824 resultados para trust graph
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RESUMO - Introdução: Os critérios de adequação (Appropriate Use Criteria - AUC) em Ecocardiografia Transtorácica (ETT) foram publicados com o intuito de permitir o uso racional da ecocardiografia, de influenciar decisões clinicas, prestar cuidados de saúde de elevada qualidade e melhorar o outcome dos pacientes. A relação entre a adequação destes e o seu impacto clinico ainda não se encontra largamente estudada. Objectivo: Neste estudo pretendeu-se avaliar o grau de adesão aos AUC em ETT, em diferentes contextos de atendimento e de acordo com diferentes especialidades, bem como o impacto clínico do exame no outcome do paciente, num hospital público terciário no Reino Unido. Metodologia: 859 ETTs realizados consecutivamente no mês de Janeiro de 2014, foram revistos por forma a avaliar a sua adequação e foram classificados como adequados, incertos ou inadequados de acordo com as guidelines de 2011. De seguida os registos dos pacientes foram revistos com o intuito de avaliar o impacto clinico dos ETTs e foram classificados de acordo com uma das 3 seguintes categorias: (1) alteração ativa dos cuidados – por continuação ou descontinuação dos cuidados como resultado do ETT, (2) continuação dos cuidados – sem continuação ou descontinuação dos cuidados, mas comunicação ao paciente dos resultados do ETT, (3) sem alteração dos cuidados – os cuidados ao paciente já estavam a ser aplicados previamente ao resultado do ETT, causa de sintomas já estabelecida no momento da requisição para exame, exame prévio explicativo dos sintomas e sem indicação aguda para novo ETT, terapêutica não alterada ou inexistência de documentação relativa aos achados ecocardiográficos. Pacientes cujos registos não se encontravam disponíveis foram excluídos (259). Todas as classificações foram avaliadas por uma cardiologista independente, sem relação direta com o estudo. Resultados: A nossa amostra apresentou uma média de idades de 63 ± 17 anos, com uma equilíbrio de géneros. A maioria dos exames foi solicitada em contexto de ambulatório (81,4%), pela Cardiologia (50,3%) e pela Medicina Geral e Familiar (13,4%). Relativamente aos achados ecocardiográficos dos exames, 7,6% demonstraram disfunção sistólica do ventrículo esquerdo moderada a grave, 4,0% revelaram doença valvular grave e 5,1% hipertensão pulmonar significativa. Em relação à adequação dos pedidos para ETTs, 76,5% foram adequados, 7,1% inadequados e 12,6% incertos. Relativamente ao impacto clínico dos ETTs, 42,7% dos exames revelaram uma alteração ativa nos cuidados, 15,6% mostraram uma continuação dos cuidados e 11,5% demonstraram não haver alteração nos cuidados. A idade (P=0,05), o contexto de atendimento (P<0,01) e o pedido realizado pela especialidade medicina geral e familiar (MGF) (P=0,02) foram os preditores mais importantes de uma alteração ativa nos cuidados. Numa perspectiva de prestação de cuidados a uma população mais idosa, o contexto de atendimento, a presença de achados ecocardiográficos significativos e a não alteração dos cuidados apresentam uma relação significativa com a idade. Conclusões: Os dados demonstram que quase 8 em cada 10 ETTs foram considerados adequados e que 4 em cada 10 exames não apresentaram alteração ativa dos cuidados.
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As investors and other users of annual reports often focus their attention on graphs, it is important that they portray accurate and reliable information. However, previous studies show that graphs often distort information and mislead users. This study analyses graph usage in annual reports from the 52 most traded Norwegian companies. The findings suggest that Norwegian companies commonly use graphs, and that the graph distortions, presentational enhancement and measurement distortion, are present. No evidence of selectivity was found. This study recommends development of guidelines for graphical disclosure, and advises preparers and users of annual reports to be aware of misleading graphs.
