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31,623 results on '"Wei, Ping"'

201. Association between telomere length in the DNA of peripheral blood leukocytes and the propofol dose in anesthesia induction: an observational study

Author

Yan Xu, Chuang Bo Xie, Jing Yang, Yong Ji Xing, Wei Ping Xia, Yang Liu, Wen Bin Xi, Zhao Ju Li, Wei Feng Tu, and Jun Long Zhang

Subjects
Telomere length, Propofol dose, Anesthesia safety, Perioperative complications, Anesthesiology, RD78.3-87.3
Abstract

Introduction: Propofol is a widely used anesthetic and its dose is closely related to aging. Telomere length (TL) is a unique heritable trait, and emerging as a biomarker of aging, health and disease. Telomerase RNA component (TERC) plays an important role in maintaining TL. We proposed a hypothesis that propofol dose in general anesthesia can be predicted by measuring TL before operation, which greatly reduced the risk of anesthesia, especially the elderly. Methods: The association between the propofol dose in anesthesia induction and: TL in the DNA of peripheral blood leukocytes; body weight; sex; difference of the Bispectral Index (BIS) before and after anesthesia induction in patients was evaluated by multivariable linear regression analyses. The mutation at the 5'end or 3'end of TERC was detected. We recruited 100 patients of elective surgery. Results: We found that propofol dose in anesthesia induction was clearly correlated significantly with TL (r = 0.78, p < 0.001), body weight (r = 0.84, p = 0.004), sex (r = 0.83, p= 0.84, p = 0.004), sex (r = 0.83, p = 0.004), and difference of BIS before and after anesthesia induction (r = 0.85, p = 0.029). By comparing the absolute values of standardized regression coefficients (0.58, 0.21, 0.19, and 0.12) of the four variables, it can be seen that TL contributes the most to the propofol dose in anesthesia induction. However, the mutation at the 5' end or 3' end of TERC was not found. Conclusions: These findings provide preliminary evidence that the propofol dose in anesthesia induction was clearly correlated with genetically determined TL. TL may be a promising predictor of the propofol dose, which is beneficial to improve the safety of anesthesia and reduce perioperative complications.

Published
2023
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202. SRSF2 is required for mRNA splicing during spermatogenesis

Author

Wen-Long Lei, Zongchang Du, Tie-Gang Meng, Ruibao Su, Yuan-Yuan Li, Wenbo Liu, Si-Min Sun, Meng-Yu Liu, Yi Hou, Chun-Hui Zhang, Yaoting Gui, Heide Schatten, Zhiming Han, Chenli Liu, Fei Sun, Zhen-Bo Wang, Wei-Ping Qian, and Qing-Yuan Sun

Subjects
SRSF2, Male infertility, Spermatogenesis, Alternative splicing, LACE-seq, Biology (General), QH301-705.5
Abstract

Abstract Background RNA splicing plays significant roles in fundamental biological activities. However, our knowledge about the roles of alternative splicing and underlying mechanisms during spermatogenesis is limited. Results Here, we report that Serine/arginine-rich splicing factor 2 (SRSF2), also known as SC35, plays critical roles in alternative splicing and male reproduction. Male germ cell-specific deletion of Srsf2 by Stra8-Cre caused complete infertility and defective spermatogenesis. Further analyses revealed that deletion of Srsf2 disrupted differentiation and meiosis initiation of spermatogonia. Mechanistically, by combining RNA-seq data with LACE-seq data, we showed that SRSF2 regulatory networks play critical roles in several major events including reproductive development, spermatogenesis, meiotic cell cycle, synapse organization, DNA recombination, chromosome segregation, and male sex differentiation. Furthermore, SRSF2 affected expression and alternative splicing of Stra8, Stag3 and Atr encoding critical factors for spermatogenesis in a direct manner. Conclusions Taken together, our results demonstrate that SRSF2 has important functions in spermatogenesis and male fertility by regulating alternative splicing.

Published
2023
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204. Correction: “The 5th edition of The World Health Organization Classification of Haematolymphoid Tumours: Lymphoid Neoplasms” Leukemia. 2022 Jul;36(7):1720–1748

