检索结果-南通市图书馆

Cubic Mesoporous Aluminosilicate with Primary Structure Units of Zeolite Beta in the Pore Wall

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Chinese Chemical Letters 2003年第6期14卷 637-640页

作者： Gong li Qiu bin KAN Tong Hao WU Jia hui HUANG Department of Chemistry Jilin UniversityChangchun 130023 liaoning University of Petroleum&Chemical Technology Fushun 113001

Mesoporous aluminosilicate with cubic ordered structure was synthesized by two-step crystallization, which showed stronger acid sites and more effective activity for catalytic alkylation of 2, 4-ditert-butylphenol wit... 详细信息

关键词： Cubic mesostructure two-step crystallization primary structure units zeolite beta catalysis.

Immunoglobulin G-mediated food intolerance and metabolic syndrome influence the occurrence of reflux esophagitis in Helicobacter pylori-infected patients

在线全文

学校读者我要写书评

暂无评论

World Journal of Gastroenterology 2024年第8期30卷 855-862页

作者： li-hui Wang bin-bin Su Sheng-Shu Wang Guan-Chao Sun Kun-Ming Lv Yi li hui Shi Qian-Qian Chen College Chinese PLA General HospitalBeijing 100853China Department of Gastroenterology Second Medical Center of Chinese PLA General HospitalBeijing 100853China Institute of Geriatrics The 2nd Medical CenterBeijing Key Laboratory of Aging and GeriatricsNational Clinical Research Center for Geriatrics DiseasesSecond Medical Center of Chinese PLA General HospitalBeijing 100853China Department of Gastroenterology First Medical Center of Chinese PLA General HospitalBeijing 100853China

BACKGROUND Reflux esophagitis has an increasing prevalence and complex and diverse *** its risk factors is crucial to understanding the etiology,prevention,and management of the *** occurrence of reflux esophagitis may be associated with food reactions,Helicobacter pylori(***)infection,and metabolic *** To investigate the risk factors for reflux esophagitis and analyze the effects of immunoglobulin(Ig)G-mediated food intolerance,*** infection,and metabolic syndrome on reflux *** Outpatients attending the Second Medical Center of the PLA General Hospital between 2017 and 2021 were retrospectively *** patients’basic information,test results,gastroscopy results,*** test results,and IgG-mediated food intolerance results were *** logistic regression analysis was used to analyze risk factors for reflux *** mediation analysis was used to evaluate the effects of IgG-mediated food intolerance and metabolic syndrome on *** infection affecting reflux *** A total of 7954 outpatients were included;the prevalence of reflux esophagitis,IgG-mediated food intolerance,*** infection,and metabolic syndrome were 20.84%,61.77%,35.91%,and 60.15%,*** analysis showed that the independent risk factors for reflux esophagitis included IgG-mediated food intolerance(OR=1.688,95%CI:1.497-1.903,Plic syndrome(OR=1.165,95%CI:1.030-1.317,P=0.01484),and the independent protective factor for reflux esophagitis was *** infection(OR=0.400,95%CI:0.351-0.456,Plic syndrome had a partially negative mediating effect on *** infection and reduced the occurrence of reflux esophagitis(P=0.0220).CONCLUSION Patients with IgG-mediated food intol

关键词： Gastroesophageal reflux Esophagitis Food intolerance Metabolic syndrome Helicobacter pylori Chemokines

Economic Scheduling of Gaseous-liquid Hydrogen Generation and Storage Plants Considering Complementarity of Multiple Products

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Modern Power Systems and Clean Energy 2023年第1期11卷 223-233页

作者： Jiamei Zhang Kai Sun Canbing li hui liu Wentao Huang bin Zhou Xiaochao Hou College of Electrical and Information Engineering Hunan UniversityChangsha 410082China Hunan Key Laboratory of Intelligent Information Analysis Integrated Optimization for Energy Internet Hunan UniversityChangsha 410082China Department of Electrical Engineering Tsinghua UniversityBeijing 100084China Department of Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China College of electrical Engineering Guangxi UniversityNanning 530004China IEEE

