Physica A: Statistical Mechanics and its Applications最新文献_第7页

Extreme events on multiplex networks with asymmetric interlayer coupling 具有非对称层间耦合的多路网络中的极端事件

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-15 Epub Date: 2026-02-02 DOI: 10.1016/j.physa.2026.131348

Jinghua Chen, Feng Zhu, Xiao Ding

{"title":"Extreme events on multiplex networks with asymmetric interlayer coupling","authors":"Jinghua Chen, Feng Zhu, Xiao Ding","doi":"10.1016/j.physa.2026.131348","DOIUrl":"10.1016/j.physa.2026.131348","url":null,"abstract":"<div><div>This study examines the transport dynamics and occurrence of extreme events within multiplex networks. We develop a multiplex network model characterized by asymmetric interlayer coupling, wherein the transition probabilities governing a walker’s movement between distinct layers are unequal. The corresponding master equation for the random walk process is formulated accordingly. Utilizing this framework, we derive a closed-form solution for the stationary node distribution under conditions of asymmetric interlayer coupling. Building upon this, we formulate analytical expressions for the probabilities of extreme events and the distribution of their magnitudes, employing the stationary distribution in conjunction with the binomial distribution. The concordance between analytical predictions and simulation outcomes reveals that the likelihood of extreme events escalates on layers exhibiting lower attractiveness, whereas it diminishes on layers with higher attractiveness. These results underscore the significant impact of asymmetric interlayer coupling on the distribution of extreme event risk across network layers. Furthermore, we introduce a control strategy specifically designed for multiplex networks with asymmetric interlayer coupling and assess its effectiveness using empirical data derived from real-world transportation systems. Collectively, these findings offer valuable insights for optimizing node capacity allocation and risk management in multilayer networks, thereby contributing to resilience-oriented design strategies aimed at enhancing the robustness of such systems against extreme events.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"686 ","pages":"Article 131348"},"PeriodicalIF":3.1,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Probabilistic forecasting of high-frequency realized cryptocurrency volatility via CEEMDAN-integrated autoregressive recurrent neural network 基于ceemdan自回归递归神经网络的高频实现加密货币波动概率预测

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-15 Epub Date: 2026-02-04 DOI: 10.1016/j.physa.2026.131364

Yosep Na, Jun Young Byun, Jungyoon Song, Jae Wook Song

{"title":"Probabilistic forecasting of high-frequency realized cryptocurrency volatility via CEEMDAN-integrated autoregressive recurrent neural network","authors":"Yosep Na, Jun Young Byun, Jungyoon Song, Jae Wook Song","doi":"10.1016/j.physa.2026.131364","DOIUrl":"10.1016/j.physa.2026.131364","url":null,"abstract":"<div><div>This study introduces CEEMDAN–DeepAR, a deep learning framework for probabilistic forecasting of high-frequency realized volatility in cryptocurrency markets. The model integrates complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and an autoregressive recurrent neural network (DeepAR) to capture the complex, nonlinear, and volatile dynamics of cryptocurrency. Unlike conventional approaches limited to point forecasts, the proposed framework produces calibrated predictive distributions that quantify both central tendencies and tail risks, which are essential for risk management. A rolling-window CEEMDAN decomposition is employed to extract intrinsic mode functions as covariates, eliminating data leakage and enabling real-time applicability. Extensive experiments on six major cryptocurrencies across different market regimes demonstrate that CEEMDAN–DeepAR consistently outperforms statistical baselines and deep learning alternatives. Importantly, the integration of CEEMDAN enhances performance across all deep learning architectures, yielding more accurate point forecasts and tighter, better-calibrated prediction intervals. The model remains robust under volatility shifts and extreme market conditions, avoiding excessive widening of uncertainty bands. In addition, a utility-based economic value analysis confirms that forecast improvements translate into superior portfolio outcomes, showing the practical value of distributional forecasting. Overall, the results highlight CEEMDAN-based integration as a powerful enhancement to deep learning models, with CEEMDAN–DeepAR in particular emerging as a highly effective, scalable, and reliable solution for high-frequency volatility forecasting in cryptocurrency markets.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"686 ","pages":"Article 131364"},"PeriodicalIF":3.1,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on carbon emission analysis considering heterogeneous traffic flow with HDV driving style 考虑HDV驾驶方式的异构交通流碳排放分析研究

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-15 Epub Date: 2026-01-31 DOI: 10.1016/j.physa.2026.131329

