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Xin Wang

Researcher at Peking University

Publications -  1043
Citations -  30114

Xin Wang is an academic researcher from Peking University. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 59, co-authored 762 publications receiving 22731 citations. Previous affiliations of Xin Wang include Beihang University & Sichuan University.

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Experimental Study of the Temperature Field in Fire Caused by Sodium Leakage in Sodium-Cooled Fast Reactor Loop

TL;DR: In this paper, an experiment on the sodium fire in form of columnar flow has been conducted, where temperature field characteristics were analyzed by measured results. But the results showed that the temperature field is less affected by columnar flows when the lateral distance to the sodium flow is more than 0.4m.
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All-solid anti-resonant single crystal fibers

TL;DR: In this article , a novel all-solid anti-resonant single crystal fiber (AR-SCF) with high refractive index tubes cladding is proposed, which can reduce the mode number to achieve single-mode or few-mode transmission.
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Viscosity and Density Estimation of Ternary Solution Based on Recursive B-Spline Method

TL;DR: The 2nd International Conference on Measurement, Instrumentation and Automation (ICMIA 2013) as discussed by the authors was held in Guilin, China from April 23 to April 24, 2013.
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Optimum duration of adjuvant trastuzumab in treatment of human epidermal growth factor receptor-2 positive early breast cancer: protocol for a network meta-analysis of randomised controlled trials.

TL;DR: The objective of applying network meta-analysis (NMA) is to integrate existing evidence based on direct and indirect comparisons of efficacy and safety, and to determine the duration of trastuzumab treatments with the greatest impact on therapeutic outcomes in HER2-positive early breast cancers.
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Study on Automatic Hydrological Telemetry System Based on SMS/GPRS

TL;DR: According to the practical situation in hydrological telemetry stations, a perfect solution scheme based on GPRS/GSM wireless network is made and the traditional manual way is thoroughly discard and the work intensity of prediction is greatly decreased.