350 research outputs found

    Evidence that the radioprotector effect of ascorbic acid depends on the radiation dose rate.

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    En este artículo se da a conocer que los daños ocasionados por el ácido ascórbico dependen de la dosis expuesta.Many studies have revealed that ascorbic acid (Aa) acts as a powerful inhibitor of genetic damage. The objetive of the present study was to evaluate the radioprotector effect of Aa at two diferent radiation dose rates. The somatic mutation and recombination test in Drosophilamelanogaster was used. 48 h larvae were treated for 24 h with 25, 50 and 100 mM of Aa. After pretreatment, larvae were irradiated with 20 Gy of gamma rays administered at 36 or 960 Gy/h. Toxicity, development rate and frequency of mutant spots were recorded. Results provide evidence of a radioprotective effect for all tested concentrations of Aa only when 20 Gy were delivered at 36 Gy/h and only with 25 mM using the 960 Gy/h. To consider the use of Aa as radioprotector or therapeutic agent, it is necessary to know its potential under different situations to avoid unwanted injuries.CONACy

    Modelo bidimensional de transmisión de calor en tableros de puente

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    The thermal effects on bridge decks has been a siibject of iilt,erest during the last two decades, beginning the analysis of heat conduction in the deck and the thermal conditions which deal with it. The numerical handling of the problem had been reduced up to the present time, to one-dimensional models of lieat transmission, which can only represent reasonably slab decks, mainly in llie central area. Altliough, tlie most important effects produced by thermal gradients are located in selections with thin walls and in the borders of the deck. The authors have developed a two-dimensional model of lieat conduction that reproduce the temperature field in a complete section of tlie bridge in a realistic manner

    Successful use of mild therapeutic hypothermia as compassionate treatment for severe refractory hypoxemia in COVID-19

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    Indexación ScopusBackground: COVID-19 is a disease associated with an intense systemic inflammation that could induce severe acute respiratory distress syndrome (ARDS), with life-threatening hypoxia and hypercapnia. We present a case where mild therapeutic hypothermia was associated with improved gas exchange, facing other therapies' unavailability due to the pandemic. Case report: A healthy 38-year-old male admitted for COVID-19 pneumonia developed extreme hypoxia (PaO2/FiO2 ratio 42 mmHg), respiratory acidosis, and hyperthermia, refractory to usual treatment (mechanical ventilation, neuromuscular blockade, and prone position), and advanced therapies were not available. Mild therapeutic hypothermia management (target 33–34 °C) was maintained for five days, with progressive gas exchange improvement, which allowed his recovery over the following weeks. He was discharged home after 68 days without significant ICU associated morbidity. Conclusions: Mild hypothermia is a widely available therapy, that given some specific characteristics of COVID-19, may be explored as adjunctive therapy for life-threatening ARDS, especially during a shortage of other rescue therapies. © 2021 Elsevier Inc.https://www-sciencedirect-com.recursosbiblioteca.unab.cl/science/article/pii/S0883944121000095?via%3Dihu

    BrainStat: A toolbox for brain-wide statistics and multimodal feature associations

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    Analysis and interpretation of neuroimaging datasets has become a multidisciplinary endeavor, relying not only on statistical methods, but increasingly on associations with respect to other brain-derived features such as gene expression, histological data, and functional as well as cognitive architectures. Here, we introduce BrainStat - a toolbox for (i) univariate and multivariate linear models in volumetric and surface-based brain imaging datasets, and (ii) multidomain feature association of results with respect to spatial maps of post-mortem gene expression and histology, task-based fMRI meta-analysis, as well as resting-state fMRI motifs across several common surface templates. The combination of statistics and feature associations into a turnkey toolbox streamlines analytical processes and accelerates cross-modal research. The toolbox is implemented in both Python and MATLAB, two widely used programming languages in the neuroimaging and neuroinformatics communities. BrainStat is openly available and complemented by an expandable documentation

    Evaluation of new multiaxial damage parameters on low carbon steel

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    Most mechanical components are subjected to the complex fatigue loading conditions, where both amplitude and direction of loading cycles change over the time. The estimation of damage caused by these complex loading scenarios are often done by simplified uniaxial fatigue theories, which ultimately leads to higher factor of safety during the final design considerations. Critical plane-based fatigue theories have been considered more accurate for computing the fatigue damage for multiaxial loading conditions in comparison to energy-based and equivalent stress-based theories. Two recently developed fatigue theories have been evaluated in this work for the available test data. Test data includes significant amount of biaxial load paths
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