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n-octyl acrylate is a candidate sex pheromone component involved in courtship in parasitoid wasp Microplitis mediator

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Insect Science 2024年第4期31卷 1200-1210页

作者： Yu-Xiao Tao Shuang shan Youssef Dewer shan-Ning Wang Adel Khashaveh Rui-Jun Li Yong-Jun Zhang State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijingChina College of Plant Protection Agricultural University of HebeiBaodingHebei ProvinceChina Bioassay Research Department Central Agricultural Pesticide LaboratorySabahia Plant Protection Research StationAgricultural Research CenterAlexandriaEgypt Beijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China Institute of Plant ProtectionBeijing Academy of Agriculture and Forestry SciencesBeijingChina

Sex pheromones are considered to play critical roles in partner communication of most parasitic ***,the identification of sex pheromone components remains limited to a few families of parasitoid *** this study,we functionally characterized a candidate sex pheromone component in Microplitis mediator(Hymenoptera:Braconidae),a solitary parasitoid of Noctuidae *** found that the body surface extract from female wasps could significantly stimulate courtship behavior of *** chromatography-electroantennographic detection(GC-EAD)analysis revealed that a candidate semiochemical from extract triggered significant electrophysiological response of antennae of *** performing gas chromatography-mass spectrometer(GC-MS)measurement,GC-EAD active compound was identified as n-octyl acrylate,a candidate sex pheromone component in female *** electroantennogram(EAG)tests,antennae of male wasps showed significantly higher electrophysiological responses to n-octyl acrylate than those of females.Y-tube olfactometer assays indicated that male wasps significantly chose n-octyl acrylate compared with the ***,male wasps showed a remarkable preference for n-octyl acrylate in a simulated field condition behavioral trial;simultaneously,n-octyl acrylate standard could also trigger significant courtship behavior in *** propose that n-octyl acrylate,as a candidate vital sex pheromone component,could be utilized to design behavioral regulators of *** to implement the protection and utilization of natural enemies.

关键词： behavioral assay courtship behavior GC-EAD analysis Microplitis mediator sex pheromone

Fake News Detection Based on Cross-Modal Message Aggregation and Gated Fusion Network

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Computers, Materials & Continua 2024年第7期80卷 1521-1542页

作者： Fangfang shan Mengyao Liu Menghan Zhang Zhenyu Wang College of Computer Zhongyuan University of TechnologyZhengzhou450007China Henan Key Laboratory of Cyberspace Situation Awareness Zhengzhou450001China

Social media has become increasingly significant in modern society,but it has also turned into a breeding ground for the propagation of misleading information,potentially causing a detrimental impact on public opinion and daily *** to pure text content,multmodal content significantly increases the visibility and share ability of *** has made the search for efficient modality representations and cross-modal information interaction methods a key focus in the field of multimodal fake news *** effectively address the critical challenge of accurately detecting fake news on social media,this paper proposes a fake news detection model based on crossmodal message aggregation and a gated fusion network(MAGF).MAGF first uses BERT to extract cumulative textual feature representations and word-level features,applies Faster Region-based ConvolutionalNeuralNetwork(Faster R-CNN)to obtain image objects,and leverages ResNet-50 and Visual Geometry Group-19(VGG-19)to obtain image region features and global *** image region features and word-level text features are then projected into a low-dimensional space to calculate a text-image affinity matrix for cross-modal message *** gated fusion network combines text and image region features to obtain adaptively aggregated *** interaction matrix is derived through an attention mechanism and further integrated with global image features using a co-attention mechanism to producemultimodal ***,these fused features are fed into a classifier for news *** were conducted on two public datasets,Twitter and *** show that the proposed model achieves accuracy rates of 91.8%and 88.7%on the two datasets,respectively,significantly outperforming traditional unimodal and existing multimodal models.

关键词： Fake news detection cross-modalmessage aggregation gate fusion network co-attention mechanism multi-modal representation

IHVFL: a privacy-enhanced intention-hiding vertical federated learning framework for medical data

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Cybersecurity 2024年第2期7卷 96-112页

作者： Fei Tang Shikai Liang Guowei Ling Jinyong shan College of Computer Science and Technology Chongqing University of Posts and TelecommunicationsNo.2Chongwen RoadNan'an DistrictChongqing 400065China School of Cyber Security and Information Law Chongqing University of Posts and TelecommunicationsChongqing 400065China sudo Technology Co. LTD.Beijing 100083China

Vertical Federated Learning(VFL)has many applications in the field of smart healthcare with excellent ***,current VFL systems usually primarily focus on the privacy protection during model training,while the preparation of training data receives little *** real-world applications,like smart healthcare,the process of the training data preparation may involve some participant's intention which could be privacy information for this *** protect the privacy of the model training intention,we describe the idea of Intention-Hiding Vertical Feder-ated Learning(IHVFL)and illustrate a framework to achieve this privacy-preserving ***,we construct two secure screening protocols to enhance the privacy protection in feature ***,we implement the work of sample alignment bases on a novel private set intersection ***,we use the logistic regression algorithm to demonstrate the process of *** show that our model can perform better efficiency(less than 5min)and accuracy(97%)on Breast Cancer medical dataset while maintaining the intention-hiding goal.

