Caracterização hidroquímica do sistema aquífero Tubarão no município de Americana/SP

The growing interest in the use of groundwater resources is directly related to the economic advantages that the groundwater exploitation offers when compared to surface waters. This happens especially in large urban centers, such as the city of Americana / SP, where the rivers are increasingly contaminated by household and industrial waste. Therefore, this study aimed to characterize the Tubarão Aquifer System, in the city of Americana, to identify and evaluate the spatial distribution of different hydrogeochemical facies as well as understand the rock-fluid interaction through the construction of a conceptual hydrogeochemical model. This study was made based on the recognition of the possible chemical reactions that print the chemical characteristics of groundwater in the area. To do the job, there were two water sampling campaigns of all deep wells used by the City of Americana public water supply. From the results of hydrochemical, classification of water was made by Piper and Stiff diagrams as well as geostatistical data using cluster analysis of principal components. Based on information from the profiles obtained from the survey SIAGAS as well as in geological profiles provided by the city of Americana, we sought to detail the subsurface geology of the Subgroup Itararé in the city of Americana. The results obtained allowed the identification of three hydrochemical types in the study area: Bicarbonated calcium-sodium (1), bicarbonate sodium (2) and sodium chloride (3). The waters have bicarbonate alkaline pH to alkaline and can be considered weakly saline, with electrical conductivity values of around 161 mS / cm. Samples classified as sodium bicarbonate average of 174.99 mS / cm. The pH values ranging from 6.74 to 7.99, averaging 7.52. For the group of waters classified as sodium chloride, conductivity average is 164.32 mS / cm and pH values ranging... (Complete abstract click electronic access below)

Modelagem para identificação de indicadores de eficiência energética para edificações e plantas industriais

Pós-graduação em Engenharia Mecânica - FEG

Análise de agrupamentos para o reconhecimento de padrões de infestação de aracnídeos em zonas urbanas

Pós-graduação em Biociências - FCLAS

A sazonalidade ambiental afeta a composição faunística de Ephemeroptera e Trichoptera em um riacho de Cerrado do Sudeste do Brasil?

In this paper, data on the fauna of Ephemeroptera and Trichoptera (ET) from a Cerrado stream was analysed in order to test the hypothesis that the high seasonality of this biome can influence the composition of ET between the wet and dry seasons. The community structure was evaluated using Detrended Correspondence Analysis and Cluster Analysis (Morisita Horn-UPGMA). Environmental factors were analyzed using the Principal Components Analysis. In order to test the effect of abiotic variables on the fauna, It was applied the Procrustean Randomization Test (Protest) and Mantel Test. The environmental factors recorded for this study had a significant effect on the ET fauna from Córrego do Pedregulho. Faunal similarity was high throughout the year, indicating that although there was density of fluctuation, due to rainfall variation, the faunal composition showed little temporal variability. On the other hand, it was possible to observe that the genus Lachlania (Ephemeroptera) occurred preferably during the rainy months and that the faunal composition during the dry season was less variable than those from other seasons. Therefore, environmental seasonality had a partial effect on the faunal composition of ET from Córrego do Pedregulho.

Estudo comparativo de parâmetros limnológicos de duas bacias de drenagem da região centro-sul do Estado do Paraná, sul do Brasil

Two drainage basins located in the mid-southern region of Paraná state were comparatively studied for analysis of limnological characteristics in lotic ecosystems. Ten segments of rivers and streams were evaluated in each basin, from June 4th through to June, 29th , 2007. The following physical and chemical parameters were measured: water temperature, specific conductance, oxygen saturation, pH, turbidity, current velocity and depth. The two drainage basins presented similar nominal values for all parameters investigated. There were significant differences between the two environments in relation to temperature, pH, and oxygen saturation. Cluster analysis revealed five small groups of samplings, each one with particular limnological characteristics. The Principal Components Analysis (PCA) confirmed the difference among the drainage basins. These results suggest an influence of regional and local factors in limnological characteristics of rivers and streams in the studied drainage basins.

Análise de agrupamentos para a classificação de pacientes submetidos à cirurgia bariátrica Fobi-Capella

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

Genetic parameters and investigation of genotype x environment interactions in Nellore x Hereford crossbred for resistance to cattle ticks in different regions of Brazil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Adsorção de cádmio em Latossolos sob vegetação de mata nativa e cultivados

Heavy metals are found naturally in soils at low concentrations, but their content may be increased by human activity, making them one of the barriers in management of tropical soils. These chemical elements can be found in the composition of organic and inorganic fertilizers, insecticides, fungicides, mine tailings, and urban waste, and may cause serious damage to the environment and human health. Thus, adsorption studies are essential in assessing the behavior of heavy metals in the soil. The objective of this study was to evaluate the influence of soil chemical, particle size, and mineralogical properties on adsorption of cadmium (Cd), evaluated by Langmuir and Freundlich models, in Latossolos (Oxisols) with or without human activity. Soil samples were collected from the surface layer, 0.00-0.20 m, and chemical, particle size, and mineralogical analyzes were performed. In the adsorption study, concentrations of 0, 5, 25, 50, 100, 200, 300, and 400 mu g L-1 of Cd were used in the form of Cd(NO3)(2). The empirical mathematical models of Langmuir and Freundlich were used for construction of adsorption isotherms. Data were analyzed by means of multivariate statistical techniques, Cluster Analysis and Principal Component Analysis. The data from the adsorption experiment showed a good fit to the Langmuir and Freundlich models. Soils with a lower goethite/hematite ratio and greater cation exchange capacity and pH, showed higher maximum adsorption capacity of Cd.

