Correlations among behavior, performance and environment in broiler breeders using multivariate analysis

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

Discrimination of geomorphic surfaces with multivariate analysis of soil attributes in sandstone - basalt lithosequence

O conceito de superfície geomórfica permite uma interligação entre os diferentes ramos da ciência do solo, tais como geologia, geomorfologia e pedologia. Esta associação favorece a compreensão da distribuição espacial dos solos na paisagem, e torna possível compreender o comportamento dos atributos do solo, que estão principalmente relacionadas com a estratigrafia e formas do relevo. Assim, este estudo visa à aplicação da estatística multivariada para categorizar superfícies geomórficas em uma litossequência arenito-basalto, de modo a fornecer uma base para a avaliação do solo em áreas afins. A área de estudo está localizada no município de Pereira Barreto, São Paulo, Brasil. A área escolhida possui 530 hectares, onde foram localizadas e mapeadas três superfícies geomórficas (I, II e III). Na área, 134 amostras foram coletadas nas profundidades de 0,0-0,2 m e 0,8-1,0 m, foram determinados os conteúdos de areia, silte e argila, pH em CaCl2, conteúdo de MO, P, Ca, Mg, K, Al e H+Al. Com base nos resultados, foram realizadas a análise univariada e multivariada de variância, clusters e principal componente, a fim de comparar as três superfícies geomórficas. A análise estatística univariada dos atributos do solo não foi eficiente na identificação das três superfícies geomórficas. Utilizando-se os atributos físicos e químicos do solo, as técnicas estatísticas multivariada permitiram à separação dos três grupos de corpos naturais do solo que foram equivalentes as três superfícies geomórficas mapeadas. Estes resultados são interessantes, pois demonstram a viabilidade da utilização de classificação numérica das superfícies geomórficas para ajudar no mapeamento de solo.

Association between CD31 expression and histopathologic features in stage IB squamous cell carcinoma of the cervix

This study was undertaken to evaluate the association between the expression of CD31 in the tumor and the histopathologic findings in patients with carcinoma of the cervix. This study included prospectively 30 women, aged 46.6 +/- 10.7 years, with stage IB squamous cell carcinoma of the cervix submitted to radical hysterectomy from November 2001 to September 2002. Samples from the tumor were taken and immunohistochemically evaluated by a monoclonal antibody for CD31. Clinicopathologic characteristics such as stage, tumor size, grade of differentiation, lymphatic vascular space invasion (LVSI), parametrial involvement, and status of pelvic lymph nodes were also recorded. The clinical stage (FIGO) was IB1 in 22 patients (73.3%) and IB2 in 8 patients (26.7%). The expression of CD31 was significantly associated with tumor size and the presence of LVSI, but not with grade of differentiation and vaginal or parametrial involvement (P= 0.03, P= 0.032, P= 0.352, P= 0.208, and P= 0.242, respectively). on univariate analysis, the presence of pelvic lymph node metastasis was influenced by LVSI (P= 0.003) and CD31 expression (P= 0.032). However, on multivariate analysis, the presence of LVSI (P= 0.007) was the only independent predictor of pelvic lymph node metastasis. The CD31 expression in tumor is significantly associated with LVSI and tumor size in patients with early-stage squamous cell carcinoma of the cervix.

Association between atherosclerotic aortic plaques and left ventricular hypertrophy in patients with cerebrovascular events

Background and Purpose - the purpose of this research was to evaluate whether an association exists between the presence of atherosclerotic plaque in the thoracic aorta and left ventricular hypertrophy (LVH) in patients with a cerebrovascular event.Methods - We included 116 consecutive patients ( 79 men; mean age, 62 +/- 12.4 years) with previous history of stroke or transient ischemic attack in a cross-sectional study. Transthoracic echocardiogram was performed to diagnose LVH and transesophageal echocardiogram for the detection of atheromas of the thoracic aorta. Continuous variables were analyzed by Student t or Mann-Whitney tests and categorized variables by Goodman test. From the significant association of LVH and age with atheromatous disease of the aorta, an adjustment to the multivariate logistic model was made using high blood pressure history or age as covariates. All of the statistical tests were carried out at a level of 5% significance.Results - Almost half of the patients (43.1%) presented atherosclerotic lesions in the aorta. LVH was present in 90.0% of patients with plaque and in only 30.3% of patients without plaque. Using high blood pressure as a covariate, the risk of patients with LVH presenting atherosclerotic plaque in the aorta was 18.23-fold greater than the risk for patients without LVH (95% CI, 5.68 to 58.54; P < 0.0001). Adding age into the model, the risk increased to 26.36 ( 95% CI, 7.14 to 97.30; P < 0.0001).Conclusions - LVH detected by conventional echocardiogram is associated with high risk of atherosclerotic plaque in the aorta and would be used as a criterion for indication of transesophageal echocardiography in patients with previous stroke or transient ischemic attack LVH.

