Results 81 to 90 of about 11,295 (259)
Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics
Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won +5 more
wiley +1 more source
Strategic Design of Soft Actuators in Translational Medical Robotics for Human‐Centered Healthcare
Soft robotics enables biocompatible, compliant medical devices, but clinical translation requires design‐driven engineering beyond materials. This perspective reviews implantable, surgical, and wearable systems by actuation mechanism, highlighting how optimized architectures and integration improve mechanical interfacing, adaptability, and durability ...
Ho Jun Jin +3 more
wiley +1 more source
We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li +5 more
wiley +1 more source
This study reveals that metformin promotes glucuronic acid metabolism in lung adenocarcinoma by activating UGDH S476 phosphorylation and enhancing the conversion of UDPG to UDPGA based on metabolomics analysis. Through compound virtual screening, it is found that plantainoside targeting UGDH downstream UXS1 leads to UDPGA toxicity accumulation ...
Qihai Sui +14 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
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
A Virtual Machine Placement Strategy Based on Virtual Machine Selection and Integration [PDF]
Denghui Zhang, Guocai Yin
openaire +1 more source
When a master transcription factor (TF) is lost, bacteria can rapidly rewire gene regulatory networks by co‐opting related regulators. Using experimental evolution in Pseudomonas fluorescens, we show that TF promiscuity (low‐level, non‐cognate binding) provides the raw material for rewiring. Successful co‐option follows a predictable hierarchy governed
Tiffany B. Taylor, Alan M. Rice
wiley +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
A hybrid evolutionary framework for efficient IoT task scheduling in fog computing
This paper proposes an innovative, hybrid approach to task scheduling and virtual machine (VM) placement in fog computing environments that aims to optimize energy efficiency and task completion for Internet of Things (IoT) applications.
Lianhe Cui
doaj +1 more source

