arXiv - PHYS - Geophysics最新文献_第5页

Weakly nonlinear analysis of the onset of convection in rotating spherical shells 旋转球壳中开始对流的弱非线性分析

arXiv - PHYS - Geophysics Pub Date : 2024-08-28 DOI: arxiv-2408.15603

Calum S. Skene, Steven M. Tobias

{"title":"Weakly nonlinear analysis of the onset of convection in rotating spherical shells","authors":"Calum S. Skene, Steven M. Tobias","doi":"arxiv-2408.15603","DOIUrl":"https://doi.org/arxiv-2408.15603","url":null,"abstract":"A weakly nonlinear study is numerically conducted to determine the behaviour\u0000near the onset of convection in rotating spherical shells. The mathematical and\u0000numerical procedure is described in generality, with the results presented for\u0000an Earth-like radius ratio. Through the weakly nonlinear analysis a\u0000Stuart--Landau equation is obtained for the amplitude of the convective\u0000instability, valid in the vicinity of its onset. Using this amplitude equation\u0000we derive a reduced order model for the saturation of the instability via\u0000nonlinear effects and can completely describe the resultant limit cycle without\u0000the need to solve initial value problems. In particular the weakly nonlinear\u0000analysis is able to determine whether convection onsets as a supercritical or\u0000subcritical Hopf bifurcation through solving only linear 2D problems,\u0000specifically one eigenvalue and two linear boundary value problems. Using this,\u0000we efficiently determine that convection can onset subcritically in a spherical\u0000shell for a range of Prandtl numbers if the shell is heated internally,\u0000confirming previous predictions. Furthermore, by examining the weakly nonlinear\u0000coefficients we show that it is the strong zonal flow created through Reynolds\u0000and thermal stresses that determines whether convection is supercritical or\u0000subcritical.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142211636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On the elastoplastic behavior in collisional compression of spherical dust aggregates 论球形尘埃聚集体在碰撞压缩中的弹塑性行为

arXiv - PHYS - Geophysics Pub Date : 2024-08-28 DOI: arxiv-2408.15573

Sota Arakawa, Hidekazu Tanaka, Eiichiro Kokubo, Satoshi Okuzumi, Misako Tatsuuma, Daisuke Nishiura, Mikito Furuichi

引用次数: 0

Understanding the Adjoint Method in Seismology: Theory and Implementation in the Time Domain 了解地震学中的邻接法：时域理论与实施

arXiv - PHYS - Geophysics Pub Date : 2024-08-27 DOI: arxiv-2408.15060

Rafael Abreu

{"title":"Understanding the Adjoint Method in Seismology: Theory and Implementation in the Time Domain","authors":"Rafael Abreu","doi":"arxiv-2408.15060","DOIUrl":"https://doi.org/arxiv-2408.15060","url":null,"abstract":"The adjoint method is a popular method used for seismic (full-waveform)\u0000inversion today. The method is considered to give more realistic and detailed\u0000images of the interior of the Earth by the use of more realistic physics. It\u0000relies on the definition of an adjoint wavefield (hence its name) that is the\u0000time reversed synthetics that satisfy the original equations of motion. The\u0000physical justification of the nature of the adjoint wavefield is, however,\u0000commonly done by brute force with ad hoc assumptions and/or relying on the\u0000existence of Green's functions, the representation theorem and/or the Born\u0000approximation. Using variational principles only, and without these mentioned\u0000assumptions and/or additional mathematical tools, we show that the time\u0000reversed adjoint wavefield should be defined as a premise that leads to the\u0000correct adjoint equations. This allows us to clarify mathematical\u0000inconsistencies found in previous seminal works when dealing with visco-elastic\u0000attenuation and/or odd-order derivative terms in the equation of motion. We\u0000then discuss some methodologies for the numerical implementation of the method\u0000in the time domain and to present a variational formulation for the\u0000construction of different misfit functions. We here define a new misfit\u0000travel-time function that allows us to find consensus for the long-standing\u0000debate on the zero sensitivity along the ray path that cross-correlation\u0000travel-time measurements show. In fact, we prove that the zero sensitivity\u0000along the ray-path appears as a consequence of the assumption on the similarity\u0000between data and synthetics required to perform cross-correlation travel-time\u0000measurements. When no assumption between data and synthetics is preconceived,\u0000travel-time Frechet kernels show an extremum along the ray path as one\u0000intuitively would expect.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142211638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Characterizing Vehicle-Induced Distributed Acoustic Sensing Signals for Accurate Urban Near-Surface Imaging 表征车辆诱发的分布式声学传感信号，实现精确的城市近地成像

