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Abnormal Traffic Detection for Internet of Things Based on an Improved Residual Network

Computers, Materials & Continua 2024年第6期79卷 4433-4448页

作者： tingting su Jia Wang Wei Hu Gaoqiang Dong Jeon Gwanggil School of Computer Science and Technology Xinjiang UniversityUrumqi830046China School of Cyber Science and Engineering Jinling Institute of Technology CityNanjing210000China College of Information Technology Incheon National UniversityIncheon22012Korea

Along with the progression of Internet of Things(IoT)technology,network terminals are becoming continuously more *** has been widely applied in various scenarios,including urban infrastructure,transportation,industry,personal life,and other socio-economic *** introduction of deep learning has brought new security challenges,like an increment in abnormal traffic,which threatens network *** feature extraction leads to less accurate classification *** abnormal traffic detection,the data of network traffic is high-dimensional and *** data not only increases the computational burden of model training but also makes information extraction more *** address these issues,this paper proposes an MD-MRD-ResNeXt model for abnormal network traffic *** fully utilize the multi-scale information in network traffic,a Multi-scale Dilated feature extraction(MD)block is *** module can effectively understand and process information at various scales and uses dilated convolution technology to significantly broaden the model’s receptive *** proposed Max-feature-map Residual with Dual-channel pooling(MRD)block integrates the maximum feature map with the residual *** module ensures the model focuses on key information,thereby optimizing computational efficiency and reducing unnecessary information *** results show that compared to the latest methods,the proposed abnormal traffic detection model improves accuracy by about 2%.

关键词： Abnormal network traffic deep learning residual network multi-scale feature extraction max-feature-map

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Comparative assessment of phenolics,antioxidant and antiproliferative activities between Hippophae rhamnoides *** and *** leaf in Qinghai-Tibet Plateau

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Food Bioscience 2022年第2期46卷 148-157页

作者： Juan Wei tingting su Hailan su Yumei Jiang Jixin Li Yang Bi College of Food Science and Engineering Gansu Agricultural UniversityLanzhou730070China

Hippophae rhamnoides ***(Rha)and ***(Tib)are two species of sea buckthorn which distribute in Qinghai-Tibet *** results showed that both sea buckthorn leaf exhibited high total phenolic and flavonoid content,and Rha leaf showed much higher *** addition,66 phenolic compounds were detected,belonging to classes of benzoic acid derivatives,flavonols,flavanols,flavanones,and so *** of benzoic acid derivatives and flavonols were most abundant,among them ellagic acid and rutin were the most and second abundant ***,methyl gallate,2,6-dihydroxybenzoic acid,4-hydroxybenzoic acid,gentisic acid,narcissin,astragalin,nicotiflorin,prunin,procyanidin B3,cyanidin 3-O-rutinoside chloride,delphinidin 3-glucoside,gallocatechin,taxifolin,aromadendrin and trans-3,3′,4′,5,5′,7-Hexahydroxyflavanone were the first time to be identified in SBT ***,significant free radical scavenging effects of ABTS and DPPH,ferric reducing antioxidant ability,cellular antioxidant properties and anti-proliferation activity against HepG2 cells were observed in the aqueous ethanol extracts of sea buckthorn *** Rha showed stronger inhibitory effects,which might due to the higher content of total phenolic and flavonoid *** finding clearly supported that Rha leaf as a wild and non-pollution plant could be a better choice as a healthy food resource.

关键词： Sea buckthorn Phenolic compounds Flavonoids Antioxidant capacity Antiproliferation activity

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Multifunctional Ce-MOF@PdNPs with colorimetric fluorescent electrochemical activity for ultrasensitive and accurate detection of diethylstilbestrol

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Nano Research 2024年第11期17卷 9990-9998页

作者： Mingyue Ye tingting su Jin Li Xiaowan Chen Dichen Ying Shijia Wu Zhouping Wang Nuo Duan State Key Laboratory of Food Science and Resources Jiangnan University Wuxi 214122 China School of Food Science and Technology Jiangnan University Wuxi 214122 China International Joint Laboratory on Food Safety Jiangnan University Wuxi 214122 China

