5 resultados para Gaussian Plume model for multiple sources foe Cochin

em Universidad del Rosario, Colombia


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Objective: To establish a prediction model of the degree of disability in adults with Spinal CordInjury (SCI ) based on the use of the WHO-DAS II . Methods: The disability degree was correlatedwith three variable groups: clinical, sociodemographic and those related with rehabilitation services.A model of multiple linear regression was built to predict disability. 45 people with sci exhibitingdiverse etiology, neurological level and completeness participated. Patients were older than 18 andthey had more than a six-month post-injury. The WHO-DAS II and the ASIA impairment scale(AIS ) were used. Results: Variables that evidenced a significant relationship with disability were thefollowing: occupational situation, type of affiliation to the public health care system, injury evolutiontime, neurological level, partial preservation zone, ais motor and sensory scores and number ofclinical complications during the last year. Complications significantly associated to disability werejoint pain, urinary infections, intestinal problems and autonomic disreflexia. None of the variablesrelated to rehabilitation services showed significant association with disability. The disability degreeexhibited significant differences in favor of the groups that received the following services: assistivedevices supply and vocational, job or educational counseling. Conclusions: The best predictiondisability model in adults with sci with more than six months post-injury was built with variablesof injury evolution time, AIS sensory score and injury-related unemployment.

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The measure of customer satisfaction level is one of the most important topics at present time in marketing science. In addition, its measure in the bank field takes force in view of the high level of competition inside it, even more so if the study counts “immigrants” as a variable in analysis, a much important variable in the demographic situation of Canada. Oliver (1980) proposes the model of “disconfirmation” to measure customer satisfaction level; this model confirms that the difference between customer perceived performance and customer expectations gives as result his satisfaction level (additional model). Presently multiple scales exist to evaluate and to quantify this satisfaction level, Parasuraman (1987) is the creator of the servqual scale, while Avkiran (1999) developed the bankserv scale in order to evaluate customer expectations and customer satisfaction level specifically inside the bank field; this scale was divided in four factors via factorial analysis. Literature suggests the presence of a relation between individual expectations and/or satisfaction level, and the individual tolerance level towards non-constructed situations (Newman, 2001). Hofstede (1980) developed five cultural dimensions worldwide; among these is the Uncertainty Avoidance Index (uai) that fits to the dimension directly related to customer expectations and customer satisfaction levels, since it measures the tolerance levels towards non-structured ituations. For this research I focused on the satisfaction model analysis proposed by Oliver (1980) based on Avkiran´s scale (1999), having the Latin American or Canadian origin as variables. The concept of Hofstede’s cultural differences leads me to propose two samples: 50 Canadian French speakers and 50 Latin American individuals (Canadian residents). Results demonstrate that in the Latin American group the expectations are in average higher that in the Canadian group, considering all four factors (Avkiran). Perceived performance and satisfaction level are higher in the Latin American group that in the Canadian group for “personal branch conduct” and “access to personalized services” factors, nevertheless, no statistically significant difference has been proved for “credibility” and “communication” factors. The expectations variable presents a mediating effect over the relation between variables uai (Latin American or Canadian origin) and satisfaction level. This effect is partial for “personal branch conduct” and perfect for “access to personalized services”.

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Este estudio analiza la existencia de conceptos y estrategias comunitarias en relación de cómo una empresa en el sector de servicios sociales y salud entienden las estrategias de mercadeo y la influencia en el desempeño que pueden tener en su relación con el entorno. Para esto, se utilizo un enfoque de estudio de caso seleccionando un caso representativo con una empresa dentro del sector. Se definieron proposiciones y protocolos. Varias fuentes de evidencia fueron utilizadas como documentos, reportes de desempeño financiero y otra información de diferentes sectores relacionados; los mismos fueron analizados en el marco de la evidencia lógica. Se concluye que la empresa en el sector de servicios sociales y salud no utilizan conceptos ni estrategias comunitarias y que se podrían beneficiar del uso apropiado de estrategias comunitarias en su relación con la comunidad.

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La literatura sobre determinantes de los ingresos laborales ha evolucionado en sus fundamentos teóricos, metodológicos y estimaciones empíricas. Colombia no ha sido ajena a este proceso, pero su evolución, notoria en fertilidad, ha venido relajándose en rigor conceptual: se tiende a considerar a los cuenta propia y asalariados como categorías relativamente semejantes. Para mostrar el efecto de dicha relajación realizamos estimaciones conjuntas de determinantes del ingreso laboral para ocupados asalariados y cuenta propia, y luego las contrastamos con estimaciones más detalladas y desagregadas ilustrando los sesgos efectivos que se generan si no se tienen en cuenta las características laborales de los ocupados cuenta propia y asalariado.

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We design a financial network model that explicitly incorporates linkages across institutions through a direct contagion channel, as well as an indirect common exposure channel. In particular, common exposure is setup so as to link the financial to the real sector. The model is calibrated to balance sheet data on the colombian financial sector. Results indicate that commercial banks are the most systemically important financial institutions in the system. Whereas government owned institutions are the most vulnerable institutions in the system.