Rapid progress of cirrhosis in hepatitis C: the role of age at the time of viral contamination

OBJECTIVE: The aim of this study was to assess predictive factors for the progression to liver cirrhosis in hepatitis C. METHODS: One hundred thirty six patients (79 men; 57 women; mean age 39 years) with transfusion or intravenous drug use-associated hepatitis C virus (HCV) infection were studied. Sex, cause of infection, duration of contamination, and genotype were studied as predictive factors of progression to liver cirrhosis. RESULTS: One hundred twenty three patients presented with chronic hepatitis without cirrhosis and 13 had cirrhosis. At the time of liver biopsy, rates of cirrhosis were: 0% before 40 years, 10% between 40 and 60 years, and 47% after 60 years. (p < 0.05). Rates of cirrhosis according to the age at the time of contamination were as follows: 3% before 30 years; 16% between 30 and 50 years; 46% after 50 years even though duration of the disease was comparable in the three groups. In multivariate analysis, two independent factors were associated with liver cirrhosis: age at contamination and duration of infection. CONCLUSION: Duration of infection and especially age at contamination seem better correlated with the probability of cirrhosis than the route of transmission or the genotype 1b. The results of this study suggest that progression to cirrhosis is slower in cases of contamination before 30 years of age than later on. Age at the time of contamination is an important predictive factor of progression to cirrhosis.     

Convection mixte en milieu poreuxMixed convection in porous mediaMischkonvektion in porösen medienКoнвeкция б пopиcтoй cpeдe

For conception of nuclear reactors of thermal insulation purposes a theoretical study and a experimental investigation were conducted to determine the flow interaction between free and forced convection in porous media.The equations describing the model are presented and a numerical computer code is developed. The analytical results are in good agreement with the experiments. The exploitation of the code show the governing parameters.     

A multi-sequences MRI deep framework study applied to glioma classfication

Multimedia Tools and Applications - Glioma is one of the most important central nervous system tumors, ranked 15th in the most common cancer for men and women. Magnetic Resonance Imaging (MRI)...     

Multiple-trait random regression models for the estimation of genetic parameters for milk,fat, and protein yield in buffaloes

In this study, genetic parameters for test-day milk, fat, and protein yield were estimated for the first lactation. The data analyzed consisted of 1,433 first lactations of Murrah buffaloes, daughters of 113 sires from 12 herds in the state of São Paulo, Brazil, with calvings from 1985 to 2007. Ten-month classes of lactation days were considered for the test-day yields. The (co)variance components for the 3 traits were estimated using the regression analyses by Bayesian inference applying an animal model by Gibbs sampling. The contemporary groups were defined as herd-year-month of the test day. In the model, the random effects were additive genetic, permanent environment, and residual. The fixed effects were contemporary group and number of milkings (1 or 2), the linear and quadratic effects of the covariable age of the buffalo at calving, as well as the mean lactation curve of the population, which was modeled by orthogonal Legendre polynomials of fourth order. The random effects for the traits studied were modeled by Legendre polynomials of third and fourth order for additive genetic and permanent environment, respectively, the residual variances were modeled considering 4 residual classes. The heritability estimates for the traits were moderate (from 0.21–0.38), with higher estimates in the intermediate lactation phase. The genetic correlation estimates within and among the traits varied from 0.05 to 0.99. The results indicate that the selection for any trait test day will result in an indirect genetic gain for milk, fat, and protein yield in all periods of the lactation curve. The accuracy associated with estimated breeding values obtained using multi-trait random regression was slightly higher (around 8%) compared with single-trait random regression. This difference may be because to the greater amount of information available per animal.     

