Data‐Driven Modeling of Forces Exerted by Pneumatic Actuators for a Pediatric Exosuit
This work presents the experimental analysis and data‐driven modeling of the interaction forces between soft pneumatic actuators designed to assist upper‐extremity motion in a pediatric exosuit and an engineered test rig, across different experimental conditions: (A) force profiling of shoulder actuators, with varying actuator anchoring points and ...
Mehrnoosh Ayazi +4 more
wiley +1 more source
Current status and associated factors of social avoidance in postoperative breast cancer patients: a cross-sectional study. [PDF]
Chen X +7 more
europepmc +1 more source
Soft Artificial Ciliary Brush with Integrated Haptic Feedback for Efficient Airway Mucus Cleaning
A fundamental mucus cleaning mechanism is reported, which utilizes both artificial cilia mechanical sweeping and suction‐based mucus cleaning. A novel haptic feedback interface for the artificial cilia provides touch feedback on tissue contact, enhancing operator control and safety.
Zhongming Lyu +7 more
wiley +1 more source
Activation of posterior ventral pallidum by bitter taste in mice. [PDF]
Tanaka DH, Tanabe T.
europepmc +1 more source
Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera +2 more
wiley +1 more source
Morphological resemblance to injections elicits fear, disgust, and reduced conservation intent toward insects. [PDF]
Prokop P +2 more
europepmc +1 more source
The abject and the vulnerable: the twain shall meet: reflections on disability in the moral economy [PDF]
Hughes, Bill
core +1 more source
Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials
This study quantitatively assesses how universal machine‐learning interatomic potentials encode the chemical space into latent features, showing unique model‐specific representations with high cross‐model reconstruction errors. It explores how training datasets, protocols, and targets affect these encodings.
Sofiia Chorna +5 more
wiley +1 more source
Age-Related Differences in How Fear, Disgust, and Sadness Influence Strategic Aspects of Arithmetic Performance. [PDF]
Lallement C, Lemaire P.
europepmc +1 more source
Basic emotions reported by individuals with persistent physical symptoms receiving exposure therapy versus healthy lifestyle promotion in primary care. [PDF]
Hybelius J +18 more
europepmc +1 more source

