Pub Date : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479764
Zeynep Colak, S. Helhel, I. Basyigit, Ş. Özen
In this study, two different mobile communication operators provide services in Turkey have been chosen that each operator has both 2G and 3G services. In this study, electromagnetic interference distance to medical equipments located in The Medical School Hospital of Akdeniz University sourced from mobiled phones have been examined. Through out different units in the hospital environment, 30 different measurements carried out, and deterioration in audio and visual signal reaction of devices was found to be associated with the distance to mobile phones. Electromagnetic interference, particularly of the ECG and ted EEG device was observed, and exposure begins with range 1.25m distance.
{"title":"Safety distance for medical equipments based on 2G and 3G mobile systems","authors":"Zeynep Colak, S. Helhel, I. Basyigit, Ş. Özen","doi":"10.1109/BIYOMUT.2010.5479764","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479764","url":null,"abstract":"In this study, two different mobile communication operators provide services in Turkey have been chosen that each operator has both 2G and 3G services. In this study, electromagnetic interference distance to medical equipments located in The Medical School Hospital of Akdeniz University sourced from mobiled phones have been examined. Through out different units in the hospital environment, 30 different measurements carried out, and deterioration in audio and visual signal reaction of devices was found to be associated with the distance to mobile phones. Electromagnetic interference, particularly of the ECG and ted EEG device was observed, and exposure begins with range 1.25m distance.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"251 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120959948","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479863
Devrim Önder, S. Sarıoğlu, Bilge Karaçali
The aim of this work is to perform automated texture classification of histology slide images in health and cancerous conditions using quasi-supervised statistical learning method. Tissue images were acquired from histological slides of human colon and were separated into two groups in terms of normal and disease conditions. Texture feature vectors corresponding to tissue segments of each image were calculated using co-occurrence matrices. Different texture regions were determined by the quasi-supervised statistical learning method using texture features of normal and cancerous groups.
{"title":"Automated classification of cancerous textures in histology images using quasi-supervised learning algorithm","authors":"Devrim Önder, S. Sarıoğlu, Bilge Karaçali","doi":"10.1109/BIYOMUT.2010.5479863","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479863","url":null,"abstract":"The aim of this work is to perform automated texture classification of histology slide images in health and cancerous conditions using quasi-supervised statistical learning method. Tissue images were acquired from histological slides of human colon and were separated into two groups in terms of normal and disease conditions. Texture feature vectors corresponding to tissue segments of each image were calculated using co-occurrence matrices. Different texture regions were determined by the quasi-supervised statistical learning method using texture features of normal and cancerous groups.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121846554","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479850
T. Uçar, D. Karahoca, A. Karahoca
A correct diagnosis of tuberculosis can be only stated by applying a medical test to patient's phlegm. The result of this test is obtained after a time period of about 45 days. The purpose of this study is to develop a data mining solution which makes diagnosis of tuberculosis as accurate as possible and helps deciding if it is reasonable to start tuberculosis treatment on suspected patients without waiting the exact medical test results. In this research, we compared the use of Bayesian Networks and Rough Sets to predict the existence of mycobacterium tuberculosis. 503 different patient records having 30 separate input parameters are obtained from a private clinic and used in the entire process of this research. The Bayesian Network model classifies the instances with RMSE of 22% whereas Rough Set algorithm does the same classification with RMSE of 37%. As a result, Bayesian Network is an accurate and reliable method when compared with Rough Set method for classification of tuberculosis patients.
