Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401533
Pu Zhang, Jie Sun, Guoqing Wan, Wenli Liu
Hemodialysis machine, regarded as an important clinical application of regular dialysis therapy, is a necessary equipment for the treatments of uremia patients as well as blood poisoning patients. Currently, medical device manufacturers as well as metrology measurement agencies in China usually use hemodialysis machine detectors as the commonly accepted functional calibration equipment for hemodialysis machines. So far, in China, there is no experimental protocol or devices can be used to test the accuracy and reliability of hemodialysis machine detectors, therefore, a set of new metrological apparatus with the name of hemodialysis machine detectors calibration equipment, is on the way of designing in order to make a traceable system for the calibration or verification of hemodialysis machine detectors. Principles and some research methods of this calibration equipment will be discussed in this paper.
{"title":"Primary design of hemodialysis machine detector calibration equipment","authors":"Pu Zhang, Jie Sun, Guoqing Wan, Wenli Liu","doi":"10.1109/BMEI.2015.7401533","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401533","url":null,"abstract":"Hemodialysis machine, regarded as an important clinical application of regular dialysis therapy, is a necessary equipment for the treatments of uremia patients as well as blood poisoning patients. Currently, medical device manufacturers as well as metrology measurement agencies in China usually use hemodialysis machine detectors as the commonly accepted functional calibration equipment for hemodialysis machines. So far, in China, there is no experimental protocol or devices can be used to test the accuracy and reliability of hemodialysis machine detectors, therefore, a set of new metrological apparatus with the name of hemodialysis machine detectors calibration equipment, is on the way of designing in order to make a traceable system for the calibration or verification of hemodialysis machine detectors. Principles and some research methods of this calibration equipment will be discussed in this paper.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129822588","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}
Two-dimensional gel electrophoresis (2DE) images are often corrupted by impulse noise in broad sense (including various artifacts, such as fingerprints, hairs, gel cracks, strips, water stains, dust and so on). In this paper, we propose a novel adaptive directional filter (ADF) to remove impulse noise completely and accurately. Firstly, we detect the impulse noise based on the observation that the directional derivative distributions around the protein spot centers and noise pixels are very different. Then, according to the bell-shaped three-dimensional appearance of protein spots, the greatest and smallest gradient directions were used to restore the noised pixels. Lastly, the pixels adjacent to the modified pixels are iteratively detected and restored until no impulse noise is detected. Experimental results on the synthetic and real 2DE images show that the proposed method performs much better than the previous approaches.
{"title":"Impulse noise removal in two-dimensional electrophoresis images based on dome recognition","authors":"Qiaofeng Ou, Huisheng Zhang, Lixin Li, Bangshu Xiong","doi":"10.1109/BMEI.2015.7401545","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401545","url":null,"abstract":"Two-dimensional gel electrophoresis (2DE) images are often corrupted by impulse noise in broad sense (including various artifacts, such as fingerprints, hairs, gel cracks, strips, water stains, dust and so on). In this paper, we propose a novel adaptive directional filter (ADF) to remove impulse noise completely and accurately. Firstly, we detect the impulse noise based on the observation that the directional derivative distributions around the protein spot centers and noise pixels are very different. Then, according to the bell-shaped three-dimensional appearance of protein spots, the greatest and smallest gradient directions were used to restore the noised pixels. Lastly, the pixels adjacent to the modified pixels are iteratively detected and restored until no impulse noise is detected. Experimental results on the synthetic and real 2DE images show that the proposed method performs much better than the previous approaches.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129832090","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 : 2015-10-01DOI: 10.1109/BMEI.2015.7401602
Fullerton Wu, Lin Zheng, Xiaoji Li
In the convergence network which consists of cognitive self-organization network and mobile cellular network (MCN), the emergency service requires the network with higher reliability and quality of service (QoS). However, the time-variant factors such as spectrum, channel, network topology, node energy, as well as the gateway performance make the stochastic optimization problem of emergency service complex. In this paper, we create an optimum model which is based on the restless bandit theory[1], and propose an optimum algorithm for multi-path routing selection by considering the routing cross and overlap. In our algorithm, the multi-mode gateways are regarded as the key nodes to construct the routes between cognitive self-organization network and mobile cellular network. The cross and overlapped routes are taken into consideration to loosen and expand the routes set for selection. The communication process is divided into a few path decision stages, and some paths for multicast[2][3] communication are activated according to their real-time status in each stage. The trade-off between delay and energy efficiency is made for multi-path selection. Simulation results verify that our algorithm owns outstanding performance on decreasing delay and improving energy efficiency.
