Natural fliers achieve remarkable aerial performance through diverse wing neuromechanical systems integrating actuation, sensing, and control. This study synthesizes neuromechanical architectures in insects and hummingbirds, identifying two key functional types‐Dual Neural‐Mechanical Oscillator and Neurally‐modulated Mechanical Oscillator‐ and ...
Suyash Agrawal +4 more
wiley +1 more source
Experimental investigation and analytical verification of buckling of functionally graded carbon nanotube-reinforced sandwich beams. [PDF]
Madenci E +9 more
europepmc +1 more source
Microrobotic Catheterization of the Ophthalmic Artery for Targeted Treatment of Retinoblastoma
A microrobotic platform is presented that allows teleoperated and autonomous navigation of flow‐driven magnetic microcatheters, MagFlow, into the ophthalmic artery for superselective intra‐arterial infusion of chemotherapy to treat retinoblastoma. Extensive benchtop validations with patient‐derived biomimetic phantoms under optical and fluoroscopic ...
Artur Banach +5 more
wiley +1 more source
Calculating the free vibrations of functionally graded plates using the unlimited integral [PDF]
This paper discusses the use of the infinite integral to calculate free vibrations of composite structures. This technique allows us to reduce the number of unknowns to four, resulting in simpler governing equations.
Meftah, Ali
core +1 more source
Navier-Stokes Equation: A Solution [PDF]
openaire +1 more source
A tongue‐like bioactuator is developed using orthogonally aligned cultured skeletal muscle tissues. By applying directional electrical stimulation of varying strengths, the actuator achieves jointless, multidirectional movements. The device features a fully soft, skeleton‐free design, enabling biomimetic deformation and functional actuation, and offers
Xuankai Gao +4 more
wiley +1 more source
Exact Solutions for the Non-Isothermal Poiseuille Flow of a FENE-P Fluid. [PDF]
Baranovskii ES.
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
Modified Couple Stress Theory for nonlinear primary resonance of FG-GPLRC cylindrical shells in thermal environment. [PDF]
Forghani MA +4 more
europepmc +1 more source
Application of a forward model of axisymmetric shear wave propagation in viscoelastic media to shear wave elastography. [PDF]
Yengul SS, Barbone PE, Madore B.
europepmc +1 more source

