Pub Date : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931763
M. Zubair, D. Iacoviello, Yasir Islam
The treatment of brain tumor requires advanced strategies depending on the severity of tumors. For instance, in case of malignant tumors surgery is not advisable since these tumors are attached very closely with the sensitive tissues of brain, rather chemotherapy treatment is suggested. In this work, two nonlinear controllers have been designed to determine the amount of chemotherapy to remove the tumor cells and retain suitable quantity of healthy and immune cells: the adaptive super-twisting sliding mode and the adaptive terminal sliding mode controllers. System stability and convergence have been verified by the use of Lyapunov stability theory. The performance of the controllers has been verified by the use of MATLAB software on the basis of different control parameters. Adaptive terminal sliding mode controller appears more appealing for its convergence and the reduced chattering, allowing at the same time a reduced amount of drug.
{"title":"Adaptive super-twisting SMC and adaptive terminal SMC of brain tumor via chemotherapy","authors":"M. Zubair, D. Iacoviello, Yasir Islam","doi":"10.1109/ICSTCC55426.2022.9931763","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931763","url":null,"abstract":"The treatment of brain tumor requires advanced strategies depending on the severity of tumors. For instance, in case of malignant tumors surgery is not advisable since these tumors are attached very closely with the sensitive tissues of brain, rather chemotherapy treatment is suggested. In this work, two nonlinear controllers have been designed to determine the amount of chemotherapy to remove the tumor cells and retain suitable quantity of healthy and immune cells: the adaptive super-twisting sliding mode and the adaptive terminal sliding mode controllers. System stability and convergence have been verified by the use of Lyapunov stability theory. The performance of the controllers has been verified by the use of MATLAB software on the basis of different control parameters. Adaptive terminal sliding mode controller appears more appealing for its convergence and the reduced chattering, allowing at the same time a reduced amount of drug.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"48 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133995403","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}
Pub Date : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931870
I. Vasiliev, L. Luca, R. Vilanova, S. Caraman
This paper addresses a literature review on the sewer network modelling and control topic with the scope of identifying research gaps that, through future research, would lead to improved wastewater collecting and transport systems in terms of their impact on the environment. Recently research on sewer network modelling is focusing on data-driven models instead of mathematical ones, this technique being the more suitable one to be used in the future to also model one of the important environmental problems: emerging pollutants. The current sewer network control strategies are focusing on minimizing the overflow volume or the overflow loads, however, a balance between the two objectives must be found to reduce the overall effect. Another approach that should be considered in future research is to consider the processing capacity of the treatment facilities when developing sewer network control strategies, by implementing optimal control strategies for the integrated sewer network - wastewater treatment plant system.
{"title":"Sewer Network Modelling and Control – A Literature Review","authors":"I. Vasiliev, L. Luca, R. Vilanova, S. Caraman","doi":"10.1109/ICSTCC55426.2022.9931870","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931870","url":null,"abstract":"This paper addresses a literature review on the sewer network modelling and control topic with the scope of identifying research gaps that, through future research, would lead to improved wastewater collecting and transport systems in terms of their impact on the environment. Recently research on sewer network modelling is focusing on data-driven models instead of mathematical ones, this technique being the more suitable one to be used in the future to also model one of the important environmental problems: emerging pollutants. The current sewer network control strategies are focusing on minimizing the overflow volume or the overflow loads, however, a balance between the two objectives must be found to reduce the overall effect. Another approach that should be considered in future research is to consider the processing capacity of the treatment facilities when developing sewer network control strategies, by implementing optimal control strategies for the integrated sewer network - wastewater treatment plant system.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134261920","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}
Pub Date : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931840
P. D. Giamberardino, D. Iacoviello
In any epidemic spread there is a group of indi-viduals strongly involved in the diffusion of the infection but without any evidence of infectiousness, like during incubation periods. It is important to estimate this number, in order to adequately allocate resources to face the possible forthcoming epidemic emergency. This is the problem faced in this paper referring to the HIV-AIDS epidemic; this sanitary emergency is peculiar for the long incubation time: it can reach even 10 years, a long period in which the individual can unconsciously infect other subjects. The identification of the number of infected subjects is here obtained by using the extended Kalman filter applied to a noisy model in which only the number of infected diagnosed patients is available. Numerical simulations support the effectiveness of the approach.
