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2,819 results on '"Wang, Tai"'

211. Synthetic Antibacterial Quaternary Phosphorus Salts Promote Methicillin-Resistant Staphylococcus aureus-Infected Wound Healing

Author

Shi,Liang-Wen, Zhuang,Quan-Quan, Wang,Tai-Qin, Jiang,Xian-Dong, Liu,Yue, Deng,Jing-Wen, Sun,Huan-Huan, Li,Yi, Li,Hao-Hong, Liu,Ting-Bo, Liu,Jian-Zhi, Shi,Liang-Wen, Zhuang,Quan-Quan, Wang,Tai-Qin, Jiang,Xian-Dong, Liu,Yue, Deng,Jing-Wen, Sun,Huan-Huan, Li,Yi, Li,Hao-Hong, Liu,Ting-Bo, and Liu,Jian-Zhi

Abstract

Liang-Wen Shi,1,* Quan-Quan Zhuang,2,* Tai-Qin Wang,1 Xian-Dong Jiang,3 Yue Liu,4 Jing-Wen Deng,1 Huan-Huan Sun,5 Yi Li,4 Hao-Hong Li,4 Ting-Bo Liu,6 Jian-Zhi Liu1 1Department of Otorhinolaryngology, Fujian Medical University Union Hospital, Fuzhou, Fujian, People’s Republic of China; 2Department of Pharmacy, Affiliated Quanzhou First Hospital of Fujian Medical University, Quanzhou, Fujian, People’s Republic of China; 3Department of laboratory medicine, the School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, Fujian, People’s Republic of China; 4College of Chemistry, Fuzhou University, Fuzhou, Fujian, People’s Republic of China; 5Department of Otolaryngology, Changji Region Hospital of Traditional Chinese Medicine, Changji, Xinjiang, People’s Republic of China; 6Fujian Institute of Hematology, Fujian Provincial Key Laboratory of Hematology, Fujian Medical University Union Hospital, Fuzhou, Fujian, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jian-Zhi Liu, Department of Otorhinolaryngology, Fujian Medical University Union Hospital, Fuzhou, Fujian, People’s Republic of China, Tel/Fax +86-591 83346181, Email liujianzhient@163.com Ting-Bo Liu, Fujian Institute of Hematology, Fujian Provincial Key Laboratory of Hematology, Fujian Medical University Union Hospital, Fuzhou, Fujian, People’s Republic of China, Tel/Fax +86-591 83357896, Email liutingboblood@163.comBackground: Drug-resistant microbes pose a global health concern, requiring the urgent development of effective antibacterial agents and strategies in clinical practice. Therefore, there is an urgent need to explore novel antibacterial materials to effectively eliminate bacteria. The synthesis of quaternary phosphonium salt in haloargentate systems, wherein the phosphorus atom is represented in a cationic form, is a possible strategy for the develo

Published
2023

218. Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding

Author

Liu, Jihao, Wang, Tai, Liu, Boxiao, Zhang, Qihang, Liu, Yu, and Li, Hongsheng

Subjects
FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition
Abstract

Multi-view camera-based 3D detection is a challenging problem in computer vision. Recent works leverage a pretrained LiDAR detection model to transfer knowledge to a camera-based student network. However, we argue that there is a major domain gap between the LiDAR BEV features and the camera-based BEV features, as they have different characteristics and are derived from different sources. In this paper, we propose Geometry Enhanced Masked Image Modeling (GeoMIM) to transfer the knowledge of the LiDAR model in a pretrain-finetune paradigm for improving the multi-view camera-based 3D detection. GeoMIM is a multi-camera vision transformer with Cross-View Attention (CVA) blocks that uses LiDAR BEV features encoded by the pretrained BEV model as learning targets. During pretraining, GeoMIM's decoder has a semantic branch completing dense perspective-view features and the other geometry branch reconstructing dense perspective-view depth maps. The depth branch is designed to be camera-aware by inputting the camera's parameters for better transfer capability. Extensive results demonstrate that GeoMIM outperforms existing methods on nuScenes benchmark, achieving state-of-the-art performance for camera-based 3D object detection and 3D segmentation.

