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Observation on Clinical Effect of Superficial Needling for Intractable Humeral Epicondylitis

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Journal of Acupuncture and Tuina Science 2013年第5期11卷 322-325页

作者： zhang dong-yun Song Hai-yun Huang Guo-qi Taihe Hospital Affiliated to Hubei Medical College

Objective： To observe the clinical effect of superficial needling for ntractable humeral epicondylitis. Methods： Sixty cases in conformity with the inclusion criteria of intractable humeral epicondylitis were randomly divided into two groups, 30 cases in each. The cases in the superficial needling group were treated by superficial needling plus moxibustion, while those in the electro- acupuncture （EA） group were treated by EA plus moxibustion. After treatment, the improvement of the clinical symptoms and signs were compared between the two groups. Results： The curative rate was 80.0% and the total effective rate was 96.7% in the superficial needling group. The curative rate was 60.0% and the total effective rate was 83.3% in the EA group. The differences in the clinical effects between the two groups were statistically significant （P〈0.05）. Conclusion： The therapeutic effect of superficial needling plus moxibustion for intractable humeral epicondylitis is better than that of EA plus moxibustion.

关键词： Tennis Elbow Superficial Needling Electroacupuncture AcupunctureTherapy Moxibustion Therapy Suspended Moxibustion

Enhanced memristor performance via coupling effect of oxygen vacancy and ferroelectric polarization

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Journal of Materials Science & Technology 2024年第4期171卷 139-146页

作者： Zhi yun Yue Zhi dong zhang Zhan Jie Wang Shenyang National Laboratory for Materials Science Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China School of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China School of Materials Science and Engineering Shenyang University of TechnologyShenyang 110870China

As a new type of nonvolatile memory,the resistive memristor has broad application prospects in in-formation storage and neural computing based on its excellent resistive switching(RS)*** present,it is still a great challenge to improve both ferroelectric polarization and leakage current to achieve a high RS on/offratio of ferroelectric ***,epitaxial Pb(Zr_(0.40)Ti_(0.60))O_(3)(PZT)thin films with low content Ca doping were deposited on the Nb:SrTiO_(3)substrate to prepare PCZT/NSTO het-erostructures and their RS behaviors were *** research findings show that compared with pure PZT film,the ferroelectric polarization of 1-mol%-Ca-doped PZT film is slightly improved,while the leak-age current is increased by three orders of ***,the RS on/offratio reaches 2.5×10^(5),about three orders of magnitude higher than pure PZT *** theoretical analysis reveals that the RS behavior of PCZT/NSTO heterostructures is controlled by the PCZT/NSTO interfacial barrier and the space charge-limited current *** results demonstrate that the ferroelectricity and electricity of ferroelectric thin films can be improved simultaneously by doping low-content Ca ions to increase the RS performance,which provides a good reference for the development of high-performance ferroelectric memristor devices.

关键词： Ferroelectric memristor Ca-doped PZT Ferroelectric polarization Oxygen vacancies Resistive switching

尾巨桉林不同生长发育阶段的土壤理化性质与林下植物多样性的动态变化趋势及其规律

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林业科学研究 2024年第1期37卷 82-91页

作者：陆海飞徐建民李光友马宁粟国磊张云东中国林业科学研究院热带林业研究所热带林业研究国家林业与草原局重点实验室广东广州510520 浙江树人学院城建学院浙江杭州310015 云南云景林纸股份有限公司云南景谷666499 普洱市卫国林业局云南宁洱665199

[目的]对比滇南山地桉树纸浆林不同龄组的林分生长指标、土壤理化性质与林下植物多样性的变化及相关性,探索桉树人工林从幼龄林至过熟林不同生长发育阶段的土壤理化性质与林下植物多样性的动态变化趋势及其规律,旨在为桉树纸浆林可持续... 详细信息

[目的]对比滇南山地桉树纸浆林不同龄组的林分生长指标、土壤理化性质与林下植物多样性的变化及相关性,探索桉树人工林从幼龄林至过熟林不同生长发育阶段的土壤理化性质与林下植物多样性的动态变化趋势及其规律,旨在为桉树纸浆林可持续经营提供理论依据。[方法]本研究选取土壤以粗粒结晶岩、泥类岩和碳酸盐岩发育形成的赤红壤或红壤,海拔1400~1700 m立地条件基本一致的样地106块,分属5个不同龄组,通过方差、多重比较和冗余分析不同龄组的生长指标、土壤因子和植物多样性指数之间的差异,采用相关性分析揭示它们之间的关联性。[结果]不同龄组尾巨桉的树高、胸径和活立木蓄积量随林分生长而呈增长趋势,中龄林时增速较快,而到成熟林(7~8 a)时增速放缓。不同龄组间土壤孔隙度和土壤含水量差异显著,并随林分生长过程整体呈先上升后下降的趋势,在近熟林时达到最高值。不同龄组的土壤全氮差异显著,且林木树高、胸径和活立木蓄积量的生长与全氮有较强正相关。尾巨桉林下草本和总灌草的丰富度指数、草本均匀度指数与土壤有机质、有效锌呈正相关。灌木的丰富度指数与土壤含水量、有效氮、有效铜呈正相关。草本和灌木的Shannnon-Wiener指数与土壤全氮呈正相关,与土壤密度、pH值呈较大的负相关。灌木Pielou均匀度指数与土壤全钾呈正相关。其中,土壤有机质对尾巨桉林下植被多样性的影响最大,解释比例达18.3%(F=13.21,P<0.05)。[结论]滇南山地立地生境相近的尾巨桉人工林,幼龄林生长与草本植物存在竞争关系,植物多样性对土壤结构及其物理性质的影响大于化学性质的影响,近成熟时,总灌草、灌木生物多样性达最大值,揭示了近成熟后桉树人工林生态系统进入自恢复演替。

