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| 1 | Therapeutic effect of electroacupuncture,massage,and blocking therapy on external humeral epicondylitis显示文摘OBJECTIVE:To compare two therapeutic methods:electroacupuncture + massage + blocking therapy,and blocking therapy alone in the treatment of external humeral epicondylitis.METHODS:Eighty-six patients were randomized into two groups with 43 in each. The treatment group received electroacupuncture + massage +blocking therapy, while the control group received blocking therapy only. A course of electroacupuncture treatment included therapy once a day for 10days. There were 10 treatments in a massage course and massage was given once a day, with a1-week interval given before the next course. A course of blocking treatment included therapy once a week, for twototaltreatments,andgenerallyno more than three times. The therapeutic effects were evaluated with the visual analog scale(VAS),grip strength index(GSI) score, and Mayo elbow performance score(MEPS) before treatment and at0, 6, 12, and 24 months after treatment to observe thetotaleffectiverate.RESULTS: In the treatment and control groups before treatment and at 0, 6, 12, and 24 months after treatment, the VAS scores were: 6.5±1.9 and 6.4±1.6; 4.6±1.3 and 4.6±1.7; 4.8±1.3 and 4.8±1.2; 4.6±1.2 and 6.6±1.6; and 6.5±1.6 and 6.5±1.3, respectively. The GSI scores were 63±8 and 63±8; 84±6and82±7;82±7and82±6;84±6and62±8;and64±6 and 64±7, respectively.The MEPS of both groups were65±7and66±8;85±6and84±7;84±5and84±7;80±7and66±6;and65±6and65±7,respectively.The total effective rates of the treatment and control groups at 0, 6, 12, and 24 months after treatment were 87.5% and 85.0%; 85.0% and 82.5%;80.0% and 12.5%; and 2.5% and 5.0%, respectively.Compared with the treatment group, the control group had greater joint function, better the rapeutic effect, and lower pain intensity(P<0.01), indicating a high recurrence rate in the 12th month after treatment.There were no differences inVAS, GSI, or MEPS at 0, 6, and 24 months after treatment(P>0.05)betweenthetwogroups.CONCLUSION: We found that both methods were effective for external humeral epicondylitis. After 6months of treatment,the effects were good in both groups. However, in the 12th month, the control group had a relatively severe relapse. After 24months, both groups relapsed. The effect of electroacupuncture, massage, and blocking therapy used in combination lasted longer, delaying the recurrence of the disease. | Xinjian Li Kun Zhou Enming Zhang Zhen xiQi Weiqing Sun Liangfu Xu Jianfeng Xu Youzhi Cai Ronghui Wang | 2014 | Journal of Traditional Chinese Medicine2014，34，3： | 6 |
| 2 | Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms显示文摘The main purpose of blasting operation is to produce desired and optimum mean size rock fragments.Smaller or fine fragments cause the loss of ore during loading and transportation,whereas large or coarser fragments need to be further processed,which enhances production cost.Therefore,accurate prediction of rock fragmentation is crucial in blasting operations.Mean fragment size(MFS) is a crucial index that measures the goodness of blasting designs.Over the past decades,various models have been proposed to evaluate and predict blasting fragmentation.Among these models,artificial intelligence(AI)-based models are becoming more popular due to their outstanding prediction results for multiinfluential factors.In this study,support vector regression(SVR) techniques are adopted as the basic prediction tools,and five types of optimization algorithms,i.e.grid search(GS),grey wolf optimization(GWO),particle swarm optimization(PSO),genetic algorithm(GA) and salp swarm algorithm(SSA),are implemented to improve the prediction performance and optimize the hyper-parameters.The prediction model involves 19 influential factors that constitute a comprehensive blasting MFS evaluation system based on AI techniques.Among all the models,the GWO-v-SVR-based model shows the best comprehensive performance in predicting MFS in blasting operation.Three types of mathematical indices,i.e.mean square error(MSE),coefficient of determination(R^(2)) and variance accounted for(VAF),are utilized for evaluating the performance of different prediction models.The R^(2),MSE and VAF values for the training set are 0.8355,0.00138 and 80.98,respectively,whereas 0.8353,0.00348 and 82.41,respectively for the testing set.Finally,sensitivity analysis is performed to understand the influence of input parameters on MFS.It shows that the most sensitive factor in blasting MFS is the uniaxial compressive strength. | Enming Li Fenghao Yang Meiheng Ren Xiliang Zhang Jian Zhou Manoj Khandelwal | 2021 | Journal of Rock Mechanics and Geotechnical Engineering2021，13，6： | 3 |
