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96 results on '"Li, Zeping"'

61. Ellagic Acid Attenuates BLM-Induced Pulmonary Fibrosis via Inhibiting Wnt Signaling Pathway

Author

Li, Xiaohe, primary, Huang, Kai, additional, Liu, Xiaowei, additional, Ruan, Hao, additional, Ma, Ling, additional, Liang, Jingjing, additional, Cui, Yunyao, additional, Wang, Yanhua, additional, Wu, Shuyang, additional, Li, Hailong, additional, Wei, Yuli, additional, Li, Zeping, additional, Gao, Jingjing, additional, Yang, Bo, additional, Li, Xiaoping, additional, Yang, Guang, additional, Zhou, Honggang, additional, and Yang, Cheng, additional

Published
2021
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62. CoRh nanoparticles supported on ZIF-67 as highly efficient catalysts for hydrolytic dehydrogenation of ammonia boranes for chemical hydrogen storage

Author

Xu Zhi-Mou, Peng Jing, Qu Xiaopeng, Li Zeping, Yu Zhiqiang, Chen Cun-hua, Jiang Rui, and Gui Xiangyu

Subjects
Renewable Energy, Sustainability and the Environment, Chemistry, Inorganic chemistry, Energy Engineering and Power Technology, Nanoparticle, Boranes, 02 engineering and technology, 010402 general chemistry, 021001 nanoscience & nanotechnology, Condensed Matter Physics, 01 natural sciences, 0104 chemical sciences, Catalysis, Hydrogen storage, Fuel Technology, X-ray photoelectron spectroscopy, Chemical engineering, Dehydrogenation, 0210 nano-technology, Selectivity, Bimetallic strip
Abstract

Extremely diffused bimetallic CoRh nanoparticles supported on ZIF-67 have been triumphantly compounded by using a simple wet-chemical approach and then they were characterized by ICP-AES, power XRD, N2 adsorption-desorption, HTEM, EDX, SEM and XPS. In the midst of the texted catalysts, the catalytic activity of the Rh25Co75@ZIF-67 catalysts is the highest, with turnover frequency (TOF) value of 100.21mol H2.min−1(mol catalyst)−1, and 100% H2 selectivity at 298 K. Additionally, the durability of this catalyst is very excellent for five cycles.

Published
2017

66. Ellagic Acid Attenuates BLM-Induced Pulmonary Fibrosis via Inhibiting Wnt Signaling Pathway

Author

Li, Xiaohe, primary, huang, kai, additional, Liu, Xiaowei, additional, Ruan, Hao, additional, Ma, Ling, additional, Cui, Yunyao, additional, Wang, Yanhua, additional, Wu, Shuyang, additional, Li, Hailong, additional, Wei, Yuli, additional, Liang, Jingjing, additional, Li, Zeping, additional, Gao, Jingjing, additional, Yang, Bo, additional, Li, Xiaoping, additional, Zhou, Honggang, additional, and Yang, Cheng, additional

Published
2020
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76. Design and implementation of living streaming system based on multi-service nodes collaboration

Author

Huang Tianchi, Zhang Jun, and Li Zeping

Subjects
Real time messaging protocol, Weight factor, business.industry, Computer science, 05 social sciences, Real-time computing, 050801 communication & media studies, 020206 networking & telecommunications, 02 engineering and technology, Transcoding, computer.software_genre, Service node, Weighting, 0508 media and communications, Server, 0202 electrical engineering, electronic engineering, information engineering, Entropy (information theory), Mobile telephony, business, computer, Computer network
Abstract

This paper presents a design and implementation method of living streaming system based on multi-service nodes collaboration. The system uses the entropy weighting method to dynamically determine the weight factor of each service node and uses the coordinator node to collect the load information of service nodes and perform global optimal distribution of loads. The collection terminal uses RTMP (Real Time Messaging Protocol) as the push protocol to send videos to service nodes, which then transcode the received videos into HLS (HTTP live streaming) and forward them to the releasing nodes in real time. Users can watch live videos on the releasing nodes. This service model is particularly suitable for watching live videos on mobile terminals. Herein, the design and implementation of the proposed system is described and its feasibility and effectiveness are verified in actual network environments.