Published
2023

220. Designing Coalescing Network-on-Chip for Efficient Memory Accesses of GPGPUs

Author

Chen, Chien-Ting, Huang, Yoshi Shih-Chieh, Chang, Yuan-Ying, Tu, Chiao-Yun, King, Chung-Ta, Wang, Tai-Yuan, Sang, Janche, Li, Ming-Hua, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Hsu, Ching-Hsien, editor, Shi, Xuanhua, editor, and Salapura, Valentina, editor

Published
2014
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221. Using Swarm Intelligence to Search for Circulant Partial Hadamard Matrices

Author

Phoa, Frederick Kin Hing, Lin, Yuan-Lung, Wang, Tai-Chi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Tan, Ying, editor, Shi, Yuhui, editor, and Coello, Carlos A. Coello, editor

Published
2014
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225. Design and Fabrication of Enzymatic Potentiometric Biosensor Based on Flexible Printed Circuit Board for Glucose Detection

Author

Kuo, Po-Yu, Liao, Chi-Han, Wang, Tai-Hui, and Hsu, Ming-Tai

Abstract

This study investigated the development and optimization of a flexible printed circuit board-based glucose biosensor with an emphasis on high sensitivity, selectivity, and overall performance. Advances in glucose biosensing have highlighted its importance in medical diagnostics, especially diabetes management. The fabrication process involves depositing a RuO2 sensing film on a flexible printed circuit board (FPCB) by radio frequency sputtering. Enzyme-based modification using glucose oxidase (GOx), (3-aminopropyl) triethoxysilane (APTES), and glutaraldehyde (GA) to enhance selectivity and catalytic reactions. And through Scanning Electron Microscopy and electrochemical impedance spectroscopy, the sensing film, and the effect of modification on the charge transfer rate and performance improvement were analyzed. This glucose biosensor has excellent linearity, sensitivity, and reproducibility. The study also assessed response time and selectivity. The response time efficiency of the biosensor solidified its utility in point-of-care monitoring, while selectivity experiments validated its ability to distinguish glucose from interfering substances, ensuring accuracy in practical applications. According to the experimental results, the enzymatic glucose biosensor has the best average sensitivity and linearity of 44.42 mV/mM and 0.999 with a response time of 6 seconds.

Published
2024
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226. The Sensing Analysis of the Potentiometric Enzymatic RuO2 Biosensor Based on FPCB for Dopamine Detection

Author

Kuo, Po-Yu, Hsu, Ming-Tai, Wang, Tai-Hui, and Liao, Chi-Han

Abstract

We present a differential-type enzymatic ruthenium dioxide (RuO2) biosensor designed for dopamine detection, with a focus on its application in wearable devices and flexible electronics. The sensor is based on flexible printed circuit boards (FPCBs) and features a RuO2 thin film as the sensing membrane modified with tyrosinase and Nafion. The RuO2 thin film was fabricated using a radio frequency sputtering system, and the biosensor exhibits exceptional sensitivity, with an average value of 77.58 mV/decade and a limit of detection (LOD) of $0.12~\mu \text{M}$ for dopamine. One of its remarkable features is its selectivity, allowing precise dopamine detection even in the presence of common interfering substances found in urine samples. The practical utility of this biosensor is demonstrated through satisfactory dopamine recovery rates in artificial urine samples, ranging from 92.6% to 94.6%. Overall, our proposed RuO2 biosensor on FPCB offers a promising solution for accurate and selective dopamine detection, with potential applications in wearable devices and flexible electronics.

Published
2024
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241. Application of Non-enzymatic Lactate Sensor Modified by Graphitic Carbon Nitride/Iron–platinum Nanoparticles and Combined with the Low Power Consumption Instrumentation Amplifier and Calibration Readout Circuit

Author

Nien, Yu-Hsun, primary, Kang, Zhi-Xuan, additional, Chou, Jung-Chuan, additional, Yang, Po-Hui, additional, Kuo, Po-Yu, additional, Lai, Chih-Hsien, additional, Dong, Zhe-Xin, additional, Chen, Yung-Yu, additional, Wu, Yi-Ting, additional, Lee, Kun-Tse, additional, and Wang, Tai-Hui, additional

Published
2023
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244. Submassive hepatic necrosis distinguishes HBV-associated acute on chronic liver failure from cirrhotic patients with acute decompensation

Author

Li, Hai, Xia, Qiang, Zeng, Bo, Li, Shu-Ting, Liu, Heng, Li, Qi, Li, Jun, Yang, Shu-Yin, Dong, Xiao-Jun, Gao, Ting, Munker, Stefan, Liu, Yan, Liebe, Roman, Xue, Feng, Li, Qi-Gen, Chen, Xiao-Song, Liu, Qiang, Zeng, Hui, Wang, Ji-Yao, Xie, Qing, Meng, Qin-Hua, Wang, Jie-Fei, Mertens, Peter R., Lammert, Frank, Singer, Manfred V., Dooley, Steven, Ebert, Matthias P.A., Qiu, De-Kai, Wang, Tai-Ling, and Weng, Hong-Lei

Published
2015
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