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BSTFNet:An Encrypted Malicious Traffic Classification Method Integrating Global Semantic and Spatiotemporal Features

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Computers, Materials & Continua 2024年第3期78卷 3929-3951页

作者： Hong Huang Xingxing zhang ye Lu Ze Li Shaohua Zhou School of Computer Science and Engineering Sichuan University of Science&EngineeringYibin644002China School of Mathematics and Statistics Sichuan University of Science&EngineeringYibin644002China

While encryption technology safeguards the security of network communications,malicious traffic also uses encryption protocols to obscure its malicious *** address the issues of traditional machine learning methods relying on expert experience and the insufficient representation capabilities of existing deep learning methods for encrypted malicious traffic,we propose an encrypted malicious traffic classification method that integrates global semantic features with local spatiotemporal features,called BERT-based Spatio-Temporal Features Network(BSTFNet).At the packet-level granularity,the model captures the global semantic features of packets through the attention mechanism of the Bidirectional Encoder Representations from Transformers(BERT)*** the byte-level granularity,we initially employ the Bidirectional Gated Recurrent Unit(BiGRU)model to extract temporal features from bytes,followed by the utilization of the Text Convolutional Neural Network(TextCNN)model with multi-sized convolution kernels to extract local multi-receptive field spatial *** fusion of features from both granularities serves as the ultimate multidimensional representation of malicious *** approach achieves accuracy and F1-score of 99.39%and 99.40%,respectively,on the publicly available USTC-TFC2016 dataset,and effectively reduces sample confusion within the Neris and Virut *** experimental results demonstrate that our method has outstanding representation and classification capabilities for encrypted malicious traffic.

关键词： Encrypted malicious traffic classification bidirectional encoder representations from transformers text convolutional neural network bidirectional gated recurrent unit

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An ultra-sensitive biosensor for circulating microRNA detection with Fe single-atom enhanced cathodic luminol-O_(2) electrochemiluminescence

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Nano Research 2024年第9期17卷 7926-7934页

作者： Yudie Sun Yunxiang Han Mingyue Wang Mingfu ye Konglin Wu Kui zhang School of Chemistry and Chemical Engineering Anhui University of TechnologyMa'anshan 243032China Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science MOEQingdao University of Science and TechnologyQingdao 266042China Engineering Research Center of Biofilm Water Purification and Utilization Technology of Ministry of Education Anhui University of TechnologyMa'anshan 243032China

Circulating microRNAs(miRNAs)play a pivotal role in the occurrence and development of acute myocardial infarction(AMI),and precise detection of them holds significant clinical *** development of luminol-based luminophores in the field of electrochemiluminescence(ECL)for miRNA detection has been significant,while their effectiveness is hindered by the instability of co-reactant hydrogen peroxide(H_(2)O_(2)).In this work,an iron single-atom catalyst(Fe-PNC)was employed for catalyzing the luminol-O_(2) ECL system to achieve ultra-sensitive detection of myocardial *** miRNA triggers a hybridization chain reaction(HCR),resulting in the generation of a DNA product featuring multiple sticky ends that facilitate the attachment of Fe-PNC probes to the electrode *** Fe-PNC catalyst exhibits high promise and efficiency for the oxygen reduction reaction(ORR)in electrochemical energy conversion *** resulting ECL biosensor allowed ultrasensitive detection of myocardial miRNA with a low detection limit of 0.42 fM and a wide linear range from 1 fM to 1.0 ***,it demonstrates exceptional performance when evaluated using serum samples collected from patients with *** work expands the application of single-atom catalysis in ECL sensing and introduces novel perspectives for utilizing ECL in disease diagnosis.

关键词： circulating miRNAs single-atom catalyst luminol-O_(2) electrochemiluminescence hybridization chain reaction

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An Improved Solov2 Based on Attention Mechanism and Weighted Loss Function for Electrical Equipment Instance Segmentation

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Computers, Materials & Continua 2024年第1期78卷 677-694页

作者： Junpeng Wu Zhenpeng Liu Xingfan Jiang Xinguang Tao ye zhang Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China School of Electrical Engineering Northeast Electric Power UniversityJilin132012China Baishan Power Supply Company State Grid Jilin Electric Power CoLtd.Jilin134300China

The current existing problem of deep learning framework for the detection and segmentation of electrical equipment is dominantly related to low *** of the reliable,safe and easy-to-operate technology provided by deep learning-based video surveillance for unmanned inspection of electrical equipment,this paper uses the bottleneck attention module(BAM)attention mechanism to improve the Solov2 model and proposes a new electrical equipment segmentation ***,the BAM attention mechanism is integrated into the feature extraction network to adaptively learn the correlation between feature channels,thereby improving the expression ability of the feature map;secondly,the weighted sum of CrossEntropy Loss and Dice loss is designed as the mask loss to improve the segmentation accuracy and robustness of the model;finally,the non-maximal suppression(NMS)algorithm to better handle the overlap problem in instance *** results show that the proposed method achieves an average segmentation accuracy of mAP of 80.4% on three types of electrical equipment datasets,including transformers,insulators and voltage transformers,which improve the detection accuracy by more than 5.7% compared with the original Solov2 *** segmentation model proposed can provide a focusing technical means for the intelligent management of power systems.