arXiv - PHYS - Geophysics Pub Date : 2024-08-26 DOI: arxiv-2408.14320

Jingxiao Liu, Haipeng Li, Siyuan Yuan, Hae Young Noh, Biondo Biondi

{"title":"Characterizing Vehicle-Induced Distributed Acoustic Sensing Signals for Accurate Urban Near-Surface Imaging","authors":"Jingxiao Liu, Haipeng Li, Siyuan Yuan, Hae Young Noh, Biondo Biondi","doi":"arxiv-2408.14320","DOIUrl":"https://doi.org/arxiv-2408.14320","url":null,"abstract":"Continuous seismic monitoring of the near-surface structure is crucial for\u0000urban infrastructure safety, aiding in the detection of sinkholes, subsidence,\u0000and other seismic hazards. Utilizing existing telecommunication optical fibers\u0000as Distributed Acoustic Sensing (DAS) systems offers a cost-effective method\u0000for creating dense seismic arrays in urban areas. DAS leverages roadside\u0000fiber-optic cables to record vehicle-induced surface waves for near-surface\u0000imaging. However, the influence of roadway vehicle characteristics on their\u0000induced surface waves and the resulting imaging of near-surface structures is\u0000poorly understood. We investigate surface waves generated by vehicles of\u0000varying weights and speeds to provide insights into accurate and efficient\u0000near-surface characterization. We first classify vehicles into light,\u0000mid-weight, and heavy based on the maximum amplitudes of quasi-static DAS\u0000records. Vehicles are also classified by their traveling speed using their\u0000arrival times at DAS channels. To investigate how vehicle characteristics\u0000influence the induced surface waves, we extract phase velocity dispersion and\u0000invert the subsurface structure for each vehicle class by retrieving virtual\u0000shot gathers (VSGs). Our results reveal that heavy vehicles produce higher\u0000signal-to-noise ratio surface waves, and a sevenfold increase in vehicle weight\u0000can reduce uncertainties in phase velocity measurements from dispersion spectra\u0000by up to 3X. Thus, data from heavy vehicles better constrain structures at\u0000greater depths. Additionally, with driving speeds ranging from 5 to 30 meters\u0000per second in our study, differences in the dispersion curves due to vehicle\u0000speed are less pronounced than those due to vehicle weight. Our results suggest\u0000judiciously selecting and processing surface wave signals from certain vehicle\u0000types can improve the quality of near-surface imaging in urban environments.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142211640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Jamming, Yielding, and Rheology during Submerged Granular Avalanche 水下颗粒崩落过程中的堵塞、屈服和流变

arXiv - PHYS - Geophysics Pub Date : 2024-08-25 DOI: arxiv-2408.13730

Zhuan Ge, Teng Man, Kimberly M. Hill, Yujie Wang, Sergio Andres Galindo-Torres

{"title":"Jamming, Yielding, and Rheology during Submerged Granular Avalanche","authors":"Zhuan Ge, Teng Man, Kimberly M. Hill, Yujie Wang, Sergio Andres Galindo-Torres","doi":"arxiv-2408.13730","DOIUrl":"https://doi.org/arxiv-2408.13730","url":null,"abstract":"Jamming transitions and the rheology of granular avalanches in fluids are\u0000investigated using experiments and numerical simulations. Simulations use the\u0000lattice-Boltzmann method coupled with the discrete element method, providing\u0000detailed stress and deformation data. Both simulations and experiments present\u0000a perfect match with each other in carefully conducted deposition experiments,\u0000validating the simulation method. We analyze transient rheological laws and\u0000jamming transitions using our recently introduced length-scale ratio $G$. $G$\u0000serves as a unified metric for the pressure and shear rate capturing the\u0000dynamics of sheared fluid-granular systems. Two key transition points, $G_{Y}$\u0000and $G_{0}$, categorize the material's state into solid-like, creeping, and\u0000fluid-like states. Yielding at $G_{Y}$ marks the transition from solid-like to\u0000creeping, while $G_{0}$ signifies the shift to the fluid-like state. The\u0000$mu-G$ relationship converges towards the equilibrium $mu_{eq}(G)$ after\u0000$G>G_0$ showing the critical point where the established rheological laws for\u0000steady states apply during transient conditions.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142211642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive Graded Denoising of Seismic Data Based on Noise Estimation and Local Similarity 基于噪声估计和局部相似性的自适应分级去噪地震数据

