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MUS Model:A Deep Learning-Based Architecture for IoT Intrusion Detection

Computers, Materials & Continua 2024年第7期80卷 875-896页

作者： Yu yan Yu yang Shen Fang Minna gao Yiding Chen College of Information Engineering University of Engineering of the Chinese People’s Armed Police Force(PAP)Xi’an710000China College of Missile Engineering Rocket Force Engineering UniversityXi’an710000China

In the face of the effective popularity of the Internet of Things(IoT),but the frequent occurrence of cybersecurity incidents,various cybersecurity protection means have been proposed and *** them,Intrusion Detection System(IDS)has been proven to be stable and ***,traditional intrusion detection methods have shortcomings such as lowdetection accuracy and inability to effectively identifymalicious *** address the above problems,this paper fully considers the superiority of deep learning models in processing highdimensional data,and reasonable data type conversion methods can extract deep features and detect classification using advanced computer vision techniques to improve classification *** TransformField(MTF)method is used to convert 1Dnetwork traffic data into 2D images,and then the converted 2D images are filtered by UnsharpMasking to enhance the image details by sharpening;to further improve the accuracy of data classification and detection,unlike using the existing high-performance baseline image classification models,a soft-voting integrated model,which integrates three deep learning models,MobileNet,VGGNet and ResNet,to finally obtain an effective IoT intrusion detection architecture:the MUS *** types of experiments are conducted on the publicly available intrusion detection dataset CICIDS2018 and the IoT network traffic dataset N_BaIoT,and the results demonstrate that the accuracy of attack traffic detection is greatly improved,which is not only applicable to the IoT intrusion detection environment,but also to different types of attacks and different network environments,which confirms the effectiveness of the work done.

关键词： Cyberspace security intrusion detection deep learning Markov Transition Fields(MTF) soft voting integration

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Scattered Co-anchored MoS_(2)synergistically boosting photothermal capture and storage of phase change materials

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Journal of Energy Chemistry 2024年第8期95卷 208-215,I0005页

作者： yang Li Panpan Liu yan gao Yuhao Feng Peicheng Li Xiao Chen Institute of Advanced Materials Beijing Normal UniversityBeijing 100875China School of Materials Science and Engineering University of Science and Technology BeijingBeijing 100083China School of Environment Beijing Normal UniversityBeijing 100875China

Pristine phase change materials(PCMs)suffer from inherent deficiencies of poor solar absorption and photothermal ***,we proposed a strategy of co-incorporation of zero-dimensional(OD)metal nanoparticles and two-dimensional(2D)photothermal materials in PCMs for efficient capture and conversion of solar energy into thermal *** scattered Co-anchored MoS_(2)nanoflower cluster serving as photon and phonon triggers was prepared by in-situ hydrothermal growth of ZIF67 polyhedron on 2D MoS_(2)and subsequent high-temperature *** encapsulating thermal storage unit(paraffin wax),the obtained composite PCMs integrated high-performance photothermal conversion and thermal energy storage *** from the synergistic enhancement of OD Co nanoparticles with localized surface plasmon resonance effect,carbon layer with the conjugation effect and 2D MoS_(2)with strong solar absorption,composite PCMs exhibited a high photothermal conversion efficiency of 95.19%,Additionally,the resulting composite PCMs also demonstrated long-term thermal sto rage stability and durable structu ral stability after 300 thermal *** proposed collabo rative co-incorporation strategy provides some innovative references for developing next-generation photothermal PCMs in solar energy utilization.

关键词： Phase change materials Photothermal conversion Thermal energy storage

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Network Configuration Entity Extraction Method Based on Transformer with Multi-Head Attention Mechanism

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Computers, Materials & Continua 2024年第1期78卷 735-757页

作者： yang yang Zhenying Qu Zefan yan Zhipeng gao Ti Wang State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing100876China Product Development Department China Unicom Smart City Research InstituteBeijing100044China