关键词：尾巨桉植物多样性土壤理化性质冗余分析

Prediction of dissolved gas content in transformer oil based on multi-information fusion

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High Voltage 2024年第3期9卷 685-699页

作者： Tongliang Yang yun Fang Chengming zhang Chao Tang dong Hu College of Engineering and Technology Southwest UniversityChongqingChina International R&D Center for New Technologies of Smart Grid and Equipment Southwest UniversityChongqingChina

In order to accurately predict the content and variation trend of dissolved gas in trans-former oil and guide the condition maintenance of power transformers,a combined prediction model based on multi-information fusion is proposed and its effectiveness is *** of all,based on the possibility of pathological and missing historical sample data,a detection and filling method based on variable weight combination samples is ***,the authors propose two *** at the non-linear and non-stationary characteristics of gas content,a univariate decomposition prediction mode HBA-VMD-TCN which based on the Honey Badger algorithm,variational mode decomposition and time convolutional network(TCN)is *** the multi-variate Informer prediction model is established for gas content affected by multiple ***,the cross-entropy theory is used to determine the weight coefficients of the two models,and the multi-information fusion combined prediction model is ***,on the basis of the above,a method to determine the time step and the position information of the transition point adaptively in the process of prediction is proposed to further improve the prediction *** results show that,through a series of simulation experiments of model comparison and transformer anomaly prediction,the accuracy and effectiveness of the combined prediction model are verified.

关键词： content prediction dissolved

Value Iteration-Based Cooperative Adaptive Optimal Control for Multi-Player Differential Games With Incomplete Information

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 690-697页

作者： yun zhang Lulu zhang yunze Cai the Department of Automation Shanghai Jiao Tong UniversityShanghai 200240 the Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240China

This paper presents a novel cooperative value iteration(VI)-based adaptive dynamic programming method for multi-player differential game models with a convergence *** players are divided into two groups in the learning process and adapt their policies *** method removes the dependence of admissible initial policies,which is one of the main drawbacks of the PI-based ***,this algorithm enables the players to adapt their control policies without full knowledge of others’ system parameters or control *** efficacy of our method is illustrated by three examples.

关键词： Adaptive dynamic programming incomplete information multi-player differential game value iteration

Understanding the cooperative effects in the catalysis of homodimeric fluoroacetate dehalogenase

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Science China Chemistry 2024年第7期67卷 2382-2391页

作者： Ke-Wei Chen Jia-Nan Chen Jun zhang Chao Wang Tian-Yu Sun yun-dong Wu Key Laboratory of Computational Chemistry and Drug Design State Key Laboratory of Chemical OncogenomicSchool of Chemical Biology and BiotechnologyPeking University Shenzhen Graduate SchoolShenzhen 518055China Institute of Chemical Biology Shenzhen Bay LaboratoryShenzhen 518132China College of Chemistry and Molecular Engineering Peking UniversityBeijing 100871China Changping Laboratory Beijing 102200China

Fluoroacetate dehalogenases(FAcD),a homodimeric enzyme,catalyzes the conversion of fluoroacetic acid to glycolic acid(GoA).It has been proved that the enzyme has a half-of-the-site ***,its catalytic(C)subunit converts the first substrate to a covalent intermediate;then,the non-catalytic(NC)subunit binds a second substrate and promotes the conversion of the intermediate in the C subunit into the final *** the release of the product,the C subunit becomes the NC subunit,and the previous NC subunit becomes the C *** elucidate the detailed mechanism behind this cooperative catalysis,we have conducted microsecond-scale MD simulations along the reaction *** simulations indicate that the substrate in the NC subunit induces W185 and Y141 adopting an open conformation in the C *** opening of W185(C)facilitates the entry of catalytic water,enhancing the catalytic activity for product formation,while the opening of Y141(C)creates an unfavorable environment for product binding,promoting its *** interaction network analysis reveals that the substrate in the NC subunit can induce conformational changes through a conserved water chain at the interface.