关键词： Deep learning electrical equipment attention mechanism weighted loss function

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Chinese version of the Perth Alexithymia Questionnaire:psychometric properties and clinical applications

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General Psychiatry 2024年第2期37卷 274-283页

作者： Xin-Lu Cai Qingying ye Ke Ni lin Zhu Qian zhang Minmin Yin Zhe zhang Wei Wei David A.Preece Bao-Ming Li Institute of Brain Science and Department of Physiology School of Basic Medical SciencesHangzhou Normal UniversityHangzhouZhejiangChina Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare Hangzhou Normal UniversityHangzhouZhejiangChina Qiqihar Mental Health Center QiqiharChina Department of Special Education Faculty of EducationHangzhou Normal UniversityHangzhouZhejiangChina Department of Neurobiology Affiliated Mental Health Center&Hangzhou Seventh People's Hospital Zhejiang University School of MedicineHangzhouZhejiangChina Liangzhu Laboratory MOE Frontier Science Center for Brain Science and Brain-machine IntegrationState Key Laboratory of Brain-machine IntelligenceZhejiang UniversityHangzhouZhejiangChina NHC and CAMS Key Laboratory of Medical Neurobiology Zhejiang UniversityHangzhouChina School of Population Health and Curtin enAble Institute Curtin UniversityPerthWestern AustraliaAustralia School of Psychological ScienceThe University of Western AustraliaPerthWestern AustraliaAustralia

Background The alexithymia trait is of high clinical *** Perth Alexithymia Questionnaire(PAQ)was recently developed to enable detailed facet-level and valence-specific assessments of *** In this paper,we introduce the first Chinese version of the PAQ and examine its psychometric properties and clinical *** In Study 1,the PAQ was administered to 990 Chinese *** examined its factor structure,internal consistency,test-retest reliability,as well as convergent,concurrent and discriminant *** Study 2,four groups,including a major depressive disorder(MDD)group(n=50),a matched healthy control group for MDD(n=50),a subclinical depression group(n=50)and a matched healthy control group for subclinical depression(n=50),were *** comparisons were conducted to assess the clinical relevance of the *** In Study 1,the intended five-factor structure of the PAQ was found to fit the data *** PAQ showed good internal consistency and test-retest reliability,as well as good convergent,concurrent and discriminant *** Study 2,the PAQ was able to successfully distinguish the MDD group and the subclinical depression group from their matched healthy *** The Chinese version of the PAQ is a valid and reliable instrument for comprehensively assessing alexithymia in the general population and adults with clinical/subclinical depression.

关键词： clinical instrument matched

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Buckling Optimization of Curved Grid Stiffeners through the Level Set Based Density Method

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 711-733页

作者： Zhuo Huang ye Tian Yifan zhang Tielin Shi Qi Xia State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and TechnologyWuhan430074China

Stiffened structures have great potential for improvingmechanical performance,and the study of their stability is of great *** this paper,the optimization of the critical buckling load factor for curved grid stiffeners is solved by using the level set based density method,where the shape and cross section(including thickness and width)of the stiffeners can be optimized *** grid stiffeners are a combination ofmany single stiffenerswhich are projected by the corresponding level set *** thickness and width of each stiffener are designed to be independent variables in the projection applied to each level set ***,the path of each single stiffener is described by the zero iso-contour of the level set *** the single stiffeners are combined together by using the p-norm method to obtain the stiffener *** proposed method is validated by several numerical examples to optimize the critical buckling load factor.

