921 resultados para random coefficient regression model
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The kinanthropometric characteristics are used by the sports science as selection criteria and detection of talents. Hence, this study aimed at comparing the anthropometrical profile, the body composition, the somatotype and the vertical jumps of the beach volleyball players. This study consists of 79 male beach volleyball players, being forty nine (n=49) Brazilian participants of the National Circuit and thirty (n=30) of 15 countries participating in the XV Pan American Games. In order to analyze the vertical jumps of the Brazilian the participants were allocated into two groups (G1 and G2) in agreement with the national ranking of their teams. The vertical jump protocol developed by Smith and collaborators was used to evaluate the vertical jumps of spike and block. The Heath-Carter anthropometrical technique (1990) was used for calculating the somatotype. The Student s t test with the Bonferroni adjustment was used to calculate the differences among the investigated variables. The multiple regression analysis was used to identify the contributions of the anthropometrical variables in the performance of the vertical jumps and the multivariance analysis was used to calculate the differences among the components of the somatotype. The Brazilian athletes of G1 were better than G2 in the spike jump (p <0.01), block jump (p <0.01) and in the block difference (p <0.01). The prediction model of the spike jump of G2 included the body mass and standing spike reach (adjusted R2 = 0.77), the body mass and the standing block reach were also included in the model of the block jump (adjusted R2 = 0.73). The regression model of G1 was not statistically significant. As for the somatotype, statistically significant differences were found between the Brazilians and the Pan Americans (Wilks' lambda = 0.498; p <0.05). The Brazilian somatotype was classified as balanced mesomorph (2.7-4.3-3.0) and the Pan American somatotype as endomorphic mesomorph (3.5-4.6-2.4). As to the specific position of the block game (2.8-4.3-2.9) and the defense game (2.6-4.4-3.0), the Brazilian somatotype was classified as balanced mesomorph and the Pan American somatotype, the block (3.7-4.4-2.4) and the defense (3.4-4.9-2.3), was classified as endomorphic mesomorph. In conclusion, the vertical jump height (spike and block) influences the male Brazilian beach volleyball players performance. The physical type of the Brazilian blockers and defenders was similar with relationship to the somatotype. The Brazilian and Pan American beach volleyball players differ in terms of kinanthropometric characteristics. This work had a multidisciplinary feature with the participation of several departments and laboratories, like the Physiotherapy Department, the Nutrition Department, the Physical Education Laboratory, thus corroborating the multidisciplinary research feature
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Introduction: Mouth cancer is classified as having one of the ten highest cancer incidences in the world. In Brazil, the incidence and mortality rates of oral cancer are among the highest in the world. Intraoral cancer (tongue, gum, floor of the mouth, and other non-specified parts of the mouth), the accumulated survival rate after five years is less than 50%. Objectives: Estimate the accumulated survival probability after five years and adjust the Cox regression model for mouth and oropharyngeal cancers, according to age range, sex, morphology, and location, for the city of Natal. Describe the mortality and incidence coefficients of oral and oropharyngeal cancer and their tendencies in the city of Natal, between 1980 and 2001 and between 1997 and 2001, respectively. Methods: Survival data of patients registered between 1997 and 2001 was obtained from the Population-based Cancer Record of Natal. Differences between the survival curves were tested using the log-rank test. The Cox proportional risk model was used to estimate risk ratios. The simple linear regression model was used for tendency analyses of the mortality and incidence coefficients. Results: The probability after five years was 22.9%. The patients with undifferentiated malignant neoplasia were 4.7 times more at risk of dying than those with epidermoid carcinoma, whereas the patients with oropharyngeal cancer had 2.0 times more at risk of dying than those with mouth cancer. The mouth cancer mortality and incidence coefficients for Natal were 4.3 and 2.9 per 100 000 inhabitants, respectively. The oropharyngeal cancer mortality and incidence coefficients were, respectively, 1.1 and 0.7 per 100 000 87 inhabitants. Conclusions: A low survival rate after five years was identified. Patients with oropharyngeal cancer had a greater risk of dying, independent of the factors considered in this study. Also independent of other factors, undifferentiated malignant neoplasia posed a greater risk of death. The magnitudes of the incidence coefficients found are not considered elevated, whereas the magnitudes of the mortality coefficients are high
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A field trial was carried out in Brazil in March 2002 with the aim to evaluate the effects of different timing and extension of weedy period on maize productivity. The hybrid Pioneer 30K75 was sowed under 7 t ha(-1) mulching promoted by glyphosate spraying. The treatments were divided in two groups: In the first group, weeds were maintained since the maize sowing until different periods in the crop cycle: 0, 14, 28, 42, 56, 70, and 150 days (harvesting time). In the second group, the maize crop was kept weed free for the same periods of the first group. Weed control was done through hand hoeing. A complete randomized blocks experimental design with five replications was used for plots distribution in the field. Nonlinear regression model was used to study the effects of weedy or weedfree periods on maize productivity. Weed community included 13 families and 31 species. Asteraceae, Poaceae, and Euphorbiaceae were the most abundant families. Results showed that under no tillage condition with 7 t ha-1 mulching at sowing time, the maize crop could cohabit with weed community for 54 days without any yield lost. on the other hand, if the crop was kept weed free for 27 days, the weed interference was not enable to reduce maize production. According to these results one weed control measure between 27 and 54 days after crop emergence could be enough to avoid any reduction in maize productivity.
