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Efficiency of Thermoremanent Magnetization Acquisition in Vortex-State Particle Assemblies 涡旋态粒子组的热磁化获取效率
IF 4.6 1区 地球科学
Geophysical Research Letters Pub Date : 2025-04-23 DOI: 10.1029/2025GL114771
U. D. Bellon, W. Williams, A. R. Muxworthy, G. F. Souza-Junior, L. Nagy, L. Uieda, R. I. F. Trindade
{"title":"Efficiency of Thermoremanent Magnetization Acquisition in Vortex-State Particle Assemblies","authors":"U. D. Bellon,&nbsp;W. Williams,&nbsp;A. R. Muxworthy,&nbsp;G. F. Souza-Junior,&nbsp;L. Nagy,&nbsp;L. Uieda,&nbsp;R. I. F. Trindade","doi":"10.1029/2025GL114771","DOIUrl":"https://doi.org/10.1029/2025GL114771","url":null,"abstract":"<p>Magmatic rocks record ambient magnetic fields during cooling, preserving them for billions of years through thermoremanent magnetization (TRM). TRM accuracy depends on particle size, shape, magnetic properties, and the number of particles available to record the field. While traditionally interpreted via Neél's single-domain theory, most particles exist in a vortex state, where complex magnetic structures require numerical modeling. We show that in fields <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mo>&gt;</mo>\u0000 <mn>10</mn>\u0000 <mspace></mspace>\u0000 <mi>μ</mi>\u0000 <mi>T</mi>\u0000 </mrow>\u0000 <annotation> ${ &gt;} 10hspace*{.5em}{upmu }mathrm{T}$</annotation>\u0000 </semantics></math>, a few thousand nanoscopic vortex-state particles can record TRM with less than 1<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mo>°</mo>\u0000 </mrow>\u0000 <annotation> ${}^{circ}$</annotation>\u0000 </semantics></math> error, regardless of shape. For weaker fields, morphology plays a crucial role, with spherical and oblate particles performing best. These findings challenge assumptions about particle requirements for faithful TRM recording and highlight the influence of grain shape in paleomagnetic studies. Our results justify using smaller geological samples and magnetic microscopy to reconstruct ancient magnetic fields with precision.</p>","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"52 8","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025GL114771","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AI Merged With Human Knowledge Produces the Best Possible Weather Forecasts 人工智能与人类知识的结合产生了最好的天气预报
IF 4.6 1区 地球科学
Geophysical Research Letters Pub Date : 2025-04-23 DOI: 10.1029/2025GL116465
Stephen G. Penny
{"title":"AI Merged With Human Knowledge Produces the Best Possible Weather Forecasts","authors":"Stephen G. Penny","doi":"10.1029/2025GL116465","DOIUrl":"https://doi.org/10.1029/2025GL116465","url":null,"abstract":"<p>A new approach called cross-attractor transforms (Agarwal et al., 2025, https://doi.org/10.1029/2024gl110472) aims to improve weather forecasts by using neural networks to learn optimal maps between nature and imperfect numerical weather prediction (NWP) models. Unlike the latest generation of machine learning weather prediction (MLWP) models, this approach leverages prior knowledge via the known governing equations and learns only what is needed to map between that imperfect numerical model and the target system being forecasted (e.g., real-world weather). This approach draws from the same underlying principles of dynamical systems theory and chaos theory that have been the foundation of operational NWP for the last half century, and extend upon machine learning based post-processing efforts. The results show that an imperfect numerical model enhanced by the cross-attractor transforms have the potential to outperform both MLWP models and NWP models post-processed with ML, highlighting the value in merging prior knowledge with data-driven ML methods.</p>","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"52 8","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025GL116465","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Deep-Learning Based Parameter Inversion Framework for Large-Scale Groundwater Models 基于深度学习的大尺度地下水模型参数反演框架
IF 4.6 1区 地球科学
Geophysical Research Letters Pub Date : 2025-04-23 DOI: 10.1029/2024GL114285
Amanda Triplett, Andrew Bennett, Laura E. Condon, Peter Melchior, Reed M. Maxwell
