871 resultados para PM-AH e Análise de Desempenho


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O exercício físico é constantemente utilizado como coadjuvante em tratamentos de saúde, funcionais ou até mesmo estéticos. Normalmente prescrito em séries múltiplas, o treinamento de musculação, a partir da década de 90, passou a ser praticado também em séries simples, com iguais objetivos de hipertrofia e desempenho físico. Entretanto, a melhor aptidão de saúde também passou a ganhar uma forte atenção, em especial para benefícios cardiovasculares e metabólicos. O exercício físico é uma forma de estresse celular, uma vez que incrementa o metabolismo oxidativo e proporciona a geração de espécies ativas do oxigênio que podem causar lesão celular dependendo da intensidade e duração da atividade física. Proteínas de choque térmico (HSP) são proteínas expressas universalmente nas células sob condições de estresse, como choque térmico, privação de glicose e exposição a agentes indutores de estresse oxidativo, como espécies ativas do oxigênio. Estes fatos justificam a expressão de HSP, particularmente da família de 70 kDa (HSP70), no tecido muscular após o exercício físico. Já a adaptação ao exercício físico reduz a expressão de HSP70 no músculo enquanto que indivíduos treinados mostram redução na expressão de HSP70 em leucócitos circulantes. Desta forma, investigamos, neste trabalho, a expressão da HSP70 em leucócitos circulantes de indivíduos submetidos a diferentes seriações em comparação com a funcionalidade do sistema imunológico e o estresse oxidativo induzido por este treinamento. Comparamos ainda, o desempenho físico e a composição corporal nas diferentes seriações, e correlacionamos os resultados de composição corporal com o perfil lipídico dos participantes Voluntários adultos saudáveis foram treinados 3 vezes por semana a 75% da carga máxima (CM) em séries simples (SS) ou múltiplas (SM), por 12 semanas com incremento de carga a cada 4 semanas. Os indivíduos foram avaliados antes, durante e ao final do protocolo de treinamento. Foram avaliados a composição corporal, a força e a resistência muscular, o perfil lipídico, estresse oxidativo, a expressão de HSP70 e o perfil imunológico. Ao final das 12 semanas de treinamento o grupo SS melhorou a composição corporal, a resistência muscular, e o perfil lipídico. Durante o desenvolvimento do treinamento observou-se contínua melhora do estresse oxidativo e do perfil imunológico no grupo SS e melhora no perfil imunológico do grupo SM, sendo que o grupo SS obteve melhor desempenho imunológico que o SM. Quanto à indução de HSP70, observou-se que o grupo SS não induziu maior expressão, enquanto que, o grupo SM aumentou a expressão de HSP70. Desta forma, na intensidade e período utilizados para o treinamento, o grupo SS mostrou ser mais eficiente que o grupo SM para os parâmetros avaliados, incluindo melhora no perfil imunológico.

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Trata de fundos mútos de investimento no Brasil

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O mercado privado de planos de saúde tem sido marcado por aumento dos custos da assistência médica, ampliação da cobertura de procedimentos, restrições nos reajustes dos planos e aumento das garantias de solvência exigidas pela Agência Nacional de Saúde Suplementar (ANS), impactando o desempenho econômico-financeiro das operadoras de planos de saúde. A presente dissertação tem como objetivo analisar o desempenho econômico-financeiro de operadoras das modalidades autogestão, cooperativa médica, medicina de grupo e seguradora no período de 2001 a 2012. Foi utilizada uma base de dados operacionais e contábeis disponível na página eletrônica da ANS, com 5.775 observações, avaliando-se o desempenho econômico-financeiro por meio de cinco indicadores: Retorno sobre Ativos, Retorno Operacional sobre Ativos, Retorno sobre o Patrimônio Líquido, Liquidez Corrente e Sinistralidade. Dois modelos hierárquicos foram adotados para estimar os efeitos operadora, modalidade e porte no desempenho. Dentre estes, a pesquisa identificou que o efeito operadora é responsável pela maior parte da variabilidade explicada do desempenho. A investigação permitiu identificar as operadoras que apresentaram melhor desempenho no período, direcionando a realização futura de estudos qualitativos visando conhecer os principais fatores que explicam o desempenho superior.

