations.

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Tese de Doutoramento em Psicologia na área de especialização de Psicologia das Organizações apresentada ao ISPA - Instituto Universitário

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The main purpose of the present dissertation is the simulation of the response of fibre grout strengthened RC panels when subjected to blast effects using the Applied Element Method, in order to validate and verify its applicability. Therefore, four experimental models, three of which were strengthened with a cement-based grout, each reinforced by one type of steel reinforcement, were tested against blast effects. After the calibration of the experimental set-up, it was possible to obtain and compare the response to the blast effects of the model without strengthening (reference model), and a fibre grout strengthened RC panel (strengthened model). Afterwards, a numerical model of the reference model was created in the commercial software Extreme Loading for Structures, which is based on the Applied Element Method, and calibrated to the obtained experimental results, namely to the residual displacement obtained by the experimental monitoring system. With the calibration verified, it is possible to assume that the numerical model correctly predicts the response of fibre grout RC panels when subjected to blast effects. In order to verify this assumption, the strengthened model was modelled and subjected to the blast effects of the corresponding experimental set-up. The comparison between the residual and maximum displacements and the bottom surface’s cracking obtained in the experimental and the numerical tests yields a difference of 4 % for the maximum displacements of the reference model, and a difference of 4 and 10 % for the residual and maximum displacements of the strengthened model, respectively. Additionally, the cracking on the bottom surface of the models was similar in both methods. Therefore, one can conclude that the Applied ElementMethod can correctly predict and simulate the response of fibre grout strengthened RC panels when subjected to blast effects.