Published
2017

77. The construction elements of modern logistics system

Author

Li Zhou, Ning Shi, and Li Zeping

Subjects
History, Interconnection, business.industry, Computer science, Emerging technologies, Big data, ComputerApplications_COMPUTERSINOTHERSYSTEMS, Cloud computing, Computer Science Applications, Education, Engineering management, Information system, The Internet, business, Internet of Things, Management level
Abstract

The arrival of the Internet era has promoted the development of a large number of emerging technologies, and the logistics industry has also ushered in reform opportunities. To change the problems of high traditional logistics costs and low management level, it is necessary to build a modern logistics system to achieve the goal of reducing logistics costs and promoting national economic growth. The modern logistics system must establish the development goals of informatized, intelligent and traced, and the logistics infrastructure system, logistics operation system and logistics management system are constructed. The four major systems of logistics information system, as well as the infrastructure network, the operation organization network and the intelligent information network, realize the interconnection and interconnection of various systems and networks. In this paper, technologies such as big data, Internet, Internet of Things, cloud computing, blockchain and artificial intelligence are integrated into each system network, and a modern logistics system based on interconnection is creatively proposed.

Published
2019

85. Risk analysis of PR interval prolongation in type 2 diabetes mellitus.

Author

Zhang Yi, Wang Shujin, Zou Jian, Li Zeping, Zhang Bingyu, Han Feifei, Wang Xiaoye, and Li Xiaomiao

Abstract

Objective To evaluate the relationship between PR interval prolongation and diabetic retinopathy (DR), diabetic kidney disease (DKD) and carotid intima-media thickness (CIMT). Methods A total of 857 inpatients with type 2 diabetes mellitus (T2DM), from May 2014 to March 2016 at the Department of Endocrinology and Metabolism of Xijing Hospital affiliated to the Fourth Military Medical University were selected and divided into two groups according to their electrocardiogram results: PR≤ 200 ms (Group 1, n=812) and PR>200 ms (Group 2, n=45). The demographic data and biochemical markers including the age, gender, diabetic duration, fasting blood glucose (FPG), blood lipid, albumin creatinine rate, glomerular filtration rate and the prevalence of DR, prevalence of DKD, prevalence of CIMT were compared and analyzed among two groups. Statistical comparisons were performed using the Student t test or Nonparametric Tests. Logistic regression analysis were used to study the influencing factors for PR interval prolongation. Results The mean PR interval of all patients was (162±23) ms. The prevalence of DR and DKD in patients with PR>200 ms were significantly more than those in patients with PR≤200 ms (69% vs 39%,46.7% vs 23.4%, χ²=15.75, 12.44, all P<0.01). Logistic regression analysis showed that the risk of PR interval prolongation for T2DM patients with DR was 2.168 times higher than those with non-DR (OR=2.168, 95%CI 1.055-4.455, P<0.05), and the risk of PR interval prolongation for T2DM patients with DKD was 2.317 times higher than those with non-DKD (OR=2.317, 95%CI 1.160-4.628, P<0.05), PR interval length was not correlated with CIMT in T2DM patients. Conclusion PR interval length is positively correlated with DR, and DKD, but no correlated with CIMT in type 2 diabetic patients. [ABSTRACT FROM AUTHOR]

Published
2019
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86. Study on HCPV power forecasting model based on grey neural network and Markov chain

Author

Li Zeping, Zhengqiu Yang, and Jiapeng Xiu

Subjects
Artificial neural network, Markov chain, Power station, Computer science, business.industry, Markov process, computer.software_genre, Machine learning, Residual, Power (physics), Electric power system, symbols.namesake, symbols, Data mining, Artificial intelligence, Probabilistic forecasting, business, computer, Physics::Atmospheric and Oceanic Physics
Abstract

The accurate power output forecasting is advantageous to improving the reliability of power system. This paper presents a new power forecasting model based on grey neural network and Markov chain. In grey neural network, it gains the power at the corresponding time as the forecasting result. As getting the relative prediction residual errors of the forecasting sample data with grey neural network, residual errors is corrected by the Markov chain method to improving the forecasting accuracy. Finally the prediction model is applied in forecasting the power of a HCPV power station. The results of the experiment show that this forecasting model is an efficient model.