关键词： Medical data Vertical federated learning Privacy-presserving Intention-hiding Logistic regression

Location of Asymmetric Ground Fault Using Virtual Injected Current Ratio and Two-stage Recovery Strategy in Distribution Networks

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CSEE Journal of Power and Energy Systems 2024年第1期10卷 151-161页

作者： Haiting shan Luliang Zhang Q.H.Wu Mengshi Li School of Electric Power Engineering South China University of Technology(SCUT)Guangzhou 510641China

Sparse measurements challenge fault location in distribution *** paper proposes a method for asymmetric ground fault location in distribution networks with limited measurements.A virtual injected current vector is formulated to estimate the fault line,which can be reconstructed from voltage sags measured at a few buses using compressive sensing(CS).The relationship between the virtual injected current ratio(VICR)and fault position is deduced from circuit analysis to pinpoint the ***,a two-stage recovery strategy is proposed for improving reconstruction accuracy of the current vector,where two different sensing matrixes are utilized to improve the *** proposed method is validated in IEEE 34 node test *** results show asymmetric ground fault type,resistance,fault position and access of distributed generators(DGs)do not significantly influence performance of our *** addition,it works effectively under various scenarios of noisy measurement and line parameter *** on 134 node test feeders prove the proposed method is also suitable for systems with more complex structure.

关键词： Distribution networks fault location reconstruction accuracy two-stage recovery virtual injected current ratio

The potential of biodeposition by ﬁlter-feeding organisms for microplastic remediation in natural waters

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Science Bulletin 2024年第15期69卷 2319-2322页

作者： Liujiang Meng Xiaoxia Sun shan Zheng Jiaozhou Bay National Marine Ecosystem Research Station Institute of OceanologyChinese Academy of SciencesQingdao 266071China Laboratory for Marine Ecology and Environmental Science Qingdao Marine Science and Technology CenterQingdao 266237China University of Chinese Academy of Sciences Beijing 100049China

Global plastic production continues to grow as the production of various plastic products greatly facilitates daily life. Plastics are highly persistent in the environment due to their recalcitrant properties, and they can adsorb other pollutants, leading to many environmental hazards and potential environmental risks that have attracted widespread scientific attention. Plastic wastes eventually reach water environments as primary (direct discharges)and secondary microplastics (broken down into many tiny particles by light, heat, mechanical impacts, and other factors), i.e., plastic particles with a particle size of 1μm to 5 mm [1].

关键词： eventually potential continue

HCRVD: A Vulnerability Detection System Based on CST-PDG Hierarchical Code Representation Learning

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Computers, Materials & Continua 2024年第6期79卷 4573-4601页

作者： Zhihui Song Jinchen Xu Kewei Li Zheng shan School of Cyberspace Security Information Engineering UniversityZhengzhou450001China

Prior studies have demonstrated that deep learning-based approaches can enhance the performance of source code vulnerability detection by training neural networks to learn vulnerability patterns in code ***,due to limitations in code representation and neural network design,the validity and practicality of the model still need to be ***,due to differences in programming languages,most methods lack cross-language detection *** address these issues,in this paper,we analyze the shortcomings of previous code representations and neural *** propose a novel hierarchical code representation that combines Concrete Syntax Trees(CST)with Program Dependence Graphs(PDG).Furthermore,we introduce a Tree-Graph-Gated-Attention(TGGA)network based on gated recurrent units and attention mechanisms to build a Hierarchical Code Representation learning-based Vulnerability Detection(HCRVD)*** system enables cross-language vulnerability detection at the *** experiments show that HCRVD surpasses many competitors in vulnerability detection *** benefits from the hierarchical code representation learning method,and outperforms baseline in cross-language vulnerability detection by 9.772%and 11.819%in the C/C++and Java datasets,***,HCRVD has certain ability to detect vulnerabilities in unknown programming languages and is useful in real open-source *** shows good validity,generality and practicality.

