The model formulated

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  • In 1977, Dr. George Engel’s seminal article on the biopsychosocial model of disease, “The Need for a New Medical Model: A Challenge for Biomedicine,” was published in Science. Over 20 years later, the article is still required reading in many training programs in psychiatry, nursing, psychology, and social work, because the biopsychosocial model advances a comprehensive understanding of disease and treatment. The model is derived from general systems theory, which proposes that each system affects and is affected by the other systems....

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  • The article focuses on the regional economic growth as a result of the direct foreign investment in the region and its spill-over effects on neighboring regions. The unequal distribution of foreign direct investment should in principle tends to enlarge the regional economic differences. The article, however, shows that this is not the result of the investment.

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  • Modeling Hydrologic Change: Statistical Methods is about modeling systems where change has affected data that will be used to calibrate and test models of the systems and where models will be used to forecast system responses after change occurs. The focus is not on the hydrology. Instead, hydrology serves as the discipline from which the applications are drawn to illustrate the principles of modeling and the detection of change. All four elements of the modeling process are discussed: conceptualization, formulation, calibration, and verification.

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  • Mathematical modelling is the process of formulating an abstract model in terms of mathematical language to describe the complex behaviour of a real system. Mathematical models are quantitative models and often expressed in terms of ordinary differential equations and partial differential equations. Mathematical models can also be statistical models, fuzzy logic models and empirical relationships. In fact, any model description using mathematical language can be called a mathematical model.

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  • This paper discusses the task of formulating a model of linguistic performance and proposes an approach toward this goal that is oriented toward an embodiment of the model as a digital-computer program. The methodology of current linguistic theory is criticized for several of its features that render it inapplicable to a realistic model of performance, and remedies for these deficiencies are proposed.

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  • We predict entity type distributions in Web search queries via probabilistic inference in graphical models that capture how entitybearing queries are generated. We jointly model the interplay between latent user intents that govern queries and unobserved entity types, leveraging observed signals from query formulations and document clicks. We apply the models to resolve entity types in new queries and to assign prior type distributions over an existing knowledge base.

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  • We present an unsupervised model for joint phrase alignment and extraction using nonparametric Bayesian methods and inversion transduction grammars (ITGs). The key contribution is that phrases of many granularities are included directly in the model through the use of a novel formulation that memorizes phrases generated not only by terminal, but also non-terminal symbols. This allows for a completely probabilistic model that is able to create a phrase table that achieves competitive accuracy on phrase-based machine translation tasks directly from unaligned sentence pairs. ...

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  • Scoring sentences in documents given abstract summaries created by humans is important in extractive multi-document summarization. In this paper, we formulate extractive summarization as a two step learning problem building a generative model for pattern discovery and a regression model for inference. We calculate scores for sentences in document clusters based on their latent characteristics using a hierarchical topic model.

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  • We propose a new hierarchical Bayesian n-gram model of natural languages. Our model makes use of a generalization of the commonly used Dirichlet distributions called Pitman-Yor processes which produce power-law distributions more closely resembling those in natural languages. We show that an approximation to the hierarchical Pitman-Yor language model recovers the exact formulation of interpolated Kneser-Ney, one of the best smoothing methods for n-gram language models.

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  • Most probabilistic classifiers used for word-sense disambiguation have either been based on only one contextual feature or have used a model that is simply assumed to characterize the interdependencies among multiple contextual features. In this paper, a different approach to formulating a probabilistic model is presented along with a case study of the performance of models produced in this manner for the disambiguation of the noun interest.

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  • This note presents the neoclassical growth model in discrete time. The model is based on microfoundations, which means that the objectives of the economic agents are formulated explicitly, and that their behavior is derived by assuming that they always try to achieve their objectives as well as they can: employment and investment decisions by the firms are derived by assuming that firms maximize profits; consumption and saving decisions by the households are derived by assuming that households maximize their utility....

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  • In this paper, authors use a fi nite element model based on higher-order displacement plate theory for analysis of stiffened laminated composite plates. Transverse shear deformation is included in the formulation making the model applicable for both moderately t hick and t hin composite plates.

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  • In the paper some formulations of the model has been used to get the best agreement with the measured wave field in the storm MUIFA 11/2004. The wind and wave data at the oil platform MSPl and wave height field over the sea were used to compare the model results. The obtained results afford the promising of using the SWAN model in research and weather forecast .

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  • It is giVen in this study governing equation system formulation for acid water movement in canals, especially, in the Plain of Reeds .of Vietnam where the jurbanite equilibrium is found dominant. It is assumed in the model a chemical equilibrium, however a kinetic treatment is also used to deal with redissolution of precipitates and sedimentation.

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  • The model has been formulated as a fuzzy stochastic programming problem and reduced to corresponding equivalent fuzzy linear programming problem. The model has been solved by using fuzzy linear programming technique and illustrated numerically.

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  • Solving PDEs generally means you must take the time to set up the underlying equations, material properties, and boundary conditions for a given problem. COMSOL Multiphysics, however, relieves you of much of this work. The package provides a number of application modes that consist of predefined templates and user interfaces already set up with equations and variables for specific areas of physics. Special properties allow the selection of, for instance, analysis type and model formulations.

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  • Other reasons that have been given for the lack of general adoption for AP models include: 1. The AP modeling approach is viewed as a top-down process, whereas many organizations operate AP as a bottom-up process. 2. The assumption used in many of the models, such as linear cost structures, the aggregation of all production into a common measure, or that all workers are equal, are too simplistic or unrealistic. 3. Data requirements are too extensive or costly to obtain and maintain. 4.

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  • The design of modern control systems relies on the formulation and analysis of mathematical models of dynamic physical systems. This is simply because a model is more accessible to study than the physical system the model represents.

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  • Many experts from the field of IT Service Management have assisted in putting together this first edition of The Guide to IT Service Management Volume I. Without these authors, who have done a lot of work to formulate their knowledge and insights and put them down on paper, a book like this would not be possible. I owe these authors my gratitude. The names of the authors are mentioned in their respective contributions, but you can be assured that many more were involved in the writing and evaluating of the final texts....

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  • To provide appropriate health care to this group GPs and health professionals must be aware of the pre-migratory and ‘flight’ experiences. An understanding of the patients’ history is essential if an appropriate response is to be formulated. For example in the case of victims of torture, medical professionals need to develop the ability to recognise physical signs which would indicate that torture has occurred.

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