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Synchronization of Drive-Response Networks With Delays on Time Scales

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 1063-1065页

作者： yanxia Tan Zhenkun Huang the School of Science Jimei UniversityXiamen 361021China

Dear Editor,This letter deals with the synchronization in drive-response networks with discrete and distributed delays on time *** on the theory of calculus on time scales,Lyapunov functional method and inequality technique,we obtain new sufficient conditions to ensure synchronization criteria which are dependent on boundedness of grainness but independent of the types of *** simulations are given to illustrate the effectiveness of our new results.

关键词： inequality letter boundedness

西宁湟水河人工湿地对水体氮、磷污染物负荷削减的研究

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青海科技 2024年第1期31卷 25-33页

作者：张莉刘玮张瑞周华坤毛旭锋金艳霞陈哲汪海波青海师范大学/高原科学与可持续发展研究院西宁810016 中国科学院西北高原生物研究所/青海省寒区恢复生态学重点实验室西宁810008 青海省青藏高原生物多样性形成机制与综合利用重点实验室西宁810016 青海省果洛藏族自治州林业和草原站果洛814000

人工湿地建设是我国北方城镇化进程中重要的生态优化措施,其作为城市生态系统的重要组成,在净化水体、调节水质等方面具有重要的生态服务功能。为了探明高原城市人工湿地建设后对水体的水质改善、氮磷等污染物负荷削减的生态效应,在6月... 详细信息

人工湿地建设是我国北方城镇化进程中重要的生态优化措施,其作为城市生态系统的重要组成,在净化水体、调节水质等方面具有重要的生态服务功能。为了探明高原城市人工湿地建设后对水体的水质改善、氮磷等污染物负荷削减的生态效应,在6月-11月重点监测了青海西宁火烧沟湿地、海湖湿地、北川湿地三处水体不同断面氮、磷污染物浓度的季节变化特征。结果表明:(1)火烧沟湿地污染物浓度峰值出现在枯水期,而丰水期浓度普遍较低,海湖湿地和北川湿地丰水期污染物浓度较高。(2)湿地对水体主要污染物负荷有一定的削减作用,主要体现在海湖湿地和北川湿地总氮(Total Nitrogen,TN)、总磷(Total Phosphorus,TP)、化学需氧量(COD_(Cr))、高锰酸盐指数(COD_(Mn))的去除效果,海湖湿地对其削减率分别为11.74%、29.32%、41%和25.19%,北川湿地中削减率分别为25.02%、54.71%、32.03%和1.91%。且三处湿地来水的TN、TP、COD_(Cr)、COD_(Mn)含量均值普遍达到Ⅱ类水标准。其中,火烧沟湿地和北川湿地COD_(Cr)浓度达到Ⅰ类水标准,而海湖湿地COD_(Mn)含量较高,属Ⅲ类水标准。(3)通过对水质指标的相关性分析,发现水体TP与p H、降水量、温度的相关性较高,TN与COD_(Cr)的相关性较高。

关键词：高原城市湟水国家湿地公园水污染水体净化湿地修复

超声联合人工智能技术评估对肌少症的诊断价值研究

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中国老年保健医学 2024年第1期22卷 54-57页

作者：刘菲张静胡希红胡晓慧张蕴萍缪丹金鑫马晓妍金艳霞卢成华大连市友谊医院老年病科 116000 大连市中心医院老年病科 116000 大连市友谊医院影像科 116000 大连市第三人民医院老年病科 116000

目的探讨超声联合人工智能技术评估肌少症的诊断价值。方法选取2020年10月到2022年10月我院收治的30例肌少症患者进行回顾性分析,作为肌少症组,另选取同期来我院体检的30例非肌少症志愿者作为非肌少症组。对比两组患者临床资料,所有患... 详细信息

目的探讨超声联合人工智能技术评估肌少症的诊断价值。方法选取2020年10月到2022年10月我院收治的30例肌少症患者进行回顾性分析,作为肌少症组,另选取同期来我院体检的30例非肌少症志愿者作为非肌少症组。对比两组患者临床资料,所有患者均采取超声联合人工智能技术进行评估,对比两组患者股四头肌厚度,以CT检测结果,计算骨骼肌指数(SMI)作为金标准,采用Spearman分析肌肉厚度与SMI的相关性。最后,建立ROC曲线与金标准进行比较,分析超声联合人工智能技术评估对肌少症的诊断效能。结果两组患者性别、年龄、体质量指数、合并高血压、合并糖尿病、合并心衰史、吸烟史、饮酒史及空腹血糖、总胆固醇、高密度脂蛋白胆因醇、低密度脂蛋白胆固醇、前白蛋白、血肌酐、心肌型肌酸激酶同工酶表达水平等项目对比无明显差异(P>0.05);肌少症组股四头肌骨骼肌厚度、SMI明显低于非肌少症组(P0.05)。结论超声联合人工智能技术对肌少症的诊断灵敏度和特异度较高,且有希望成为肌少症诊断的简单、有效方式,为患者的临床干预提供可靠依据。

