Results 61 to 70 of about 150,052 (279)
Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations
Liquid crystalline elastomers (LCEs) are programmable soft materials that undergo large, anisotropic deformation in response to external stimuli. Their molecular alignment encodes directional actuation in a monolithic structure, making them long‐standing candidates for soft robotic systems.
Justin M. Speregen, Timothy J. White
wiley +1 more source
Le carnet correspond à une série pluri-annuelle de colloques organisés par le CEGIL (Lorraine), le labex ENHE, la Freie Universität de Berlin et d'autres partenaires.
Nicolas Patin
core
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Citoyenneté et propagande : confrontation groupale [PDF]
Les utilisateurs du présent outil sont susceptibles de se définir comme acteurs d’éducation permanente, c’est-à-dire comme citoyens, responsables, actifs, critiques, solidaires.
De Visscher, Pierre
core +1 more source
Los campesinos que habitaban el pueblo de Los Ángeles, Sonora, junto a una antigua fábrica textil, en las inmediaciones del río San Miguel, se apropiaron de pequeños espacios del árido territorio material colindante con la manufactura.
Esther Padilla Calderón
doaj
Safety of political communication in modern Russia
The article analyzes transformation of the new threat in the information area. The author requests for discussion the various models of information security of Russia in the modern world.
Morozov Ilya Leonidovich
doaj +1 more source
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
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
In Confrontation Control, Pamela R. Metzger explores how courts and prosecutors have adapted to the Supreme Court’s revitalization of the Confrontation Clause in Crawford v. Washington and its progeny.
Metzger, Pamela R.
core
Adult Sex Ratio as a Demographic Feedback Linking Mating Systems, Parental Care, and Evolution
Breeding systems are some of the most diverse social behavior, and our team is investigation the evolutionary causes of this diversity. This review summarises our research carried out at the University of Bath. We argue that demographic components of wild populations, especially the adult sex ratio, plays a key role driving breeding system variation ...
Tamás Székely, Oscar G. Miranda
wiley +1 more source

