977 resultados para St. Joseph Catholic Benevolent Association (Fort Wayne, Ind.)
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The present study has proposed a structural model to identify the reasons why individuals become voluntary, keep and exit this type of work. The empirical space was the Pastoral da Criança - social action agency of the National Conference of Bishops of Brazil (CNBB) - community-based institution that has its work based on solidarity and the sharing of knowledge. The theoretical framework has the context in which are volunteering studies in Brazilian and world level. Then discuss the various concepts of volunteering and presented the theoretical models of volunteer motivation. Studies of Mostyn (1983) and studies conducted by the BEPEGE-Base for Studies and Research in Management Policies and Strategies - in their line of research GERQUAL - Human Resource Management and Organizational Quality - of the Federal University of Rio Grande do Norte as Carvalho e Souza(2006), Souza, Medeiros e Fernandes (2006), Souza et al (2009, 2010), Cavalcante et al (2011a, 2011b, 2011c, 2011d) were the main theoretical references for the construction of the model that was tested. Data collection was done through a survey with 71 indicators, in 2 visits to cities from the Diocese of Pesqueira, Pernambuco. The first data collection occurred in the period between May 30 and June 3, 2011, in Buique/PE and the second collection happened in Pesqueira/PE, in St. Joseph Seminary, in the period between July 6-8, 2011. 720 questionnaires were collected. The sample was divided into two parts. Exploratory Factor Analysis was applied in first part and Confirmatory Factor Analysis - structural equation modeling - in the second half. The examination of the results achieved by the expectations, reasons for entry, reasons for staying and exit reasons showed that all hypotheses were accepted. So the motivation of voluntary Pastoral da Criança can be explained by a set of interactions between these five constructs: Altruistic, Affectionate, Amiable, Adjusted and Astute
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The objective of this project was to study the influence of surcharge pressure and moisture content on the compressive behavior and bulk density of soybeans. Three varieties were selected with varying dimensions and shapes. Moisture contents of 10.5, 15.0, and 20% were tested at nine surcharge pressures in the range from 0 to 82.8 kPa. Results indicated that the bulk densities of different soybean varieties have similar behavior with respect to pressure level and moisture content but that the magnitude of bulk density was influenced by variety, Bulk density was influenced by both pressure level and moisture content. The four-element Burger model was found to adequately describe the bulk density of soybeans as a function of pressure for all varieties and moisture levels.
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The aim of this study was to develop a laboratory method for time response evaluation on electronically controlled spray equipment using Programmable Logic Controllers (PLCs). For that purpose, a PLC controlled digital drive inverter was set up to drive an asynchronous electric motor linked to a centrifugal pump on a experimental sprayer equipped with electronic flow control. The PLC was operated via RS232 serial communication from a PC computer. A user program was written to control de motor by adjusting the following system variables, all related to the motor speed: time stopped; ramp up and ramp down times, time running at a given constant speed and ramp down time to stop the motor. This set up was used in conjunction with a data acquisition system to perform laboratory tests with an electronically controlled sprayer. Time response for pressure stabilization was measured while changing the pump speed by +/-20%. The results showed that for a 0.2 s ramp time increasing the motor speed, as an example, an AgLogix Flow Control system (Midwest Technologies Inc.) took 22 s in average to readjust the pressure. When decreasing the motor speed, this time response was down to 8 s. General results also showed that this kind of methodology could make easier the definition of standards for tests on electronically controlled application equipment.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The accurate identification of the nitrogen content in plants is extremely important since it involves economic aspects and environmental impacts, Several experimental tests have been carried out to obtain characteristics and parameters associated with the health of plants and its growing. The nitrogen content identification in plants involves a lot of non-linear parameters and complexes mathematical models. This paper describes a novel approach for identification of nitrogen content thought SPAD index using artificial neural networks (ANN). The network acts as identifier of relationships among, crop varieties, fertilizer treatments, type of leaf and nitrogen content in the plants (target). So, nitrogen content can be generalized and estimated and from an input parameter set. This approach can form the basis for development of an accurate real time system to predict nitrogen content in plants.
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Radiative properties (reflectance rho, transmittance tau, and absorptance alpha) were determined for wavelengths from 300 to 850 nm in the haircoat and the skin of water buffalo, deer (Pantanal deer, Blastocerus dichotomus), and cattle of the Holstein, Simmental, Canchim, Brangus, and Nelore breeds. The results showed that white hairs have higher rho (0.60 to 0.67) than the other coat colors, but the gray coats (mixed white and dark hair) of the Nelore cattle presented higher rho than that of the white coats of the European breeds at wavelengths lower than 600 nm. The light gray colored skin of the Canchim cattle had higher rho (0. 66) than the non-pigmented skin of Holstein (0.53). Red skins presented rho values higher than those of dark gray and black skins. Buffalo skin (dark gray) presented an average rho of 0.23+/-0.02 and alpha of 0.77+/-0.02. The red haircoat of the deer presented rho lower (0.37) than that of cattle of the same color (0.58). However, there was little difference between deer and cattle with respect to reflectance and absorptance of the skin. As for the spectral transmittance of the skin, it was very low and about the same for both species, until 600 nm. In the range 600 to 850 nm, the tau values for cattle rose to 0. 17, while those for deer increased only to 0.12.