{"title":"Predicting the existence of mycobacterium tuberculosis infection by Bayesian Networks and Rough Sets","authors":"T. Uçar, D. Karahoca, A. Karahoca","doi":"10.1109/BIYOMUT.2010.5479850","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479850","url":null,"abstract":"A correct diagnosis of tuberculosis can be only stated by applying a medical test to patient's phlegm. The result of this test is obtained after a time period of about 45 days. The purpose of this study is to develop a data mining solution which makes diagnosis of tuberculosis as accurate as possible and helps deciding if it is reasonable to start tuberculosis treatment on suspected patients without waiting the exact medical test results. In this research, we compared the use of Bayesian Networks and Rough Sets to predict the existence of mycobacterium tuberculosis. 503 different patient records having 30 separate input parameters are obtained from a private clinic and used in the entire process of this research. The Bayesian Network model classifies the instances with RMSE of 22% whereas Rough Set algorithm does the same classification with RMSE of 37%. As a result, Bayesian Network is an accurate and reliable method when compared with Rough Set method for classification of tuberculosis patients.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123746522","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479741
Pinar Ozel, Ferda Ilgen Uslu, A. Deniz Duru, S. Burcu Erdogan, A. Gokyigit, A. Ademoglu
Stroke is one of the most significant public health problems. It is the third cause of mortality cause and first cause of paralysis in developed societies. Diagnosis of stroke is determined using clinical symptoms and several imaging modalities. Magnetic Resonance Imaging is one of these methods. Images obtained with these modalities are used by the physician on a routine clinical investigation. However, in some cases, the boundaries of the stroke tissue should be selected and mapped to the anatomical regions in the atlas. In this study, a graphical user interface is developed in order to identify and map the stroke regions to the digital anatomical atlas on registered and normalized MR images by SPM5. By using this interface, it is aimed to investigate the MR images of the stroke patients and perform specific therapy planning for different groups.
{"title":"Determination and anatomical mapping of thalamic stroke regions to anatomical atlas","authors":"Pinar Ozel, Ferda Ilgen Uslu, A. Deniz Duru, S. Burcu Erdogan, A. Gokyigit, A. Ademoglu","doi":"10.1109/BIYOMUT.2010.5479741","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479741","url":null,"abstract":"Stroke is one of the most significant public health problems. It is the third cause of mortality cause and first cause of paralysis in developed societies. Diagnosis of stroke is determined using clinical symptoms and several imaging modalities. Magnetic Resonance Imaging is one of these methods. Images obtained with these modalities are used by the physician on a routine clinical investigation. However, in some cases, the boundaries of the stroke tissue should be selected and mapped to the anatomical regions in the atlas. In this study, a graphical user interface is developed in order to identify and map the stroke regions to the digital anatomical atlas on registered and normalized MR images by SPM5. By using this interface, it is aimed to investigate the MR images of the stroke patients and perform specific therapy planning for different groups.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121495701","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479848
Baycan Akcay, M. Engin, E. Z. Engin, Seyhan Coskun, Gungor Polat
In this study, the time-scale based analysis of EEG signals is shown for recognition of sleep stages. The EEG signals from healthy subjects are analyzed by Scalogram method in the time-scale domain. We observed that statistical parameters, the average gray level and measure of uniformity extracted from the energy distribution images, are found to be effective on the recognition of sleep stages.
{"title":"Investigation of sleep stages identification with time-scale based parameters","authors":"Baycan Akcay, M. Engin, E. Z. Engin, Seyhan Coskun, Gungor Polat","doi":"10.1109/BIYOMUT.2010.5479848","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479848","url":null,"abstract":"In this study, the time-scale based analysis of EEG signals is shown for recognition of sleep stages. The EEG signals from healthy subjects are analyzed by Scalogram method in the time-scale domain. We observed that statistical parameters, the average gray level and measure of uniformity extracted from the energy distribution images, are found to be effective on the recognition of sleep stages.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131136561","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479847
F. Ates, U. Akgun, M. Karahan, C. Yucesoy
In this study, it is aimed at measuring for the first time the isometric force of human gracilis (G) muscle as a function of joint angle, intraoperatively. Experiments were conducted during anterior cruciate ligament reconstruction surgery. The knee angle was fixed at 120°, 90°, 60°, 30° and 0° respectively and active isometric forces of this muscle were measured using a buckle force transducer. Limited correlation was found between the anthropometric data of the subjects and the maximal G muscle force. Accordingly, we suggest that in interventions targeting G muscle, a patient specific approach needs to be planned for achieving optimal results. G muscle was shown to be functional for almost all of the knee angle range studied. This result indicates that G muscle contributes to the knee moment for even very low muscle lengths during major daily activities including walking and sit-to-stand motion.
