911 resultados para Team Evaluation Models


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Exercise physiology has attempted to reproduce the experimental exercise in the laboratory using mainly rats. The swimming exercise has emerged as one of the leading research in these type ergometers. Thus, this research consisted of a literature review addressing the key issues which involve the exercise of swimming in the model rats. Training of aerobic and anaerobic swimming, evaluation models and models of periodization were the topics suggested in this research. In several studies, models of aerobic and anaerobic training have been proposed with the aim of studying their effect on normal and abnormal physiological parameters. However, earlier studies lacked methods of analysis aiming to determine the exercise intensity in the animal model. For this reason, in the last decade, assessment models have been adapted for humans to animals, especially rats. The maximal lactate steady state (MLSS) and lactate minimum (LM) are among the various techniques used to measure the amount of effort produced by swimming exercise in rats. Thereafter, based on biochemical parameters such as lactate, swimming exercise in rats has become the highest-rated, ie, using as reference the anaerobic threshold (AT). In another aspect, an entirely new line of research has tried to understand and promising swimming training in a periodized and its effects on some biochemical parameters. But this is an area little researched so far. Thus, the experimental model of swimming has proved an important resource of exercise physiology. From this model, it becomes possible to study the exercise, especially swimming, in more accurate, based on invasive and incisive analysis of the rat

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Background. A sizable group of patients with symptomatic aortic stenosis (AS) can undergo neither surgical aortic valve replacement (AVR) nor transcatheter aortic valve implantation (TAVI) because of clinical contraindications. The aim of this study was to assess the potential role of balloon aortic valvuloplasty (BAV) as a “bridge-to-decision” in selected patients with severe AS and potentially reversible contraindications to definitive treatment. Methods. We retrospectively enrolled 645 patients who underwent first BAV at our Institution between July 2007 and December 2012. Of these, the 202 patients (31.2%) who underwent BAV as bridge-to-decision (BTD) requiring clinical re-evaluation represented our study population. BTD patients were further subdivided in 5 groups: low left ventricular ejection fraction; mitral regurgitation grade ≥3; frailty; hemodynamic instability; comorbidity. The main objective of the study was to evaluate how BAV influenced the final treatment strategy in the whole BTD group and in its single specific subgroups. Results. Mean logistic EuroSCORE was 23.5±15.3%, mean age was 81±7 years. Mean transaortic gradient decreased from 47±17 mmHg to 33±14 mmHg. Of the 193 patients with BTD-BAV who received a second heart team evaluation, 72.5% were finally deemed eligible for definitive treatment (25.4%for AVR; 47.2% for TAVI): respectively, 96.7% of patients with left ventricular ejection fraction recovery; 70.5% of patients with mitral regurgitation reduction; 75.7% of patients who underwent BAV in clinical hemodynamic instability; 69.2% of frail patients and 68% of patients who presented relevant comorbidities. 27.5% of the study population was deemed ineligible for definitive treatment and treated with standard therapy/repeated BAV. In-hospital mortality was 4.5%, cerebrovascular accident occurred in 1% and overall vascular complications were 4% (0.5% major; 3.5% minor). Conclusions. Balloon aortic valvuloplasty should be considered as bridge-to-decision in high-risk patients with severe aortic stenosis who cannot be immediate candidates for definitive percutaneous or surgical treatment.

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La preocupación por la evaluación de la calidad en la educación superior surge inicialmente, en la Argentina, a comienzos de los años 90 en forma paralela a los desarrollos Iberoamericanos. Es entonces cuando, en el universo de las políticas de la calidad, se introduce la selección y denominación de componentes dentro de los lineamientos, guías o modelos de evaluación. Es así como aparecen los conceptos de evaluación, acreditación, certificación, etc. vinculados también con los principales modelos de gestión de la calidad. El presente trabajo tiene dos objetivos, el primero es exponer una de las conclusiones de la investigación realizada sobre la evaluación del componente biblioteca en el contexto de la evaluación externa de las universidades argentinas llevada a cabo por la Comisión Nacional de Evaluación y Acreditación Universitaria (CONEAU) en cumplimiento de la política de calidad determinada por la Ley de Educación Superior (LES). Esta conclusión está relacionada con la importancia de la consistencia y uniformidad en la denominación de componentes en los modelos de evaluación. Con el segundo, se trata de clarificar la terminología vinculada con los procesos de evaluación y gestión de la calidad. La metodología utilizada para el cumplimiento del primer objetivo se basó en el análisis de los 42 informes que la CONEAU publicó entre 1998-2006. Respecto del segundo la recolección de datos se apoyó en el análisis de diferentes fuentes documentales, lo cual facilitó la estructuración del contenido del trabajo. Se concluye que es esencial mantener la claridad en las definiciones, la consistencia terminológica y evitar la alternancia de términos.

