3D‐Printing Aided Rapid Prototyping of Pretensioned Tensegrity Structures for Robotic Applications
Printing, injection molding, and assembly (PMA) is a method for rapid prototyping mesoscale, topologically complex, and tensioned tensegrity structures. In combination with PMA method, two mold design strategies: modular mold and compact channel layout, enable efficiency and scalability for tensegrity fabrication.
Yi Sun +3 more
wiley +1 more source
Fast Polynomial Approximation of Heat Kernel Convolution on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis. [PDF]
Huang SG, Lyu I, Qiu A, Chung MK.
europepmc +1 more source
Approximate Solutions of Polynomial Equations
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A Low‐Cost, Handheld Optical Stiffness Sensor for Minimally Invasive Surgery
A novel handheld stiffness sensor is presented for real‐time tissue stiffness characterization. By simultaneously sensing contact force and tissue deformation, the device enables accurate stiffness quantification without requiring precise manual control. This approach offers a promising solution for intraoperative tumor detection and minimally invasive
Qianyu Ma +4 more
wiley +1 more source
Polynomial factorization by root approximation [PDF]
We show that a constructive version of the fundamental theorem of algebra [3], combined with the basis reduction algorithm from [1], yields a polynomial-time algorithm for factoring polynomials in one variable with rational coefficients.
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Stiffness‐Programmable Origami Robots With Tendon‐Driven Actuation via Multimaterial 3D Printing
Motion diversity is achieved in a tendon‐driven origami robot through programmable stiffness rather than modified actuation. Multimaterial 3D printing embeds soft creases, modular inserts redirect identical tendon inputs into distinct behaviors, and variable‐stiffness inserts enable real‐time switching.
Elisha Lerner, Jianguo Zhao
wiley +1 more source
Analytical formulas for polynomial coefficients in radial basis function interpolation
Radial basis functions (RBF) are used in many areas, including interpolation and approximation, solution of partial differential equations, neural networks, and machine learning. RBFs are based on the sum of weighted kernel functions.
Vaclav Skala
doaj +1 more source
Approximation by Stancu–Chlodowsky polynomials
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Physical Origin of Temperature Induced Activation Energy Switching in Electrically Conductive Cement
The temperature‐induced Arrhenius activation energy switching phenomenon of electrical conduction in electrically conductive cement originates from structural degradation within the biphasic ionic‐electronic conduction architecture and shows percolation‐governed characteristics: pore network opening dominates the low‐percolation regime with downward ...
Jiacheng Zhang +7 more
wiley +1 more source
A finite element/polynomial spectral mixed approximation for the Stokes problem
A mixed Galerkin approximation for the Stokes problem is proposed. The finite element approximation is used for the velocity and the polynomial spectral approximation for pressure.
Shinya Uchiumi
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