Nowadays,ensuring thequality of networkserviceshas become increasingly *** are turning toknowledge graph technology,with a significant emphasis on entity extraction in the identification of device *** research paper presents a novel entity extraction method that leverages a combination of active learning and attention ***,an improved active learning approach is employed to select the most valuable unlabeled samples,which are subsequently submitted for expert *** approach successfully addresses the problems of isolated points and sample redundancy within the network configuration sample *** the labeled samples are utilized to train the model for network configuration entity ***,the multi-head self-attention of the transformer model is enhanced by introducing the Adaptive Weighting method based on the Laplace mixture *** enhancement enables the transformer model to dynamically adapt its focus to words in various positions,displaying exceptional adaptability to abnormal data and further elevating the accuracy of the proposed *** comparisons with Random Sampling(RANDOM),Maximum Normalized Log-Probability(MNLP),Least Confidence(LC),Token Entrop(TE),and Entropy Query by Bagging(EQB),the proposed method,Entropy Query by Bagging and Maximum Influence Active Learning(EQBMIAL),achieves comparable performance with only 40% of the samples on both datasets,while other algorithms require 50% of the ***,the entity extraction algorithm with the Adaptive Weighted Multi-head Attention mechanism(AW-MHA)is compared with BILSTM-CRF,Mutil_Attention-Bilstm-Crf,Deep_Neural_Model_NER and BERT_Transformer,achieving precision rates of 75.98% and 98.32% on the two datasets,*** tests demonstrate the statistical significance and effectiveness of the proposed algorithms in this paper.

关键词： Entity extraction network configuration knowledge graph active learning transformer

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Car-following strategy of intelligent connected vehicle using extended disturbance observer adjusted by reinforcement learning

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CAAI Transactions on Intelligence Technology 2024年第2期9卷 365-373页

作者： Ruidong yan Penghui Li Hongbo gao Jin Huang Chengbo Wang School of Traffic and Transportation The Beijing Jiaotong UniversityBeijingChina Department of Automation School of Information Science and TechnologyUniversity of Science and Technology of ChinaHefeiChina School of Vehicle and Mobility The Tsinghua UniversityBeijingChina Liverpool Logistics Offshore and Marine Research Institute(LOOM)Liverpool John Moores UniversityLiverpoolUK

Disturbance observer-based control method has achieved good results in the carfollowing scenario of intelligent and connected vehicle(ICV).However,the gain of conventional extended disturbance observer(EDO)-based control method is usually set manually rather than adjusted adaptively according to real time traffic conditions,thus declining the car-following *** solve this problem,a car-following strategy of ICV using EDO adjusted by reinforcement learning is *** from the conventional method,the gain of proposed strategy can be adjusted by reinforcement learning to improve its estimation *** the“equivalent disturbance”can be compensated by EDO to a great extent,the disturbance rejection ability of the carfollowing method will be improved *** Lyapunov approach and numerical simulations are carried out to verify the effectiveness of the proposed method.

关键词： adaptive system autonomous vehicle intelligent control

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Sonodynamic therapy for the treatment of atherosclerosis

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Journal of Pharmaceutical Analysis 2024年第5期14卷 666-677页

作者： yan Zhang Ying yang Yudi Feng Xueyan gao Liping Pei Xiaopan Li Bingxin gao Lin Liu Chengzeng Wang Shuochen gao The Department of Ultrasound The First Affiliated Hospital of Zhengzhou UniversityZhengzhou450052China The Department of Neurology The First Affiliated Hospital of Zhengzhou UniversityZhengzhou450052China

Atherosclerosis(AS)is a chronic inflammatory disease of large and medium-sized arteries that leads to ischemic heart disease,stroke,and peripheral vascular *** the current treatments,mortality and disability still remain *** therapy(SDT),a non-invasive and localized methodology,has been developed as a promising new treatment for inhibiting atherosclerotic progression and stabilizing *** progress has been made through cell and animal assays,as well as clinical *** example,the effect of SDT on apoptosis and autophagy of cells in AS,especially macrophages,and the concept of non-lethal SDT has also been *** this review,we summarize the ultrasonic parameters and known sonosensitizers utilized in SDT for AS;we elaborate on SDT's therapeutic effects and mechanisms in terms of macrophages,T lymphocytes,neovascularization,smooth muscle cells,lipid,extracellular matrix and efferocytosis within plaques;additionally,we discuss the safety of SDT.A comprehensive summary of the confirmed effects of SDT on AS is conducted to establish a framework for future researchers.