{"title":"Intraoperative measurement of human gracilis muscle isometric forces as a function of knee angle","authors":"F. Ates, U. Akgun, M. Karahan, C. Yucesoy","doi":"10.1109/BIYOMUT.2010.5479847","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479847","url":null,"abstract":"In this study, it is aimed at measuring for the first time the isometric force of human gracilis (G) muscle as a function of joint angle, intraoperatively. Experiments were conducted during anterior cruciate ligament reconstruction surgery. The knee angle was fixed at 120°, 90°, 60°, 30° and 0° respectively and active isometric forces of this muscle were measured using a buckle force transducer. Limited correlation was found between the anthropometric data of the subjects and the maximal G muscle force. Accordingly, we suggest that in interventions targeting G muscle, a patient specific approach needs to be planned for achieving optimal results. G muscle was shown to be functional for almost all of the knee angle range studied. This result indicates that G muscle contributes to the knee moment for even very low muscle lengths during major daily activities including walking and sit-to-stand motion.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134366553","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479825
Mehmet Özçelik, H. Ş. Bilge
Microscopic analysis of images in the health care at the cellular level is one of the important methods for analysis and final diagnosis. In the diagnosis of blood diseases, although high technology systems provide very important information, for a definitive diagnosis microscopic smear examinations are needed. Microscopic examination is a time-consuming task for doctors. Therefore, in this study a basic system has been developed that may speed up the eye examination. In future, further development of this system may be an alternative to visual examination. From the basic blood cells (leukocyte, erythrocyte, platelet), we only focused on the locations of white blood cells in the image. In the development process of this system real blood smear images has been used. In this study iterative algorithms are not used instead of this, logical and morphological processes have been used. This allows faster operation of the system.
{"title":"Finding leukocyte region in microscopic images","authors":"Mehmet Özçelik, H. Ş. Bilge","doi":"10.1109/BIYOMUT.2010.5479825","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479825","url":null,"abstract":"Microscopic analysis of images in the health care at the cellular level is one of the important methods for analysis and final diagnosis. In the diagnosis of blood diseases, although high technology systems provide very important information, for a definitive diagnosis microscopic smear examinations are needed. Microscopic examination is a time-consuming task for doctors. Therefore, in this study a basic system has been developed that may speed up the eye examination. In future, further development of this system may be an alternative to visual examination. From the basic blood cells (leukocyte, erythrocyte, platelet), we only focused on the locations of white blood cells in the image. In the development process of this system real blood smear images has been used. In this study iterative algorithms are not used instead of this, logical and morphological processes have been used. This allows faster operation of the system.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124560261","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479864
S. Akdemir, S. Kara, V. Bilgiç
Here, respiratory signals were recorded from schizophrenia patients and healthy controls. The purpose of this study is to compare the respiratory effects as respiration rate and depth of different auditory stimuli in these two groups. Signals derived from a strain gauge attached to the chest were recorded for 8 min. which includes silence, Classical Turkish Music (CTM) and acoustic white noise stimulation periods. Although CTM, evoked an increase in respiration rate and a decrease in respiration depth in the control group, only a respiration rate acceleration was found in the patient group. Results showed that in order to evaluate the responses of the autonomic system and to clarify the effects of CTM, different physiological measurements taken into account. As a result of this, the emotional changes could be evaluated quantitatively.
{"title":"The investigation of respiratory differences during different auditory stimuli in schizophrenia patients","authors":"S. Akdemir, S. Kara, V. Bilgiç","doi":"10.1109/BIYOMUT.2010.5479864","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479864","url":null,"abstract":"Here, respiratory signals were recorded from schizophrenia patients and healthy controls. The purpose of this study is to compare the respiratory effects as respiration rate and depth of different auditory stimuli in these two groups. Signals derived from a strain gauge attached to the chest were recorded for 8 min. which includes silence, Classical Turkish Music (CTM) and acoustic white noise stimulation periods. Although CTM, evoked an increase in respiration rate and a decrease in respiration depth in the control group, only a respiration rate acceleration was found in the patient group. Results showed that in order to evaluate the responses of the autonomic system and to clarify the effects of CTM, different physiological measurements taken into account. As a result of this, the emotional changes could be evaluated quantitatively.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134415892","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479776
Alireza Mazloumi Gavgani, Y. Serinağaoğlu
In this study several inverse problem of electrocardiography (ECG) solution algorithms are combined to be accessed with a single graphical user interface. This interface is designed to be used for both research and educational purposes. Although this interface is mainly designed for the inverse problem of ECG it could be benefited to solve other inverse problems as well. This interface provides a number of error functions as well as a direct link to Map3D program which provides a 3 dimensional display of the results on the heart surface. It is certain that the quantitive and visual results displayed in this interface ease the comparison of different inverse ECG algorithms significantly.
