Results 211 to 220 of about 452,508 (327)

Microglial Deletion of Hrh4 Alleviates Alzheimer's Disease Pathologies by Enhancing Microglial Phagocytosis of Amyloid‐β and Tau

open access: yesAdvanced Science, EarlyView.
Histamine H4 receptor (H4R) antagonist VUF6002 mimics low‐dose X‐ray irradiation in aged Alzheimer's disease (AD) mice, enhancing microglial clearance of amyloid‐beta/hyperphosphorylated tau aggregates and restoring cognition. Microglial H4R deletion activates cAMP/TGF‐β1/Smad3 pathway, enhancing phagocytosis, while TGF‐β receptor 1 deletion abolishes ...
Yi‐Jun Xu   +5 more
wiley   +1 more source

Deciphering Neural Mechanisms Underlying Marmoset Dynamic Natural Behaviors Using a Miniaturized Wireless Large‐Scale Coverage Neural Recorder

open access: yesAdvanced Science, EarlyView.
This study introduces a miniaturized wireless neural recording system integrated with custom‐designed 120‐channel µECoG arrays, engineered for monitoring brain activities in freely behaving marmosets. The system can capture and characterize behavior‐specific neural signals, including drinking‐related activation, pre‐vocalization anticipatory responses,
Hongru Liu   +22 more
wiley   +1 more source

Multimodal Cognitive Architecture with Local Generative AI for Industrial Control of Concrete Plants on Edge Devices. [PDF]

open access: yesSensors (Basel)
Hidalgo-Castelo F   +4 more
europepmc   +1 more source

The Graphical Query Language: a tool for analysis of gene expression time-courses [PDF]

open access: bronze, 2005
Ivan G. Costa   +2 more
openalex   +1 more source

Vitamin D Regulates Olfactory Function via Dual Transcriptional and mTOR‐Dependent Translational Control of Synaptic Proteins

open access: yesAdvanced Science, EarlyView.
Vitamin D (VitD) modulates olfactory function by remodeling dendrodendritic synapses in tufted cells through vitamin D receptor‐dependent transcriptional and translational mechanisms. VitD regulates synaptic protein translation partially via mTOR signaling.
Pengcheng Ren   +9 more
wiley   +1 more source

Data‐Driven Fatigue Prediction of Superalloys: A Novel Strategy Integrating Transfer Learning and Partial Label Learning for Addressing Ambiguous Data

open access: yesAdvanced Science, EarlyView.
A novel machine learning strategy tackles ambiguous compositional data to predict superalloy fatigue. By integrating partial label with transfer learning and enriching features through thermodynamic calculations, this approach achieves superior accuracy and interpretability.
Haopeng Lv   +10 more
wiley   +1 more source

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