关键词： Vulnerability detection deep learning CST-PDG code representation tree-graph-gated-attention network cross-language

Effects of data smoothing and recurrent neural network(RNN)algorithms for real-time forecasting of tunnel boring machine(TBM)performance

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第5期16卷 1538-1551页

作者： Feng shan Xuzhen He Danial Jahed Armaghani Daichao Sheng School of Civil and Environmental Engineering University of Technology SydneyNSW2007Australia

Tunnel boring machines(TBMs)have been widely utilised in tunnel construction due to their high efficiency and *** predicting TBM performance can improve project time management,cost control,and risk *** study aims to use deep learning to develop real-time models for predicting the penetration rate(PR).The models are built using data from the Changsha metro project,and their performances are evaluated using unseen data from the Zhengzhou Metro *** one-step forecast,the predicted penetration rate follows the trend of the measured penetration rate in both training and *** autoregressive integrated moving average(ARIMA)model is compared with the recurrent neural network(RNN)*** results show that univariate models,which only consider historical penetration rate itself,perform better than multivariate models that take into account multiple geological and operational parameters(GEO and OP).Next,an RNN variant combining time series of penetration rate with the last-step geological and operational parameters is developed,and it performs better than other models.A sensitivity analysis shows that the penetration rate is the most important parameter,while other parameters have a smaller impact on time series *** is also found that smoothed data are easier to predict with high ***,over-simplified data can lose real characteristics in time *** conclusion,the RNN variant can accurately predict the next-step penetration rate,and data smoothing is crucial in time series *** study provides practical guidance for TBM performance forecasting in practical engineering.

关键词： Tunnel boring machine(TBM) Penetration rate(PR) Time series forecasting Recurrent neural network(RNN)

ControlService: a containerized solution for control-algorithm-as-a-service in cloud control systems

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Science China(Information Sciences) 2024年第8期67卷 172-189页

作者： Chenggang shan Runze GAO Zhen YANG Wei ZHANG Yuanqing XIA School of Artificial Intelligence Zaozhuang University School of Automation Beijing Institute of Technology

As an extension of networked control systems, cloud control systems(CCSs) have emerged as a new control paradigm to improve the service quality of emerging control missions, such as data-driven modeling and automated vehicles. Existing studies have used the workflow-based restructured method to optimize the computation-intensive algorithms in the CCSs. However, the challenges here are how to define and submit these algorithms' workflows as cloud services and execute these algorithms' workflows in a containerized manner. Based on these challenges, we propose a containerized solution for the control-algorithm-as-a-service(C3aS) in the CCSs, namely Control Service. It offers the control algorithm as a cloud workflow service and uses a customized workflow engine to realize the containerized execution. First, we employ a cloud workflow representation method to define a control algorithm into an abstract cloud workflow form. Afterward, we provide a cloud service representation of the abstract cloud workflow. Next, we design a workflow engine and submit the cloud service to this workflow engine to implement containerized execution of this cloud service in the CCSs. In the experiment, we discuss the cloud service form and containerized implementation of the subspace identification method. Experimental results show that the proposed Control Service has significant performance advantages in computational time, reduction percentage, and speedup ratio compared with the baseline method.

关键词： cloud control systems control-algorithm-as-a-service containerization workflow engine cloud workflow service subspace identification

大空间结构区采区煤柱冲击地压机理与防控技术

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煤矿安全 2017年第10期48卷 47-50页

作者：何岗何江山长昊马志强徐州矿务集团有限公司生产技术部江苏徐州221006 中国矿业大学矿业工程学院江苏徐州221116 中国矿业大学煤炭资源与安全开采国家重点实验室江苏徐州221116

为降低采区煤柱区域冲击动力显现频率和程度,提出深井采区煤柱存在刚性核体、冲击核体和柔性层,研究了煤柱中冲击核体特征和变化规律,揭示了深井采区煤柱冲击地压发生机理。构建了深井采区煤柱冲击地压防范、监测预警、治理防护的技术体... 详细信息

为降低采区煤柱区域冲击动力显现频率和程度,提出深井采区煤柱存在刚性核体、冲击核体和柔性层,研究了煤柱中冲击核体特征和变化规律,揭示了深井采区煤柱冲击地压发生机理。构建了深井采区煤柱冲击地压防范、监测预警、治理防护的技术体系,进行了现场实践应用、效果检验,防控技术降低了煤柱区域动力显现频率和程度,有效地消除了深部采区煤柱区冲击地压的发生。

关键词：大空间结构区采区煤柱机理防控冲击地压冲击核体