Results 221 to 230 of about 7,113 (299)

SUANPAN: scalable photonic linear vector machine. [PDF]

Light Sci Appl
Yang Z, Li C, Ran Y, Li Y, Feng X, Cui K, Liu F, Sun H, Zhang W, Ye Y, Qiao F, Wang J, Ning CZ, Chang-Hasnain CJ, Huang Y.   +14 more
europepmc   +1 more source

Gait Analysis of Pak Biawak: A Necrobot Lizard Built using the Skeleton of an Asian Water Monitor (Varanus Salvator)

Advanced Robotics Research, EarlyView.
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds, Donan Satria Yudha, Parvez Alam   +2 more
wiley   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

Unveiling solitonic collisions in mechanical metamaterials. [PDF]

Sci Adv
Miyazawa Y, Chong C, Kevrekidis PG, Yang J.   +3 more
europepmc   +1 more source

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

Advanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

Trend prediction method for capacitive voltage transformer measurement deterioration based on double Gaussian model-KAN fusion. [PDF]

Sci Rep
Du B, Diao Y, Zhou F, Yin X, Yang S.
europepmc   +1 more source

GPR124 Alleviates Blood–Brain Barrier Disruption by Enhancing Microvascular Endothelial Function after Traumatic Brain Injury

Advanced Science, EarlyView.
Our study reveals the protective role of GPR124 in maintaining BBB integrity and promoting neurological recovery following TBI. It makes a significant contribution by uncovering a novel molecular interaction between GPR124 and FGFBP1 and linking this to activation of the Wnt/β‐catenin signaling pathway in vascular repair mechanisms.
Chen Wang, Lin Cai, Qiuyuan Gong, Yang Yang, Yuqing Liang, Xinyu Niu, Lai Wei, Ze Liu, Shengju Wu, Yinghui Men, Yaohui Tang, Jun Ding, Hengli Tian, Hao Chen   +13 more
wiley   +1 more source

Joint power-time resource optimization for multi-tag RFID wireless power transfer via model predictive control and ADMM. [PDF]

PLoS One
Yuan L, Wang X, Chen H, Wang Y.
europepmc   +1 more source

Targeting UXS1‐Dependent Glucuronate Detoxification Potentiates Metformin's Anti‐Tumor Efficacy in Lung Adenocarcinoma

Advanced Science, EarlyView.
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, Zhencong Chen, Guangyao Shan, Zhengyang Hu, Xing Jin, Jiaqi Liang, Yanjun Yi, Jiacheng Yin, Haochun Shi, Xifei Jiang, Junjie Xi, Zongwu Lin, Cheng Zhan, Fenghao Sun, Wei Jiang   +14 more
wiley   +1 more source

Development of digital hardware for a spiking image recognition network employing a novel burst-based reinforcement learning approach. [PDF]

Sci Rep
Nazari S, Amiri M.
europepmc   +1 more source