Results 81 to 90 of about 43,564 (255)

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

MODIFIED FUZZY-ROBUST RIDGE REGRESSION FOR MULTICOLLINEAR, OUTLIER-CONTAMINATED DATA

Science Journal of University of Zakho
Multicollinearity is known to have a significant impact on the stability of linear regression parameter estimation, while the presence of outliers tends to compound this problem. Ridge regression helps to improve the multicollinearity problem, but it is
Vaman M Salih, Shelan S Ismaeel
doaj   +1 more source

Artificial Intelligence‐Based Body Composition Analysis Reveals Sex‐Specific Prognostic Markers and Their Clinical Value in Gastric Cancer: A Multicenter Study

Advanced Science, EarlyView.
This study applied AI to quantify multidimensional body composition from CT images in gastric cancer and healthy controls. Distinct sex‐specific patterns and disease‐related alterations were identified and were associated with survival. Higher muscle and fat measures were linked to improved outcomes.
Tianxiang Li, Tingting Liu, Qian Yang, Zhiqing Zhang, Xiaofang Guo, Xiang Wang, Yihan Zhang, Limin Ge, Yu Su, Wenjun Wu, Weihua Guo, Zheng Wang, Lian Yang, Yanfeng Niu   +13 more
wiley   +1 more source

Adaptive Multivariate Ridge Regression

The Annals of Statistics, 1980
A multivariate version of the Hoerl-Kennard ridge regression rule is introduced. The choice from among a large class of possible generalizations is guided by Bayesian considerations; the result is implicitly in the work of Lindley and Smith although not actually derived there.
Brown, P. J., Zidek, J. V.
openaire   +2 more sources

Construction of Sabatier Volcanoes for CO2 Hydrogenation to C1‐2 Oxygenates Using Data‐Efficient Machine Learning

Advanced Science, EarlyView.
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley   +1 more source

Quality Thresholds for Angiogenesis Under Acoustic Manipulation in Engineered Vascular Tissues

Advanced Science, EarlyView.
Defined biological and physical quality thresholds achieved through acoustic manipulation regulate cellular alignment and spatial organization, promoting self‐assembling vasculature, extracellular matrix deposition, and angiogenic responses, thereby establishing critical acoustic patterning requirements for engineered vascular tissue development in ...
Oscar O'Dwyer Lancaster‐Jones, Russell Quinn, Niloofar Khoshdel Rad, Kilian Paul, Andrea Frank, Daniela F. Duarte Campos   +5 more
wiley   +1 more source

Multi‐regional Organoid Biobank Reveals FAK‐ACSL1‐Driven Doxorubicin‐Resistance and Predictive Biomarkers in Breast Cancer

Advanced Science, EarlyView.
This study established a high‐quality organoid biobank derived from 68 tumor sites across 50 Chinese patients, elucidated the drug sensitivity‐based molecular subtyping in breast cancer, and revealed a novel mechanism of drug resistance mediated by the FAK‐ACSL1 pathway.
Hao Xu, Zhijun Qin, Jiapeng Yang, Baoyuan Zhang, Manqing Cao, Peng Wang, Zaiqi Wang, Jinghui Cheng, Lei Wang, Hong Liu, Hui Yang   +10 more
wiley   +1 more source

Flanking‐Group Engineering Unlocks Emerging Functionalities in Diketopyrrolopyrrole Semiconductors

Advanced Science, EarlyView.
This review presents a comprehensive and unified perspective of flanking‐group engineering in Diketopyrrolopyrrole (DPP) based organic semiconductors that connects molecular‐level design with cross‐device functionalities. By integrating insights from molecular design, solid‐state packing, and device physics, this review seeks to establish general ...
Xiaoyun Wu, Shanshan Zhou, Meng Li, Aung Ko Ko Kyaw, Xiao‐Lei Shi, Qian Liu   +5 more
wiley   +1 more source

Human‐Guided Bayesian Optimization Enables High‐Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium‐Ion Batteries

Advanced Science, EarlyView.
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park, Yeongje Lee, Sunho Jeong, Eungkyu Lee   +3 more
wiley   +1 more source

Sensor-Based Continuous Authentication Using Cost-Effective Kernel Ridge Regression

IEEE Access, 2018
People prefer to store important, private, and sensitive information on smartphones for convenient storage and fast access, such as photos and emails.
Yantao Li, Hailong Hu, Gang Zhou, Shaojiang Deng   +3 more
doaj   +1 more source