Propriedades luminescentes de polioxometalato contendo európio(III) correlacionadas à sua conformação em sólido estendido e em filmes auto-organizados de Langmuir e Langmuir-Blodgett

Pós-graduação em Química - IQ

Influência da música preferida no desempenho e estados afetivos de idosos durante exercício de intensidade auto-selecionada

Low adherence to physical exercise programs is a factor that contributes to the high rates of physical inactivity worldwide. In this sense, strategies to improve the affective responses during exercise are used to impact adherence, as the use of music and self-selected exercise intensity. Despite the benefits of these strategies, there are few studies involving the combination of both (self-selected intensity and music), especially in the elderly population. Thus, the aim of this study was to investigate the influence of music on performance, ratings of perceived exertion (RPE) and on affective and motivational responses of elderly during walking exercise with self-selected intensity. Eleven elderly performed walking sessions on an athletic track in three conditions: without music, with motivational music and with oudeterous music. RPE, mood states, motivation, affective responses, session RPE and attitudes related to the experience of exercise were evaluated. Results demonstrated that both motivational and oudeterous music improved affective responses and decreased RPE. However, only the motivational music condition showed an effect on distance walked, the only presenting a consistent increase in distance. Therefore, it is concluded that the use of music, particularly motivational music, besides increasing the distance walked, reduces RPE and increase pleasure of the elderly during the exercise. Such strategy, in addition to potentially impact adherence positively, can lead to greater benefits and physical adaptations related to the training in the long term

O olhar de um discente sobre seu futuro docente: uma trajetória auto formativa

The writings of this paper refer to several personal experiences as well as the various conflicts in the initial educational formation, where I'm reflecting about the formation intentions of this course. I do an analysis and a reflection of the pedagogical practices developed during graduation in institutional spaces, as well as the understanding of the complex context and teaching actions intrinsic to this, that are what constitute the structural dimensions which is where the formative process happens. This study is a narrative of initial formation as autobiographical. Memories and experiences are analyzed along with undergraduate education, exposing structural problems of course requiring a deeper analysis. In addition to analyse critically the institutional spaces of the (few) outreach programs, education and research that are the basis of the Brazilian University, the wellknown University quadripod. Under this perspective, the narrative brings the dichotomous design of the quadripod inside the University course, exposing the need to reflect on this fact, as it culminates in the formation of future teachers in physics. Nevertheless, the work seeks to raise awareness for the need for enhancement of teaching career at the University to address the teaching crisis which today proliferates in the educational institutions in Brazil, therefore it is necessary to the teachers to become aware of your profession and the vision as such. Only from this perspective one can discuss a proper teacher training, aiming at the integration of all activities, valuing all with the same importance

Avaliação histológica e videolaparoscópica de ligaduras dos pedículos ovarianos realizados com mononáilon agulhado ou abraçadeiras auto-estáticas de náilon em cadelas submetidas à ovariossalpingohisterectomia pela técnica do gancho

A procriação excessiva de cães e gatos no ambiente urbano é um problema de saúde pública e de bem estar animal. Para se desenvolver campanhas de controle populacional necessita-se de protocolos cirúrgicos seguros, rápidos e de baixo custo. A abraçadeira auto-estática de náilon aparentemente se encaixa neste perfil. Objetivou-se avaliar por laparoscopia e histologia, a reação tecidual após a ligadura dos pedículos ovarianos com abraçadeira auto-estática ou mononáilon agulhado na ovariosalpingohisterectomia em 18 cadelas. Após 60 dias do procedimento cirúrgico não foi observada pela laparoscopia nenhuma aderência ou alteração macroscópica e a histologia dos fragmentos dos pedículos ovarianos demonstrou que a resposta tecidual não diferiu entre os métodos, revelando que a abraçadeira auto-estática pode ser usada como método de ligadura dos pedículos ovarianos de cadelas submetidas à ovariosalpingohisterectomia.

Auto-organização, complexidade e formação da consciência bioética

This article introduces the concepts of self-organization and autonomy as presented by the thought of Michel Debrun and Edgar Morin and their relationship to the development of a bioethical conscience by means of the school educational process. The proposal aims to contribute to the development of autonomy of students and thus be conducive to their self-organization as “responsible ethical subjects”.

