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In-Vehicle Network Injection Attacks Detection Based on Feature Selection and Classification

Automotive Innovation 2024年第1期7卷 138-149页

作者： Haojie Ji liyong wang Hongmao Qin Yinghui wang Junjie Zhang Biao Chen Key Laboratory of Modern Measurement and Control Technology Ministry of EducationBeijing Information Science and Technology UniversityBeijing 100192China State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle EngineeringHunan UniversityChangsha 410082China School of Transportation Science and Engineering Beihang UniversityBeijing 100191China Hefei Innovation Research Institute Beihang UniversityHefei 230012China

Detecting abnormal data generated from cyberattacks has emerged as a crucial approach for identifying security threats within in-vehicle networks.The transmission of information through in-vehicle networks needs to follow specific data for-mats and communication protocols regulations.Typically,statistical algorithms are employed to learn these variation rules and facilitate the identification of abnormal data.However,the effectiveness of anomaly detection outcomes often falls short when confronted with highly deceptive in-vehicle network attacks.In this study,seven representative classification algorithms are selected to detect common in-vehicle network attacks,and a comparative analysis is employed to identify the most suitable and favorable detection method.In consideration of the communication protocol characteristics of in-vehicle networks,an optimal convolutional neural network(CNN)detection algorithm is proposed that uses data field characteristics and classifier selection,and its comprehensive performance is tested.In addition,the concept of Hamming distance between two adjacent packets within the in-vehicle network is introduced,enabling the proposal of an enhanced CNN algorithm that achieves robust detection of challenging-to-identify abnormal data.This paper also presents the proposed CNN classifica-tion algorithm that effectively addresses the issue of high false negative rate(FNR)in abnormal data detection based on the timestamp feature of data packets.The experimental results validate the efficacy of the proposed abnormal data detection algorithm,highlighting its strong detection performance and its potential to provide an effective solution for safeguarding the security of in-vehicle network information.

关键词： Classification algorithm Anomaly detection In-vehicle network Feature extraction Injecting attack

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Short-Term Household Load Forecasting Based on Attention Mechanism and CNN-ICPSO-LSTM

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Energy Engineering 2024年第6期121卷 1473-1493页

作者： Lin Ma liyong wang Shuang Zeng Yutong Zhao Chang Liu Heng Zhang Qiong Wu Hongbo Ren New Energy Technology Center State Grid Beijing Electric Power Research InstituteBeijing100075China College of Energy and Mechanical Engineering Shanghai University of Electric PowerShanghai200090China

Accurate load forecasting forms a crucial foundation for implementing household demand response plans andoptimizing load scheduling. When dealing with short-term load data characterized by substantial fluctuations,a single prediction model is hard to capture temporal features effectively, resulting in diminished predictionaccuracy. In this study, a hybrid deep learning framework that integrates attention mechanism, convolution neuralnetwork (CNN), improved chaotic particle swarm optimization (ICPSO), and long short-term memory (LSTM), isproposed for short-term household load forecasting. Firstly, the CNN model is employed to extract features fromthe original data, enhancing the quality of data features. Subsequently, the moving average method is used for datapreprocessing, followed by the application of the LSTM network to predict the processed data. Moreover, the ICPSOalgorithm is introduced to optimize the parameters of LSTM, aimed at boosting the model’s running speed andaccuracy. Finally, the attention mechanism is employed to optimize the output value of LSTM, effectively addressinginformation loss in LSTM induced by lengthy sequences and further elevating prediction accuracy. According tothe numerical analysis, the accuracy and effectiveness of the proposed hybrid model have been verified. It canexplore data features adeptly, achieving superior prediction accuracy compared to other forecasting methods forthe household load exhibiting significant fluctuations across different seasons.