关键词： enzyme catalysis molecular dynamics cooperative effect pre-reaction state

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采用区域选择激光熔化法制造铝合金模型

中国激光 2007年第12期34卷 1700-1704页

作者：张冬云北京工业大学激光工程研究院北京100022

对采用区域选择激光熔化(SLM)技术制造铝合金(如AlSi25,AlSi10Mg,AlMgSi0.5和AlMg3粉末)模型进行了工艺研究。研究表明不同的铝合金粉末具有不同的加工阈值。当激光功率超过粉末的加工阈值时,粉末与基体之间形成致密的冶金结合,为获得... 详细信息

对采用区域选择激光熔化(SLM)技术制造铝合金(如AlSi25,AlSi10Mg,AlMgSi0.5和AlMg3粉末)模型进行了工艺研究。研究表明不同的铝合金粉末具有不同的加工阈值。当激光功率超过粉末的加工阈值时,粉末与基体之间形成致密的冶金结合,为获得致密度为100%的铝合金模型提供了可能性。不同铝合金模型的致密度随着激光功率和扫描速度的变化而变化,但是不同铝合金对孔洞以及裂纹形成的敏感性不同,这主要是由铝合金粉末的不同冶金特性导致的。经过工艺摸索,采用优化参数制造AlSi10Mg拉伸试样,经测试,其机械性能超过了该合金铸造后经时效的拉伸试样性能。表明区域选择激光熔化技术是金属模型和零件直接制造的有效方法之一。

关键词：激光技术快速成型模型制造区域选择激光熔化

Identification of reservoir types in deep carbonates based on mixedkernel machine learning using geophysical logging data

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Petroleum Science 2024年第3期21卷 1632-1648页

作者： Jin-Xiong Shi Xiang-Yuan Zhao Lian-Bo Zeng yun-Zhao zhang Zheng-Ping Zhu Shao-Qun dong Key Laboratory of Exploration Technologies for Oil and Gas Resources of the Ministry of Education Yangtze UniversityWuhan4310HubeiChina School of Geosciences Yangtze UniversityWuhan430100HubeiChina College of Geosciences China University of Petroleum(Beijing)Beijing102249China Petroleum Exploration and Production Research Institute of SINOPEC Beijing100083China School of Earth Sciences and Engineering Xi'an Shiyou UniversityXi'an 710065ShaanxiChina

Identification of reservoir types in deep carbonates has always been a great challenge due to complex logging responses caused by the heterogeneous scale and distribution of storage *** cross-plot analysis and empirical formula methods for identifying reservoir types using geophysical logging data have high uncertainty and low efficiency,which cannot accurately reflect the nonlinear relationship between reservoir types and logging ***,the kernel Fisher discriminant analysis(KFD),a kernel-based machine learning technique,attracts attention in many fields because of its strong nonlinear processing ***,the overall performance of KFD model may be limited as a single kernel function cannot simultaneously extrapolate and interpolate well,especially for highly complex data *** address this issue,in this study,a mixed kernel Fisher discriminant analysis(MKFD)model was established and applied to identify reservoir types of the deep Sinian carbonates in central Sichuan Basin,*** MKFD model was trained and tested with 453 datasets from 7 coring wells,utilizing GR,CAL,DEN,AC,CNL and RT logs as input *** particle swarm optimization(PSO)was adopted for hyper-parameter optimization of MKFD *** evaluate the model performance,prediction results of MKFD were compared with those of basic-kernel based KFD,RF and SVM ***,the built MKFD model was applied in a blind well test,and a variable importance analysis was *** comparison and blind test results demonstrated that MKFD outperformed traditional KFD,RF and SVM in the identification of reservoir types,which provided higher accuracy and stronger *** MKFD can therefore be a reliable method for identifying reservoir types of deep carbonates.

关键词： Reservoir type identification Geophysical logging data Kernel Fisher discriminantanalysis Mixedkernel function Deep carbonates

TCEVis:Visual analytics of traffic congestion influencing factors based on explainable machine learning

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Visual Informatics 2024年第1期8卷 56-66页

作者： Jialu dong Huijie zhang Meiqi Cui Yiming Lin Hsiang-yun Wu Chongke Bi School of Information Science and Technology Northeast Normal UniversityChangchunChina School of Computing Science Baicheng Normal UniversityBaichengChina St.Pölten University of Applied Sciences Austria College of Intelligence and Computing Tianjin UniversityTianjinChina

Traffic congestion is becoming increasingly severe as a result of urbanization,which not only impedes people’s ability to travel but also hinders the economic development of *** the correlation between congestion and its influencing factors using machine learning methods makes it possible to quickly identify congested road *** to the intrinsic black-box character of machine learning models,it is difficult for experts to trust the decision results of road congestion prediction models and understand the significance of congestion-causing *** this paper,we present a model interpretability method to investigate the potential causes of traffic congestion and quantify the importance of various influencing factors using the SHAP *** to the multidimensionality of these factors,it can be challenging to visually represent the impact of all *** response,we propose TCEVis,an interactive visual analytics system that enables multi-level exploration of road *** three case studies utilizing actual data,we demonstrate that the TCEVis system offers advantages for assisting traffic managers in analyzing the causes of traffic congestion and elucidating the significance of various influencing factors.

关键词： Visual analytics Speed prediction Explainable Traffic congestion