Wenhui Zhang, Cong Xi, Meiru Ye, Ziwen Song

{"title":"Research on carbon emission analysis considering heterogeneous traffic flow with HDV driving style","authors":"Wenhui Zhang, Cong Xi, Meiru Ye, Ziwen Song","doi":"10.1016/j.physa.2026.131329","DOIUrl":"10.1016/j.physa.2026.131329","url":null,"abstract":"<div><div>Traditional models struggle to accurately capture the interaction between platoon dynamic evolution and heterogeneous Human-driven Vehicle (HDV) behaviors in mixed traffic flows. This study proposes a hybrid traffic flow modeling framework integrating discrete motion rules and dynamic platoon evolution. First, a discrete motion safety distance model is developed to resolve the inconsistency between continuous acceleration modeling and discrete cellular space by introducing integer decision rules based on cellular spacing. Second, a platoon size transition probability matrix is constructed using Markov chains to dynamically characterize the splitting, merging, and reorganization processes of platoons. Finally, multi-scenario simulation data are employed to quantify the impact mechanisms of intra-platoon spacing, reaction time, driving style, lane-changing behavior, and platoon size on CO₂ emissions. Key findings include: (1) When the Connected Automated Vehicle (CAV) penetration rate exceeds 0.6, platoon mode significantly improves traffic flow efficiency and reduces CO₂ emissions by 18.2 %–25.1 % compared to discrete mode.; (2) Optimizing intra-platoon spacing achieves a peak emission reduction of 42.5 %; (3) Lane-changing strategies must adapt to traffic density—enhancing HDV lane-changing probability under low density yields measurable reductions, while restricting CAV lane-changing probability to 0.4–0.6 under high density achieves reductions of 1.3 %–1.7 %; (4) Platoon sizes of 3–5 vehicles demonstrate optimal emission reduction efficiency. This study reveals the mechanism of queue dynamic parameters on carbon emissions, and provides theoretical support for the optimization of fleet cooperative control strategies and the design of low-carbon transportation systems.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"686 ","pages":"Article 131329"},"PeriodicalIF":3.1,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nonlinear study for a mixed traffic system with delayed compensation and control scheme resist to communication interruption of CAVs 具有延迟补偿和控制方案的混合交通系统抗自动驾驶汽车通信中断的非线性研究

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-15 Epub Date: 2026-02-04 DOI: 10.1016/j.physa.2026.131357

Geng Zhang, Yue-Yue Yan, Ting-Lin Li

{"title":"Nonlinear study for a mixed traffic system with delayed compensation and control scheme resist to communication interruption of CAVs","authors":"Geng Zhang, Yue-Yue Yan, Ting-Lin Li","doi":"10.1016/j.physa.2026.131357","DOIUrl":"10.1016/j.physa.2026.131357","url":null,"abstract":"<div><div>Mixed traffic with human-driven vehicles (HDVs) and connected autonomous vehicles (CAVs) is a transitional stage and future trend before fully autonomous driving. In response to the difference of the information exchange mechanism and dynamic behavior of HDVs and CAVs in mixed traffic, this paper constructed a new mixed traffic model which adopts a delayed compensation and control strategy under communication interruption of CAVs. Firstly, linear stability analysis is conducted for the proposed model, and a linear stability condition is derived and the neutral stability curves are displayed in the headway-sensitivity phase space to depict the varying trend of stability of the proposed model. In addition, the propagation behavior of mixed traffic in unstable region is explored through nonlinear analysis. The unstable traffic wave can be described by the kink-antikink solution of the mKdV equation. Finally, numerical experiments are conducted to verify the theoretical analysis results and vividly illustrate the influence of CAVs penetration, communication interruption, the delayed compensation and control strategy on the mixed traffic system. The results show that the delayed compensation and control strategy can significantly improve the unstable level of the mixed traffic system resulted from communication interruption.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"686 ","pages":"Article 131357"},"PeriodicalIF":3.1,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A quantum-inspired post-processing method using collaborative mapping operators for random numbers and its application in image encryption 基于协同映射算子的随机数量子后处理方法及其在图像加密中的应用

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-15 Epub Date: 2026-02-02 DOI: 10.1016/j.physa.2026.131345