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In 2008, the department of gynaecology and obstetrics of a university hospital centre implemented a program addressing interpersonal partner violence (screening, prevention and care of the patient victims). A qualitative survey was conducted to identify the needs and feelings of patients. The results show that patients are in favour of being actively and directly questioned about violence during the consultation and that they trust medical doctors and nurses to help and support them.
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Tutkimuksen päätavoitteena on ollut selvittää miten kansallinen ja organisaatiokulttuuri, niihin liittyvät normit ja arvot edesauttavat tai vaikeuttavat luottamuksen kehittymistä monikulttuurisissa tiimeissä maailmanlaajuisessa organisaatiossa. Tutkimuksen avulla haluttiin myös selvittää miten luottamus kehittyy hajautetuissa monikansallisissa tiimeissä WorldCom Internationalissa. Empiirinen tutkimusmenetelmä perustuu kvalitatiivisiin teemahaastatteluihin, jotka tehtiin WorldComin työntekijöille. Tutkimuksessa havaittiin, ettei yhteisten sosiaalisten normien merkitys luottamuksen syntymiselle ole niin merkittävä, koska WorldComin yhtenäiset toimintatavat sekä hallitseva amerikkalaisen emoyhtiön "kotikulttuuri" muodostavat yhtenäiset toimintalinjat tiimeissä. Tietokonevälitteisen kommunikoinnin jatkuva käyttö on edesauttanut työntekijöiden ns. sosiaalisen älyn kehittymistä, sillä henkilökohtaisen tapaamisen puuttuminen kehittää vastaavasti taitoja aistia ja tulkita sähköpostien tai puhelinneuvotteluiden aikana välittyviä vastapuolen "näkymättömiä" vihjeitä.
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Combining theories on social trust and social capital with sociopsychological approaches and applying contextual analyses to Swiss and European survey data, this thesis examines under what circumstances generalised trust, often understood as public good, may not benefit everyone, but instead amplify inequality. The empirical investigation focuses on the Swiss context, but considers different scales of analysis. Two broader questions are addressed. First, might generalised trust imply more or less narrow visions of community and solidarity in different contexts? Applying nonlinear principal component analysis to aggregate indicators, Study 1 explores inclusive and exclusive types of social capital in Europe, measured as regional configurations of generalised trust, civic participation and attitudes towards diversity. Study 2 employs multilevel models to examine how generalised trust, as an individual predisposition and an aggregate climate at the level of Swiss cantons, is linked to equality- directed collective action intention versus radical right support. Second, might high-trust climates impact negatively on disadvantaged members of society, precisely because they reflect a normative discourse of social harmony that impedes recognition of inequality? Study 3 compares how climates of generalised trust at the level of Swiss micro-regions and subjective perceptions of neighbourhood cohesion moderate the negative relationship between socio-economic disadvantage and mental health. Overall, demonstrating beneficial, as well as counterintuitive effects of social trust, this thesis proposes a critical and contextualised approach to the sources and dynamics of social cohesion in democratic societies. -- Cette thèse combine des théories sur le capital social et la confiance sociale avec des approches psychosociales et s'appuie sur des analyses contextuelles de données d'enquêtes suisses et européennes, afin d'étudier dans quelles circonstances la confiance généralisée, souvent présentée comme un bien public, pourrait ne pas bénéficier à tout le monde, mais amplifier les inégalités. Les études empiriques, centrées sur le contexte suisse, intègrent différentes échelles d'analyse et investiguent deux questions principales. Premièrement, la confiance généralisée implique-t-elle des visions plus ou moins restrictives de la communauté et de la solidarité selon le contexte? Dans l'étude 1, une analyse à composantes principales non-linéaire sur des indicateurs agrégés permet d'explorer des types de capital social inclusif et exclusif en Europe, mesurés par des configurations régionales de confiance généralisée, de participation civique, et d'attitudes envers la diversité. L'étude 2 utilise des modèles multiniveaux afin d'analyser comment la confiance généralisée, en tant que prédisposition individuelle et climat agrégé au niveau des cantons suisses, est associée à l'intention de participer à des actions collectives en faveur de l'égalité ou, au contraire, à l'intention de voter pour la droite radicale. Deuxièmement, des climats de haute confiance peuvent-ils avoir un impact négatif sur des membres désavantagés de la société, précisément parce qu'ils reflètent un discours normatif d'harmonie sociale qui empêche la reconnaissance des inégalités? L'étude 3 analyse comment des climats de confiance au niveau des micro-régions suisses et la perception subjective de faire partie d'un environnement cohésif modèrent la relation négative entre le désavantage socio-économique et la santé mentale. En démontrant des effets bénéfiques mais aussi contre-intuitifs de la confiance sociale, cette thèse propose une approche critique et contextualisée des sources et dynamiques de la cohésion sociale dans les sociétés démocratiques.
