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| 1 | Research on the Freezing Phenomenon of Quantum Correlation by Machine Learning显示文摘Quantum correlation shows a fascinating nature of quantum mechanics and plays an important role in some physics topics,especially in the field of quantum information.Quantum correlations of the composite system can be quantified by resorting to geometric or entropy methods,and all these quantification methods exhibit the peculiar freezing phenomenon.The challenge is to find the characteristics of the quantum states that generate the freezing phenomenon,rather than only study the conditions which generate this phenomenon under a certain quantum system.In essence,this is a classification problem.Machine learning has become an effective method for researchers to study classification and feature generation.In this work,we prove that the machine learning can solve the problem of X form quantum states,which is a problem of physical significance.Subsequently,we apply the density-based spatial clustering of applications with noise(DBSCAN)algorithm and the decision tree to divide quantum states into two different groups.Our goal is to classify the quantum correlations of quantum states into two classes:one is the quantum correlation with freezing phenomenon for both Rènyi discord(α=2)and the geometric discord(Bures distance),the other is the quantum correlation of non-freezing phenomenon.The results demonstrate that the machine learning method has reasonable performance in quantum correlation research. | Xiaoyu Li Qinsheng Zhu Yiming Huang Yong Hu Qingyu Meng Chenjing Su Qing Yang Shaoyi Wu Xusheng Liu | 2020 | Computers, Materials & Continua2020，，12： | 2 |
| 2 | Association of Heart Rate Variability in Taxi Drivers with Marked Changes in Particulate Air Pollution in Beijing in 2008显示文摘 | Wu Shaowei Deng Furong Niu Jie Huang Qinsheng Liu Youcheng Guo Xinbiao | 2010 | Environmental Health Perspectives2010，，1： | 1 |
| 3 | Exposures to PM 2.5 components and heart rate variability in taxi drivers around the Beijing 2008 Olympic Games显示文摘 | Shaowei Wu Furong Deng Jie Niu Qinsheng Huang Youcheng Liu Xinbiao Guo | 2011 | Science of the Total Environment2011，，13： | 1 |
| 4 | MATHEMATIC MODEL AND EXPERIMENTAL STUDY ON ADSORBING OIL BY SEDIMENT显示文摘MATHEMATICMODELANDEXPERIMENTALSTUDYONADSORBINGOILBYSEDIMENTWenqianZHAO1andXiaoboCAO2andQinshengHUANG3ABSTRACTThecharacterist... | Zhao, Wenqian Cao, Xiaobo Huang, Qinsheng | 1998 | International Journal of Sediment Research1998，13，3： | 0 |
| 5 | The Controllability of Quantum Correlation under Geometry and Entropy Discords显示文摘Quantum correlation plays a critical role in the maintenance of quantum information processing and nanometer device design.In the past two decades,several quantitative methods had been proposed to study the quantum correlation of certain open quantum systems,including the geometry and entropy style discord methods.However,there are differences among these quantification methods,which promote a deep understanding of the quantum correlation.In this paper,a novel time-dependent three environmental open system model is established to study the quantum correlation.This system model interacts with two independent spin-environments(two spin-environments are connected to the other spin-environment)respectively.We have calculated and compared the changing properties of the quantum correlation under three kinds of geometry and two entropy discords,especially for the freezing phenomenon.At the same time,some original and novel changing behaviors of the quantum correlation under different timedependent parameters are studied,which is helpful to achieve the optimal revival of the quantum discord and the similar serrated form of the freezing phenomenon.Finally,it shows the controllability of the freezing correlation and the robustness of these methods by adjusting time-dependent parameters.This work provides a new way to control the quantum correlation and design nanospintronic devices. | Xiaoyu Li Yiming Huang Qinsheng Zhu Xusheng Liu Desheng Zheng | 2021 | Computers, Materials & Continua2021，，3： | 0 |
| 6 | Simultaneously quantifying hundreds of acylcarnitines in multiple biological matrices within ten minutes using ultrahigh-performance liquid-chromatography and tandem mass spectrometry显示文摘Acylcarnitines are metabolic intermediates of fatty acids and branched-chain amino acids having vital biofunctions and pathophysiological significances. Here, we developed a high-throughput method for quantifying hundreds of acylcarnitines in one run using ultrahigh performance liquid chromatography and tandem mass spectrometry (UPLC-MS/MS). This enabled simultaneous quantification of 1136 acylcarnitines (C0–C26) within 10-min with good sensitivity (limit of detection < 0.7 fmol), linearity (correlation coefficient > 0.992), accuracy (relative error < 20%), precision (coefficient of variation (CV), CV < 15%), stability (CV < 15%), and inter-technician consistency (CV < 20%, n = 6). We also established a quantitative structure-retention relationship (goodness of fit > 0.998) for predicting retention time (tR) of acylcarnitines with no standards and built a database of their multiple reaction monitoring parameters (tR, ion-pairs, and collision energy). Furthermore, we quantified 514 acylcarnitines in human plasma and urine, mouse kidney, liver, heart, lung, and muscle. This provides a rapid method for quantifying acylcarnitines in multiple biological matrices. | Jingxian Zhang Qinsheng Chen Lianglong Zhang Biru Shi Men Yu Qingxia Huang Huiru Tang | 2024 | Journal of Pharmaceutical Analysis2024，14，1： | 0 |
| 7 | DIFFUSION PROPERTIES OF OILED WASTEWATER IN OPEN CHANNEL显示文摘DIFFUSIONPROPERTIESOFOILEDWASTEWATERINOPENCHANNEL￥ZhaoWen-qian;ChaoXiao-ho;LiKe-feng;HuangQin-sheng(Dept.ofHydraulicEngr.,Sic... | Zhao, Wenqian Chao, Xiaobo Li, Kefeng Huang, Qinsheng | 1995 | Journal of Hydrodynamics1995，7，3： | 0 |
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