Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401505
Mingyu Liu, S. Qiu, Jinyong Lin, Weilin Wu, Guannan Chen, Rong Chen
Raman spectroscopy (RS) of Nasopharyngeal carcinoma (NPC) tissue contained various biomedicine features. These features indicated molecular-level information of tissue at different carcinoma development-level. This study suggested an automatic and quick method for the NPC Raman spectra classification at different stages by multivariate statistical analysis. In the RS measurement, high quality Raman spectra was acquired from each NPC tissue sample in two groups: one group consisted of 30 NPC patients at the early stages (I-II), another group was 46 NPC patients at the advanced stages (III-IV). Moreover, tentative diagnostic algorithms based on principle components analysis (PCA) and support vector machine (SVM) were employed to classify the multivariate data of Raman spectra effectively. The classification performance (sensitivities and specificities were 70% (21/30) and 91% (42/46)) was achieved by the PCA-SVM in conjunction with leave-one-out cross validation method. In this beneficial study, the RS technique in conjunction with PCA-SVM provided a great clinical potential for rapid NPC stage diagnosis.
{"title":"Test of label-free Nasopharyngeal carinoma tissue at different stages by Raman spectroscopy","authors":"Mingyu Liu, S. Qiu, Jinyong Lin, Weilin Wu, Guannan Chen, Rong Chen","doi":"10.1109/BMEI.2015.7401505","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401505","url":null,"abstract":"Raman spectroscopy (RS) of Nasopharyngeal carcinoma (NPC) tissue contained various biomedicine features. These features indicated molecular-level information of tissue at different carcinoma development-level. This study suggested an automatic and quick method for the NPC Raman spectra classification at different stages by multivariate statistical analysis. In the RS measurement, high quality Raman spectra was acquired from each NPC tissue sample in two groups: one group consisted of 30 NPC patients at the early stages (I-II), another group was 46 NPC patients at the advanced stages (III-IV). Moreover, tentative diagnostic algorithms based on principle components analysis (PCA) and support vector machine (SVM) were employed to classify the multivariate data of Raman spectra effectively. The classification performance (sensitivities and specificities were 70% (21/30) and 91% (42/46)) was achieved by the PCA-SVM in conjunction with leave-one-out cross validation method. In this beneficial study, the RS technique in conjunction with PCA-SVM provided a great clinical potential for rapid NPC stage diagnosis.","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":"131693595","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.2015.7401568
Xinge Liu, Fengxian Wang, Meilan Tang, Yanjun Shu
In this paper, based on the discrete Wirtinger inequality, the problem of summation inequality is investigated. Some new summation inequalities are established, which extend the discrete Jensen inequality effectively. As an application of the summation inequalities, a novel sufficient criterion on asymptotical stability of discrete systems with variable delay is proposed. A numerical example is provided to show that our stability criterion achieves the improvements over the existing ones.
{"title":"Asymptotical stability for a class of discrete systems with variable delay","authors":"Xinge Liu, Fengxian Wang, Meilan Tang, Yanjun Shu","doi":"10.1109/BMEI.2015.7401568","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401568","url":null,"abstract":"In this paper, based on the discrete Wirtinger inequality, the problem of summation inequality is investigated. Some new summation inequalities are established, which extend the discrete Jensen inequality effectively. As an application of the summation inequalities, a novel sufficient criterion on asymptotical stability of discrete systems with variable delay is proposed. A numerical example is provided to show that our stability criterion achieves the improvements over the existing ones.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"56 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":"122978683","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.2015.7401540
Xiyan Li, Miaorong Wang, Guoxing Wang
In this work, we propose to use the Particle Swarm Optimization (PSO) method to optimize the power efficiency, the data gain, and the interference of wireless telemetry systems. Two design cases are discussed. The first one is a power only transmission system which is used in retinal stimulation. The system's power transmission efficiency after proposed optimization can achieve 79.1% at the frequency of 1MHz. The real system is implemented in PCB, and the testing result is close to the simulations. We also compare the results obtained from the sweeping optimization method with the proposed PSO method for this design case. The second system is a dual band system which transmits power and data at the frequency of 1MHz and 13.56MHz separately. After optimization, the efficiency can achieve 74.8%, with a 5.137 data gain and a small interference of 0.055.