| 3 | High strain rate compressive strength behavior of cemented paste backfill using split Hopkinson pressure bar显示文摘The stability of cemented paste backfill(CPB)is threatened by dynamic disturbance,but the conventional low strain rate laboratory pressure test has difficulty achieving this research purpose.Therefore,a split Hopkinson pressure bar(SHPB)was utilized to investigate the high strain rate compressive behavior of CPB with dynamic loads of 0.4,0.8,and 1.2 MPa.And the failure modes were determined by macro and micro analysis.CPB with different cement-to-tailings ratios,solid mass concentrations,and curing ages was prepared to conduct the SHPB test.The results showed that increasing the cement content,tailings content,and curing age can improve the dynamic compressive strength and elastic modulus.Under an impact load,a higher strain rate can lead to larger increasing times of the dynamic compressive strength when compared with static loading.And the dynamic compressive strength of CPB has an exponential correlation with the strain rate.The macroscopic failure modes indicated that CPB is more seriously damaged under dynamic loading.The local damage was enhanced,and fine cracks were formed in the interior of the CPB.This is because the CPB cannot dissipate the energy of the high strain rate stress wave in a short loading period. | Xin Chen Xiuzhi Shi Jian Zhou Enming Li Peiyong Qiu Yonggang Gou | 2021 | International Journal of Mining Science and Technology2021，31，3： | 3 |
| 4 | Epidermal self-powered sweat sensors for glucose and lactate monitoring显示文摘Sweat could be a carrier of informative biomarkers for health status identification;therefore,wearable sweat sensors have attracted significant attention for research.An external power source is an important component of wearable sensors,however,the current power supplies,i.e.,batteries,limit further shrinking down the size of these devices and thus limit their application areas and scenarios.Herein,we report a stretchable self-powered biosensor with epidermal electronic format that enables the in situ detec-tion of lactate and glucose concentration in sweat.Enzymatic biofuel cells serve as self-powered sensing modules allowing the sweat sensor to exhibit a determination coefficient(R2)of 0.98 with a sensitivity of 2.48 mV/mM for lactate detection,and R2 of 0.96 with a sensitivity of 0.11 mV/μM for glucose detection.The microfluidic channels developed in an ultra-thin soft flexible polydimethylsiloxane layer not only enable the effective collection of sweat,but also provide excellent mechanical properties with stable performance output even under 30%stretching.The presented soft sweat sensors can be integrated at nearly any location of the body for the continuous monitoring of lactate and glucose changes during normal daily activities such as exercise.Our results provide a promising approach to develop next-generation sweat sensors for real-time and in situ sweat analysis. | Xingcan Huang Jiyu Li Yiming Liu Tszhung Wong Jingyou Su Kuanming Yao Jingkun Zhou Ya Huang Hu Li Dengfeng Li Mengge Wu Enming Song Shijiao Han Xinge Yu | 2022 | Bio-Design and Manufacturing2022，5，1： | 3 |
| 5 | Understanding the phase separation characteristics of nucleocapsid protein provides a new therapeutic opportunity against SARS-CoV-2显示文摘Dear Editor To date,tens of millions of people have been infected with severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),causing the outbreak of the respiratory disease named the coronavirus disease 2019(COVID-19).As a newly emerged member of the coronavirus family,SARS-CoV-2 is an enveloped positive-strand RNA virus,which has probably the largest genome(approximately 30 kb)among all RNA viruses.The nucleocapsid(N)protein of SARS-CoV-2 is mainly responsible for recognizing and wrapping viral RNA into helically symmetric structures(Malik,2020). | Dan Zhao Weifan Xu Xiaofan Zhang Xiaoting Wang Yiyue Ge Enming Yuan Yuanpeng Xiong Shenyang Wu Shuya Li Nian Wu Tingzhong Tian Xiaolong Feng Hantao Shu Peng Lang Jingxin Li Fengcai Zhu Xiaokun Shen Haitao Li Pilong Li Jianyang Zeng | 2021 | Protein & Cell2021，12，9： | 1 |
| 6 | The influence of abnormally high reservoir attenuation on the AVO signature 显示文摘 | Chapman M Liu Enm Li Xiangyang | 2005 | The Leading Edge2005，24，11： | 1 |
