J
Jun Zhang
Publications - 6
Citations - 8
Jun Zhang is an academic researcher. The author has contributed to research in topics: Medicine & Drag. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.
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Sources, fates and treatment strategies of typical viruses in urban sewage collection/treatment systems: A review
Jianju Li,Jing Liu,Hang Yu,Weixin Zhao,Xinhui Xia,Shijie You,Jun Zhang,Hailong Tong,Liangliang Wei +8 more
TL;DR: In this article , the authors present a quantitative profile of the concentration distribution of typical viruses within wastewater collection systems and evaluate the influence of different characteristics of sewer systems on virus species and concentration.
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Comparison of two stitches versus one stitch for emergency cervical cerclage to prevent preterm birth in singleton pregnancies
TL;DR: Compared with emergency cervical cerclage placement with one stitch, the procedure with two stitches can prolong the GA and improve the neonatal prognosis more effectively.
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Investigation on the Opposing Jet in the Hypersonic Rarefied Flow over a Vehicle Based on the DSMC Method
TL;DR: In this article , an opposing jet is applied to the space shuttle arc leading edge and the lifting body cone leading edge in the hypersonic condition of the rarefied flow field.
Theoretical evaluation on burn injury of human respiratory tract due to inhalation of hot gas at the early stage of fires 1
Yong-gang Lv,Jing Liu,Jun Zhang +2 more
TL;DR: In this article, the authors presented a model for high performance scientific computing and computer simulation at the University of Kentucky's Laboratory for High Performance Scientific Computing and Computer Simulation (LPSC).
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The Meshless Direct Simulation Monte Carlo method
TL;DR: In this paper , a meshless direct simulation Monte Carlo (DSMC) method is presented for solving a rarefied flow field problem. But the meshless theory is used to solve the governing equations of the rarefies flow field, and the numerical results of a two-dimensional flow around a cylinder, a nozzle flow, a three-dimensional Flow around a sphere, and a Mars probe re-entry flow are presented to demonstrate the feasibility, accuracy, and robustness of the Meshless DSMC method.