Results 111 to 120 of about 3,033,035 (332)

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

open access: yesAdvanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken   +6 more
wiley   +1 more source

Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics [PDF]

open access: green, 2020
Donald Martin   +4 more
openalex   +1 more source

Bio‐Orthogonally Crosslinked Supramolecular Polymer Bottlebrush Hydrogels for Long‐Term 3D Cell Culture

open access: yesAdvanced Functional Materials, EarlyView.
Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi   +5 more
wiley   +1 more source

Development and validation of a machine learning-augmented algorithm for diabetes screening in community and primary care settings: A population-based study [PDF]

open access: gold, 2022
XiaoHuan Liu   +14 more
openalex   +1 more source

Supervised Transfer Learning for Product Information Question Answering

open access: yes, 2019
Popular e-commerce websites such as Amazon offer community question answering systems for users to pose product related questions and experienced customers may provide answers voluntarily.
Bui, Trung   +3 more
core   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

open access: yesAdvanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy   +3 more
wiley   +1 more source

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

open access: yesAdvanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

Community-based learning in medical education: A starting guide and lessons learned

open access: yesMedical Teacher
Community-based medical education (CBME) addresses real-world health problems and is characterized by its emphasis on reciprocity and collaboration with community stakeholders. Limited evidence shows that CBME is an effective learning strategy to care for underserved communities.
Katja Lanting   +8 more
openaire   +7 more sources

Towards collaborative learning via shared artefacts over the Grid [PDF]

open access: yes, 2002
The Web is the most pervasive collaborative technology in widespread use today; and its use to support eLearning has been highly successful. There are many web-based Virtual Learning Environments such as WebCT, FirstClass, and BlackBoard as well as ...
Boldyreff, Cornelia   +4 more
core   +1 more source

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

open access: yesAdvanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam   +2 more
wiley   +1 more source

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