检索结果-南通市图书馆

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

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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 behavior.To 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)model.At 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 features.The fusion of features from both granularities serves as the ultimate multidimensional representation of malicious traffic.Our 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 categories.The 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

Application of different fiber structures and arrangements by electrospinning in triboelectric nanogenerators

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Chemical Engineering 2024年第5期69卷 177-191页

作者： Hebin Li Zifei Meng Dehua Wang ye lu Longlong Jiang Le Zhang Hanbin Wang Xiaoxiong Wang College of Physics Qingdao UniversityQingdao 266071China School of Physics and Electronic Engineering Jiangsu Normal UniversityXuzhouJiangsu 221000China Microsystem&Terahertz Research Center China Academy of Engineering Physics(CAEP)Chengdu 610200China Institute of Electronic Engineering China Academy of Engineering Physics(CAEP)Mianyang 621900China University-Industry Joint Center for Ocean Observation and Broadband Communication College of PhysicsQingdao UniversityQingdao 266071China Weihai Innovation Research Institute of Qingdao University Weihai 264200China Collaborative Innovation Center for Eco-Textiles of Shandong Province and State Key Laboratory of Bio-Fibers and Eco-TextilesQingdao UniversityQingdao 266071China

In recent years,nanogenerators(NGs)have attracted wide attention in the energy field,among which triboelectric nanogenerators(TENGs)have shown superior performance.Multiple reports of electrospinning(ES)-based TENGs have been reported,but there is a lack of deep analysis of the designing method from microstructure,limiting the creative of new ES-based TENGs.Most TENGs use polymer materials to achieve corresponding design,which requires structural design of polymer materials.The existing polymer molding design methods include macroscopic molding methods,such as injection,compression,extrusion,calendering,etc.,combined with liquid-solid changes such as soluting and melting;it also includes micro-nano molding technology,such as melt-blown method,coagulation bath method,ES method,and nanoimprint method.In fact,ES technology has good controllability of thickness dimension and rich means of nanoscale structure regulation.At present,these characteristics have not been reviewed.Therefore,in this paper,we combine recent reports with some microstructure regulation functions of ES to establish a more general TENGs design method.Based on the rich microstructure research results in the field of ES,much more new types of TENGs can be designed in the future.

关键词： Triboelectric nanogenerators Electrospinning Fiber microstructure regulation Nanomaterials Membranes Global optimization

Ubiquitin-specific protease 21 promotes tumorigenicity and stemness of colorectal cancer by deubiquitinating and stabilizing ZEB1

在线全文

学校读者我要写书评

暂无评论

World Journal of Gastrointestinal Oncology 2024年第3期16卷 1006-1018页

作者： Jun-Jun Lin ye-Cai lu Department of Gastrointestinal Surgery Chaohu Hospital of Anhui Medical UniversityChaohu 238000Anhui ProvinceChina

BACKGROUND Colorectal cancer(CRC)is one very usual tumor together with higher death rate.Ubiquitin-specific protease 21(USP21)has been confirmed to take part into the regulation of CRC progression through serving as a facilitator.Interestingly,the promotive function of USP21 has also discovered in the progression of CRC.ZEB1 has illustrated to be modulated by USP7,USP22 and USP51 in cancers.However,the regulatory functions of USP21 on ZEB1 in CRC progression need more invest-igations.AIM To investigate the relationship between USP21 and ZEB1 in CRC progression.METHODS The mRNA and protein expressions were assessed through RT-qPCR,western blot and IHC assay.The interaction between USP21 and ZEB1 was evaluated through Co-IP and GST pull down assays.The cell proliferation was detected through colony formation assay.The cell migration and invasion abilities were determined through Transwell assay.The stemness was tested through sphere formation assay.The tumor growth was evaluated through in vivo mice assay.RESULTS In this work,USP21 and ZEB1 exhibited higher expression in CRC,and resulted into poor prognosis.Moreover,the interaction between USP21 and ZEB1 was further investigated.It was demonstrated that USP21 contributed to the stability of ZEB1 through modulating ubiquitination level.In addition,USP21 streng-thened cell proliferation,migration and stemness through regulating ZEB1.At last,through in vivo assays,it was illustrated that USP21/ZEB1 axis aggravated tumor growth.CONCluSION For the first time,these above findings manifested that USP21 promoted tumorigenicity and stemness of CRC by deubiquitinating and stabilizing ZEB1.This discovery suggested that USP21/ZEB1 axis may provide novel sights for the treatment of CRC.