{"title":"A bandit algorithm for multi-path routing in the emergency convergence network","authors":"Fullerton Wu, Lin Zheng, Xiaoji Li","doi":"10.1109/BMEI.2015.7401602","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401602","url":null,"abstract":"In the convergence network which consists of cognitive self-organization network and mobile cellular network (MCN), the emergency service requires the network with higher reliability and quality of service (QoS). However, the time-variant factors such as spectrum, channel, network topology, node energy, as well as the gateway performance make the stochastic optimization problem of emergency service complex. In this paper, we create an optimum model which is based on the restless bandit theory[1], and propose an optimum algorithm for multi-path routing selection by considering the routing cross and overlap. In our algorithm, the multi-mode gateways are regarded as the key nodes to construct the routes between cognitive self-organization network and mobile cellular network. The cross and overlapped routes are taken into consideration to loosen and expand the routes set for selection. The communication process is divided into a few path decision stages, and some paths for multicast[2][3] communication are activated according to their real-time status in each stage. The trade-off between delay and energy efficiency is made for multi-path selection. Simulation results verify that our algorithm owns outstanding performance on decreasing delay and improving energy efficiency.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130184618","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 : 2015-10-01DOI: 10.1109/BMEI.2015.7401564
Bo Yang, Jiangtao Xu, Bailin Liu, Zheng Wu
Constructing gene regulatory networks (GRNs) with microarray gene data is an essential and challenging task, especially when the underlying structures of networks are not observable in an experimental context. The paper proposes a boosting regression algorithm, called informative prior based GRN construction (ipGRN), to perform GRN inference. The ipGRN utilizes a scale-free based informative prior as well as Bayesian criterion measure to improve inference accuracy. In comparison with three existing methods (NIMOO, lasso and NIR), the ipGRN exhibits a significant improvement of computational accuracy and effectiveness on experiments of synthetic and real datasets. Furthermore, the method was applied to breast cancer data to reconstruct a sub-network of cancer susceptibility genes and achieved better inference results in detecting cancer associated genes.
{"title":"Inferring gene regulatory networks with a scale-free property based informative prior","authors":"Bo Yang, Jiangtao Xu, Bailin Liu, Zheng Wu","doi":"10.1109/BMEI.2015.7401564","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401564","url":null,"abstract":"Constructing gene regulatory networks (GRNs) with microarray gene data is an essential and challenging task, especially when the underlying structures of networks are not observable in an experimental context. The paper proposes a boosting regression algorithm, called informative prior based GRN construction (ipGRN), to perform GRN inference. The ipGRN utilizes a scale-free based informative prior as well as Bayesian criterion measure to improve inference accuracy. In comparison with three existing methods (NIMOO, lasso and NIR), the ipGRN exhibits a significant improvement of computational accuracy and effectiveness on experiments of synthetic and real datasets. Furthermore, the method was applied to breast cancer data to reconstruct a sub-network of cancer susceptibility genes and achieved better inference results in detecting cancer associated genes.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130003987","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 : 2015-10-01DOI: 10.1109/BMEI.2015.7401510
Ziming Zeng, Siping Chen, Sheng Tang, Lidong Yin
In this paper, we propose a method based on an adaptive active contour modelling to segment the cell nuclei from cervical smear images. The basic idea of our method is to make a contour to adaptively deform so as to get a minimized given region energy function. In order to make the evolution of the contour rely less on the intensity homogeneity and achieve the purpose of adaptive segmentation of the cell nuclei, the proposed method utilizes the morphology method to initialize the active contour modelling. Then a Gaussian kernel function is used to extract the local region and defines its local region fitting energy function which approximates the image intensities on the two sides of the contour in the local region. Finally, the Split Bregman method is used to obtain a robust numerical solution and to generate the segmentation results. In our experiments, the proposed approach can obtain accurate segmentation results compared with some state-of-the-art approaches.
{"title":"Unsupervised segmentation of cell nuclei in cervical smear images using active contour with adaptive local region fitting energy modelling","authors":"Ziming Zeng, Siping Chen, Sheng Tang, Lidong Yin","doi":"10.1109/BMEI.2015.7401510","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401510","url":null,"abstract":"In this paper, we propose a method based on an adaptive active contour modelling to segment the cell nuclei from cervical smear images. The basic idea of our method is to make a contour to adaptively deform so as to get a minimized given region energy function. In order to make the evolution of the contour rely less on the intensity homogeneity and achieve the purpose of adaptive segmentation of the cell nuclei, the proposed method utilizes the morphology method to initialize the active contour modelling. Then a Gaussian kernel function is used to extract the local region and defines its local region fitting energy function which approximates the image intensities on the two sides of the contour in the local region. Finally, the Split Bregman method is used to obtain a robust numerical solution and to generate the segmentation results. In our experiments, the proposed approach can obtain accurate segmentation results compared with some state-of-the-art approaches.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122390589","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 : 2015-10-01DOI: 10.1109/BMEI.2015.7401551
Zhenzhen Huang, Haomin Li
Several large-scale human cancer genomics projects such as TCGA offered huge genomic and clinical data for researchers to obtain meaningful genomics alterations which intervene in the development and metastasis of tumors. The object of this study was to identify associations of mutation genes and survival time by linking these genomic features to clinical outcome. Based on the TCGA dataset, this study developed a website called TCGA4U which provides a visualization solution to illustrate the relationship of these genomics alternations with clinical data. Through integrating somatic mutation data and follow up data of three cancer types in TCGA, this study identified several somatic mutations which impact patient survival with statistical significance. These identified mutation genes have the potential to be used as new cancer biomarkers in clinical to predict the survival of patients.
{"title":"Identify cancer survival related mutation genes from integrated TCGA datasets","authors":"Zhenzhen Huang, Haomin Li","doi":"10.1109/BMEI.2015.7401551","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401551","url":null,"abstract":"Several large-scale human cancer genomics projects such as TCGA offered huge genomic and clinical data for researchers to obtain meaningful genomics alterations which intervene in the development and metastasis of tumors. The object of this study was to identify associations of mutation genes and survival time by linking these genomic features to clinical outcome. Based on the TCGA dataset, this study developed a website called TCGA4U which provides a visualization solution to illustrate the relationship of these genomics alternations with clinical data. Through integrating somatic mutation data and follow up data of three cancer types in TCGA, this study identified several somatic mutations which impact patient survival with statistical significance. These identified mutation genes have the potential to be used as new cancer biomarkers in clinical to predict the survival of patients.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124127627","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 : 2015-10-01DOI: 10.1109/BMEI.2015.7401513
Dongdong Jiang, Xianliang Hu, Danfu Han
A new algorithm is proposed by the cubic spline to describe the shape of the domain in an arterial graft design problem, which is mathematically modeled with a flow-based shape optimization. The optimization method based on the coefficients of the spline is then studied, where a mixed finite element formulation is used for the flow problem and the moving mesh technique is adopted to track the optimized shape. The numerical results are illustrated to show the convergence of the proposed scheme.
{"title":"A cubic spline approach for solving the arterial graft design problem","authors":"Dongdong Jiang, Xianliang Hu, Danfu Han","doi":"10.1109/BMEI.2015.7401513","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401513","url":null,"abstract":"A new algorithm is proposed by the cubic spline to describe the shape of the domain in an arterial graft design problem, which is mathematically modeled with a flow-based shape optimization. The optimization method based on the coefficients of the spline is then studied, where a mixed finite element formulation is used for the flow problem and the moving mesh technique is adopted to track the optimized shape. The numerical results are illustrated to show the convergence of the proposed scheme.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125937476","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 : 2015-10-01DOI: 10.1109/BMEI.2015.7401478
Xingbin Liu, Huiqian Du, Jiadi Bei, Wenbo Mei
In this paper, a novel multi-modality medical image fusion method based on compressed sensing by fusing undersampled k-space data is proposed. In order to transfer structural information from the source images into the fused image clearly, a combined fusion strategy is designed for undersampled low and high frequency subbands of k-space data. The final fused image is reconstructed from fused subband data with the conjugate gradient method. The experimental results demonstrate that the proposed algorithm can substantially reduce sampling data and obtain satisfactory results to meet the demand of clinical diagnosis.