{"title":"Optimization of coils in wireless telemetry systems using the Particle Swarm Optimization algorithm","authors":"Xiyan Li, Miaorong Wang, Guoxing Wang","doi":"10.1109/BMEI.2015.7401540","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401540","url":null,"abstract":"In this work, we propose to use the Particle Swarm Optimization (PSO) method to optimize the power efficiency, the data gain, and the interference of wireless telemetry systems. Two design cases are discussed. The first one is a power only transmission system which is used in retinal stimulation. The system's power transmission efficiency after proposed optimization can achieve 79.1% at the frequency of 1MHz. The real system is implemented in PCB, and the testing result is close to the simulations. We also compare the results obtained from the sweeping optimization method with the proposed PSO method for this design case. The second system is a dual band system which transmits power and data at the frequency of 1MHz and 13.56MHz separately. After optimization, the efficiency can achieve 74.8%, with a 5.137 data gain and a small interference of 0.055.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"12 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":"116106895","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.2015.7401476
Wei Shi, Junzhou Chen, Honghan Chen, Qiang Peng, Tao Gan
Small intestine bleeding is one of the most common disease in human gastrointestinal tract. The Wireless Capsule Endoscopy (WCE) has been an advanced technology to inspect the intestine in recent years. In this paper, a new time domain based method was proposed to locate bleeding fragment in WCE videos. The spatial feature and the time domain information were combined to make the decision. The proposed method consists of four phases: First, dark holes and wrinkle edges of each frame were removed in preprocessing. Second, each frame was segmented into small patches by using super-pixel segmentation. A coarse bleeding region filter was adopted to remove noisy patches. Third, the red ratio feature and the a feature of the WCE images were extracted. Finally, the bleeding fragment was detected based on the temporal red ratio feature and the temporal a features fusion. Experimental results show that the proposed method achieves good performance.
{"title":"Bleeding fragment localization using time domain information for WCE videos","authors":"Wei Shi, Junzhou Chen, Honghan Chen, Qiang Peng, Tao Gan","doi":"10.1109/BMEI.2015.7401476","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401476","url":null,"abstract":"Small intestine bleeding is one of the most common disease in human gastrointestinal tract. The Wireless Capsule Endoscopy (WCE) has been an advanced technology to inspect the intestine in recent years. In this paper, a new time domain based method was proposed to locate bleeding fragment in WCE videos. The spatial feature and the time domain information were combined to make the decision. The proposed method consists of four phases: First, dark holes and wrinkle edges of each frame were removed in preprocessing. Second, each frame was segmented into small patches by using super-pixel segmentation. A coarse bleeding region filter was adopted to remove noisy patches. Third, the red ratio feature and the a feature of the WCE images were extracted. Finally, the bleeding fragment was detected based on the temporal red ratio feature and the temporal a features fusion. Experimental results show that the proposed method achieves good performance.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"164 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":"115265986","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.2015.7401486
Ziming Zeng, Siping Chen, Lidong Yin, R. Zwiggelaar
In this paper, a new unsupervised approach is proposed for the segmentation of Multiple Sclerosis (MS) lesions in multimodality Magnetic Resonance (MR) images. The proposed segmentation scheme is based on joint histogram modelling followed by false positive reduction and alpha matting, which is used to deal with the tissue density overlap problem and partial volume effects in MR images. Firstly, the joint histogram is generated by using fluid-attenuated inversion recovery (Flair), T1-weighted (T1-w) and T2-weighted (T2-w) MRI. Then the region for MS lesions in the joint histogram are located. Sub-sequently, the located region is projected back into the 2D MR images with potential MS lesions. Secondly, priori information is utilized to remove false positive volume of interests. Finally, the partial volume effect is modelled by using an alpha technique provides region level lesion refinement. Validation is performed on real multi-channel T1-w, T2-w, and Flair MR volumes. The experimental results show the proposed method can obtain better results than some state-of-the-art methods.
{"title":"Unsupervised segmentation for multiple sclerosis lesions in multimodality Magnetic Resonance images","authors":"Ziming Zeng, Siping Chen, Lidong Yin, R. Zwiggelaar","doi":"10.1109/BMEI.2015.7401486","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401486","url":null,"abstract":"In this paper, a new unsupervised approach is proposed for the segmentation of Multiple Sclerosis (MS) lesions in multimodality Magnetic Resonance (MR) images. The proposed segmentation scheme is based on joint histogram modelling followed by false positive reduction and alpha matting, which is used to deal with the tissue density overlap problem and partial volume effects in MR images. Firstly, the joint histogram is generated by using fluid-attenuated inversion recovery (Flair), T1-weighted (T1-w) and T2-weighted (T2-w) MRI. Then the region for MS lesions in the joint histogram are located. Sub-sequently, the located region is projected back into the 2D MR images with potential MS lesions. Secondly, priori information is utilized to remove false positive volume of interests. Finally, the partial volume effect is modelled by using an alpha technique provides region level lesion refinement. Validation is performed on real multi-channel T1-w, T2-w, and Flair MR volumes. The experimental results show the proposed method can obtain better results than some state-of-the-art methods.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"33 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":"115747284","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.2015.7401613
Qiuying Bai, Guizhi Li, Qiheng Sun
An improved artificial bee colony (ABC&VNS) to settle the traveling salesman problem (TSP) is described in this paper. This hybrid algorithm's principal character is to incorporate the solution construction mechanism of the artificial bee colony (ABC) with variable neighborhood search (VNS) to exploit the intrinsic structure of the solutions to acquire the high quality solution. Besides, three novel neighborhood structures are present, in which problem-specific knowledge is utilized respectively, to improve both the search efficiency and quality of VNS. Finally, the experiments for benchmark TSP instances are carried out to verify that the proposed algorithm is capable of maintaining high performance to solve the TSP, which is compared with the best existing approaches in the way of solution quality.
{"title":"An improved hybrid algorithm for traveling salesman problem","authors":"Qiuying Bai, Guizhi Li, Qiheng Sun","doi":"10.1109/BMEI.2015.7401613","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401613","url":null,"abstract":"An improved artificial bee colony (ABC&VNS) to settle the traveling salesman problem (TSP) is described in this paper. This hybrid algorithm's principal character is to incorporate the solution construction mechanism of the artificial bee colony (ABC) with variable neighborhood search (VNS) to exploit the intrinsic structure of the solutions to acquire the high quality solution. Besides, three novel neighborhood structures are present, in which problem-specific knowledge is utilized respectively, to improve both the search efficiency and quality of VNS. Finally, the experiments for benchmark TSP instances are carried out to verify that the proposed algorithm is capable of maintaining high performance to solve the TSP, which is compared with the best existing approaches in the way of solution quality.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"23 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":"125722582","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.2015.7401514
Jie Luo, Shaoping Xu, Shunliang Jiang
As a feasible alternative approach, computer-based surgical simulators have been developed over the past few decades to enhance traditional surgical training. But most surgery simulators still suffer from stability and efficiency problems when simulating complex surgical procedures like cutting with respect to the graphical rendering. For naturalistic rendering, the response of soft tissue during the cutting operation should be cautiously verified, analyzed and simulated. In this paper, a novel hybrid rendering approach to tracheotomy simulation combining traditional mesh-based rendering with emerging point-based rendering is proposed, where mesh-based rendering algorithm is applied on the non-surgical area while point-based rendering algorithm is applied on the surgical area. Central to our method is different appropriate rendering methods applied to the two regions respectively, resulting in a contribution to the speed up of the calculation. The approach has been integrated into our virtual tracheotomy surgery training prototype system. The details and results of experiments indicate that our hybrid rendering approach is suitable in the design of surgical simulators. It can keep the visual reality while significantly increasing the efficiency and stability for simulation of soft-tissue's cutting.
{"title":"A novel hybrid rendering approach to soft tissue cutting in surgical simulation","authors":"Jie Luo, Shaoping Xu, Shunliang Jiang","doi":"10.1109/BMEI.2015.7401514","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401514","url":null,"abstract":"As a feasible alternative approach, computer-based surgical simulators have been developed over the past few decades to enhance traditional surgical training. But most surgery simulators still suffer from stability and efficiency problems when simulating complex surgical procedures like cutting with respect to the graphical rendering. For naturalistic rendering, the response of soft tissue during the cutting operation should be cautiously verified, analyzed and simulated. In this paper, a novel hybrid rendering approach to tracheotomy simulation combining traditional mesh-based rendering with emerging point-based rendering is proposed, where mesh-based rendering algorithm is applied on the non-surgical area while point-based rendering algorithm is applied on the surgical area. Central to our method is different appropriate rendering methods applied to the two regions respectively, resulting in a contribution to the speed up of the calculation. The approach has been integrated into our virtual tracheotomy surgery training prototype system. The details and results of experiments indicate that our hybrid rendering approach is suitable in the design of surgical simulators. It can keep the visual reality while significantly increasing the efficiency and stability for simulation of soft-tissue's cutting.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"150 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":"123778822","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.2015.7401492
Chi Zhang, Xiaomin Liu, Wei Guo, Han-ping Wang, Zihao Li
Spine morphological analysis plays an important role in various medical purposes. However, the most conventional methods for the task employing radiography techniques cause considerable radiation damage to the patient and costs such high expense, which is not suitable for frequent examinations and treatments for certain groups of patient. Depending on the subjective analysis is also an obvious shortcoming of the methods. In this paper, we developed an innocuous spine morphological analysis method based on the surface asymmetry information of the patient's back, which causes no damage to the patient and provides a satisfying efficiency and low cost.
{"title":"An innocuous spine structure analysis method based on surface asymmetry evaluation","authors":"Chi Zhang, Xiaomin Liu, Wei Guo, Han-ping Wang, Zihao Li","doi":"10.1109/BMEI.2015.7401492","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401492","url":null,"abstract":"Spine morphological analysis plays an important role in various medical purposes. However, the most conventional methods for the task employing radiography techniques cause considerable radiation damage to the patient and costs such high expense, which is not suitable for frequent examinations and treatments for certain groups of patient. Depending on the subjective analysis is also an obvious shortcoming of the methods. In this paper, we developed an innocuous spine morphological analysis method based on the surface asymmetry information of the patient's back, which causes no damage to the patient and provides a satisfying efficiency and low cost.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"88 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":"125056023","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.2015.7401611
C. Shen, Zhongyang Chen, Yu Xue
Intrusion detection can decide whether there are dangerous user behaviors. It can also timely detect network security vulnerabilities of inner attacks, and it can make quick response and improve network security. Therefore, it is necessary to research about the intrusion detection in land and resources information systems. For the security status of land and resources network, we place the security architecture platform and select different types of attacks to test the systems. The test results verify the stability, reliability and scalability of the systems, achieving the needed results.
{"title":"Security system construction of land and resources network based on intrusion detection","authors":"C. Shen, Zhongyang Chen, Yu Xue","doi":"10.1109/BMEI.2015.7401611","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401611","url":null,"abstract":"Intrusion detection can decide whether there are dangerous user behaviors. It can also timely detect network security vulnerabilities of inner attacks, and it can make quick response and improve network security. Therefore, it is necessary to research about the intrusion detection in land and resources information systems. For the security status of land and resources network, we place the security architecture platform and select different types of attacks to test the systems. The test results verify the stability, reliability and scalability of the systems, achieving the needed results.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"265 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":"116609065","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.2015.7401559
Wenzhi Liu, Qi Li, Yunpeng Cai, Ye Li, Xiaoyan Li
With many theoretical and technological obstacles in health big data processing, it is hard to transfer data into successful and valuable applications. Meeting the Challenge of handling big data in healthcare information construction procedure, this paper proposes a referential architecture on the platform solution to overcome the problems in tremendous of healthcare big data process. Based on the proposed architecture a prototype has been built for healthcare big data analysis. Taking statistical analysis in administrator decide supporting service as an example, this paper tests the running performance and demonstrating effect of the prototype system for healthcare big data processing based on Spark.
{"title":"A prototype of healthcare big data processing system based on Spark","authors":"Wenzhi Liu, Qi Li, Yunpeng Cai, Ye Li, Xiaoyan Li","doi":"10.1109/BMEI.2015.7401559","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401559","url":null,"abstract":"With many theoretical and technological obstacles in health big data processing, it is hard to transfer data into successful and valuable applications. Meeting the Challenge of handling big data in healthcare information construction procedure, this paper proposes a referential architecture on the platform solution to overcome the problems in tremendous of healthcare big data process. Based on the proposed architecture a prototype has been built for healthcare big data analysis. Taking statistical analysis in administrator decide supporting service as an example, this paper tests the running performance and demonstrating effect of the prototype system for healthcare big data processing based on Spark.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"51 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":"132688004","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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