Results 151 to 160 of about 283,214 (276)

Near Room‐Temperature Ferromagnetic Phase Achieved in 4d Ruthenate via Interfacial Ferrimagnetic Coupling and Octahedral Rotation Engineering

open access: yesAdvanced Science, EarlyView.
Transition metal oxides combining strong spin‐orbit coupling, near‐room‐temperature ferromagnetism, and high conductivity are rare. A Ca0.5Sr0.5RuO3 interfacial phase between LaMnO3 layers has all these features, high Tc, enhanced magnetization, and reduced coercivity.
Mengqin Wang   +10 more
wiley   +1 more source

Drug Resistance Predictions Based on a Directed Flag Transformer

open access: yesAdvanced Science, EarlyView.
 CAPTURE, a deep learning framework combining structural and sequence data to predict drug‐resistant Mpro mutations, revealing that PAXLOVID use may be accelerating resistance—supporting real‐time viral surveillance and therapeutic design. Abstract The evolving SARS‐CoV‐2 virus threatens global public health, particularly with potential resistance to ...
Dong Chen   +8 more
wiley   +1 more source

Rotatum of light. [PDF]

open access: yesSci Adv
Dorrah AH, Palmieri A, Li L, Capasso F.
europepmc   +1 more source

Deciphering Cell Type Abundance in Proteomics Data Through Graph Neural Networks

open access: yesAdvanced Science, EarlyView.
GraphDEC constructs pseudo bulk reference data using a mixup strategy, then learns low dimensional representations via autoencoders to model intra and inter dataset relationships. These are processed through a multi view adaptive neighborhood aware GNN, integrating reference, target, and joint graphs.
Zhiming Dai   +7 more
wiley   +1 more source

Personalized Medication for Chronic Diseases Using Multimodal Data‐Driven Chain‐of‐Decisions

open access: yesAdvanced Science, EarlyView.
A MDD‐CoD is proposed for personalized chronic disease medication. The framework simulates clinical chain‐of‐decisions through three linked deep learning tasks, validated on multi‐center datasets (3 hospitals, 4 diseases), demonstrating enhanced generalization and interpretability in cross‐disease applications.
Xiaoli Chu   +10 more
wiley   +1 more source

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