{"title":"Kalman filtering approach for early estimation of the number of hidden HIV infected patients","authors":"P. D. Giamberardino, D. Iacoviello","doi":"10.1109/ICSTCC55426.2022.9931840","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931840","url":null,"abstract":"In any epidemic spread there is a group of indi-viduals strongly involved in the diffusion of the infection but without any evidence of infectiousness, like during incubation periods. It is important to estimate this number, in order to adequately allocate resources to face the possible forthcoming epidemic emergency. This is the problem faced in this paper referring to the HIV-AIDS epidemic; this sanitary emergency is peculiar for the long incubation time: it can reach even 10 years, a long period in which the individual can unconsciously infect other subjects. The identification of the number of infected subjects is here obtained by using the extended Kalman filter applied to a noisy model in which only the number of infected diagnosed patients is available. Numerical simulations support the effectiveness of the approach.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132734874","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}
Pub Date : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931781
Danielle Nyakam Nya, H. Abouaïssa
This paper addresses a preliminary study of perishable inventory management (PIM). The aim is the development of a robust and efficient control algorithm tacking into account the stock deterioration and its replenishment subject to a delay from a remote supply source and reacting significantly faster to the consumer's demand, which is considered as unknown disturbance. Here, instead of model-based control strategies, through a continuous, local identification of the level variations a model-free control that does not need any prior knowledge of the supply chain behaviors is proposed. The developed control policy permits to take into account both the transportation losses which could appear between the suppliers and the final customers and accounts for decay of goods stored in warehouse (perishing inventories) preventing from exceeding the facilities capacities.
{"title":"On the Dynamic and Robust Management of Multi-Product Perishables, Multi-Echelon Demand Networks","authors":"Danielle Nyakam Nya, H. Abouaïssa","doi":"10.1109/ICSTCC55426.2022.9931781","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931781","url":null,"abstract":"This paper addresses a preliminary study of perishable inventory management (PIM). The aim is the development of a robust and efficient control algorithm tacking into account the stock deterioration and its replenishment subject to a delay from a remote supply source and reacting significantly faster to the consumer's demand, which is considered as unknown disturbance. Here, instead of model-based control strategies, through a continuous, local identification of the level variations a model-free control that does not need any prior knowledge of the supply chain behaviors is proposed. The developed control policy permits to take into account both the transportation losses which could appear between the suppliers and the final customers and accounts for decay of goods stored in warehouse (perishing inventories) preventing from exceeding the facilities capacities.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130809918","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}
Pub Date : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931770
Camilo Garcia-Tenorio, A. Wouwer
The ordinary least squares (OLS) regression for linear system identification might give biased results when noise affects some explicative variables. As OLS is at the core of the extended dynamic mode decomposition algorithm, it is interesting to pay attention to alternative methods, such as maximum likelihood estimation (MLE), to deal with the identification problem. This study explores this direction, discusses the question of defining the probability distribution of the observable functions, and illustrates the performance of the algorithm with two case studies. The first one shows a successful application of MLE to a simple reaction network, while the second, more complex example based on the Duffing equation highlights the method limitation in relation with the empirical construction of the probability distribution of the observables.
{"title":"Maximum Likelihood pqEDMD Identification","authors":"Camilo Garcia-Tenorio, A. Wouwer","doi":"10.1109/ICSTCC55426.2022.9931770","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931770","url":null,"abstract":"The ordinary least squares (OLS) regression for linear system identification might give biased results when noise affects some explicative variables. As OLS is at the core of the extended dynamic mode decomposition algorithm, it is interesting to pay attention to alternative methods, such as maximum likelihood estimation (MLE), to deal with the identification problem. This study explores this direction, discusses the question of defining the probability distribution of the observable functions, and illustrates the performance of the algorithm with two case studies. The first one shows a successful application of MLE to a simple reaction network, while the second, more complex example based on the Duffing equation highlights the method limitation in relation with the empirical construction of the probability distribution of the observables.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115145469","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}
Pub Date : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931874
Daniel Henning, Georg Schildbach
This paper presents a new method of collision checking for non-holonomic dynamical systems in environments with narrow passages. This new method is compared with alternative approaches for collision checking, which are widely used in conjunction with different path planners. All methods are evaluated in a systematic simulation study with numerous scenarios, using two of the most popular path planning methods, Hybrid A* and RRT*. On the one hand, the results show that the new collision checking approach can manage the narrow passages better than the compared methods. On the other hand, its computation time can be longer or shorter, depending on the particular scenario.
