Cloud-Based Control System with Sensing and Actuating Textile-Based IoT Gloves for Telerehabilitation Applications [0.03%]
基于云的远程康复控制系统用具有一体化传感和执行功能的织物物联网手套
Kadir Ozlem,Cagatay Gumus,Ayse Feyza Yilmaz et al.
Kadir Ozlem et al.
Remote manipulation devices extend human capabilities over vast distances or in inaccessible environments, removing constraints between patients and treatment. The integration of therapeutic and assistive devices with the Internet of Things...
Magnetic Fluid-Driven Vine Robots for Minimally Invasive Tissue Biopsy Sampling [0.03%]
磁流体驱动的微创组织活检采样藤本机器人
Joshua Davy,Thomas P Dean,Nikita J Greenidge et al.
Joshua Davy et al.
There is a growing need for precise, minimally invasive biopsy techniques that reduce patient discomfort, improve sampling accuracy in hard-to-reach areas, and minimize tissue damage. Vine robots, a type of continuum robot, offer a promisin...
Toward Autonomous Self-Healing in Soft Robotics: A Review and Perspective for Future Research [0.03%]
软体机器人自主自愈的研究进展与未来展望综述
Seyedreza Kashef Tabrizian,Seppe Terryn,Bram Vanderborght
Seyedreza Kashef Tabrizian
Recent advances in dynamic and reversible polymer networks have led to self-healing soft robots that can restore their physical and electrical properties after damage. However, in most cases, human intervention remains essential for the hea...
High-Throughput Nanorheology of Living Cells Powered by Supervised Machine Learning [0.03%]
基于监督机器学习的活细胞高通量纳流变学研究
Jaime R Tejedor,Ricardo Garcia
Jaime R Tejedor
Atomic force microscopy (AFM) is extensively applied to measure the nanomechanical properties of living cells. Despite its popularity, some applications on mechanobiology are limited by the low throughput of the technique. Currently, the an...
MedVH: Toward Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context [0.03%]
MedVH：面向医学情境的大规模视觉语言模型系统性错误评估
Zishan Gu,Jiayuan Chen,Fenglin Liu et al.
Zishan Gu et al.
Large vision language models (LVLMs) have achieved superior performance on natural image and text tasks, inspiring extensive fine-tuning research. However, their robustness against hallucination in clinical contexts remains understudied. We...
Assessing Large Multimodal Models for One-Shot Learning and Interpretability in Biomedical Image Classification [0.03%]
评估大型多模态模型在生物医学图像分类中的一次学习和可解释性
Wenpin Hou,Qi Liu,Huifang Ma et al.
Wenpin Hou et al.
Image classification plays a pivotal role in analyzing biomedical images, serving as a cornerstone for both biological research and clinical diagnostics. It is demonstrated that large multimodal models (LMMs), like GPT-4, excel in one-shot ...
SuperResNET: Model-Free Single-Molecule Network Analysis Software Achieves Molecular Resolution of Nup96 [0.03%]
超分辨率网络分析软件SuperResNET实现Nup96的分子分辨率分析
Yahongyang Lydia Li,Ismail M Khater,Christian Hallgrimson et al.
Yahongyang Lydia Li et al.
SuperResNET is an integrated machine learning-based analysis software for visualizing and quantifying 3D point cloud data acquired by single-molecule localization microscopy (SMLM). SuperResNET computational modules include correction for m...
Long-Distance Autonomous Navigation of Optical Microrobotic Swarms in Complex Environments [0.03%]
复杂环境中光微机器人集群远程自主导航技术
Zhihan Chen,Siyuan Huang,Yuebing Zheng
Zhihan Chen
The local force field generated by light endows optical microrobots with remarkable flexibility and adaptivity, promising significant advancements in precise medicine and cell transport. Nevertheless, the automated navigation of multiple op...
Coil Formation and Biomimetic Performance Characterization of Twisted Coiled Polymer Artificial Muscles [0.03%]
螺旋聚合物人工肌肉的卷绕成型及其仿生性能表征
Nicholas S Witham,Johannes Mersch,Lukas Selzer et al.
Nicholas S Witham et al.
Objective: A biological muscle's force is nonlinearly constrained by its current state (force, length, and speed) and state history. To investigate if artificial muscles can mimic the complete mechanical state spectrum of...
Rodney LaLonde,Naji Khosravan,Ulas Bagci
Rodney LaLonde
Capsule networks promise significant benefits over convolutional networks by storing stronger internal representations, and routing information based on the agreement between intermediate representations' projections. Despite this, their su...