Author

Alaggio, Rita, Amador, Catalina, Anagnostopoulos, Ioannis, Attygalle, Ayoma D., de Oliveira Araujo, Iguaracyra Barreto, Berti, Emilio, Bhagat, Govind, Borges, Anita Maria, Boyer, Daniel, Calaminici, Mariarita, Chadburn, Amy, Chan, John K. C., Cheuk, Wah, Chng, Wee-Joo, Choi, John K., Chuang, Shih-Sung, Coupland, Sarah E., Czader, Magdalena, Dave, Sandeep S., de Jong, Daphne, Di Napoli, Arianna, Du, Ming-Qing, Elenitoba-Johnson, Kojo S., Ferry, Judith, Geyer, Julia, Gratzinger, Dita, Guitart, Joan, Gujral, Sumeet, Harris, Marian, Harrison, Christine J., Hartmann, Sylvia, Hochhaus, Andreas, Jansen, Patty M., Karube, Kennosuke, Kempf, Werner, Khoury, Joseph, Kimura, Hiroshi, Klapper, Wolfram, Kovach, Alexandra E., Kumar, Shaji, Lazar, Alexander J., Lazzi, Stefano, Leoncini, Lorenzo, Leung, Nelson, Leventaki, Vasiliki, Li, Xiao-Qiu, Lim, Megan S., Liu, Wei-Ping, Louissaint, Jr, Abner, Marcogliese, Andrea, Medeiros, L. Jeffrey, Michal, Michael, Miranda, Roberto N., Mitteldorf, Christina, Montes-Moreno, Santiago, Morice, William, Nardi, Valentina, Naresh, Kikkeri N., Natkunam, Yasodha, Ng, Siok-Bian, Oschlies, Ilske, Ott, German, Parrens, Marie, Pulitzer, Melissa, Rajkumar, S. Vincent, Rawstron, Andrew C., Rech, Karen, Rosenwald, Andreas, Said, Jonathan, Sarkozy, Clémentine, Sayed, Shahin, Saygin, Caner, Schuh, Anna, Sewell, William, Siebert, Reiner, Sohani, Aliyah R., Suzuki, Ritsuro, Tooze, Reuben, Traverse-Glehen, Alexandra, Vega, Francisco, Vergier, Beatrice, Wechalekar, Ashutosh D., Wood, Brent, Xerri, Luc, and Xiao, Wenbin

Published
2023
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228. A simulation study of a windowless gas stripping room in an E//B neutral particle analyzer

Author

Luo, Yuan, Lin, Wei-Ping, Ren, Pei-Pei, Qu, Guo-Feng, Zhu, Jing-Jun, Liu, Xing-Quan, Luo, Xiao-Bing, An, Zhu, Wada, Roy, Zang, Lin-Ge, Qu, Yu-Fan, and Shi, Zhong-Bing

Subjects
Physics - Instrumentation and Detectors
Abstract

Neutral Particle Analyzer (NPA) is one of the crucial diagnostic devices on Tokamak facilities. Stripping unit is one of the main parts of the NPA. A windowless gas stripping room with two differential pipes is adopted in a parallel direction of electric and magnetic fields (E//B) NPA. The pressure distributions in the stripping chamber are simulated by Ansys Fluent together with MolFlow+. Based on the pressure distributions extracted from the simulation, the stripping efficiency of the E//B NPA is studied with GEANT4. The hadron reaction physics is modified to track the charge state of each particle in a cross section base method in GEANT4. The transmission rates ($R$) and the stripping efficiencies $f_{+1}$ are examined for the particle energy ranging from 20 to 200 keV at the input pressure ($P_0$) ranging from 20 to 400 Pa. According to the combined global efficiency, $R \times f_{+1}$, $P_0$ = 240 Pa is obtained as the optimum pressure for the maximum global efficiency in the incident energy range investigated., Comment: 7 pages, 11 figures

Published
2021

229. Outage Constrained Robust Secure Beamforming in Cognitive Satellite-Aerial Networks

Author

Zhao, Bai, Lin, Min, Cheng, Ming, Zhu, Wei-Ping, and Al-Dhahir, Naofal

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

This paper proposes a robust beamforming scheme to enhance the physical layer security (PLS) of multicast transmission in a cognitive satellite and aerial network (CSAN) operating in the millimeter wave frequency band. Based on imperfect channel state information (CSI) of both eavesdroppers (Eves) and primary users (PUs), we maximize the minimum achievable secrecy rate (ASR) of the secondary users (SUs) in the aerial network under the constraints of the interference to the PUs in the satellite network, the quality of service (QoS) requirements of the SUs and per-antenna power budget of the aerial platform. To tackle this mathematically intractable problem, we first introduce an auxiliary variable and outage constraints to simplify the complex objective function. We then convert the non-convex outage constraints into deterministic forms and adopt penalty function approach to obtain a semi-definite problem such that it can be solved in an iterative fashion. Finally, simulation results show that with the transmit power increase, the minimal ASR of SUs obtained from the proposed BF scheme well approximate the optimal value.

Published
2021

230. Robust Beamforming for Enhancing Security in Multibeam Satellite Systems

Author

Zhang, Jian, Lin, Min, Ouyang, Jian, Zhu, Wei-Ping, and de Cola, Tomaso

Subjects
Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
Abstract

This paper proposes a robust beamforming (BF) scheme to enhance physical layer security (PLS) of the downlink of a multibeam satellite system in the presence of either uncoordinated or coordinated eavesdroppers (Eves). Specifically, with knowing only the approximate locations of the Eves, we aim at maximizing the worst-case achievable secrecy rate (ASR) of the legitimate user (LU), subject to the constraints of per-antenna transmit power and quality of service (QoS) requirement of the LU. Since the optimization problem is non-convex, we first adopt the discretization method to deal with the unknown regions of the Eves and then exploit the log-sum-exp function to approximate the objective function. Afterwards, a BF method joint alternating direction method of multipliers (ADMM) with Dinkelbach iteration is presented to solve this non-convex problem. Finally, simulation results verify that our robust BF algorithm can effectively improve the security of multibeam satellite systems.

