Results 131 to 140 of about 125,363 (297)
Phase Behavior and Thermodynamic Model Parameters in Simulations of Extractive Distillation for Azeotrope Separation. [PDF]
Li M +6 more
europepmc +1 more source
Comparing Fabry–Perot and plasmonic nanorod cavities reveals how the number of dark states dictates polariton relaxation. The high number of dark states results in a polaritonic bottleneck, while reducing the number of dark states enables to measure the polaritonic decay.
Nicola Peruffo +5 more
wiley +1 more source
A Heuristic for extractive agent flow rate in extractive distillation
Distillation is the most widely used separation process for liquids separation in the industry. Even when the volatilities of the mixture are not favorable, then enhanced distillation is used.
Bonet Ruiz, Alexandra +5 more
core
Contested Consultations in the Extractive Industries
This volume examines how communities, companies, and governments contest and contribute to the evolution of norms, rules and decision-making procedures that govern stakeholder consultation in the extractive industries.
core +1 more source
Criterion of choosing potential entrainers for extractive distillation
Criterion of formation of possible entrainers set for extractive distillation process of binary mixtures containing minimum boiling azeotrope has been developed.
V. M. Raeva +3 more
doaj
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
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
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
A regenerative strategy for stroke combines human stem cell–derived neural progenitor cells with sustained release of a matrix‐modifying, thermostable chondroitinase ABC‐37 enzyme. In a rat model of stroke, co‐delivery enhanced transplanted cell survival and neuronal differentiation, degraded inhibitory extracellular matrix components, and improved ...
Nitzan Letko Khait +7 more
wiley +1 more source