Published
2014

91. Fabrication of PZT PCs with nanoporc arrays by sol-gel process.

Author

LI Zeping, XIONG Gang, MEI Lihong, WANG Geng, and QU Xiaopeng

Abstract

Copyright of Journal of Central China Normal University is the property of Huazhong Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2017

92. Synthesis of barium strontium titanate quasi photonic crystals with nanopore arrays by sol–gel technique.

Author

Xu, Zhimou, Yu, Zhiqiang, Qu, Xiaopeng, Wang, Shuangbao, Li, Zeping, and Peng, Jing

Subjects
BARIUM strontium titanate synthesis, PHOTONIC crystals, SOL-gel processes
Abstract

We report on the synthesis, characterization and optical properties of barium strontium titanate (BST) quasi photonic crystals (PCs) through a sol–gel technique with the porous alumina template (PAT). The structure, morphology and pore-size distribution of the samples were characterized by SEM, XRD and EDS, The Ba0.6Sr0.4TiO3PCs of crystalline cubic phase with uniform pore size and ordered arrange were successfully synthesized. The obtained quasi BST PCs not only show that the nanostructure has spatially periodical orderly arrangement, but also exhibit good optical transmittance properties. The advantage of this sol–gel technique with PAT to fabricate ferroelectric (FE) nanopore arrays lies in its low cost and simplicity. This study opens a pathway for the effective fabrication and studies of FE nanopore arrays in uniquely large area. [ABSTRACT FROM PUBLISHER]

Published
2016
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94. Enhanced Local CO Coverage on Cu Quantum Dots for Boosting Electrocatalytic CO2 Reduction to Ethylene.

Author

Wang, Yan, Wang, Jiarui, Cai, Rui, Zhang, Jianfang, Xia, Shuai, Li, Zeping, Yu, Cuiping, Wu, Jingjie, Wang, Peng, and Wu, Yucheng

Subjects
*COUPLING reactions (Chemistry), *COPPER, *QUANTUM dots, *STANDARD hydrogen electrode, *ELECTROLYTIC reduction, *ELECTROSYNTHESIS
Abstract

Ethylene (C2H4) electrosynthesis from the electrocatalytic CO2 reduction process holds enormous potential applications in industrial production. However, the sluggish kinetics of C─C coupling often result in low yield and poor selectivity for C2H4 production. Herein, the performance of Cu catalysts of varying sizes is investigated, prepared via a cryo‐mediated liquid phase exfoliation technique, for the electrochemical CO2 reduction to C2H4. The activity and selectivity of C2H4 gradually increase as the size of the Cu catalysts decreases from tens of nanometers to a few nanometers. Impressively, the 5 nm Cu quantum dots (Cu‐5) achieve a maximum C2H4 Faradaic efficiency (FE) of 81.5% and a half‐cell cathodic energy efficiency (CEE) of 42.2% with a large partial current density of 1.1 A cm−2 at −0.93 V versus the reversible hydrogen electrode. Structural characterization and in situ spectroscopic analysis reveal that the Cu‐5 quantum dots, dominated by the (100) facet, provide an abundance of active sites that enhance CO2 adsorption and activation, promoting the formation of *CO intermediates. The accumulation of *CO intermediates on the Cu active sites facilitates the CO‐CHO coupling reaction, thus enhancing the C2H4 production rate. [ABSTRACT FROM AUTHOR]

Published
2024
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