关键词： Short-term household load forecasting long short-term memory network attention mechanism hybrid deep learning framework

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Rational Solutions of First Order Algebraic Ordinary Differential Equations

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Journal of Systems Science & Complexity 2024年第2期37卷 567-580页

作者： FENG Shuang SHEN liyong School of Physical and Mathematical Sciences Nanjing Tech UniversityNanjing 211816China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China

Let f(t,y,y')=∑ _(i=0)^(n )a_(i)(t,y)y'^(i)=0 be an irreducible first order ordinary differential equation with polynomial coefficients.Eremenko in 1998 proved that there exists a constant C such that every rational solution of f(t,y,y')=0 is of degree not greater than C.Examples show that this degree bound C depends not only on the degrees of f in t,y,y' but also on the coefficients of f viewed as the polynomial in t,y,y'.In this paper,the authors show that if f satisfies deg(f,y)0,then the degree bound C only depends on the degrees of f in t,y,y',and furthermore we present an explicit expression for C in terms of the degrees of f in t,y,y'.

关键词： Degree bound first order AODE height rational solution

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Clinical features, treatment strategies and outcomes of craniocervical junction arteriovenous fistulas: a cohort study of 193 patients

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Stroke & Vascular Neurology 2024年第1期9卷 18-29页

作者： Yongjie Ma Zihao Song Yinqing wang Jiachen wang Chuan He Guilin Li Peng Zhang Tao Hong liyong Sun Peng Hu Ming Ye Hongqi Zhang Department of Neurosurgery Xuanwu Hospital Capital Medical University

Background Craniocervical junction(CCJ)arteriovenous fistulas(AVFs)are rare.The current treatment strategies for AVFs with different angioarchitecture need to be clarified.The present study aimed to analyse the correlation between angioarchitecture and clinical characteristics,share our experience in treating this disease and identify risk factors associated with subarachnoid haemorrhage(SAH)and poor outcomes.Methods A total of 198 consecutive patients with CCJ AVFs from our neurosurgical centre were retrospectively reviewed.The patients were grouped according to their clinical manifestations,and their baseline clinical characteristics,angioarchitecture,treatment strategies and outcomes were summarised.Results The patients’median age was 56 years(IQR 47–62 years).The majority of patients were men with 166(83.8%)patients.The most common clinical manifestation was SAH(52.0%),followed by venous hypertensive myelopathy(VHM)(45.5%).The most common CCJ AVFs type was dural AVF,with 132(63.5%)fistulas.The most frequent fistula location was C-1(68.7%)and dural branch of vertebral artery(70.2%)was the most involved arterial feeders for fistulas.The most common direction of venous drainage was descending intradural drainage(40.9%),followed by ascending intradural drainage(36.5%).Microsurgery was the most common treatment strategy applied for 151(76.3%)patients,15(7.6%)patients were treated with interventional embolisation only,and 27(13.6%)received both interventional embolisation and microsurgical treatment.The learning curve for microsurgery only was analysed by cumulative summation method,and the turning point was the 70th case,and blood loss in post-group was lower than that in pre-group(p=0.034).At the last follow-up,there were 155(78.3%)patients with favourable outcomes(modified Rankin Scale(mRS)<3).Age≥56(OR 2.038,95%CI 1.039 to 3.998,p=0.038),VHM as the clinical manifestation(OR 4.102,95%CI 2.108 to 7.982,p<0.001)and pretreatment mRS≥3(OR 3.127,95%CI 1.617 to 6.047,p<0.001)were significantly associated with poor out

关键词： patients treatment hypertensive

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A Certified Cubic B-Spline Interpolation Method with Tangential Direction Constraints

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Journal of Systems Science & Complexity 2024年第3期37卷 1271-1294页

作者： HE Shitao SHEN liyong WU Qin YUAN Chunming School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China KLMM Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China

Curve interpolation with B-spline is widely used in various areas. This problem is classic and recently raised in application scenario with new requirements such as path planning following the tangential vector field under certified error in CNC machining. This paper proposes an algorithm framework to solve Hausdorff distance certified cubic B-spline interpolation problem with or without tangential direction constraints. The algorithm has two stages: The first stage is to find the initial cubic B-spine fitting curve which satisfies the Hausdorff distance constraint;the second stage is to set up and solve the optimization models with certain constraints. Especially, the sufficient conditions of the global Hausdorff distance control for any error bound are discussed, which can be expressed as a series of linear and quadratic constraints. A simple numerical algorithm to compute the Hausdorff distance between a polyline and its B-spline interpolation curve is proposed to reduce our computation.Experimental results are presented to show the advantages of the proposed algorithms.

