Results 51 to 60 of about 1,934,800 (291)
Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley +1 more source
Component Selection in the Additive Regression Model [PDF]
, 2010 Similar to variable selection in the linear regression model, selecting significant components in the popular additive regression model is of great interest.
Cui, Xia +3 more
core
Power Prediction Method for Ships Using Data Regression Models
Journal of Marine Science and Engineering, 2023 This study proposes machine learning-based prediction models to estimate hull form performance. The developed models can predict the residuary resistance coefficient (CR), wake fraction (wTM), and thrust deduction fraction (t). The multi-layer perceptron and convolutional neural network models, wherein the hull shape was considered as images, were ...
Yoo-Chul Kim +5 more
openaire +2 more sources
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
An online updated linear power flow model based on regression learning
IET Generation, Transmission & DistributionThe linear power flow (LPF) model is widely used in the optimization, operation, and control of distribution networks. These applications require the LPF model to be accurate, fast, and simple in order to simplify calculations as well as to efficiently ...
Molin An, Tianguang Lu, Xueshan Han
doaj +1 more source
Empirical likelihood test in a posteriori change-point nonlinear model
, 2014 In this paper, in order to test whether changes have occurred in a nonlinear parametric regression, we propose a nonparametric method based on the empirical likelihood.
Ciuperca, Gabriela, Salloum, Zahraa
core +3 more sources
Power properties if invariant tests for spatial autocorrelation in linear regression [PDF]
, 2006 This paper derives some exact power properties of tests for spatial autocorrelation in the context of a linear regression model. In particular, we characterize the circumstances in which the power vanishes as the autocorrelation increases, thus extending
Dennis, Mark +3 more
core +3 more sources
Basroparib inhibits YAP‐driven cancers by stabilizing angiomotin
Molecular Oncology, EarlyView.Basroparib, a selective tankyrase inhibitor, suppresses Wnt signaling and attenuates YAP‐driven oncogenic programs by stabilizing angiomotin. It promotes AMOT–YAP complex formation, enforces cytoplasmic YAP sequestration, inhibits YAP/TEAD transcription, and sensitizes YAP‐active cancers, including KRAS‐mutant colorectal cancer, to MEK inhibition.
Young‐Ju Kwon +4 more
wiley +1 more source
Optimal Inference in Regression Models with Nearly Integrated Regressors [PDF]
This paper considers the problem of conducting inference on the regression coeffcient in a bivariate regression model with a highly persistent regressor.
Marcelo J. Moreira, Michael Jansson
core +3 more sources
Taiyuan Ligong Daxue xuebaoPurposes The proportion of photovoltaic(PV) power generation has been increasing in China. PV power generation is greatly affected by meteorological factors and its output power shows strong intermittency and volatility because of the complexity and ...
XIAO Chun +3 more
doaj +1 more source