Prediction and Identification of Antioxidant Peptides in Potato Protein Hydrolysate by Juan Wu, Chao Mao, Wenli Zhang, Yu Cheng

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Note on weighted Carleman-type inequality by Chao-Ping Chen, Wing-Sum Cheung, Feng Qi

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Congestion-Aware Signaling Aggregation and Barring Scheme for LTE Based Machine-to-Machine Network by Fangmin Xu, Chao Qiu, Pengbiao Wang, Xiaokai Liu

“…Theoretical analysis and experimental simulations show that this scheme can improve the system efficiency and greatly alleviate the signaling congestion, especially for the bursty M2M service.…”
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Dynamic Characteristic Analysis of Locomotive Traction Gear based on Simpack by Yuyu Sun, Ye Zhu, Tianmin Guan, Linlin Chai

“…Under the two typical working conditions of low speed and high speed，the dynamic characteristics of the driven gear are compared and the amplitude-frequency characteristic curve of the angular acceleration of the torsional vibration of the driven gear is obtained by Fourier transform （FFT）. …”
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A Comparison of Second-Order Calibration Methods Applied to Excitation-Emission Matrix Fluorescence Data by Hui Chen, Zan Lin, Tong Wu, Chao Tan

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Hydraulic Fracturing Behavior in Shale with Water and Supercritical CO2 under Triaxial Compression by Jianming He, Yixiang Zhang, Chao Yin, Xiao Li

“…Comparing to the water fracturing fluid regularly used in the hydraulic fracturing operation, supercritical CO2 (SC-CO2) as a promising nonaqueous fracturing fluid has the great potential for the improvement of production and protection of shale reservoir. …”
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Next Generation LLRF Control Platform for Compact C-band Linear Accelerator by Liu Chao, Herbst Ryan, Ruckman Larry, Nanni Emilio

“…We have developed a new LLRF platform for C-band linear accelerator based on the Frequency System-on-Chip (RFSoC) device from AMD Xilinx. …”
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Optimal Decision-Making in Chinese Cross-Border Mergers and Acquisitions: A Perspective of Overbidding by Yanping Bao, Chan Lyu, Xia Wu, Jun Lian

“…Chinese domestic firms engage actively in the cross-border merger and acquisition (CBMA) markets, which are crucial in China’s foreign investment economics. Acquisition premium has attracted stakeholders’ attention to determine whether the CBMA decision is optimal. …”
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Synthetic speech detection method using texture feature based on circumferential local ternary pattern by Honghui JIN, Zhihua JIAN, Man YANG, Chao WU

“…In order to further improve the accuracy of synthetic speech detection, a synthetic speech detection method using texture feature based on circumferential local ternary pattern (CLTP) was proposed.The method extracted the texture information from the speech spectrogram using the CLTP and applied it as the feature representation of speech.The deep residual network was employed as the back-end classifier to determine the real or spoofing speech.The experimental results demonstrate that, on the ASVspoof 2019 dataset, the proposed method reduces the equal error rate (EER) by 54.29% and 2.15% respectively, compared with the traditional constant Q cepstral coefficient (CQCC) and linear predictive cepstral coefficient (LPCC), and reduced the EER by 17.14% compared with the local ternary pattern(LTP) texture features.The CLTP comprehensively takes into account the differences between the central and peripheral pixels in the neighborhood and between each peripheral pixel.Then it can acquire more texture information from the speech spectrogram, and improve the accuracy of synthetic speech detection.…”
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Strategic Management of Agribusiness: Determinants and Trends by Chao-Chien Chen, Hsiu-Ping Yueh, Chaoyun Liang

“…Intense changes have arisen in global agriculture, yielding a new market reality that is more complex and competitive than before. …”
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Life-threatening nasotracheal tube obstruction by a blood clot: a case report by Dajeong Lee, Chan Yong Park, Sang Wha Kim

“…The obstructions of NTT can lead to serious or life-threatening consequences if left unobserved or ignored. …”
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Android malware detection method based on deep neural network by Fan CHAO, Zhi YANG, Xuehui DU, Yan SUN

“…Android is increasingly facing the threat of malware attacks.It is difficult to effectively detect large-sample and multi-class malware for traditional machine learning methods such as support vector machine,method for Android malware detection and family classification based on deep neural network was proposed.Based on the comprehensive extraction of application components,Intent Filter,permissions,and data flow,the method performed an effective feature selection to reduce dimensions,and conducted a large-sample detection and multi-class classification for malware based on deep neural network.The experimental results show that the method can conduct an effective detection and classification.The accuracy of binary classification between benign and malicious Apps is 97.73%,and the accuracy of family multi-class classification can reach 93.54%,which is higher than other machine learning algorithms.…”
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Energy efficient beamforming scheme for wireless sensor networks by Zhi-chao QIN, Zheng ZHOU, Xiao-chuan ZHAO

“…Aiming at the limitation of energy and communication distance for nodes in wireless sensor networks and the characteristics of premature death due to ignoring the energy balance for traditional beamforming schemes,an energy efficient beamforming scheme was proposed.First the impact of the number of nodes,the transmission coefficients,the limited power,and the arrival phase on the network energy consumption is analyzed,and the corresponding design principles are given.Then,the nodes which participate the beamforming are selected based on these principles their transmission coefficients are adjusted according to their residual energy and phase.The analysis and simulation results show that the proposed scheme can effectively increase the number of successful transmission,balance the energy consumption among the nodes and prolong the network lifet me.…”
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Research of Gearbox Shell Vibration and Radiated Noise of Electric Automobile by Gao Chao, Zhao Zhizhuan, Shu Yuanlin, Liu Hai

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Standardization of 5G new radio technology oriented Polar code by Desheng XIE, Rong CHAI, Leilei HUANG, Qianbin CHEN

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Relative Permeability of Porous Media with Nonuniform Pores by He Chen, Minghui Yang, Ke Chen, Chao Zhang

“…Moreover, the index factor can be captured by a newly defined parameter, called the nonuniformity factor, which is used to establish an extended Darcy’s law. …”
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Pork Retail Identification Cuts by Brian J. Estevez, Chad Carr, Larry F. Eubanks

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Experimental Investigations on Aircraft Blade Cooling Holes and CFD Fluid Analysis in Electrochemical Machining by Mingxia Chai, Zhiyong Li, Hongjuan Yan, Xiaoyu Sun

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Graph Theoretical Analysis of Semantic Fluency in Patients with Parkinson’s Disease by Guanyu Zhang, Jinghong Ma, Piu Chan, Zheng Ye

“…Patients with PD generated fewer correct words than HC and more correct words than patients with AD. …”
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Effects of pre-oxidation temperature and air volume on oxidation thermogravimetric and functional group change of lignite. by Baoshan Jia, Zihao Chai, Wanting Zhao, Xian Wu

“…Synchronous thermal analysis experiments and Fourier transform infrared spectroscopy were conducted to explore changes in the thermal effects and functional group content of the coal samples, respectively. …”
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