Results 331 to 340 of about 4,287,195 (436)

Lecithin Alleviates Memory Deficits and Muscle Attenuation in Chinese Older Adults and SAMP8 Mice

open access: yesAdvanced Science, EarlyView.
This study opens a new avenue for safeguarding cognition and muscle health, averting disability in older age, and treating age‐related pathologies through lecithin supplementation. It serves as a promising nonpharmacological intervention for the crosstalk of muscle and cognition.
Xianyun Wang   +16 more
wiley   +1 more source

The CRL7FBXW8 Complex Controls the Mammary Stem Cell Compartment through Regulation of NUMB Levels

open access: yesAdvanced Science, EarlyView.
In breast cancer (BC), NUMB loss of function (LOF) is common and mainly driven by protein hyper‐degradation. The CRL7FBXW8 complex is the E3 ligase responsible for NUMB degradation. Inhibition of CRL7FBXW8 in NUMB‐LOF BC cells restores NUMB levels, and decreases the number of cancer stem cells and tumorigenic ability in vivo. Targeting CRL7FBXW8 offers
Simone Sabbioni   +16 more
wiley   +1 more source

Telehealth in emergency medicine residency training: A model curriculum. [PDF]

open access: yesJ Am Coll Emerg Physicians Open
Oh L   +8 more
europepmc   +1 more source

Left Flank Pain [PDF]

open access: yes, 2015
Nappe, Thomas M, DO, Quinn, Shawn M., DO
core   +1 more source

Activation of Glutamatergic Neurons in the Supramammillary Nucleus Promotes the Recovery of Consciousness under Sevoflurane Anesthesia

open access: yesAdvanced Science, EarlyView.
Selective lesioning of SuM glutamatergic neurons promoted the induction of and delayed emergence from sevoflurane anesthesia and increased sevoflurane sensitivity. Optogenetic stimulation of SuM glutamatergic neurons or the SuM‐MS projection promoted behavioral arousal and cortical activation under steady‐state sevoflurane anesthesia and reduced the ...
Jiayan Li   +8 more
wiley   +1 more source

Ultralow‐Dimensionality Reduction for Identifying Critical Transitions by Spatial‐Temporal PCA

open access: yesAdvanced Science, EarlyView.
The proposed spatial‐temporal principal component analysis (stPCA) method analytically reduces high‐dimensional time‐series data to a single latent variable by transforming spatial information into temporal dynamics. By preserving the temporal properties of the original data, stPCA effectively identifies critical transitions and tipping points.
Pei Chen   +6 more
wiley   +1 more source

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