Results 151 to 160 of about 28,744 (310)

Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions [PDF]

, 2012
Joseph O. Ogutu, Torben Schulz‐Streeck, Hans‐Peter Piepho   +2 more
openalex   +1 more source

grpnet: Group Elastic Net Regularized GLMs and GAMs [PDF]

, 2023
Nathaniel E. Helwig
openalex   +1 more source

Machine Learning Design of Tungsten Alloys With Strength–Ductility Synergy

Materials Genome Engineering Advances, EarlyView.
This study integrates machine learning with solid solution softening knowledge to design multielement tungsten alloys with strength‐ductility synergy. ML models identify promising compositions within W‐ Ta ‐ Re system that exhibit pronounced chemical short‐range order, resulting in exceptional mechanical performance. Experimental validation through the
Juan Ding, Jiayi Liu, Jiatao Zhou, Baishan Chen, Yunzhu Ma, Wensheng Liu, Yufeng Huang, Chaoping Liang   +7 more
wiley   +1 more source

Structural Optimization of 3D Braided Tungsten–Copper Composites via Active Learning and Finite Element Simulation

Materials Genome Engineering Advances, EarlyView.
An uncertainty‐aware FEM–GPR active learning framework efficiently explores the design space of 3D braided W–Cu composites, identifying architectures with higher yield strength and preserved electrical conductivity, whereas SHAP interpretation highlights yarn spacing in the braid plane as the key structural factor controlling composite performance ...
Lai Zhang, Tianwen Chen, Yongjing Wu, Fuzhu Liu, Yaping Wang, Zhimao Yang, Shengchun Yang   +6 more
wiley   +1 more source

Machine learning-based plasma metabolomics for improved cirrhosis risk stratification

BMC Gastroenterology
Background Cirrhosis is a leading cause of mortality in patients with chronic liver disease (CLD). The rapid development of metabolomic technologies has enabled the capture of metabolic changes related to the progression of cirrhosis.
Jingru Song, Ziwei Gao, Liqun Lai, Jie Zhang, Binbin Liu, Yi Sang, Siqi Chen, Jiachen Qi, Yujun Zhang, Huang Kai, Wei Ye   +10 more
doaj   +1 more source

Single‐Breathhold 3D MR Elastography in the Liver, With Simultaneous R2* and PDFF Mapping

Magnetic Resonance in Medicine, EarlyView.
Purpose To develop a sequence for the rapid acquisition of MR elastography (MRE) parameters in 3D, with simultaneous measurement of proton‐density fat fraction (PDFF) and R2* for multiparametric assessment of liver disease. Methods The proposed sequence uses an interleaved motion‐encoding scheme to acquire 3D volumes of all motion encodings and wave ...
Donovan P Tripp, Anne‐Sophie van Schelt, Omar Darwish, Karl P Kunze, Shamsa Al Harthy, Nader S Metwalli, Ahmed M Gharib, Claudia Prieto, René M Botnar, Ralph Sinkus, Radhouene Neji   +10 more
wiley   +1 more source

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems   +2 more
wiley   +1 more source

Improving the Diagnosis of Breast Cancer Using Regularized Logistic Regression with Adaptive Elastic Net [PDF]

, 2021
Aiedh Mrisi Alharthi, Muhammad Hisyam Lee, Zakariya Yahya Algama   +2 more
openalex   +1 more source

Experimental and Numerical Investigation on the Dynamic Impact Response of Hat‐Shaped Basalt Fiber‐Reinforced Polymer Composite Structures With Improved Interfacial Properties

Polymer Composites, EarlyView.
Graphical abstract illustrating the experimental design and key findings of the study. ABSTRACT Basalt fiber‐reinforced polymer (BFRP) composites are gaining attention as sustainable alternatives to conventional fiber‐reinforced polymers owing to their favorable mechanical properties and environmental advantages.
Abdulrahman Adeiza Musa, Min Gyu Kim, Anand Prakash Jaiswal, Thuan Ho‐Nguyen‐Tan, Jaesang Yu, Soon Ho Yoon, Azikiwe Peter Onwualu, Minkook Kim   +7 more
wiley   +1 more source

Valorization of Poplar Wood Wastes Into 3D‐Printed Soya Oil‐Based Composites by Vat Photopolymerization for Interior Design

Journal of Polymer Science, EarlyView.
Bio‐based polymer composites were 3D printed by LCD vat photopolymerization using acrylate epoxidized soybean oil as the monomer and isobornyl methacrylate as the reactive diluent. Two different poplar powders derived from plywood processing waste were incorporated within the photocurable formulations.
Francesca Sacchi, Tiziano Uriel Monteu Cotto, Giovanna Colucci, Guido Callegari, Paolo Simeone, Daniela Bosia, Federica Bondioli, Massimo Messori   +7 more
wiley   +1 more source