Results 141 to 150 of about 29,717 (216)
In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang +4 more
wiley +1 more source
Chem-SIM: SIM-resolved chemical imaging via wide-field mid-infrared photothermal modulation of fluorescence. [PDF]
Dong D +8 more
europepmc +1 more source
A digital twin framework is presented for modular soft continuum arms built from fiber‐reinforced pneumatic actuators. Cosserat rod models describe individual actuators, while virtual assemblies are formed through serial and parallel networks, preserving actuator‐level architecture and arm deformation.
Seung Hyun Kim +11 more
wiley +1 more source
Functional vulnerability and all-cause mortality among community-dwelling United States adults with a history of hepatitis or chronic liver disease. [PDF]
Ogbu CE, Momodu I, Okafor PN.
europepmc +1 more source
Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function
A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia +3 more
wiley +1 more source
A highly versatile and general strategy is presented for the scalable production of practical quantities of ω‐substituted α‐olefins using tris(ω‐substituted alkyl)aluminum telogens that are readily available through a “green” synthesis from commodity triisobutylaluminum and ethene as the taxogen. These new α‐olefins can be designed and used as monomers
Lauren G. Logue +4 more
wiley +2 more sources
Global distribution of cattle, horses, goats, sheep and buffaloes at 1 km resolution for 2000-2022 based on subnational census data and spatiotemporal machine learning. [PDF]
Parente L +12 more
europepmc +1 more source
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou +5 more
wiley +1 more source
Source-Prior Engineering for Bayesian Optical Sensing in Time-Reversed Young Interferometry. [PDF]
Wen J.
europepmc +1 more source
Accelerating Musculoskeletal Robotics Through Parametric Design and 3D‐Printed Flexible Structures
Parametric design and flexible 3D printing create muscle‐, tendon‐, ligament‐, and cushion‐like robotic elements from a single thermoplastic polyurethane material. Tuning lattice patterns adjusts regional mechanical properties and enables coordinated multijoint motions in a life‐sized musculoskeletal leg under external suspension, with partial body ...
Shunnosuke Yoshimura +2 more
wiley +1 more source

