997 resultados para Parámetros poblacionales


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The objective of this work was to typify, through physicochemical parameters, honey from Campos do Jordão’s microrregion, and verify how samples are grouped in accordance with the climatic production seasonality (summer and winter). It were assessed 30 samples of honey from beekeepers located in the cities of Monteiro Lobato, Campos do Jordão, Santo Antonio do Pinhal e São Bento do Sapucaí-SP, regarding both periods of honey production (November to February; July to September, during 2007 and 2008; n = 30). Samples were submitted to physicochemical analysis of total acidity, pH, humidity, water activity, density, aminoacids, ashes, color and electrical conductivity, identifying physicochemical standards of honey samples from both periods of production. Next, we carried out a cluster analysis of data using k-means algorithm, which grouped the samples into two classes (summer and winter). Thus, there was a supervised training of an Artificial Neural Network (ANN) using backpropagation algorithm. According to the analysis, the knowledge gained through the ANN classified the samples with 80% accuracy. It was observed that the ANNs have proved an effective tool to group samples of honey of the region of Campos do Jordao according to their physicochemical characteristics, depending on the different production periods.

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We investigated estradiol benzoate effects on oocytes/embryos recovery rate and the influence of this drug on the hematopoietic system. Twenty four bitches were divided in two groups, Group I, 12 females that received a single shot of estradiol benzoate, 0.2 mg/kg intramuscularly, between 2 and 7 days after the date of the last mismating or insemination and, Group II (control), 12 bitches that received 0.2 ml/kg of oily diluent, in corresponding dates. The bitches were ovary-hysterectomized and the uterus/oviduct were isolated and flushed with a PBS, heparin and polyvinyl alcohol solution. Oocytes and embryos were quantified and classified according to their stage of development. Blood counts were performed on M1 (before drug administration), M2 (15 days after drug administration) and M3 (40 days after drug administration). Pearson correlation coefficient was used to analyze the variable retrieval structures, while Fisher exact test was used for the analysis of embryonic viability. ANOVA was used to analyze repeated measurements and Tukey test for hematological parameters. All tests were performed at 5% significance level. The recovery rate of total structures in group I was lower (22.88%) than group II (65.85%). A lower embryo recovery (ratio 3: 52) rate and a greater number of degenerated structures (ratio 11: 1) were observed in group I. Hematological parameters showed significant difference in erythrocytes, hematocrit and hemoglobin concentrations 15 days after drug administration and difference in leukocytes concentration 40 days after using the medication in bitches of group I, however, at the end of the experiment all bitches had blood counts considered normal.

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Time series tendencies are an important tool for different sectors such as the scientific community, industries and environmental protection agencies who can evaluate the variability of a specific parameter in time, what is very important piece of information for establishing corrective and preventive actions. This work presents a time series model of main physical, chemical and biological parameters of the Water Quality Index (WQI) determined for different selected points of a hydrographical basin form May/2006 to Aug/2010. The statistical model Arima enabled a better understanding of the physical, chemical and biological processes that most clearly influences WQI. The Arima model allowed the assessment of the trend of several parameters used in the calculation of the WQI, showing that dissolved oxygen, turbidity, total nitrogen, and fecal E. coli were highly correlated and are the parameters that caused the index changes over time.

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The industry of sugar cane has become an important contributor to the generation of electricity in Brazil. Currently there are 434 sugar and ethanol plants operating in the country, 23% of the total export electricity to the National Integrated System (SIN), the state of São Paulo has 182 plants and 30% of them export energy to the SIN. The objective of this study is to compare parameters of electrical efficiency in the sugar and alcohol industry. For the study, three plants localized in the midwest region of Sao Paulo state with great potential for production and exporting bioenergy were chosen. Five energy analyzers LANDYS + GYR SAGA were used for measure the electrical parameters. The variables studied were energy consumption (C) and power factor (PF). For the statistical analysis it was adopteda randomized block design in a factorial 3 5composed of three companies and five sectors of energy consumption,in which: reception(1), milling (2), boiler (3), supporting activities / juice treatment (4), and distillation (5), totaling 15 treatments. Each group comprised 192 repetitions (48 hours 4 measurements per hour). It was concluded that there is no interest for the plans to fix the FP and reach a value 0.92, which is considered the ideal power factor.This,because the plants generate their own energy and are not penalized. Regarding the energy consumed, all sectors had significant differences. When comparingsector to sector, the plant called USB showed no significant differences in sectors 1 and 3, and the plant USC, in sectors 1 and 4. Considering the production units of this sector and selling power this type of evaluation is essential to perform this analysis, since the analyzed sectors are most important in the production of sugar and ethanol, and analyze and monitor these parameters, use and consumption energy can provide a greater supply of energy to be commercialized.

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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.

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The feeding diets were evaluated containing low and high levels of soybean oil for horses athletes subjected to two protocols of aerobic training on the response of basal blood biochemical parameters. Four horses were used in latin square design with treatments in a 2 x 2 factorial arrangement. Treatments consisted levels of 5 and 15% oil concentrates and two aerobic training, 40' and 60' minutes. Plasmatic parameters were monitored, triglyceride (TG), total cholesterol (TC), glucose (GLU) and lactate (LAC), during basal metabolism. The TG, TC, GLU and LAC from horses at rest were not affected (P> 0.05) neither of diet and physical activity, 0.21, 3.79, 4.18, 0.93 mmol L-1, respectively. It can be concluded that offer concentrate with high content of soybean oil to athletic horses in aerobic activities can be performed without altering the blood biochemical profile of basal metabolism.

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