Análise multicriterial aplicado na definição de áreas prioritárias ao uso agrícola da terra da bacia do Rio Capivara, Botucatu, SP

The use of geographic information systems (GIS), combined with advanced analysis technique, enables the standardization and data integration, which are usually from different sources, allowing you to conduct a joint evaluation of the same, providing more efficiency and reliability in the decision-making process to promote the adequacy of land use. This study aimed to analyze the priority areas of the basin agricultural use of the Capivara River, Botucatu, SP, through multicriterial analysis, aiming at conservation of water resources. The results showed that the Geographic Information System Idrisi Selva combined with advanced analysis technique and the weighted linear combination method proved to be an effective tool in the combination of different criteria, allowing the determination of the adequacy of agricultural land use less subjective way. Environmental criteria were shown to be suitable for the combination and multi-criteria analysis, allowing the preparation of the statement of suitability classes for agricultural use and can be useful for regional planning and decision-making by public bodies and environmental agents because the method takes into account the rational use of land and allowing the conservation of hydrics resources.

Análise Espacial Multivariada Aplicada na Avaliação da Fertilidade do Solo

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

Detecção automática e análise temporal de slope streaks na superfície de Marte

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Comportamento biomecânico de estruturas multicamadas em restaurações protéticas

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

Aplicação de um jogo digital e análise de conceitos da teoria cinética dos gases

Pós-graduação em Educação para a Ciência - FC

Análise da pressão intra-abdominal em pacientes submetidos à cirurgia abdominal oncológica internados em Unidade de Terapia Intensiva

Pós-graduação em Pesquisa e Desenvolvimento (Biotecnologia Médica) - FMB

Como é possível o conhecimento matemático: uma análise a partir da epistemologia genética

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise de integridade física de barragens de terra a partir da integração do método geofísico da eletrorresistividade com ensaios geotécnicos

Pós-graduação em Geociências e Meio Ambiente - IGCE

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

Análise estrutural do conjunto de palhetas de um aerador da estação de tratamento de efluentes

This work aims to find the maximum tension in a group of blades in a Sewage Treatment Stations in a company located in Vale do Paraíba. First, the calculations of the strength requested by the effluents on the structure are done, and the optimum torque of the frame screws is researched. From these data, static simulations using appropriate software and the finite elements method are performed. Based on the results, a possible solution to reduce the strength in this structure is proposed. This study will be provided as a consultation material to the company

Procedimentos de pesquisa em geografia do comércio: uma proposição para o estudo das áreas centrais em cidades médias a partir da análise dos índices de densidade informacional da cidade de São Carlos (SP)

In this work, we address the informational Density Index (IDI) a methodological Option How To be used on the Research Procedures Analysis of Commerce Geography. The IDI and an indicator of Technological Complexity level of economic activities and a review and made a database from CNEFE / NCEA, where the first signifies the National Register of Establishments for statistical purposes and the second means a National Classification Economic Activities. Elaborated with emphasis on discussion of between center and centrality relations, wish to present a constitution of a data base on level sampling with an analysis elaboration do IDI from the criteria: home-page and e - commerce. This methodology helps us understand how polycentric structures, locational enterprise well as a reflection on the middle cities using a through the analysis on city of São Carlos/SP. Where we see the establishments with greater and lesser content as well as its geographical distribution, noting of according to the criteria listed number of establishments with IDI 0 very relevant. Our analysis as well as such divisions that meet greater index, so, IDI 2 like to financial activities. Also present at methodological level the city of São José do Rio Preto/SP paragraph seizure of care when working there in database

Dados espectroscópicos de diterpenos labdânicos: uma análise teórica via RMN e DFT

Labdane diterpenes exhibit important bioactivities such as cardiovascular effects in rats as well as effects in the treatment of autoimmune diseases and Alzheimer syndrome. Recently, the labdane diterpenes ent-13-epi-manoil oxide, ribenone and ribenol were isolated from Croton palanostigma. The computational method DFT/B3LYP/cc-pVDZ was used to optimize the structures of these diterpenes and to calculate infrared data. Chemical shifts (δ_H and δ_C) of the minimum energy structures (local minimum) were calculated and compared with the experimental data. Comparison of the NMR data by simple linear regression (SLR) showed satisfactory statistical results with a correlation coefficient (R²) and predictive ability (Q²) of over 98%. The predicted NMR data were used to confirm the δ_H values that have not been published.

Análise de integridade física de barragens de terra a partir da integração do método geofísico da eletrorresistividade com ensaios geotécnicos

Pós-graduação em Geociências e Meio Ambiente - IGCE

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

Análise estrutural do conjunto de palhetas de um aerador da estação de tratamento de efluentes

This work aims to find the maximum tension in a group of blades in a Sewage Treatment Stations in a company located in Vale do Paraíba. First, the calculations of the strength requested by the effluents on the structure are done, and the optimum torque of the frame screws is researched. From these data, static simulations using appropriate software and the finite elements method are performed. Based on the results, a possible solution to reduce the strength in this structure is proposed. This study will be provided as a consultation material to the company