关键词：超声人工智能技术肌少症 CT 骨骼肌指数

MIXED DISCONTINUOUS GALERKIN METHOD FOR QUASI-NEWTONIAN STOKES FLOWS

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Journal of Computational Mathematics 2024年第3期42卷 885-910页

作者： yanxia Qian Fei Wang Wenjing Yan School of Mathematics and Statistics Xi'an Jiaotong UniversityXi'an 710049China School of Mathematics and Statistics&State Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiaotong UniversityXi'an 710049China

In this paper,we introduce and analyze an augmented mixed discontinuous Galerkin(MDG)method for a class of quasi-Newtonian Stokes *** the mixed formulation,the unknowns are strain rate,stress and velocity,which are approximated by a discontinuous piecewise polynomial triplet ■for k≥***,the discontinuous piecewise polynomial function spaces for the field of strain rate and the stress field are designed to be *** addition,the pressure is easily recovered through simple *** the benefit of the analysis,we enrich the MDG scheme with the constitutive equation relating the stress and the strain rate,so that the well-posedness of the augmented formulation is obtained by a nonlinear functional *** k≥0,we get the optimal convergence order for the stress in broken ■(div)-norm and velocity in L^(2)-***,the error estimates of the strain rate and the stress in-norm,and the pressure in L^(2)-norm are optimal under certain ***,several numerical examples are given to show the performance of the augmented MDG method and verify the theoretical *** evidence is provided to show that the orders of convergence are sharp.

关键词： Quasi-Newtonian fows Mixed discontinuous Galerkin method Symmetric strain rate Symmetric stress Optimal convergence orders

Allogenic microglia replacement:A novel therapeutic strategy for neurological disorders

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Fundamental Research 2024年第2期4卷 237-245页

作者： yanxia Rao Bo Peng Department of Laboratory Animal Science MOE Frontiers Center for Brain ScienceFudan UniversityShanghai 200032China Department of Neurosurgery Huashan HospitalInstitute for Translational Brain ResearchState Key Laboratory of Medical NeurobiologyMOE Frontiers Center for Brain ScienceMOE Innovative Center for New Drug Development of Immune Inflammatory DiseasesFudan UniversityShanghai 200000China Co-Innovation Center of Neuroregeneration Nantong UniversityNantongJiangsu 226001China

Microglia are resident immune cells in the central nervous system(CNS)that play vital roles in CNS development,homeostasis and disease *** defects in microglia lead to microglial dysfunction,which in turn leads to neurological *** correction of the specific genetic defects in microglia in these disorders can lead to therapeutic *** genetic defect correction approaches are dependent on viral vectorbased genetic defect ***,the viruses used in these approaches,including adeno-associated viruses,lentiviruses and retroviruses,do not primarily target microglia;therefore,viral vector-based genetic defect corrections are ineffective in *** replacement is a novel approach to correct microglial genetic defects via replacing microglia of genetic defects with allogenic healthy *** this paper,we systematically review the history,rationale and therapeutic perspectives of microglia replacement,which would be a novel strategy for treating CNS disorders.

关键词： Microglia Replacement Microglia replacement Microglia depletion Microglia-free niche CSF1R

Automatic Generation of Artificial Space Weather Forecast Product Based on Sequence-to-sequence Model

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空间科学学报 2024年第1期44卷 80-94页

作者：罗冠霆 ZOU Yenan CAI yanxia State Key Laboratory of Space Weather National Space Science CenterChinese Academy of SciencesBeijing 100190 University of Chinese Academy of Sciences Beijing 100049 Key Laboratory of Science and Technology on Environment Space Situation Awareness Chinese Academy of SciencesBeijing 100190

Both analyzing a large amount of space weather observed data and alleviating personal experience bias are significant challenges in generating artificial space weather forecast *** the use of natural language generation methods based on the sequence-to-sequence model,space weather forecast texts can be automatically *** conduct our generation tasks at a fine-grained level,a taxonomy of space weather phenomena based on descriptions is ***,our MDH(Multi-Domain Hybrid)model is proposed for generating space weather summaries in two *** model is composed of three sequence-to-sequence-based deep neural network sub-models(one Bidirectional Auto-Regressive Transformers pre-trained model and two Transformer models).Then,to evaluate how well MDH performs,quality evaluation metrics based on two prevalent automatic metrics and our innovative human metric are *** comprehensive scores of the three summaries generating tasks on testing datasets are 70.87,93.50,and 92.69,*** results suggest that MDH can generate space weather summaries with high accuracy and coherence,as well as suitable length,which can assist forecasters in generating high-quality space weather forecast products,despite the data being starved.

