In Vitro Effects of Sof-Lex, Eve, and Astropol Polishing Systems on Composite Resin Surface Roughness after Aging. [PDF]
Saati K +3 more
europepmc +1 more source
Modeling of Fatigue Wear of Viscoelastic Coatings. [PDF]
Stepanov FI, Torskaya EV.
europepmc +1 more source
Peut-on craindre une pénurie de caoutchouc ?
Suite à la réunion, tenue à Washington, le Groupe International d'Etudes du Caoutchouc publie la situation de la production et de la consommation du caoutchouc dans le monde en 1977 et fait les évaluations pour ...
De Padirac, Raymond
core
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
Characterizing pen strokes produced using various commercially available thermochromic inks. [PDF]
Alvarez Cordeiro MA, Gondikas C.
europepmc +1 more source
Genome-wide analysis in Hevea brasiliensis laticifers revealed species-specific post-transcriptional regulations of several redox-related genes. [PDF]
Zhang Y +7 more
europepmc +1 more source
WorMa is an amphibious undulatory robot that uses Center of Mass redistribution as the sole terrain adaptation mechanism. This mechanism is based on internal fluid mass redistribution through a pump‐driven latex balloon system that creates three profiles: head‐biased, balanced, and tail‐biased.
Daniil Filimonov, Nana Obayashi
wiley +1 more source
On non-adjacent letter repetition and orthographic processing: Lexical decisions to nonwords created by repeating or inserting letters in words. [PDF]
Kerr E, Mirault J, Grainger J.
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source