Grouping of countries according to indicators of standard of living

The position of 125 countries is studied on the basis of a collection of 26 basic, health, economic and educational indicators. Multivariate statistical methods were used, including Cluster Analysis, Principal Component Analysis and Multivariate Analysis of Variance. The most discriminating variables were life expectancy the child mortality rate, the mortality rate of children of less than five years of age, the birth and fertility rates and the high-school female matriculation rate. The first principal component was interpreted as a measure of the living standard which made it possible to place the countries in order. Five clusters of countries are suggested.

High blood pressure and sedentary behavior in adolescents are associated even after controlling for confounding factors

The aim of this study was to determine whether high blood pressure (HBP) is associated with sedentary behavior in young people even after controlling for potential confounders (gender, age, socioeconomic level, tobacco, alcohol, obesity and physical activity). In this epidemiological study, 1231 adolescents were evaluated. Blood pressure was measured with an oscillometric device and waist circumference with an inextensible tape. Sedentary behavior (watching television, computer use and playing video games) and physical activity were assessed by a questionnaire. We used mean and standard deviation to describe the statistical analysis, and the association between HBP and sedentary behavior was assessed by the chi-squared test. Binary logistic regression was used to observe the magnitude of association and cluster analyses (sedentary behavior and abdominal obesity; sedentary behavior and physical inactivity). HBP was associated with sedentary behaviors [odds ratio (OR) = 2.21, 95% confidence interval (CI) = 1.41-3.96], even after controlling for various confounders (OR = 1.68, CI = 1.03-2.75). In cluster analysis the combination of sedentary behavior and elevated abdominal obesity contributed significantly to an increased likelihood of having HBP (OR = 13.51, CI 7.21-23.97). Sedentary behavior was associated with HBP, and excess fat in the abdominal region contributed to the modulation of this association.

Diversidade genética e constituição química dos óleos essenciais de populações de Lychnophora ericoides mart. e Lychnophora pinaster Mart

Pós-graduação em Agronomia (Horticultura) - FCA

Indicadores cientométricos normalizados: um estudo na produção científica brasileira internacional (1996 a 2011)

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

Phytogeographic retrospective in ecotonal areas guided by soil attributes

Re-establishing deforested ecosystems to pre-settlement vegetation is difficult, especially in ecotonal areas, due to lack of knowledge about the original physiognomy. Our objective was to use a soils database that included chemical and physical parameters to distinguish soil samples of forest from those of savannah sites in a municipality located in the southeastern Brazil region. Discriminant analysis (DA) was used to determine the original biome vegetation (forest or savannah) in ecotone regions that have been converted to pasture and are degraded. First, soils of pristine forest and savannah sites were tested, resulting in a reference database to compare to the degraded soils. Although the data presented, in general had a high level of similarity among the two biomes, some differences occurred that were sufficient for DA to distinguish the sites and classify the soil samples taken from grassy areas into forest or savannah. The soils from pastured areas presented quality worse than the soils of the pristine areas. Through DA analysis we observed that, from seven soil samples collected from grassy areas, five were most likely originally forest biome and two were savannah, ratified by a complementary cluster analysis carried out with the database of these samples. The model here proposed is pioneer. However, the users should keep in mind that using this technology, i.e., establishing a regional-level database of soil features, using soil samples collected both from pristine and degraded areas is critical for success of the project, especially because of the ecological and regional particularities of each biome.

Utilização dos parâmetros físico-químicos e redes neurais artificiais na identificação dos méis de abelhas (Apis mellifera L.) produzidos no verão e inverno na microrregião de Campos de Jordão, São Paulo

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.

Utilização de análise de agrupamento na caracterização do perfil agrícola e climático da região sudeste do Estado de Mato Grosso

The multivariate analysis grouping was used to characterize the productive and climate profile of southeastern of Mato Grosso state. This technique allowed the junction of similar micro regions from characteristics of productivity and climatic, without the need for the assumption of the number or structure of the groups. Cluster analysis allowed the design of a mosaic of spatial heterogeneity regions. It established different profiles in the composition of groups, joining the more traditional in the culture of a species, or more productive, or those for the development of a particular culture. The results obtained by estimation of the climatic parameters and the multivariate procedures enabled the provision of systematic information that will allow farmers to better decision-making on the competitiveness and maintaining the flow of investment in agricultural sector southeastern Mato Grosso.