881 resultados para context space theory


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The Indian economy characterized variously as a slumbering giant, powerful tiger, and the most promising market has witnessed a slowdown, occasional disturbances in the industrial relations space, and attention of the world in the last five years. In this special issue, we raise pertinent questions and present research on multiple dimensions of the dynamic and rapidly changing business environment of India. The suitability of management models and frameworks developed in the North American contexts in emerging markets like India and China is questioned. One example of how the well-established models in the literature on success of international joint ventures were insufficient to explain the success of three international joint ventures in the insurance space in India is presented as case in point. Finally, the nine papers that materially contribute to the theme of this special issue are introduced. © 2016 Wiley Periodicals, Inc.

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Continuous-valued recurrent neural networks can learn mechanisms for processing context-free languages. The dynamics of such networks is usually based on damped oscillation around fixed points in state space and requires that the dynamical components are arranged in certain ways. It is shown that qualitatively similar dynamics with similar constraints hold for a(n)b(n)c(n), a context-sensitive language. The additional difficulty with a(n)b(n)c(n), compared with the context-free language a(n)b(n), consists of 'counting up' and 'counting down' letters simultaneously. The network solution is to oscillate in two principal dimensions, one for counting up and one for counting down. This study focuses on the dynamics employed by the sequential cascaded network, in contrast to the simple recurrent network, and the use of backpropagation through time. Found solutions generalize well beyond training data, however, learning is not reliable. The contribution of this study lies in demonstrating how the dynamics in recurrent neural networks that process context-free languages can also be employed in processing some context-sensitive languages (traditionally thought of as requiring additional computation resources). This continuity of mechanism between language classes contributes to our understanding of neural networks in modelling language learning and processing.

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The second half of the XX century was marked by a great increase in the number of people living in cities. Urban agglomerations became poles of attraction for migration flows and these phenomena, coupled with growing car-ownership rates, resulted in the fact that modern transport systems are characterized by large number of users and traffic modes. The necessity to organize these complex systems and to provide space for different traffic modes changed the way cities look. Urban areas had to cope with traffic flows, and as a result nowadays typical street pattern consists of a road for motorized vehicles, a cycle lane (in some cases), pavement for pedestrians, parking and a range of crucial signage to facilitate navigation and make mobility more secure. However, this type of street organization may not be desirable in certain areas, more specifically, in the city centers. Downtown areas have always been places where economic, leisure, social and other types of facilities are concentrated, not surprisingly, they often attract large number of people and this frequently results in traffic jams, air and noise pollution, thus creating unpleasant environment. Besides, excessive traffic signage in central locations can harm the image and perception of a place, this relates in particular to historical centers with architectural heritage.

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In the literature on risk, one generally assume that uncertainty is uniformly distributed over the entire working horizon, when the absolute risk-aversion index is negative and constant. From this perspective, the risk is totally exogenous, and thus independent of endogenous risks. The classic procedure is "myopic" with regard to potential changes in the future behavior of the agent due to inherent random fluctuations of the system. The agent's attitude to risk is rigid. Although often criticized, the most widely used hypothesis for the analysis of economic behavior is risk-neutrality. This borderline case must be envisaged with prudence in a dynamic stochastic context. The traditional measures of risk-aversion are generally too weak for making comparisons between risky situations, given the dynamic �complexity of the environment. This can be highlighted in concrete problems in finance and insurance, context for which the Arrow-Pratt measures (in the small) give ambiguous.

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This paper aims at providing a Bayesian parametric framework to tackle the accessibility problem across space in urban theory. Adopting continuous variables in a probabilistic setting we are able to associate with the distribution density to the Kendall's tau index and replicate the general issues related to the role of proximity in a more general context. In addition, by referring to the Beta and Gamma distribution, we are able to introduce a differentiation feature in each spatial unit without incurring in any a-priori definition of territorial units. We are also providing an empirical application of our theoretical setting to study the density distribution of the population across Massachusetts.

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A conceptually new approach is introduced for the decomposition of the molecular energy calculated at the density functional theory level of theory into sum of one- and two-atomic energy components, and is realized in the "fuzzy atoms" framework. (Fuzzy atoms mean that the three-dimensional physical space is divided into atomic regions having no sharp boundaries but exhibiting a continuous transition from one to another.) The new scheme uses the new concept of "bond order density" to calculate the diatomic exchange energy components and gives them unexpectedly close to the values calculated by the exact (Hartree-Fock) exchange for the same Kohn-Sham orbitals

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PURPOSE: The current study tested the applicability of Jessor's problem behavior theory (PBT) in national probability samples from Georgia and Switzerland. Comparisons focused on (1) the applicability of the problem behavior syndrome (PBS) in both developmental contexts, and (2) on the applicability of employing a set of theory-driven risk and protective factors in the prediction of problem behaviors. METHODS: School-based questionnaire data were collected from n = 18,239 adolescents in Georgia (n = 9499) and Switzerland (n = 8740) following the same protocol. Participants rated five measures of problem behaviors (alcohol and drug use, problems because of alcohol and drug use, and deviance), three risk factors (future uncertainty, depression, and stress), and three protective factors (family, peer, and school attachment). Final study samples included n = 9043 Georgian youth (mean age = 15.57; 58.8% females) and n = 8348 Swiss youth (mean age = 17.95; 48.5% females). Data analyses were completed using structural equation modeling, path analyses, and post hoc z-tests for comparisons of regression coefficients. RESULTS: Findings indicated that the PBS replicated in both samples, and that theory-driven risk and protective factors accounted for 13% and 10% in Georgian and Swiss samples, respectively in the PBS, net the effects by demographic variables. Follow-up z-tests provided evidence of some differences in the magnitude, but not direction, in five of six individual paths by country. CONCLUSION: PBT and the PBS find empirical support in these Eurasian and Western European samples; thus, Jessor's theory holds value and promise in understanding the etiology of adolescent problem behaviors outside of the United States.