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La preocupación por la evaluación de la calidad en la educación superior surge inicialmente, en la Argentina, a comienzos de los años 90 en forma paralela a los desarrollos Iberoamericanos. Es entonces cuando, en el universo de las políticas de la calidad, se introduce la selección y denominación de componentes dentro de los lineamientos, guías o modelos de evaluación. Es así como aparecen los conceptos de evaluación, acreditación, certificación, etc. vinculados también con los principales modelos de gestión de la calidad. El presente trabajo tiene dos objetivos, el primero es exponer una de las conclusiones de la investigación realizada sobre la evaluación del componente biblioteca en el contexto de la evaluación externa de las universidades argentinas llevada a cabo por la Comisión Nacional de Evaluación y Acreditación Universitaria (CONEAU) en cumplimiento de la política de calidad determinada por la Ley de Educación Superior (LES). Esta conclusión está relacionada con la importancia de la consistencia y uniformidad en la denominación de componentes en los modelos de evaluación. Con el segundo, se trata de clarificar la terminología vinculada con los procesos de evaluación y gestión de la calidad. La metodología utilizada para el cumplimiento del primer objetivo se basó en el análisis de los 42 informes que la CONEAU publicó entre 1998-2006. Respecto del segundo la recolección de datos se apoyó en el análisis de diferentes fuentes documentales, lo cual facilitó la estructuración del contenido del trabajo. Se concluye que es esencial mantener la claridad en las definiciones, la consistencia terminológica y evitar la alternancia de términos.

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La preocupación por la evaluación de la calidad en la educación superior surge inicialmente, en la Argentina, a comienzos de los años 90 en forma paralela a los desarrollos Iberoamericanos. Es entonces cuando, en el universo de las políticas de la calidad, se introduce la selección y denominación de componentes dentro de los lineamientos, guías o modelos de evaluación. Es así como aparecen los conceptos de evaluación, acreditación, certificación, etc. vinculados también con los principales modelos de gestión de la calidad. El presente trabajo tiene dos objetivos, el primero es exponer una de las conclusiones de la investigación realizada sobre la evaluación del componente biblioteca en el contexto de la evaluación externa de las universidades argentinas llevada a cabo por la Comisión Nacional de Evaluación y Acreditación Universitaria (CONEAU) en cumplimiento de la política de calidad determinada por la Ley de Educación Superior (LES). Esta conclusión está relacionada con la importancia de la consistencia y uniformidad en la denominación de componentes en los modelos de evaluación. Con el segundo, se trata de clarificar la terminología vinculada con los procesos de evaluación y gestión de la calidad. La metodología utilizada para el cumplimiento del primer objetivo se basó en el análisis de los 42 informes que la CONEAU publicó entre 1998-2006. Respecto del segundo la recolección de datos se apoyó en el análisis de diferentes fuentes documentales, lo cual facilitó la estructuración del contenido del trabajo. Se concluye que es esencial mantener la claridad en las definiciones, la consistencia terminológica y evitar la alternancia de términos.

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There are still some set squares to be found in my studio. These are used not so much for drawing, which is done in Autocad, but for the many scale models that we do ourselves. When I was a child my mother used to bake the most magnificent home-made tarts. And so it is in my studio today, that I make the tarts, the scale-models, and - better still - so does my team. Our models are always home-made.