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Family farming has been considered as the new axis of rural development in the country, the focus of several public policies, especially the National Program for Strengthening Family Agriculture - PRONAF and Food Purchase Program - PAA. PRONAF was created with the aim of providing credit to farmers, while the PAA to support family farmers through the purchase of its production. In this context, the objective of this study is to analyze the correspondence of these two public policies for family farming, in the Territories of Citizenship of the state of Rio Grande do Norte, between the years 2008 to 2010. In the methodology, the analysis was performed by comparing the distributions of the two programs in the territories of citizenship status. There were also statistical tests of differences in proportions, and Spearman correlations, and estimated a logit regression model, in order to measure the probability of a farmer participating in the PAA is associated with one of the modes of PRONAF. The data used were obtained from the National and Supply - CONAB at the Institute of Technical Assistance and Rural Extension - EMATER, and the Ministry of Agrarian Development - MDA. Among the key findings was noted that policies were associated with a direct, but low in the districts of the Territories of Citizenship. And that, in the years 2008 and 2009, only in the territories of Mato Grande, Alto Oeste and Seridó, the actions of PAA and PRONAF had direct and significant correlations. It was found that in most of the territories, policies are performed randomly, ie that both have no correlation to each other. The estimates of the logit model showed that the chance of a family farmer, the PAA participant, receive credits PRONAF A, is higher in the territory of Mato Grande, and would have a chance to fall in PRONAF B in all areas surveyed. Moreover, farmers in the territories of the Assu-Mossoró, Sertão of Apodi, Seridó and Alto Oeste, participating in the PAA would be more likely to receive credits PRONAF C, reflecting thus the family farm more consolidated these territories
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The overall objective of this study is to analyze the efficiency in the use of resources and the quality of public health in the municipalities of Rio Grande do Norte, from 2004 to 2008. It also seeks to identify the determinants of municipal inefficiency and measure the productivity of public spending on health. To this end, three methods of analysis are used: the DEA, the Malmquist index and the Tobit regression model. Among other findings, it appears that municipalities considered more inefficient in the measurement of expenditure on health make the largest expense in this function. On the other hand, from 2004 to 2008, only 13 municipalities showed an increase in the productivity of public spending. It is also noted that municipalities considered efficient in quality of health, although having more physical and human resources, offer fewer health services to the population. In all, the major determinants of health spending inefficiencies are the variables: age of the mayor, coalition, population density, literacy race and budget revenues. Regarding the inefficiency of the health quality, variables such as: coalition, literacy race have strong influence on this behavior. Thereby, the hypotheses proposed by the study have been fully accepted. In other words, for the efficiency of the quality and health spending it is needed more than resources, i.e., the expenditure shows itself as essential, but not enough, for political and economic aspects also interfere with the performance of spent and in the quality of health care offered to the population
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Trasnversal study, with the objective of evaluating the accuracy of clinical indicators of nursing diagnosis excessive fluid volume in patients undergoing hemodialysis. The study occurred in two stages, the first consisted of the evaluation of the diagnostic indicators in study; and the second, the diagnostic inference conducted by nurse diagnosticians. The first stage occurred from december 2012 to april 2013, in a University Hospital and a Hemodialysis Clinic in Northeastern of Brazil, with a sample of 100 chronic renal failure patients on hemodialysis. The data were selected through an interview form and a physical examination, organized into spreadsheets and analyzed as to the presence or absence of the indicators of diagnosis excessive fluid volume. In the second step, the spreadsheets were sent to three nurses diagnosticians, who judged the presence or absence of diagnosis in the clientele searched. This step was conducted from july to september 2013. For analysis of the data, we used descriptive and inferential statistics. In the descriptive analysis, we used measures of central tendency and dispersion. In inferential analysis, we used the tests Chi- square, Fisher and prevalence ratios. The accuracy of the clinical indicators pertaining to the diagnosis were measured as to the specificity, sensitivity, predictive values, likelihood ratios and Diagnostic Odds Ratio. Also developed a logistic regression. The results were organized in tables and discussed with literature. This study was approved by the Ethics Committee in Research of the Federal University of Rio Grande do Norte, with Presentation Certificate for Ethics Appreciation nº 08696212.7.0000.5537. The