Results 231 to 240 of about 11,307,335 (373)
Determinants of willingness to use medical visit companion services among older adults in China: A Shapley value approach [PDF]
Jiabin Xu +7 more
openalex +1 more source
Strategic Change, EarlyView.ABSTRACT This article presents a decade of research on Open Data Business Models (ODBM), aiming to identify conceptual gaps, categorize thematic trends, and propose an integrative framework. This paper, based on a systematic literature review (SLR) of 60 peer‐reviewed studies, develops a coherent framework that explains how ODBMs are formed, adapted ...
Saeed Rouhani +3 more
wiley +1 more source
The Complexity of the Shapley Value for Regular Path Queries
, 2023 Vince Bárány +4 more
openalex +2 more sources
Data‐Driven Design and Discovery of Metal–Organic Framework/Polymer Mixed Matrix Membranes
Macromolecular Materials and Engineering, EarlyView.Integration of machine learning (ML) to current experimental and computational studies will be central to unlocking the potential of metal–organic framework (MOF)/polymer mixed matrix membranes (MMMs) by guiding materials selection, predicting membrane performance, and even synthesis conditions.
Seda Keskin
wiley +1 more source
Sharing the costs and benefits of climate change mitigation via Shapley value
, 2019 Muhammad Luqman +3 more
openalex +2 more sources
Macromolecular Rapid Communications, EarlyView.When seeking nanoparticles with elevated drug loading content, the experimental setup, including solvent selection, is crucial. Through machine learning, we pinpointed that the drug's solubility in the organic solvent is the key factor for attaining high drug loading content.
Wei Ge +4 more
wiley +1 more source
Fair Investments Strategies in Large Energy Communities: A Scalable Shapley Value Approach
, 2023 Raquel Alonso Pedrero +2 more
openalex +1 more source
Uncovering Key Characteristics of Antibacterial Peptides through Machine Learning
Macromolecular Rapid Communications, EarlyView.Machine‐learning (ML) techniques using random forest classification models revealed key characteristics that predict effective antimicrobial peptides (AMPs) targeting Gram‐negative bacteria, Gram‐positive bacteria, and mycobacteria. The ideal cLogP (<$ < $−6) and net‐charge (≤+4) threshold was the same for all three targets with variations in the ...
Jooyoung Roh +2 more
wiley +1 more source
Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
Macromolecular Rapid Communications, EarlyView.The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley +1 more source
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
Med Research, EarlyView.The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source