Results 281 to 290 of about 2,687,568 (346)

Role of Testosterone Signaling in Microglia: A Potential Role for Sex‐Related Differences in Alzheimer's Disease

open access: yesAdvanced Science, EarlyView.
Testosterone enhances Aβ‐induced autophagy in microglia via the non‐genomic testosterone receptor GPRC6A, promoting Aβ clearance by suppressing ERK phosphorylation and inhibiting mTOR activation. In male 5xFAD mice, testicular removal reduces microglial autophagy and Aβ clearance, which is restored by testosterone.
Haiyan Du   +8 more
wiley   +1 more source

Exploring the Latent Information in Spatial Transcriptomics Data via Multi‐View Graph Convolutional Network Based on Implicit Contrastive Learning

open access: yesAdvanced Science, EarlyView.
STMIGCL is an implicit contrastive learning‐based multi‐view graph convolutional network framework designed for downstream tasks such as spatial domain recognition, trajectory inference, and spatially variable gene identification. By combining multi‐view learning with contrastive learning and employing contrastive learning methods that enhance contrast
Sheng Ren   +5 more
wiley   +1 more source

Ecological quality and structural diversity of Western Taiga habitat (*9010) in Estonia's Natura 2000 network. [PDF]

open access: yesEnviron Monit Assess
Põldveer E   +5 more
europepmc   +1 more source

ZNHIT3 Regulates Translation to Ensure Cell Lineage Differentiation in Mouse Preimplantation Development

open access: yesAdvanced Science, EarlyView.
Box C/D snoRNP complex regulates protein translation. This study identifies ZNHIT3 as a key component of the complex and ensures normal protein expression, including transcription factors orchestrating cell fate commitment, during early mouse embryogenesis.
Guanghui Yang, Qiliang Xin, Jurrien Dean
wiley   +1 more source

How to Define Spacing Among Forest Trees to Mitigate Competition: A Technical Note. [PDF]

open access: yesBiology (Basel)
Zabihi K   +4 more
europepmc   +1 more source

Comparison of Large Language Model with Aphasia

open access: yesAdvanced Science, EarlyView.
Large language models (LLMs) answer almost all questions fluently but often inaccurately, which resembles a specific type of aphasia in humans. Using a data‐driven analysis called energy landscape analysis, this study reveals similarities in the internal information dynamics between LLMs and the brains of humans with receptive aphasia, such as Wernicke'
Takamitsu Watanabe   +4 more
wiley   +1 more source

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