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Existing evaluation models for higher education have, mainly, accreditation purposes, and evaluate the efficiency of training programs, that is to say, the degree of suitability between the educational results and the objectives of the program. However, it is not guaranteed that those objectives adequate to the needs and real interests of students and stakeholders, that is to say, they do not assess the relevance of the programs, a very important aspect in developing countries. From the review of experiences, this paper proposes a model for evaluating the relevance of engineering masters program, and applies it to the case of a master?s degree at the University of Piura, Peru. We conclude that the proposed model is applicable to other masters program, offers an objective way for determining is a training program keep being relevant, and identifies improvement opportunities

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La formación de postgrado en ingeniería es muy importante para mejorar la competitividad y lograr el desarrollo en los países. Para ello es necesaria una fuerte vinculación de la universidad con su entorno socio económico de modo que los objetivos que se plantea en sus programas formativos sean coherentes con las necesidades reales de los beneficiarios: los estudiantes, la universidad y la comunidad. Es decir, los programas deben ser pertinentes. Y en los países en vías de desarrollo este tema es aún más importante. Se necesita modelos de evaluación que midan este grado de adecuación entre los objetivos de los programas con las necesidades de los estudiantes y las partes interesadas. Sin embargo, los modelos de evaluación existentes tienen principalmente fines de acreditación y están diseñados para evaluar la eficacia, es decir si los resultados obtenidos están de acuerdo con la misión y los objetivos planteados. Su objetivo no es medir la pertinencia. Esta investigación tiene como objetivo diseñar un modelo de evaluación de la pertinencia de maestrías en ingeniería y aplicarlo a un caso concreto. Se trata de maestrías que ya están en funcionamiento y son dictadas en una universidad en un país en desarrollo. Para diseñar el modelo se define primero el concepto de pertinencia de una maestría en ingeniería haciendo una revisión bibliográfica y consultando a expertos en los temas de pertinencia de la educación superior y formación en postgrado en ingeniería. Se utiliza una definición operativa que facilita luego la identificación de factores e indicadores de evaluación. Se identifica dos tipos de pertinencia: local y global. La pertinencia global está relacionada con la inserción de la maestría en el sistema global de producción de conocimiento. La pertinencia local tiene tres dimensiones: la personal, relacionada con la satisfacción de necesidades de los estudiantes, la institucional, relacionada con las necesidades e intereses de la universidad que acoge a la maestría y la pertinencia social, ligada a la satisfacción de necesidades y demandas de la comunidad local y nacional. El modelo diseñado es aplicado en la maestría en Ingeniería Civil con mención en Ingeniería Vial de la Universidad de Piura, Perú lo que permite obtener conclusiones para su aplicación en otras maestrías. ABSTRACT Graduate engineering education is very important to improve competitiveness and achieve development in countries. It is necessary a strong linkage between university and its socio economic environment, so that programs objectives are consistent with the real needs of the students, university and community. That is to say programs must be relevant. And in developing countries this issue is very important. Evaluation models to measure the degree of adequacy between the programs objectives with the needs of students and stakeholders is needed. However, existing evaluation models have mainly the purpose of accreditation and are designed to evaluate the efficacy. They evaluate if the results are consistent with the mission and objectives. Their goal is not to measure the relevance. This work aimed to design a model for evaluating the relevance of master's degrees in engineering and applied to a specific case. They must be masters already in operation and are taught at a university in a developing country. In order to build the model, first concept of relevance of a master's degree in engineering was defined. Literature was reviewed and we consulted experts on issues of relevance of higher education and graduate engineering education. An operational definition is used to facilitate the identification of factors and evaluation indicators. Local and global: two types of relevance were identified. The global relevance is related to the inclusion of Master in the global system of knowledge production. The local relevance has three dimensions: personal, related to meeting students' needs, institutional, related to the needs and interests of university that houses the Master and social relevance, linked to the satisfaction of needs and demands of local and national community. The designed model is applied to the Master degree in Civil Engineering with a major in Traffic Engineering of Universidad de Piura, Peru which allowed to obtain conclusions for application in other masters.

