286 research outputs found

    Razumikhin and Krasovskii stability of impulsive stochastic delay systems via uniformly stable function method

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    This paper generalizes Razumikhin-type theorem and Krasovskii stability theorem of impulsive stochastic delay systems. By proposing uniformly stable function (USF) in the form of impulse as a new tool, some properties about USF and some novel pth moment decay theorems are derived. Based on these new theorems, the stability theorems of impulsive stochastic linear delay system are acquired via the Razumikhin method and the Krasovskii method. The obtained results enhance the elasticity of the impulsive gain by comparing the previous results. Finally, numerical examples are given to demonstrate the effectiveness of theoretical results

    Probabilistic Heat Transfer Problems in Thermal Protection Systems

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    Thermal protecti.on system (TPS) is one of the most important subsystems of hypersonic vehicles which are subjected to severe aerodynamic heating. The reliability and structural integrity of TPS are crucial to the structural safety and integrity of hypersonic aircrafts. During the design and service stages of the TPS, there are numerous inevitable uncertainties in aerothermal environment, material properties, manufacture and assembly errors, analysis modeling errors, etc., which have great impact on the reliability assessment of the TPS. In this chapter, the probabilistic heat transfer for TPS is presented to achieve light-weight TPS with high reliability. The uncertainties and their modeling and sampling methods are introduced at first. Then the finite element model and the precise integration method for transient probabilistic heat transfer of TPS are given. Based on the theoretical and numerical methods, the probabilistic design and reliability assessment procedure for TPS are finally formed. A typical multilayer ceramic composite material TPS is used as example to show the effectiveness of the proposed method

    MicroRNA-184 downregulates nuclear receptor corepressor 2 in mouse spermatogenesis

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    <p>Abstract</p> <p>Background</p> <p>There have been increasing attentions on the role of small RNAs, especially microRNAs in post-transcriptional gene regulation during spermatogenesis. MicroRNA-184 (miR-184) has been shown to be mainly expressed in the testis and brain, and that its expression levels are by far the highest in the testis. However, the role of miR-184 in mammalian spermatogenesis remains unclear.</p> <p>Results</p> <p>In this study, we demonstrated that miR-184 levels were increased during mouse postnatal testis development. Specifically, miR-184 expression was restricted to the germ cells from spermatogonia to round spermatids. Overexpression of miR-184 promoted the proliferation of a germ cell line, GC-1spg. Moreover, miR-184 downregulated <it>nuclear receptor corepressor 2 </it>(<it>Ncor2</it>) by targeting its 3' untranslated region through inhibiting NCOR2 protein translation.</p> <p>Conclusions</p> <p>MiR-184 may be involved in the post-transcription regulation of mRNAs such as <it>Ncor2 </it>in mammalian spermatogenesis.</p

    Coordinated Active Power Dispatch for a Microgrid via Distributed Lambda Iteration

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    Improving Frequency Stability Based on Distributed Control of Multiple Load Aggregators

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    The impact of payer status on hospital admissions: evidence from an academic medical center

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    BACKGROUND: There are plenty of studies investigating the disparity of payer status in accessing to care. However, most studies are either disease-specific or cohort-specific. Quantifying the disparity from the level of facility through a large controlled study are rare. This study aims to examine how the payer status affects patient hospitalization from the perspective of a facility. METHODS: We extracted all patients with visiting record in a medical center between 5/1/2009-4/30/2014, and then linked the outpatient and inpatient records three year before target admission time to patients. We conduct a retrospective observational study using a conditional logistic regression methodology. To control the illness of patients with different diseases in training the model, we construct a three-dimension variable with data stratification technology. The model is validated on a dataset distinct from the one used for training. RESULTS: Patients covered by private insurance or uninsured are less likely to be hospitalized than patients insured by government. For uninsured patients, inequity in access to hospitalization is observed. The value of standardized coefficients indicates that government-sponsored insurance has the greatest impact on improving patients' hospitalization. CONCLUSION: Attention is needed on improving the access to care for uninsured patients. Also, basic preventive care services should be enhanced, especially for people insured by government. The findings can serve as a baseline from which to measure the anticipated effect of measures to reduce disparity of payer status in hospitalization.72033003 - National Natural Science Foundation of China; 71720107003 - National Natural Science Foundation of China; DMS-1664644 - National Science Foundation; IIS-1914792 - National Science Foundation; CNS-1645681 - National Science Foundation; R01 GM135930 - NIGMS NIH HHS; N00014-19-1-2571 - Office of Naval Research; R01-GM135930 - NIH HHSPublished versio
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