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Association between central serous chorioretinopathy and Helicobacter pylori infection: a systematic review and Meta-analysis

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International Journal of Ophthalmology(English edition) 2024年第6期17卷 1120-1127页

作者： Da-wen Wu Fei-Peng Jiang ge ge Mei-Xia Zhang Department of Ophthalmology West China HospitalSichuan UniversityChengdu 610041Sichuan ProvinceChina Research Laboratory of Macular Disease West China HospitalSichuan UniversityChengdu 610041Sichuan ProvinceChina

AIM:To investigate the association between central serous chorioretinopathy(CSC)and Helicobacter pylori(Hp)by summarizing all available ***:The Scopus,Embase,EBSCO,PubMed,Web of Science,and Cochrane Library databases for all relevant studies published from inception to October 2022 were searched,and manually searched for relevant reference lists as a *** investigating the association between CSC and Hp infection were ***,8 case-control studies were included in the Meta-analysis after study ***:The results showed no significant correlation between Hp infection and CSC[odds ratio(OR)1.89,95%confidential interval(CI)0.58–6.15,I2=96%,P=0.29].After subgroup analysis based on the degree of development of the study(developing/developed countries),it was found that the results of the two subgroups were the same as the whole,and no significant difference between the two subgroups ***-regression showed that the effect of sample size on heterogeneity among studies was more prominent(P<0.01,adjusted R^(2)=89.72%),which can explain 89.72%of the sources of ***:This Meta-analysis reveals no significant correlation between Hp infection and CSC,which still warrants further well-designed extensive sample studies to reach a more reliable conclusion and promote a better understanding of the treatment of CSC.

关键词： central serous chorioretinopathy Helicobacter pylori infection retinal diseases Meta-analysis

Electrostatically Controlled Nematic and Smectic Assembly of Gold Nanorods

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Chemical Research in Chinese Universities 2013年第5期29卷 929-933页

作者： WEI wen-bo CHEN Kuan ge Guang-lu National Center for Nanoscience and Technology Beijing 100190 P. R. China

The assembly of gold nanorods（GNRs） into different liquid crystalline structures can be controlled by tuning their surface electric potential, After mildly removing excess surfactants in the GNRs solution, the electrostatic interaction between GNRs can be tuned by adjusting counter ion concentration. Specifically, nematic and smectic structures formed after solvent evaporation at low and high bromide concentrations, respectively. These results could be helpful for fabricating anisotropy enabled devices composed of metal and semiconductor nanorods.

关键词： Nanorod Nanostructure Self-assembly

Investigation on the Inverse Emulsion Polymerization of Acrylic Acid

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Chinese Chemical Letters 2002年第10期13卷 993-996页

作者： Jian Fang ge Feng Ji LU wen DING Department of Polymer Materials Xi’an Jiaotong UniversityXi’an 710049

Polyacrylic acid particles in nano-scale were synthesized using an inverse (W/O) emulsion polymerization method. The particle size and size change of inverse micelles which solubilize a part of monomer solution was monitored by PCS (photon correlation spectroscopy) and the particles of polyacrylic acid were viewed in scanning electron microscope for the first time. It was concluded that the inverse micelles were primarily the polymerization reaction sites.

关键词： Polyacrylic acid inversion emulsion polymerization radical reaction.

A hybrid data-mining framework for train rescheduling strategy pattern discovery

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Transportation Safety and Environment 2024年第1期6卷 56-67页

作者： Ruirui Chen Xuekai ge Ping Huang Chao wen School of Transportation&Logistics Southwest Jiaotong UniversityChengdu 611756China Department of IT Operational Technology CN RailWaterloo N2V2R1Canada

This study presents a hybrid data-mining framework based on feature selection algorithms and clustering methods to perform the pattern discovery of high-speed railway train rescheduling strategies(RSs).The proposed model is composed of two *** the first state,decision tree,random forest,gradient boosting decision tree(GBDT)and extreme gradient boosting(XGBoost)models are used to investigate the importance of *** features that have a high influence on RSs are first *** the second state,a K-means clustering method is used to uncover the interdependences between RSs and the influencing features,based on the results in the first *** proposed method can determine the quantitative relationships between RSs and influencing *** results clearly show the influences of the factors on RSs,the possibilities of different train operation RSs under different situations,as well as some key time periods and key trains that the controllers should pay more attention *** research in this paper can help train traffic controllers better understand the train operation patterns and provides direction for optimizing rail traffic RSs.

关键词： high-speed railway rescheduling strategy pattern discovery feature identification clustering algorithm

Aerosol Spray Pyrolysis Synthesis of Porous Anatase TiO_2 Microspheres with Tailored Photocatalytic Activity

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Acta Metallurgica Sinica(English Letters) 2019年第3期32卷 286-296页

作者： wen-ge Li Yan-Jie Hu Hao Jiang Chun-Zhong Li Key Laboratory for Ultrafine Materials of the Ministry of Education School of Materials Science and EngineeringEast China University of Science and Technology

Porous titanium dioxide(TiO_2) microspheres(MS) were prepared by a facile ultrasonic spray pyrolysis process with commercial colloidal silica as a sacrificial template. The morphology structure, Brunauer–Emmett–Teller surface areas and pore size distribution of TiO_2 microspheres were studied by changing the content and diameter of the silica template in detail. These porous micro-sized MS are composed of anatase TiO_2 nanocrystallites of 5–10 nm and have unique bimodal mesopores. The largest specific surface area of 112.3 m^2/g has been achieved using 60 wt% 20 nm silica as a *** used as photocatalysts, the best photocatalytic activity of the as-prepared porous MS is comparable to commercial P25 nanopowders. Moreover, the micro-size and tailored properties from the design that appear during the ultrasonic spray pyrolysis process give these porous MS a promising application in photocatalytic reaction.