results revealed that the diagnosis studied was present in 82% of patients. The characteristics with prevalence above 50 % that stood out were: azotemia, decreased hematocrit, electrolyte imbalance, intake exceeds output, anxiety, edema, decreased hemoglobin, oliguria and blood pressure changes. Eight defining characteristics were presented statistically significant association with the nursing diagnosis investigated: pulmonary congestion, intake exceeds output, electrolytes imbalance, jugular vein distension, edema, weight gain over short period of time, agitation and adventitious breath sounds. Among these, the 10 characteristics which showed higher prevalence ratios were: edema and weight gain over short period of time. The features with the highest sensitivity were edema, electrolytes imbalance and intake exceeds output and the standing out with greater specificity were: anasarca, weight gain over short period of time, change in respiratory pattern, adventitious breath sounds, pulmonary congestion, agitation and jugular vein distension. The indicators jugular vein distension, electrolytes imbalance, intake exceeds output, increased central venous pressure and edema, together, were identified in the logistic regression model as the most significant predictors. It is concluded that the identification of accurate clinical indicators allow a good prediction of the nursing diagnosis of excessive fluid volume in patients undergoing hemodialysis in order to assist the nurse in the inference process, which will contribute to the success of patient care. In addition, nurses will consider for diagnostic inference not only his clinical experience, but also scientific evidence of the occurrence of excessive fluid volume, contributing to the control of volemia in these patients
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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This master´s thesis presents a reliability study conducted among onshore oil fields in the Potiguar Basin (RN/CE) of Petrobras company, Brazil. The main study objective was to build a regression model to predict the risk of failures that impede production wells to function properly using the information of explanatory variables related to wells such as the elevation method, the amount of water produced in the well (BSW), the ratio gas-oil (RGO), the depth of the production bomb, the operational unit of the oil field, among others. The study was based on a retrospective sample of 603 oil columns from all that were functioning between 2000 and 2006. Statistical hypothesis tests under a Weibull regression model fitted to the failure data allowed the selection of some significant predictors in the set considered to explain the first failure time in the wells
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Foram estimados parâmetros genéticos para pesos do nascimento aos 570 dias de idade para 35.308 animais da raça Tabapuã, nascidos entre 1975 e 2000, pertencentes à ABCZ (Associação Brasileira de Criadores de Zebu) sob três modelos distintos. O modelo 1 incluiu o efeito genético aditivo direto como aleatório, além dos efeitos fixos de grupo de contemporâneos, definido pelas variáveis: proprietário, rebanho, criador, rebanho do criador, sexo, condição de criação, ano e mês de nascimento, ano e mês da pesagem, e os efeitos linear e quadrático de idade do bezerro e idade da vaca ao parto como covariáveis. O modelo 2 compreendeu, além dos efeitos supracitados, o efeito de ambiente permanente materno. O modelo 3 constou dos efeitos genético aditivo direto e materno e de ambiente permanente materno (aleatórios) e os mesmos incluídos no modelo 1 (fixos). de acordo com o teste de razão de verossimilhança, o modelo 3 foi o mais adequado para ajustar os efeitos estudados. As estimativas de herdabilidade direta foram baixas a moderadas (0,08 a 0,26), decrescendo do nascimento às idades subseqüentes, com picos aos 90 e aos 180 dias de idade. Aos 345 dias de idade, ocorreu novo aumento nas estimativas, com menor oscilação entre as estimativas subseqüentes até 570 dias de idade. As estimativas de herdabilidade materna foram baixas, sendo maiores no período da desmama.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Este experimento foi conduzido para avaliar as exigências de triptofano e o padrão de recuperação do desempenho de poedeiras alimentadas com rações deficientes em triptofano. Foram utilizadas 160 poedeiras comerciais da linhagem Hisex White distribuídas em um delineamento inteiramente casualizado com cinco níveis de triptofano nas dietas (0,13; 0,15; 0,17; 0,19 e 0,21%), com oito repetições de quatro aves. As poedeiras permaneceram por duas semanas em adaptação (51 a 52 semanas), por seis semanas para avaliação da exigência de triptofano (53 a 58 semanas) e por quatro semanas para determinação do padrão de recuperação do desempenho (59 a 62 semanas). A produção e a massa de ovos foram prejudicadas quando as poedeiras foram alimentadas com rações contendo 0,13% de triptofano, no entanto, o desempenho foi recuperado após uma semana de alimentação com ração contendo 0,21% desse aminoácido. A qualidade interna dos ovos não foi influenciada pelos níveis de triptofano estudados (ingestão de 137,1 a 228,0 mg triptofano/dia). As exigências de triptofano foram estabelecidas entre 161 e 188 mg/dia, dependendo da característica avaliada (produção ou massa de ovos) e do modelo de regressão aplicado (polinomial, exponencial ou segmentado).
