Results 71 to 80 of about 16,220,352 (310)

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

open access: yesTherapeutic 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

A non-parametric investigation of risk premia [PDF]

open access: yes
This paper investigates features of credit risk using non-parametric techniques, studying determinants of risk premia using a non-parametric term-structure model of the corporate spread. The model, which measures the extra return of defaultable corporate
Peroni, Chiara
core   +2 more sources

The comparison of three risk assessment models based on cadmium exposure level in rice

open access: yesZhongguo shipin weisheng zazhi, 2022
ObjectiveThe advantages and disadvantages of three statistical models commonly used in food contaminant exposure assessment, namely the observed individual means (OIM) model, the beta-abinomial and normal (BBN) model and the non-parametric model were ...
LIU Jialin   +3 more
doaj   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

open access: yesTherapeutic 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

Bayesian Non-Parametric Inference for Multivariate Peaks-over-Threshold Models

open access: yesEntropy
We consider a constructive definition of the multivariate Pareto that factorizes the random vector into a radial component and an independent angular component. The former follows a univariate Pareto distribution, and the latter is defined on the surface
Peter Trubey, Bruno Sansó
doaj   +1 more source

Opinion-Mining on Marglish and Devanagari Comments of YouTube Cookery Channels Using Parametric and Non-Parametric Learning Models

open access: yesBig Data and Cognitive Computing, 2020
YouTube is a boon, and through it people can educate, entertain, and express themselves about various topics. YouTube India currently has millions of active users.
Sonali Rajesh Shah   +3 more
doaj   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Beta-Stacy survival regression models [PDF]

open access: yes, 2007
This paper introduces a class of survival models for discrete time-to-event data with random right censoring. Flexible distributions for the survival times are constructed by modelling the random survival functions as discrete-time beta-Stacy processes (
Muliere, Pietro, Rigat, Fabio
core  

A hierarchical approach to 3D non-parametric surface relief completion [PDF]

open access: yes, 2012
Typical stereo and laser scan based 3D acquisition approaches are essentially limited to 2.5D capture. The resulting 3D completion problem, to derive missing information in 2.5D scenes from limited contextual information, has received increasing ...
Fisher, Robert B.   +5 more
core   +1 more source

Estimating individual tree growth with the k-nearest neighbour and k-Most Similar Neighbour methods

open access: yesSilva Fennica, 2001
The purpose of this study was to examine the use of non-parametric methods in estimating tree level growth models. In non-parametric methods the growth of a tree is predicted as a weighted average of the values of neighbouring observations.
Sironen, Susanna   +3 more
doaj   +1 more source

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