Avaliação de ensaios preliminares de linhagens de soja de 2. ano.

bitstream/item/133863/1/ID10310-1984-1985sojaresultados-p29-42.pdfTrabalho apresentado na XIII Reunião de Pesquisa de Soja da Região Sul, Porto Alegre, 1984

Monitoring the quality of sliced pork ham packed in different modified atmospheres during 45 days of storage

This study, financed by EXTRASLICED45 project, promoted by Primor Charcutaria-Prima S.A. and focused on extra-sliced pork ham, aims to use different modified atmosphere packaging (MAP) as a preservation technique for extending the lifetime of the product

Obstetric care models in the Southern Region of Brazil and associated factors

The study sought to identify obstetric care models for low-risk pregnancies in the Southern Region of Brazil and to estimate factors associated with these models and maternal and neonatal outcomes. This is a cross-sectional, hospital-based study using data from the Birth in Brazil survey regarding puerperae and newborns. We identified 2,668 low-risk pregnant women. We carried out an exploratory analysis using the proportion of practices per hospital, among them inducing labor, presence of a companion, cesarean section and skin-to-skin contact, in order to obtain the care models we called Best Practice, Interventionist I and Interventionist II. We then carried out an inferential analysis of the associated characteristics. Results show that access to public or private funding, cultural factors and actions taken by health professional are associated with the care models. Public care had different contexts, one based on public policies and evidence-based practices; and another, that suggests the intentionality of vaginal delivery without considering humanization principles. Private care, on the other hand, is standardized and centered on the medical professional, with higher intervention levels. We conclude there is a predominance of interventionist obstetric care models in the Southern Region of Brazil, a type of care that goes against the best evidence, and that women who receive care in public hospitals have greater chances of benefiting from good practices

Prevalence of spontaneous, induced labour or planned caesarean section and factors associated with caesarean scetion and factors associated with caesarian section in low-risk women in southern Brazil

Objective This study aimed to examine the prevalence of spontaneous labour, induced labour and planned caesarean section in low-risk women; to identify the contribution of each group to the overall caesarean section rate; and to estimate factors associated with caesarean section in low-risk women according to spontaneous labour, induced labour and planned caesarean section. Design Cross-sectional hospital-based study of postpartum women and newborns, using data from the survey Birth in Brazil, Southern region. In the sample of 2,668 low-risk women, a descriptive analysis was undertaken and a Multinomial Logistic Regression model was applied to verify associations among caesarean section and spontaneous labour, induced labour and planned caesarean section in comparison with vaginal birth. Measurements and Findings The results showed the prevalence of spontaneous labour (48.0%), induced labour (14.0%) and planned caesarean sections (38.0%); these frequencies contributed to an overall caesarean section rate of 50.5%. Obstetric characteristics like previous vaginal birth or previous caesarean section were differentially associated with caesarean section, independently of the labour. Caesarean section without labour was significantly associated with age ≥ 35 years (ORadj 5.45 95%CI 3.16-9.39), economic class A and B (ORadj 3.10 95%CI 1.92-4.99), pregnancy between 37 and 38 weeks (ORadj 1.65 95%CI 1.22-2.24), same obstetrician in prenatal and childbirth (ORadj 13.83 95%CI 8.85-21.61) and private payment source at birth (ORadj 11.50 95%CI 6.64-19.93). Key conclusion For low-risk women in Southern Brazil, the results identify high planned caesarean section rates, not associated with socioeconomic, obstetric, institutional or prenatal factors that justify these rates

Impaired Mitochondrial Function and Insulin Resistance of Skeletal Muscle in Mitochondrial Diabetes

OBJECTIVE - Impaired muscular mitochondrial function is related to common insulin resistance in type 2 diabetes. Mitochondrial diseases frequently lead to diabetes, which is mostly attributed to defective beta-cell mitochondria and secretion. RESEARCH DESIGN AND METHODS - We assessed muscular mitochondrial function and lipid deposition in liver (hepatocellular lipids [HCLs]) and muscle (intramyocellular lipids [IMCLs]) using P-31/H-1 magnetic resonance spectroscopy and insulin sensitivity and endogenous glucose production (EGP) using hyperinsulinemic-euglycemic clamps combined with isotopic tracer dilution in one female patient suffering from MELAS(myopathy,encephalopathy, lactic acidosis, and stroke-like episodes) syndrome and in six control subjects. RESULTS - The MELAS patient showed impaired insulin sensitivity (4.3 vs. 8.6 +/- 0.5 mg . kg(-1) . min(-1)) and suppression of EGP (69 vs. 94 +/- 1%), and her baseline and insulin-stimulated ATP synthesis were reduced (7.3 and 8.9 vs. 10.6 +/- 1.0 and 12.8 +/- 1.3 mu mol . l(-1) . min(-1)) compared with those of the control subjects. HCLs and IMCLs were comparable between the MELAS patient and control subjects. CONCLUSIONS - Impairment of muscle mitochondrial fitness promotes insulin resistance and could thereby contribute to the development of diabetes in some patients with the MELAS syndrome

Metodologia para seleção inicial e rápida de porta-enxertos resistentes à doenças de tronco da videira.

As doenças causadas por fungos têm grande importância na viticultura brasileira, sendo que nos últimos anos tem ocorrido cada vez com maior frequência e importância um complexo conhecido como declínio ou morte de videiras (DTV?s)

Decision Tree Classifiers for Star/Galaxy Separation

We study the star/galaxy classification efficiency of 13 different decision tree algorithms applied to photometric objects in the Sloan Digital Sky Survey Data Release Seven (SDSS DR7). Each algorithm is defined by a set of parameters which, when varied, produce different final classification trees. We extensively explore the parameter space of each algorithm, using the set of $884,126$ SDSS objects with spectroscopic data as the training set. The efficiency of star-galaxy separation is measured using the completeness function. We find that the Functional Tree algorithm (FT) yields the best results as measured by the mean completeness in two magnitude intervals: $14\le r\le21$ ($85.2$) and $r\ge19$ ($82.1$). We compare the performance of the tree generated with the optimal FT configuration to the classifications provided by the SDSS parametric classifier, 2DPHOT and Ball et al. (2006). We find that our FT classifier is comparable or better in completeness over the full magnitude range $15\le r\le21$, with much lower contamination than all but the Ball et al. classifier. At the faintest magnitudes ($r>19$), our classifier is the only one able to maintain high completeness ($>$80%) while still achieving low contamination ($\sim2.5$). Finally, we apply our FT classifier to separate stars from galaxies in the full set of $69,545,326$ SDSS photometric objects in the magnitude range $14\le r\le21$.Comment: Submitted to A