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Assessing the effects of model parameter assumptions on surface-wave inversion results

Earthquake Science 2024年第6期37卷 529-545页

作者： xuezhen zhang Xiaodong Song SinoProbe Laboratory School of Earth and Space SciencesPeking UniversityBeijing 100871China Hebei Hongshan National Observatory on Thick Sediments and Seismic Hazards Beijing 100871China

Surface-wave inversion is a powerful tool for revealing the Earth's internal ***,aside from shear-wave velocity(v_(S)),other parameters can influence the inversion outcomes,yet these have not been systematically *** study investigates the influence of various parameter assumptions on the results of surface-wave inversion,including the compressional and shear velocity ratio(v_(P)/v_(S)),shear-wave attenuation(Q_(S)),density(ρ),Moho interface,and sedimentary *** constructed synthetic models to generate dispersion data and compared the obtained results with different parameter assumptions with those of the true *** results indicate that the v_(P)/v_(S) ratio,Q_(S),and density(ρ) have minimal effects on absolute velocity values and perturbation patterns in the ***,assumptions about the Moho interface and sedimentary layer significantly influenced absolute velocity values and perturbation *** an erroneous Mohointerface depth in the initial model of the inversion significantly affected the v_(S) model near that depth,while using a smooth initial model results in relatively minor *** assumption on the sedimentary layer not only affects shallow structure results but also impacts the result at greater ***-linear inversion methods outperform linear inversion methods,particularly for the assumptions of the Moho interface and sedimentary *** inversion with other data types,such as receiver functions or Rayleigh wave ellipticity,and using data from a broader period range or higher-mode surface waves,can mitigate these ***,incorporating more accurate prior information can improve inversion results.

关键词： shear-wave velocity model surface-wave inversion Moho interface sedimentary layer non-linear inversion

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Remarkable enhancement of gas selectivity on organosilica hybrid membranes using urea-modulated metal-organic framework nanoparticles

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Frontiers of Chemical Science and Engineering 2024年第2期18卷 83-92页

作者： Yayun zhao Dechuan zhao Chunlong Kong Yichao Lin xuezhen Wang Liang Chen Key Laboratory of Advanced Fuel Cells and Electrolyzers Technology of zhejiang Province Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo 315201China University of Chinese Academy of Sciences Beijing 100049China Collaboration Innovation Center for Tissue Repair Material Engineering Technology China West Normal UniversityNanchong 637009China

Metal-organic framework/organosilica hybrid membranes on tubular ceramic substrates have shown great potential for the implementation of membrane technology in practical gas separation projects due to their higher permeance compared to commercial ***,the selectivities of the reported membranes are ***,we have incorporated urea-modulated metal-organic frameworks into organosilica membranes to greatly enhance its separation *** urea-modulated metal-organic frameworks exhibit less-defined edges of crystallographic facets and high defect *** can be well-dispersed in the organosilica layer,which substantially suppresses the interfacial defects between metal-organic frameworks and organosilica,which is beneficial for improving the selectivity of membranes for gas *** results have shown that the enhanced ideal selectivity of H_(2)/CH_(4) was 165 and that of CO_(2)/CH_(4) was 43,with H_(2) permeance of about 1.25×10^(−6) mol·m^(−2)·s^(−1)·Pa^(−1) and CO_(2) permeance of 3.27×10^(−7) mol·m^(−2)·s^(−1)·Pa^(−1) at 0.2 MPa and 25℃.In conclusion,the high level of hybrid membranes can be used to separate H_(2)(or CO_(2))from the binary gas mixture H_(2)/CH_(4)(or CO_(2)/CH_(4)),which is important for gas separation in practical ***,the simple and feasible modulation of metal-organic framework is a promising strategy to tune different metal-organic frameworks for membranes according to the actual demands.

