A iteratividade: do melodrama à narrativa audiovisual sob demanda

The repetition should be understood as the property of mass cultural products, originated from the need to minimize the dispersion of the audience in their enjoyment. Based on this assumption, this paper measures the rate of iteration manifested in the scripts of the following serial fictions: Duas Caras, A Grande Família and House of Cards. Established itself as a method of scene analysis proposed by McKee (2008), questioned whether the lack of classical education of the public and rescued the forms assumed by repeating the melodrama, romance-serial and dramaturgy: asides, monologues, confidences and planar scenes. The proposal was applied in two scripts for each of the aforementioned productions. Considering the data collected, it appears that there was reduction in repeat products offered on demand thanks to the possibility of handling the flow and the attention given receptor.

Miedo e inseguridad de la gestante durante el trabajo de parto como motivos para la demanda de internación precoz

Objective. To identify reasons why women look for early health care attention at the end of pregnancy. Methodology. Qualitative study based in socio-existential phenomenology proposed by Alfred Schütz. Nine pregnant women who consulted to the maternity service without being in real labor were interviewed. Results. The following analysis categories emerged: Having different symptoms or signals from the ones they had felt or been informed about, not being able to identify real labor, fear to fetal complications for being close to the probable labor date, feeling calmer when being seen by professionals of the institution, lack of problem solving by other services of the health institution, fearing out of hospital delivery, imitating real labor, looking for tranquility in the idealization of labor and modifying behaviors to guarantee attention. Conclusion. Women are insecure and fear because of a fragmented health care, where they do not perceive themselves linked to the prenatal control program anymore, and at the same time they don’t find the health care assistance they want.

Análise parâmetros elétricos consumo, fator de carga e demanda de empresas de refino de óleo vegetal

Empresas muitas vezes tem seu consumo de energia elétrica descontrolados por possuírem motores elétricos muitas vezes super-dimensionados, trabalhando em vazio ou em horário de pico. Sendo este tipo de atividade responsável por grande parte do gasto energético da empresa. Existem dois fatores que avaliam o modo de utilização desta energia, denominados fator de potência (fp) e fator de carga (fc), que indicam a eficiência e racionalidade da forma de utilização da energia elétrica, respectivamente. A necessidade de uma avaliação global da utilização da energia, levando em consideração os dois fatores citados, é realizada por especialistas da área energética para a determinação da situação real da empresa. Podendo ser uma tarefa árdua muitas vezes demorada. Para isto é necessária uma análise estatística descritiva dos dados. Este trabalho tem como objetivo realizar esta analise de dados de uma empresa de refino de óleo vegetal.

Demanda energética de máquinas agrícolas na implantação da cultura do sorgo forrageiro

Forage sorghum can be grown in areas and environmental conditions dry and warm, where the productivity of other forage plants can often be uneconomical. The soil disturbance can be made only on the lines of planting (direct seeding) or entirely from the area for seeding (conventional tillage), as plowing, harrowing, subsoiling and chiseling (minimum tillage). The displacement speed ideal for planting is one in which the groove is opened and closed without removing the over-ground, allowing the distribution of seed spacing and depth constant. The experiment was conducted in a soil classified as Typic Oxisol at Lageado Experimental Farm, Faculty of Agronomic Sciences, UNESP, Botucatu campus. This study aimed to evaluate the response of sorghum in four forward speeds (3, 5, 6 and 9 km h-1) and four systems of soil management: SD (direct seeding), GP (harrow + sowing), LPG (disc harrow and two light disking + sowing) and CR (scarification and seeding). Data was subjected to analysis of variance in a factorial 4 x 4 and a randomized block design with split plots. The following parameters were determined: average speed, average strength of the drawbar, the average power drawbar, theoretical field capacity of the tractor-equipment, fuel consumption per hour. For the conditions under which the experiment was conducted, it was concluded that the hourly fuel consumption was not influenced by tillage systems and was inversely proportional to the increase of speed work, and that the change of speed in the sowing operation did not provide additional the values of average traction force on the bar of the tractor-planter.

Características agronômicas e demanda energética de cultivares de soja sob efeito dos sistemas de preparo do solo

