Results 51 to 60 of about 30,567 (245)

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Quantile-specific heritability of sibling leptin concentrations and its implications for gene-environment interactions

Scientific Reports, 2020
“Quantile-dependent expressivity” occurs when the effect size of a genetic variant depends upon whether the phenotype (e.g., leptin) is high or low relative to its distribution.
Paul T. Williams
doaj   +1 more source

Significance testing in quantile regression [PDF]

, 2012
We consider the problem of testing significance of predictors in multivariate nonparametric quantile regression. A stochastic process is proposed, which is based on a comparison of the responses with a nonparametric quantile regression estimate under the
Birke, Melanie, Dette, Holger, Neumeyer, Natalie, Volgushev, Stanislav   +3 more
core   +2 more sources

Senescent Synovial Intimal Fibroblasts Aggravate Osteoarthritis by Regulating Macrophage Polarization and Chondrocyte Phenotype Through ANGPTL4‐α5β1 Axis

Advanced Science, EarlyView.
Senescent synovial intimal fibroblasts (SIF) are identified as key drivers of osteoarthritis. They promote M1 macrophage polarization and cartilage degeneration via the ANGPTL4–α5β1 axis, regulated by transcription factors EGR1 and ATF3. Pharmacological inhibition of this pathway alleviates disease, revealing SIF senescence as a promising therapeutic ...
Muhai Deng, Yunsheng Jiang, Zhiyu Chen, Kaiquan Chen, Na Cao, Yang Huang, Zhengxue Quan, Cheng Chen   +7 more
wiley   +1 more source

Serum p‐tau217 Is a Prognostic Indicator of Cognitive Impairment in Idiopathic REM Sleep Behavior Disorder

Annals of Neurology, EarlyView.
Objective Assess the performance of serum phosphorylated tau 217 (p‐tau217) and neurofilament light chain (NfL) in predicting risk of cognitive impairment or phenoconversion to dementia in individuals with iRBD. Methods We measured serum p‐tau217 and NfL levels by electrochemiluminescence across 4 polysomnographically confirmed iRBD cohorts (n = 300 ...
Shijun Yan, Anis Sahoo, Tanja Zerenner, Kenneth Marek, Michael Sommerauer, Wolfgang Oertel, Michele T. Hu, George K. Tofaris   +7 more
wiley   +1 more source

Order-Preserving Nonparametric Regression, With Applications to Conditional Distribution and Quantile Function Estimation

Journal of the American Statistical Association, 2003
In some regression problems we observe a “response” Yti to level t of a “treatment” applied to an individual with level Xi of a given characteristic, where it has been established that response is monotone increasing in the level of the treatment. A related problem arises when estimating conditional distributions, where the raw data are typically ...
Hall, Peter, Mueller, Hans-Georg
openaire   +3 more sources

Do Corporate Strategies in Fintech and Green Finance Enhance ESG Performance? The Moderating Role of Government Policies

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite the growing interest in ESG performance, limited research explores the mediating role of government policy in the relationship between Fintech, green finance and ESG outcomes. We address this gap by examining how Fintech and green finance influence ESG performance through government policies.
Mandella Osei‐Assibey Bonsu, Samuel Clottey Attuquaye, Katie Hyslop, Ying Wang, Li Kaodui   +4 more
wiley   +1 more source

Short-term forecasting of solar irradiance using decision tree-based models and non-parametric quantile regression.

PLoS ONE
The renewable energy industry requires accurate forecasts of intermittent solar irradiance (SI) to effectively manage solar power generation and supply.
Amon Masache, Precious Mdlongwa, Daniel Maposa, Caston Sigauke   +3 more
doaj   +1 more source

Smoothed Conditional Scale Function Estimation in AR(1)-ARCH(1) Processes

Journal of Probability and Statistics, 2018
The estimation of the Smoothed Conditional Scale Function for time series was taken out under the conditional heteroscedastic innovations by imitating the kernel smoothing in nonparametric QAR-QARCH scheme.
Lema Logamou Seknewna, Peter Mwita Nyamuhanga, Benjamin Kyalo Muema   +2 more
doaj   +1 more source

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

Chemistry – A European Journal, EarlyView.
ABSTRACT Machine learning (ML) models are increasingly used in quantum chemistry, but their reliability hinges on uncertainty quantification (UQ). In this study, we compare two prominent UQ paradigms—deep evidential regression (DER) and deep ensembles—on the QM9 and WS22 datasets, with a specific emphasis on the role of post hoc calibration.
Bidhan Chandra Garain, Max Pinheiro Jr., Matheus de Oliveira Bispo, Mario Barbatti   +3 more
wiley   +1 more source