Results 141 to 150 of about 1,486,726 (286)

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

Chattanooga Venture News, vol. II, no. 1

open access: yes, 1985
Newsletter of Chattanooga Venture News published by Chattanooga Venture, an organization dedicated to revitalizing Chattanooga, Tennessee, that contains information about upcoming projects and continued work in the community.Come to the Vision 2000 ...
Chattanooga Venture (Organization); Crowe, Naman
core   +2 more sources

Joint venture on the further development of chemical exposure assessment by use of probabilistic modelling. [PDF]

open access: yesEFSA J, 2019
Austrian Agency for Health and Food Safety (AGES)   +2 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

Harnessing Large‐Scale Multi‐Omics Data for Risk Prediction and Deep Phenotyping of Valvular Heart Diseases in the General Population

open access: yesAdvanced Science, EarlyView.
Large‐scale UK Biobank analyses identify clinical and proteomic signatures for early prediction of valvular heart disease and its subtypes. Proteins add predictive value for VHD, AVS, and MVR, with outcome‐specific compact panels showing translational potential. Multi‐layer evidence highlights matrix remodeling, protease regulation, immune inflammation,
Zhihao Jiang   +10 more
wiley   +1 more source

Robust and Fragile Medical Image Watermarking: A Joint Venture of Coding and Chaos Theories. [PDF]

open access: yesJ Healthc Eng, 2018
Rahman AU   +5 more
europepmc   +1 more source

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