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Este trabalho teve por objetivo o desenvolvimento de uma proposta de um modelo de sistema de apoio à decisão em vendas e sua aplicação. O levantamento sobre o perfil das vendas no mercado corporativo - de empresas-para-empresas, as técnicas de vendas, informações necessárias para a realização de uma venda eficiente, tal qual o controle das ações e resultados dos vendedores com a ajuda de relatórios, tudo isso aliado às tecnologias de data warehouse, data mart, OLAP foram essenciais na elaboração de uma proposta de modelo genérico e sua implantação. Esse modelo genérico foi aplicado levando-se em conta uma editora de listas e guias telefônicos hipotética, e foi construído buscando-se suprir os profissionais de vendas com informações que poderão melhorar a efetividade de suas vendas e dar-lhes maior conhecimento sobre seus produtos, clientes, usuários de listas e o mercado como um todo, além de suprir os gerentes de uma ferramenta rápida e confiável de auxílio à análise e coordenação dos esforços de vendas. A possibilidade de visualização rápida, confiável e personalizada das diversas informações permitidas por esse sistema, tal qual o êxito em responder às perguntas de pesquisas apresentadas no trabalho, comprova que essa aplicação poderá ser útil à empresa e em específico aos profissionais de vendas e gerentes tomadores de decisão.

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Atualmente, os valores intangíveis são cada vez mais importantes no processo gerencial de empresas e governos, implicando a necessidade de informações mais precisas. Dentre os ativos intangíveis mais importantes encontram-se as marcas. É por meio das marcas que os consumidores escolhem e memorizam suas compras, e assim destinam seu dinheiro para algo que possa solucionar problemas em suas vidas. Marcas são formas de empresas e países conseguirem se diferenciar no mercado competitivo globalizado, e estas últimas são denominadas marca-país. A marca-país é fonte de conhecimento e associações no mercado, e torna o país mais ou menos atraente para os estrangeiros. Para se medir o valor de uma marca-país (country brand equity) utilizamse métodos específicos. Essa métrica perceptual é uma construção de valores baseados na marca-país, como conhecimento, associações, imagem, qualidade percebida e lealdade. Este trabalho visa compor um modelo de mensuração de country brand equity aplicável à realidade brasileira. Para tanto foram apresentados diversos modelos de avaliação de marcas e marca-país, por serem complementares, e testados empiricamente. Os dois principais modelos utilizados neste trabalho foram o modelo de valor de marca de Yoo, Donthu e Lee (2000), e o modelo de valor de marca-país de Pappu e Quester (2010). Como o construto de valor de marca-país é derivado de dimensões formativas que o compõem, foram somadas nessa equação as dimensões de imagem baseada na personalidade (AAKER, 1997) e percepção de cultura (NEWMAN; NOLLEN, 1996; HOFSTEDE; BOND, 1984). Todas as variáveis e composições de dimensões foram avaliadas quanto à sua confiabilidade, linearidade, normalidade, heterocedasticidade, multicolinearidade, correlações, formação de fatores e, por fim, avaliadas em regressões e modelos de equações estruturais. Foram criados dezesseis (16) modelos iniciais, nos quais se avaliou o poder de explicação dos construtos com a variável dependente proposta por Zeugner-Roth, Diamantopoulos e Montesinos (2008). Verificou-se pouca variabilidade entre os modelos. Em seguida, foram elaborados mais oito (8) modelos com a proxy de valor de marca-país pela reputação de marca-país, proposta por Kang e Yang (2010), na qual se pôde observar que os modelos com maior número de dimensões se mostraram melhores para explicar a variável dependente. Além disso, verificou-se a importância das dimensões de imagem e percepção de cultura nesses construtos. Por fim, esta tese apresenta modelos mais consistentes de avaliação de marca-país.

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Fuzzy data envelopment analysis (DEA) models emerge as another class of DEA models to account for imprecise inputs and outputs for decision making units (DMUs). Although several approaches for solving fuzzy DEA models have been developed, there are some drawbacks, ranging from the inability to provide satisfactory discrimination power to simplistic numerical examples that handles only triangular fuzzy numbers or symmetrical fuzzy numbers. To address these drawbacks, this paper proposes using the concept of expected value in generalized DEA (GDEA) model. This allows the unification of three models - fuzzy expected CCR, fuzzy expected BCC, and fuzzy expected FDH models - and the ability of these models to handle both symmetrical and asymmetrical fuzzy numbers. We also explored the role of fuzzy GDEA model as a ranking method and compared it to existing super-efficiency evaluation models. Our proposed model is always feasible, while infeasibility problems remain in certain cases under existing super-efficiency models. In order to illustrate the performance of the proposed method, it is first tested using two established numerical examples and compared with the results obtained from alternative methods. A third example on energy dependency among 23 European Union (EU) member countries is further used to validate and describe the efficacy of our approach under asymmetric fuzzy numbers.