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Job satisfaction has been a frequently studied concept in organizational behavior. Past research has shown that trust in top management is an important factor influencing job satisfaction. To date, little attention has been paid to safety climate perceptions as a possible predictor of job satisfaction. In our study we investigated the direct and interactive effects of trust in top management and individual-level perceptions of safety climate in predicting job satisfaction. The findings of this study point to the importance of positive perceptions of safety climate on employees' job satisfaction when trust in top management is low.
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In a 2000 report entitled "Trust in government. Ethics measures in OECD countries," OECD Secretary-General Donald J. Johnston emphasized the fact that public ethics are considered as a keystone of good governance. Moreover, public ethics are a prerequisite to public trust, which is in turn vital not only to any public service, but also to any society in general. At the same time, transparency reforms have flourished over the last few years and have several times been designed as a response to public distrust. Therefore, ethics, transparency and trust are closely linked together in a supposed virtuous circle where transparency works as a factor of better public ethics and leads to more trust in government on the citizens' side. This article explores the links between transparency and levels of trust in 10 countries between 2007 and 2014, using open data indexes and access to information requests as proxies for transparency. A national ranking of transparency, based on requests submitted by citizens to the administration and open data indexes, is then proposed. Key findings show that there is no sharp decline of trust in government in all countries considered in this article, and that transparency and trust in government are not systematically positively associated. Therefore, this article challenges the common assumption, mostly found in the normative literature, about a positive interrelation between the two, where trust in government is conceived as a beneficial effect of administrative transparency.
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The paper concentrates on trust as a research topic that receives increasing attention from the side of different social disciplines. The author of this thesis attempts to identify the reasons of this phenomenon, as well as the decline in usage of the concepts conveying a congenial idea, such as, solidarity, cooperation, social cohesion, social capital or connectedness. The key hypotheses, such as paradigmatic change within the social sciences, emergence of risk society, proliferation of the postmodem condition, new infonnation and communication technologies and the crisis of democracy are considered through the works of the authors who now mainly responsible for the shaping of the discourse of trust. The concepts of Luhmann, Putnam, Sztompka, Fukuyama and Hardin are analyzed from an epistemological viewpoint in its ontological and political implications. The primary goal of the paper is to overview trust from the methodological viewpoint, illustrating the limitations of the concept as a research strategy as weII as it advantages in the epoch when the social sciences acquire a status of moral disciplines.
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The hyper-star interconnection network was proposed in 2002 to overcome the drawbacks of the hypercube and its variations concerning the network cost, which is defined by the product of the degree and the diameter. Some properties of the graph such as connectivity, symmetry properties, embedding properties have been studied by other researchers, routing and broadcasting algorithms have also been designed. This thesis studies the hyper-star graph from both the topological and algorithmic point of view. For the topological properties, we try to establish relationships between hyper-star graphs with other known graphs. We also give a formal equation for the surface area of the graph. Another topological property we are interested in is the Hamiltonicity problem of this graph. For the algorithms, we design an all-port broadcasting algorithm and a single-port neighbourhood broadcasting algorithm for the regular form of the hyper-star graphs. These algorithms are both optimal time-wise. Furthermore, we prove that the folded hyper-star, a variation of the hyper-star, to be maixmally fault-tolerant.
