Results 151 to 160 of about 25,445 (266)

Decoding Structure‐Property Relationships in Anion Exchange Membranes via a Chemically Informed Dual‐Channel Graph Attention Network

open access: yesAdvanced Science, EarlyView.
SPARK decodes structure‐property relationships in anion exchange membranes (AEMs) via a chemically informed dual‐channel graph attention network (DEGAT) that explicitly captures microphase separation. It outputs five‐level grades for hydroxide conductivity and alkaline stability and highlights relevant key structural units, enabling robust pre ...
Wanting Chen   +6 more
wiley   +1 more source

Discussing the epidemiology of COVID-19 model with the effective numerical scheme. [PDF]

open access: yesSci Rep
Aljohani A   +4 more
europepmc   +1 more source

SETD1A Regulates Glycolysis and Senescence of Nucleus Pulposus Cells via H3K4me3–HELZ2/PPARα‐HIF1α Axis to Drive Intervertebral Disc Degeneration

open access: yesAdvanced Science, EarlyView.
SETD1A is a key epigenetic regulator in NPCs during IDD. In normal NPCs, it sustains H3K4me3–HELZ2/PPARα–HIF1α signaling to maintain glycolytic energy metabolism and proliferation. In degenerated NPCs, reduced SETD1A disrupts this axis, impairing glycolysis and accelerating senescence, highlighting a promising therapeutic target for IDD.
Jiawei Fu   +11 more
wiley   +1 more source

Weak wall boundary conditions for compressible flows. [PDF]

open access: yesEng Comput
Jaiswal M   +4 more
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

open access: yesAdvanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang   +2 more
wiley   +1 more source

SpaMode: A Broadly Applicable Framework for Deciphering Spatial Multi‐Omics Using Multimodal Mixture of Disentangled Experts

open access: yesAdvanced Science, EarlyView.
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy