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近二十年我国数形结合思想研究知识图谱分析

福建教育学院学报 2024年第1期25卷 72-75页

作者：陈婷邱爱萍周凤燕绍兴文理学院浙江绍兴312000

以2000—2022年CNKI数据库中研究数形结合思想的1044篇期刊论文为数据来源,利用CiteSpace软件进行分析。就该领域近二十年的发文量变化趋势、作者与研究机构、热点关键词三个方面进行数据可视化,梳理出数形结合思想研究的三类聚类标签,... 详细信息

以2000—2022年CNKI数据库中研究数形结合思想的1044篇期刊论文为数据来源,利用CiteSpace软件进行分析。就该领域近二十年的发文量变化趋势、作者与研究机构、热点关键词三个方面进行数据可视化,梳理出数形结合思想研究的三类聚类标签,并就第三类聚类标签结合初、高中学段的圆锥曲线、不等式、一次函数三个知识点展开具体内容分析。对未来数形结合思想的研究提出三点建议:培育数形结合思想研究的学术共同体;重视运用现代信息技术;建立数形结合思想的评价体系。

关键词：数形结合知识图谱 CiteSpace 可视化分析

Optimal search path planning of UUV in battlefeld ambush scene

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Defence Technology（防务技术） 2024年第2期32卷 541-552页

作者： Wei feng yan Ma Heng Li Haixiao Liu Xiangyao Meng Mo zhou Naval Research Institute Beijing100161China

Aiming at the practical application of Unmanned Underwater Vehicle(UUV)in underwater combat,this paper proposes a battlefield ambush scene with UUV considering ocean ***,by establishing these mathematical models of ocean current environment,target movement,and sonar detection,the probability calculation methods of single UUV searching target and multiple UUV cooperatively searching target are given ***,based on the Hybrid Quantum-behaved Particle Swarm Optimization(HQPSO)algorithm,the path with the highest target search probability is ***,through simulation calculations,the influence of different UUV parameters and target parameters on the target search probability is analyzed,and the minimum number of UUVs that need to be deployed to complete the ambush task is demonstrated,and the optimal search path scheme is *** method proposed in this paper provides a theoretical basis for the practical application of UUV in the future combat.

关键词： Battlefield ambush Optimal search path planning UUV path Planning Probability of cooperative search

Microstructure,wear and friction behavior of CoCrAITaY-xCNTs composite coatings deposited by laser-induction hybrid cladding

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Rare Metals 2024年第4期43卷 1815-1827页

作者： Sheng-feng zhou Yu Long yan-Liang Yi Cheng Deng Lian-Xi Hu Institute of Advanced Wear&Corrosion Resistant and Functional Materials Jinan UniversityGuangzhou510632China Wuhan National Laboratory for Optoelectronics(WNLO) Huazhong University of Science and TechnologyWuhan430074China MOE Key Laboratory of New Processing Technology for Non-Ferrous Metals and Materials Guangxi Key Laboratory of Processing for Non-Ferrous Metals and Featured MaterialsGuangxi UniversityNanning530004China School of Mechatronics Engineering Guangdong Polytechnic Normal UniversityGuangzhou510635China School of Materials Science and Engineering Harbin Institute of TechnologyHarbin150001China

To improve the wear performance of CoCrAlYTa coating,part of the carbon nanotubes(CNTs)chemically reacted with Ta to form reinforcement phase(TaC),while the other CNTs were retained as lubrication ***,the CoCrAlYTa-xCNTs(x=0,1,2,and 4;wt%)composite coatings were prepared by laserinduction hybrid cladding(LIHC),and the microstructure and wear resistance of coatings were systematically *** show that the coatings are mainly composed of TaC,y-(Co,Cr)andβ-(Co,Cr)*** the CNTs content increases from 0 wt%to 4 wt%,the volume fraction of TaC increases from 13.11 vol%to 16.12 vol%.Meanwhile,the nano-hardness ofγ-(Co,Cr)andβ-(Co,Cr)Al are improved from 7.49 and 9.72 to 9.36 and 11.19 GPa,*** a result,the microhardness of coating increases from HV536.25 to HV 738.16,the wear rate decreases from32.4×10^(-3)to 6.1×10^(-3)mg·m^(-1),and the average friction coefficient decreases from 0.55 to *** good wear performance of the coating is attributed to the formation of TaC and the existence of remained CNTs lubricant film.