关键词： zIF-8 nanocrystals urea organosilica hybrid membrane enhanced separation performance

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Mechanistic insights into the synergetic remediation and amendment effects of zeolite/biochar composite on heavy metal-polluted red soil

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Frontiers of Environmental Science & Engineering 2024年第9期18卷 105-114页

作者： Jing Li Dazhong Yang Wensong zou xuezhen Feng Ranhao Wang Renji zheng Siyuan Luo zheting Chu Hong Chen State Environmental Protection Key Laboratory of Integrated Surface Water-groundwater Pollution Control Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution ControlSchool of Environmental Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China

Red soil,the most critical soil resource in tropical/subtropical regions worldwide,faces tremendous threats,including nutrient deficiency,acidification,and heavy metal *** is a great demand for multifunctional eco-materials capable of modifying this ***,we used widely distributed soil and biomass to develop a zeolite/biochar composite for synergistic red soil remediation and *** the composite material,the Pb2+and Cd2+remediation efficiencies reached 92.8%and 92.9%,respectively,in stems under optimal ***,the acidity and nutrient deficiency conditions of red soil significantly *** atomic-scale interaction mechanism during the remediation and amendment process was elucidated with complementary characterization methods,which revealed that in the zeolite/biochar composite material,zeolite contributes to longterm heavy metal remediation ***,biochar is responsible for soil quality amendment and short-term heavy metal ***,for the first time,single-atom heavy metal ions were observed on biochar during the remediation process,indicating the broad distribution of single atoms in the natural environment.

关键词： Red soil Heavy metal pollution zeolite/biochar composite Soil remediation Soil amendment

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PUNet: A Semi-Supervised Anomaly Detection Model for Network Anomaly Detection Based on Positive Unlabeled Data

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Computers, Materials and Continua 2024年第1期81卷 327-343页

作者： Long g. zhang z. Faculty of Computing Harbin Institute of Technology Harbin 150000 China

Network anomaly detection plays a vital role in safeguarding network security. However, the existing network anomaly detection task is typically based on the one-class zero-positive scenario. This approach is susceptible to overfitting during the training process due to discrepancies in data distribution between the training set and the test set. This phenomenon is known as prediction drift. Additionally, the rarity of anomaly data, often masked by normal data, further complicates network anomaly detection. To address these challenges, we propose the PUNet network, which ingeniously combines the strengths of traditional machine learning and deep learning techniques for anomaly detection. Specifically, PUNet employs a reconstruction-based autoencoder to pre-train normal data, enabling the network to capture potential features and correlations within the data. Subsequently, PUNet integrates a sampling algorithm to construct a pseudo-label candidate set among the outliers based on the reconstruction loss of the samples. This approach effectively mitigates the prediction drift problem by incorporating abnormal samples. Furthermore, PUNet utilizes the CatBoost classifier for anomaly detection to tackle potential data imbalance issues within the candidate set. Extensive experimental evaluations demonstrate that PUNet effectively resolves the prediction drift and data imbalance problems, significantly outperforming competing methods. © 2024 The Authors. Published by Tech Science Press.

关键词： candidate set CatBoost Network anomaly detection representation learning

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Crustal and uppermost mantle structure of the northeastern Qinghai-Xizang Plateau from joint inversion of surface wave dispersions and receiver functions with P velocity constraints

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Earthquake Science 2024年第2期37卷 93-106页

作者： Pei zhang Xiaodong Song Jiangtao Li Xingchen Wang xuezhen zhang Institute of geophysics China Earthquake AdministrationBeijing 100081China The Second Monitoring and Application Center China Earthquake AdministrationXi'an 710054China Institute of Theoretical and Applied geophysics School of Earth and Space SciencesPeking UniversityBeijing 100871China Department of geophysics School of Geodesy and GeomaticsWuhan UniversityWuhan 430079China

