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226 results on '"Yu, Huiying"'

51. Application of Wearable Miniature Non-invasive Sensory System in Human Locomotion Using Soft Computing Algorithm

Author

Alaqtash, Murad, Yu, Huiying, Brower, Richard, Abdelgawad, Amr, Spier, Eric, Sarkodie-Gyan, Thompson, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., 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, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Liu, Honghai, editor, Ding, Han, editor, Xiong, Zhenhua, editor, and Zhu, Xiangyang, editor

Published
2010
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66. Genome‐wide association study identifies 7q11.22 and 7q36.3 associated with noise‐induced hearing loss among Chinese population

Author

Niu, Yuguang, primary, Xie, Chengyong, additional, Du, Zhenhua, additional, Zeng, Jifeng, additional, Chen, Hongxia, additional, Jin, Liang, additional, Zhang, Qing, additional, Yu, Huiying, additional, Wang, Yahui, additional, Ping, Jie, additional, Yang, Chenning, additional, Liu, Xinyi, additional, Li, Yuanfeng, additional, and Zhou, Gangqiao, additional

Published
2020
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81. Efficacy and safety analysis on dendritic cell-based vaccine-treated high-grade glioma patients: a systematic review and meta-analysis

Author

Li,Changling, Liu,Ting, Zhou,Bo, Zhou,Yubin, Yu,Huiying, Sun,Yun, Li,Changling, Liu,Ting, Zhou,Bo, Zhou,Yubin, Yu,Huiying, and Sun,Yun

Abstract

Changling Li,1,* Ting Liu,2,* Bo Zhou,3 Yubin Zhou,4 Huiying Yu,1 Yun Sun21Department of Experimental Medicine, Northern Hospital, Shenyang 110016, China; 2Department of General Practice, The Second Hospital of Dalian Medical University, Dalian 116023, China; 3Department of Clinical Epidemiology and Evidence-based Medicine, The First Affiliated Hospital, China Medical University, Shenyang 110001, China; 4Department of Oncology, The People’s Hospital of China Medical University, Shenyang 110015, China*These authors contributed equally to this work Background: Dendritic cell (DC)-based vaccine is a promising therapy for high-grade gliomas (HGGs); however, its actual effectiveness still remains controversial. This meta-analysis aims to extensively evaluate the efficacy and safety of DC vaccine for HGG patients.Methods: We systematically searched PubMed, the Cochrane Library, EMBASE, Medline, and Web of Science for relevant parallel randomized controlled trials (RCTs) and properly controlled non-randomized studies (NRS) published in English. Two investigators reviewed all the texts and extracted information regarding overall survival (OS), progression-free survival (PFS), and adverse events (AEs) from eligible studies. Sensitivity analyses and subgroup analyses were also conducted.Results: Of 353 suitable studies, 13 studies (three RCTs and ten NRS) involving 944 patients were finally included. Compared to the control therapy group (CT group), the DC group showed better OS and PFS without serious AEs. Subgroup analysis showed that trials designed as NRS obtained better results in the DC group in this study; however, no specific subgroup regarding dosages, cycles or injection routes was found to be superior in the DC group compared to the CT group.Conclusion: DC vaccine can significantly improve OS and PFS, with acceptable toxicity, of HGG patients. Nevertheless, further studies are needed to verify this conclusion. Keywords: dendritic cell, vaccine, glioblasto

Published
2018

82. Genome‐wide association study identifies 7q11.22 and 7q36.3 associated with noise‐induced hearing loss among Chinese population.

Author

Niu, Yuguang, Xie, Chengyong, Du, Zhenhua, Zeng, Jifeng, Chen, Hongxia, Jin, Liang, Zhang, Qing, Yu, Huiying, Wang, Yahui, Ping, Jie, Yang, Chenning, Liu, Xinyi, Li, Yuanfeng, and Zhou, Gangqiao

Subjects
NOISE-induced deafness, CHINESE people, SINGLE nucleotide polymorphisms, QUALITY of life
Abstract

Noise‐induced hearing loss (NIHL) seriously affects the life quality of humans and causes huge economic losses to society. To identify novel genetic loci involved in NIHL, we conducted a genome‐wide association study (GWAS) for this symptom in Chinese populations. GWAS scan was performed in 89 NIHL subjects (cases) and 209 subjects with normal hearing who have been exposed to a similar noise environment (controls), followed by a replication study consisting of 53 cases and 360 controls. We identified that four candidate pathways were nominally significantly associated with NIHL, including the Erbb, Wnt, hedgehog and intraflagellar transport pathways. In addition, two novel index single‐nucleotide polymorphisms, rs35075890 in the intron of AUTS2 gene at 7q11.22 (combined P = 1.3 × 10−6) and rs10081191 in the intron of PTPRN2 gene at 7q36.3 (combined P = 2.1 × 10−6), were significantly associated with NIHL. Furthermore, the expression quantitative trait loci analyses revealed that in brain tissues, the genotypes of rs35075890 are significantly associated with the expression levels of AUTS2, and the genotypes of rs10081191 are significantly associated with the expressions of PTPRN2 and WDR60. In conclusion, our findings highlight two novel loci at 7q11.22 and 7q36.3 conferring susceptibility to NIHL. [ABSTRACT FROM AUTHOR]

Published
2021
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90. Projective distribution entropy and point clouds mosaic algorithm

Author

Lu Min, Tan Zhiguo, Guo Yulan, Zuo Chao, and Yu Huiying

Subjects
Iterative method, business.industry, Coordinate system, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Point cloud, Iterative closest point, Object detection, Lidar, Entropy (information theory), Computer vision, Data pre-processing, Artificial intelligence, business, Algorithm, Mathematics
Abstract

The multi-view point clouds mosaic is an important technology in ladar data preprocessing, and it is also an open problem in 3D information processing. In the paper, a projective distribution entropy based point clouds mosaic algorithm is proposed. First, a unique coordinate system is used to estimate the space transformation between the multi-view point clouds, and to perform the coarse mosaic. Second, the Iterative Closest Point (ICP) method is applied for the fine mosaic. In order to enhance the robustness of the ICP method, the deterministic annealing algorithm is used. Experiments on complex point clouds demonstrated that the algorithm was reliable and effective.

Published
2012

93. MEMS gyro signal de-noising method based on extended recursive least square

Author

WU Mei-ping, Yu Huiying, Hu Xiaoping, Qin Haili, and He Xiaofeng

Subjects
Units of measurement, Engineering, Forgetting, Control theory, Robustness (computer science), business.industry, Vibrating structure gyroscope, Kalman filter, Mechatronics, Time series, business, Electronic mail
Abstract

This paper discusses the design of extended recursive least square method based on time series analysis in order to overcome large noise and low precision of MEMS gyro. The method adopts the forgetting factor-based recursive least square which can work well even with uncertain noises. Firstly, ARMA models are used to model gyro random drifts. Secondly, variable forgetting factors enhance the robustness of extended recursive least square approach. Some experiments are carried out and the results show that the proposed method advances the performance of MEMS gyro signal de-noising. It gains better accuracy and better robustness than traditional Kalman filter.

Published
2008

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