The development of biosensors is gaining tremendous attention in various fields due to their extraordinary advantages, however, their sensitivity and accuracy are still challenging. Herein, we proposed a novel multifunctional nanocomposite Ce-MOF@PdNPs (MOF = metal-organic framework, PdNPs = Pd nanoparticles)-mediated triple-readout aptasensor for accurate and reliable detection of diethylstilbestrol (DES), in which Ce-MOF@PdNPs exhibited excellent peroxidase (POD)-like activity, fluormetric, and electro conductive properties. In addition, enzymes-assisted target recycling amplification was utilized to improve the sensitivity, that is the specific binding of aptamer and DES triggered an Exo III enzyme-assisted recycling reaction. The generated F-DNA was captured by the H3 strand linked to Ce-MOF@PdNPs immobilized on the electrode, exposing cleavage sites and activating the *** enzyme-assisted recycling reaction, leading to the dissociation of Ce-MOF@PdNPs and a significant reduced electrochemical signal. The collected Ce-MOF@PdNPs solution also induced a proportional change in the color and fluorescence, achieving a colorimetric and fluormetric detection functionality. The detection limit under colorimetric mode was 0.16 and 0.76 ng/mL under fluorescence mode, and 0.87 pg/mL under electrochemical mode. This triple-readout aptasensor exhibits high sensitivity, selectivity and accuracy, providing a new idea for designing novel biosensing platforms for veterinary drug residue detection.

关键词： cerium-based materials Pd nanoparticles(PdNPs) aptamer colorimetric/fluorescence/electrochemical signal amplification

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C_4 plant species and geographical distribution in relation to climate in the desert vegetation of China

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Research in Cold and Arid Regions 2011年第5期3卷 381-391页

作者： PeiXi su tingting Xie ZiJuan Zhou Linze Inland River Basin Research Station Laboratory of Plant Stress Ecophysiology and Biotechnology Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Lanzhou 730000 China

Water use efficiency of Ca plants is higher than that of C3 plants, and CAM （Crassulaceae Acid Metabolism） plants have the highest water use efficiency. In the desert regions of China, CAM plants are scarce, and C4 plants, especiaUy C4 woody plants, have an important position and role in the desert ecosystem. There are 45 species of Ca woody plants in the desert regions of China, including semi-woody plants, accounting for 6% of the total desert plant species in China, and most of them are concentrated in the families of Chenopodiaceae and Polygonaceae, which are 19 species and 26 species, respectively. The number of C4 herbaceous plants is 107 species, including 48 monocot species and 59 dicot species. C4 woody plants mainly inhabit the northwestem arid desert regions of China west of the Helan Mountains. The drought-resistance and drought-tolerance of Ca herbaceous plants are worse than C4 woody plants, and C4 herbaceous plants mainly inhabit areas with shallow groundwater depth and better water conditions in the desert regions, and are widely distributed along the margins of oases. The abundance of C4 woody plants is closely correlated with drought, but the abundance of C4 herbaceous plants increases with wet conditions.

关键词： desert plant Ca photosynthesis woody plant geographical distribution

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聚丁二酸-辛二酸丁二醇酯的合成与酶促降解性能

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高分子材料科学与工程 2022年第12期38卷 131-136,145页

作者：杨锦宋力苏婷婷辽宁石油化工大学石油化工学院辽宁抚顺113001

以1,4-丁二醇及不同比例的丁二酸、辛二酸为原料,合成了2种均聚酯(聚丁二酸丁二醇酯、聚辛二酸丁二醇酯)和4种聚(丁二酸-co-辛二酸丁二醇)共聚酯。采用衰减全反射傅里叶变换红外光谱仪、核磁共振波谱仪、差示扫描量热仪、X射线衍射仪和... 详细信息

以1,4-丁二醇及不同比例的丁二酸、辛二酸为原料,合成了2种均聚酯(聚丁二酸丁二醇酯、聚辛二酸丁二醇酯)和4种聚(丁二酸-co-辛二酸丁二醇)共聚酯。采用衰减全反射傅里叶变换红外光谱仪、核磁共振波谱仪、差示扫描量热仪、X射线衍射仪和热重分析仪等对聚酯的分子结构、热性能、结晶性能和力学性能进行表征。结果表明,当引入60%的辛二酸单元时,共聚酯的熔点最低,结晶度最小,断裂伸长率较高且8 h后可完全降解,共聚酯的力学性能也变得更加优异。

关键词：共聚酯热性能结晶性能酶降解

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Reduced mesencephalic astrocyte-derived neurotrophic factor expression by mutant androgen receptor contributes to neurodegeneration in a model of spinal and bulbar muscular atrophy pathology

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Neural Regeneration Research 2025年第9期20卷 2655-2666页

