Results 211 to 220 of about 2,304,207 (332)

Label-setting methods for Multimode Stochastic Shortest Path problems on graphs

, 2007
Alexander Vladimirsky
openalex   +2 more sources

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

DeepMetab: a comprehensive and mechanistically informed graph learning framework for end-to-end drug metabolism prediction. [PDF]

Chem Sci
Zhou Y, Jiang D, Wei X, Yi J, Wang Y, Deng Y, Cao D.   +6 more
europepmc   +1 more source

Substrate Stress Relaxation Regulates Cell‐Mediated Assembly of Extracellular Matrix

Advanced Functional Materials, EarlyView.
Silicone‐based viscoelastic substrates with tunable stress relaxation reveal how matrix mechanics regulates cellular mechanosensing and cell‐mediated matrix remodelling in the stiff regime. High stress relaxation promotes assembly of fibronectin fibril‐like structures, increased nuclear localization of YAP and formation of β1 integrin‐enriched ...
Jonah L. Voigt, Jens Timmer, Elisabetta Ada Cavalcanti‐Adam   +2 more
wiley   +1 more source

Plasma membrane recycling drives reservoir formation during Toxoplasma gondii intracellular replication. [PDF]

PLoS Biol
von Knoerzer-Suckow J, Aden EH, Haase R, Klingl A, Forné I, Gras S.   +5 more
europepmc   +1 more source

On ∑ and ∑′ labelled graphs

, 2008
S. Beena
openalex   +1 more source

Graph labelings and decompositions by partitioning sets of integers [PDF]

, 2010
Jordi Moragas Vilarnau
openalex   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

The reticulocyte restriction: invasion ligand RBP1a of <i>Plasmodium vivax</i> targets human TfR1, prohibitin-2, and basigin. [PDF]

Front Cell Infect Microbiol
Molina-Franky J, Röth D, Ararat-Sarria M, Patarroyo MA, Kalkum M.   +4 more
europepmc   +1 more source

The complexity of the L(p,q)-labeling problem for bipartite planar graphs of small degree

, 2008
Robert Janczewski, Adrian Kosowski, Michał Małafiejski   +2 more
openalex   +1 more source