{"title":"A Deep-Learning Based Parameter Inversion Framework for Large-Scale Groundwater Models","authors":"Amanda Triplett,&nbsp;Andrew Bennett,&nbsp;Laura E. Condon,&nbsp;Peter Melchior,&nbsp;Reed M. Maxwell","doi":"10.1029/2024GL114285","DOIUrl":"https://doi.org/10.1029/2024GL114285","url":null,"abstract":"<p>Hydrogeologic models generally require gridded subsurface properties, however these inputs are often difficult to obtain and highly uncertain. Parametrizing computationally expensive models where extensive calibration is computationally infeasible is a long standing challenge in hydrogeology. Here we present a machine learning framework to address this challenge. We train an inversion model to learn the relationship between water table depth and hydraulic conductivity using a small number of physical simulations. For a 31M grid cell model of the US we demonstrate that the inversion model can produce a reliable K field using only 30 simulations for training. Furthermore, we show that the inversion model captures physically realistic relationships between variables, even for relationships that were not directly trained on. While there are still limitations for out of sample parameters, the general framework presented here provides a promising approach for parametrizing expensive models.</p>","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"52 8","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024GL114285","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Proglacial Lake Drainage Events Drive Fast Grounding Line Advance in a Warming Climate 前冰期湖泊排水事件在气候变暖中推动接地线快速前进
IF 4.6 1区 地球科学
Geophysical Research Letters Pub Date : 2025-04-23 DOI: 10.1029/2025GL115184
Kai Hu, Marianne Haseloff
{"title":"Proglacial Lake Drainage Events Drive Fast Grounding Line Advance in a Warming Climate","authors":"Kai Hu,&nbsp;Marianne Haseloff","doi":"10.1029/2025GL115184","DOIUrl":"https://doi.org/10.1029/2025GL115184","url":null,"abstract":"<p>Proglacial lakes along the retreating margin of the Laurentide ice sheet (LIS) significantly influenced the ice sheet's dynamics. This study investigates the interaction between proglacial lake drainage events and ice sheet evolution during deglaciation. Using a flowline ice sheet model, we demonstrate that abrupt lake drainage caused by the opening of spillways during the retreat of the ice sheet can temporarily reverse ice retreat and trigger rapid grounding line advance despite ongoing climate warming. We also show that ice shelf regrounding on a retrograde lake bed can follow lake drainage and further amplify ice sheet advance. These processes can decouple ice dynamics from climate forcing, offering a non-climatic mechanism to explain the observed highly irregular ice margin fluctuations of the LIS. Our findings suggest that proglacial lakes might play an important role in modulating ice sheet evolution in warming climates.</p>","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"52 8","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025GL115184","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Large Megathrust Earthquakes Tend to Sustain an Increasingly Longer Duration Than Expected 大型逆冲地震的持续时间往往比预期的要长
IF 4.6 1区 地球科学
Geophysical Research Letters Pub Date : 2025-04-23 DOI: 10.1029/2024GL112985
Yumin Cui, Shaoyang Li, Ling Chen, Yosuke Aoki
{"title":"Large Megathrust Earthquakes Tend to Sustain an Increasingly Longer Duration Than Expected","authors":"Yumin Cui,&nbsp;Shaoyang Li,&nbsp;Ling Chen,&nbsp;Yosuke Aoki","doi":"10.1029/2024GL112985","DOIUrl":"https://doi.org/10.1029/2024GL112985","url":null,"abstract":"<p>The moment-duration (<i>M</i><sub><i>0</i></sub>-<i>T</i>) scaling law reveals fundamental earthquake physics across various sizes and tectonic settings. However, the validity of the cubic relation (<i>M</i><sub><i>0</i></sub> ∝ <i>T</i><sup><i>3</i></sup>) inferred for large (Mw ≥ 7) megathrust events has been recently questioned due to the scarcity of observations and similarities to slow earthquakes. Here, by compiling events over the past 500 years from global subduction zones, we double the number of earthquakes studied (&gt;260) compared to previous studies. A possible scale change is observed, at moment-magnitude and duration of ∼7.6 and ∼38.1 s, respectively. The new catalog reveals an accelerated decrease of the scaling exponent as a function of magnitude from 2.5 (Mw ≥ 7) to below 1 (Mw &gt; 8.7), indicating increasingly longer durations than expected for larger events. The rapid increase in duration with earthquake size is interpreted as the interplay of seismogenic bounds, trench-breaching, and subevents, which delays lateral rupture propagation. Our study aids in understanding slow and fast earthquakes.</p>","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"52 8","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024GL112985","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Unified Scaling Law for Lengths of Basaltic Lava Flows: Dependence on Erupted Volume and Effusion Rate 玄武岩熔岩流长度的统一标度规律：与喷发体积和流出速率的关系