关键词： Stiffener buckling optimization shape and cross section level set based density

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A novel model of the carbon cycle in the Cambrian ocean

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Science China Earth Sciences 2024年第6期67卷 1759-1778页

作者： Huajian WANG Shuichang zhang Xiaomei WANG Jin SU Yuntao ye Yuke LIU Key Laboratory of Petroleum Geochemistry Research Institute of Petroleum Exploration and DevelopmentChina National Petroleum CorporationBeijing 100083China Key Laboratory of Orogenic Belts and Crustal Evolution School of Earth and Space SciencesPeking UniversityBeijing 100871China

The classic model of the carbon cycle suggests that the extensive burial of ^(12)C-enriched organic carbon leads to a positive carbon isotope(δ^(13)C)excursion(CIE),while massive oxidation of organic carbon results in a negative ***,global events such as the BAsal Cambrian Carbon isotope Excursion(BACE)and the Steptoean Positive Carbon Isotope Excursion(SPICE)are global negative and positive δ^(13)C excursions,respectively,and they also exhibit significant organic carbon burial anomalies,displaying decoupling between carbon isotope anomalies and organic carbon *** on the analyses of the Cambrian carbon cycle and paleoceanographic evolution records from well Tadong2 in the Tarim Basin,we propose a novel model of the carbon cycle in the Cambrian ocean that incorporates oceanic dissolved organic carbon(DOC).Our findings are as follows.(1)The Cambrian ocean maintained substantial DOC reservoirs,which were regulated by ocean currents and paleo-redox conditions and exerted significant influence on the oceanic carbon cycle.(2)The oxidation of the oceanic DOC reservoirs during the early Cambrian led to the BACE and the Asian Phenomenon of the Cambrian petroleum systems,while the expansion of the oceanic DOC reservoirs during the SPICE resulted in a global positive δ^(13)C excursion and the absence of significant organic carbon burial.(3)The deep-basin sedimentary environment in the eastern depression of the Tarim Basin may have fostered the development of organic-rich black shales during the Furongian Series,corresponding to organic carbon burial during the SPICE and representing potential prospects for ultra-deep oil and gas *** research should focus on the formation mechanism,reserve scale,and influencing factors of the oceanic DOC reservoirs,as well as their resource and environmental *** is expected that new breakthroughs will be made in the fields of Earth system science and oil and gas exploration.

关键词： Carbon isotope Organic carbon BACE SPICE Dissolved organic carbon Climate change Black shale

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BDPartNet: Feature Decoupling and Reconstruction Fusion Network for Infrared and Visible Image

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Computers, Materials & Continua 2024年第6期79卷 4621-4639页

作者： Xuejie Wang Jianxun zhang ye Tao Xiaoli Yuan Yifan Guo Department of Computer Science and Engineering Chongqing University of TechnologyChongqing400054China Liangjiang Institute of Artificial Intelligence Chongqing University of TechnologyChongqing400054China

While single-modal visible light images or infrared images provide limited information,infrared light captures significant thermal radiation data,whereas visible light excels in presenting detailed texture ***-bining images obtained from both modalities allows for leveraging their respective strengths and mitigating individual limitations,resulting in high-quality images with enhanced contrast and rich texture *** capabilities hold promising applications in advanced visual tasks including target detection,instance segmentation,military surveillance,pedestrian detection,among *** paper introduces a novel approach,a dual-branch decomposition fusion network based on AutoEncoder(AE),which decomposes multi-modal features into intensity and texture information for enhanced *** contrast enhancement module(CEM)and texture detail enhancement module(DEM)are devised to process the decomposed images,followed by image fusion through the *** proposed loss function ensures effective retention of key information from the source images of both *** comparisons and generalization experiments demonstrate the superior performance of our network in preserving pixel intensity distribution and retaining texture *** the qualitative results,we can see the advantages of fusion details and local *** the quantitative experiments,entropy(EN),mutual information(MI),structural similarity(SSIM)and other results have improved and exceeded the SOTA(State of the Art)model as a whole.

关键词： Deep learning feature enhancement computer vision

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On the superconvergence of a WG method for the elliptic problem with variable coefficients

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Science China Mathematics 2024年第8期67卷 1899-1910页

作者： Junping Wang Xiaoshen Wang Xiu ye Shangyou zhang Peng Zhu Division of Mathematical Sciences National Science FoundationAlexandriaVA 22314USA Department of Mathematics University of Arkansas at Little RockLittle RockAR 72204USA Department of Mathematical Sciences University of DelawareNewarkDE 19716USA College of Data Science Jiaxing UniversityJiaxing 314001China

This article extends a recently developed superconvergence result for weak Galerkin(WG)approximations for modeling partial differential equations from constant coefficients to variable *** superconvergence features a rate that is two orders higher than the optimal-order error estimates in the usual energy and L^(2)*** extension from constant to variable coefficients for the modeling equations is highly *** underlying technical analysis is based on a sequence of projections and *** results confirm the superconvergence theory for second-order elliptic problems with variable coefficients.

