4 resultados para Regional Medical Programs
em Universidad Politécnica de Madrid
Resumo:
Los programas de desarrollo regional promovidos por los gobiernos nacionales y las agencias multilaterales, como el Banco Mundial y el Banco Interamericano de Desarrollo (BID), se orientan a las políticas públicas de suministro de bienes públicos, ya sean servicios públicos o infraestructuras, a las regiones subdesarrolladas. Las evidencias apuntan que el éxito de estos programas depende en parte de externalidades, las cuales se relacionan con los cambios del tejido asociativo y los valores de los participantes de la comunidad. Estas externalidades se definen como el capital social. Cómo las externalidades no son directamente evaluadas en el impacto económico y social de los proyectos, pero su existencia es aceptada por los planificadores que reconocen la importancia de desarrollar el tejido de relaciones en la comunidad. Sin embargo este capital social no es medido. El objeto de esta tesis es investigar y proponer procesos de medida y evaluación del capital social de un proyecto, y relacionarlos con las actividades del mismo en un territorio y proyecto dado como casos de estudio. El Programa de Desarrollo de la Zona de Mata (PROMATA) en el Estado de Pernambuco, Brasil, financiado por el Estado de Pernambuco en Brasil y el BID, finalizado en 2010, ha sido elegido como caso de estudio. Para la evaluación y medida del capital social se han estudiado dos periodos. Uno considerando solo los planes del proyecto, sin considerar su implantación, que se ha denominado evaluación A Priori, basada en un panel de expertos con visión de las externalidades generadas. Y otra con la participación de las partes de la comunidad después de su finalización, denomina evaluación A Posteriori, para lo cual se han entrevistado un número significativo de partes interesadas utilizando un cuestionario especialmente diseñado. Los resultados han sido procesados mediante análisis estadísticos avanzados. El proyecto PROMATA es considerado un caso de éxito en Brasil, en parte por su aproximación al desarrollo asociativo. Sin embargo las valoraciones del capital social muestran que algunas relaciones Estado-sociedad y sociedad-personas no han cambiado todo lo esperado, en oposición a las evaluaciones de satisfacción de los indicadores del proyecto. Es el efecto externo del capital social. ABSTRACT The regional development programs promoted by the national governments and international multilateral agencies, like the World Bank and the Interamerican Development Bank (BID), are oriented to public policies under which public goods, like public services and infrastructures, are supplied to underdeveloped regions. More and more evidences are pointing to the fact that success of these programs depends in a good part of externalities, which are related to the changes in the networking and values among the stakeholders in the territory. These externalities are defined as the Social Capital. As externalities, they are not directly evaluated in the projects economic and social impact, but accepted to exist and the planners of the projects do acknowledge the important of social networking. However never assessed. The objective of this thesis is to investigate and propose a way to measure and assess the social capital of a given project, and relate that with the activities of the project, with a given project and territory as base case. The Development Program in Zona da Mata (PROMATA) in the State of Pernambuco, Brazil, funded by the Brazil State and the BID, ended in 2010, was chosen as the base case. For the assessment of the social capital two periods in time where studied. One considering only the project program named a priori evaluation and based in a panel of experts, which are aware of the possible externalities of the project. Other, considering the stakeholders view after the project ended, named posterior evaluation, which required interviewing a number of stakeholders using a specially designed questionnaire. The results were processed using advanced statistical techniques. PROMATA is considered a success case story in Brazil, in part for its social networking approach. However when the social capital is assessed there are areas of state-society and society-community relations not that well transformed, as the satisfaction research of the project indicators. This unforeseen externality is the social capital effect.
Resumo:
Accreditation models in the international context mainly consider the evaluation of learning outcomes and the ability of programs (or higher education institutions) to achieve the educational objectives stated in their mission. However, it is not clear if these objectives and therefore their outcomes satisfy real national and regional needs, a critical point in engineering master's programs, especially in developing countries. The aim of this paper is to study the importance of the local relevancy evaluation of these programs and to analyze the main models of quality assurance and accreditation bodies of USA, Europe and Latin America, in order to ascertain whether the relevancy is evaluated or not. After a literature review, we found that in a free-market economic context and international education, the accreditation of master’s programs follows an international accreditation model, and doesn´t take in account in most cases criteria and indicators for local relevancy. It concludes that it is necessary both, international accreditation to ensure the effectiveness of the program (achievement of learning outcomes) and the national accreditation through which it could ensure local relevancy of programs, for which we are giving some indicators.
Resumo:
Background Gray scale images make the bulk of data in bio-medical image analysis, and hence, the main focus of many image processing tasks lies in the processing of these monochrome images. With ever improving acquisition devices, spatial and temporal image resolution increases, and data sets become very large. Various image processing frameworks exists that make the development of new algorithms easy by using high level programming languages or visual programming. These frameworks are also accessable to researchers that have no background or little in software development because they take care of otherwise complex tasks. Specifically, the management of working memory is taken care of automatically, usually at the price of requiring more it. As a result, processing large data sets with these tools becomes increasingly difficult on work station class computers. One alternative to using these high level processing tools is the development of new algorithms in a languages like C++, that gives the developer full control over how memory is handled, but the resulting workflow for the prototyping of new algorithms is rather time intensive, and also not appropriate for a researcher with little or no knowledge in software development. Another alternative is in using command line tools that run image processing tasks, use the hard disk to store intermediate results, and provide automation by using shell scripts. Although not as convenient as, e.g. visual programming, this approach is still accessable to researchers without a background in computer science. However, only few tools exist that provide this kind of processing interface, they are usually quite task specific, and don’t provide an clear approach when one wants to shape a new command line tool from a prototype shell script. Results The proposed framework, MIA, provides a combination of command line tools, plug-ins, and libraries that make it possible to run image processing tasks interactively in a command shell and to prototype by using the according shell scripting language. Since the hard disk becomes the temporal storage memory management is usually a non-issue in the prototyping phase. By using string-based descriptions for filters, optimizers, and the likes, the transition from shell scripts to full fledged programs implemented in C++ is also made easy. In addition, its design based on atomic plug-ins and single tasks command line tools makes it easy to extend MIA, usually without the requirement to touch or recompile existing code. Conclusion In this article, we describe the general design of MIA, a general purpouse framework for gray scale image processing. We demonstrated the applicability of the software with example applications from three different research scenarios, namely motion compensation in myocardial perfusion imaging, the processing of high resolution image data that arises in virtual anthropology, and retrospective analysis of treatment outcome in orthognathic surgery. With MIA prototyping algorithms by using shell scripts that combine small, single-task command line tools is a viable alternative to the use of high level languages, an approach that is especially useful when large data sets need to be processed.
Resumo:
Accreditation models in the international context mainly consider the evaluation of learning outcomes and the ability of programs (or higher education institutions) to achieve the educational objectives stated in their mission. However, it is not clear if these objectives and therefore their outcomes satisfy real national and regional needs, a critical point in engineering master's programs, especially in developing countries. The aim of this paper is to study the importance of the local relevancy evaluation of these programs and to analyze the main models of quality assurance and accreditation bodies of USA, Europe and Latin America, in order to ascertain whether the relevancy is evaluated or not. After a literature review, we found that in a free-market economic context and international education, the accreditation of master's programs follows an international accreditation model, and doesńt take in account in most cases criteria and indicators for local relevancy. It concludes that it is necessary both, international accreditation to ensure the effectiveness of the program (achievement of learning outcomes) and the national accreditation through which it could ensure local relevancy of programs, for which we are giving some indicators.