The aim of this study was to evaluate the influence of preparation: intermediate grade, minimum tillage and no-till on the agronomic characteristics and energy demand of transgenic soybean cultivars and non-GMO soybeans. Soil preparation aims at improving physical, chemical and biological conditions, aiming at good emergence and plant development. The different types of tillage may interfere with the agronomic characteristics and productivity of plants, and in energy use which can cause variation in production costs. Genetically modified plants can be one of the alternatives for reduction of production costs in crops by reducing pesticide applications, enabling higher productivity with less environmental impact. The test was conducted in 2010/2011 at the agricultural Experimental Farm Lageado, belonging to the Faculty of Agronomic Sciences – UNESP, located in the city of Botucatu, SP in an area using no-till systems for the past 12 years. The experiment was carried out in a 3 x 2 factorial, randomized treatments were comprised of three soil preparation systems, minimum cultivation, intermediate grade preparation and no-till, with two cultivars of soybeans: MGBR-46 Conquest (conventional), Valuable RR (Transgenic). The data obtained was submitted to variance analysis using Tukey test at a 5% probability. With the results analyzed it might be observed that there was no significant difference between treatments, in the variables, the percentage of soil cover, final soybean plant population, grain yield and plant height. The results obtained show that the no-till system resulted in higher productivity than conventional tillage and minimum cultivation. The higher specific energy use per area was observed in minimum cultivation with a chisel plough, when compared to the preparation across the grid. The greatest fuel consumption was to treat minimum cultivation with chisel plough. The highest values were found in the skating system of minimum cultivation, being greater in conventional tillage system. It is more satisfactory for the producer to sow transgenic soy using a no-till system, because productivity retrieved from that system compensates for fuel expenditure.

Demanda energética em diferentes manejos de solo e híbridos de milho

This study aimed to account the energy balance of six different farming systems: CMT (minimum tillage with transgenic corn); CMNT (minimum tillage with non-transgenic corn); PCT (conventional tillage with transgenic corn); PCNT (conventional tillage with non-transgenic corn); PDT (no-tillage system with transgenic corn) and PDNT (no-tillage system with non-transgenic corn). The study was carried out at the Experimental Farm Lageado FCA/Unesp, Botucatu - SP. The energy balance was performed by subtracting the total energy inputs by the total energy output. Energy efficiency was calculated by dividing the total energy output by the total energy inputs. The total values ​​of energy inputs and outputs were expressed in MJ.ha-1 (mega joules per hectare). To calculate the energy inputs were accounted the fuel consumption and lubricants, depreciation energy of machinery and implements, manpower and agricultural inputs. The energy outputs were calculated according to the maize yield. The result shows that the system PDT was the system that had better energy efficiency and the system that had the lowest efficiency was the PCT system. The system with lower energy demand was the PDT and the greatest demand was PCNT.

Previsão de demanda de veículos automotores através do modelo de regressão linear múltipla

This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model

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

Efeitos da luz visível associada à ftalocianina de cloro-alumínio na inativação da Borrelia anserina

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Previsão de demanda de veículos automotores através do modelo de regressão linear múltipla

This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model

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

Efeitos da luz visível associada à ftalocianina de cloro-alumínio na inativação da Borrelia anserina

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Perfil da demanda por microcomputadores no Brasil: o que os microdados da POF-IBGE indicam?

Neste estudo, analisou-se a relação entre a despesa domiciliar com a compra de computadores e as características demográficas e socioeconômicas dos domicílios brasileiros. Foram utilizados os microdados de duas Pesquisas de Orçamentos Familiares (POF), elaboradas pelo Instituto Brasileiro de Geografia e Estatística (IBGE): 2002-2003 e 2008-2009. Essas bases permitiram que se utilizasse a despesa total per capita como variável definidora do poder aquisitivo do domicílio. Foi adotada uma abordagem econométrica para a natureza desse tipo de análise, isto é, o modelo de seleção de Heckman, que envolve dois estágios. No primeiro, analisaram-se os fatores associados à probabilidade de ocorrência da despesa e, no segundo, foram avaliados os fatores associados aos valores da despesa efetuada. Os principais resultados indicaram que o perfil do chefe (gênero e idade) e a composição dos domicílios e escolaridade dos moradores são fatores relevantes tanto para a decisão de gastar quanto para a decisão sobre o valor a ser gasto. A redução da elasticidade que relaciona as despesas com computador ao poder aquisitivo do domicílio (em 2002-2003 foi 0,56763, enquanto em 2008-2009 caiu para 0,41546) pode ser explicada pela queda no preço dos computadores e pelo aumento do poder de compra das famílias.

Nursing Activities Score e demanda de trabalho de enfermagem em terapia intensiva

OBJETIVO: Medir e caracterizar a carga de trabalho de enfermagem em Unidade de Terapia Intensiva (UTI) por meio da aplicação do Nursing Activities Score (NAS). MÉTODOS: Estudo descritivo quantitativo, retrospectivo, realizado em uma das UTIs de um Hospital Filantrópico de Teresina- PI, de setembro a outubro de 2010, com amostra de 66 pacientes. Foram realizadas 285 medidas do escore NAS. RESULTADOS: Quanto à carga de trabalho de enfermagem, foi verificada uma média do escore total do NAS de 68,1% (51,5% e 108,3%), correspondendo à porcentagem de tempo gasto pelo profissional de enfermagem na assistência direta ao paciente nas 24 horas. Houve correlação estatística entre NAS e desfecho clínico (p= 0,001). Já entre NAS e tempo de internação (p= 0,073) e NAS e idade (p=0,952), não houve significância estatística. CONCLUSÃO: Os resultados mostraram que os pacientes apresentaram elevada necessidade de cuidados, refletida pela média elevada do NAS.