{"title":"Compressed sensing based multi-modal medical image fusion using a combined fusion strategy","authors":"Xingbin Liu, Huiqian Du, Jiadi Bei, Wenbo Mei","doi":"10.1109/BMEI.2015.7401478","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401478","url":null,"abstract":"In this paper, a novel multi-modality medical image fusion method based on compressed sensing by fusing undersampled k-space data is proposed. In order to transfer structural information from the source images into the fused image clearly, a combined fusion strategy is designed for undersampled low and high frequency subbands of k-space data. The final fused image is reconstructed from fused subband data with the conjugate gradient method. The experimental results demonstrate that the proposed algorithm can substantially reduce sampling data and obtain satisfactory results to meet the demand of clinical diagnosis.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125764888","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 : 2015-10-01DOI: 10.1109/BMEI.2015.7401595
Zhenchun Huang, Yang Gu, XiaoXuan Bai
Bioinformatics applications which are both data-intensive and computation-intensive bring great challenges to their development and optimization. In order to study and accelerate bioinformatics data analysis models, a method named data transformation graph (DTG) is introduced first. It describes scientific data analysis models by dependencies and transformations among their data items. Then, taking BLAST as an example, DTG is used to study the data dependency in this popular bioinformatics data analysis model and parallel it by both query splitting and database partition. At last, parallel versions of BLAST proposed by DTG are implemented based on a distributed data-intensive computing middleware called Robinia. The result of performance test shows that parallel BLAST can achieve near-linear speedup with good scalability, and data transformation graph can be used to study, parallelize and optimize bioinformatics analysis applications for higher performance.
{"title":"Exploiting parallelism for bioinformatics data analysis applications by data transformation graph","authors":"Zhenchun Huang, Yang Gu, XiaoXuan Bai","doi":"10.1109/BMEI.2015.7401595","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401595","url":null,"abstract":"Bioinformatics applications which are both data-intensive and computation-intensive bring great challenges to their development and optimization. In order to study and accelerate bioinformatics data analysis models, a method named data transformation graph (DTG) is introduced first. It describes scientific data analysis models by dependencies and transformations among their data items. Then, taking BLAST as an example, DTG is used to study the data dependency in this popular bioinformatics data analysis model and parallel it by both query splitting and database partition. At last, parallel versions of BLAST proposed by DTG are implemented based on a distributed data-intensive computing middleware called Robinia. The result of performance test shows that parallel BLAST can achieve near-linear speedup with good scalability, and data transformation graph can be used to study, parallelize and optimize bioinformatics analysis applications for higher performance.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127210245","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 : 2015-10-01DOI: 10.1109/BMEI.2015.7401539
Xing Chen, Lulu Zhang, D. Cui
A real-time fluorescence detection biomedical system with a microfluidic chip was developed for loop-mediated isothermal amplification (LAMP) reactions. Two kinds of microfluidic chips with linear microchannels or microcells were designed and fabricated by MEMS technology and thin-casting method. Both traditional centrifugal tubes and microfluidic chips were used for LAMP reactions. Based on the experimental results of end-point fluorescence detection, the microfluidic chip can be successfully used for LAMP reactions. And then our real-time fluorescence detection biomedical system with a microfluidic chip was used to implement positive reaction and negative control. The volume of the LAMP reaction was greatly reduced from about 25 μL to 2 μL~3 μL and the reaction time can be reduced from one hour to half an hour by using our real-time fluorescence detection biomedical system. This biomedical system has the potential for point-of-care diagnostics (POCT) with the many advantages, such as not high cost, short analysis and detection time, not much reagent and sample consumption and so on.
{"title":"Miniaturized systems with microchips for four isothermal amplification reactions","authors":"Xing Chen, Lulu Zhang, D. Cui","doi":"10.1109/BMEI.2015.7401539","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401539","url":null,"abstract":"A real-time fluorescence detection biomedical system with a microfluidic chip was developed for loop-mediated isothermal amplification (LAMP) reactions. Two kinds of microfluidic chips with linear microchannels or microcells were designed and fabricated by MEMS technology and thin-casting method. Both traditional centrifugal tubes and microfluidic chips were used for LAMP reactions. Based on the experimental results of end-point fluorescence detection, the microfluidic chip can be successfully used for LAMP reactions. And then our real-time fluorescence detection biomedical system with a microfluidic chip was used to implement positive reaction and negative control. The volume of the LAMP reaction was greatly reduced from about 25 μL to 2 μL~3 μL and the reaction time can be reduced from one hour to half an hour by using our real-time fluorescence detection biomedical system. This biomedical system has the potential for point-of-care diagnostics (POCT) with the many advantages, such as not high cost, short analysis and detection time, not much reagent and sample consumption and so on.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130895092","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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