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Atrial Natriuretic Peptide Inhibits Transforming Growth Factor β–Induced Smad Signaling and Myofibroblast Transformation in Mouse Cardiac Fibroblasts
This study tested the hypothesis that activation of atrial natriuretic peptide (ANP)/cGMP/protein kinase G signaling inhibits transforming growth factor (TGF)-β1–induced extracellular matrixExpand
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Small sample performance of bias-corrected sandwich estimators for cluster-randomized trials with binary outcomes.
The sandwich estimator in generalized estimating equations (GEE) approach underestimates the true variance in small samples and consequently results in inflated type I error rates in hypothesisExpand
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Energy-Efficient Scheduling for Real-Time Systems Based on Deep Q-Learning Model
An energy-efficient scheduling scheme based on deep Q-learning model is proposed for periodic tasks in real-time systems (DQL-EES). Expand
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Hypoxia-responsive growth factors upregulate periostin and osteopontin expression via distinct signaling pathways in rat pulmonary arterial smooth muscle cells.
This study tested the hypothesis that expression of the novel adhesion molecule periostin (PN) and osteopontin (OPN) is increased in lung and in isolated pulmonary arterial smooth muscle cellsExpand
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Comparing denominator degrees of freedom approximations for the generalized linear mixed model in analyzing binary outcome in small sample cluster-randomized trials
  • Peng Li, D. Redden
  • Mathematics, Medicine
  • BMC Medical Research Methodology
  • 23 April 2015
BackgroundSmall number of clusters and large variation of cluster sizes commonly exist in cluster-randomized trials (CRTs) and are often the critical factors affecting the validity and efficiency ofExpand
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Design of Compact Bandpass Filters Using Quarter-Mode and Eighth-Mode SIW Cavities
The contribution of this paper is to propose novel balanced and dual-band bandpass filters (BPFs), using quarter-mode (QM) and eighth-mode (EM) substrate integrated waveguide (SIW) cavities, for theExpand
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Cutaneous neurofibromas in Neurofibromatosis type I: a quantitative natural history study
BackgroundNeurofibromatosis type 1 (NF1) is a genetic disorder characterized by a predisposition to develop multiple benign tumors. A major feature of NF1 is the development of localized cutaneousExpand
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Randomization to Randomization Probability: Estimating Treatment Effects Under Actual Conditions of Use
Abstract Blinded randomized controlled trials (RCT) require participants to be uncertain if they are receiving a treatment or placebo. Although uncertainty is ideal for isolating the treatment effectExpand
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Multiple Imputation: A Flexible Tool for Handling Missing Data.
In this issue of JAMA, Asch et al1 report results of a cluster-randomized clinical trial designed to evaluate the effects of physician financial incentives, patient incentives, or shared physicianExpand
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An Adaptive Dropout Deep Computation Model for Industrial IoT Big Data Learning With Crowdsourcing to Cloud Computing
An adaptive dropout deep computation model (ADDCM) with crowdsourcing to cloud is proposed for industrial IoT big data feature learning. Expand
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