Quantifying mean, variability, and uncertainty in indoor radon exposure in Pennsylvania using random forest and quantile regression forest models. [PDF]
Lee H +5 more
europepmc +1 more source
This study presents an inter‐material transfer learning framework for nanofluid heat transfer prediction in energy systems. By leveraging knowledge from Al2O3‐water data, the model accurately predicts hybrid Al2O3‐TiO2 nanofluid performance with only 20 simulations, achieving R2 = 0.985 and reducing computational requirements by 78. ABSTRACT This paper
Soumaya Hadj Salah +2 more
wiley +1 more source
Determinants of stunting among under-five children in Amhara and Oromia regions, Ethiopia: the linear quantile regression analysis. [PDF]
Wachifo DD, Debeko DD, Asfaw ZG.
europepmc +1 more source
Abstract Background Trigeminal‐mediated headshaking (TMHS) in horses shares clinical features with human trigeminal neuralgia (HTN). Increased levels of the neuropeptide calcitonin gene‐related peptide (CGRP) have been found in the blood and cerebrospinal fluid (CSF) of HTN patients. Inhibition of CGRP in humans has shown promise for pain relief.
Lisa Annabel Weber +7 more
wiley +1 more source
Health-seeking behavior and the related out-of-pocket expenditure for noncommunicable diseases in Erbil, Iraq: a quantile regression analysis. [PDF]
Saka MH, Shabila NP, Shabu SA.
europepmc +1 more source
Abstract Background Bodyweight, age and breed influence the echocardiographic assessment of foals. There are no echocardiographic studies in Standardbred neonatal foals. Objectives To describe echocardiographic values for selected variables, evaluate intra‐ and inter‐observer variability and assess cardiac changes in the first 5 days of life in healthy
Fernanda Timbó D'el Rey Dantas +8 more
wiley +1 more source
Measuring the continuum of maternal, newborn, child,and reproductive health services among postpartum women in Ethiopia: a quantile regression analysis of the composite coverage index. [PDF]
Hagos A +9 more
europepmc +1 more source
Intraday Functional PCA Forecasting of Cryptocurrency Returns
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
New bounded unit Weibull model: Applications with quantile regression. [PDF]
Sapkota LP, Bam N, Kumar V.
europepmc +1 more source