The accessible and convenient hydrogen supply is the foundation of successful materialization for hydrogen-powered vehicles(HVs).This paper proposes a novel optimal scheduling model for gaseous-liquid hydrogen generation and storage plants powered by renewable energy to enhance the economic feasibility of *** gaseous-liquid hydrogen generation and storage plant can be regarded as an energy hub to supply concurrent service to both the transportation sector and ancillary *** the proposed model,the power to multi-state hydrogen(P2MH)process is analyzed in detail to model the branched hydrogen flow constraints and the corresponding energy conversion relationship during hydrogen generation,processing,and *** model the coupling and interaction of diverse modules in the system,the multi-energy coupling matrix is developed,which can exhibit the mapping of power from the input to the *** on this,a multi-product optimal scheduling(MPOS)algorithm considering complementarity of different hydrogen products is further formulated to optimize dispatch factors of the energy hub system to maximize the profit within limited *** demand response signals are incorporated in the algorithm to further enhance the operation revenue and the scenario-based method is deployed to consider the *** proposed methodology has been fully tested and the results demonstrate that the proposed MPOS can lead to a higher rate of return for the gaseous-liquid hydrogen generation and storage plant.

关键词： Demand response energy hub hydrogen generation and storage plant optimal scheduling renewable energy

Joint interface during arc milling brazing of aluminum alloy to low carbon steel with cutter milling at various rotation speeds

在线全文

学校读者我要写书评

暂无评论

Rare Metals 2017年第11期36卷 872-877页

作者： hui-bin Xu Song Tang Hai-Feng Xi Peng-Yu Gao Mo-Yang li School of Materials Science and Engineering Chongqing University of Technology State Key Laboratory of Advance Welding and Joining Harbin Institute of Technology

In this study, 5052 steel were joined by a new way aluminum alloy and Q235 of arc milling brazing, with the Zn15%A1 filler metal and no use of flux. Effect of rotation speed on mechanical properties and microstructure of joint interface was investigated. The results show that increasing rotation speed is in favor of formation of weld and spread of filler metal on substrate. The fine grain with homogeneous composition in brazed seam can be realized by the stronger stirring in pool induced by milling at more higher rotation speed. And, a composite joint reinforced with needle-like or block-like Fe-A1-Zn intermetallic compounds （IMCs） particle can be obtained by arc milling brazing, which comes from the reaction between steel scrape and Zn-A1 filler alloy. The test on strength of joint interface shows that with the increase in rotation speed, there is a peak value in variation ranges of strength of joint interface. This is to say, when rotation speed is 2720 ***-~, the strength of joint has maximum value （182.01 MPa）. Moreover, a thin and discontinuous IMCs layer at joint interface can be obtained by increasing rotation speed. But at a low or high rotation speed, there also is a crack at joint interface, which weakens the strength of joint interface. Only at 2720 ***-1, a good joint interface without an obvious crack can be realized.

关键词： Dissimilar materials Intermetallic compounds Rotation speed Arc brazing Milling

A Hybrid Model Based on Back-Propagation Neural Network and Optimized Support Vector Machine with Particle Swarm Algorithm for Assessing Blade Icing on Wind Turbines

在线全文

学校读者我要写书评

暂无评论

Energy Engineering 2021年第6期118卷 1869-1886页

作者： Xiyang li bin Cheng hui Zhang Xianghan Zhang Zhi Yun College of Mechanical and Electrical Engineering Shihezi UniversityShihezi832003China Key Laboratory of Northwest Agricultural Equipment Ministry of Agriculture and Rural AffairsShihezi832003China

With the continuous increase in the proportional use of wind energy across the globe,the reduction of power generation efficiency and safety hazards caused by the icing on wind turbine blades have attracted more consideration for ***,it is crucial to accurately analyze the thickness of icing on wind turbine blades,which can serve as a basis for formulating corresponding control measures and ensure a safe and stable operation of wind turbines in winter times and/or in high altitude *** paper fully utilized the advantages of the support vector machine(SVM)and back-propagation neural network(BPNN),with the incorporation of particle swarm optimization(PSO)algorithms to optimize the parameters of the *** paper proposes a hybrid assessment model of PSO-SVM and BPNN based on dynamic weighting *** sets of icing data under a rotating working state of the wind turbine were used as examples for model *** on a comparative analysis with other models,the results showed that the proposed model has better accuracy and stability in analyzing the icing on wind turbine blades.