IF 4.6 1区 地球科学
Geophysical Research Letters Pub Date : 2025-04-23 DOI: 10.1029/2024GL113426
Takafumi Maruishi, Tomofumi Kozono, Takahiro Miwa, Eisuke Fujita
{"title":"Unified Scaling Law for Lengths of Basaltic Lava Flows: Dependence on Erupted Volume and Effusion Rate","authors":"Takafumi Maruishi,&nbsp;Tomofumi Kozono,&nbsp;Takahiro Miwa,&nbsp;Eisuke Fujita","doi":"10.1029/2024GL113426","DOIUrl":"https://doi.org/10.1029/2024GL113426","url":null,"abstract":"<p>Morphological scaling laws for basaltic lava flows, linking flow dimensions and eruption conditions, are essential for hazard assessment and geological analysis of basaltic eruptions. However, the governing factors influencing flow dimensions remain unclear. We developed a scaling law for lava dimensions based on natural observations, with insights obtained from numerical simulations. We found that lava flow dynamics transition from a volume-limited regime to a cooling-limited regime as the effusion duration increases. In the volume-limited regime, flow length increases with erupted volume raised to the power of 0.67, while in the cooling-limited regime, it increases with effusion rate raised to the power of 0.60. We also found that Mauna Loa's flows follow the volume-limited regime, while Mt. Etna's flows can follow either the volume-limited or cooling-limited regime, reflecting their differing cooling timescales. Consequently, we established a unified scaling law that quantitatively links flow length to erupted volume and effusion rate.</p>","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"52 8","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024GL113426","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reliable Fault Modeling of an Mw 7.1 Earthquake in Hyuganada Sea on 8 August 2024 by Offshore Tsunami Data From New Seafloor Network N-net and Onshore GNSS Data 基于新海底网络N-net和陆上GNSS数据的2024年8月8日Hyuganada海7.1级地震的可靠断层模拟
IF 4.6 1区 地球科学
Geophysical Research Letters Pub Date : 2025-04-23 DOI: 10.1029/2025GL115391
Tatsuya Kubota, Hisahiko Kubo, Tatsuhiko Saito
{"title":"Reliable Fault Modeling of an Mw 7.1 Earthquake in Hyuganada Sea on 8 August 2024 by Offshore Tsunami Data From New Seafloor Network N-net and Onshore GNSS Data","authors":"Tatsuya Kubota,&nbsp;Hisahiko Kubo,&nbsp;Tatsuhiko Saito","doi":"10.1029/2025GL115391","DOIUrl":"https://doi.org/10.1029/2025GL115391","url":null,"abstract":"<p>We investigated tsunamis of an Mw 7.1 earthquake in the Hyuganada Sea in 2024, observed by a new dense and wide seafloor observation network, N-net, installed in the western Nankai Trough. A joint inversion of the offshore tsunami and onshore GNSS data revealed a maximum slip of 2.4 m with a significant slip near the centroid from the teleseismic analysis. The joint inversion provided reliable constraints for both up-dip and down-dip extents of the fault, while the inversions using either data set showed limitations in the fault constraint. Comparisons with past earthquakes indicate the 2024 earthquake ruptured part of the asperity of the 1961 earthquake but not those of the 1996 earthquakes. Our fault modeling jointly using offshore and onshore data suggests the interplate seismic coupling ratio in this region is &lt;0.4, which was much smaller than those in the anticipated megathrust earthquake source region in the Nankai Trough.</p>","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"52 8","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025GL115391","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Machine Learning Approach to Rapidly Downscale Sea Surface Temperature Extremes and Heat Stress on the Great Barrier Reef 一种机器学习方法快速降低大堡礁的海面极端温度和热应力
IF 4.6 1区 地球科学
Geophysical Research Letters Pub Date : 2025-04-23 DOI: 10.1029/2024GL114521
Ajitha Cyriac, Chaojiao Sun, John Taylor, Richard Matear, Scott A. Condie, P. Jyoteeshkumar Reddy, Tongliang Liu