Increased plasma and salivary cortisol levels in patients with oral cancer and their association with clinical stage

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

Haplotypes in the Interleukin 8 Gene and Their Association with Chronic Periodontitis Susceptibility

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

Association of Haplotypes in the CXCR2 Gene with Periodontitis in a Brazilian Population

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

Lack of Association of a Functional Polymorphism in the Interleukin 8 Gene with Susceptibility to Periodontitis

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

The Association between Skipping Breakfast and Biochemical Variables in Sedentary Obese Children and Adolescents

Objective To investigate the relationship between skipping meals and biochemical variables in obese children and adolescents.Study design The sample was composed of 174 obese children and adolescents, aged between 6 and 16 years (80 male and 94 female). Body composition was assessed by dual-energy x-ray absorptiometry, fasting blood glucose, and lipid profile were measured after 12 hours fasting. The frequency of skipping breakfast, lunch, or dinner was assessed through a face-to-face interview carried out with the parents.Results The prevalence of eating breakfast daily was low in boys (47.5%) and girls (44.7%). A higher frequency of eating breakfast was negatively correlated with glucose (r = -0.16; P = .026), triglycerides (r = -0.19; P = .011), and very low density lipoprotein cholesterol (r = -0.21; P = .005). In the multivariate model, the weekly frequency of eating breakfast remained negatively associated with glucose (beta = -0.975; P = .017), triglycerides (beta = -7.792; P = .017), and very low density lipoprotein cholesterol (beta = -1.870; P = .009) independent of age, sex, trunk fatness, and parents' education.Conclusion Skipping meals, mainly breakfast, is associated with glucose and lipid levels in obese children and adolescents. (J Pediatr 2012;161:871-4).

Multivariate calibrations in gas chromatographic profiles for prediction of several physicochemical parameters of Brazilian commercial gasoline

Several Brazilian commercial gasoline physicochemical parameters, such as relative density, distillation curve (temperatures related to 10%, 50% and 90% of distilled volume, final boiling point and residue), octane numbers (motor and research octane number and anti-knock index), hydrocarbon compositions (olefins, aromatics and saturates) and anhydrous ethanol and benzene content was predicted from chromatographic profiles obtained by flame ionization detection (GC-FID) and using partial least square regression (PLS). GC-FID is a technique intensively used for fuel quality control due to its convenience, speed, accuracy and simplicity and its profiles are much easier to interpret and understand than results produced by other techniques. Another advantage is that it permits association with multivariate methods of analysis, such as PLS. The chromatogram profiles were recorded and used to deploy PLS models for each property. The standard error of prediction (SEP) has been the main parameter considered to select the "best model". Most of GC-FID-PLS results, when compared to those obtained by the Brazilian Government Petroleum, Natural Gas and Biofuels Agency - ANP Regulation 309 specification methods, were very good. In general, all PLS models developed in these work provide unbiased predictions with lows standard error of prediction and percentage average relative error (below 11.5 and 5.0, respectively). (C) 2007 Elsevier B.V. All rights reserved.

Bayesian and multivariate methods applied to favorability quantification in recôncavo Basin and Ribeira Belt, Brazil

A methodology to define favorable areas in petroleum and mineral exploration is applied, which consists in weighting the exploratory variables, in order to characterize their importance as exploration guides. The exploration data are spatially integrated in the selected area to establish the association between variables and deposits, and the relationships among distribution, topology, and indicator pattern of all variables. Two methods of statistical analysis were compared. The first one is the Weights of Evidence Modeling, a conditional probability approach (Agterberg, 1989a), and the second one is the Principal Components Analysis (Pan, 1993). In the conditional method, the favorability estimation is based on the probability of deposit and variable joint occurrence, with the weights being defined as natural logarithms of likelihood ratios. In the multivariate analysis, the cells which contain deposits are selected as control cells and the weights are determined by eigendecomposition, being represented by the coefficients of the eigenvector related to the system's largest eigenvalue. The two techniques of weighting and complementary procedures were tested on two case studies: 1. Recôncavo Basin, Northeast Brazil (for Petroleum) and 2. Itaiacoca Formation of Ribeira Belt, Southeast Brazil (for Pb-Zn Mississippi Valley Type deposits). The applied methodology proved to be easy to use and of great assistance to predict the favorability in large areas, particularly in the initial phase of exploration programs. © 1998 International Association for Mathematical Geology.

Genetic association between milk yield, stayability, and mastitis in Holstein cows under tropical conditions

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)