关键词： Support vector machine back propagation neural network particle swarm optimization blade icing assessment

Fiber Grating-Based Strain Sensor Array for Health Monitoring of Pipelines

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Structural Durability & Health Monitoring 2019年第4期13卷 347-359页

作者： hui Wang Songyou li Lei liang Gang Xu bin Tu National Engineering Laboratory for Fiber Optic Sensing Technology and College of Information Engineering Wuhan University of TechnologyWuhan430070China Guiyang Bureau CSG EHV Power Transmission CompanyGuiyang550000China National Engineering Laboratory for Fiber Optic Sensing Technology Wuhan University of TechnologyWuhan430070China National Engineering Laboratory of Fiber Sensing Technology Wuhan University of TechnologyWuhan430070China School of Mechanical Engineering Hubei Engineering UniversityXiaogan432000China Wuhan University of Technology Advanced Engineering Technology Research Institute of Zhongshan City Zhongshan528437China

Pipelines are one of the most important modern energy transportation methods,used especially for the transportation of certain dangerous energy media materials such as crude oil,natural gas,and chemical raw *** requirements have been put forward for the health monitoring and early security warning of pipelines because of the large-scale and complicated development trend of the pipe network *** achieve an accurate assessment of the health conditions of pipeline infrastructure,obtaining as many precise operating parameters as possible,particularly at some critical parts of the pipeline,is ***,a novel type of fiber grating strain sensor array is proposed herein to monitor the pipeline hoop *** sensor utilizes fiber grating characteristics such as light weight,corrosion resistance,remote transmission,and strong environmental *** fiber containing the grating measurement points is implanted into the composite material to complete the sensitization encapsulation and protection of the bare fiber *** design of the sensor array fulfills the requirements for monitoring pipeline mass data,making it easy to form a pipeline health monitoring sensor *** sensor sensitivity is researched by using a combination of theoretical and experimental analysis.A sensitivity test,as well as linearity and stability tests,are performed on the *** experimental results show that the average sensitivity of the sensor is 14.86 pm/με,and the error from the theoretical calculation analysis value is 8.75%.Due to its high reliability,good linear response and long-term stability,and the ability to reflect the exact strain change of the outer wall of the pipeline,the designed sensor can support longterm online pipeline *** fiber grating sensor array network has successfully realized the monitoring of the pipeline’s internal operation by using external strain *** addition to the performance benefits,there are other

关键词： Strain sensor array fiber grating composite material monitoring pipeline

Vault predicting after implantable collamer lens implantation using random forest network based on different features in ultrasound biomicroscopy images

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Ophthalmology(English edition) 2023年第10期16卷 1561-1567页

作者： bin Fang Qiu-Jian Zhu hui Yang li-Cheng Fan School of Mechanical and Electrical Engineering Soochow UniversitySuzhou 215100Jiangsu ProvinceChina lixiang Eye Hospital of Soochow University Suzhou 215021 Jiangsu ProvinceChina

AIM:To analyze ultrasound biomicroscopy(UBM)images using random forest network to find new features to make predictions about vault after implantable collamer lens(ICL)***:A total of 450 UBM images were collected from the lixiang Eye Hospital to provide the patient’s preoperative parameters as well as the vault of the ICL after *** vault was set as the prediction target,and the input elements were mainly ciliary sulcus shape parameters,which included 6 angular parameters,2 area parameters,and 2 parameters,distance between ciliary sulci,and anterior chamber height.A random forest regression model was applied to predict the vault,with the number of base estimators(n_estimators)of 2000,the maximum tree depth(max_depth)of 17,the number of tree features(max_features)of Auto,and the random state(random_state)of ***:Among the parameters selected in this study,the distance between ciliary sulci had a greater importance proportion,reaching 52%before parameter optimization is performed,and other features had less influence,with an importance proportion of about 5%.The importance of the distance between the ciliary sulci increased to 53% after parameter optimization,and the importance of angle 3 and area 1 increased to 5% and 8%respectively,while the importance of the other parameters remained unchanged,and the distance between the ciliary sulci was considered the most important *** features,although they accounted for a relatively small proportion,also had an impact on the vault *** parameter optimization,the best prediction results were obtained,with a predicted mean value of 763.688μm and an actual mean value of 776.9304μ*** R²was 0.4456 and the root mean square error was ***:A study based on UBM images using random forest network can be performed for prediction of the vault after ICL implantation and can provide some reference for ICL size selection.

