Results 161 to 170 of about 43,843 (275)

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

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

Bayesian multi-dimensional density estimation with P-splines

, 2006
Polytomous logistic regression combined with spline smoothing gives a powerful tool for Bayesian density estimation. Using fast array algorithms, multiple dimensions can be handled in a fast and uniform way. The Langevin-Hastings algorithm allows efficient sampling from the associated (re-parameterized) posterior distribution.
Lambert, Philippe, Eilers, Paul H.C.
openaire   +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

Donor Time to Death and DCD Liver Transplant Outcomes: Challenging the Dogma That Shorter Is Better. [PDF]

Transplant Direct
Amarnath DR, Tingle SJ, Kourounis G, Malik AK, Roll GR, Freise C, Yamaguchi S, Rickert C, Wilson CH.   +8 more
europepmc   +1 more source

Limits of \(H^{k,p}\)-splines

, 1975
Chui, C. K., Smith, P. W., Ward, J. D.
openaire   +2 more sources

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

The potential effects of hypothetical PM2.5 interventions on childhood autism in different neighborhood socioeconomic contexts. [PDF]

Am J Epidemiol
Yu X, Rahman MM, Lin JC, Chow T, Lurmann FW, Chen JC, Martinez MP, Schwartz J, Eckel SP, Chen Z, McConnell R, Hackman DA, Xiang AH, Garcia E.   +13 more
europepmc   +1 more source

Trends in marine species distribution models: a review of methodological advances and future challenges

Ecography, EarlyView.
Correlative species distribution models (SDMs) are quantitative tools in biogeography and macroecology. Building upon the ecological niche concept, they correlate environmental covariates to species presence to model habitat suitability and predict species distributions.
Moritz Klaassen, Tiago A. Marques, Filipe Alves, Marc Fernandez   +3 more
wiley   +1 more source