Desenvolvimento de modelo auto-regressivo para previsão em pronto-atendimento

The 1988 constitution makes an life is a supreme good when increased health as the fundamental condition requiring that all ill patient has the right to be treated in a public hospital (CF, art. 196). In this sense, the goal of this work is to generate a weekly forecast of hospital care by means of an advanced prediction model. It is expected that the model of self-regressivas seasonal moving averages SARIMA generate reliable and adherent to issue forecasts analyzed, thus enabling better resource allocation and more efficient hospital management

Métodos de previsão auto-regressivo aplicado a uma série de volume de produção de caminhões

The national truck fleet has expanded strongly in recent decades. However, due to fluctuations in the demand that the market is exposed, it needed up making more effective strategic decisions of automakers. These decisions are made after an evaluation of guaranteed sales forecasts. This work aims to generate an annual forecast of truck production by Box and Jenkins methodology. They used annual data for referring forecast modeling from the year 1957 to 2014, which were obtained by the National Association of Motor Vehicle Manufacturers (Anfavea). The model used was Autoregressive Integrated Moving Average (ARIMA) and can choose the best model for the series under study, and the ARIMA (2,1,3) as representative for conducting truck production forecast

Modelagem auto-regressiva na previsão de demanda dos produtos de uma empresa do setor químico

Considering the high competitiveness in the industrial chemical sector, demand forecast is a relevant factor for decision-making. There is a need for tools capable of assisting in the analysis and definition of the forecast. In that sense, the objective is to generate the chemical industry forecast using an advanced forecasting model and thus verify the accuracy of the method. Because it is time series with seasonality, the model of seasonal autoregressive integrated moving average - SARIMA generated reliable forecasts and acceding to the problem analyzed, thus enabling, through validation with real data improvements in the management and decision making of supply chain

Aplicação do valor presente ajustado (APV) para avaliação do fluxo de caixa de uma empresa do setor automotivo no sistema inovar auto

The automobile industry shows relevance inside the Brazilian industrial scenario since it contributes with the development of a significant chain of supply, distributors, workshops, publicity agencies and insurance companies in the internal market, aside from being one of the five biggest worldwide market. Thereby, the federal government decreed in Dec, 17th 2012 by Law nº 12.715 the Inovar-Auto Program. As the Adjusted Present Value (APV) is highly recommended, although not yet widespread to public politics of tax reduction, this work intends to apply the APV method on the cash flow analysis of an automobile sector's company, which has recently installed in national territory and wants to rely with governmental incentives proposed by Inovar-Auto Program. The developed work evaluates the company's current cash flow stochastically from mathematical modeling of variables such as price, demand and interest rate through probability distributions with the assist of Crystal Ball software, a Microsoft Excel Add-in, generating different scenarios from Monte Carlo Simulation. As results probabilities situations have been evaluated until the end of the Inovar-Auto's conducted period, in 2017. Beside APV others indicator such as Internal Rate of Return (IRR) and payback period were estimated for the investment project. For APV a sampling distribution with only 0.057% of risk, IRR of 29% were obtained and estimated project payback period was 4.13 years

Estudo da viabilidade de implantação do INOVAR-AUTO utilizando o método do fluxo de caixa sob risco

The automobile industry has a growing importance in the Brazilian economic environment. The industry moves a huge chain that encompasses manufacturers, suppliers of raw materials, auto parts dealers, gas stations, insurance companies, repair shops, tire stores, media companies, advertising agencies, among others. Because of this importance in the current economic environment in Brazil, the federal government, through Law No. 12715 of 17 December 2012 established a Program for the Promotion of Innovation and Densification in the Productive Chain of Motor Vehicles called INOVAR-AUTO in order to support technological development, innovation, safety, environmental protection, energy efficiency and quality of cars, trucks, buses and auto parts. The specific purpose of this study, a simulation for discussion of the viability of the program implementation using the Monte Carlo Simulation combined with the Cash-Flow-at-Risk was performed. To this end, an exploratory and documentary literature on the subject was held as well as a case study in a automobile company of Japanese origin