关键词： Atherosclerosis Sonodynamic therapy Sonosensitizer Ultrasound Reactive oxygen species

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Bio-inspired surface manipulation of halloysite nanotubes for highperformance flame retardant polylactic acid nanocomposites

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Nano Research 2024年第3期17卷 1595-1606页

作者： Yaru Sun Bin Yu yan Liu junbo yan Zixi Xu Bo Cheng Fenglei Huang jun Wang State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Fire Science University of Science and Technology of ChinaHefei 230026China Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China National Engineering Research Center of Flame Retardant Materials Beijing Institute of TechnologyBeijing 100081China

High-performance flame-retardant polylactic acid(PLA)bio-composites based on biobased fillers to meet usage requirements represents a promising direction for creating a sustainable *** flame retardant PLA composites have been reported extensively,it still remains a huge challenge to develop mechanically *** flame retardant PLA composites due to plastication effect of organic flame retardants and poor compatibility of organic fillers with the matrix lead to the severe deterioration in mechanical *** this work,a bio-inspired surface manipulation strategy for halloysite nanotubes(HNTs)was proposed via a facile and green self-assembly *** structure and morphology of bio-inspired HNTs(b-HNTs)proved that biomass nanofillers(PA-NA-Fe)grew well both within the lumen and on the surface of *** growth of biomass on the inner and outer surfaces of HNTs was inspired from wooden towards enhancing the interface compatibility and imparting multi-properties to PLA *** mechanical properties(tensile,thermomechanical and anti-impact mechanical),great fire safety(heat release and smoke emission),thermostability and improved electromagnetic interference shielding effectiveness of this well-designed PLA nanocomposite were *** mechanisms of the enhanced performances of the PLA bio-composites by loading b-HNTs were *** work presents a facile and environmentally-friendly bio-inspired modification strategy for HNTs to fabricate high-performance,multi-functional polymer composites,which is also suitable for surface modification of many other nanomaterials,including nanofibers,nanotubes,nanowires,and nanosheets.

关键词： mechanical properties thermostability fire safety electromagnetic interference shielding biomass

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Thermally-induced cracking behaviors of coal reservoirs subjected to cryogenic liquid nitrogen shock

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第8期16卷 2894-2908页

作者： Songcai Han Qi gao Xinchuang yan Lile Li Lei Wang Xian Shi Chuanliang yan Daobing Wang College of Energy Chengdu University of TechnologyChengdu610059China School of Engineering The University of Western Australia35 Stirling HighwayPerthWA6009Australia School of Petroleum Engineering China University of Petroleum(East China)Qingdao266580China School of Mechanical Engineering Beijing Institute of Petrochemical TechnologyBeijing102617China

The benefits of using cryogenic liquid nitrogen shock to enhance coal permeability have been confirmed from experimental *** this paper,we develop a fully coupled thermo-elastic model in combination with the strain-based isotropic damage theory to uncover the cooling-dominated cracking behaviors through three typical cases,*** reservoirs containing a wellbore,a primary fracture,and a natural fracture network,*** progressive cracking processes,from thermal fracture initiation,propagation or cessation,deflection,bifurcation to multi-fracture interactions,can be well captured by the numerical *** is observed that two hierarchical levels of thermal fractures are formed,in which the number of shorter thermal fractures consistently exceeds that of the longer *** effects of coal properties related to thermal stress levels and thermal diffusivity on the fracture morphology are quantified by the fracture fractal dimension and the statistical fracture *** induced fracture morphology is most sensitive to changes in the elastic modulus and thermal expansion coefficient,both of which dominate the complexity of the fracture *** reservoir candidates with preferred thermal-mechanical properties are also recommended for improving the stimulation *** findings are that there exists a critical injection temperature and a critical in-situ stress difference,above which no thermal fractures would be *** natural fractures with higher density and preferred orientations are also essential for the formation of complex fracture *** obtained results can provide some theoretical support for cryogenic fracturing design in coal reservoirs.

