Results 141 to 150 of about 256,201 (209)
ABSTRACT Self‐healing materials represent a paradigm shift in designing functional biomedical devices for drug delivery, tissue regeneration, and 3D bioprinting. However, their clinical translation remains limited by challenges such as insufficient mechanical strength, potential cytotoxicity from chemical modifications, and complex activation ...
Ganjun Feng +15 more
wiley +1 more source
The Polytope Formalism: application to molecular constitution and the prospect of a complete description of Chemical Space. [PDF]
Canfield PJ, Crossley MJ.
europepmc +1 more source
Beyond the Edge: Basal‐Plane Defects as the Dominant Catalytic Sites in Sulfur‐Doped Graphene
Identification of basal‐plane sites in sulfur‐doped graphene challenges the conventional edge‐focused catalytic picture. Sulfur dopants together with inevitable oxygen‐containing groups modulate local charge and spin distributions, enhancing lithium binding and activating ORR/NRR intermediates.
Xuanhao Yuan +5 more
wiley +1 more source
Stability and Inference of the Euler Characteristic Transform. [PDF]
Marsh L, Beers D.
europepmc +1 more source
Inherently Disordered Auxetic Metamaterials
Inherently disordered auxetic metamaterials based on random chiral Delaunay triangulations are designed and investigated using numerical simulations and experimental tests. These disordered frameworks exhibit orthotropic behavior and a large negative Poisson's ratio (ca.
Matteo Montanari +3 more
wiley +1 more source
Experimental study of multiple-shot unitary channels discrimination using the IBM Q computers. [PDF]
Bílek A +4 more
europepmc +1 more source
This study identifies FXYD1 as an epigenetically silenced tumor suppressor in breast cancer. DNA methylation turns off the gene FXYD1 in breast cancer, and low levels predict worse outcomes. Restoring FXYD1 limits breast cancer cells proliferation and metastasis. In the nucleus, FXYD1 recruits the E3 ligase MAEA to K63‐ubiquitinate DDX5 for proteasomal
Ping Wen +11 more
wiley +1 more source
Physics-informed deep learning enables fast ultrahigh-resolution nuclear magnetic resonance spectroscopy. [PDF]
Bao J, Ni Y, Hu L, Zhan H.
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source