Processos de auto-regulação no curso de vida: controle primário e controle secundário

Este artigo discute conceitos relevantes à perspectiva do curso de vida, porém pouco difundidos no Brasil: controle primário e controle secundário. O primeiro se refere aos esforços que o indivíduo empreende para adaptar o ambiente às suas necessidades; o segundo, para se adaptar ao ambiente. Apresenta-se a formulação original dos conceitos como modelo de dois processos de controle, em oposição a modelos de processo único, como o do desamparo aprendido. Em seguida, discute-se revisão conceitual que trouxe modificação e ampliação para estes construtos, concebendo-os em um modelo bidimensional que articula controle primário e secundário com os conceitos de seleção e compensação. Nesse processo, apresentam-se contribuições no intuito de estimular a reflexão e expandir a discussão teórico-conceitual que envolve estes construtos.

Desenvolvimento de modelo auto-regressivo para previsão em pronto-atendimento

The 1988 constitution makes an life is a supreme good when increased health as the fundamental condition requiring that all ill patient has the right to be treated in a public hospital (CF, art. 196). In this sense, the goal of this work is to generate a weekly forecast of hospital care by means of an advanced prediction model. It is expected that the model of self-regressivas seasonal moving averages SARIMA generate reliable and adherent to issue forecasts analyzed, thus enabling better resource allocation and more efficient hospital management

Métodos de previsão auto-regressivo aplicado a uma série de volume de produção de caminhões

The national truck fleet has expanded strongly in recent decades. However, due to fluctuations in the demand that the market is exposed, it needed up making more effective strategic decisions of automakers. These decisions are made after an evaluation of guaranteed sales forecasts. This work aims to generate an annual forecast of truck production by Box and Jenkins methodology. They used annual data for referring forecast modeling from the year 1957 to 2014, which were obtained by the National Association of Motor Vehicle Manufacturers (Anfavea). The model used was Autoregressive Integrated Moving Average (ARIMA) and can choose the best model for the series under study, and the ARIMA (2,1,3) as representative for conducting truck production forecast

Modelagem auto-regressiva na previsão de demanda dos produtos de uma empresa do setor químico

Considering the high competitiveness in the industrial chemical sector, demand forecast is a relevant factor for decision-making. There is a need for tools capable of assisting in the analysis and definition of the forecast. In that sense, the objective is to generate the chemical industry forecast using an advanced forecasting model and thus verify the accuracy of the method. Because it is time series with seasonality, the model of seasonal autoregressive integrated moving average - SARIMA generated reliable forecasts and acceding to the problem analyzed, thus enabling, through validation with real data improvements in the management and decision making of supply chain

Aplicação do valor presente ajustado (APV) para avaliação do fluxo de caixa de uma empresa do setor automotivo no sistema inovar auto

The automobile industry shows relevance inside the Brazilian industrial scenario since it contributes with the development of a significant chain of supply, distributors, workshops, publicity agencies and insurance companies in the internal market, aside from being one of the five biggest worldwide market. Thereby, the federal government decreed in Dec, 17th 2012 by Law nº 12.715 the Inovar-Auto Program. As the Adjusted Present Value (APV) is highly recommended, although not yet widespread to public politics of tax reduction, this work intends to apply the APV method on the cash flow analysis of an automobile sector's company, which has recently installed in national territory and wants to rely with governmental incentives proposed by Inovar-Auto Program. The developed work evaluates the company's current cash flow stochastically from mathematical modeling of variables such as price, demand and interest rate through probability distributions with the assist of Crystal Ball software, a Microsoft Excel Add-in, generating different scenarios from Monte Carlo Simulation. As results probabilities situations have been evaluated until the end of the Inovar-Auto's conducted period, in 2017. Beside APV others indicator such as Internal Rate of Return (IRR) and payback period were estimated for the investment project. For APV a sampling distribution with only 0.057% of risk, IRR of 29% were obtained and estimated project payback period was 4.13 years