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| 1 | miR-34a inhibits the migration and invasion of esophageal squamous cellcarcinoma by targeting Yin Yang-1显示文摘 | Jihua Nie Xin Ge Yangyang Geng Han Cao Wei Zhu Yang Jiao Jinchang Wu Jundong Zhou Jianping Cao | 2015 | Oncology Reports2015，，： | 1 |
| 2 | N^(6)-methyladenosine methyltransferase plays a role in hypoxic preconditioning partially through the interaction with lncRNA H19显示文摘N^(6)-methyladenosine(m6A),a m ethylation in the N6 position of adenosine especially in the mRNA,exerts diverse physiological and pathological functions.However,the precise role of m 6A methylation in hypoxic preconditioning(HPC)is still unknown.Here,we observed that HPC treatm ent protected H9c2 cells against H2O2-induced injury,upregulated the m 6A level in the total RNA and the expression of methyltransferase like 3(METTL3),methyltransferase like 14(METTL14),and long noncoding RNA(lncRNA)H19.Either knockdown of METTL3 or METTL14 notably reversed the HPC-induced enhancement of cell viability,anti-apoptosis ability,and H19 expression.M ethylated RNA im m unoprecipitation(IP)indicated that knockdown of METTL3 or METTL14 decreased m 6A level in the lncRNA H19.Gain-of-function assay dem onstrated that H19 overexpression could partially rescue the decreased protection mediated by METTL3 or METTL14 knockdown in HPCtreated H9c2 cells.RNA binding protein im m unoprecipitation(RIP)assay showed that METTL3 and METTL14 could directly bind w ith H19.Our study identified a novel pattern of posttranscriptional regulation in HPC treatm ent.Since METTL3,METTL14,and lncRNA H19 were involved in HPC protection,they could be considered as potential biomarkers and therapeutic targets in HPC-derived cardiac rehabilitation and therapeutic approaches. | Yamin Su Rongfeng X u Rui Zhang Yangyang Qu Wenjie Zuo Zhenjun Ji Haihua Geng Min Pan Genshan Ma | 2020 | Acta Biochimica et Biophysica Sinica2020，52，12： | 1 |
| 3 | Effect of electroacupuncture at Zusanli(ST 36) on dorsal root nerve signals in normal rats显示文摘OBJECTIVE: To investigate how electroacupuncture (EA) at Zusanli (ST 36) with varying intensities of stimulation affects dorsal root nerve signals in normal rats. METHODS: Adult female Wistar rats were examined after drug-induced anesthesia and isolation of the L4 dorsal root associated with the Zusanli (ST 36) acupoint, using bipolar platinum electrodes. We applied EA at Zusanli (ST 36) with a continuous wave waveform for 1 min, and recorded action potentials in the L4 spinal cord dorsal root nerve with a frequency of 5 Hz and various current intensity levels (approximately 1-4 mA). In addition, we tested EA with a frequency of 15 Hz and current intensity of 1-4 mA. The L4 spinal cord dorsal nerve bundle action potentials were measured for 1 min of EA. To analyze the discharge frequency, we used the maximum Lyapunov exponent and Lempel-Ziv (LZ) complexity. RESULTS: At a fixed frequency, with increasing intensity of EA, dorsal root nerve filament discharge frequency revealed an initial increase, followed by a decreasing trend. A stimulation intensity of 3 mA induced a significantly greater discharge frequency, compared with stimulation intensities of 2 and 4 mA. EA stimulation evoked neuroelectric signals with chaotic characteristics. Increased intensity led to an initial increase in LZ complexity which then decreased, with a stimulation strength of 3 mA inducing the highest level of LZ complexity. CONCLUSION: EA of different intensities can induce nerve action potential encoding with different features. | Su Dongdong Geng Lianqi Zhang Jingsha Chen Yingyuan Liu Yangyang Yan Lijuan Guo Yi | 2019 | Journal of Traditional Chinese Medicine2019，39，5： | 1 |
| 4 | Single Failure Routing Protection Algorithm in the Hybrid SDN Network显示文摘Loop free alternate(LFA)is a routing protection scheme that is currently deployed in commercial routers.However,LFA cannot handle all single network component failure scenarios in traditional networks.As Internet service providers have begun to deploy software defined network(SDN)technology,the Internet will be in a hybrid SDN network where traditional and SDN devices coexist for a long time.Therefore,this study aims to deploy the LFA scheme in hybrid SDN network architecture to handle all possible single network component failure scenarios.First,the deployment of LFA scheme in a hybrid SDN network is described as a 0-1 integer linear programming(ILP)problem.Then,two greedy algorithms,namely,greedy algorithm for LFA based on hybrid SDN(GALFAHSDN)and improved greedy algorithm for LFA based on hybrid SDN(IGALFAHSDN),are proposed to solve the proposed problem.Finally,both algorithms are tested in the simulation environment and the real platform.Experiment results show that GALFAHSDN and IGALFAHSDN can cope with all single network component failure scenarios when only a small number of nodes are upgraded to SDN nodes.The path stretch of the two algorithms is less than 1.36. | Haijun Geng Jiangyuan Yao Yangyang Zhang | 2020 | Computers, Materials & Continua2020，，7： | 1 |
