Results 201 to 210 of about 167,946,764 (290)
PROTOCOL: Evidence and Gap Map of Studies of the Effects of Health Interventions to Reduce Out-of-Pocket Expenses. [PDF]
Li X +11 more
europepmc +1 more source
Cellulose fibers functionalized using cationic poly(Dimethyldiallylammonium chloride) (polyDADMAC) and laccase‐mediated ferulic acid system are processed into foams using different surfactants (Anionic, cationic, and non‐ionic). Fiber–surfactant interactions influence foam stabilization and porous structure formation during convective drying, producing
Abirami Senthil +4 more
wiley +1 more source
Out-of-pocket expenditures, accessibility, and affordability of low-protein nutrition in rare metabolic disorders in Türkiye. [PDF]
Yeşildal M, Erişen MA, Eşgi M.
europepmc +1 more source
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa +10 more
wiley +1 more source
Use and Out-of-Pocket Costs of Inhaler Devices by Payer Type and Estimated Carbon Dioxide Emissions.
Qato DM +5 more
europepmc +1 more source
Counting the Cost: Examining Out-of-Pocket Spending on Emergency Care in Newfoundland and Labrador, Canada. [PDF]
Williams N +5 more
europepmc +1 more source
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska +2 more
wiley +1 more source
Edible robotics is an emerging field that leverages edible materials to construct robotic systems. This study presents a method to create thin, lightweight, yet powerful edible soft actuators, namely edible pouch motors. The successful operation of these edible actuators and grippers renders their potential to advance future developments in edible ...
Keigo Takahashi +3 more
wiley +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source

