Results 161 to 170 of about 36,467 (312)
The Futures of Digital Democracy: Four Scenarios. [PDF]
Fuchs C, Museba J, Friesch K.
europepmc +1 more source
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
AI in bioinspired engineering for sustainable development
Sustainable development is a global priority, vital for ensuring world security. In the oil era, disruptive technologies are crucial for creating efficient and effective solutions to climate change, resource scarcity and environmental degradation.
Hernandez, J. E.
core
How will academic meetings look in a future where we combat climate change? [PDF]
Rinciog T.
europepmc +1 more source
Using Game AI to Control a Simulated Economy
Paul McCarlie, Aaron Hunter 0001
openaire +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Digital trans-pacific silk road and phases of China-Latin American connectivity: From silver to AI
This is an Accepted Manuscript version of the following article, accepted for publication in The Chinese Economy. Fung, K. C., Lin, Yue; Xia, Le. “Digital trans-pacific silk road and phases of China-Latin American connectivity: From silver to AI”.
Fung, K. C., Xia, Le, Lin, Yue
core +1 more source
Editorial: Health services and economic inequalities through the lens of sustainable development. [PDF]
Taghvaee V +3 more
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Data sharing for citizen-driven repair and reuse of electronics and electrical equipment. [PDF]
Ul Hassan U +4 more
europepmc +1 more source