本文提出了窄通道环境下非完整动力系统碰撞检测的一种新方法。该方法与其他碰撞检测方法进行了比较，这些方法通常与不同的路径规划器结合使用。采用两种最流行的路径规划方法Hybrid a *和RRT*，在系统仿真研究中对所有方法进行了评估。结果表明，该碰撞检测方法能较好地处理窄通道。另一方面，它的计算时间可能更长或更短，这取决于特定的场景。
{"title":"A Continuous Collision Checking Method for Non-holonomic Path Planning in Narrow Environments","authors":"Daniel Henning, Georg Schildbach","doi":"10.1109/ICSTCC55426.2022.9931874","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931874","url":null,"abstract":"This paper presents a new method of collision checking for non-holonomic dynamical systems in environments with narrow passages. This new method is compared with alternative approaches for collision checking, which are widely used in conjunction with different path planners. All methods are evaluated in a systematic simulation study with numerous scenarios, using two of the most popular path planning methods, Hybrid A* and RRT*. On the one hand, the results show that the new collision checking approach can manage the narrow passages better than the compared methods. On the other hand, its computation time can be longer or shorter, depending on the particular scenario.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127572285","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}
Pub Date : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931891
T. Senoo, A. Konno, Yunzhuo Wang, M. Hirano, N. Kishi, M. Ishikawa
In this study, we propose a robust method for automotive tracking using high-speed stereo vision. The tracking is achieved using a shared correlation filter for stereo images that can be captured at high speed using the features of high-framerate images. In addition, by adjusting the tracking window for each automobile, robust tracking can be performed even in the case of partial occlusion with respect to visually overlapping automobiles. Experiments on in-vehicle camera images were performed at a frame rate of 500 fps to validate the efficacy of the proposed approach.
{"title":"Automotive Tracking with High-speed Stereo Vision Based on a Spatiotemporal Shared Filter","authors":"T. Senoo, A. Konno, Yunzhuo Wang, M. Hirano, N. Kishi, M. Ishikawa","doi":"10.1109/ICSTCC55426.2022.9931891","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931891","url":null,"abstract":"In this study, we propose a robust method for automotive tracking using high-speed stereo vision. The tracking is achieved using a shared correlation filter for stereo images that can be captured at high speed using the features of high-framerate images. In addition, by adjusting the tracking window for each automobile, robust tracking can be performed even in the case of partial occlusion with respect to visually overlapping automobiles. Experiments on in-vehicle camera images were performed at a frame rate of 500 fps to validate the efficacy of the proposed approach.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127305523","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}
Pub Date : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931886
K. Röbenack, R. Herrmann
DC/DC converters are used to adapt different voltage levels between power sources and loads. The buck converter, also known as step-down converter, is a very common converter type. This converters allows the reduction of the input voltage. We suggest an alternative topology, where the reactive lumped elements of the buck converter are replaced by a transmission line. This results in a distributed converter model with new properties. We discuss the analysis, simulation and implementation of such a converter.
{"title":"Analysis, Simulation and Implementation of a Distributed Buck Converter","authors":"K. Röbenack, R. Herrmann","doi":"10.1109/ICSTCC55426.2022.9931886","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931886","url":null,"abstract":"DC/DC converters are used to adapt different voltage levels between power sources and loads. The buck converter, also known as step-down converter, is a very common converter type. This converters allows the reduction of the input voltage. We suggest an alternative topology, where the reactive lumped elements of the buck converter are replaced by a transmission line. This results in a distributed converter model with new properties. We discuss the analysis, simulation and implementation of such a converter.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125456780","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}
Pub Date : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931850
Alexander Rehmer, A. Kroll
The main contribution of this paper is a model structure for the identification of affine quasi linear parameter-varying (qLPV) models in state-space (SS) form. The special case where the state is unknown and part of the scheduling vector is considered. In this case the model is always recurrent in the states which demands for an internal dynamics approach, e.g. a Recurrent Neural Network (RNN). The proposed approach is based on a structured RNN developed by Lachhab et al. [1], but extends the original model via so-called gates, neural network structures which are responsible for the recent success of RNNs on various areas of application in Machine Learning, such as the Long short-term memory (LSTM) network and the Gated Recurrent Unit (GRU). The use of gates has multiple advantages: The complexity of the models scheduling map and hence its approximation capabilities are increased, while preserving its affine quasi-LPV structure and the applicability of the results on global asymptotic stability (GAS) by Lachhab et al. [1] at the same time. The performance of the proposed approach is demonstrated by comparison with two other RNN-based approaches on two nonlinear system identification benchmark problems.