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Complex networks can arise naturally and spontaneously from all things that act as a part of a larger system. From the patterns of socialization between people to the way biological systems organize themselves, complex networks are ubiquitous, but are currently poorly understood. A number of algorithms, designed by humans, have been proposed to describe the organizational behaviour of real-world networks. Consequently, breakthroughs in genetics, medicine, epidemiology, neuroscience, telecommunications and the social sciences have recently resulted. The algorithms, called graph models, represent significant human effort. Deriving accurate graph models is non-trivial, time-intensive, challenging and may only yield useful results for very specific phenomena. An automated approach can greatly reduce the human effort required and if effective, provide a valuable tool for understanding the large decentralized systems of interrelated things around us. To the best of the author's knowledge this thesis proposes the first method for the automatic inference of graph models for complex networks with varied properties, with and without community structure. Furthermore, to the best of the author's knowledge it is the first application of genetic programming for the automatic inference of graph models. The system and methodology was tested against benchmark data, and was shown to be capable of reproducing close approximations to well-known algorithms designed by humans. Furthermore, when used to infer a model for real biological data the resulting model was more representative than models currently used in the literature.
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A complex network is an abstract representation of an intricate system of interrelated elements where the patterns of connection hold significant meaning. One particular complex network is a social network whereby the vertices represent people and edges denote their daily interactions. Understanding social network dynamics can be vital to the mitigation of disease spread as these networks model the interactions, and thus avenues of spread, between individuals. To better understand complex networks, algorithms which generate graphs exhibiting observed properties of real-world networks, known as graph models, are often constructed. While various efforts to aid with the construction of graph models have been proposed using statistical and probabilistic methods, genetic programming (GP) has only recently been considered. However, determining that a graph model of a complex network accurately describes the target network(s) is not a trivial task as the graph models are often stochastic in nature and the notion of similarity is dependent upon the expected behavior of the network. This thesis examines a number of well-known network properties to determine which measures best allowed networks generated by different graph models, and thus the models themselves, to be distinguished. A proposed meta-analysis procedure was used to demonstrate how these network measures interact when used together as classifiers to determine network, and thus model, (dis)similarity. The analytical results form the basis of the fitness evaluation for a GP system used to automatically construct graph models for complex networks. The GP-based automatic inference system was used to reproduce existing, well-known graph models as well as a real-world network. Results indicated that the automatically inferred models exemplified functional similarity when compared to their respective target networks. This approach also showed promise when used to infer a model for a mammalian brain network.
Object-Oriented Genetic Programming for the Automatic Inference of Graph Models for Complex Networks
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Complex networks are systems of entities that are interconnected through meaningful relationships. The result of the relations between entities forms a structure that has a statistical complexity that is not formed by random chance. In the study of complex networks, many graph models have been proposed to model the behaviours observed. However, constructing graph models manually is tedious and problematic. Many of the models proposed in the literature have been cited as having inaccuracies with respect to the complex networks they represent. However, recently, an approach that automates the inference of graph models was proposed by Bailey [10] The proposed methodology employs genetic programming (GP) to produce graph models that approximate various properties of an exemplary graph of a targeted complex network. However, there is a great deal already known about complex networks, in general, and often specific knowledge is held about the network being modelled. The knowledge, albeit incomplete, is important in constructing a graph model. However it is difficult to incorporate such knowledge using existing GP techniques. Thus, this thesis proposes a novel GP system which can incorporate incomplete expert knowledge that assists in the evolution of a graph model. Inspired by existing graph models, an abstract graph model was developed to serve as an embryo for inferring graph models of some complex networks. The GP system and abstract model were used to reproduce well-known graph models. The results indicated that the system was able to evolve models that produced networks that had structural similarities to the networks generated by the respective target models.
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Indenture between Alfred Sanderson Woodruff and the United States Trust Company of New York. The proceeds would be paid to his estate for his successors. January 12, 1894.
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Indenture between Hamilton Killaly Woodruff and the United States Trust Company of New York. The proceeds would be paid to his successors. (This is a handwritten copy)