| 7 | Rock mass structural recognition from drill monitoring technology in underground mining using discontinuity index and machine learning techniques显示文摘A procedure to recognize individual discontinuities in rock mass from measurement while drilling(MWD)technology is developed,using the binary pattern of structural rock characteristics obtained from in-hole images for calibration.Data from two underground operations with different drilling technology and different rock mass characteristics are considered,which generalizes the application of the methodology to different sites and ensures the full operational integration of MWD data analysis.Two approaches are followed for site-specific structural model building:a discontinuity index(DI)built from variations in MWD parameters,and a machine learning(ML)classifier as function of the drilling parameters and their variability.The prediction ability of the models is quantitatively assessed as the rate of recognition of discontinuities observed in borehole logs.Differences between the parameters involved in the models for each site,and differences in their weights,highlight the site-dependence of the resulting models.The ML approach offers better performance than the classical DI,with recognition rates in the range 89%to 96%.However,the simpler DI still yields fairly accurate results,with recognition rates 70%to 90%.These results validate the adaptive MWD-based methodology as an engineering solution to predict rock structural condition in underground mining operations. | Alberto Fernández JoséA.Sanchidrián Pablo Segarra Santiago Gómez Enming Li Rafael Navarro | 2023 | International Journal of Mining Science and Technology2023，33，5： | 0 |
| 8 | Lubrication Performance of Connecting-Rod and Main Bearing in Di erent Engine Operating Conditions显示文摘Only the lubrication performance at rated engine operating condition was generally analyzed in current design and research of engine connecting-rod and main bearing. However, the actual engine(especially vehicle engine) does not always operate in rated operating condition and its operating condition changes constantly. In this paper, a fourstroke four-cylinder engine is taken as the studying object, the load and lubrication of connecting-rod and main bearing in di erent operating conditions are analyzed. The load of connecting-rod bearing is calculated by the dynamic calculation method, the loads of all main bearings are calculated by the whole crankshaft beam-element finite element method, and the lubrication performance of connecting-rod and main bearings are analyzed by the dynamic method. The results show that there are major di erences in the changes and numerical value at corresponding moment of the loads and lubrication performance of connecting-rod and main bearings in an engine operating cycle in di erent engine operating conditions; the most unfavorable case of the lubrication performance of connectingrod and main bearings may not take place in the rated engine operating condition. There are also major di erences between the lubrication performance of connecting-rod bearing and that of main bearing and between the lubrication performances of main bearings one another. Therefore, it will not be reasonable that the lubrication performance of a certain connecting-rod bearing or main bearing is analyzed in the design of the engine bearing. It is necessary to analyze simultaneously the lubrication performances of all bearings in di erent engine operating conditions. | Jun Sun Biao Li Shaoyu Zhu Enming Miao Hu Wang Xiaoyong Zhao Qin Teng | 2019 | Chinese Journal of Mechanical Engineering2019，32，2： | 0 |
| 9 | Compressive strength prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme gradient boosting technique显示文摘Concrete is the most commonly used construction material.However,its production leads to high carbon dioxide(CO_(2))emissions and energy consumption.Therefore,developing waste-substitutable concrete components is necessary.Improving the sustainability and greenness of concrete is the focus of this research.In this regard,899 data points were collected from existing studies where cement,slag,fly ash,superplasticizer,coarse aggregate,and fine aggregate were considered potential influential factors.The complex relationship between influential factors and concrete compressive strength makes the prediction and estimation of compressive strength difficult.Instead of the traditional compressive strength test,this study combines five novel metaheuristic algorithms with extreme gradient boosting(XGB)to predict the compressive strength of green concrete based on fly ash and blast furnace slag.The intelligent prediction models were assessed using the root mean square error(RMSE),coefficient of determination(R^(2)),mean absolute error(MAE),and variance accounted for(VAF).The results indicated that the squirrel search algorithm-extreme gradient boosting(SSA-XGB)yielded the best overall prediction performance with R^(2) values of 0.9930 and 0.9576,VAF values of 99.30 and 95.79,MAE values of 0.52 and 2.50,RMSE of 1.34 and 3.31 for the training and testing sets,respectively.The remaining five prediction methods yield promising results.Therefore,the developed hybrid XGB model can be introduced as an accurate and fast technique for the performance prediction of green concrete.Finally,the developed SSA-XGB considered the effects of all the input factors on the compressive strength.The ability of the model to predict the performance of concrete with unknown proportions can play a significant role in accelerating the development and application of sustainable concrete and furthering a sustainable economy. | Enming LI Ning ZHANG Bin XI Jian ZHOU Xiaofeng GAO | 2023 | Frontiers of Structural and Civil Engineering2023，17，9： | 0 |