关键词： Carbon nanotube MCrAlY coating Friction and wear performance Laser-induction hybrid cladding

Two-Staged Method for Ice Channel Identification Based on Image Segmentation and Corner Point Regression

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China Ocean Engineering 2024年第2期38卷 313-325页

作者： DONG Wen-bo zhou Li DING Shi-feng WANG Ai-ming CAI Jin-yan School of Naval Architecture and Ocean Engineering Jiangsu University of Science and TechnologyZhenjiang 212003China School of Naval Architecture Ocean and Civil EngineeringShanghai Jiao Tong UniversityShanghai 200240China

Identification of the ice channel is the basic technology for developing intelligent ships in ice-covered waters,which is important to ensure the safety and economy of *** the Arctic,merchant ships with low ice class often navigate in channels opened up by *** in the ice channel often depends on good maneuverability skills and abundant experience from the captain to a large *** ship may get stuck if steered into ice fields off the *** this circumstance,it is very important to study how to identify the boundary lines of ice channels with a reliable *** this paper,a two-staged ice channel identification method is developed based on image segmentation and corner point *** first stage employs the image segmentation method to extract channel *** the second stage,an intelligent corner regression network is proposed to extract the channel boundary lines from the channel region.A non-intelligent angle-based filtering and clustering method is proposed and compared with corner point regression *** training and evaluation of the segmentation method and corner regression network are carried out on the synthetic and real ice channel *** evaluation results show that the accuracy of the method using the corner point regression network in the second stage is achieved as high as 73.33%on the synthetic ice channel dataset and 70.66%on the real ice channel dataset,and the processing speed can reach up to 14.58frames per second.

关键词： ice channel ship navigation identification image segmentation corner point regression

Roles of nanoparticles in arsenic mobility and microbial community composition in arsenic-enriched soils

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Journal of Environmental Sciences 2024年第4期138卷 301-311页

作者： Ting Luo Qining Zheng Jie Yu Weihao Liang yan Sun Guixiang Quan feng zhou School of Environmental Science and Engineering Yancheng Institute of TechnologyYancheng 224051China Jiangsu Provincial Key Laboratory of Coastal Ecology and Pollution Control Yancheng 224051China School ofEnvironment and Civil Engineering Jiangnan UniversityWuxi 214122China

Environmental effects of nano remediation engineering of arsenic(As)pollution need to be *** this study,the roles of Fe_(2)O_(3)and TiO_(2)nanoparticles(NPs)on the microbial mediated As mobilization from As contaminated soil were *** addition of Fe_(2)O_(3)and TiO_(2)NPs restrained As(V)release,and stimulated As(Ⅲ)***(V)concentration decreased by 94% and 93% after Fe_(2)O_(3)addition,and decreased by 89% and 45% after Ti O_(2)addition compared to the Biotic and Biotic+Acetate(amended with sodium acetate)controls,*** maximum values of As(Ⅲ)were 20.5 and 27.1μg/L at 48 d after Fe_(2)O_(3)and TiO_(2)NPs addition,respectively,and were higher than that in Biotic+Acetate control(12.9μg/L).The released As co-precipitated with Fe in soils in the presence of Fe_(2)O_(3)NPs,but adsorbed on TiO_(2)NPs in the presence of TiO_(2)***,the addition of NPs amended with sodium acetate as the electron donor clearly promoted As(V)reduction induced by *** NPs addition changed the relative abundance of soil bacterial community,while Proteobacteria(42.8%-70.4%),Planctomycetes(2.6%-14.3%),and Firmicutes(3.5%-25.4%)were the dominant microorganisms in *** potential As/Fe reducing bacteria were related to Pseudomonas,Geobacter,Desulfuromonas,and *** addition of Fe_(2)O_(3)and TiO_(2)NPs induced to the decrease of arr A *** results indicated that the addition of NPs had a negative impact on soil microbial population in a long *** findings offer a relatively comprehensive assessment of Fe_(2)O_(3)and TiO_(2)NPs effects on As mobilization and soil bacterial communities.

