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5篇 您的检索式:作者名="Ziang Pan"
    题名 作者 年代 出处 被引量
1Prophet model and Gaussian process regressionbased user traffic prediction in wireless networks显示文摘User traffic prediction is an important topic for wireless network operators.A user traffic prediction method based on Prophet and Gaussian process regression is proposed in this paper.The proposed method first employs discrete wavelet transform to decompose the user traffic time series to high-frequency component and low-frequency component.The low-frequency component bears the long-range dependence of user network traffic,while the high-frequency component reveals the gusty and irregular fluctuations of user network traffic.Then Prophet model and Gaussian process regression are applied to predict the two components respectively based on the characteristics of the two components.Experimental results demonstrate that the proposed model outperforms the existing time series prediction method.Yu LI Ziang MA Zhiwen PAN Nan LIU Xiaohu YOU 2020Science China(Information Sciences)2020,63,4:4
2Novel hollow Ni0.33Co0.67Se nanoprisms for high capacity lithium storage显示文摘In this work,homogeneous Ni0.33Co0.67Se hollow nanoprisms were synthesized successfully in virtue of Kirkendall effect.It is the first time for bimetallic Ni-Co compounds Ni0.33Co0.67Se to be used in lithium-ion batteries (LIBs).Impressively,the Ni0.33Co0.67Se hollow nanoprisms show superior specific capacity (1,575 mAh/g at the current density of 100 mA/g) and outstanding rate performance (850 mAh/g at 2,000 mA/g) as anode material for LIBs.This work proves the potential of bimetallic chalcogenide compounds as high performance anode materials for LIBs.Shaohua Zhu Cheng Chen Pan He Shuangshuang Tan Fangyu Xiong Ziang Liu Zhuo Peng Qinyou An Liqiang Mai 2019Nano Research2019,12,6:3
3Raman Micro-Spectroscopic Study of Sulfate Ion in the System Na_2SO_4-H_2O显示文摘This work aims to quantify sulfate ion concentrations in the system Na_2SO_4-H_2O using Raman micro-spectroscopy.Raman spectra of sodium sulfate solutions with known concentrations were collected at ambient temperature(293 K) and in the 500 cm^(_1)-4000 cm^(-1) spectral region.The results indicate that the intensity of the SO_4^(2-) band increases with increasing concentrations of sulfate ion.A linear correlation was found between the concentration of SO_4^(2-)(c) and parameter I_1,which represents the ratio of the area of the SO_4^(2-) band to that of the O-H stretching band of water(A_s/A_w):I_1=-0.00102+0.01538 c.Furthermore,we deconvoluted the O-H stretching band of water(2800 cm^(-1)-3800 cm^(-1)) at 3232 and 3430 cm^(-1) into two sub-Gaussian bands,and then defined Raman intensity of the two sub-bands as A_(Bi)(3232 cm^(-1)) and A_(B2)(3430 cm^(-1)),defined the full width of half maximum(FWHM) of the two sub-bands as W_(B1)(3232 cm^(-1)) and W_(B2)(3430 cm^(-1)).A linear correlation between the concentration of SO_4^(2-)(c) and parameter I_2,which represents the ratio of Raman intensity of SO_4^(2-)(A_s)(in 981 cm^(-1)) to(A_(B1)+A_(B2)),was also established:I_2=-0.0111+0.3653 c.However,no correlations were found between concentration of SO_4^(2-)(c) and FWHM ratios,which includes the ratio of FWHM of SO_4^(2-)(W_s) to W_(B1) W_(B2) and W_(B1+B2)(the sum of W_(B1) and W_(B2)),suggesting that FWHM is not suitable for quantitative studies of sulfate solutions with Raman spectroscopy.A comparison of Raman spectroscopic studies of mixed Na_2SO_4 and NaCI solutions with a constant SO_4^(2-) concentration and variable CI^- concentrations suggest that the I\ parameter is affected by CI^-,whereas the I_2 parameter was not.Therefore,even if the solution is not purely Na_2SO_4-H_2O,SO_4^(2-) concentrations can still be calculated from the Raman spectra if the H_2O band is deconvoluted into two sub-bands,making this method potentially applicable to analysis of natural fluid inclusions.ZHU Dongliang ZHU Ziang PAN Junyi DING Junying NI Pei 2015Acta Geologica Sinica(English Edition)2015,89,3:1
4A sparse autoencoder-based approach for cell outagedetection in wireless networks显示文摘Dear editor,To meet the requirement of rapid growth in the number of mobile terminals and demand for network service quality from users,wireless networks must implement faster and more intelligent network operation and maintenance functions.One feasible solution is referred to as self-organizing networks(SON)[1].As a use case of SON,self-healing technology is aimed to detect and diagnose network faults automatically and recover from them.Ziang MA Zhiwen PAN Nan LIU 2021Science China(Information Sciences)2021,64,8:0
5Prognostic nomogram incorporating radiological features for predicting overall survival in patients with AIDS-related non-Hodgkin lymphoma显示文摘Background: Acquired immune deficiency syndrome (AIDS)-related non-Hodgkin lymphoma (AR-NHL) is a high-risk factor for morbidity and mortality in patients with AIDS. This study aimed to determine the prognostic factors associated with overall survival (OS) and to develop a prognostic nomogram incorporating computed tomography imaging features in patients with acquired immune deficiency syndrome-related non-Hodgkin lymphoma (AR-NHL).Methods: A total of 121 AR-NHL patients between July 2012 and November 2019 were retrospectively reviewed. Clinical and radiological independent predictors of OS were confirmed using multivariable Cox analysis. A prognostic nomogram was constructed based on the above clinical and radiological factors and then provided optimum accuracy in predicting OS. The predictive accuracy of the nomogram was determined by Harrell C-statistic. Kaplan-Meier survival analysis was used to determine median OS. The prognostic value of adjuvant therapy was evaluated in different subgroups.Results: In the multivariate Cox regression analysis, involvement of mediastinal or hilar lymph nodes, liver, necrosis in the lesions, the treatment with chemotherapy, and the CD4 ≤100 cells/μL were independent risk factors for poor OS (allP < 0.050). The predictive nomogram based on Cox regression has good discrimination (Harrell C-index = 0.716) and good calibration (Hosmer-Lemeshow test,P = 0.620) in high- and low-risk groups. Only patients in the high-risk group who received adjuvant chemotherapy had a significantly better survival outcome.Conclusion: A survival-predicting nomogram was developed in this study, which was effective in assessing the survival outcomes of patients with AR-NHL. Notably, decision-making of chemotherapy regimens and more frequent follow-up should be considered in the high-risk group determined by this model.Xueqin Li Ziang Pan Xing Wang Tianli Hu Wen Ye Dongmei Jiang Wen Shen Jinxin Liu Yuxin Shi Shuang Xia Hongjun Li 2022Chinese Medical Journal2022,,1:0
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