作者： Yiyang Qin Wenzhen Zhu tingting Guo Yiran Zhang tingting Xing Peng Yin Shihua Li Xiao-Jiang Li su Yang Guangdong Key Laboratory of Non-human Primate Research Key Laboratory of CNS Regeneration(Ministry of Education)Guangdong–HongKong–Macao Institute of CNS RegenerationJinan UniversityGuangzhouGuangdong ProvinceChina

Spinal and bulbar muscular atrophy is a neurodegenerative disease caused by extended CAG trinucleotide repeats in the androgen receptor gene,which encodes a ligand-dependent transcription facto *** mutant androgen receptor protein,characterized by polyglutamine expansion,is prone to misfolding and forms aggregates in both the nucleus and cytoplasm in the brain in spinal and bulbar muscular atrophy *** aggregates alter protein-protein interactions and compromise transcriptional *** this study,we reported that in both cultured N2a cells and mouse brain,mutant androgen receptor with polyglutamine expansion causes reduced expression of mesencephalic astrocyte-de rived neurotrophic *** n of mesencephalic astrocyte-derived neurotrophic factor amelio rated the neurotoxicity of mutant androgen receptor through the inhibition of mutant androgen receptor *** down endogenous mesencephalic astrocyte-derived neurotrophic factor in the mouse brain exacerbated neuronal damage and mutant androgen receptor *** findings suggest that inhibition of mesencephalic astrocyte-derived neurotrophic factor expression by mutant androgen receptor is a potential mechanism underlying neurodegeneration in spinal and bulbar muscular atrophy.

关键词： androgen receptor mesencephalic astrocyte-derived neurotrophic factor mouse model neurodegeneration neuronal loss neurotrophic factor polyglutamine disease protein misfolding spinal and bulbar muscular atrophy transcription factor

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p63蛋白、芳香酶P450及类固醇生成因子1在子宫内膜息肉中的表达及意义

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中华妇产科杂志 2014年第8期49卷 604-608页

作者：苏婷婷隋龙复旦大学附属妇产科医院宫颈疾病诊疗中心上海200011

目的探讨p63蛋白、芳香酶P450 （P450arom）及类固醇生成因子1（SF-1）在子宫内膜息肉中的表达变化及其在子宫内膜息肉发病机制中的作用.方法选择2012年6月至10月在复旦大学附属妇产科医院就诊、因异常阴道流血或宫腔占位等行宫腔镜... 详细信息

目的探讨p63蛋白、芳香酶P450 （P450arom）及类固醇生成因子1（SF-1）在子宫内膜息肉中的表达变化及其在子宫内膜息肉发病机制中的作用.方法选择2012年6月至10月在复旦大学附属妇产科医院就诊、因异常阴道流血或宫腔占位等行宫腔镜手术、术后病理诊断为子宫内膜息肉的患者30例;同时经患者及医院伦理委员会同意,取息肉周围内膜组织20例及正常子宫内膜组织25例.采用免疫组化SP法及实时荧光定量PCR技术检测p63、P450arom及SF-1蛋白和mRNA的表达情况（蛋白的表达以组织化学评分表示）.结果（1）蛋白表达：p63、P450arom及SF-1蛋白在子宫内膜息肉组织中的表达均显著升高（P＜0.05）,评分分别为（0.8±0.5）、（1.2±1.1）、（1.1±0.8）分,正常子宫内膜组织中均无3种蛋白的表达（评分均为0）.（2）mRNA表达：P450arom mRNA的表达水平在子宫内膜息肉组织中高于息肉周围内膜、正常子宫内膜组织,分别为0.274±0.082、0.105±0.052、0.105±0.065,分别比较,差异均有统计学意义（P＜0.01）;而SF-1 mRNA（分别为0.105±0.049、0.053±0.043）及p63mRNA（分别为0.261±0.052、0.180±0.018）的表达水平在子宫内膜息肉与息肉周围内膜之间比较,差异均无统计学意义（P＞0.05）.结论 p63、P450arom及SF-1可能是促进子宫内膜息肉形成的重要因子.