{"title":"Graphical user interface for inverse problem of electrocardiography","authors":"Alireza Mazloumi Gavgani, Y. Serinağaoğlu","doi":"10.1109/BIYOMUT.2010.5479776","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479776","url":null,"abstract":"In this study several inverse problem of electrocardiography (ECG) solution algorithms are combined to be accessed with a single graphical user interface. This interface is designed to be used for both research and educational purposes. Although this interface is mainly designed for the inverse problem of ECG it could be benefited to solve other inverse problems as well. This interface provides a number of error functions as well as a direct link to Map3D program which provides a 3 dimensional display of the results on the heart surface. It is certain that the quantitive and visual results displayed in this interface ease the comparison of different inverse ECG algorithms significantly.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133946067","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 : 2010-04-21DOI: 10.1109/BIYOMUT.2010.5479813
O. Arikan, Burak Güçlü, P. Huijing, Can A. Yücesoy
It has been shown that non-tendinous structures play a major role in force transmission: epimuscular myofascial force transmission. Such force transmission was shown to cause substantial strain distributions along muscle fibers indicating serial heterogeneity of sarcomere lengths. Recent studies showed evidence on sizable inter-antagonistic epimuscular myofascial force transmission. It is hypothesized in this study that epimuscular myofascial force transmission can play a role in afferent signals generated in muscle sensory organs. The goal of our present study was to test this hypothesis by measuring the afferent firing rates of antagonistic muscles of the lower leg. Gastrocnemius muscle of the frog (Rana ridibunda) was given 1-5 mm of ramp-and-hold stretch via a pulley mechanism connected to its distal tendon. Keeping the ankle and knee angles fixed (at 100° and 120°, respectively), sensory unit recordings were taken from both tibial and peroneal branches of sciatic nerve simultaneously: afferent signals generated from both the lengthened gastrocnemius muscle and the restrained antagonistic muscles were recorded. Remarkably, imposing passive stretch resulted in a significant increase in the firing rates of the units of not only the lengthened muscle, but also of the restrained antagonists (p<;0,05 n=12). This novel finding suggests that due to epimuscular myofascial force transmission, stretching of the target muscle causes local length changes sensed by the sensory organs within the fibers of the antagonistic muscles, despite being restrained. Our results therefore provide a preliminary support to our hypothesis and are likely to have major implications on our understanding of the functioning of muscular mechanoreceptors.
{"title":"Experimental assessment of the effects of epimuscular myofascial force transmission in the sensory level","authors":"O. Arikan, Burak Güçlü, P. Huijing, Can A. Yücesoy","doi":"10.1109/BIYOMUT.2010.5479813","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2010.5479813","url":null,"abstract":"It has been shown that non-tendinous structures play a major role in force transmission: epimuscular myofascial force transmission. Such force transmission was shown to cause substantial strain distributions along muscle fibers indicating serial heterogeneity of sarcomere lengths. Recent studies showed evidence on sizable inter-antagonistic epimuscular myofascial force transmission. It is hypothesized in this study that epimuscular myofascial force transmission can play a role in afferent signals generated in muscle sensory organs. The goal of our present study was to test this hypothesis by measuring the afferent firing rates of antagonistic muscles of the lower leg. Gastrocnemius muscle of the frog (Rana ridibunda) was given 1-5 mm of ramp-and-hold stretch via a pulley mechanism connected to its distal tendon. Keeping the ankle and knee angles fixed (at 100° and 120°, respectively), sensory unit recordings were taken from both tibial and peroneal branches of sciatic nerve simultaneously: afferent signals generated from both the lengthened gastrocnemius muscle and the restrained antagonistic muscles were recorded. Remarkably, imposing passive stretch resulted in a significant increase in the firing rates of the units of not only the lengthened muscle, but also of the restrained antagonists (p<;0,05 n=12). This novel finding suggests that due to epimuscular myofascial force transmission, stretching of the target muscle causes local length changes sensed by the sensory organs within the fibers of the antagonistic muscles, despite being restrained. Our results therefore provide a preliminary support to our hypothesis and are likely to have major implications on our understanding of the functioning of muscular mechanoreceptors.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133084581","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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