{"title":"A Machine Learning Approach to Rapidly Downscale Sea Surface Temperature Extremes and Heat Stress on the Great Barrier Reef","authors":"Ajitha Cyriac,&nbsp;Chaojiao Sun,&nbsp;John Taylor,&nbsp;Richard Matear,&nbsp;Scott A. Condie,&nbsp;P. Jyoteeshkumar Reddy,&nbsp;Tongliang Liu","doi":"10.1029/2024GL114521","DOIUrl":"https://doi.org/10.1029/2024GL114521","url":null,"abstract":"<p>Reef-scale climate projections, such as those generated by CMIP6, are critical for guiding the development of effective intervention strategies for mass coral bleaching events. We developed a machine learning (ML) model based on a super resolution deconvolutional neural network to rapidly downscale sea surface temperature (SST) on the Great Barrier Reef (GBR). When downscaling 80 km data to 10 km resolution, the ML model outperforms conventional interpolation methods by capturing the spatial variability of SST and extreme thermal events. We applied this model to independent datasets from both present-day and future climates, demonstrating its robustness. Additionally, we demonstrated the ML model's capability to reconstruct the spatial variability of degree heating weeks for coral bleaching risk analysis. With its ease of implementation and low computational cost, this ML model could be readily used or easily trained to rapidly downscale climate model outputs for coral reefs around the world.</p>","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"52 8","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024GL114521","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sporadic-E Layer Responses to Super Geomagnetic Storm 10–12 May 2024 2024年5月10-12日超级地磁风暴对散点e层的响应
IF 4.6 1区 地球科学
Geophysical Research Letters Pub Date : 2025-04-23 DOI: 10.1029/2025GL115154
Lihui Qiu, Huixin Liu
{"title":"Sporadic-E Layer Responses to Super Geomagnetic Storm 10–12 May 2024","authors":"Lihui Qiu,&nbsp;Huixin Liu","doi":"10.1029/2025GL115154","DOIUrl":"https://doi.org/10.1029/2025GL115154","url":null,"abstract":"<p>Sporadic E (Es) layer plays a prominent role in revealing both upward and downward atmosphere-ionosphere coupling process. This study investigates the responses of Es layers to the May 2024 super geomagnetic storm by using 37 ground-based ionosondes distributed globally and space-based COSMIC-2 radio occultation observations. The results show that Es layers were significantly enhanced during the recovery phase of geomagnetic storm. In addition, the enhanced Es layers mainly occurred over Southeast Asia, Australia, the South Pacific and the East Pacific. The temporal evolution of foEs disturbances over the Asian-Australian sector clearly shows the “wave propagation” characteristics from high to low latitudes, indicating that the enhancements of the Es layers are most likely caused by the disturbed neutral winds in the E region. This study presents observational evidence for the downward impacts of the geomagnetic storm on the E-region ionosphere.</p>","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"52 8","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025GL115154","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Unraveling Arctic Sea Ice Response to Atmospheric Rivers—Insights From Sea Ice Modeling 解开北极海冰对大气河流的响应——来自海冰模型的见解
IF 4.6 1区 地球科学
Geophysical Research Letters Pub Date : 2025-04-23 DOI: 10.1029/2025GL115152
Pengfei Zhang, Patrick C. Taylor, Melinda Webster, David A. Bailey, Qinghua Ding, Laifang Li
{"title":"Unraveling Arctic Sea Ice Response to Atmospheric Rivers—Insights From Sea Ice Modeling","authors":"Pengfei Zhang,&nbsp;Patrick C. Taylor,&nbsp;Melinda Webster,&nbsp;David A. Bailey,&nbsp;Qinghua Ding,&nbsp;Laifang Li","doi":"10.1029/2025GL115152","DOIUrl":"https://doi.org/10.1029/2025GL115152","url":null,"abstract":"<p>Atmospheric rivers (ARs) in winter can induce significant melting of sea ice as they approach the ice cover. However, due to the complex physical properties of sea ice, the specific processes within the ice pack that are responsible for its response to ARs remain poorly understood. This study aims to shed light on this question using a stand-alone sea ice model forced by observed atmospheric boundary conditions. The findings reveal that the AR induced ice melt and hindered ice growth in the marginal seas are attributed to a combination of thermodynamic and dynamic processes. The AR-wind transports ice floes from the marginal seas back to the central Arctic dynamically, resulting in a thickening of the ice cover in that region. Among the thermodynamic processes, reduced congelation growth (54%–56%), enhanced basal melting (17%–26%), and inhibited snow-ice formation (11%–21%) play major roles in the sea ice loss in the marginal seas.</p>","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"52 8","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025GL115152","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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