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Eight non-lactating Alpine goats, averaging 57kg, were paired according to weight and assigned randomly to 2 groups of 4 animals, control (CG) and treatment (TG) with feed and water ad libitum. An adjustment period of 7 days with all animals at thermoneutral conditions was followed by a 28-day period when TG was exposed to air temperatures averaging 35.0 degrees C, from 0800 to 1700h, including simulated solar radiation, and thermoneutral conditions from 2700 to 0800h. CG remained under thermoneutral conditions. Respiratory frequency was greater, tidal volume lower, and respiratory minute volume greater for TG than CG (176 vs 30 breaths/min, P<.001, 105 vs 293ml, P<.01; 18.4 vs 9.21, P<.05). Respiratory evaporation and sweating rate as well as rectal and skin temperatures were greater for TG than CG (14.59 vs 6.32 kcal h(-1), P<.01; 43.97 vs.00 g m(-2) h(-1), P<.001; 40.0 vs 38.9 degrees C, P<.001; 39.3 vs 35.8 degrees C, P<.01). There was no difference between groups for hematocrit and feed intake, but water consumption was greater for stressed goats than control ones (28.3 vs 29.7%; 1.44 vs 1.49 kg/day; 3.07 vs 1.26 I/day, P<.05), Final body weights of both groups were similar to initial ones. It was concluded that non-lactating goats tolerated well a 35 degrees C day temperature which is 5 degrees C above the upper critical temperature, with a black-globe temperature of 39.1 degrees C and a Botsball temperature of 28.3 degrees C, though a certain degree of hyperthermia may occur, as long as thermoneutral conditions have prevailed during the night.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The title of this volume promises more than the content delivers. The heart of the book is information from Ward's 1992 University of Chicago doctoral dissertation, which focused on the social and cultural reasons leading to students dropping out of school. Her first two chapters provide a good review of research on dropouts and Indian education; the following six focus on the results of her 1987-1989 study of 698 Northern Cheyenne, Crow, and white high school students attending the Colstrip Public, St. Labre Catholic, and Busby Tribal Schools in Montana. Fifty-two percent of the students in this study were Indian, with a dropout rate of 45% .
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Maize is one of the most important crops in the world. The products generated from this crop are largely used in the starch industry, the animal and human nutrition sector, and biomass energy production and refineries. For these reasons, there is much interest in figuring the potential grain yield of maize genotypes in relation to the environment in which they will be grown, as the productivity directly affects agribusiness or farm profitability. Questions like these can be investigated with ecophysiological crop models, which can be organized according to different philosophies and structures. The main objective of this work is to conceptualize a stochastic model for predicting maize grain yield and productivity under different conditions of water supply while considering the uncertainties of daily climate data. Therefore, one focus is to explain the model construction in detail, and the other is to present some results in light of the philosophy adopted. A deterministic model was built as the basis for the stochastic model. The former performed well in terms of the curve shape of the above-ground dry matter over time as well as the grain yield under full and moderate water deficit conditions. Through the use of a triangular distribution for the harvest index and a bivariate normal distribution of the averaged daily solar radiation and air temperature, the stochastic model satisfactorily simulated grain productivity, i.e., it was found that 10,604 kg ha(-1) is the most likely grain productivity, very similar to the productivity simulated by the deterministic model and for the real conditions based on a field experiment.
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Agricultural workers are exposed to various risks, including chemical agents, noise, and many other factors. One of the most characteristic and least known risk factors is constituted by the microclimatic conditions in the different phases of work (in field, in greenhouse, etc). A typical condition is thermal stress due to high temperatures during harvesting operations in open fields or in greenhouses. In Italy, harvesting is carried out for many hours during the day, mainly in the summer, with temperatures often higher than 30 degrees C. According to ISO 7243, these conditions can be considered dangerous for workers' health. The aim of this study is to assess the risks of exposure to microclimatic conditions (heat) for fruit and vegetable harvesters in central Italy by applying methods established by international standards. In order to estimate the risk for workers, the air temperature, radiative temperature, and air speed were measured using instruments in conformity with ISO 7726. Thermodynamic parameters and two more subjective parameters, clothing and the metabolic heat production rate related to the worker's physical activity, were used to calculate the predicted heat strain (PHS) for the exposed workers in conformity with ISO 7933. Environmental and subjective parameters were also measured for greenhouse workers, according to ISO 7243, in order to calculate the wet-bulb globe temperature (WBGT). The results show a slight risk for workers during manual harvesting in the field. On the other hand, the data collected in the greenhouses show that the risk for workers must not be underestimated. The results of the study show that, for manual harvesting work in climates similar to central Italy, it is essential to provide plenty of drinking water and acclimatization for the workers in order to reduce health risks. Moreover, the study emphasizes that the possible health risks for greenhouse workers increase from the month of April through July.
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Tomatoes are the most common crop in Italy. The production cycle requires operations in the field and factory that can cause musculoskeletal disorders due to the repetitive movements of the upper limbs of the workers employed in the sorting phase. This research aims to evaluate these risks using the OCRA (occupational repetitive actions) index method This method is based firstly on the calculation of a maximum number of recommended actions, related to the way the operation is performed, and secondly on a comparison of the number of actions effectively carried out by the upper limb with the recommended calculated value. The results of the risk evaluation for workers who manually sort tomatoes during harvest showed a risk for the workers, with an exposure index greater than 20; the OCRA index defines an index higher than 3.5 as unacceptable. The present trend of replacing manual sorting onboard a vehicle with optical sorters seems to be appropriate to reduce the risk of work-related musculoskeletal disorders (WMSDs) and is supported from both a financial point of view and as a quality control measure.
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http://www.chausa.org/docs/default-source/health-progress/hp1001l-pdf.pdf?sfvrsn=0