关键词：息肉子宫疾病芳香酶类固醇生成因子1 转录因子肿瘤抑制蛋白质类

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聚丁二酸丁二醇酯和聚辛二酸丁二醇酯及聚(丁二酸-co-辛二酸丁二醇)共聚酯的酶促降解

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高分子材料科学与工程 2024年第1期40卷 66-73页

作者：刘姝宁宋力苏婷婷辽宁石油化工大学石油化工学院辽宁抚顺113001

以1,4-丁二醇与不同链长二元酸单体为原料,合成了聚丁二酸丁二醇酯(PBS)和聚辛二酸丁二醇酯(PBsub)2种均聚酯和4种不同比例聚(丁二酸-co-辛二酸丁二醇)共聚酯。以上述6种聚酯为降解底物,利用角质酶对其进行降解研究。通过衰减全反射傅... 详细信息

以1,4-丁二醇与不同链长二元酸单体为原料,合成了聚丁二酸丁二醇酯(PBS)和聚辛二酸丁二醇酯(PBsub)2种均聚酯和4种不同比例聚(丁二酸-co-辛二酸丁二醇)共聚酯。以上述6种聚酯为降解底物,利用角质酶对其进行降解研究。通过衰减全反射傅里叶变换红外光谱、核磁共振波谱仪、差示扫描量热仪、X射线衍射仪和热重分析仪等对聚酯及其降解产物进行表征分析。6种聚酯的晶体结构、熔点、结晶度和热稳定性变化不大。研究表明,聚酯的结晶度和熔点温度是影响其酶降解的重要因素。角质酶降解共聚酯的结晶区和非结晶区,但优先降解非结晶区。丁二酸/辛二酸投料摩尔比为4/6和6/4的降解效果最好,但摩尔比为6/4的样品熔点较高,为最佳比例。

关键词：聚(丁二酸-co-辛二酸丁二醇) 角质酶降解

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税收自愿披露制度的国际比较与借鉴

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国际税收 2021年第4期 75-80页

作者：苏婷婷国家税务总局征管和科技发展司

本文立足于我国持续优化市场化、法治化、国际化营商环境的背景,对税收自愿披露制度的国际经验、国内实践进行梳理分析,提出我国在研究借鉴税收自愿披露制度时需要总体考虑三个方面,并从适用主体、适用情形、豁免范围、披露要求四个层... 详细信息

本文立足于我国持续优化市场化、法治化、国际化营商环境的背景,对税收自愿披露制度的国际经验、国内实践进行梳理分析,提出我国在研究借鉴税收自愿披露制度时需要总体考虑三个方面,并从适用主体、适用情形、豁免范围、披露要求四个层面对税收自愿披露制度设计进行探讨。

关键词：税收自愿披露税收遵从

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基于R-LWE的密文域多比特可逆信息隐藏算法

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计算机研究与发展 2016年第10期53卷 2307-2322页

作者：柯彦张敏情苏婷婷网络与信息安全武警部队重点实验室(武警工程大学) 西安710086 武警工程大学电子技术系西安710086

密文域可逆信息隐藏是一种以密文为载体进行信息嵌入与提取,同时能够对嵌入信息后的密文进行无失真解密并恢复出原始明文的信息隐藏技术,具有隐私保护与信息隐藏双重功能,在密文域数据处理与管理中具有较好的应用前景.因此,提出了一种基... 详细信息

密文域可逆信息隐藏是一种以密文为载体进行信息嵌入与提取,同时能够对嵌入信息后的密文进行无失真解密并恢复出原始明文的信息隐藏技术,具有隐私保护与信息隐藏双重功能,在密文域数据处理与管理中具有较好的应用前景.因此,提出了一种基于R-LWE(ring-learning with errors)的密文域多比特可逆信息隐藏方案.首先使用R-LWE算法对载体明文进行快速高强度加密,然后通过对单位比特明文在密文空间映射区域的重量化以及对应密文的再编码,实现了在密文中嵌入多比特隐藏信息;嵌入信息时,根据加密过程中的数据分布特征来进行嵌入编码,保证了加解密与信息提取的鲁棒性;解密与提取信息时,先计算量化系数,而后采用不同的量化标准分别进行解密或信息提取,实现了解密与提取过程的可分离.分析方案的正确性时,首先推导方案出错的概率,说明了算法中引入的噪声的标准差对方案正确性的影响,然后结合理论分析与实验得出了保证方案正确性的噪声标准差的取值区间;通过推导嵌入后密文的分布函数,分析密文统计特征的变化,论证了密文中嵌入隐藏信息的不可感知性.实验结果表明:该文方案不仅能够实现嵌入后密文的无差错解密与秘密信息的可靠提取,并且单位比特明文在密文域能够负载多比特隐藏信息,密文嵌入率最高可达到0.2353bpb.

关键词：信息安全可逆信息隐藏密文域多比特嵌入环上带误差的学习

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