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321 results on '"Meng, Fansheng"'

19. Seismic Stability Analysis of High Steep Slopes Considering Spatial Variability of Geo-Materials Based on Pseudo Static Method

Author

Zhang, Wengang, Meng, Fansheng, Li, Jianxin, He, Changjie, Ansal, Atilla, Series Editor, Bommer, Julian, Editorial Board Member, Bray, Jonathan D., Editorial Board Member, Pitilakis, Kyriazis, Editorial Board Member, Yasuda, Susumu, Editorial Board Member, Wang, Lanmin, editor, Zhang, Jian-Min, editor, and Wang, Rui, editor

Published
2022
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21. Research on Regional Development Efficiency and Influencing Factors of China’s Ocean Energy Equipment Manufacturing

Author

Ma, Ruhao, Du, Haiwen, Meng, Fansheng, Zhu, Dongjie, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sun, Xingming, editor, Zhang, Xiaorui, editor, and Xia, Zhihua, editor

Published
2022
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24. Microstructure and mechanical properties of Al-Cu alloy with 0.6%Fe produced with ultrasonic vibration and applied pressure

Author

Zhao, Yuliang, Zhang, Weiwen, Meng, Fansheng, Zhang, Datong, Yang, Chao, and Xiao, Zhiyu

Subjects
Condensed Matter - Materials Science
Abstract

The combined effect of ultrasonic vibration (UT) and applied pressure (P) on microstructure and mechanical properties of Al-5.0Cu-0.6Mn-0.6Fe alloy were investigated. The best tensile properties produced by P+UT processing are UTS: 268MPa, YS: 192MPa, E.L.: 17.1%, respectively, which increasing by 64%, 59% and 307%, respectively, compare to the Non-treated alloy.

Published
2018

31. Application of CG Pseudo-spectral Method to Optimal Posture Adjustment of Robot Manipulator

Author

Shi, Qingxin, Li, Jianwu, Dong, Junjie, Meng, Fansheng, Ma, Rui, Lai, Quanbin, Duan, Xingguang, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Xin-Jun, editor, Nie, Zhenguo, editor, Yu, Jingjun, editor, Xie, Fugui, editor, and Song, Rui, editor

Published
2021
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33. Performance-Enhanced Piezoelectric Micromachined Ultrasonic Transducers by PDMS Acoustic Lens Design.

Author

Jia, Licheng, Liang, Yong, Meng, Fansheng, Zhang, Guojun, Wang, Renxin, He, Changde, Yang, Yuhua, Cui, Jiangong, Zhang, Wendong, and Wu, Guoqiang

Subjects
ACOUSTIC transducers, ULTRASONIC transducers, SOUND design, HYDROPHONE, TRANSDUCERS, POLYDIMETHYLSILOXANE
Abstract

This paper delves into enhancing the performance of ScAlN-based Piezoelectric Micromachined Ultrasonic Transducers (PMUTs) through the implementation of Polydimethylsiloxane (PDMS) acoustic lenses. The PMUT, encapsulated in PDMS, underwent thorough characterization through the utilization of an industry-standard hydrophone calibration instrument. The experimental results showed that the ScAlN-based PMUT with the PDMS lenses achieved an impressive sensitivity of −160 dB (re: 1 V/μPa), an improvement of more than 8 dB compared to the PMUT with an equivalent PDMS film. There was a noticeable improvement in the −3 dB main lobe width within the frequency response when comparing the PMUT with PDMS encapsulation, both with and without lenses. The successful fabrication of high-performance PDMS lenses proved instrumental in significantly boosting the sensitivity of the PMUT. Comprehensive performance evaluations underscored that the designed PMUT in this investigation surpassed its counterparts reported in the literature and commercially available transducers. This encouraging outcome emphasizes its substantial potential for commercial applications. [ABSTRACT FROM AUTHOR]

Published
2024
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40. 椭圆氧化孔径垂直腔面发射激光器的偏振特性

Author

Xie Zhonghua, 谢中华, primary, Qu Hongwei, 渠红伟, additional, Zhou Xuyan, 周旭彦, additional, Zhang Jianxin, 张建心, additional, Sui Jiatong, 隋佳桐, additional, Meng Fansheng, 孟凡胜, additional, Gong Kai, 宫凯, additional, Zheng Meiyin, 郑妹茵, additional, Wang Hailing, 王海玲, additional, Wang Yufei, 王宇飞, additional, and Qi Aiyi, 齐爱谊, additional