关键词： random forest network ultrasound biomicroscopy images vault prediction implantable collamer lens

Bacterial communities fluctuate in abundance and diversity under simulated oil-contaminated seawater conditions

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Oceanology and limnology 2019年第2期37卷 615-627页

作者： li Xiaohong YOU Cai QU liang ZHOU bin TANG Xuexi XIAO hui College of Marine life Sciences Ocean University of China Qingdao 266003 China Laboratory for Marine Ecology and Environmental Science Qingdao National Laboratory for Marine Science and Technology Qingdao 266071 China Institute of Oceanology Chinese Academy of Sciences Qingdao 266071 China CNOOC limited Tianjin Branch Tianjin 300459 China

Marine bacteria have recently been identified as a potent solution for petroleum hydrocarbon degradation in response to hazardous oceanic oil spills. In this study, a mesocosm experiment simulating a petroleum spill event was performed to investigate changes in the abundance, structure, and productivity of bacterial communities in response to oil pollution. Cultured heterotrophic bacteria and total bacteria showed a consistent trend involving an immediate decrease in abundance, followed by a slight increase, and a steady low-level thereafter. However, the changing trend of bacterial productivity based on bacterial biomass and bacterial volume showed the opposite trend. In addition, the density of oil-degrading bacteria increased initially, then subsequently declined. The change in the bacterial community structure at day 0 and day 28 were also analyzed by amplified ribosomal DNA restriction analysis (ARDRA), which indicated that the species diversity of the bacterial community changed greatly after oil pollution. Alphaproteobacteria (40.98%) replaced Epsilonproteobacteria (51.10%) as the most abundant class, and Gammaproteobacteria (38.80%) became the second most dominant class in the whole bacterial community. The bacterial communities in oil-contaminated seawater (32 genera) became much more complex than those found in the natural seawater sample (16 genera). The proportion of petroleum-degrading bacteria in the oil-contaminated seawater also increased. In this study, culture-dependent and culture-independent approaches were combined to elucidate changes in both bacterial productivity and community structure. These findings will contribute to a better understanding of the role that bacteria play in material cycling and degradation in response to oil pollution.

关键词： petroleum pollution bacterial community bacterial growth amplified ribosomal DNA restriction analysis (ARDRA)

Deep Learning-Based Secure Transmission Strategy with Sensor-Transmission-Computing linkage for Power Internet of Things

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第3期78卷 3267-3282页

作者： bin li linghui Kong Xiangyi Zhang Bochuo Kou hui Yu Bowen liu State Grid Beijing Urban District Power Supply Company Beijing100034China

The automatic collection of power grid situation information, along with real-time multimedia interaction between the front and back ends during the accident handling process, has generated a massive amount of power grid data. While wireless communication offers a convenient channel for grid terminal access and data transmission, it is important to note that the bandwidth of wireless communication is limited. Additionally, the broadcast nature of wireless transmission raises concerns about the potential for unauthorized eavesdropping during data transmission. To address these challenges and achieve reliable, secure, and real-time transmission of power grid data, an intelligent security transmission strategy with sensor-transmission-computing linkage is proposed in this paper. The primary objective of this strategy is to maximize the confidentiality capacity of the system. To tackle this, an optimization problem is formulated, taking into consideration interruption probability and interception probability as constraints. To efficiently solve this optimization problem, a low-complexity algorithm rooted in deep reinforcement learning is designed, which aims to derive a suboptimal solution for the problem at hand. Ultimately, through simulation results, the validity of the proposed strategy in guaranteed communication security, stability, and timeliness is substantiated. The results confirm that the proposed intelligent security transmission strategy significantly contributes to the safeguarding of communication integrity, system stability, and timely data delivery.

关键词： Secure transmission deep learning power Internet of Things sensor-transmission-computing