Lithospheric structure beneath the northeastern Qinghai-Xizang Plateau is of vital significance for studying the geodynamic processes of crustal thickening and expansion of the Qinghai-Xizang Plateau. We conducted a joint inversion of receiver functions and surface wave dispersions with P-wave velocity constraints using data from the Chin Array Ⅱ temporary stations deployed across the Qinghai-Xizang Plateau. Prior to joint inversion, we applied the H-κ-c method(Li JT et al., 2019) to the receiver function data in order to correct for the back-azimuthal variations in the arrival times of Ps phases and crustal multiples caused by crustal anisotropy and dipping interfaces. High-resolution images of vS, crustal thickness, and vP/vSstructures in the Qinghai-Xizang Plateau were simultaneously derived from the joint inversion. The seismic images reveal that crustal thickness decreases outward from the Qinghai-Xizang Plateau. The stable interiors of the Ordos and Alxa blocks exhibited higher velocities and lower crustal vP/vSratios. While, lower velocities and higher vP/vSratios were observed beneath the Qilian Orogen and Songpan-ganzi terrane(SPgz), which are geologically active and mechanically weak, especially in the mid-lower *** or thermal erosion of the lithosphere triggered by hot asthenospheric flow contributes to the observed uppermost mantle low-velocity zones(LVzs) in the SPgz. The crustal thickness, vS, and vP/vSratios suggest that whole lithospheric shortening is a plausible mechanism for crustal thickening in the Qinghai-Xizang Plateau, supporting the idea of coupled lithospheric-scale deformation in this region.

关键词： joint inversion receiver functions surface waves crustal thickness vP/vS ratio NE Qinghai-Xizang Plateau

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A new deformable cable for rock support in high stress tunnel:Steel pipe shrinkable energy-absorbing cable

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International Journal of Mining Science and Technology 2024年第8期34卷 1083-1093页

作者： xuezhen Wu Mingzhu zhao Qing Ye Yujing Jiang Tao Deng Hanfang zheng gang Wang zhenchang guan College of Civil Engineering Fuzhou UniversityFuzhou 350108China School of Engineering Nagasaki UniversityNagasaki 852-8521Japan Key Laboratory of Underground Engineering Fujian University of TechnologyFuzhou 350118China

High stress in surrounding rock will lead to serious problems,e.g.,rock burst in hard rock and large deformation in soft *** applied support system under high in-situ stress conditions should be able to carry high load and also accommodate large deformation without experiencing severe *** this paper,a specially designed energy-absorbing component for rock bolt and cable that can solve the above problems was *** energy-absorbing component can provide support resistance by plastic deformation of the metal including constraint annulus and compression *** practical engineering,two forms were *** was installed in the surrounding rock by reaming,and the other was installed directly outside the surrounding *** the dilation of the surrounding rock,the relative displacement of constraint annulus and compression pipe occurs,resulting in deformation *** resistance is transmitted to the rock bolt or cable,providing support *** lab test and numerical simulation showed that the energy-absorbing component can perfectly achieve the large deformation effect,the deformation amount is as high as 694 mm,and the bearing capacity is stable at 367 *** field application tests were carried out in the mining roadway of Xinjulong coal mine,and the results showed that the new type of cable can ensure itself not to break under the condition of large deformation of the surrounding *** energy-absorbing component has the superiorities of performing large constant resistance and controllable deformation to effectively control the unpredictable disasters such as large deformation in soft rock and rock burst in hard rock encountered in deep strata.

关键词： Energy-absorbing cable Numerical simulation Lab test Load capacity Ultimate displacement

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Esophageal inserted subclavian catheter:a rare complication

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World Journal of Emergency Medicine 2024年第3期15卷 243-245页

作者： DilberÜçöz Kocaşaban Sertaçgüler Emergency Medicine Clinic Health Sciences University Ankara Training and Research HospitalAnkara 06930Turkey

Central venous catheterization(CVC) is an invasive procedure for administering fluids,nutrients,and drugs;monitoring central venous pressure;performing pulmonary artery catheterization;and placing transvenous pacemakers in intensive care units and all specialties,from anesthesia to emergency medicine,for the treatment of trauma and hemodynamically unstable pediatric and adult patients.[1,2]Complications have been observed in more than 15% of patients who underwent ***,infectious,and thrombotic complications have been reported in 5%–19%,5%–26%,and 2%–26% of patients,respectively.[3] Malposition,on the other hand,is common in subclavian catheter insertion and is usually associated with an initially misplaced guidewire.[4]

关键词： unstable insertion initially

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A multi-sensor appiproach to calving detection

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Information Processing in Agriculture 2024年第1期11卷 45-64页

作者： Anita z.Chang David L.Swain Mark g.Trotter Institute for Future Farming Systems School of HealthMedicaland Applied SciencesCentral Queensland UniversityRockhamptonQueensland 4700Australia

