Results 61 to 70 of about 242,121 (307)

Fairness, Incentives and Contractual Incompleteness [PDF]

, 2001
We show that concerns for fairness may have dramatic consequences for the optimal provision of incentives in a moral hazard context. Incentive contracts that are optimal when there are only selfish actors become inferior when some agents are concerned ...
Fehr, Ernst, Schmidt, Klaus M, Schmidt, Klaus, Klein, Alexander, Schmidt, Klaus M., Fehr, Ernst; https://orcid.org/   +5 more
core   +1 more source

Influence of Fe Particle Size Distribution on Chemical Homogeneity, Microstructure, and Crack Formation in Fe–SiC Powder Blends Processed by PBF‐LB/M

Advanced Engineering Materials, EarlyView.
The influence of Fe particle size on in situ alloying of Fe–SiC powder blends in PBF‐LB/M is revealed. Contrary to expectations, the coarser Fe fraction provides a broader crack‐free processing window and slightly improved elemental homogeneity while producing higher but more variable hardness. The results highlight a complex trade‐off between particle
Anna Luise Strauch, Anastasiya Toenjes, Matthias Steinbacher   +2 more
wiley   +1 more source

Fairness in artificial intelligence‐driven multi‐organ image segmentation

iRADIOLOGY
Fairness is an emerging consideration when assessing the segmentation performance of machine learning models across various demographic groups. During clinical decision‐making, an unfair segmentation model exhibits risks in that it can pose inappropriate
Qing Li, Yizhe Zhang, Longyu Sun, Mengting Sun, Meng Liu, Zian Wang, Qi Wang, Shuo Wang, Chengyan Wang   +8 more
doaj   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

A Fair Cooperative MAC Protocol in IEEE 802.11 WLAN

Future Internet, 2018
Cooperative communication techniques have recently enabled wireless technologies to overcome their challenges. The main objective of these techniques is to improve resource allocation.
Seyed Davoud Mousavi, Rasool Sadeghi, Mohamadreza Karimi, Erfan Karimian, Mohammad Reza Soltan Aghaei   +4 more
doaj   +1 more source

Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer

Advanced Functional Materials, EarlyView.
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero, Meghna Jha, Elsa Veronica Flores‐Vela, Joost Kimpel, Andreas Schaefer, Jiali Guo, Jesika Asatryan, Alberto Peinador Veiga, Shuichi Haraguchi, Per‐Anders Carlsson, Jaime Martín, Mariano Campoy‐Quiles, Christian Müller   +12 more
wiley   +1 more source

Self-concept in fairness and rule establishment during a competitive game: a computational approach

Frontiers in Psychology, 2015
People consider fairness as well as their own interest when making decisions in economic games. The present study proposes a model that encompasses the self-concept determined by one’s own kindness as a factor of fairness. To observe behavioral patterns
Sang Ho eLee, Sung-Phil eKim, Yang Seok eCho   +2 more
doaj   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

Advanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee, Byung Ik Park, Gihyeon Yim, Hyunjae Yoo, Sangjun Ma, Jundong Park, Jeong‐Yun Sun   +6 more
wiley   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

Sub‐1 ms Optoelectronic Synapse Based on {ZnCdO/ZnO} Multilayer Structure for High‐Speed Neuromorphic Vision Systems

Advanced Functional Materials, EarlyView.
Eu‐doped {ZnCdO/ZnO} structures grown on Si are developed, showcasing dual‐functionality controlled by europium doping. While high europium concentration transforms the device into an ultrafast, self‐powered photodetector, low‐doped structures can be used as an optoelectronic synapse.
Igor Perlikowski, Eunika Zielony, Adrian Kaim, Ewa Przeździecka   +3 more
wiley   +1 more source