关键词： Ubiquitin-specific protease 21 ZEB1 Stemness Colorectal cancer

The effect of fasting plasma glucose on in-hospital mortality after acute myocardial infarction in patients with and without diabetes:findings from a prospective,nationwide,and multicenter registry

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Geriatric Cardiology 2024年第5期21卷 523-533页

作者： Rui FU Ying-Xuan ZHU Kong-Yong CUI Jin-Gang YANG Hai-Yan XU Dong YIN Wei-Hua SONG Hong-Jian WANG Cheng-Gang ZHU Lei FENG Wei WU Kai-HongCHEN Yan-Yan ZHAO ye lu Ke-Fei DOU Yue-Jin YANG on behalf of the CAMI Registry Investigators Cardiometabolic Medicine Center Fuwai HospitalNational Center for Cardiovascular DiseasesState Key Laboratory of Cardiovascular DiseaseNational Clinical Research Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Medical Research&Biometrics Center Fuwai HospitalNational Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Coronary Heart Disease Center Fuwai HospitalNational Center for Cardiovascular DiseasesState Key Laboratory of Cardiovascular DiseaseNational Clinical Research Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Department of Cardiology Guangzhou Traditional Chinese Medical College First Affiliated HospitalGuangdong ProvinceChina Department of Cardiology Longyan Hospital First HospitalFujian ProvinceChina 不详

OBJECTIVES To evaluate the predictive value of fasting plasma glucose(FPG)for in-hospital mortality in patients with acute myocardial infarction(AMI)with different glucose metabolism status.METHODS We selected 5,308 participants with AMI from the prospective,nationwide,multicenter CAMI registry,of which 2,081 were diabetic and 3,227 were nondiabetic.Patients were divided into high FPG and low FPG groups according to the optim-al cutoff values of FPG to predict in-hospital mortality for diabetic and nondiabetic cohorts,respectively.The primary endpoint was in-hospital mortality.RESULTS Overall,94 diabetic patients(4.5%)and 131 nondiabetic patients(4.1%)died during hospitalization,and the optimal FPG thresholds for predicting in-hospital death of the two cohorts were 13.2 mmol/L and 6.4 mmol/L,respectively.Compared with individuals who had low FPG,those with high FPG were significantly associated with higher in-hospital mortality in diabet-ic cohort(10.1%vs.2.8%;odds ratio[OR]=3.862,95%confidence interval[CI]:2.542-5.869)and nondiabetic cohort(7.4%vs.1.7%;HR=4.542,95%CI:3.041-6.782).After adjusting the potential confounders,this significant association was not changed.Further-more,FPG as a continuous variable was positively associated with in-hospital mortality in single-variable and multivariable models regardless of diabetic status.Adding FPG to the original model showed a significant improvement in C-statistic and net reclassification in diabetic and nondiabetic cohorts.CONCluSIONS This large-scale registry indicated that there is a strong positive association between FPG and in-hospital mor-tality in AMI patients with and without diabetes.FPG might be useful to stratify patients with AMI.

关键词： patients fasting infarction

Synergistic effects of the entomopathogenic fungus Isaria javanica and low doses of dinotefuran on the efficient control of the rice pest Sogatella furcifera

在线全文

学校读者我要写书评

暂无评论

Journal of Integrative Agriculture 2024年第2期23卷 621-638页

作者： Tingting Zhou Qian Zhao Chengzhou Li lu ye Yanfang Li Nemat OKeyhani Zhen Huang Department of Entomology College of Plant ProtectionSouth China Agricultural UniversityGuangzhou 510642China Guangdong Provincial Key Laboratory of High Technology for Plant Protection Plant Protection Research InstituteGuangdong Academy of Agricultural SciencesGuangzhou 510642China Department of Microbiology and Cell Science Institute of Food and Agricultural SciencesUniversity of FloridaFL 32611USA

