1000 resultados para Regressão Linear Múltipla


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The purpose of this study was to investigate the validity of critical force test from maximal lactate steady state (MLSS) during resistance test using straight bench press. Five healthy male volunteers aged (22.6 ± 2.88 years), weight (76.3 ± 11.49 kg) e height (182.6 ± 7.54cm), trained in resistance exercise, and performed four diferent test to determine: one maximal effort (1RM), critical force using the critical power model (force vs 1/time limit - 20, 25 and 30% 1RM). The CF was the linear coefficient and the anaerobic impulse capacity (CIA) was the angular. MLSS was determined using loads of 80, 90, 100 and 110% of critical force. Blood lactate samples were abtained at each 300sec between each stage of total 1200sec. Maximal 30s test (M30) was accomplished with load of 25% of body weight in SBP. The results showed that the 1 RM was 79.4 Kgf (± 16.98), CF 10.1N (± 2.25), CIA 1756.82 N.s (± 546.96) and the R² 0.984 (± 0,02). The MLSS occurs at 100% CF load. The lactate concentration at the MLSS was 2.2 mmol/L (± 0.77). Significant correlation was observed between MLSS and CF on SBP (r = 0.88 p = 0.05). In M30 the minimum, mean and peak power were (25.0 ± 4.9, 28.0 ± 4.9, and 30.0 ± 4.6 kgf.rps, respectively). The fatigue index was 18.0% (± 6,8). The M30 was significantly correlated with Ppeak and Pmean (r = 0.98 for both, p = 0.003). The CF means has been validated to predict the resistance training and the CIA show to be a representative anaerobic parameter in straight bench press.

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In this work was developed a program capable of performing automatic counting of vehicles on roads. The problem of counting vehicles is using expensive techniques for its realization, techniques which often involve manual counting or degradation of the pavement. The main motivation for this work was the importance that the vehicle counting represents to the Traffic Engineer, being essential to analyze the performance of the roads, allowing to measure the need for installation of traffic lights, roundabouts, access ways, among other means capable of ensuring a continuous flow and safe for vehicles. The main objective of this work was to apply a statistical segmentation technique recently developed, based on a nonparametric linear regression model, to solve the segmentation problem of the program counter. The development program was based on the creation of three major modules, one for the segmentation, another for the tracking and another for the recognition. For the development of the segmentation module, it was applied a statistical technique combined with the segmentation by background difference, in order to optimize the process. The tracking module was developed based on the use of Kalman filters and application of simple concepts of analytical geometry. To develop the recognition module, it was used Fourier descriptors and a neural network multilayer perceptron, trained by backpropagation. Besides the development of the modules, it was also developed a control logic capable of performing the interconnection among the modules, mainly based on a data structure called state. The analysis of the results was applied to the program counter and its component modules, and the individual analysis served as a means to establish the par ameter values of techniques used. The find result was positive, since the statistical segmentation technique proved to be very useful and the developed program was able to count the vehicles belonging to the three goal..

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This work presents procedures for getting data to estimate grant flow by means of statistical and hydrological methods, acquired during the graduate course, of some streams in the watersheds of Aguapeí and Peixe rivers, in order to make available this data set to Sao Paulo State water and electrical energy department – DAEE and to the Committees of Aguapeí and Peixe watersheds. This study was performed using discharge data and the were a selection process to identify some faults in the historical series. Finally it was calculated the 7-day moving averages, Q7 and some characteristics discharges like Q90 and Q95. Taking into account the average discharge en seven days in a 10-year recurrence interval, it was estimated the grant flow of some streams. Data were generated for six posts inside the Aguapei and Peixe watersheds

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A monitoring network of atmospheric electric field covering the Vale do Paraiba region was implemented. The sensors were located on different sites with different altitude and geographic topology. The present work reports the study carried on those sensors in order to verify the necessity of using some correction factor to the measured local electric field intensity due to effects of local environment. The measurements were done in continuous 24 hours per day with the data recorded on registers in each device accumulating information during a period of four months. The relation between the electric field values by each sensor was compared to the reference located on Sao Jose dos Campos city using the same period. In a graphical analysis using the local field intensity and the reference, the data were fitted to a straight line obtained by minimum square method. Variation up to 95% was observed between the field values in some sensors. Another method was proposed, comparing the mean values of the electric field in a function of time. The variation in some sensors reached up to 133%. We conclude that the variations are due to local atmospheric conditions and no correction factor is required on the electric field sensors

