Results 151 to 160 of about 170,536 (269)

Isogeometric suitable coupling methods for partitioned multiphysics simulation with application to fluid-structure interaction. [PDF]

Eng Comput
Li JY, Verhelst HM, den Besten H, Möller M.   +3 more
europepmc   +1 more source

Permanent Pacemaker Implantation Following Transcatheter Aortic Valve Replacement: Incidence, Predictors, and Association With Reduced Ischemic Stroke Risk

Catheterization and Cardiovascular Interventions, EarlyView.
ABSTRACT Background Development of conduction abnormalities requiring pacing after transcatheter aortic valve replacement (TAVR) is relatively common. The effects of post‐TAVR permanent pacemaker (PPM) implantation on mortality, ischemic stroke, and cardiovascular outcomes remain incompletely characterized.
Omar Saleh, Nicholas J. Valle, Shinjer Li, Saleh Mostafa, Israa Saleh, Raymond Benza, Deepak R. Talreja, Matthew R. Summers   +7 more
wiley   +1 more source

Apolipoprotein L1 High-Risk Genotypes are Associated With Lupus Nephritis Incidence. [PDF]

Kidney Int Rep
Patel S, Rabee H, Ramnarine A, Kular D, Kougiouris E, Russell MD, Al-Agil M, Adas M, Wincup C, Dick J, Norton S, Galloway J, Gordon P, Bramham K.   +13 more
europepmc   +1 more source

Synergistic Effects of Normal‐Range Serum Sodium and Potassium on Mortality: The Modifying Role of Inflammation From a NHANES Cohort Analysis

Chronic Diseases and Translational Medicine, EarlyView.
Nonlinear associations of serum sodium levels with cardiovascular (A) and all‐cause mortality (B)among 32,837 adults. Nonlinear associations of serum potassium levels with cardiovascular (C) and all‐cause mortality (D) among 32,837 adults. ABSTRACT Background This study aimed to investigate the associations of serum sodium and potassium levels within ...
Haofeng Zhang, Fudong He, Zhenger Fang, Guangjun Zheng, Biying Zhou, Xia Chen, Mingliang Liu, Guang Hao   +7 more
wiley   +1 more source

Restricted Tweedie stochastic block models

Canadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley   +1 more source

Flexible statistical approaches for modeling nonlinear relationships in diabetes prediction using splines, Bayesian kernel regression and Bayesian regression trees. [PDF]

Discov Anal
Ranathungage TD, Blumer H, Muthukumarana S.   +2 more
europepmc   +1 more source

Bayesian inverse ensemble forecasting for COVID‐19

Canadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source

Deep Neural Network With a Smooth Monotonic Output Layer for Dynamic Risk Prediction. [PDF]

Stat Med
Zhou Z, Deng Y, Liu L, Jiang H, Peng Y, Yang X, Zhao Y, Ning H, Allen NB, Wilkins JT, Liu K, Lloyd-Jones DM, Zhao L.   +12 more
europepmc   +1 more source

Edge Fluid Turbulence Simulations of Stellarators With GRILLIX

Contributions to Plasma Physics, EarlyView.
ABSTRACT The edge fluid turbulence code GRILLIX has recently been extended from axisymmetric tokamak geometries to support 3D stellarator configurations. Following successful proof‐of‐principle simulations published in Stegmeir et al., we present here a comprehensive simulation of the Wendelstein 7‐AS stellarator.
Andreas Stegmeir, Christoph Pitzal, Barnabas Csillag, Miguel Madeira, Marion Finkbeiner   +4 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source