The rice planthopper,Sogatella furcifera,is a piercing-sucking insect pest of rice,Oryza sativa.It is responsible for significant crop yield losses,and has developed moderate to high resistance to several commonly used chemical insecticides.We investigated the effects of the insect fungal pathogen Isaria javanica,alone and in combination with the chemical insecticide dinotefuran,on S.furcifera under both laboratory and field conditions.Our results show that I.javanica displays high infection efficiency and mortality for different stages of S.furcifera,reducing adult survival,female oviposition and ovary development.Laboratory bioassays showed that the combined use of I.javanica with a low dose(4-16 mg L^(-1))of dinotefuran resulted in higher mortality in S.furcifera than the use of I.javanica or dinotefuran alone.The combined treatment also had more significant effects on several host enzymes,including superoxide dismutase,catalase,peroxidase,and prophenol oxidase activities.In field trials,I.javanica effectively suppressed populations of rice planthoppers to low levels(22-64%of the level in untreated plots).Additional field experiments showed synergistic effects,i.e.,enhanced efficiency,for the control of S.furcifera populations using the combination of a low dose of I.javanica(1×10^(4) conidia mL^(-1))and a low dose of dinotefuran(~4.8-19.2%of normal field use levels),with control effects of>90%and a population level under 50 insects per 100 hills at 3-14 days post-treatment.Our findings indicate that the entomogenous fungus I.javanica offers an attractive biological control addition as part of the integrated pest management(IPM)practices for the control of rice plant pests.

关键词： Isaria javanica Sogatella furcifera entomopathogenic fungus white planthopper rice synergistic effect on pest control

Neutrophil-sourced TNF in cancer:deciphering an intricate orchestrator of immunosuppressive communication in the tumor microenvironment

在线全文

学校读者我要写书评

暂无评论

Signal Transduction and Targeted Therapy 2023年第8期8卷 3558-3560页

作者： Xinyuan Zhao ye lu Li Cui Stomatological Hospital School of StomatologySouthern Medical UniversityGuangzhou 510280 GuangdongChina Division of Oral Biology and Medicine School of DentistryUniversity of CaliforniaLos AngelesLos Angeles 90095 CAUSA

In a recent Cancer Discovery publication,Bianchi et al.unveil a crucial mechanism driving therapeutic resistance in pancreatic ductal adenocarcinoma(PDAC),orchestrated by cell-autonomous Cxcl1 and TNF from polymorphonuclear myeloid-derived suppressor cells(PMN-MDSCs).This insight provides fresh perspectives for surmounting such resistance in PDAC.1 PDAC represents a highly aggressive malignancy exhibiting substantial therapeutic resistance,attributable to factors such as intractable genomic aberrations,immunosuppression mediated by myeloid cells,and pro-inflammatory activation of cancerassociated fibroblasts.

关键词： cancer Cancer

Knowledge-based neural network SPICE modeling for MOSFETs and its application on 2D material field-effect transistors

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China(Information Sciences) 2023年第2期66卷 227-236页

作者： Guodong QI Xinyu CHEN Guangxi HU Peng ZHOU Wenzhong BAO ye lu State Key Laboratory of ASIC and System School of Information Science and TechnologyFudan University State Key Laboratory of ASIC and System School of Microelectronics Fudan University Zhangjiang Fudan International Innovation Center Fudan University

As the traditional scaling of silicon metal-oxide-semiconductor field-effect transistors(MOSFETs) reaches its physical limit, research efforts on novel semiconductor devices are increasingly desired. To enable the joint optimization of early-stage circuit design and process of novel devices, the rapid creation of an accurate compact model of these devices with the capability to cover process variations is required. In this work, a knowledge-based neural network(KNN) modeling method is proposed. This method separates the geometrical variables from the other input variables of the device, where the geometrical variables are modeled with physics-based analytical equations, while the remaining part is modeled by an artificial neural network. The KNN model takes advantage of the automated numerical fitting capability of the neural network and the geometrical scalability from device physics. The created KNN model is first validated with silicon MOSFET data from the industry standard BSIM6 and shows more than 20% accuracy improvement as compared with the traditional neural network model. Furthermore, MoS2field-effect transistors and circuits,such as ring oscillators, standard cells, and logic functional circuits, are experimentally fabricated for model verification. The results show that the KNN model is capable of predicting the electrical characteristics of devices beyond the measurement geometry and facilitates the accurate simulations of statistical circuits with respect to experimental data. This work paves the way for future circuit designs and simulations of novel semiconductor devices.

