Results 241 to 250 of about 281,837 (328)

Brain-derived neurotrophic factor-dependent unmasking of “silent” synapses in the developing mouse barrel cortex

open access: green, 2003
Chiaki Itami   +6 more
openalex   +1 more source

A Quantum Framework for Protein Binding‐Site Structure Prediction on Utility‐Level Quantum Processors

open access: yesAdvanced Science, EarlyView.
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang   +10 more
wiley   +1 more source

Paul Hoffmann and the cutaneous silent period test. [PDF]

open access: yesArq Neuropsiquiatr
Fustes OJH   +5 more
europepmc   +1 more source

Hungry for Knowledge: Octopamine Signaling Regulates Hunger‐Enhanced Olfactory Learning

open access: yesAdvanced Science, EarlyView.
Researchers demonstrate that hunger state facilitates both aversive and appetitive olfactory learning. Two distinct octopamine signaling pathways are involved in aversive or appetitive memory formation in the hunger state. And, hunger state also facilitates the formation of both types of memories via an evolutionarily conserved norepinephrine (the ...
Huijuan Zhao   +14 more
wiley   +1 more source

Ionic–Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy

open access: yesAdvanced Science, EarlyView.
Ionic–bionic interfaces for bioelectronics leverage ions as multifunctional mediators that combine mechanical compliance, ionic and electronic functionalities, and therapeutic effects. These systems offer real‐time biosignal transduction, effective wound dressing, responsive drug delivery, and seamless interaction between soft tissues and electronic ...
Yun Goo Ro   +6 more
wiley   +1 more source

HIDF: Integrating Tree‐Structured scRNA‐seq Heterogeneity for Hierarchical Deconvolution of Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
The prevailing neglect of cellular hierarchies in current spatial transcriptomics deconvolution often obscures cellular heterogeneity and impedes the identification of fine‐grained subtypes. To address this issue, HIDF employs a cluster‐tree and dual regularization to systematically model cellular hierarchical structures.
Zhiyi Zou   +5 more
wiley   +1 more source

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