Published
2024
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41. Research on Acoustic Impedance Matching Method of CMUT Sensor Based on PDMS/BN Particles

Author

Jia, Licheng, Liang, Yong, Meng, Fansheng, Wang, Zhihao, Zhang, Guojun, Wang, Renxin, He, Changde, Yang, Yuhua, Cui, Jiangong, and Zhang, Wendong

Abstract

In this article, we propose an improved bandwidth matching layer using boron nitride/polydimethy- lsiloxane (BN/PDMS) 0–3 composites to achieve superior electrical insulation and transmission performance for underwater capacitive micromachined ultrasonic transducer (CMUT) sensor. This innovation addresses the limitations of traditional quarter-wavelength micromechanical ultrasonic transducers (MUTs) in meeting the demanding broadband CMUT matching requirements. To effectively encapsulate CMUT sensor, we use BN/PDMS 0–3 composite material with a volume concentration of 16.9%, which closely matches the acoustic impedance of water. The properties of the 0–3 composites are analyzed using the Reuss model, followed by the preparation of composites with varying concentrations and rigorous testing of their acoustic impedance. The experimental results indicate that despite an 8-dB reduction in signal amplitude in seawater after encapsulation, the original curve trend of the CMUT sensor device remains unchanged. The bandwidth increased from 28.38% to 31.63%, representing an 11.45% increase. The −6 dB beamwidth before and after encapsulation is 5°, while the maximum sidelobe level is recorded as −15.89 dB (3°) and −22.19 dB (3°), respectively. At this volume fraction, BN/PDMS 0–3 composites effectively reduce sidelobe interference, emphasizing their importance. The outstanding matching performance of 0–3 composite materials provides CMUT sensors with a significant advantage in underwater detection systems, ensuring the reliability of ultrasonic imaging.

Published
2024
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49. An OAuth2.0-Based Unified Authentication System for Secure Services in the Smart Campus Environment

Author

Gao, Baozhong, Liu, Fangai, Du, Shouyan, Meng, Fansheng, 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, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Shi, Yong, editor, Fu, Haohuan, editor, Tian, Yingjie, editor, Krzhizhanovskaya, Valeria V., editor, Lees, Michael Harold, editor, Dongarra, Jack, editor, and Sloot, Peter M. A., editor

Published
2018
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50. Identification of SGMS2 as a molecule involved in natural killer cell recruitment and its in‐deep analysis in the liver cancer microenvironment: Evidence from large populations cohort.

Author

Tang, Wenqing, Meng, Fansheng, Li, Miao, Li, Yuqin, Xiong, Wujun, Zhang, Danying, and Yang, Biwei

Abstract

Background: Liver cancer, a common malignancy within the digestive system, presents with a particularly grim prognosis. Within the immune microenvironment, the role of natural killer (NK) cells in liver cancer remains unclear. Methods: We sourced data on clinical parameters and gene expressions for liver cancer patients from The Cancer Genome Atlas Program database and carried out all analyses using R software and its relevant codes. Results: In our research, we delved into the genes intertwined with NK cells in hepatocellular carcinoma (HCC). Leveraging the QUANTISEQ and MCPCOUNTER algorithms to quantify NK cells, we spotlighted genes vital to the recruitment of NK cells. Among these genes, GDE1, WDFY3, DNAJB14, PKD2, DGAT2, SGMS2 and MKNK2 showed a strong correlation with patient outcomes. We also mapped out the single‐cell expression trajectories of these genes within the HCC milieu. From our findings, SGMS2 emerged as a key gene warranting further scrutiny. Our in‐depth analysis of SGMS2 shed light on its influence over specific biological pathways, its contribution to the immune landscape and its role in genomic instability within HCC. Drawing from this, we formulated a predictive model rooted in SGMS2‐associated genes. This model showcased remarkable precision across both training and validation cohorts. Conclusions: Overall, our investigation underscored the profound implications of SGMS2, a gene pivotal to NK cell infiltration, in the landscape of HCC, thereby positioning it as a potential linchpin in oncological strategies. [ABSTRACT FROM AUTHOR]

Published
2024
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