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Este trabalho minera as informações coletadas no processo de vestibular entre 2009 e 2012 para o curso de graduação de administração de empresas da FGV-EAESP, para estimar classificadores capazes de calcular a probabilidade de um novo aluno ter bom desempenho. O processo de KDD (Knowledge Discovery in Database) desenvolvido por Fayyad et al. (1996a) é a base da metodologia adotada e os classificadores serão estimados utilizando duas ferramentas matemáticas. A primeira é a regressão logística, muito usada por instituições financeiras para avaliar se um cliente será capaz de honrar com seus pagamentos e a segunda é a rede Bayesiana, proveniente do campo de inteligência artificial. Este estudo mostre que os dois modelos possuem o mesmo poder discriminatório, gerando resultados semelhantes. Além disso, as informações que influenciam a probabilidade de o aluno ter bom desempenho são a sua idade no ano de ingresso, a quantidade de vezes que ele prestou vestibular da FGV/EAESP antes de ser aprovado, a região do Brasil de onde é proveniente e as notas das provas de matemática fase 01 e fase 02, inglês, ciências humanas e redação. Aparentemente o grau de formação dos pais e o grau de decisão do aluno em estudar na FGV/EAESP não influenciam nessa probabilidade.

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This master thesis introduces assessment procedures of daylighting performance in office rooms with shaded opening, recommendations for Natal-RN (Latitude 05,47' S, Longitude 35,11' W). The studies assume the need of window exterior shading in hot and humid climate buildings. The daylighting performance analyses are based on simulated results for three levels of illuminance (300,500 e 1000 lux) between 08h00 e 16h00, in rooms with 2,80 m height, 6 m large and 4 m, 6 m e 8 m depths, with a centered single opening, window wall ratio (20%, 40% e 60%), four orientations (North, East, South and West), and two types of sky (clear and partially cloudy). The sky characteristics were statistically determined based on hourly data from INPE-CRN solar and daylighting weather station. The lighting performance is resulted from dynamic computer simulation of 72 models using Troplux 3.12. The simulation results were assessed using a new parameter to quantify the use of interior daylighting, the useful percentage of daylight (PULN), which corresponds to the time fraction with satisfactory light, in accordance with the illuminance design. The passive zone depths are defined based on the PULN. Despite the failures of illuminance data from the weather station, the analyses ratified the high potential of daylighting for shaded rooms. The most influential variables on the lighting performance are the opening size and the illuminance of design, while the orientation is a little influential

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The use of infrared burners in industrial applications has many advantages in terms of technical-operational, for example, uniformity in the heat supply in the form of radiation and convection, with greater control of emissions due to the passage of exhaust gases through a macro-porous ceramic bed. This paper presents an infrared burner commercial, which was adapted an experimental ejector, capable of promoting a mixture of liquefied petroleum gas (LPG) and glycerin. By varying the percentage of dual-fuel, it was evaluated the performance of the infrared burner by performing an energy balance and atmospheric emissions. It was introduced a temperature controller with thermocouple modulating two-stage (low heat / high heat), using solenoid valves for each fuel. The infrared burner has been tested and tests by varying the amount of glycerin inserted by a gravity feed system. The method of thermodynamic analysis to estimate the load was used an aluminum plate located at the exit of combustion gases and the distribution of temperatures measured by a data acquisition system which recorded real-time measurements of the thermocouples attached. The burner had a stable combustion at levels of 15, 20 and 25% of adding glycerin in mass ratio of LPG gas, increasing the supply of heat to the plate. According to data obtained showed that there was an improvement in the efficiency of the 1st Law of infrared burner with increasing addition of glycerin. The emission levels of greenhouse gases produced by combustion (CO, NOx, SO2 and HC) met the environmental limits set by resolution No. 382/2006 of CONAMA