关键词： Fe_(2)O_(3)and TiO_(2)nanoparticles Arsenic reduction Mobilization Functional gene Microbial community

Early prediction of growth patterns after pediatric kidney transplantation based on height-related single-nucleotide polymorphisms

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Chinese Medical Journal 2024年第10期137卷 1199-1206页

作者： Yi feng Yonghua feng Mingyao Hu Hongen Xu Zhigang Wang Shicheng Xu Yongchuang yan Chenghao feng zhou Li Guiwen feng Wenjun Shang Department of Renal Transplantation The First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenan 450052China Precision Medicine Center Academy of Medical ScienceZhengzhou UniversityZhengzhouHenan 450052China

Background:Growth retardation is a common complication of chronic kidney disease in children,which can be partially relieved after renal *** study aimed to develop and validate a predictive model for growth patterns of children with end-stage renal disease(ESRD)after kidney transplantation using machine learning algorithms based on genomic and clinical ***:A retrospective cohort of 110 children who received kidney transplants between May 2013 and September 2021 at the First Affiliated Hospital of Zhengzhou University were recruited for whole-exome sequencing(WES),and another 39 children who underwent transplant from October 2021 to March 2022 were enrolled for external *** on previous studies,we comprehensively collected 729 height-related single-nucleotide polymorphisms(SNPs)in exon *** machine learning algorithms and 10-fold cross-validation analysis were employed for model ***:The 110 children were divided into two groups according to change in height-for-age *** univariate analysis,age and 19 SNPs were incorporated into the model and *** random forest model showed the best prediction efficacy with an accuracy of 0.8125 and an area under curve(AUC)of 0.924,and also performed well in the external validation cohort(accuracy,0.7949;AUC,0.796).Conclusions:A model with good performance for predicting post-transplant growth patterns in children based on SNPs and clinical variables was constructed and validated using machine learning *** model is expected to guide clinicians in the management of children after renal transplantation,including the use of growth hormone,glucocorticoid withdrawal,and nutritional supplementation,to alleviate growth retardation in children with ESRD.

关键词： Growth Machine learning Pediatric kidney transplantation Single-nucleotide polymorphism

Ginsenoside modified lipid-coated perfluorocarbon nanodroplets: A novel approach to reduce complement protein adsorption and prolong in vivo circulation

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Acta Pharmaceutica Sinica B 2024年第4期14卷 1845-1863页

作者： Jie zhou Binyang Gao Huan Zhang Rui yang Jianbo Huang Xin Li Yi Zhong yan Wang Xiaoxia Zhu yan Luo feng yan Ultrasound Department of West China Hospital Sichuan UniversityChengdu 610041China Laboratory of Ultrasound Imaging of West China Hospital Sichuan UniversityChengdu 610041China West China Washington Mitochondria and Metabolism Research Center West China HospitalSichuan UniversityChengdu 610041China Research Core Facilities of West China Hospital Sichuan UniversityChengdu 610041China

