926 resultados para Multidimensional scaling (MDS)


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We establish numerically the validity of Huberman-Rudnick scaling relation for Lyapunov exponents during the period doubling route to chaos in one dimensional maps. We extend our studies to the context of a combination map. where the scaling index is found to be different.

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A numerical study is presented of the third-dimensional Gaussian random-field Ising model at T=0 driven by an external field. Standard synchronous relaxation dynamics is employed to obtain the magnetization versus field hysteresis loops. The focus is on the analysis of the number and size distribution of the magnetization avalanches. They are classified as being nonspanning, one-dimensional-spanning, two-dimensional-spanning, or three-dimensional-spanning depending on whether or not they span the whole lattice in different space directions. Moreover, finite-size scaling analysis enables identification of two different types of nonspanning avalanches (critical and noncritical) and two different types of three-dimensional-spanning avalanches (critical and subcritical), whose numbers increase with L as a power law with different exponents. We conclude by giving a scenario for avalanche behavior in the thermodynamic limit.

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To study the behaviour of beam-to-column composite connection more sophisticated finite element models is required, since component model has some severe limitations. In this research a generic finite element model for composite beam-to-column joint with welded connections is developed using current state of the art local modelling. Applying mechanically consistent scaling method, it can provide the constitutive relationship for a plane rectangular macro element with beam-type boundaries. Then, this defined macro element, which preserves local behaviour and allows for the transfer of five independent states between local and global models, can be implemented in high-accuracy frame analysis with the possibility of limit state checks. In order that macro element for scaling method can be used in practical manner, a generic geometry program as a new idea proposed in this study is also developed for this finite element model. With generic programming a set of global geometric variables can be input to generate a specific instance of the connection without much effort. The proposed finite element model generated by this generic programming is validated against testing results from University of Kaiserslautern. Finally, two illustrative examples for applying this macro element approach are presented. In the first example how to obtain the constitutive relationships of macro element is demonstrated. With certain assumptions for typical composite frame the constitutive relationships can be represented by bilinear laws for the macro bending and shear states that are then coupled by a two-dimensional surface law with yield and failure surfaces. In second example a scaling concept that combines sophisticated local models with a frame analysis using a macro element approach is presented as a practical application of this numerical model.

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Bibliography: p. 22-24.

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In most psychological tests and questionnaires, a test score is obtained by taking the sum of the item scores. In virtually all cases where the test or questionnaire contains multidimensional forced-choice items, this traditional scoring method is also applied. We argue that the summation of scores obtained with multidimensional forced-choice items produces uninterpretable test scores. Therefore, we propose three alternative scoring methods: a weak and a strict rank preserving scoring method, which both allow an ordinal interpretation of test scores; and a ratio preserving scoring method, which allows a proportional interpretation of test scores. Each proposed scoring method yields an index for each respondent indicating the degree to which the response pattern is inconsistent. Analysis of real data showed that with respect to rank preservation, the weak and strict rank preserving method resulted in lower inconsistency indices than the traditional scoring method; with respect to ratio preservation, the ratio preserving scoring method resulted in lower inconsistency indices than the traditional scoring method

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Resumen tomado de la publicaci??n. Resumen tambi??n en ingl??s

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Resumen tomado de la publicaci??n

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Our work is focused on alleviating the workload for designers of adaptive courses on the complexity task of authoring adaptive learning designs adjusted to specific user characteristics and the user context. We propose an adaptation platform that consists in a set of intelligent agents where each agent carries out an independent adaptation task. The agents apply machine learning techniques to support the user modelling for the adaptation process

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Resumen tomado de la publicaci??n

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La enfermedad de Parkinson es el segundo trastorno neurodegenerativo más frecuente, afectando del 1 al 2% de las personas mayores de 60 años a nivel mundial.(1) No hay un test diagnóstico ni un marcador clínico confiable y fácilmente aplicable para el diagnóstico de ésta enfermedad así como tampoco para la progresión y respuesta a los tratamientos. Por esta razón, se desarrolló en 1987 la escala unificada de evaluación de la Enfermedad de Parkinson (UPDRS, por sus siglas en inglés Unified Parkinson’s Disease Rating Scale), instrumento disponible en su idioma original, no validado al español para su utilización en Colombia.OBJETIVO. Realizar la validación lingüística de la escala unificada para la evaluación de la enfermedad de Parkinson (UPDRS-MDS) de su versión original en inglés en su versión en español para Colombia. DISEÑO METODOLÓGICO. Estudio de validación de escala. POBLACIÓN. Pacientes mayores de 18 años de edad que cumplan con criterios para el diagnóstico de enfermedad de Parkinson según Los criterios diagnósticos “Disease Society Brain Bank de Londres de 1992, avalado por especialista en trastorno del movimiento. TAMAÑO MUESTRAL. 15 pacientes con enfermedad de Parkinson para la prueba piloto de la escala UPDRS traducida del Inglés al Español. ANALISIS ESTADÍSTICO. Medidas de tendencia central y de dispersión en variables cuantitativas y proporciones para variables cualitativas.