Results 201 to 210 of about 12,069,454 (281)

PHGDH‐Mediated Serine Metabolism in Nucleus Pulposus Cells Is a Potential Therapeutic Target for Intervertebral Disc Degeneration

open access: yesAdvanced Science, EarlyView.
When nucleus pulposus cells senesce, PHGDH decreases, reducing serine synthesis and glutathione, impairing antioxidant capacity. The intermediate α‐KG also drops, lowering JMJD3 demethylase activity, increasing H3K27me3 at the Rap1b promoter, and reducing Rap1b expression, whose down‐regulation in turn activates mTORC1 and suppresses autophagy ...
Hao‐Wei Xu   +5 more
wiley   +1 more source

Molecular Mechanisms Governing Vascular Function in Heart Failure. [PDF]

open access: yesArterioscler Thromb Vasc Biol
Garrido-Moreno V   +3 more
europepmc   +1 more source

Electrocatalytic Urea Synthesis From CO2 and N2/NO3−: Bridging Catalyst Activity, C–N Coupling Kinetics, and Industrial Applicability

open access: yesAdvanced Science, EarlyView.
This review compares NO3− + CO2 and N2 + CO2 electrocatalytic urea synthesis in feedstock properties, catalyst design, C–N coupling mechanisms, performance optimization, and engineering applicability. The two systems correspond to a near‐term deployable route and a long‐term green synthesis goal, respectively.
Fulin Dong   +5 more
wiley   +1 more source

CKMT1 Counteracts VDAC1 Oligomerization‐Induced Neuronal Pyroptosis Through Steric Hindrance in Ischemic Stroke

open access: yesAdvanced Science, EarlyView.
CKMT1 inhibits VDAC1 oligomerization via a dual‐region mechanism: its NTD interacts with the VDAC1 C‐terminal domain, while residues 1–39 sterically hinder dimerization, thereby reducing mtDNA leakage and AIM2 inflammasome activation, suppressing neuronal pyroptosis and protecting against cerebral ischemic injury. ABSTRACT Ischemic stroke is one of the
Xiaoyu Wang   +17 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

open access: yesAdvanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar   +9 more
wiley   +1 more source

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