Z.P. Shi
5 Papers
1 Citations
Z.P. Shi is an academic researcher. The author has contributed to research in topics: Internal medicine & Udder. The author has co-authored 1 publications.
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Papers
New method for fitting complex resonance curve to study nonlinear superconducting resonators
Xiaoqian Dai,X. Liu,Q.C. Bi Y.Q. He,Y. Chen,Z. Mai,Z.P. Shi,Weichuan Guo,Y. Wang,L F Wei,Michael R. Vissers,Ju Gao +10 more
TL;DR: In this paper , the authors presented a fitting method that can robustly and accurately fit the complex transmission curve of a superconducting resonator in the nonlinear regime, taking into account the varying internal current in the resonator at different frequencies and nonlinear dependence of the inductance on the internal current.
3
•Journal Article
Relationship between Peak Milk Yield and Udder Parameters of Dehong Crossbred Dairy Buffaloes
Z.B. Gu,S.L. Yang,J. Wang,C. Ma,Y. Chen,W.L. Hu,S.K. Tang,H.S. Zhou,C.B. Liu,T. Chen,X.H. Fu,S.H. Xu,Z.P. Shi,R.S. Li,G.D. Mei,Huaming Mao +15 more
TL;DR: To determine the relationship betweenUdder traits and peak milk yield, udder parameters of 203 Dehong crossbred dairy buffaloes were measured.
1
Prognosis and Benefit Factors of Definitive Concurrent Chemoradiotherapy for Patients with Oligometastatic Esophageal Squamous Cell Carcinoma
Z.P. Shi,X Zhu,Shaobo Ke,H. Qiu,J. Wang,Wei Shi,J. Chen,W.J. Zhao,Gaoke Cai,Yutian Zhangcai,Yu Chen +10 more
TL;DR: In this article , the authors used decision trees to predict the risk of progression and death in patients with coloregional control and treatment-related toxicities, and showed that the decision trees have favorable hierarchical value.
A Comparison of Clinicopathologic Outcomes and Patterns of Lymphatic Spread across Neoadjuvant Chemotherapy, Neoadjuvant Chemoradiotherapy and Neoadjuvant Immunochemotherapy in Locally Advanced Esophageal Squamous Cell Carcinoma.
Y. Tian,Z.P. Shi,C. Wang,Shaobo Ke,H. Qiu,W. Zhao,J. Chen,Y. Gong,Yusheng Wu,W. Zhang,L. Xia,Y. Zhang,Y. Chen +12 more
TL;DR: NCRT or NICT followed by surgery may result in a promising pCR rate and show a better performance in therapeutic response of primary lesion and multiple level and skip node metastases.
A demonstrator for a real-time AI-FPGA-based triggering system for sPHENIX at RHIC
J. Kvapil,G. Borca-Tasciuc,Hannah Bossi,K. Chen,Y. Chen,Y. Corrales Morales,H. Pereira Da Costa,C. D. Silva,C. Dean,John Matthew Durham,S. Fu,C. Hao,Philip Harris,Or Hen,H. R. Jheng,Y. Lee,P. Li,X. Li,Y. Lin,M. X. Liu,A. Olvera,Martin Purschke,Madeline Rigatti,G. Roland,J. Schambach,Z.P. Shi,N. Tran,N. Wuerfel,B. Xu,D. Yu,H. Z. L. A. N. Laboratory,Rensselaer Polytechnic Institute,M. I. O. Technology,Central China Normal University,U Texas,G. I. O. Technology,B. N. Laboratory,Fermilab,Oak Ridge National Laboratory,U.o. Michigan,New Jersey Institute of Technology +40 more
TL;DR: A new approach based on real-time AI technology is explored, an FPGA-based implementation is adopted using a custom designed FELIX-712 board with the Xilinx Kintex Ultrascale FPGA, and the system is deployed in the detector readout electronics loop for real-time trigger decision.