关键词： Ultrasonic spray pyrolysis TiO2 microspheres Porous structure Photodegradation

High-order Lagrangian cell-centered conservative scheme on unstructured meshes

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Applied Mathematics and Mechanics(English Edition) 2014年第9期35卷 1203-1222页

作者：葛全文 Institute of Applied Physics and Computational Mathematics

A high-order Lagrangian cell-centered conservative gas dynamics scheme is presented on unstructured meshes. A high-order piecewise pressure of the cell is intro- duced. With the high-order piecewise pressure of the cell, the high-order spatial discretiza- tion fluxes are constructed. The time discretization of the spatial fluxes is performed by means of the Taylor expansions of the spatial discretization fluxes. The vertex velocities are evaluated in a consistent manner due to an original solver located at the nodes by means of momentum conservation. Many numerical tests are presented to demonstrate the robustness and the accuracy of the scheme.

关键词： high-order sub-cell force high-order Lagrangian cell-centered conservativescheme high-order piecewise pressure of cell unstructured mesh

OPTIMAL DISTRIBUTED FUSION ALGORITHM WITH ONE-STEP OUT-OF-SEQUENCE ESTIMATES

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Journal of Electronics(China) 2008年第4期25卷 529-538页

作者： ge Quanbo wen Chenglin College of Automation Hangzhou Dianzi University Hangzhou 310018 China

The transmission modes of multi-hop and broadcasting for Wireless Sensor Networks(WSN)often make random and unknown transmission delays appear,so multisensor data fusion based ondelayed systems attracts intense attention from lots of *** existing achievements for thedelayed fusion all focus on Out-Of-Sequence Measurements(OOSM)problem which has many dis-advantages such as high communication cost,low computational efficiency,huge computational com-plexity and storage requirement,bad real-time performance and so *** order to overcome theseproblems occurred in the OOSM fusion,the Out-Of-Sequence Estimates(OOSE)are considered tosolve the delayed fusion for the first *** from OOSM which belongs to the centralized fusion,the OOSE scheme transmits local estimates from local sensors to the central processor and is thus thedistributed fusion;thereby,the OOSE fusion can not only avoid the problems suffered in the OOSMfusion but also make the design of fusion algorithm highly simple and ***,a novel optimallinear recursive prediction weighted fusion method is proposed for one-step OOSE problem in this *** a tradeoff,its fusion accuracy is slightly lower than that of the OOSM method because the currentOOSM fusion is a smooth estimate and OOSE gets a prediction ***,the smooth result of theOOSE problem also has good fusion *** analysis and computer simulation show thatthe total performance of the proposed one-step OOSE fusion algorithm is better than the current one-step OOSM fusion in the practical tracking systems.

关键词： Sensor networks Distributed fusion One-step delay Kalman filtering Out-Of-Sequence Measurements (OOSM) Out-Of-Sequence Estimates (OOSE)

Reinforcement learning based adaptive control for uncertain mechanical systems with asymptotic tracking

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Defence Technology（防务技术） 2024年第4期34卷 19-28页

作者： Xiang-long Liang Zhi-kai Yao Yao-wen ge Jian-yong Yao School of Mechanical Engineering Nanjing University of Science and TechnologyNanjing210094China College of Automation&College of Artificial Intelligence Nanjing University of Post and TelecommunicationNanjing210023China

This paper mainly focuses on the development of a learning-based controller for a class of uncertain mechanical systems modeled by the Euler-Lagrange *** considered system can depict the behavior of a large class of engineering systems,such as vehicular systems,robot manipulators and *** these systems are often characterized by highly nonlinear characteristics,heavy modeling uncertainties and unknown perturbations,therefore,accurate-model-based nonlinear control approaches become *** by the challenge,a reinforcement learning(RL)adaptive control methodology based on the actor-critic framework is investigated to compensate the uncertain mechanical *** approximation inaccuracies caused by RL and the exogenous unknown disturbances are circumvented via a continuous robust integral of the sign of the error(RISE)control *** from a classical RISE control law,a tanh(·)function is utilized instead of a sign(·)function to acquire a more smooth control *** developed controller requires very little prior knowledge of the dynamic model,is robust to unknown dynamics and exogenous disturbances,and can achieve asymptotic output ***,co-simulations through ADAMS and MATLAB/Simulink on a three degrees-of-freedom(3-DOF)manipulator and experiments on a real-time electromechanical servo system are performed to verify the performance of the proposed approach.

关键词： Adaptive control Reinforcement learning Uncertain mechanical systems Asymptotic tracking

Development and Application of Intelligent Prediction Software for Broken Rock Zone Thickness of Drifts

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Journal of China University of Mining and Technology 2005年第2期15卷 86-90页

作者： XUGuo-an JINGHong-wen LIKai-ge CHENKun-fu SchoolofArchitectureandCivilEngineering ChinaUniversityofMining＆TechnologyXuzhouJiangsu221008China ZhengzhouSub-Bureau HenanBureauofCoalMineSafetySupervisionZhengzhouHenan450000China

In order to seek the economical, practical and effective method of obtaining the thickness of broken rock zone, an emerging intelligent prediction method with adaptive neuro-fuzzy inference system (ANFIS) was introduced into the thickness prediction. And the software with functions of creating and applying prediction systems was devel- oped on the platform of MATLAB6.5. The software was used to predict the broken rock zone thickness of drifts at Li- angbei coal mine, Xinlong Company of Coal Industry in Xuchang city of Henan province. The results show that the predicted values accord well with the in situ measured ones. Thereby the validity of the software is validated and it provides a new approach to obtaining the broken zone thickness.

关键词： broken rock zone around drift intelligent prediction software adaptive neuro-fuzzy inference system (ANFIS)