Results 31 to 40 of about 78,419 (180)

Barnes Hospital Bulletin [PDF]

open access: yes, 1967
https://digitalcommons.wustl.edu/bjc_barnes_bulletin/1015/thumbnail ...

core   +1 more source

Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems

open access: yes, 2017
A key challenge in multi-robot and multi-agent systems is generating solutions that are robust to other self-interested or even adversarial parties who actively try to prevent the agents from achieving their goals.
Amato, Christopher   +4 more
core   +1 more source

Consensus Formation and Change are Enhanced by Neutrality

open access: yesAdvanced Science, EarlyView.
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag   +3 more
wiley   +1 more source

Clickable Microgel Inks Enable Spatioselective, Multi‐Stimuli Programmable Assembly of Materials

open access: yesAdvanced Science, EarlyView.
Clickable microgel inks enable direct ink writing of hydrogel architectures with intrinsic spatioselective and programmable multi‐responsiveness. By combining pH‐responsive and temperature‐responsive microgel building blocks through Diels‐Alder interparticle crosslinking, the assemblies exhibit controllable swelling and shape changes.
Junho Moon   +3 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

Wrinkle‐Adaptive Kirigami Wearables With Anisotropic Deformability for Sleep EEG Monitoring

open access: yesAdvanced Science, EarlyView.
This article introduces a wrinkle‐adaptive, kirigami‐structured wearable EEG patch that personalizes electrode‐skin conformity to stabilize the interface and enable wireless, high‐quality sleep monitoring. ABSTRACT Wearable electroencephalography (EEG) devices offer a promising solution for continuous brain monitoring outside laboratory settings ...
Jungmin Kim   +5 more
wiley   +1 more source

Dynamic walking with Dribbel [PDF]

open access: yes, 2006
This paper describes the design and construction of Dribbel, a passivity-based walking robot. Dribbel has been designed and built at the Control Engineering group of the University of Twente. This paper focuses on the practical side: the design approach,
Dertien, Edwin
core   +3 more sources

Clinical utility of pharyngeal high‐resolution manometry with impedance for upper esophageal sphincter dysfunction in gastroenterology

open access: yesAdvances in Digestive Medicine, EarlyView.
Abstract Pharyngeal high‐resolution manometry with impedance (P‐HRM‐I) is an established assessment method used to evaluate pharyngeal swallowing. It provides precise quantification of swallowing biomechanics that enable the detection of alterations in swallowing physiology.
Mistyka Schar   +5 more
wiley   +1 more source

Using Surface-Motions for Locomotion of Microscopic Robots in Viscous Fluids [PDF]

open access: yes, 2014
Microscopic robots could perform tasks with high spatial precision, such as acting in biological tissues on the scale of individual cells, provided they can reach precise locations.
Hogg, Tad
core   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

open access: yesAdvanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas   +4 more
wiley   +1 more source

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