Results 71 to 80 of about 25,341,143 (317)

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

A Hybrid Fuzzy DEMATEL–ELECTRE Framework for Evaluating the Impact of Industry 4.0 Technologies on Warehouse Management Strategy Outcomes

Sakarya University Journal of Computer and Information Sciences
Integrating Industry 4.0 (I4.0) technologies into warehouse management critically enhances strategic performance. However, existing studies often overlook the causal relationships between strategic outcomes and the transparency of technology ...
Ahmet Kala, Cem Özkurt, Bilal Emre Yahyaoğlu   +2 more
doaj   +1 more source

Non-destructive Detection of Abnormal Pesticide Residues on Apple Surfaces Based on Explainable Machine Learning and Hyperspectral Imaging Technology [PDF]

Shipin Kexue
This study proposed an innovative framework integrating hyperspectral imaging with interpretable machine learning for precise and non-destructive detection of abnormal tebuconazole residues on apple surfaces.
LI Zihao, LIU Yutong, WANG Shutong, LI Bo
doaj   +1 more source

Coordination using a Single-Writer Multiple-Reader Concurrent Logic Language [PDF]

, 2013
The principle behind concurrent logic programming is a set of processes which co-operate in monotonically constraining a global set of variables to particular values.
Huntbach, Matthew
core  

From Cell‐Free Transcriptomes to Single‐Cell Landscapes: Biomarker Discovery and Originating Cell Alteration Analysis via Graph Matrix Factorization

Advanced Science, EarlyView.
CellFreeGMF traces plasma cfRNA to likely originating cell types by integrating single‐cell atlases with graph‐regularized matrix factorization. The method decomposes cfRNA profiles into sample–cell contributions to reconstruct pseudo single‐cell expression.
Wenxiang Zhang, Wenjing Zhang, Hang Wei, Shiyan Liu, Junliang Shang, Weijie Gong, Hanwen Cheng, Xiujuan Lei, Yuhui Kou, Baoguo Jiang   +9 more
wiley   +1 more source

Explainable artificial intelligence for chemical process informatics: Energy-efficient design of styrene monomer production

Chemical Engineering Journal Advances
Parameter optimization in process design for chemical products is ideally performed at the system-wide level. However, such optimization presents a multivariate, multi-objective problem, requiring an extensive number of simulations. Here we optimized the
Sora Mimura, Taichi Masuda, Souta Miyamoto, Katsuaki Tanabe   +3 more
doaj   +1 more source

Luminescence Dating of Beach Dunes and Fluvial Sediments, Nayarit, Mexico [PDF]

, 2018
The Pacific coast of the state of Nayarit, Mexico, is dominated by extensive sand dune systems and lagoons. 16 samples from three transects through dunes near the town of Santa Cruz were collected to establish ages of the beach dune ridges and establish ...
Castillo, M., Cresswell, A.J., Muñoz-Salinas, E., Sanderson, D.C.W.   +3 more
core  

Reply to the Comments on “GLM7—A Novel Composite Glycolipid Index Derived from Routine Health Indicators for Enhanced Diagnosis and Prediction of Multimorbidity”

Advanced Science, EarlyView.
ABSTRACT This paper is a formal response to the comments raised by Yiquan Wang et al. and Peikai Sun et al. on our published work entitled “GLM7–A Novel Composite Glycolipid Index Derived from Routine Health Indicators for Enhanced Diagnosis and Prediction of Multimorbidity”. We address all the comments in this response.
Zhihua Wang, Suowen Xu
wiley   +1 more source

Comments on “Machine learning and SHAP value interpretation for predicting comorbidity of cardiovascular disease and cancer with dietary antioxidants”

Redox Biology
Cardiovascular disease (CVD) and cancer are leading causes of death worldwide, and the comorbid risk between these conditions has become an important area of public health research.
Yuwen ShangGuan, Zhenhao Lin, Kunpeng Wu, Young-Je Sim, Weibo Xuan   +4 more
doaj   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source