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Objetivou-se neste trabalho avaliar diferentes períodos de controle e de convivência de uma comunidade de plantas daninhas na cultura da batata 'Atlantic'. O experimento foi realizado no município de Botucatu-SP, e o delineamento experimental utilizado foi de blocos ao acaso com quatro repetições. Os tratamentos constituíram-se de seis períodos de controle, nos quais a cultura foi mantida livre da comunidade de plantas daninhas e após cada período, as plantas daninhas foram deixadas crescer livremente; e de seis períodos de convivência, nos quais a cultura foi mantida na presença da comunidade de plantas daninhas e após cada período, as plantas daninhas foram eliminadas até a colheita. Os períodos foram de 7, 14, 21, 28, 35 e 42 dias após o plantio dos tubérculos, além de uma testemunha mantida sempre livre de plantas daninhas e outra mantida sempre na presença dessas plantas. Foram identificadas 9 famílias e 15 espécies de plantas daninhas, com destaque para Bidens pilosa, Galinsoga parviflora,Brachiaria plantaginea,Commelina benghalensis e Digitaria horizontalis. Os resultados de produção de tubérculos ajustaram-se ao modelo de regressão não-linear: y = 8,907+(17,722/[1+(x/16,865)-8,412]), (R² = 0,963*) - equação para os períodos de controle e y = 5,728+(24,789/[1+(x/39,292)2,247 ]), (R² = 0,947*) - equação para os períodos de convivência. Assim, considerando perda de 5% na produtividade como aceitável, foram determinados o período anterior à interferência (PAI), que foi de 20 dias; o período total de prevenção à interferência (PTPI), de 21 dias; e o período crítico de prevenção da interferência (PCPI), de apenas de um dia, dos 20 aos 21 dias após o plantio dos tubérculos.
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Objetivou-se com este trabalho estimar os períodos de interferência das plantas daninhas na cultura do sorgo granífero BRS 310. O experimento foi realizado no município de Botucatu/SP, em delineamento experimental de blocos ao acaso, com quatro repetições. Os tratamentos constituíram-se de oito períodos de controle, nos quais a cultura foi mantida livre da comunidade de plantas daninhas, e de oito períodos de convivência, nos quais a cultura foi mantida na presença da comunidade infestante. Os períodos foram: 7, 14, 21, 28, 35, 42, 49 e 56 dias após a semeadura (DAS), além de uma testemunha mantida livre da interferência das plantas daninhas e outra mantida na presença destas. Foram identificadas 11 famílias e 17 espécies de plantas daninhas, destacando-se as famílias Asteraceae e Poaceae, com o maior número de espécies. Para determinação dos períodos de interferência, os dados de produtividade de grãos, comprimento da panícula e massa seca da parte aérea das plantas de sorgo obtidos foram ajustados ao modelo de regressão não linear: y = a/[1+(x/b)c]. Considerando como aceitável perda de 5% para a produtividade de grãos, o comprimento da panícula e a massa seca da parte aérea das plantas de sorgo, determinou-se o período anterior à interferência (PAI) de 42, 72 e 15 DAS e o período total de prevenção à interferência (PTPI) de 26, 17 e 12 DAS, respectivamente. Não houve período crítico de prevenção da interferência (PCPI) para os parâmetros avaliados.
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This paper proposes a methodology for automatic extraction of building roof contours from a Digital Elevation Model (DEM), which is generated through the regularization of an available laser point cloud. The methodology is based on two steps. First, in order to detect high objects (buildings, trees etc.), the DEM is segmented through a recursive splitting technique and a Bayesian merging technique. The recursive splitting technique uses the quadtree structure for subdividing the DEM into homogeneous regions. In order to minimize the fragmentation, which is commonly observed in the results of the recursive splitting segmentation, a region merging technique based on the Bayesian framework is applied to the previously segmented data. The high object polygons are extracted by using vectorization and polygonization techniques. Second, the building roof contours are identified among all high objects extracted previously. Taking into account some roof properties and some feature measurements (e. g., area, rectangularity, and angles between principal axes of the roofs), an energy function was developed based on the Markov Random Field (MRF) model. The solution of this function is a polygon set corresponding to building roof contours and is found by using a minimization technique, like the Simulated Annealing (SA) algorithm. Experiments carried out with laser scanning DEM's showed that the methodology works properly, as it delivered roof contours with approximately 90% shape accuracy and no false positive was verified.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)