关键词： Cubic B-spline Hausdorff distance interpolation tangential direction

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Bismuth clusters pinned on TiO_(2) porous nanowires boosting charge transfer for CO_(2) photoreduction to CH_(4)

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Nano Research 2024年第3期17卷 1190-1198页

作者： Jiazhi Meng Kaiwen wang Yang wang Jiangping Ma Chaogang Ban Yajie Feng Bin Zhang Kai Zhou liyong Gan Guang Han Danmei Yu Xiaoyuan Zhou College of Physics and Institute of Advanced Interdisciplinary Studies Chongqing UniversityChongqing 401331China School of Chemistry and Chemical Engineering Chongqing UniversityChongqing 401331China College of Materials Science and Engineering Chongqing UniversityChongqing 400044China Beijing Key Lab of Microstructure and Properties of Advanced Materials Beijing University of TechnologyBeijing 100124China Analytical and Testing Center Chongqing UniversityChongqing 401331China

Artificial photosynthesis in carbon dioxide(CO_(2))conversion into value-added chemicals attracts considerable attention but suffers from the low activity induced by sluggish separation of photogenerated carriers and the kinetic bottleneck-induced unsatisfied selectivity.Herein,we prepare a new-style Bi/TiO_(2) catalyst formed by pinning bismuth clusters on TiO_(2) nanowires through being confined by pores,which exhibits high activity and selectivity towards photocatalytic production of CH_(4) from CO_(2).Boosted charge transfer from TiO_(2) through Bi to the reactants is revealed via in situ X-ray photon spectroscopy and time-resolved photoluminescence(PL).Further,in situ Fourier transform infrared results confirm that Bi/TiO_(2) not only overcomes the multi-electron kinetics challenge of CO_(2) to CH_(4) via boosting charge transfer,but also facilitates proton production and transfer as well as the intermediates*CHO and*CH_(3)O generation,ultimately achieving the tandem catalysis towards methanation.Theoretical calculation also underlies that the more favorable reaction step from*CO to*CHO on Bi/TiO_(2) results in CH_(4) production with higher selectivity.Our work brings new insights into rational design of photocatalysts with high performance and the formation mechanism of CO_(2) to CH_(4) for solar energy storage in future.

关键词： carbon dioxide(CO_(2))photoreduction charge transfer tandem catalysis methanation

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A graphitized expanded graphite cathode for aluminum-ion battery with excellent rate capability

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Journal of Energy Chemistry 2022年第3期31卷 38-44,I0002页

作者： Xiaozhong Dong Hao Chen Haiwen Lai liyong wang Jiaqing wang Wenzhang Fang Chao Gao MOE Key Laboratory of Macromolecular Synthesis and Functionalization Department of Polymer Science and EngineeringKey Laboratory of Adsorption and Separation Materials&Technologies of Zhejiang ProvinceZhejiang UniversityHangzhou 310027ZhejiangChina Department of Materials Engineering Taiyuan Institute of TechnologyTaiyuan 030008ShanxiChina Hangzhou Gaoxi Technology Co.Ltd. Hangzhou 310000ZhejiangChina Hebei Normal University for Nationalities Chengde 067000HebeiChina

