Results 101 to 110 of about 3,551 (214)

Group Cooperation Under Alternative Peer Punishment Technologies: An Experiment. [PDF]

This paper experimentally studies peer punishment under three alternative technologies. We find that the choice of peer punishment technology has a substantial impact on group performance.
Casari, Marco, Luini, Luigi
core  

Application of GAN–CNN in Risk Assessment of Pipeline Failures in Multiphase Pipeline With Image Information Encoding Approach

Energy Science &Engineering, EarlyView.
Field data from multiphase pipelines are transformed into grayscale images via Image Information Encoding, preserving feature values and interparameter relationships. A GAN–CNN model generates synthetic images that are decoded to expand the original database.
Sihang Chen, Na Zhang, Biyuan Shui
wiley   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

A Review of Mechanical Reinforcement and Piezoresistive Self‐Sensing in Carbon Nanotube Fiber Composites

Polymer Composites, EarlyView.
PSPP‐TRL mapping of CNT‐modified CFRP literature, with four recurring confusions resolved and five scale‐up problems quantified. ABSTRACT Carbon nanotube‐modified fiber composites are often presented as a route to stronger, tougher, and self‐sensing structural materials.
Sanan H. Khan
wiley   +1 more source

PAY-AS-YOU-SPEED: AN ECONOMIC FIELD-EXPERIMENT [PDF]

We report a vehicle-fleet experiment with an economic incentive given to car drivers for keeping within speed limits. A pay-as-you-speed traffic insurance scheme was simulated with a monthly participation bonus that was reduced by a non-linear speeding ...
Lindberg, Gunnar, Hultkrantz, Lars
core  

Effect of Accelerated Aging on the Performances of 3D Printed Polylactic Acid‐Polyhydroxyalkanoate Specimens

Polymer Engineering &Science, EarlyView.
The accelerated aging behaviours on the FFF‐fabricated PLA‐PHA Specimens. ABSTRACT Despite the increasing use of biodegradable polymers in additive manufacturing, their long‐term durability remains insufficiently understood. The aim of this study to investigate the influence of accelerated aging on the performance of fused filament fabrication‐printed ...
Han Xu, Jiayu Chen, Yinshi Lu, Handai Liu, Farnoosh McDonagh, Evert Fuenmayor, Ian Major, Genfu Xiao, Ke Gong   +8 more
wiley   +1 more source

Group formation and social evolution: a computational model

, 2008
The tendency to organise into groups is a fundamental property of human nature. Despite this, many models of social network evolution consider the emergence of community structure as a side effect of other processes, rather than as a mechanism driving ...
Nicholas Geard, Bullock, Seth, Geard, Nicholas, Seth Bullock   +3 more
core  

Exploring the Use and Impact of Composite Materials in Robotics: A Systematic Review

Journal of Field Robotics, EarlyView.
ABSTRACT Lightweight and high‐strength materials are important in robotics, as structural design impacts efficiency, payload capacity, and energy consumption. Composite materials, with their superior stiffness‐to‐weight ratios and multifunctional properties, offer clear advantages over conventional metals and polymers.
Doglas Negri, Gabriela Wessling Oening, Felipe Augusto Carvalho de Faria, Sarah Maria Schroeder, Ricardo De Medeiros   +4 more
wiley   +1 more source

Kinematic modeling and simulation of dual-sided shaper machine using Newton-Euler and Lagrangian approaches. [PDF]

Sci Rep
Gutata GR, Kebede GA, Abbera GH.
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source