Jinlong Li , Zheng Cai , Riming Sun , Changxian Li

{"title":"A quantum-inspired post-processing method using collaborative mapping operators for random numbers and its application in image encryption","authors":"Jinlong Li , Zheng Cai , Riming Sun , Changxian Li","doi":"10.1016/j.physa.2026.131345","DOIUrl":"10.1016/j.physa.2026.131345","url":null,"abstract":"<div><div>Random number generators play a crucial role in secure communication, cryptography, and stochastic computation. However, the raw random sequences obtained from physical or algorithmic sources often exhibit statistical bias or correlation, limiting their direct applicability in high secure applications. Drawing inspiration from the projective measurement of polarized photons in the BB84 protocol, this work develops a post-processing method using collaborative mapping operators to enhance the statistical quality of random sequences. The proposed method effectively suppresses the correlation and bias of random sequences through different operators. Experimental results show that the processed sequences achieve excellent statistical properties (NIST SP 800-22 randomness test, autocorrelation, linear complexity, etc.) while maintaining a high throughput of 80 Mbps. Comparative analysis with classical post-processing algorithms such as the Von Neumann method, Toeplitz hashing, and ZCA whitening method demonstrates that our method achieves superior performance in terms of statistical quality, computational efficiency, and implementation simplicity. The successful application of processed sequences in image encryption validates the robustness and practical utility of the proposed post-processing framework.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"686 ","pages":"Article 131345"},"PeriodicalIF":3.1,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on the macroscopic characteristics of heterogeneous traffic flow under the influence of autonomous vehicle takeover behavior 自主车辆接管行为影响下的异构交通流宏观特征研究

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-15 Epub Date: 2026-01-25 DOI: 10.1016/j.physa.2026.131325

Lili Yang, Shicheng Ma, Hongfei Jia, Tianze Ma, Zixuan Mao

{"title":"Research on the macroscopic characteristics of heterogeneous traffic flow under the influence of autonomous vehicle takeover behavior","authors":"Lili Yang, Shicheng Ma, Hongfei Jia, Tianze Ma, Zixuan Mao","doi":"10.1016/j.physa.2026.131325","DOIUrl":"10.1016/j.physa.2026.131325","url":null,"abstract":"<div><div>The study of macroscopic characteristics in heterogeneous traffic flows incorporating L3 automated vehicle(TOV) is of significant importance for advancing traffic flow theory, enhancing the robustness of cooperative control strategies for connected and automated vehicles, and supporting high precision traffic management. To address the research gap concerning takeover behavior in macroscopic fundamental diagram(MFD) studies, this paper develops an integrated methodology combining theoretical and experimental modeling. The theoretical framework incorporates the dual phase operation of TOV, heterogeneous car following modes, and cooperative adaptive cruise control(CACC) degradation mechanisms. For experimental framework, we implemented a two phase, multi cycle experimental framework through Sumo and Python cosimulation, where an enhanced underwood model was calibrated against experimental data to establish the experimental MFD. The validation demonstrated strong consistency between theoretical and experimental models. The analysis reveals that while increased penetration of TOV substantially improves road capacity (achieving up to 184.1 % enhancement in takeover free scenarios), takeover behavior significantly undermines this benefit (causing up to 62.3 % capacity reduction under high takeover rates). These findings provide valuable insights for developing effective traffic management strategies and designing resilient automated driving systems.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"686 ","pages":"Article 131325"},"PeriodicalIF":3.1,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Translation entropy: A statistical framework for evaluating translation systems 翻译熵：评估翻译系统的统计框架

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-15 Epub Date: 2026-01-22 DOI: 10.1016/j.physa.2026.131320

Ronit D. Gross , Yanir Harel , Ido Kanter

{"title":"Translation entropy: A statistical framework for evaluating translation systems","authors":"Ronit D. Gross , Yanir Harel , Ido Kanter","doi":"10.1016/j.physa.2026.131320","DOIUrl":"10.1016/j.physa.2026.131320","url":null,"abstract":"<div><div>The translation of written language has been known since the 3rd century BC; however, its necessity has become increasingly common in the information age. Today, many translators exist, based on encoder-decoder deep architectures, nevertheless, no quantitative objective methods are available to assess their performance, likely because the entropy of even a single language remains unknown. This study presents a quantitative method for estimating translation entropy, with the following key finding. Given a translator, several sentences that differ by only one selected token of a given pivot sentence yield identical translations. Analyzing the statistics of this phenomenon across an ensemble of such sentences, consisting each of a pivot selected token, yields the probabilities of replacing this specific token with others while preserving the translation. These probabilities constitute the entropy of the selected token, and the average across all selected pivot tokens provides an estimate of the translator’s overall translation entropy, which is decreased along the decoder blocks. This entropic measure allows for the quantitative ranking of several publicly available translators and reveals whether mutual translation entropy is symmetric. Extending the proposed method to include the replacement of two tokens in a given pivot sentence demonstrates a multiplicative effect, where translation degeneracy is proportional to the product of the degeneracies of the two tokens. These findings establish translation entropy as a measurable property and objective benchmarking of artificial translators. Results are based on MarianMT, T5-Base and NLLB-200 translators.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"686 ","pages":"Article 131320"},"PeriodicalIF":3.1,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Szilard engine for the q-deformed quantum harmonic oscillator with the level degeneracy 具有能级简并的q-变形量子谐振子的西拉德热机