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Convergence among treatment, prevention, and developmental intervention approaches has led to the recognition of the need for evaluation models and research designs that employ a full range of evaluation information to provide an empirical basis for enhancing the efficiency, efficacy, and effectiveness of prevention and positive development interventions. This study reports an investigation of a positive youth development program using an Outcome Mediation Cascade (OMC) evaluation model, an integrated model for evaluating the empirical intersection between intervention and developmental processes. The Changing Lives Program (CLP) is a community supported positive youth development intervention implemented in a practice setting as a selective/indicated program for multi-ethnic, multi-problem at risk youth in urban alternative high schools. This study used a Relational Data Analysis integration of quantitative and qualitative data analysis strategies, including the use of both fixed and free response measures and a structural equation modeling approach, to construct and evaluate the hypothesized OMC model. Findings indicated that the hypothesized model fit the data (χ2 (7) = 6.991, p = .43; RMSEA = .00; CFI = 1.00; WRMR = .459). Findings also provided preliminary evidence consistent with the hypothesis that in addition to having effects on targeted positive outcomes, PYD interventions are likely to have progressive cascading effects on untargeted problem outcomes that operate through effects on positive outcomes. Furthermore, the general pattern of findings suggested the need to use methods capable of capturing both quantitative and qualitative change in order to increase the likelihood of identifying more complete theory informed empirically supported models of developmental intervention change processes.

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In - Appraising Work Group Performance: New Productivity Opportunities in Hospitality Management – a discussion by Mark R. Edwards, Associate Professor, College of Engineering, Arizona State University and Leslie Edwards Cummings, Assistant Professor, College of Hotel Administration University of Nevada, Las Vegas; the authors initially provide: “Employee group performance variation accounts for a significant portion of the degree of productivity in the hotel, motel, and food service sectors of the hospitality industry. The authors discuss TEAMSG, a microcomputer based approach to appraising and interpreting group performance. TEAMSG appraisal allows an organization to profile and to evaluate groups, facilitating the targeting of training and development decisions and interventions, as well as the more equitable distribution of organizational rewards.” “The caliber of employee group performance is a major determinant in an organization's productivity and success within the hotel and food service industries,” Edwards and Cummings say. “Gaining accurate information about the quality of performance of such groups as organizational divisions, individual functional departments, or work groups can be as enlightening...” the authors further reveal. This perspective is especially important not only for strategic human resources planning purposes, but also for diagnosing development needs and for differentially distributing organizational rewards.” The authors will have you know, employee requirements in an unpredictable environment, which is what the hospitality industry largely is, are difficult to quantify. In an effort to measure elements of performance Edwards and Cummings look to TEAMSG, which is an acronym for Team Evaluation and Management System for Groups. They develop the concept. In discussing background for employees, Edwards and Cummings point-out that employees - at the individual level - must often possess and exercise varied skills. In group circumstances employees often work at locations outside of, or move from corporate unit-to-unit, as in the case of a project team. Being able to transcend individual-to-group mentality is imperative. “A solution which addresses the frustration and lack of motivation on the part of the employee is to coach, develop, appraise, and reward employees on the basis of group achievement,” say the authors. “An appraisal, effectively developed and interpreted, has at least three functions,” Edwards and Cummings suggest, and go on to define them. The authors do place a great emphasis on rewards and interventions to bolster the assertion set forth in their thesis statement. Edwards and Cummings warn that individual agendas can threaten, erode, and undermine group performance; there is no - I - in TEAM.

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This paper provides the first investigation about bond mutual fund performance during recession and expansion periods separately. Based on multi-factor performance evaluation models, results show that bond funds significantly underperform the market during both phases of the business cycle. Nevertheless, unlike equity funds, bond funds exhibit considerably higher alphas during good economic states than during market downturns. These results, however, seem entirely driven by the global financial crisis subperiod. In contrast, during the recession associated to the Euro sovereign debt crisis, bond funds are able to accomplish neutral performance. This improved performance throughout the debt crisis seems to be related to more conservative investment strategies, which reflect an increase in managers’ risk aversion.