Aluminum-ion battery(AIB)is very promising for its safety and large current charge–discharge.However,it is challenging to build a high-performance AIB system based on low-cost materials especially cathode&electrolyte.Despite the low-cost expanded graphite-triethylaminehydrochloride(EG-ET)system has been improved in cycle performance,its rate capability still remains a gap with the expensive graphene-alkylimidazoliumchloride AIB system.In this work,we treated the cheap EG appropriately through an industrial high-temperature process,employed the obtained EG3K(treated at 3000℃)cathode with AlCl_(3)-ET electrolyte,and built a novel,high-rate capability and double-cheap AIB system.The new EG3K-ET system achieved the cathode capacity of average 110 m Ah g^(-1)at 1 A g^(-1)with 18,000cycles,and retained the cathode capacity of 100 m Ah g^(-1)at 5 A g^(-1)with 27,500 cycles(fast charging of 72 s).Impressively,we demonstrated that a battery pack(EG3K-ET system,12 m Ah)had successfully driven the Model car running 100 m long.In addition,it was confirmed that the improvement of rate capability in the EG3K-ET system was mainly derived by deposition,and its capacity contribution ratio was about 53.7%.This work further promoted the application potential of the low-cost EG-ET AIB system.

关键词： Aluminum-ion battery Expanded graphite Triethylamine hydrochloride

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Downregulation of nc886 contributes to prostate cancer cell invasion and TGFβ1-induced EMT

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Genes & Diseases 2022年第4期9卷 1086-1098页

作者： Ronghui Yang Lingkun Zuo Hui Ma Ying Zhou Ping Zhou liyong wang Miao wang Mahrukh Latif Lu Kong Department of Biochemistry and Molecular Biology Capital Medical UniversityBeijing 100069PR China Biomedical Engineering Institute of Capital Medical University Capital Medical UniversityBeijing 100069PR China Department of Pathology Beijing Friendship HospitalThe Second Clinical Medical College of Capital Medical UniversityBeijing 100050PR China Department of Nuclear Medicine Fourth Hospital of Hebei Medical UniversityShijiazhuangHebei 050010PR China

Epithelial-to-mesenchymal transition (EMT) activation is important in cancer progression and metastasis. Evidence indicates that nc886 is a representative Pol III gene that processes microRNA products via Dicer and further downregulates its target gene transforming growth factor- β1 (TGF-β1), which is the most prominent inducer of EMT in prostate cancer (PC). Consistent with the previous literature, we found that nc886 downregulation was strongly associated with metastatic behavior and showed worse outcomes in PC patients. However, little is known about the association between nc886 and the EMT signaling pathway. We developed a PC cell model with stable overexpression of nc886 and found that nc886 changed cellular morphology and drove MET. The underlying mechanism may be related to its promotion of SNAIL protein degradation via ubiquitination, but not to its neighboring genes, TGFβ-induced protein (TGFBI) and SMAD5, which are Pol II-transcribed. TGF-β1 also override nc886 promotion of MET via transient suppression the transcription of nc886, promotion of TGFBI or increase in SMAD5 phosphorylation. Both nc886 inhibition and TGFBI activation occur regardless of their methylation status. The literature suggests that MYC inhibition by TGF-β1 is attributed to nc886 downregulation. We incidentally identified MYC-associated zinc finger protein (MAZ) as a suppressive transcription factor of TGFBI, which is controlled by TGF-β1. We elucidate a new mechanism of TGF-β1 differential control of Pol II and the transcription of its neighboring Pol III gene and identify a new EMT unit consisting of nc886 and its neighboring genes.

关键词： EMT MET Non-coding RNA Prostate cancer TGF-β1

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Combined application of organic fertilizer and chemical fertilizer alleviates the kernel position effect in summer maize by promoting post-silking nitrogen uptake and dry matter accumulation

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Journal of Integrative Agriculture 2024年第4期23卷 1179-1194页

作者： Lichao Zhai Lihua Zhang Yongzeng Cui Lifang Zhai Mengjing Zheng Yanrong Yao Jingting Zhang Wanbin Hou liyong Wu Xiuling Jia Institute of Cereal and Oil Crops Hebei Academy of Agriculture and Forestry Sciences/Key Laboratory of Crop Cultivation Physiology and Green Production of Hebei ProvinceShijiazhuang 050035China Hebei Science and Technology Innovation Service Center Shijiazhuang 050051China Yongnian Agricultural Technology Extension Center Handan 057150China Ningjin Agricultural Technology Extension Center Xingtai 055550China

