Results 191 to 200 of about 717,304 (368)

The Mitochondrial Guardian α‐Amyrin Mitigates Alzheimer's Disease Pathology via Modulation of the DLK‐SARM1‐ULK1 Axis

open access: yesAdvanced Science, EarlyView.
Dietary habits play a key role in chronic diseases, and higher annual consumption of fruit and vegetable may lower risk of dementia. Artificial intelligence predicts the lipid‐like compound α‐Amyrin (αA) from plants with edible peels as a drug candidate against Alzheimer's disease.
Shu‐Qin Cao   +36 more
wiley   +1 more source

Mitochondrial pathway and endoplasmic reticulum stress participate in the photosensitizing effectiveness of AEPDT in MG63 cells [PDF]

open access: gold, 2016
Kai‐Ting Li   +7 more
openalex   +1 more source

Masking AES With d+1 Shares in Hardware

open access: yesWorkshop on Cryptographic Hardware and Embedded Systems, 2016
T. Cnudde   +5 more
semanticscholar   +1 more source

Early Detection of Cell Death Using Transmembrane Water Exchange Magnetic Resonance Imaging

open access: yesAdvanced Science, EarlyView.
Cell death is important in both the development and treatment of cancer. In this study, it is demonstrated for the first time that a specific measurement of the transmembrane water exchange rate using magnetic resonance imaging can be used as an early marker of cell death in mammalian cells, in animals and in human patients. Abstract Cell death plays a
Athanasia Kaika   +22 more
wiley   +1 more source

Apathy in patients with Neuromyelitis Optica Spectrum Disorder. [PDF]

open access: yesPLoS One
He Z   +6 more
europepmc   +1 more source

AML1/ETO induces self-renewal in hematopoietic progenitor cells via the Groucho-related amino-terminal AES protein [PDF]

open access: bronze, 2011
Björn Steffen   +18 more
openalex   +1 more source

A Machine Learning‐Driven Pore‐Scale Network Model Coupling Reaction Kinetics and Interparticle Transport for Catalytic Process Design

open access: yesAdvanced Science, EarlyView.
Designing catalytic processes in porous reactors requires resolving coupled multiscale reaction–transport phenomena. We develop a machine‐learning‐accelerated pore‐scale dual‐network model with kinetics (DNMK), which captures reaction kinetics, pore‐scale transport, and reactor‐level behavior.
Ming‐Liang Qu   +10 more
wiley   +1 more source

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