Lipid-coated perfluorocarbon nanodroplets(lp-NDs)hold great promise in bio-medicine as vehicles for drug delivery,molecular imaging and vaccine ***,their clinical utility is restricted by limited targeted accumulation,attributed to the innate immune system(IIS),which acts as the initial defense mechanism in *** study aimed to optimize lp-ND formulations to mini-mize non-specific clearance by the ***(Gs),the principal components of Panax ginseng,possessing complement inhibition ability,structural similarity to cholesterol,and comparable fat solubi-lity to phospholipids,were used as promising candidate IIS *** different types of ginsenoside-based Ip-NDs(Gs Ip-NDs)were created,and their efficacy in reducing IS recognition was *** Gs p-NDs were observed to inhibit the adsorption of C3 in the protein corona(PC)and the generation of *** Gs to Ip-NDs reduced complement adsorption and phagocytosis,resulting in a longer blood circulation time in vivo compared to lp-NDs that did not contain *** results suggest that Gs can act as anti-complement and anti-phagocytosis adjuvants,potentially reducing non-specific clear-ance by the IS and improving lifespan.

关键词： Lipid-coated perfluorocarbon nanodroplets Protein corona Complement C3 Phagocytosis Ginsenosidelipid-coated perfluorocarbon nanodroplets Innate immune system Complement system Mononuclear phagocytic system

Probabilistic modeling of multifunction radars with autoregressive kernel mixture network

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Defence Technology（防务技术） 2024年第5期35卷 275-288页

作者： Hancong feng Kaili.Jiang Zhixing zhou Yuxin Zhao Kailun Tian Haixin yan Bin Tang School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu 611731China

The task of modeling and analyzing intercepted multifunction radars(MFRs)pulse trains is vital for cognitive electronic *** methodologies predominantly rely on prior information or heavily constrained models,posing challenges for non-cooperative *** paper introduces a novel approach to model MFRs using a Bayesian network,where the conditional probability density function is approximated by an autoregressive kernel mixture network(ARKMN).Utilizing the estimated probability density function,a dynamic programming algorithm is proposed for denoising and detecting change points in the intercepted MFRs pulse *** results affirm the proposed method's efficacy in modeling MFRs,outperforming the state-of-the-art in pulse train denoising and change point detection.

关键词： Probabilistic forecasting Multifunction radar Unsupervised learning Change point detection Outlier detection

Binary Hybrid Artificial Hummingbird with Flower Pollination Algorithm for Feature Selection in Parkinson’s Disease Diagnosis

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Journal of Bionic Engineering 2024年第2期21卷 1003-1021页

作者： Liuyan feng Yongquan zhou Qifang Luo College of Artificial Intelligence Guangxi University for NationalitiesNanning530006China Xiangsihu College of Guangxi University for Nationalities Nanning532100GuangxiChina Guangxi Key Laboratories of Hybrid Computation and IC Design Analysis Nanning530006China

Parkinson’s disease is a neurodegenerative disorder that inflicts irreversible damage on *** experimental data regarding Parkinson’s patients are redundant and irrelevant,posing significant challenges for disease ***,there is a need to devise an effective method for the selective extraction of disease-specific information,ensuring both accuracy and the utilization of fewer *** this paper,a Binary Hybrid Artificial Hummingbird and Flower Pollination Algorithm(FPA),called BFAHA,is proposed to solve the problem of Parkinson’s disease diagnosis based on speech ***,combining FPA with Artificial Hummingbird Algorithm(AHA)can take advantage of the strong global exploration ability possessed by FPA to improve the disadvantages of AHA,such as premature convergence and easy falling into local ***,the Hemming distance is used to determine the difference between the other individuals in the population and the optimal individual after each iteration,if the difference is too significant,the cross-mutation strategy in the genetic algorithm(GA)is used to induce the population individuals to keep approaching the optimal individual in the random search process to speed up finding the optimal ***,an S-shaped function converts the improved algorithm into a binary version to suit the characteristics of the feature selection(FS)*** this paper,10 high-dimensional datasets from UCI and the ASU are used to test the performance of BFAHA and apply it to Parkinson’s disease *** with other state-of-the-art algorithms,BFAHA shows excellent competitiveness in both the test datasets and the classification problem,indicating that the algorithm proposed in this study has apparent advantages in the field of feature selection.

关键词： Artificial Hummingbird Algorithm Flower pollination algorithm Feature selection Parkinson’s disease Meta-heuristic