Adjusting agronomic measures to alleviate the kernel position effect in maize is important for ensuring high yields.In order to clarify whether the combined application of organic fertilizer and chemical fertilizer(CAOFCF)can alleviate the kernel position effect of summer maize,field experiments were conducted during the 2019 and 2020 growing seasons,and five treatments were assessed:CF,100%chemical fertilizer;OFCF1,15%organic fertilizer+85%chemical fertilizer;OFCF2,30%organic fertilizer+70%chemical fertilizer;OFCF3,45%organic fertilizer+55%chemical fertilizer;and OFCF4,60%organic fertilizer+40%chemical fertilizer.Compared with the CF treatment,the OFCF1 and OFCF2 treatments significantly alleviated the kernel position effect by increasing the weight ratio of inferior kernels to superior kernels and reducing the weight gap between the superior and inferior kernels.These effects were largely due to the improved filling and starch accumulation of inferior kernels.However,there were no obvious differences in the kernel position effect among plants treated with CF,OFCF3,or OFCF4 in most cases.Leaf area indexes,post-silking photosynthetic rates,and net assimilation rates were higher in plants treated with OFCF1 or OFCF2 than in those treated with CF,reflecting an enhanced photosynthetic capacity and improved postsilking dry matter accumulation(DMA)in the plants treated with OFCF1 or OFCF2.Compared with the CF treatment,the OFCF1 and OFCF2 treatments increased post-silking N uptake by 66.3 and 75.5%,respectively,which was the major factor driving post-silking photosynthetic capacity and DMA.Moreover,the increases in root DMA and zeatin riboside content observed following the OFCF1 and OFCF2 treatments resulted in reduced root senescence,which is associated with an increased post-silking N uptake.Analyses showed that post-silking N uptake,DMA,and grain yield in summer maize were negatively correlated with the kernel position effect.In conclusion,the combined application of 15-30%organic fertilizer and 70-85%chemical fer

关键词： chemical fertilizer dry mater accumulation kernel position effect N uptake organic fertilizer

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Pu-erh tea partly improved liver cholesterol metabolism disorders in colitis mice via the gut-liver axis

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Food Science and Human Wellness 2024年

作者： Shanshan Hu Zhiyuan Lin Sibo Zhao Bowen Zhang liyong Luo Liang Zeng Chongqing Key Laboratory of Speciality Food Co-Built by Sichuan and Chongqing Southwest University College of Food Science Southwest University

Pu-erh tea has been shown to reduce gut inflammation in DSS-induced mice. Also， we found abnormal liver cholesterol metabolism in dextran sulfate sodium (DSS)-induced mice. However， it’s not clear how Pu-erh tea improves DSS-induced impaired liver cholesterol metabolism. Here， we established the DSS-induced model and clarified that DSS exacerbated gut inflammation accompanied by disorders of liver cholesterol metabolism. Pu-erh tea reshaped gut microbes， limited gut oxidative stress and inflammation (NOX2/ROS/MyD88/NF-κB， 24.97%-52.89%)， reduced gut bile acid reabsorption (up-regulation of FXR/FGF15， 24.53%-55.91%)， and promoted liver bile acid synthesis (up-regulation of PPARα/CYP7A1， 34.65%-79.14%)， thereby partly restoring liver cholesterol metabolism (regulated FXR/SHP/SREBPs， 53.19%-95.40%). Altered bile acid metabolic profiles (increased chenodeoxycholic acid， ursodeoxycholic acid， lithocholic acid， etc.) may also improve liver cholesterol metabolism by altering gut and liver inflammation. Thus， gut microbial reshaping and altered bile acid metabolism may be key targets of Pu-erh tea for improving DSS-induced liver cholesterol metabolism disorders via the gut-gut microbe-bile acid-liver axis.

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