关键词： weak Galerkin finite element methods superconvergence second-order elliptic problems stabilizerfree

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Adaptive mutation sparrow search algorithm-Elman-AdaBoost model for predicting the deformation of subway tunnels

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Underground Space 2024年第4期17卷 320-360页

作者： Xiangzhen Zhou Wei Hu Zhongyong zhang Junneng ye Chuang Zhao Xuecheng Bian MOE Key Laboratory of Soft Soils and Geoenvironmental Engineering College of Civil Engineering and ArchitectureZhejiang UniversityHangzhou 310058China Hangzhou Canal Group Construction Management Co.LTD Hangzhou 310015China Ningbo Rail Transit Project Construction Headquarter Ningbo 315012China Center for Hypergravity Experimental and Interdisciplinary Research Zhejiang UniversityHangzhou 310058China

A novel coupled model integrating Elman-AdaBoost with adaptive mutation sparrow search algorithm(AM-SSA),called AMSSAElman-AdaBoost,is proposed for predicting the existing metro tunnel deformation induced by adjacent deep excavations in soft *** novelty is that the modified SSA proposes adaptive adjustment strategy to create a balance between the capacity of exploitation and *** AM-SSA,firstly,the population is initialized by cat mapping chaotic sequences to improve the ergodicity and randomness of the individual sparrow,enhancing the global search *** the individuals are adjusted by Tent chaotic disturbance and Cauchy mutation to avoid the population being too concentrated or scattered,expanding the local search ***,the adaptive producer-scrounger number adjustment formula is introduced to balance the ability to seek the global and local *** addition,it leads to the improved algorithm achieving a better accuracy level and convergence speed compared with the original *** demonstrate the effectiveness and reliability of AM-SSA,23 classical benchmark functions and 25 IEEE Congress on Evolutionary Computation benchmark test functions(CEC2005),are employed as the numerical examples and investigated in comparison with some wellknown optimization *** statistical results indicate the promising performance of AM-SSA in a variety of optimization with constrained and unknown search *** utilizing the AdaBoost algorithm,multiple sets of weak AMSSA-Elman predictor functions are restructured into one strong predictor by successive iterations for the tunnel deformation prediction ***,the on-site monitoring data acquired from a deep excavation project in Ningbo,China,were selected as the training and testing ***,the predictive outcomes are compared with those of other different optimization and machine learning *** the end,the obtained results in this real-world geotechnical eng

关键词： Adjacent deep excavations Existing subway tunnels Adaptive mutation sparrow search algorithm Metaheuristic optimization Benchmark test functions Elman neural networks

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PDGFR in PDGF-BB/PDGFR Signaling Pathway Does Orchestrates Osteogenesis ina Temporal Manner

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Research 2024年第1期2023卷 33-48页

作者： Fangqian Wang Yuxiao ye Zengjie zhang Wangsiyuan Teng Hangxiang Sun Xupeng Chai Xingzhi Zhou Jiayu Chen Haochen Mou Yinwang Eloy Xiaoqiang Jin Liang Chen Zhenxuan Shao Yan Wu Yue Shen An Liu Peng lin Jianwei Wang Xiaohua Yu Zhaoming ye Department of Orthopedic Surgery the Second Affiliated HospitalZhejang University School of MedicineHangzhou CityZhejiang ProvincePR China Orthopedics Research Institute of Zhejang University Hangzhou CityZhejiang ProvincePR China Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province Hangzhou CityZhejiang ProvincePR China School of Material Science and Engineering University of New South WalesSydney 2052Australia

Platelet-derived growth factor-BB(PDGF-BB)/platelet-derived growth factor receptor-β(PDGFR-β)pathway is conventionally considered as an important pathway to promote osteogenesis;however,recent study suggested its role during osteogenesis to be *** the differential functions of this pathway during 3 stages of bone healing,we hypothesized that temporal inhibition of PDGF-BB/PDGFR-βpathway could shift the proliferation/differentiation balance of skeletal stem and progenitor cells,toward osteogenic lineage,which leads to improved bone *** first validated that inhibition of PDGFR-βat late stage of osteogenic induction effectively enhanced differentiation toward *** effect was also replicated invivo by showing accelerated bone formation when block PDGFR-βpathway at late stage of critical bone defect healing mediated using ***,we found that such PDGFR-βinhibitor-initiated bone healing was also effective in the absence of scaffold implantation when administrated ***,timely inhibition of PDGFR-βblocked extracellular regulated protein kinase 1/2 pathway,which shift proliferation/differentiation balance of skeletal stem and progenitor cell to osteogenic lineage by upregulating osteogenesis-related products of Smad to induce *** study offered updated understanding of the use of PDGFR-βpathway and provides new insight routes of action and novel therapeutic methods in the field of bone repair.

关键词： healing sized implantation

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