| 5 | Efficient Routing Protection Algorithm in Large-Scale Networks显示文摘With an increasing urgent demand for fast recovery routing mechanisms in large-scale networks,minimizing network disruption caused by network failure has become critical.However,a large number of relevant studies have shown that network failures occur on the Internet inevitably and frequently.The current routing protocols deployed on the Internet adopt the reconvergence mechanism to cope with network failures.During the reconvergence process,the packets may be lost because of inconsistent routing information,which reduces the network’s availability greatly and affects the Internet service provider’s(ISP’s)service quality and reputation seriously.Therefore,improving network availability has become an urgent problem.As such,the Internet Engineering Task Force suggests the use of downstream path criterion(DC)to address all single-link failure scenarios.However,existing methods for implementing DC schemes are time consuming,require a large amount of router CPU resources,and may deteriorate router capability.Thus,the computation overhead introduced by existing DC schemes is significant,especially in large-scale networks.Therefore,this study proposes an efficient intra-domain routing protection algorithm(ERPA)in large-scale networks.Theoretical analysis indicates that the time complexity of ERPA is less than that of constructing a shortest path tree.Experimental results show that ERPA can reduce the computation overhead significantly compared with the existing algorithms while offering the same network availability as DC. | Haijun Geng Han Zhang Yangyang Zhang | 2021 | Computers, Materials & Continua2021，，2： | 0 |
| 6 | Energy-Efficient Routing Algorithm Based on Multipath Routing in Large-Scale Networks显示文摘A reduction in network energy consumption and the establishment of green networks have become key scientific problems in academic and industrial research.Existing energy efficiency schemes are based on a known traffic matrix,and acquiring a real-time traffic matrix in current complex networks is difficult.Therefore,this research investigates how to reduce network energy consumption without a real-time traffic matrix.In particular,this paper proposes an intra-domain energy-efficient routing scheme based on multipath routing.It analyzes the relationship between routing availability and energy-efficient routing and integrates the two mechanisms to satisfy the requirements of availability and energy efficiency.The main research focus is as follows:(1)A link criticality model is evaluated to quantitatively measure the importance of links in a network.(2)On the basis of the link criticality model,this paper analyzes an energy-efficient routing technology based on multipath routing to achieve the goals of availability and energy efficiency simultaneously.(3)An energy-efficient routing algorithm based on multipath routing in large-scale networks is proposed.(4)The proposed method does not require a real-time traffic matrix in the network and is thus easy to apply in practice.(5)The proposed algorithm is verified in several network topologies.Experimental results show that the algorithm can not only reduce network energy consumption but can also ensure routing availability. | Haijun Geng Qidong Zhang Jiangyuan Yao Wei Wang Zikun Jin Han Zhang Yangyang Zhang | 2021 | Computers, Materials & Continua2021，，8： | 0 |
| 7 | Traditional Chinese Medicine Constitution and Clinical Data Association with Machine Learning for Prediction of Spontaneous Abortion显示文摘Background:Early prevention of Spontaneous Abortion(SA)is essential for the treatment of recurrent spontaneous abortion.Objective:In this retrospective study,a variety of machine learning methods were used to develop predictive models and diagnose the potential risk of SA.Methods:A total of 663 pregnant women participated in the case-control study,586 of which were SA patients and 77 were normal parturition women.The research data included 25 features of Traditional Chinese Medicine(TCM)constitution and clinical data related to SA.This work utilized 8 machine learning techniques including logistic regression,gradient boosting decision tree,k-nearest neighbor,classification and r-egression tree,multilayer perceptron,support vector machine,random forest and XG-Boost to predict SA.The performances of the applied models were evaluated by using the method of 10-fold cross-validation and by computing the diagnostic test characteristics,including accuracy,precision,recall,��1 score,and the AUC of ROC curve.Results:The��1 scores of these eight machine learning techniques were all above 97.5%.Among them,gradient boosting decision tree had the best prediction result on SA.The accuracy,precision,recall,��1 score,and the AUC of ROC curve of gradient boosting decision tree were 97.9%,99%,98.6%,98.8%,and 97.3%,respectively.Conclusion:The paper has accurately predicted the risk of SA combined with TCM constitution and clinical data. | Yan Liu Yangyang Geng Liuqing Yang Shate Xiang Qiaotong Wang Lanyawen Hu Ping Ye | 2022 | Clinical Complementary Medicine and Pharmacology2022，2，2： | 0 |
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