关键词： knowledge-based neural network MOSFET 2D material FETs Monte Carlo simulations circuit benchmark

Cantrell综合征15例产前超声表现分析

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

四川大学学报（医学版） 2024年第3期55卷 749-755页

作者：梁晓玲叶璐四川省妇幼保健院超声科成都610045 四川大学华西第二医院超声科、出生缺陷与相关妇儿疾病教育部重点实验室成都610041

目的总结分析Cantrell综合征胎儿产前超声表现及产后检查结果。方法回顾性分析2018年3月至2023年7月产前超声诊断为Cantrell综合征并经引产标本或产后检查确诊的胎儿15例,分析产前超声图像表现及产后结果。结果 15例中有单胎10例及双... 详细信息

目的总结分析Cantrell综合征胎儿产前超声表现及产后检查结果。方法回顾性分析2018年3月至2023年7月产前超声诊断为Cantrell综合征并经引产标本或产后检查确诊的胎儿15例,分析产前超声图像表现及产后结果。结果 15例中有单胎10例及双胎之一5例。早孕期超声诊断13例,漏诊1例,漏诊率为7.1%;中孕期超声诊断2例。产前超声检查显示15例胎儿共有表现为异位心和腹部膨出团块。5例行胎儿超声心动图检查,发现心内畸形4例(80%);13例(86.7%)合并其他系统畸形;14例行颈项透明层(nuchal translucency, NT)检查的胎儿中有7例(50%)NT增厚,其中有颈部淋巴水囊瘤5例。10例单胎均被引产,引产胎儿标本外观与产前超声检查结果相符。5例双胎之一中有2例胎死宫内,2例行选择性减胎术,其中3例胎儿产后外观与产前超声检查结果相符,1例减胎术后胎儿在分娩时已显示不清;1例失访。4例引产胎儿行遗传学检查,均未查见相关的致病性或可能致病性变异。结论 Cantrell综合征产前超声共有表现为异位心和腹部膨出团块,心内畸形及伴发畸形多见;绝大多数可在早孕期由超声诊断,但也有漏诊可能,需在中孕期密切随访。

关键词： Cantrell五联征超声检查产前胎儿

AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks

在线全文

学校读者我要写书评

暂无评论

Journal of Computer Science & Technology 2024年第2期39卷 401-420页

作者：龚成卢冶代素蓉邓倩杜承昆李涛 College of Software Nankai UniversityTianjin 300350China College of Computer Science Nankai UniversityTianjin 300350China State Key Laboratory of Processors Institute of Computing TechnologyChinese Academy of Sciences Beijing 100190China

Exploring the expected quantizing scheme with suitable mixed-precision policy is the key to compress deep neural networks(DNNs)in high efficiency and accuracy.This exploration implies heavy workloads for domain experts,and an automatic compression method is needed.However,the huge search space of the automatic method introduces plenty of computing budgets that make the automatic process challenging to be applied in real scenarios.In this paper,we propose an end-to-end framework named AutoQNN,for automatically quantizing different layers utilizing different schemes and bitwidths without any human labor.AutoQNN can seek desirable quantizing schemes and mixed-precision policies for mainstream DNN models efficiently by involving three techniques:quantizing scheme search(QSS),quantizing precision learning(QPL),and quantized architecture generation(QAG).QSS introduces five quantizing schemes and defines three new schemes as a candidate set for scheme search,and then uses the Differentiable Neural Architecture Search(DNAS)algorithm to seek the layer-or model-desired scheme from the set.QPL is the first method to learn mixed-precision policies by reparameterizing the bitwidths of quantizing schemes,to the best of our knowledge.QPL optimizes both classification loss and precision loss of DNNs efficiently and obtains the relatively optimal mixed-precision model within limited model size and memory footprint.QAG is designed to convert arbitrary architectures into corresponding quantized ones without manual intervention,to facilitate end-to-end neural network quantization.We have implemented AutoQNN and integrated it into Keras.Extensive experiments demonstrate that AutoQNN can consistently outperform state-of-the-art quantization.For 2-bit weight and activation of AlexNet and ResNet18,AutoQNN can achieve the accuracy results of 59.75%and 68.86%,respectively,and obtain accuracy improvements by up to 1.65%and 1.74%,respectively,compared with state-of-the-art methods.Especially,compared with the full-precision AlexNet and ResN

关键词： automatic quantization mixed precision quantizing scheme search quantizing precision learning quan-tized architecture generation