Results 201 to 210 of about 55,280 (259)

Wearable‐Derived Diurnal Alignment Between Physical Activity and Device Temperature Predicts Future Disease and Mortality Risk

open access: yesAdvanced Science, EarlyView.
Wearable‐derived diurnal alignment between physical activity and device temperature, decomposed into 24 h coupling strength (M24), phase deviation (D24), and 12 h harmonic magnitude (M12), is examined in approximately 90,000 UK Biobank participants.
Han Chen   +6 more
wiley   +1 more source

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

open access: yesAdvanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu   +5 more
wiley   +1 more source

Closed‐Loop Decoding and Intervention of Pain: A Novel BMI Strategy Integrating θ‐Band Detection and Mechano‐Electro‐Biological Coupled Hydrogels

open access: yesAdvanced Science, EarlyView.
A closed‐loop brain–machine interface with a PFAPT hydrogel electrode identifies prefrontal θ‐band as a neuropathic pain biomarker. The hydrogel enables stable 28 d ECoG recording and delivers θ‐triggered cortical stimulation, alleviating pain and affective behaviors in rats via bidirectional regulation of inflammation and central sensitization ...
Yun Ji   +17 more
wiley   +1 more source

Towards personalization of 1D blood flow models: sensitivity analysis and parameter calibration. [PDF]

open access: yesBiomech Model Mechanobiol
Mansilla Alvarez LA   +6 more
europepmc   +1 more source

Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization

open access: yesAdvanced Science, EarlyView.
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley   +1 more source

Molecularly Engineered Wing‐Shaped Azobenzene Memristors for Logic‐in‐Memory and Edge Visual Intelligence

open access: yesAdvanced Science, EarlyView.
Rational engineering of terminal substituents in symmetric azobenzene‐based molecules enables precise control over conformationally coupled charge‐transfer processes. This design yields tunable nonvolatile resistive memory behaviors, ranging from write‐once‐read‐many‐times (WORM) to rewritable switching.
Yanze Liu   +11 more
wiley   +1 more source

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