Acute L-DOPA pretreatment potentiates 6-hydroxydopamine-induced toxic effects on nigro-striatal dopamine neurons in mice

We have studied the effect of various agents on the decreases in striatal levels of dopamine (DA) and its metabolites which were observed 14 days after an intracerebroventricular (i.c.v.) administration of 50 micrograms 6-hydroxydopamine (6-OHDA) to mice. A pretreatment of mice with either a tyrosine hydroxylase inhibitor (alpha-methyl-p-tyrosine), a D2 receptor agonist (bromocriptine) or antagonist (haloperidol), or a vesicular uptake inhibitor (tetrabenazine) did not modify the 6-OHDA-induced decreases in DA and metabolites, indicating that DA synthesis, vesicular storage and neuronal firing rates are not mainly involved in the 6-OHDA-induced toxicity on the DA neurons. Conversely, a pretreatment with L-DOPA + benserazide potentiated the 6-OHDA-induced decreases in striatal levels of DA, homovanillic acid and 3-methoxy-tyramine. This effect was not due to an increased 6-OHDA uptake via the neuronal carrier since a pretreatment with L-DOPA + benserazide, performed 1-1.5 h before sacrifice, decreased the apparent affinity of the uptake, an effect which disappeared when considering the total DA concentration present in incubation medium ([3H]DA and cold released DA). In conclusion, potentiation of the 6-OHDA neurotoxicity by L-DOPA rises again the important problem of the safety of the latter drug in therapeutics.     

Elevated circulating levels of IL-6 in schizophrenia

OBJECTIVE: Aortic valve calcification and stenosis become increasingly common with advancing age. This work aimed at assessing whether a time-dependent reduction of aortic valve area is detectable in an unselected elderly population and whether the rate of reduction can be predicted from clinical or biochemical characteristics. DESIGN: A population-based prospective echocardiographic follow-up study. SETTING: A university hospital. SUBJECTS: In 1990, randomly selected persons born in 1904, 1909 and 1914 (total n = 501) underwent a Doppler echocardiographic study of aortic valve and biochemical tests of glucose, lipid and calcium metabolism. In 1993, echocardiography was repeated in 333 survivors of the original cohorts. These individuals constitute the present study population. MAIN OUTCOME MEASURES: Three-year changes in the aortic valve area and velocity ratio (peak outflow tract velocity/peak aortic jet velocity) determined by Doppler echocardiography. RESULTS: Aortic valve area decreased from a mean of 1.95 cm2 (95% confidence interval of mean, 1.88-2.03 cm2) to 1.78 cm2 (1.71-1.85 cm2) within 3 years (P < 0.001). Concomitantly, the velocity ratio decreased from 0.75 (0.73-0.77) to 0.68 (0.67-0.70) (P < 0.001). The changes in aortic valve area and velocity ratio were unrelated to age, sex, presence of hypertension, coronary artery disease or diabetes, and to all assessed biochemical characteristics. A weak positive statistical association was found between the decrease in aortic valve area and the body mass index at entry (r = 0.16, P < 0.01). CONCLUSIONS: A time-dependent reduction of the aortic valve flow orifice can be demonstrated in persons representing the general elderly population. The deterioration of aortic valve function within a span of 3 years is neither clinically nor biochemically predictable. A longer follow-up may be necessary to identify the risk factors of aortic valve stenosis in old age.     

Analysis of three mathematical models of the Staff Rostering Problem

Staff rostering is a major challenge in the service sector, where exploitation costs are essentially made up of staffing costs. Searching for an optimum has direct economic returns but the rosters must satisfy numerous legal constraints. This paper presents work on an exact approach using branch-and-price methods on a concrete situation. We develop three MILP models and extend them with valid inequalities to two cases. Their computation results on a set of 960 tests covering several scenarios will then be compared and analyzed.     

Arcs-states models for the vehicle routing problem with time windows and related problems

This paper presents several Arcs-States models that can be applied to numerous vehicle routing problems, one of which is the well-known vehicle routing problem with capacities and time windows. In these models, the variables correspond to the states (i.e. the resource quantities) of the vehicles when they travel through an arc. The LP relaxation of the problem provides a lower bound that can be embedded in a branch and bound algorithm that solves the problem exactly. However, for the pseudo-polynomial number of variables and constraints of our models, column and row generations have to be used. Generally, in a branch and bound algorithm, the lower bound needs to be very efficient to minimize the size of the branch and bound trees as far as possible. One of the models we present, the time-only, relies on a relaxation of the Arcs-States model where a resource is removed from the states in the variables. Although the quality of the bounds decreases, the global resolution time is greatly improved, as illustrated on instances of Solomon's benchmark.