关键词： Space weather Deep learning Data-to-text Natural language generation

Spatial pattern recognition for near-surface high temperature increases in mountain areas using MODIS and SRTM DEM

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Journal of Mountain Science 2024年第6期21卷 2025-2042页

作者： WANG yanxia YANG Lisha HUANG Xiaoyuan ZHOU Ruliang School of Soil and Water Conservation Southwest Forestry UniversityKunming 650224China School of Economics and Management Southwest Forestry UniversityKunming 650224China

Abrupt near-surface temperature changes in mountainous areas are a special component of the mountain climate *** and accurate measurements of the locations,intensity,and width of the near-surface changes are necessary but highly difficult due to the complicated environmental conditions and instrumental *** paper develops a spatial pattern recognition method to measure the near-surface high temperature increase(NSHTI),one of the lesser-attended ***,raster window measurement was proposed to calculate the temperature lapse rate using MODIS land surface temperature and SRTM DEM *** fully considers the terrain heights of two neighboring cells on opposite or adjacent slopes with a moving window of 3×3 cell ***,a threshold selection was performed to identify the NSHTI cells using a threshold of-0.65℃/100 ***,the NSHTI strips were parameterized through raster vectorization and spatial *** Yunnan,a mountainous province in southwestern China,as the study area,the results indicate that the NSHTI cells concentrate in a strip-like pattern along the mountains and valleys,and the strips are almost parallel to the altitude contours with a slight northward ***,they are located mostly at a 3/5 height of high mountains or within 400 m from the valley floors,where the controlling topographic index is the altitude of the terrain trend surface but not the absolute elevation and the topographic uplift height and cutting ***,the NSHTI intensity varies with the geographic locations and the proportions increase with an exponential trend,and the horizontal width has a mean of about 1000 m and a maximum of over 5000 *** result demonstrates that the proposed method can effectively recognize NSHTI boundaries over mountains,providing support for the modeling of weather and climate systems and the development of mountain resources.

关键词： High temperature increase Mountain areas MODIS Spatial pattern recognition Raster window measurement Threshold selection

AWeb Application Fingerprint Recognition Method Based on Machine Learning

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 887-906页

作者： Yanmei Shi Wei Yu yanxia Zhao Yungang Jia School of Integrated Circuit Science and Engineering Tianjin University of TechnologyTianjin300382China College of International Business Zhejiang Yuexiu UniversityShaoxing312030China School of Public Administration Zhejiang Gongshang UniversityHangzhou310018China Tianjin Branch of National Computer Network Emergency Response Technical Team/Coordination Center of China Tianjin300100China

Web application fingerprint recognition is an effective security technology designed to identify and classify web applications,thereby enhancing the detection of potential threats and *** fingerprint recognition methods,which rely on preannotated feature matching,face inherent limitations due to the ever-evolving nature and diverse landscape of web *** response to these challenges,this work proposes an innovative web application fingerprint recognition method founded on clustering *** method involves extensive data collection from the Tranco List,employing adjusted feature selection built upon Wappalyzer and noise reduction through truncated SVD dimensionality *** core of the methodology lies in the application of the unsupervised OPTICS clustering algorithm,eliminating the need for preannotated *** transforming web applications into feature vectors and leveraging clustering algorithms,our approach accurately categorizes diverse web applications,providing comprehensive and precise fingerprint *** experimental results,which are obtained on a dataset featuring various web application types,affirm the efficacy of the method,demonstrating its ability to achieve high accuracy and broad *** novel approach not only distinguishes between different web application types effectively but also demonstrates superiority in terms of classification accuracy and coverage,offering a robust solution to the challenges of web application fingerprint recognition.

关键词： Web application fingerprint recognition unsupervised learning clustering algorithm feature extraction automated testing network security

Highly Selective Gas-phase Synthesis of 1,1-Dichloroethylene from 1,1,2-Trichloroethane over Supported Amine Catalysts

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Chemical Research in Chinese Universities 2015年第5期31卷 787-791页

作者： TANG Cen jin yanxia WANG Xiaoxia HU Gengshen XIE Guanqun LI Xiaonian LUO Mengfei Key Laboratory of the Ministry of Education for Advanced Catalysis Materials Zhejiang Normal University Jinhua 321004 P. R. China Industrial Catalysis Institute of Zhejiang University of Technology Hangzhou 310014 P. R. China

The manufacture of 1,1-dichloroethylene（1,1-DCE） usually employs liquid phase method to perform the dehydrochlorination of 1,1,2-trichloroethane（TCE）, where large amounts of high-concentration salty wastewater is produced inevitably. It has been a long-term goal to achieve the gas phase synthesis of 1,1-DCE via supported cata- lysts. In this work, the gas-phase synthesis of 1,1-DCE from TCE was studied in the presence of pentaethylenehexamine（PEHA） supported on silica. High and stable selectivity to 1,1-DCE（up to 98%） was obtained, which could be ascribed to the relatively strong basicity of PEHA according to a proposed E2 mechanism. The formation of PEHA chloride from the HCI generated in situ was detected and was considered to be the main reason for the deactivation of PEHA catalyst.

关键词： 1,1-Dichloroethene Supported amine catalyst Dehydrochlorination