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-15 Epub Date: 2026-02-02 DOI: 10.1016/j.physa.2026.131360

Ferhat Nutku , Hayrünisa Yalçın , Ekrem Aydiner

引用次数: 0

A continuous nonlinear optimization perspective on the Spin Glass Problem 自旋玻璃问题的连续非线性优化视角

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-15 Epub Date: 2026-02-05 DOI: 10.1016/j.physa.2026.131356

Phil Duxbury , Carlile Lavor , Luiz Leduino de Salles-Neto

{"title":"A continuous nonlinear optimization perspective on the Spin Glass Problem","authors":"Phil Duxbury , Carlile Lavor , Luiz Leduino de Salles-Neto","doi":"10.1016/j.physa.2026.131356","DOIUrl":"10.1016/j.physa.2026.131356","url":null,"abstract":"<div><div>We present a continuous nonlinear optimization model for the Spin Glass Problem (SGP), building on a classical result by Rosenberg (1972), which shows that for a class of multilinear polynomial problems the optimal values of the continuous relaxation and the corresponding discrete model coincide. Using the SGP as a case study, we provide a simple, problem-specific argument showing how any optimal solution returned by a continuous solver can be converted into an optimal discrete spin configuration, even when the solver outputs non-integer values. The relaxed model remains nonconvex and does not alter the inherent computational hardness of the problem, but it offers a direct and conceptually transparent continuous formulation that can be handled by modern global optimization software. Computational experiments on standard benchmark instances indicate that this approach can match, and in several cases surpass, recent integer programming linearization techniques, making it a practical and complementary tool for researchers working at the interface between statistical physics and combinatorial optimization.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"686 ","pages":"Article 131356"},"PeriodicalIF":3.1,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From pairs to groups: Recombining keywords via LLM-enhanced hyperlink prediction 从对到组：通过llm增强的超链接预测重组关键字

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-15 Epub Date: 2026-01-29 DOI: 10.1016/j.physa.2026.131339

Chaoguang Huo , Wenjia Zhang , Zhixiang Wu

{"title":"From pairs to groups: Recombining keywords via LLM-enhanced hyperlink prediction","authors":"Chaoguang Huo , Wenjia Zhang , Zhixiang Wu","doi":"10.1016/j.physa.2026.131339","DOIUrl":"10.1016/j.physa.2026.131339","url":null,"abstract":"<div><div>Knowledge recombination discovery is one important form of interdisciplinary and incremental innovation. Unlike previous research that focuses on discovering new link between two existing knowledge nodes—emphasizing partial knowledge pairs—we aim to predict new knowledge-unit groups, representing a higher-level, structural, and systematic knowledge discovery. Regarding author-defined keywords as the knowledge units (nodes), we propose a novel framework for knowledge recombination discovery through hyperlink prediction. Based on the keyword co-occurrence hypernetwork, our approach leverages the knowledge and capabilities of large language model (e.g., GPT-4o) to generate introductions and content features for keywords. Additionally, we apply two methods to initialize topological features of keywords separately and utilize Hyper-SAGNN to integrate these two types of features, thereby improving the performance of prediction model. As the results shown, OpenAI-3-small demonstrate superior performance compared to BERT in keyword content embedding. The enhanced content generated by larger language model (GPT-4o) significantly improves the Accuracy by 20.60 %, AUC by 10.03 %, and AUPR by 36.62 % compared to relying solely on network topological features. By integrating the keyword content and topological features, our approach achieves 96.42 % Accuracy, 94.58 % AUC and 81.56 % AUPR. Compared to baseline models such as HyperGCN integrating OpenAI-3-small content features, it improves Accuracy by 16.19 %, AUC by 30.31 % and AUPR by 18.11 %, providing an effective method for knowledge-unit group discovery. Notably, this is an innovative approach to knowledge discovery through knowledge recombination.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"686 ","pages":"Article 131339"},"PeriodicalIF":3.1,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0