arXiv - PHYS - Geophysics Pub Date : 2024-08-24 DOI: arxiv-2408.13578

Xueting Yang, Yong Li, Zhangquan Liao, Yingtian Liu, Junheng Peng

{"title":"Adaptive Graded Denoising of Seismic Data Based on Noise Estimation and Local Similarity","authors":"Xueting Yang, Yong Li, Zhangquan Liao, Yingtian Liu, Junheng Peng","doi":"arxiv-2408.13578","DOIUrl":"https://doi.org/arxiv-2408.13578","url":null,"abstract":"Seismic data denoising is an important part of seismic data processing, which\u0000directly relate to the follow-up processing of seismic data. In terms of this\u0000issue, many authors proposed many methods based on rank reduction, sparse\u0000transformation, domain transformation, and deep learning. However, when the\u0000seismic data is noisy, complex and uneven, these methods often lead to\u0000over-denoising or under-denoising. To solve this problems, we proposed a novel\u0000method called noise level estimation and similarity segmentation for graded\u0000denoising. Specifically, we first assessed the average noise level of the\u0000entire seismic data and denoised it using block matching and three-dimensional\u0000filtering (BM3D) methods. Then, the denoised data is contrasted with the\u0000residual using local similarity, pinpointing regions where noise levels deviate\u0000significantly from the average. The remaining data is retained intact. These\u0000areas are then re-evaluated and denoised. Finally, we integrated the data\u0000retained after the first denoising with the re-denoising data to get a complete\u0000and cleaner data. This method is verified on theoretical model and actual\u0000seismic data. The experimental results show that this method has a good effect\u0000on seismic data with uneven noise.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142211641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of first- and second-order adjoint methods to glacial isostatic adjustment incorporating rotational feedbacks 将一阶和二阶邻接法应用于包含旋转反馈的冰川等静力调整

arXiv - PHYS - Geophysics Pub Date : 2024-08-24 DOI: arxiv-2408.13564

Ziheng Yu, David Al-Attar, Frank Syvret, Andrew J. Lloyd

{"title":"Application of first- and second-order adjoint methods to glacial isostatic adjustment incorporating rotational feedbacks","authors":"Ziheng Yu, David Al-Attar, Frank Syvret, Andrew J. Lloyd","doi":"arxiv-2408.13564","DOIUrl":"https://doi.org/arxiv-2408.13564","url":null,"abstract":"This paper revisits and extends the adjoint theory for glacial isostatic\u0000adjustment (GIA) of Crawford et al. (2018). Rotational feedbacks are now\u0000incorporated, and the application of the second-order adjoint method is\u0000described for the first time. The first-order adjoint method provides an\u0000efficient means for computing sensitivity kernels for a chosen objective\u0000functional, while the second-order adjoint method provides second-derivative\u0000information in the form of Hessian kernels. These latter kernels are required\u0000by efficient Newton-type optimisation schemes and within methods for\u0000quantifying uncertainty for non-linear inverse problems. Most importantly, the\u0000entire theory has been reformulated so as to simplify its implementation by\u0000others within the GIA community. In particular, the rate-formulation for the\u0000GIA forward problem introduced by Crawford et al. (2018) has been replaced with\u0000the conventional equations for modelling GIA in laterally heterogeneous earth\u0000models. The implementation of the first- and second-order adjoint problems\u0000should be relatively easy within both existing and new GIA codes, with only the\u0000inclusions of more general force terms being required.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142211650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Forecasting Strong Subsequent Earthquakes in Japan using an improved version of NESTORE Machine Learning Algorithm 使用改进版 NESTORE 机器学习算法预报日本强震后续地震

arXiv - PHYS - Geophysics Pub Date : 2024-08-23 DOI: arxiv-2408.12956

Stefania Gentili, Giuseppe Davide Chiappetta, Giuseppe Petrillo, Piero Brondi, Jiancang Zhuang

{"title":"Forecasting Strong Subsequent Earthquakes in Japan using an improved version of NESTORE Machine Learning Algorithm","authors":"Stefania Gentili, Giuseppe Davide Chiappetta, Giuseppe Petrillo, Piero Brondi, Jiancang Zhuang","doi":"arxiv-2408.12956","DOIUrl":"https://doi.org/arxiv-2408.12956","url":null,"abstract":"The advanced machine learning algorithm NESTORE (Next STrOng Related\u0000Earthquake) was developed to forecast strong aftershocks in earthquake\u0000sequences and has been successfully tested in Italy, western Slovenia, Greece,\u0000and California. NESTORE calculates the probability of aftershocks reaching or\u0000exceeding the magnitude of the main earthquake minus one and classifies\u0000clusters as type A or B based on a 0.5 probability threshold. In this study,\u0000NESTORE was applied to Japan using data from the Japan Meteorological Agency\u0000catalog (1973-2024). Due to Japan's high seismic activity and class imbalance,\u0000new algorithms were developed to complement NESTORE. The first is a hybrid\u0000cluster identification method using ETAS-based stochastic declustering and\u0000deterministic graph-based selection. The second, REPENESE (RElevant features,\u0000class imbalance PErcentage, NEighbour detection, SElection), is optimized for\u0000detecting outliers in skewed class distributions. A new seismicity feature was\u0000proposed, showing good results in forecasting cluster classes in Japan. Trained\u0000with data from 1973 to 2004 and tested from 2005 to 2023, the method correctly\u0000forecasted 75% of A clusters and 96% of B clusters, achieving a precision of\u00000.75 and an accuracy of 0.94 six hours after the mainshock. It accurately\u0000classified the 2011 T=ohoku event cluster. Near-real-time forecasting was\u0000applied to the sequence after the April 17, 2024 M6.6 earthquake in Shikoku,\u0000classifying it as a \"Type B cluster,\" with validation expected on October 31,\u00002024.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142211649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spectral properties of ablating meteorite samples for improved meteoroid composition diagnostics 用于改进流星体成分诊断的烧蚀陨石样本的光谱特性