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The increasing use of fossil fuels in line with cities demographic explosion carries out to huge environmental impact in society. For mitigate these social impacts, regulatory requirements have positively influenced the environmental consciousness of society, as well as, the strategic behavior of businesses. Along with this environmental awareness, the regulatory organs have conquered and formulated new laws to control potentially polluting activities, mostly in the gas stations sector. Seeking for increasing market competitiveness, this sector needs to quickly respond to internal and external pressures, adapting to the new standards required in a strategic way to get the Green Badge . Gas stations have incorporated new strategies to attract and retain new customers whom present increasingly social demand. In the social dimension, these projects help the local economy by generating jobs and income distribution. In this survey, the present research aims to align the social, economic and environmental dimensions to set the sustainable performance indicators at Gas Stations sector in the city of Natal/RN. The Sustainable Balanced Scorecard (SBSC) framework was create with a set of indicators for mapping the production process of gas stations. This mapping aimed at identifying operational inefficiencies through multidimensional indicators. To carry out this research, was developed a system for evaluating the sustainability performance with application of Data Envelopment Analysis (DEA) through a quantitative method approach to detect system s efficiency level. In order to understand the systemic complexity, sub organizational processes were analyzed by the technique Network Data Envelopment Analysis (NDEA) figuring their micro activities to identify and diagnose the real causes of overall inefficiency. The sample size comprised 33 Gas stations and the conceptual model included 15 indicators distributed in the three dimensions of sustainability: social, environmental and economic. These three dimensions were measured by means of classical models DEA-CCR input oriented. To unify performance score of individual dimensions, was designed a unique grouping index based upon two means: arithmetic and weighted. After this, another analysis was performed to measure the four perspectives of SBSC: learning and growth, internal processes, customers, and financial, unifying, by averaging the performance scores. NDEA results showed that no company was assessed with excellence in sustainability performance. Some NDEA higher efficiency Gas Stations proved to be inefficient under certain perspectives of SBSC. In the sequence, a comparative sustainable performance and assessment analyzes among the gas station was done, enabling entrepreneurs evaluate their performance in the market competitors. Diagnoses were also obtained to support the decision making of entrepreneurs in improving the management of organizational resources and promote guidelines the regulators. Finally, the average index of sustainable performance was 69.42%, representing the efforts of the environmental suitability of the Gas station. This results point out a significant awareness of this segment, but it still needs further action to enhance sustainability in the long term

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Nowadays, telecommunications is one of the most dynamic and strategic areas in the world. Organizations are always seeking to find new management practices within an ever increasing competitive environment where resources are getting scarce. In this scenario, data obtained from business and corporate processes have even greater importance, although this data is not yet adequately explored. Knowledge Discovery in Databases (KDD) appears then, as an option to allow the study of complex problems in different areas of management. This work proposes both a systematization of KDD activities using concepts from different methodologies, such as CRISP-DM, SEMMA and FAYYAD approaches and a study concerning the viability of multivariate regression analysis models to explain corporative telecommunications sales using performance indicators. Thus, statistical methods were outlined to analyze the effects of such indicators on the behavior of business productivity. According to business and standard statistical analysis, equations were defined and fit to their respective determination coefficients. Tests of hypotheses were also conducted on parameters with the purpose of validating the regression models. The results show that there is a relationship between these development indicators and the amount of sales

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This thesis proposes the specification and performance analysis of a real-time communication mechanism for IEEE 802.11/11e standard. This approach is called Group Sequential Communication (GSC). The GSC has a better performance for dealing with small data packets when compared to the HCCA mechanism by adopting a decentralized medium access control using a publish/subscribe communication scheme. The main objective of the thesis is the HCCA overhead reduction of the Polling, ACK and QoS Null frames exchanged between the Hybrid Coordinator and the polled stations. The GSC eliminates the polling scheme used by HCCA scheduling algorithm by using a Virtual Token Passing procedure among members of the real-time group to whom a high-priority and sequential access to communication medium is granted. In order to improve the reliability of the mechanism proposed into a noisy channel, it is presented an error recovery scheme called second chance algorithm. This scheme is based on block acknowledgment strategy where there is a possibility of retransmitting when missing real-time messages. Thus, the GSC mechanism maintains the real-time traffic across many IEEE 802.11/11e devices, optimized bandwidth usage and minimal delay variation for data packets in the wireless network. For validation purpose of the communication scheme, the GSC and HCCA mechanisms have been implemented in network simulation software developed in C/C++ and their performance results were compared. The experiments show the efficiency of the GSC mechanism, especially in industrial communication scenarios.

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The greater part of monitoring onshore Oil and Gas environment currently are based on wireless solutions. However, these solutions have a technological configuration that are out-of-date, mainly because analog radios and inefficient communication topologies are used. On the other hand, solutions based in digital radios can provide more efficient solutions related to energy consumption, security and fault tolerance. Thus, this paper evaluated if the Wireless Sensor Network, communication technology based on digital radios, are adequate to monitoring Oil and Gas onshore wells. Percent of packets transmitted with successful, energy consumption, communication delay and routing techniques applied to a mesh topology will be used as metrics to validate the proposal in the different routing techniques through network simulation tool NS-2