Wearable Metamaterials with Embodied Intelligence for Programmable Control of Human Limbs Tremor
Resulting from alternating muscle contractions, tremors can severely limit human ability to perform everyday tasks like walking or talking, due to their disruptive nature. Medication and surgery may not always effectively address tremor control. A wearable device embodying programmable smart metamaterials with adaptable intelligence to meet the demand ...
Braion Barbosa de Moura +2 more
wiley +1 more source
The relationship between physical exercise and Chinese college students' career decision-making difficulties: a chain mediating model of psychological capital and employment attitude. [PDF]
Fang Y +6 more
europepmc +1 more source
Crater Observing Bioinspired Rolling Articulator (COBRA)
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame +4 more
wiley +1 more source
The role of intellectual humility leadership on thriving at work and performance of new generation employees. [PDF]
Gao C, Niu A, Yu C.
europepmc +1 more source
Job Attitudes of Agricultural Middle Managers
Vera Bitsch, Bitsch, Vera
openalex +2 more sources
Wirelessly Powered Soft Magnetic Robot with Microneedle for Electrical Stimulation and Drug Delivery
A wirelessly powered soft magnetic robot integrates microneedles to enable dual functions: electrical stimulation (86.7% efficiency at 6 cm, tunable 0–20 V voltage, 0.4–50 ms pulses) and drug delivery. It switches surfaces via magnetic fields for gastrointestinal tract locomotion and treatment, with in vitro validation in fresh pig gut showing ...
Song Zhao +8 more
wiley +1 more source
Factors Associated With Low Utilization of Cervical Cancer Screening Services in Gazipur, Bangladesh. [PDF]
Kabir SF +9 more
europepmc +1 more source
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source