arXiv - PHYS - Geophysics Pub Date : 2024-08-22 DOI: arxiv-2408.12276

Pavol Matlovič, Adriana Pisarčíková, Veronika Pazderová, Stefan Loehle, Juraj Tóth, Ludovic Ferrière, Peter Čermák, David Leiser, Jérémie Vaubaillon, Ranjith Ravichandran

{"title":"Spectral properties of ablating meteorite samples for improved meteoroid composition diagnostics","authors":"Pavol Matlovič, Adriana Pisarčíková, Veronika Pazderová, Stefan Loehle, Juraj Tóth, Ludovic Ferrière, Peter Čermák, David Leiser, Jérémie Vaubaillon, Ranjith Ravichandran","doi":"arxiv-2408.12276","DOIUrl":"https://doi.org/arxiv-2408.12276","url":null,"abstract":"Emission spectra and diagnostic spectral features of a diverse range of\u0000ablated meteorite samples with a known composition are presented. We aim to\u0000provide a reference spectral dataset to improve our abilities to classify\u0000meteoroid composition types from meteor spectra observations. The data were\u0000obtained by ablating meteorite samples in high-enthalpy plasma wind tunnel\u0000facilities recreating conditions characteristic of low-speed meteors. Near-UV\u0000to visible-range (320 - 800 nm) emission spectra of 22 diverse meteorites\u0000captured by a high-resolution Echelle spectrometer were analyzed to identify\u0000the characteristic spectral features of individual meteorite groups. The same\u0000dataset captured by a lower-resolution meteor spectrograph was applied to\u0000compare the meteorite data with meteor spectra observations. Spectral modeling\u0000revealed that the emitting meteorite plasma was characterized by temperatures\u0000of 3700 - 4800 K, similar to the main temperature component of meteors. The\u0000studied line intensity variations were found to trace the differences in the\u0000original meteorite composition and thus can be used to constrain the individual\u0000meteorite classes. We demonstrate that meteorite composition types, including\u0000ordinary chondrites, carbonaceous chondrites, various achondrites, stony-iron\u0000and iron meteorites, can be spectrally distinguished by measuring relative line\u0000intensities of Mg I, Fe I, Na I, Cr I, Mn I, Si I, H I, CN, Ni I, and Li I.\u0000Additionally, we confirm the effect of the incomplete evaporation of refractory\u0000elements Al, Ti, and Ca, and the presence of minor species Co I, Cu I, and V I.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142211652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis 跨域基础模型适应：用于地球物理数据分析的计算机视觉模型先驱

arXiv - PHYS - Geophysics Pub Date : 2024-08-22 DOI: arxiv-2408.12396

Zhixiang Guo, Xinming Wu, Luming Liang, Hanlin Sheng, Nuo Chen, Zhengfa Bi

{"title":"Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis","authors":"Zhixiang Guo, Xinming Wu, Luming Liang, Hanlin Sheng, Nuo Chen, Zhengfa Bi","doi":"arxiv-2408.12396","DOIUrl":"https://doi.org/arxiv-2408.12396","url":null,"abstract":"We explore adapting foundation models (FMs) from the computer vision domain\u0000to geoscience. FMs, large neural networks trained on massive datasets, excel in\u0000diverse tasks with remarkable adaptability and generality. However, geoscience\u0000faces challenges like lacking curated training datasets and high computational\u0000costs for developing specialized FMs. This study considers adapting FMs from\u0000computer vision to geoscience, analyzing their scale, adaptability, and\u0000generality for geoscientific data analysis. We introduce a workflow that\u0000leverages existing computer vision FMs, fine-tuning them for geoscientific\u0000tasks, reducing development costs while enhancing accuracy. Through\u0000experiments, we demonstrate this workflow's effectiveness in broad applications\u0000to process and interpret geoscientific data of lunar images, seismic data, DAS\u0000arrays and so on. Our findings introduce advanced ML techniques to geoscience,\u0000proving the feasibility and advantages of cross-domain FMs adaptation, driving\u0000further advancements in geoscientific data analysis and offering valuable\u0000insights for FMs applications in other scientific domains.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142211651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0