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The objective of this study was to assess if the positioning of the impression tray could cause plaster casts distortion during gypsum setting time. fifteen pairs of master models were cast with alginate impression material and immediately poured with gypsum. impressions were allowed to set with the tray in the not inverted position (group a) or in the inverted position (group b). the plaster models were digitized using a laser scanner (3shape r-700, 3shape a/s). tooth size measurements and distances were obtained using o3d software (widialabs, brasil) measurement tools. data were analyzed by paired t test and linear regression with 5% significance. most measurements of both groups were similar, except for the lower intermolar distance. it was not possible to corroborate the presence of distortions owing to the position of the impression tray during gypsum setting time.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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To calculate the estimated and actual height and weight measures in cancer patients, evaluate the correlation and concordance of these measures and to identify the malnutrition patients. 62 cancer patients, treated at the Amaral Carvalho Hospital (Jaú- SP). For classifi cation of nutritional status, the Patient-Generated Subjective Global Assessment, the Body Mass Index and the relationship with usual weight were used. For the estimated weight was used the algorithm Chumlea et al.7 and estimated height, the equation proposed by Chumlea et al.8 and Kwok & Whitelaw24. The Pearson Correlation Coeffi cient and the Intraclass Correlation Coeffi cient was calculated and simple linear regression was conducted. To compare the malnutrition detected by different methods, the Cochran’s Q test were performed. There was a strong and signifi cant correlation between the estimated and actual weight (r=0,95; CI95%=0,92-0,97; p<0,001) and excellent concordance (ρ=0,95). For height measurements, a signifi cant correlation was observed between the actual and estimated measurement the method Chumlea et al.8 (r=0,78; CI95%=0,66-0,86; p<0,001) and Kwok & Whitelaw24 (r=0,85; CI95%: 0,75-0,90; p<0,001). Concordance was “Good” (ρ=0,72) and “Moderate” (ρ=0,67) between the actual height and estimated by Chumlea et al.8 and Kwok & Whitelaw,24 respectively. There was a strong correlation between the actual and estimated weight and height measures. The reproducibility of the equation proposed by Chumlea et al.8 to calculate height was better. The nutritional status, the patients classifi ed as malnutrition was greater when using the Patient-Generated Subjective Global Assessment and the relationship with usual weight.

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Objectives: 1) to evaluate the impact of oral health problems on the quality of life of pregnant women by the simplified Oral Health Impact Profile (OHIP-14) questionnaire as well by the presence of dental caries, periodontal disease and denture use/need; 2) to correlate the sociodemographic variables and the oral health conditions revealed in the clinical examinations with the OHIP-14. Method: In addition to the application of the OHIP-14 questionnaire, clinical examination of the oral conditions (CPI - community periodontal index, DMFT and prosthetic evaluation) was performed on 51 pregnant women, who sought dental treatment between April 2008 and August 2010 at the Preventive Dentistry Clinic. Descriptive analyses were made for sample characterization, bivariate analysis (chi-square or Fisher’s exact tests) and multiple logistic regressions at a 5% significance level to assess the correlation between the impact of oral health on the quality of life of pregnant women and the socio-demographic and clinical variables. Results: The OHIP-14 data showed a lesser impact of oral health on the women’s quality of life. The mean DMFT was 12.8; 70.6% of the pregnant women presented dental calculus and 58.8% needed prostheses. The association between OHIP-14 data and last dental visit and DMFT remained in the final regression model (p<0.05). Conclusion: Caries experience of the pregnant women was considered high. Most of them needed prostheses and presented dental calculus. The OHIP-14 presented a low impact on this population and was significantly influenced by the last dental visit and the DMFT index.

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One approach to verify the adequacy of estimation methods of reference evapotranspiration is the comparison with the Penman-Monteith method, recommended by the United Nations of Food and Agriculture Organization - FAO, as the standard method for estimating ET0. This study aimed to compare methods for estimating ET0, Makkink (MK), Hargreaves (HG) and Solar Radiation (RS), with Penman-Monteith (PM). For this purpose, we used daily data of global solar radiation, air temperature, relative humidity and wind speed for the year 2010, obtained through the automatic meteorological station, with latitude 18° 91' 66 S, longitude 48° 25' 05 W and altitude of 869m, at the National Institute of Meteorology situated in the Campus of Federal University of Uberlandia - MG, Brazil. Analysis of results for the period were carried out in daily basis, using regression analysis and considering the linear model y = ax, where the dependent variable was the method of Penman-Monteith and the independent, the estimation of ET0 by evaluated methods. Methodology was used to check the influence of standard deviation of daily ET0 in comparison of methods. The evaluation indicated that methods of Solar Radiation and Penman-Monteith cannot be compared, yet the method of Hargreaves indicates the most efficient adjustment to estimate ETo.

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Pós-graduação em Cirurgia Veterinária - FCAV

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Introduction: the assessment of the activity of rheumatoid arthritis and juvenile idiopathic arthritis is made by means of different tools, respectively DAS-28 and JADAS.Objective: To compare DAS-28 and JADAS with scores of 71, 27 and 10 joint counts in juvenile idiopathic arthritis.Method: A secondary analysis of a phase III placebo-controlled trial, testing safety and efficacy of abatacept was conducted in 8 patients with 178 assessment visits. Joint count scores for active and limited joints, physician's and parents'global assessment by 0-10 cm Visual Analog Scale, and erythrocyte sedimentation rate normalized to 0-10 scale, in all visits. The comparison among the activity indices in different observations was made through Anova or adjusted gamma model. The paired observations between DAS-28 and JADAS 71, 27 and 10, respectively, were analyzed by linear regression.Results: There were significant differences among individual measures, except for ESR, in the first four months of biological treatment, when five of the eight patients reached ACR-Pedi 30, with improvement. The indices of DAS-28, JADAS 71, 27 and 10 also showed significant difference during follow-up. Linear regression adjusted model between DAS-28 and JADAS resulted in mathematical formulas for conversion: [DAS-28 = 0.0709 (JADAS 71) + 1.267] (R-2 = 0.49); [DAS-28 = 0.084 (JADAS 27) + 1.7404] (R-2 = 0.47) and [DAS-28 = 0.1129 (JADAS-10) + 1.5748] (R-2 = 0.50).Conclusion: The conversion of scores of DAS-28 and JADAS 71, 27 and 10 for this mathematical model would allow equivalent application of both in adolescents with arthritis. (C) 2014 Elsevier Editora Ltda. All rights reserved.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Fisiopatologia em Clínica Médica - FMB

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Pós-graduação em Saúde Coletiva - FMB