| 10 | An integrative drug repositioning framework discovered a potential therapeutic agent targeting COVID-19显示文摘The global spread of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)requires an urgent need to find effective therapeutics for the treatment of coronavirus disease 2019(COVID-19).In this study,we developed an integrative drug repositioning framework,which fully takes advantage of machine learning and statistical analysis approaches to systematically integrate and mine large-scale knowledge graph,literature and transcriptome data to discover the potential drug candidates against SARS-CoV-2.Our in silico screening followed by wet-lab validation indicated that a poly-ADP-ribose polymerase 1(PARP1)inhibitor,CVL218,currently in Phase I clinical trial,may be repurposed to treat COVID-19.Our in vitro assays revealed that CVL218 can exhibit effective inhibitory activity against SARS-CoV-2 replication without obvious cytopathic effect.In addition,we showed that CVL218 can interact with the nucleocapsid(N)protein of SARS-CoV-2 and is able to suppress the LPS-induced production of several inflammatory cytokines that are highly relevant to the prevention of immunopathology induced by SARS-CoV-2 infection. | Yiyue Ge Tingzhong Tian Suling Huang Fangping Wan Jingxin Li Shuya Li Xiaoting Wang Hui Yang Lixiang Hong Nian Wu Enming Yuan Yunan Luo Lili Cheng Chengliang Hu Yipin Lei Hantao Shu Xiaolong Feng Ziyuan Jiang Yunfu Wu Ying Chi Xiling Guo Lunbiao Cui Liang Xiao Zeng Li Chunhao Yang Zehong Miao Ligong Chen Haitao Li Hainian Zeng Dan Zhao Fengcai Zhu Xiaokun Shen Jianyang Zeng | 2021 | Signal Transduction and Targeted Therapy2021，6，5： | 0 |
| 11 | Microacoustic Imaging Technique for Bulk Microstructure Characterization of Woven CFRC Materials显示文摘In short wavelength case ultrasound propagation through woven carbon fiber-rein-forced composite (CFRC) materials essentially depends on their microstructure.Fiber bundle and weaving ply can be considered as basic structural elements of woven CFRC laminates.These structural units provide effective reflectors when ultra-short impulse high frequency ultrasound impinges on woven laminates.The reflection coefficient R0 achieves level of 3%-15% at ply-ply interface,0.2-0.4 in resin pocket region.This magnitude of reflection coefficient offers reasonable acoustic contrast to see packing,lay-up and resin pockets in woven laminate body by acoustic imaging methods.Microacoustic imaging technique is based on time-resolved echoes from reflections in woven CFRC laminates.A focal system with low aperture angle is used to generate 20-40 probe ultrasonic pulse wave.Its spatial resolution is up to 60mm at 50MHz in woven CFRC laminate.The results presented in this paper demonstrates the possibility and potentiality of characterization of microstrueture of woven CFRC laminates.Packing,lay-up,weaving nature,fiber bundle,resin pocket as well as their topology are exhibited clearly in the acoustic images by using microaeoustic technique. | Liu Songping Guo Enming Liu Feifei Li Legang V.M.Levin Yu S Petronyuk | 2007 | 航空制造技术2007，50，z1： | 0 |
| 12 | BCL9 regulates CD226 and CD96 checkpoints in CD8^(+)T cells to improve PD-1 response in cancer显示文摘To date,the overall response rate of PD-1 blockade remains unsatisfactory,partially due to limited understanding of tumor immune microenvironment(TIME).B-cell lymphoma 9(BCL9),a key transcription co-activator of the Wnt pathway,is highly expressed in cancers.By genetic depletion and pharmacological inhibition of BCL9 in tumors,we found that BCL9 suppression reduced tumor growth. | Mei Feng Zhongen Wu Yan Zhou Zhuang Wei Enming Tian Shenglin Mei Yuanyuan Zhu Chenglong Liu Fenglian He Huiyu Li Cao Xie Joy Jin Jibin Dong Dehua Yang Ker Yu Junbin Qian Diether Lambrechts Ming-Wei Wang Di Zhu | 2021 | Signal Transduction and Targeted Therapy2021，6，9： | 0 |
| 13 | Mechanical Design of the Full-length Magnet Mirror Structure for a Nbg_(3)Sn Sextupole Coil of FECR显示文摘The fourth-generation 45 GHz ECR source(FECR)is under development in the Institute of Modern Physics.One of the critical components of FECR is the Nb_(3)Sn sextupole coil with a length of 937.4 mm. | Zhu Li Chen Yuquan Mei Enming Wu Wei Sun Liangting | 2019 | IMP & HIRFL Annual Report2019，，1： | 0 |
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