Results 131 to 140 of about 199,303 (313)

Dual‐Working‐Pattern Nanosheet‐Based Hydrogel Sensors for Constructing Human‐Machine and Physiological‐Electric Interfaces

open access: yesAdvanced Science, EarlyView.
Hydrogels hold great potential as candidates for next‐generation epidermal electronics; however, an unresolved issue remains: the differentiation and selection of sensing modes in hydrogel sensors. This study integrates series‐parallel conductive nanosheet configurations into an ultra‐soft hydrogel, resulting in enhanced signal intensity and ...
Shitao Shi   +9 more
wiley   +1 more source

The DEC2‐SCN2A Axis is Essential for the Anticonvulsant Effects of Cannabidiol by Modulating Neuronal Plasticity

open access: yesAdvanced Science, EarlyView.
This study identifies DEC2 as a critical transcriptional repressor of Scn2a that directly binds E‐box motifs in its promoter to regulate neuronal plasticity and epileptogenesis. Functional manipulation of DEC2 alters seizure susceptibility in vivo. Cannabidiol enhances this repression, unveiling a novel DEC2‐SCN2A axis underlying its anticonvulsant ...
Huifang Song   +24 more
wiley   +1 more source

A 3D Printing Strategy for Hard Curved Surfaced Circuits: From Materials to Applications

open access: yesAdvanced Science, EarlyView.
Conventional PCB etching (multi‐step) and indirect transfer techniques fail to meet structural electronics’ demands for lightweight, miniaturized, and customized manufacturing. 3D‐printed conformal circuits enable direct integration of conductive traces into substrates or onto surfaces, achieving integrated structural‐functional fabrication.
Wang Qin   +12 more
wiley   +1 more source

Brain‐Inspired Polymer Dendrite Networks for Morphology‐Dependent Computing Hardware

open access: yesAdvanced Science, EarlyView.
Although process variability is often perceived as a drawback in electronics, this work harnesses the stochastic nature of electropolymerization as a powerful ally for computation. The resulting conductive polymer dendrites exhibit unique structure‐property relationships and support in memory computing, paving the way for the development of a new class
Corentin Scholaert   +3 more
wiley   +1 more source

Cut‐Enabled Mechanical Metamaterials for Multimodal and Reprogrammable Static Nonreciprocity

open access: yesAdvanced Science, EarlyView.
Cut‐enabled mechanical metamaterials are designed to overcome the challenge of obtaining multiple and reprogrammable static nonreciprocal modes in a single microstructural topology. It offers a pathway to synthesize multiple nonreciprocal modes and control the nonreciprocal responses, enhancing the functionality of metamaterials.
Jinhao Zhang   +8 more
wiley   +1 more source

ChromInSight: Revealing DNA Double‐Strand Breaks Through Chromatin Structural Insights With an Interpretable Graph Neural Network Framework

open access: yesAdvanced Science, EarlyView.
DSBs are the most critical genomic lesions. Using the ChromInSight framework, It is revealed that 3D chromatin structure, rather than linear distance, shapes cluster‐scene between hub‐Nodes and DSB loci. The “spatial isolation–damage containment” hypothesis is proposed to illustrate how the genome responds to genomic damage and offer a powerful tool ...
Kang Xu   +9 more
wiley   +1 more source

Spatiotemporal Characterization of the Functional MRI Latency Structure with Respect to Neural Signaling and Brain Hierarchy

open access: yesAdvanced Science, EarlyView.
Resting‐state fMRI captures intrinsic brain activity, yet the physical significance of latency structures remains unclear. In this study, the spatiotemporal properties of fMRI‐derived latency structures are examined by linking them to biophysical model‐based neural functions, intrinsic neural timescales, and functional gradients.
Hyoungshin Choi   +5 more
wiley   +1 more source

Topological Edge State Nucleation in Frequency Space and its Realization with Floquet Electrical Circuits

open access: yes
4 pages, 3 figures ...
Stegmaier, Alexander   +13 more
openaire   +2 more sources

Quantum Kernel Learning for Small Dataset Modeling in Semiconductor Fabrication: Application to Ohmic Contact

open access: yesAdvanced Science, EarlyView.
A quantum kernel‐aligned regressor (QKAR) is developed for modeling Ohmic contact formation in GaN HEMT fabrication. Leveraging experimental data and a Pauli‐Z feature map enhanced with a quantum kernel alignment (QKA) layer, the model achieves superior predictive performance over classical methods.
Zeheng Wang   +7 more
wiley   +1 more source

Electrolyte Transport Parameters and Interfacial Effects in Calcium Metal Batteries: Analogies and Differences to Magnesium and Lithium Counterparts

open access: yesAdvanced Science, EarlyView.
Mg and Ca metal batteries represent promising alternatives to Li‐based batteries. Due to their position in the periodic table, the metals and their corresponding cations share commonalities, which lead to similarities but also differences in terms of electrolyte transport properties and interfacial processes.
Joachim Häcker   +7 more
wiley   +1 more source

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