Results 291 to 300 of about 5,319,795 (358)

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

USP8‐Governed MDA5 Homeostasis Promotes Innate Immunity and Autoimmunity

open access: yesAdvanced Science, EarlyView.
This study reveals that USP8 stabilizes MDA5 via AKT‐mediated phosphorylation (Ser718), enhancing their interaction and MDA5 deubiquitination. USP8 inactivation degrades MDA5, suppressing type I IFN and cytokine production. Pharmacological inhibition of USP8/AKT alleviates MDA5‐driven autoimmunity, demonstrating the USP8‐MDA5 axis as a therapeutic ...
Qimin Zhang   +9 more
wiley   +1 more source

Fatigue Limit Doubling in High‐Strength Martensitic Steel through Crack Embryo Engineering–Cyclic‐Training‐Driven Self‐Optimization

open access: yesAdvanced Science, EarlyView.
This study demonstrates a breakthrough in overcoming the conventional fatigue limit ceiling in high‐strength as‐quenched martensitic steel; maximum stress corresponding to the fatigue limit significantly increased from 675 to 1300 MPa with minimal sacrifice in tensile strength (1.5–1.6 GPa).
Kazuho Okada   +3 more
wiley   +1 more source

Do organisms need an impact factor? Citations of key biological resources including model organisms reveal usage patterns and impact. [PDF]

open access: yesPLoS One
Piekniewska A   +11 more
europepmc   +1 more source

Predictable Self‐Assembly as an Unexplored Key Factor Influencing Membrane Separation: Insights from Monophenols

open access: yesAdvanced Science, EarlyView.
Predictable molecular self‐assembly strength is key to membrane separation, contrary to typical understanding. Monophenol research shows substituent abundance and specificity govern self‐assembly strength. This predictability enables a novel separation method: membranes reject molecules with stronger self‐assembly more effectively, separating similarly
Qiuyu Han   +10 more
wiley   +1 more source

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