本文的主要贡献是为状态空间形式的仿射准线性变参(qLPV)模型的辨识提供了一个模型结构。考虑了状态未知且部分调度向量的特殊情况。在这种情况下，模型总是在需要内部动力学方法的状态下循环，例如递归神经网络(RNN)。所提出的方法基于Lachhab等人开发的结构化RNN，但通过所谓的门(gates)神经网络结构扩展了原始模型，这种神经网络结构最近在机器学习的各个应用领域取得了成功，例如长短期记忆(LSTM)网络和门控制循环单元(GRU)。门的使用具有多重优点:一方面增加了模型调度映射的复杂性，从而提高了模型的逼近能力，同时又保持了模型的仿射拟lpv结构和Lachhab et al.[1]的结果在全局渐近稳定性(GAS)上的适用性。通过与另外两种基于rnn的方法在两个非线性系统识别基准问题上的比较，证明了该方法的性能。
{"title":"On affine quasi-LPV System Identification with unknown state-scheduling using (deep) Recurrent Neural Networks*","authors":"Alexander Rehmer, A. Kroll","doi":"10.1109/ICSTCC55426.2022.9931850","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931850","url":null,"abstract":"The main contribution of this paper is a model structure for the identification of affine quasi linear parameter-varying (qLPV) models in state-space (SS) form. The special case where the state is unknown and part of the scheduling vector is considered. In this case the model is always recurrent in the states which demands for an internal dynamics approach, e.g. a Recurrent Neural Network (RNN). The proposed approach is based on a structured RNN developed by Lachhab et al. [1], but extends the original model via so-called gates, neural network structures which are responsible for the recent success of RNNs on various areas of application in Machine Learning, such as the Long short-term memory (LSTM) network and the Gated Recurrent Unit (GRU). The use of gates has multiple advantages: The complexity of the models scheduling map and hence its approximation capabilities are increased, while preserving its affine quasi-LPV structure and the applicability of the results on global asymptotic stability (GAS) by Lachhab et al. [1] at the same time. The performance of the proposed approach is demonstrated by comparison with two other RNN-based approaches on two nonlinear system identification benchmark problems.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125734170","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}
Pub Date : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931867
G. Ifrim, G. Horincar, Larisa Condrachi, M. Titica, J. L. Guzmán
Data-driven control methods can exploit the data obtained from plants to derive efficient controllers even though certain dynamics remain unknown. This paper presents the fictitious reference iterative tuning method used to derive a PI controller. The data used for deriving the controller were obtain by operating a photobioreactor at various gaseous CO2 steps and measuring the pH. The obtained pH controller was implemented on a laboratory scale airlift photobioreactor and validated at the optimal pH for Scenedesmus sp.
{"title":"Fictitious Reference Iterative Tuning Control of the pH in a Photobioreactor","authors":"G. Ifrim, G. Horincar, Larisa Condrachi, M. Titica, J. L. Guzmán","doi":"10.1109/ICSTCC55426.2022.9931867","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931867","url":null,"abstract":"Data-driven control methods can exploit the data obtained from plants to derive efficient controllers even though certain dynamics remain unknown. This paper presents the fictitious reference iterative tuning method used to derive a PI controller. The data used for deriving the controller were obtain by operating a photobioreactor at various gaseous CO2 steps and measuring the pH. The obtained pH controller was implemented on a laboratory scale airlift photobioreactor and validated at the optimal pH for Scenedesmus sp.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129355048","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}
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