The advent of remote livestock monitoring systems provides numerous possibilities for improving on-farm productivity,efficiency,and *** potential application for these systems is for the detection of calving *** study describes the integration of data from multiple sensor sources,including accelerometers,global navigation satellite systems(gNsS),an accelerometer-derived rumination algorithm,a walk-over-weigh unit,and a weather station for parturition detection using a support vector machine *** best performing model utilised data from gNsS,the ruminating algorithm,and weather stations to achieve 98.6%accuracy,with 88.5%sensitivity and 100%*** topranking features of this model were primarily gNSS *** study provides an overview as to how various sensor systems could be integrated on-farm to maximise calving detection for improved production and welfare outcomes.

关键词： Accelerometer gNSS gPS Rumination Sensor WOW

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论数字经济包容性治理的法律激励

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现代法学 2024年第1期46卷 92-106页

作者：苟学珍西安交通大学法学院西安710049

数字经济发展的全方位和多要素性,运行的平台性、虚拟性、跨界性和高渗透性,风险的系统性和关联性,以及数字技术驱动的权力、资源扁平化和多中心化表明,亟须构建多元参与、有效互动、资源共享、权利保障、收益共享的包容性治理格局。作... 详细信息

数字经济发展的全方位和多要素性,运行的平台性、虚拟性、跨界性和高渗透性,风险的系统性和关联性,以及数字技术驱动的权力、资源扁平化和多中心化表明,亟须构建多元参与、有效互动、资源共享、权利保障、收益共享的包容性治理格局。作为由行动者、资源和行动策略等要素组成的系统性治理架构,数字经济包容性治理在“行动者—资源”框架下面临多元行动者利益复杂交错、治理资源分散占有、行动策略碎片化等困境。可通过科学的法律激励,借助激励相容的法律制度,使各主体追求自身利益的行动策略与政府实现数字经济治理的公共利益目标相耦合,达至多元利益均衡,解决资源与行动者的难题,形成包容性治理的理想状态。为确保激励方案转化为实际治理优势,除了权力(利)、义务和责任的科学配置外,还应当从成本收益的依法合理分担、治理行为互信协同的法治促成等方面,对激励相容的法律制度进行优化。

关键词：数字经济包容性治理法律激励激励相容

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Prediction of the undrained shear strength of remolded soil with non-linear regression,fuzzy logic,and artificial neural network

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Journal of Mountain Science 2024年第9期21卷 3108-3122页

作者： YÜNKÜL Kaan KARAÇOR Fatih gÜRBÜz Ayhan BUDAK TahsinÖmür Department of Civil Engineering Faculty of Engineering and ArchitectureTokat Gaziosmanpaşa UniversityTokat 60100Türkiye Department of Civil Engineering Faculty of Engineering and ArchitectureKafkas UniversityKars 36000Türkiye Department of Civil Engineering Faculty of EngineeringGazi UniversityAnkara 06570Türkiye Ministry of Youth and Sports Ankara 06090Türkiye

This study aims to predict the undrained shear strength of remolded soil samples using non-linear regression analyses,fuzzy logic,and artificial neural network modeling.A total of 1306 undrained shear strength results from 230 different remolded soil test settings reported in 21 publications were collected,utilizing six different measurement *** water content,plastic limit,and liquid limit were used as input parameters for fuzzy logic and artificial neural network modeling,liquidity index or water content ratio was considered as an input parameter for non-linear regression *** non-linear regression analyses,12 different regression equations were derived for the prediction of undrained shear strength of remolded ***-Forward backpropagation and the TANSIg transfer function were used for artificial neural network modeling,while the Mamdani inference system was preferred with trapezoidal and triangular membership functions for fuzzy logic *** experimental results of 914 tests were used for training of the artificial neural network models,196 for validation and 196 for *** was observed that the accuracy of the artificial neural network and fuzzy logic modeling was higher than that of the non-linear regression ***,a simple and reliable regression equation was proposed for assessments of undrained shear strength values with higher coefficients of determination.

关键词： Undrained shear strength Liquidity index Water content ratio Non-linear regression Artificial neural networks Fuzzy logic

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