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| 1 | Mortar finite volume element method with Crouzeix-Raviart element for parabolic problems显示文摘 | Bi Chunjia Chen Wenbin | 2008 | Applied Numerical Mathematics2008，58，11： | 1 |
| 2 | The Solar Upper Transition Region Imager(SUTRI)Onboard the SATech-01 Satellite显示文摘The Solar Upper Transition Region Imager(SUTRI)onboard the Space Advanced Technology demonstration satellite(SATech-01),which was launched to a Sun-synchronous orbit at a height of~500 km in 2022 July,aims to test the on-orbit performance of our newly developed Sc/Si multi-layer reflecting mirror and the 2k×2k EUV CMOS imaging camera and to take full-disk solar images at the Ne VII 46.5 nm spectral line with a filter width of~3 nm.SUTRI employs a Ritchey-Chrétien optical system with an aperture of 18 cm.The on-orbit observations show that SUTRI images have a field of view of~416×416 and a moderate spatial resolution of~8″without an image stabilization system.The normal cadence of SUTRI images is 30 s and the solar observation time is about16 hr each day because the earth eclipse time accounts for about 1/3 of SATech-01's orbit period.Approximately15 GB data is acquired each day and made available online after processing.SUTRI images are valuable as the Ne VII 46.5 nm line is formed at a temperature regime of~0.5 MK in the solar atmosphere,which has rarely been sampled by existing solar imagers.SUTRI observations will establish connections between structures in the lower solar atmosphere and corona,and advance our understanding of various types of solar activity such as flares,filament eruptions,coronal jets and coronal mass ejections. | Xianyong Bai Hui Tian Yuanyong Deng Zhanshan Wang Jianfeng Yang Xiaofeng Zhang Yonghe Zhang Runze Qi Nange Wang Yang Gao Jun Yu Chunling He Zhengxiang Shen Lun Shen Song Guo Zhenyong Hou Kaifan Ji Xingzi Bi Wei Duan Xiao Yang Jiaben Lin Ziyao Hu Qian Song Zihao Yang Yajie Chen Weidong Qiao Wei Ge Fu Li Lei Jin Jiawei He Xiaobo Chen Xiaocheng Zhu Junwang He Qi Shi Liu Liu Jinsong Li Dongxiao Xu Rui Liu Taijie Li Zhenggong Feng Yamin Wang Chengcheng Fan Shuo Liu Sifan Guo Zheng Sun Yuchuan Wu Haiyu Li Qi Yang Yuyang Ye Weichen Gu Jiali Wu Zhe Zhang Yue Yu Zeyi Ye Pengfeng Sheng Yifan Wang Wenbin Li Qiushi Huang Zhong Zhang | 2023 | Research in Astronomy and Astrophysics2023，23，6： | 1 |
| 3 | Long-range gene regulation network of the MGMT enhancer modulates glioma cell sensitivity to temozolomide显示文摘Approximately 80%of primary tumors in the central nervous system are malignant glioma,and>50%of those are diagnosed as glioblastoma(GBM),the most aggressive glioma.Despite treatment advances,GBM prognosis is unsatisfying,and the median survival time of patients is only 14-17 months. | Bohan Chen Anshun He Jinfang Bi Shupeng Sun Yiping Ma Wenbin Wang Dianhao Guo Jun Chen Yuyang Qian Tengfei Shi Guohui Nie Zhongfang Zhao Jiandang Shi Hongzhen Yang Lei Zhang Wange Lu | 2021 | Journal of Genetics and Genomics2021，48，10： | 1 |
| 4 | Efficiently developing a large set of polymorphic EST-SSR markers for Xanthoceras sorbifolium by mining raw reads from high-throughput sequencing 显示文摘 | Quanxin Bi Jian-feng Mao Wenbin Guan | 2014 | Conservation Genetics Resourees2014，，： | 1 |
| 5 | Mortar finite volume element method with Crouzeix - Raviart element for parabolic problems 显示文摘 | Bi Chunjia Chen Wenbin | 2008 | Applied Numerical Mathematics2008，58，11： | 1 |
| 6 | Customer Churn Prediction Framework of Inclusive Finance Based on Blockchain Smart Contract显示文摘In view of the fact that the prediction effect of influential financial customer churn in the Internet of Things environment is difficult to achieve the expectation,at the smart contract level of the blockchain,a customer churn prediction framework based on situational awareness and integrating customer attributes,the impact of project hotspots on customer interests,and customer satisfaction with the project has been built.This framework introduces the background factors in the financial customer environment,and further discusses the relationship between customers,the background of customers and the characteristics of pre-lost customers.The improved Singular Value Decomposition(SVD)algorithm and the time decay function are used to optimize the search and analysis of the characteristics of pre-lost customers,and the key index combination is screened to obtain the data of potential lost customers.The framework will change with time according to the customer’s interest,adding the time factor to the customer churn prediction,and improving the dimensionality reduction and prediction generalization ability in feature selection.Logistic regression,naive Bayes and decision tree are used to establish a prediction model in the experiment,and it is compared with the financial customer churn prediction framework under situational awareness.The prediction results of the framework are evaluated from four aspects:accuracy,accuracy,recall rate and F-measure.The experimental results show that the context-aware customer churn prediction framework can be effectively applied to predict customer churn trends,so as to obtain potential customer data with high churn probability,and then these data can be transmitted to the company’s customer service department in time,so as to improve customer churn rate and customer loyalty through accurate service. | Fang Yu Wenbin Bi Ning Cao Hongjun Li Russell Higgs | 2023 | Computer Systems Science & Engineering2023，47，10： | 0 |
