Results 51 to 60 of about 3,309,859 (289)
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Tellus: Series A, Dynamic Meteorology and Oceanography, 2014 The authors propose to implement conditional non-linear optimal perturbation related to model parameters (CNOP-P) through an ensemble-based approach. The approach was first used in our earlier study and is improved to be suitable for calculating CNOP-P ...
Xudong Yin +3 more
doaj +1 more source
PLoS ONE, 2021 The three-parameter Logistic model (3PLM) and the four-parameter Logistic model (4PLM) have been proposed to reduce biases in cases of response disturbances, including random guessing and carelessness. However, they could also influence the examinees who
Xiaozhu Jian, Dai Buyun, Deng Yuanping
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Frontiers in Climate, 2022 In real applications, one common issue of parameter estimation using ensemble-based data assimilation methods is the accumulation of sampling errors when a large number of observations are used to update single-value parameters.
Zheqi Shen +4 more
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Estimation by Ranking Parameters
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1966 Summary It is shown that a linear ordering of the parameter space is a useful generalization of classical estimates, and that for a certain class of loss functions, Bayes decision procedures lead to very simple linear orderings.
openaire +2 more sources
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source
pngts/Nonlinear-parameter-estimation-in-thermodynamic-models 1.0.0
, 2019 The reliable solution of nonlinear parameter estimation problems is an essential computational and mathematical problem in process systems engineering, both in on-line and off-line applications.
Panagiotis Erodotou
core +1 more source
A systematic method of parameterisation estimation using data assimilation
Tellus: Series A, Dynamic Meteorology and Oceanography, 2016 In numerical weather prediction, parameterisations are used to simulate missing physics in the model. These can be due to a lack of scientific understanding or a lack of computing power available to address all the known physical processes ...
Matthew Lang +2 more
doaj +1 more source
Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
FEBS Letters, EarlyView.Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source
Parameter estimation in quantum sensing based on deep reinforcement learning
npj Quantum Information, 2022 Parameter estimation is a pivotal task, where quantum technologies can enhance precision greatly. We investigate the time-dependent parameter estimation based on deep reinforcement learning, where the noise-free and noisy bounds of parameter estimation ...
Tailong Xiao, Jianping Fan, Guihua Zeng
doaj +1 more source