Published
2021

232. TSTNN: Two-stage Transformer based Neural Network for Speech Enhancement in the Time Domain

Author

Wang, Kai, He, Bengbeng, and Zhu, Wei-Ping

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Machine Learning, Computer Science - Sound, Electrical Engineering and Systems Science - Signal Processing
Abstract

In this paper, we propose a transformer-based architecture, called two-stage transformer neural network (TSTNN) for end-to-end speech denoising in the time domain. The proposed model is composed of an encoder, a two-stage transformer module (TSTM), a masking module and a decoder. The encoder maps input noisy speech into feature representation. The TSTM exploits four stacked two-stage transformer blocks to efficiently extract local and global information from the encoder output stage by stage. The masking module creates a mask which will be multiplied with the encoder output. Finally, the decoder uses the masked encoder feature to reconstruct the enhanced speech. Experimental results on the benchmark dataset show that the TSTNN outperforms most state-of-the-art models in time or frequency domain while having significantly lower model complexity., Comment: 5 pages, 4 figures, accepted by IEEE ICASSP 2021

Published
2021

233. Bit Error Rate Analysis for Reconfigurable Intelligent Surfaces with Phase Errors

Author

Trigui, Iméne, Agbogla, Edouard Komi, Benjillali, Mustapha, Ajib, Wessam, and Zhu, Wei-Ping

Subjects
Computer Science - Information Theory
Abstract

In this paper, we analyze the error probability of reconfigurable intelligent surfaces (RIS)-enabled communication systems with quantized channel phase compensation over Rayleigh fading channels. The probability density and characteristic functions of the received signal amplitude are derive dand used to compute exact expressions for the bit error rate(BER). The resulting expressions are general, as they hold for an arbitrary number of reflecting elements N, and quantization levels, L. We introduce an exact asymptotic analysis in the high signal-to-noise ratio (SNR) regime, from which we demonstrate, in particular, that the diversity order is N/2 when L=2 and N when L >2. The theoretical frameworks and findings are validated with the aid of Monte Carlo simulation.

Published
2021

234. Dual-Mode Embedded Impulse-Radio Ultra-Wideband Radar System for Biomedical Applications

Author

Wei-Ping Hung and Chia-Hung Chang

Subjects
DC offset, embedded system, impulse radio radar, material sensing, ultra-wideband (UWB), vital sign, Chemical technology, TP1-1185
Abstract

This paper presents a real-time and non-contact dual-mode embedded impulse-radio (IR) ultra-wideband (UWB) radar system designed for microwave imaging and vital sign applications. The system is fully customized and composed of three main components, an RF front-end transmission block, an analog signal processing (ASP) block, and a digital processing block, which are integrated in an embedded system. The ASP block enables dual-path receiving for image construction and vital sign detection, while the digital part deals with the inverse scattering and direct current (DC) offset issues. The self-calibration technique is also incorporated into the algorithm to adjust the DC level of each antenna for DC offset compensation. The experimental results demonstrate that the IR-UWB radar, based on the proposed algorithm, successfully detected the 2D image profile of the object as confirmed by numerical derivation. In addition, the radar can wirelessly monitor vital sign behavior such as respiration and heartbeat information.

Published
2024
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239. Nemotron-4 340B Technical Report.

Author

Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H. Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan M. Cohen, Sirshak Das, Ayush Dattagupta, Olivier Delalleau, Leon Derczynski, Yi Dong, Daniel Egert, Ellie Evans, Aleksander Ficek, Denys Fridman, Shaona Ghosh, Boris Ginsburg, Igor Gitman, Tomasz Grzegorzek, Robert Hero, Jining Huang, Vibhu Jawa, Joseph Jennings, Aastha Jhunjhunwala, John Kamalu, Sadaf Khan, Oleksii Kuchaiev, Patrick LeGresley, Hui Li, Jiwei Liu, Zihan Liu 0001, Eileen Long, Ameya Sunil Mahabaleshwarkar, Somshubra Majumdar, James Maki, Miguel Martinez, Maer Rodrigues de Melo, Ivan Moshkov, Deepak Narayanan, Sean Narenthiran, Jesus Navarro, Phong Nguyen, Osvald Nitski, Vahid Noroozi, Guruprasad Nutheti, Christopher Parisien, Jupinder Parmar, Mostofa Patwary, Krzysztof Pawelec, Wei Ping, Shrimai Prabhumoye, Rajarshi Roy 0003, Trisha Saar, Vasanth Rao Naik Sabavat, Sanjeev Satheesh, Jane Polak Scowcroft, Jason Sewall, Pavel Shamis, Gerald Shen, Mohammad Shoeybi, Dave Sizer, Misha Smelyanskiy, Felipe Soares, Makesh Narsimhan Sreedhar, Dan Su 0003, Sandeep Subramanian, Shengyang Sun, Shubham Toshniwal, Hao Wang, Zhilin Wang, Jiaxuan You, Jiaqi Zeng, Jimmy Zhang, Jing Zhang 0023, Vivienne Zhang, Yian Zhang, and Chen Zhu 0001

Published
2024
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