| 7 | Resource Load Prediction of Internet of Vehicles Mobile Cloud Computing显示文摘Load-time series data in mobile cloud computing of Internet of Vehicles(IoV)usually have linear and nonlinear composite characteristics.In order to accurately describe the dynamic change trend of such loads,this study designs a load prediction method by using the resource scheduling model for mobile cloud computing of IoV.Firstly,a chaotic analysis algorithm is implemented to process the load-time series,while some learning samples of load prediction are constructed.Secondly,a support vector machine(SVM)is used to establish a load prediction model,and an improved artificial bee colony(IABC)function is designed to enhance the learning ability of the SVM.Finally,a CloudSim simulation platform is created to select the perminute CPU load history data in the mobile cloud computing system,which is composed of 50 vehicles as the data set;and a comparison experiment is conducted by using a grey model,a back propagation neural network,a radial basis function(RBF)neural network and a RBF kernel function of SVM.As shown in the experimental results,the prediction accuracy of the method proposed in this study is significantly higher than other models,with a significantly reduced real-time prediction error for resource loading in mobile cloud environments.Compared with single-prediction models,the prediction method proposed can build up multidimensional time series in capturing complex load time series,fit and describe the load change trends,approximate the load time variability more precisely,and deliver strong generalization ability to load prediction models for mobile cloud computing resources. | Wenbin Bi Fang Yu Ning Cao Russell Higgs | 2022 | Computers, Materials & Continua2022，，10： | 0 |
| 8 | An ESIPT-based NIR-fluorescent probe for exosome labeling and in situ imaging显示文摘Exosomes play significant roles in physiological and tumorigenic processes and it is desirable to visualize and track the exosomes.Herein,a novel amphiphilic fluorescent probe HBT-Exo based on excited-state intramolecular proton transfer(ESIPT)mechanism is reported for exosome-labeling.Its ESIPT characteristics were confirmed by both theory calculation and experimental observation,which enable the probe to show a large Stokes shift as well as near-infrared(NIR)keto-form emission.HBT-Exo displayed excellent biocompatibility and remarkable efficiency for exosome-labeling in gastric cancer cells.Furthermore,the labeled exosomes were successfully applied for the real-time in situ imaging in mouse models. | Jipeng Ding Runsha Xiao Anyao Bi Guanyang Chen Nengwei Zhang Zihua Chen Xueping Feng Wenbin Zeng | 2023 | Chinese Chemical Letters2023，34，11： | 0 |
| 9 | Research on Data Extraction and Analysis of Software Defect in IoT Communication Software显示文摘Software defect feature selection has problems of feature space dimensionality reduction and large search space.This research proposes a defect prediction feature selection framework based on improved shuffled frog leaping algorithm(ISFLA).Using the two-level structure of the framework and the improved hybrid leapfrog algorithm's own advantages,the feature values are sorted,and some features with high correlation are selected to avoid other heuristic algorithms in the defect prediction that are easy to produce local The case where the convergence rate of the optimal or parameter optimization process is relatively slow.The framework improves generalization of predictions of unknown data samples and enhances the ability to search for features related to learning tasks.At the same time,this framework further reduces the dimension of the feature space.After the contrast simulation experiment with other common defect prediction methods,we used the actual test data set to verify the framework for multiple iterations on Internet of Things(IoT)system platform.The experimental results show that the software defect prediction feature selection framework based on ISFLA is very effective in defect prediction of IoT communication software.This framework can save the testing time of IoT communication software,effectively improve the performance of software defect prediction,and ensure the software quality. | Wenbin Bi Fang Yu Ning Cao Wei Huo Guangsheng Cao Xiuli Han Lili Sun Russell Higgs | 2020 | Computers, Materials & Continua2020，，11： | 0 |
| 10 | Research on Multi-Blockchain Electronic Archives Sharing Model显示文摘The purpose of introducing blockchain into electronic archives sharing and utilization is to break the information barrier between electronic archives sharing departments by relying on technologies such as smart contract and asymmetric encryption.Aiming at the problem of dynamic permission management in common access control methods,a new access control method based on smart contract under blockchain is proposed,which improves the intelligence level under blockchain technology.Firstly,the Internet attribute access control model based on smart contract is established.For the dynamic access of heterogeneous devices,the management contract,permission judgment contract and access control contract are designed;Secondly,the access object credit evaluation algorithm based on particle swarm optimization radial basis function(PSO-RBF)neural network is used to dynamically generate the access node credit threshold combined with the access policy,so as to realize the intelligent access right management method.Finally,combined with the abovemodels and algorithms,the workflow of electronic archives sharing and utilization model of multi blockchain is constructed.The experimental results show that the timeconsuming of the process increases linearly with the number of continuous access to electronic archives blocks,and the secure access control of sharing and utilization is feasible,secure and effective. | Fang Yu Wenbin Bi Ning Cao Jun Luo Diantang An Liqiang Ding Russell Higgs | 2023 | Computers, Materials & Continua2023，76，9： | 0 |
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