Heart rate variability in children with type 1 diabetes mellitus

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

Adoção de práticas de Green Supply Chain Management: mecanismos de indução e a importância das empresas focais

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

A systematic review and meta-analysis of cohort studies of echocardiographic findings in OSA children after adenotonsilectomy

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

Caracterização litogeoquímica dos basaltos do município de Monções -SP

The paper deals with the petrographic and geochemical investigation of basalt flows present in a gravel quarry in the town of Monções in northwestern São Paulo State, members of the Serra Geral Formation of the Paraná Basin. Were collected 11 samples from different horizons within a topographic vertical profile with an average of 18 meters in height. The samples were subjected to macroscopic and microscopic petrographic and chemical major, minor and trace. The results indicated that it is tholeiitic basalts with dense fine grained average. Petrographic analyzes show that basalts studied are basically constituted by plagioclase (between 33 and 49%), labradorite and clinopyroxenes (between 29 and 46%) represented by the subordinate pigeonite and augite, having as accessories opaque (between 3 and 15% ), olivine (<2%), apatite and zircon as dashes. The secondary minerals correspond to cloropheite, chlorite, serpentine, epidote, albite and iron oxides and hydroxy as well as bowlingit of clay, nontronite, and celadonite. The basalts are kind of high-titanium (Hti)> 1.8% TiO2, and apparently belong to the Pitanga magma-type. The geochemical analyzes proved unsatisfactory for the determination of a probable lithogeochemistry differentiation within the vertical stroke for generating multiple data correlation or no immediately discernible trends

A construção da intersubjetividade: reflexões identitárias acerca da relação professor-aluno sob o prisma psicanalítico

The present work intends to situate in a psychoanalytical way the relationship between teacher and student in the human sphere. For such a purpose, two data sources will be compared and mixed up, so to say: empirical data collected from school students and teachers; and a theoretical-figurative model concerning questions we focused on, as well. As a result, very important reflexions and statements on the problem are expected to be made, therefore enriching the teaching practice

Preoperative somatostatin analogues versus direct transsphenoidal surgery for newly-diagnosed acromegaly patients: a systematic review and meta-analysis using the GRADE system

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

Avaliação do selante de fibrina como arcabouço para células tronco em fígados cirróticos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Revisão sistemática da efetividade e segurança da contagem de carboidratos no tratamento do diabetes mellitus tipo 1

Pós-graduação em Fisiopatologia em Clínica Médica - FMB

Modelling short-term temporal changes of bare soil CO2 emissions in a tropical agrosystem by using meteorological data

Determining the variability of carbon dioxide emission from soils is an important task as soils are among the largest sources of carbon in biosphere. In this work the temporal variability of bare soil CO2 emissions was measured over a 3-week period. Temporal changes in soil CO2 emission were modelled in terms of the changes that occurred in solar radiation (SR), air temperature (T-air), air humidity (AR), evaporation (EVAP) and atmospheric pressure (ATM) registered during the time period that the experiment was conducted. The multiple regression analysis (backward elimination procedure) includes almost all the meteorological variables and their interactions into the final model (R-2 = 0.98), but solar radiation showed to be the one of the most relevant variables. The present study indicates that meteorological data could be taken into account as the main forces driving the temporal variability of carbon dioxide emission from bare soils, where microbial activity is the sole source of carbon dioxide emitted. (C) 2003 Elsevier B.V. All rights reserved.

Identifying multiple interacting bad data in power system state estimation

This paper presents an intelligent search strategy for the conforming bad data errors identification in the generalized power system state estimation, by using the tabu search meta heuristic. The main objective is to detect critical errors involving both analog and topology errors. These errors are represented by conforming errors, whose nature affects measurements that actually do not present bad data and also the conventional bad data identification strategies based on the normalized residual methods. ©2005 IEEE.

Multiple-trait genomic evaluation for milk yield and milk quality traits using genomic and phenotypic data in buffalo in Brazil

The use of markers distributed all long the genome may increase the accuracy of the predicted additive genetic value of young animals that are candidates to be selected as reproducers. In commercial herds, due to the cost of genotyping, only some animals are genotyped and procedures, divided in two or three steps, are done in order to include these genomic data in genetic evaluation. However, genomic evaluation may be calculated using one unified step that combines phenotypic data, pedigree and genomics. The aim of the study was to compare a multiple-trait model using only pedigree information with another using pedigree and genomic data. In this study, 9,318 lactations from 3061 buffaloes were used, 384 buffaloes were genotyped using a Illumina bovine chip (Illumina Infinium (R) bovineHD BeadChip). Seven traits were analyzed milk yield (MY), fat yield (FY), protein yield (PY), lactose yield (LY), fat percentage (F%), protein percentage (P%) and somatic cell score (SCSt). Two analyses were done: one using phenotypic and pedigree information (matrix A) and in the other using a matrix based in pedigree and genomic information (one step, matrix H). The (co) variance components were estimated using multiple-trait analysis by Bayesian inference method, applying an animal model, through Gibbs sampling. The model included the fixed effects of contemporary groups (herd-year-calving season), number of milking (2 levels), and age of buffalo at calving as (co) variable (quadratic and linear effect). The additive genetic, permanent environmental, and residual effects were included as random effects in the model. The heritability estimates using matrix A were 0.25, 0.22, 0.26, 0.17, 0.37, 0.42 and 0.26 and using matrix H were 0.25, 0.24, 0.26, 0.18, 0.38, 0.46 and 0.26 for MY, FY, PY, LY, % F, % P and SCCt, respectively. The estimates of the additive genetic effect for the traits were similar in both analyses, but the accuracy were bigger using matrix H (superior to 15% for traits studied). The heritability estimates were moderated indicating genetic gain under selection. The use of genomic information in the analyses increases the accuracy. It permits a better estimation of the additive genetic value of the animals.