Results 201 to 210 of about 222,299 (265)

Mixing‐Driven Defects and Composition Evolution in Multi‐Material Metal Additive Manufacturing

open access: yesAdvanced Science, EarlyView.
Operando synchrotron X‐ray imaging coupled with high‐fidelity multiphysics modeling uncovers how inter‐material mixing reshapes keyhole dynamics and drives distinct pore‐formation pathways in multi‐material laser powder bed fusion (LPBF). Composition‐dependent instabilities trigger defects, whereas rescanning suppresses porosity and homogenizes Cu ...
Zhilang Zhang   +5 more
wiley   +1 more source

Herba Lysimachiae Polysaccharide‐Modified Selenium Nanoparticles Alleviate Oxidative Injury in Kidney Stones via TOMM22‐Regulated Mitophagy Activation

open access: yesAdvanced Science, EarlyView.
HLP‐SeNPs, a Lysimachia christinae polysaccharide‐modified selenium nanoparticle, treat kidney stones by downregulating TOMM22 expression, which reduces PINK1 translocation into mitochondria and promotes its retention on the outer mitochondrial membrane.
Junyi Yang   +10 more
wiley   +1 more source

Bayesian uncertainty quantification to identify population level vaccine hesitancy behaviours. [PDF]

open access: yesPLoS One
Warne DJ   +9 more
europepmc   +1 more source

Beyond Percolation: Graphene‐Enabled Network Reinforcement Enhances Thermal Transport in Paraffin Phase‐Change Composites

open access: yesAdvanced Science, EarlyView.
Expanded‐graphite/graphene‐nanoplatelet hybrids deliver a near‐order‐of‐magnitude thermal‐conductivity enhancement in paraffin phase‐change materials. A microCT‐informed 3D modeling framework resolves the percolating EG backbone and captures sub‐voxel GNP enrichment, quantitatively linking microstructure to heat flow and revealing a graphene‐enabled ...
Thomas Hoke   +4 more
wiley   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

open access: yesAdvanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang   +10 more
wiley   +1 more source

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