318 research outputs found

    Uncoupled and coupled approaches to predict macrocrack initiation in fiber reinforced ceramic matrix composites

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    International audienceLocalized fiber pull-out is one of the fracture features of fiber reinforced ceramic matrix composites. The onset of this mechanism is predicted by using Continuum Damage Mechanics, and corresponds to a localization of the deformations. After deriving two damage models from a uni-axial bundle approach, and criteria at localization, different axisymmetric configurations are analyzed through two different approaches to predict macrocrack initiation

    Localization due to damage in fiber-reinforced composites

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    International audienceFiber pull-out is one of the fracture features of fiber-reinforced ceramic matrix composites. The onset of this mechanism is predicted by using Continuum Damage Mechanics, and corresponds to a localization of the deformations. Alter deriving two damage models from a uniaxial bundle approach, different configurations are analysed through analytical and numerical (F.E. calculations) methods. For one model some very simple criteria can be derived, whereas for the second one none of these criteria can be derived and the general criterion of localization has to be used

    Tumour necrosis factor (TNF) and interleukin-1 (IL-1) induce muscle proteolysis through different mechanisms

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    The purpose of this study was to test the hypothesis that muscle proteolysis induced by TNF or IL-1 is mediated by glucocorticoids. Rats were treated with 300 ÎŒg kg−1 of recombinant human preparations of IL-1α (rIL-1α) or TNFα (rTNFα) divided into three equal intraperitoneal doses given over 16 h. Two hours before each cytokine injection, rats were given 5 mg kg−1 of the glucocorticoid receptor blocker mifepristone RU 38486, by gavage or were gavaged with the vehicle. Eighteen hours after the first cytokine injection, total and myofibrillar protein breakdown rates were determined in incubated extensor digitorum longus muscles as release of tyrosine and 3-methylhistidine, respectively. Total and myofibrillar proteolytic rates were increased following injection of rIL-1α or rTNFα. Proteolysis induced by rIL-1α was not altered by treatment with RU 38486. In contrast, the glucocorticoid receptor blocker inhibited the proteolytic effect of rTNFα. The results suggest that the proteolytic effect of TNF is mediated by glucocorticoids and that IL-1 induces muscle proteolysis through a glucocorticoid independent pathway

    Weight velocity in addition to latest weight does not improve the identification of wasting, or the prediction of stunting and mortality: a longitudinal analysis using data from Malawi, South Africa, and Pakistan

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    Background In low/middle-income countries, most nutritional assessments use the latest weights, without reference to growth trajectory. Objective This study explores whether velocity, in addition to the latest weight, improves the prediction of wasting, stunting or mortality in the first two years of life. Methods We analysed a combined data set with weight and height data collected monthly in the first year of 3447 children from Pakistan, Malawi, South Africa, with height and survival recorded till 24 months. The main exposures were weight-for-age z-score (WAZ) at the end of each 2-month period and weight velocity-for-age z-score (WVZ2) across that period. The outcomes were wasting, stunting or all-cause mortality in the next 1-2 months. As a sensitivity analysis, we also used WVZ over 6 months (WVZ6), with matching WAZ. Cox proportional hazard models with repeated growth measures were used to study the association between exposures and mortality. Mixed Poisson models were used for stunting and wasting. Results Children who were already stunted or wasted were most likely to remain so. WVZ2 was associated with a lower risk of subsequent stunting (RR 0.95; 95% CI 0.93-0.96), but added minimal prediction (difference in AUC = 0.004) compared to a model including only WAZ. Similarly, WVZ2 was associated with wasting (RR 0.74; 95% CI 0.72-0.76) but the prediction was only marginally greater than for WAZ (difference in AUC = 0.015). Compared to WAZ, WVZ6 was less predictive for both wasting and stunting. Low WVZ6 (but not WVZ2) was associated with increased mortality (HR 0.75, 95% CI 0.67-0.85), but added marginal only prediction to a model including WAZ alone (difference in C = 0.015). Conclusions The key anthropometric determinant of impending wasting, stunting, and mortality appears to be how far below the normal range the child’s weight is, rather than how they reached that position

    Use of GRADE for assessment of evidence about prognosis: rating confidence in estimates of event rates in broad categories of patients.

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    Summary pointsMain concepts- The Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) approach defines quality of evidence as confidence in effect estimates; this conceptualization can readily be applied to bodies of evidence estimating the risk of future of events (that is, prognosis) in broadly defined populations- In the field of prognosis, a body of observational evidence (including single arms of randomized controlled trials) begins as high quality evidence- The five domains GRADE considers in rating down confidence in estimates of treatment effect—that is, risk of bias, imprecision, inconsistency, indirectness, and publication bias—as well as the GRADE criteria for rating up quality, also apply to estimates of the risk of future of events from a body of prognostic studies- Applying these concepts to systematic reviews of prognostic studies provides a useful approach to determine confidence in estimates of overall prognosis in broad populationsLay summary- The Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach to rating confidence in the results of research studies was initially developed for therapeutic questions- The GRADE approach considers study design (randomized trials versus non-randomized designs), risk of bias, inconsistency, imprecision, indirectness, and publication bias; size and trend in the effect are also considered- Observational studies looking at patients’ prognosis may provide robust estimates of the likelihood of undesirable or desirable outcomes in both treated and untreated patients- Patients will often find this information helpful in understanding the likely course of their disease, in planning their future, and in engaging in shared decision making with their healthcare providers- In a previous article, we examined factors that affect confidence in estimates of baseline risk (the risk of bad outcomes in untreated patients), providing examples of how this might influence the confidence in estimates of absolute treatment effect- This paper provides guidance for the use of the GRADE approach to determine confidence in estimates of future events in systematic reviews of prognostic studies in broad categories of patient
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