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Your search keyword '"Jiang, Xu-Ping"' showing total 15 results
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15 results on '"Jiang, Xu-Ping"'

10. Sulforaphane attenuates di-N-butylphthalate-induced reproductive damage in pubertal mice: Involvement of the Nrf2-antioxidant system

Author

Jiang, Xu-ping, primary, Tang, Jing-yuan, additional, Xu, Zhen, additional, Han, Peng, additional, Qin, Zhi-qiang, additional, Yang, Cheng-di, additional, Wang, Shang-qian, additional, Tang, Min, additional, Wang, Wei, additional, Qin, Chao, additional, Xu, Yang, additional, Shen, Bai-xin, additional, Zhou, Wei-min, additional, and Zhang, Wei, additional

Published
2017
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12. A high-level notation for developing network management applications: resource description and manipulation language

Author

Jiang Xu-Ping and Chen Ming

Subjects
Structure of Management Information, business.industry, Computer science, Distributed computing, computer.software_genre, Object (computer science), Managed object, Network management application, Network management, Systems management, Element management system, business, Software engineering, computer, Network management station
Abstract

The increasing size, distribution and heterogeneity of today's networks make their management very costly, inefficient and error prone. We are seeking to replace labor-intensive network management with one that is software-intensive. This paper proposes a high-level notation, Resource Description and Manipulation Language (RDML), for facilitating the development of network management applications. As an important aspect of the Architecture of Self-Management Distributed System (ASMDS), RDML is defined as a purely declarative language and serves to describe Virtual Managed Object Class (VMOC), including its attributes and available methods. VMOC can unite object attributes from different sources aid methods enforced on the object attributes into a virtual managed class. RDML bridges the gap between management applications and management data from variety of resources. Because of the simple syntax and the strong describing ability of RDML it is easy to define VMOC in terms of management goals.

Published
2002

13. Enhanced Thermoelectric Performance of SnTe-Based Materials viaInterface Engineering

Author

Tian, Bang-Zhou, Chen, Jie, Jiang, Xu-Ping, Tang, Jun, Zhou, Da-Li, Sun, Qiang, Yang, Lei, and Chen, Zhi-Gang

Abstract

Interface engineering has been regarded as an effective strategy to improve thermoelectric (TE) performance by modulating electrical transport and enhancing phonon scattering. Herein, we develop a new interface engineering strategy in SnTe-based TE materials. We first use a one-step solvothermal method to synthesize SnTe powders decorated by Sb2Te3nanoplates. After subsequent spark plasma sintering, we found that an ion-exchange reaction between the Sb2Te3and SnTe matrixes happens to result in Sb doping and the formation of SnSb nanoparticles and the recrystallization of the nanograined SnTe at the grain boundaries of the SnTe matrix. Benefitting from this unique engineering, a significantly reduced lattice thermal conductivity of ∼0.64 W m–1K–1and a high zTof ∼1.08 (∼100% enhanced) at 873 K are achieved in SnTe–Sb0.06. Such improved TE properties are attributed to the optimized carrier concentration and valence band convergence due to the Sb doping and enhanced phonon scattering by interface engineering at the grain boundaries. This work has demonstrated a facile and effective method to realize high-TE-performance SnTe viainterface engineering.

Published
2021
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15. Multivariate model for predicting semen cryopreservation outcomes in a human sperm bank.

Author

Jiang XP, Zhou WM, Wang SQ, Wang W, Tang JY, Xu Z, Zhang ZX, Qin C, Wang ZJ, and Zhang W

Subjects
Adult, Freezing, Humans, Male, Models, Statistical, Multivariate Analysis, Prognosis, ROC Curve, Semen Analysis, Spermatozoa, Young Adult, Cryopreservation methods, Semen Preservation methods, Sperm Banks methods
Abstract

Semen cryopreservation is widely used in assisted reproductive technologies, but it reduces sperm quality dramatically. The aim of this study was to develop a model using basal semen quality to predict the outcome of postthaw semen parameters and improve the efficiency of cryopreservation in a human sperm bank. Basal semen parameters of 180 samples were evaluated in the first stage, and a multiple logistic regression analysis involving a backward elimination selection procedure was applied to select independent predictors. After a comprehensive analysis of all results, we developed a new model to assess the freezability of sperm. Progressive motility (PR), straight-line velocity (VSL) and average path velocity (VAP) were included in our model. A greater area under the receiver operating characteristic curve was obtained in our model when compared with other indicators. In the second stage of our study, samples that satisfied the new model were selected to undergo freeze-thawing. Compared with the first stage, the rate of good freezability was increased significantly (94% vs 67%, P = 0.003). By determining basal semen quality, we have developed a new model to improve the efficiency of cryopreservation in a human sperm bank.

Published
2017
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