关键词： Coal reservoirs Cryogenic shock Thermal cracking behaviors Fracture morphology

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Retinoic acid receptor responder 2 and lipid metabolic reprogramming:A new insight into brain metastasis

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Cancer Innovation 2024年第6期3卷 42-44页

作者： Lulu Wang yan gao Department of Human Anatomy School of Basic Medical SciencesCapital Medical UniversityBeijingChina Beijing Key Laboratory of Cancer Invasion and Metastasis Research BeijingChina

The brain is one of the most common metastatic sites for carcinoma,especially for breast cancer,the second leading cause of brain metastases(BrM)after lung cancer[1].During organ‐tropic metastases,cancer cells have to survive and expand in target organs through a process involving a complex interplay between invading cells and the microenvironment.

关键词： brain metastases breast cancer lipid metabolism retinoic acid receptor responder 2

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Evaluating the tumor stratification with a lysosomal pH sensitive-probe by fluorescence lifetime imaging

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Chinese Chemical Letters 2024年第3期35卷 262-267页

作者： jun yan Xing Liang Qian Zhang Luolin Wang Weiying Lin Guangxi Key Laboratory of Electrochemical Energy Materials Institute of Optical Materials and Chemical BiologySchool of Chemistry and Chemical EngineeringGuangxi UniversityNanning 530004China

Owing to the anaerobic metabolism in the tumor,abundant acidic metabolites are produced and accumulated in the ***,the cells in different tumor layers are directly linked to the pH ***,due to the lack of robust tools,the high-efficient evaluation of the acidic micro-environment of tumor stratification faces the challenge of accurate *** designed a new pH sensitive fluorescent lifetime probe target to *** we expected,the fluorescence lifetime of PLN possesses a good linear fit to the pH value,which could detect the pH change at a single lysosome level in real time,and then evaluate the different acidity of tumor *** probe PLN is successfully used to evaluate the tumor stratification by fluorescence lifetime imaging microscopy(FLIM)for the first time,which is of great significance in the preoperative diagnosis of clinical tumor treatment or evaluation of drug delivery effect.

关键词： FLIM pH Fluorescence imaging Lysosome Tumor imaging

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Metallogenesis of the Baidi Au-Sb deposit, southwest Guizhou Province, China: mineralogical and geochemical evidence from sulfur-bearing minerals

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Acta Geochimica 2024年第2期43卷 199-213页

作者： jun yan Yong Xia Qinping Tan Zhuojun Xie Guosong Ji State KeyLaboratory of Ore Deposit Geochemistry Institute of GeochemistryChineseAcademy of SciencesGuiyang 550081China Guizhou InstituteofTechnology Guiyang550003China No.102 GeologicalTeam Guizhou Bureau of Geologyand Mineral Exploration&DevelopmentZunyi563003China

The Baidi Au-Sb deposit, which contains 8 t of Au and 10,979 Mt of Sb, is a typical and rare paragenetic deposit located in southwestern Guizhou Province, *** studies have focused on individual ores, but have not combined them to identify their paragenetic mechanism or metallogenic regularity. Therefore, we used field investigations, microscopic observations, and in situ analyses to identify the spatial distribution, mineral paragenesis, compositional evolution, and metallogenic material sources of the ore bodies. We also determined the Au and Sb paragenetic characteristics and the metallogenesis of the deposit. The main Au-bearing minerals in the deposit were early(Apy1–2) and late(Apy3) stage arsenopyrites, as well as pre-mineralization(Py1), mineralization(Py2–5), and late mineralization(Py6–7) stage pyrites. The main Sb-bearing minerals were stibnite(Snt), skinnerite, bournonite,and valentinite. The minerals formed in the order of Py1,Py2–3 + Apy1, Py4–5 + Apy2, Snt, and Py6–7 + *** δ34S values of the arsenopyrites and pyrites ranged from-5 to 5‰, while those of stibnite were mostly less than-5‰ in the later mineralization stages. Sulfur was provided by deep magmatic hydrothermal fluids, but sedimentary sulfur was added in the later stages. Moreover,the trace elemental contents fluctuated and eventually became similar to those of the sedimentary strata. By comprehensively considering the ores along with the geological characteristics of the deposit, we determined that deep magma provided the Au during ore formation. Later tectonic changes provided Sb from the sedimentary strata,which precipitated along fault expansion areas and produced Au and Sb paragenesis.

关键词： Au-Sb mineralization Arsenopyrite Pyrite Stibnite Metallogenetic process

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