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The theme of this thesis is context-speci c independence in graphical models. Considering a system of stochastic variables it is often the case that the variables are dependent of each other. This can, for instance, be seen by measuring the covariance between a pair of variables. Using graphical models, it is possible to visualize the dependence structure found in a set of stochastic variables. Using ordinary graphical models, such as Markov networks, Bayesian networks, and Gaussian graphical models, the type of dependencies that can be modeled is limited to marginal and conditional (in)dependencies. The models introduced in this thesis enable the graphical representation of context-speci c independencies, i.e. conditional independencies that hold only in a subset of the outcome space of the conditioning variables. In the articles included in this thesis, we introduce several types of graphical models that can represent context-speci c independencies. Models for both discrete variables and continuous variables are considered. A wide range of properties are examined for the introduced models, including identi ability, robustness, scoring, and optimization. In one article, a predictive classi er which utilizes context-speci c independence models is introduced. This classi er clearly demonstrates the potential bene ts of the introduced models. The purpose of the material included in the thesis prior to the articles is to provide the basic theory needed to understand the articles.

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The attached file is created with Scientific Workplace Latex

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La présente thèse se base sur les principes de la théorisation ancrée (Strauss & Corbin, 1998) afin de répondre au manque de documentation concernant les stratégies adoptées par des « agents intermédiaires » pour promouvoir l’utilisation des connaissances issues de la recherche auprès des intervenants en éducation. Le terme « agent intermédiaire » réfère aux personnes qui sont positionnées à l’interface entre les producteurs et les utilisateurs des connaissances scientifiques et qui encouragent et soutiennent les intervenants scolaires dans l’application des connaissances scientifiques dans leur pratique. L’étude s’inscrit dans le cadre d’un projet du ministère de l’Éducation, du Loisir et du Sport du Québec visant à améliorer la réussite scolaire des élèves du secondaire provenant de milieux défavorisés. Des agents intermédiaires de différents niveaux du système éducatif ayant obtenu le mandat de transférer des connaissances issues de la recherche auprès des intervenants scolaires dans les écoles visées par le projet ont été sollicités pour participer à l’étude. Une stratégie d’échantillonnage de type « boule-de-neige » (Biernacki & Waldorf, 1981; Patton, 1990) a été employée afin d’identifier les personnes reconnues par leurs pairs pour la qualité du soutien offert aux intervenants scolaires quant à l’utilisation de la recherche dans leur pratique. Seize entrevues semi-structurées ont été réalisées. L’analyse des données permet de proposer un modèle d’intervention en transfert de connaissances composé de 32 stratégies d’influence, regroupées en 6 composantes d’intervention, soit : relationnelle, cognitive, politique, facilitatrice, évaluative, de même que de soutien et de suivi continu. Les résultats suggèrent que les stratégies d’ordre relationnelle, cognitive et politique sont interdépendantes et permettent d’établir un climat favorable dans lequel les agents peuvent exercer une plus grande influence sur l’appropriation du processus de l’utilisation des connaissances des intervenants scolaire. Ils montrent en outre que la composante de soutien et de suivi continu est importante pour maintenir les changements quant à l’utilisation de la recherche dans la pratique chez les intervenants scolaires. Les implications théoriques qui découlent du modèle, ainsi que les explications des mécanismes impliqués dans les différentes composantes, sont mises en perspective tant avec la documentation scientifique en transfert de connaissances dans les secteurs de la santé et de l’éducation, qu’avec les travaux provenant de disciplines connexes (notamment la psychologie). Enfin, des pistes d’action pour la pratique sont proposées.

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Objectives: This article further examines the phenomenon of aggression inside barrooms by relying on the “bouncer-ethnographer” methodology. The objective is to investigate variations in aggression through time and space according to the role and routine of the target in a Montreal barroom. Thus, it provides an examination of routine activity theory at the micro level: the barroom. Methods: For a period of 258 nights of observation in a Canadian barroom, bouncers completed reports on each intervention and provided specific information regarding what happened, when and where within the venue. In addition, the bouncer-ethnographer compiled field observations and interviews with bar personnel in order to identify aggression hotspots and “rush hours” for three types of actors within barrooms: (a) bouncers, (b) barmaids and (c) patrons. Findings: Three different patterns emerged for shifting hotspots of aggression depending on the target. As the night progresses, aggressive incidents between patrons, towards barmaids and towards bouncers have specific hotspots and rush hours influenced by the specific routine of the target inside the barroom. Implications: The current findings enrich those of previous work by pointing to the relevance of not only examining the environmental characteristics of the barroom, but also the role of the target of aggression. Crime opportunities follow routine activities, even within a specific location on a micro level. Routine activity theory is thus relevant in this context, because as actors in differing roles follow differing routines, as do their patterns of victimization.