Pub Date : 2015-11-02DOI: 10.1109/BIBE.2015.7367696
T. Galochkina, D. Zlenko, I. Kovalenko, A. Nesterenko
The cell wall of Gram-negative bacteria plays a crucial role in the bacteria resistance to certain antimicrobials and its adaptation to the host environment. The first line of cell defense is its outer membrane composed of glycerophos-pholipids in the inner monolayer, lipopolysaccharides (LPS) in the outer monolayer and integral proteins. To understand the details of the outer membrane structure we build a molecular model of the Ra-LPS/LPS bilayer containing 8 β-barrels of the OmpA protein. We pay particular attention to the structural evolution of the outermost part of the LPS molecules (O-antigen) and analyze its conformational behavior using different computational criteria.
{"title":"Structural properties of the outer membrane of Gram-negative bacteria","authors":"T. Galochkina, D. Zlenko, I. Kovalenko, A. Nesterenko","doi":"10.1109/BIBE.2015.7367696","DOIUrl":"https://doi.org/10.1109/BIBE.2015.7367696","url":null,"abstract":"The cell wall of Gram-negative bacteria plays a crucial role in the bacteria resistance to certain antimicrobials and its adaptation to the host environment. The first line of cell defense is its outer membrane composed of glycerophos-pholipids in the inner monolayer, lipopolysaccharides (LPS) in the outer monolayer and integral proteins. To understand the details of the outer membrane structure we build a molecular model of the Ra-LPS/LPS bilayer containing 8 β-barrels of the OmpA protein. We pay particular attention to the structural evolution of the outermost part of the LPS molecules (O-antigen) and analyze its conformational behavior using different computational criteria.","PeriodicalId":422807,"journal":{"name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124832186","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 : 2015-11-02DOI: 10.1109/BIBE.2015.7367721
T. Djukić, N. Filipovic
Investigation of the motion of deformable particles immersed in fluid is clinically very relevant because it can help to improve treatment planning, diagnostics of disease, design of efficient terapeutical procedures, analysis of drug transport, etc. Experimental investigation of these phenomena is difficult and expensive and, therefore, numerical simulations can contribute to the acquisition of a lot of new and useful information. In this paper, a numerical model that simulates solid-fluid interaction is presented and used to simulate the motion of red blood cells and spherical particles through a fluid domain. A comparison with experimental results and other results presented in literature is performed. The good accuracy of the model demonstrates that this method has a great potential for simulating phenomena happening within complex geometric domains, such as microfluidic chips for cancer cell separation.
{"title":"Numerical simulation of behavior of red blood cells and cancer cells in complex geometrical domains","authors":"T. Djukić, N. Filipovic","doi":"10.1109/BIBE.2015.7367721","DOIUrl":"https://doi.org/10.1109/BIBE.2015.7367721","url":null,"abstract":"Investigation of the motion of deformable particles immersed in fluid is clinically very relevant because it can help to improve treatment planning, diagnostics of disease, design of efficient terapeutical procedures, analysis of drug transport, etc. Experimental investigation of these phenomena is difficult and expensive and, therefore, numerical simulations can contribute to the acquisition of a lot of new and useful information. In this paper, a numerical model that simulates solid-fluid interaction is presented and used to simulate the motion of red blood cells and spherical particles through a fluid domain. A comparison with experimental results and other results presented in literature is performed. The good accuracy of the model demonstrates that this method has a great potential for simulating phenomena happening within complex geometric domains, such as microfluidic chips for cancer cell separation.","PeriodicalId":422807,"journal":{"name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115512213","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 : 2015-11-02DOI: 10.1109/BIBE.2015.7367701
A. A. Salam, M. Akram, Sarmad Abbas Khitran, S. Anwar
Optic disc is one of the fundamental regions located in the internal retina that helps ophthalmologists in analysis and early diagnosis of many retinal diseases such as optic atrophy, optic neuritis, papilledema, ischemic optic neuropathy, glaucoma and diabetic retinopathy. An accurate and early diagnosis requires an accurate optic disc examination. Presence of different retinal abnormalities and non-uniform illumination make optic disc localization a challenging task. There is a need to detect and localize optic disc from fundus images with high accuracy to make the diagnosis using Computer Aided Systems developed for ophthalmic disease diagnosis more reliable. Proposed algorithm provides a novel optic disc localization and segmentation technique that detects multiple candidate optic disc regions from fundus image using enhancement and segmentation. The proposed system then extracts a hybrid feature set for each candidate region consisting of vessel based and intensity based features which are finally fed to SVM classifier. Final decision of Optic disc region is done after computing Manhattan distance from the mean of training data feature matrix. The evaluation of proposed system has been done on publicly available datasets and one local dataset and results shows the validity of proposed system.
{"title":"Optic disc localization using local vessel based features and support vector machine","authors":"A. A. Salam, M. Akram, Sarmad Abbas Khitran, S. Anwar","doi":"10.1109/BIBE.2015.7367701","DOIUrl":"https://doi.org/10.1109/BIBE.2015.7367701","url":null,"abstract":"Optic disc is one of the fundamental regions located in the internal retina that helps ophthalmologists in analysis and early diagnosis of many retinal diseases such as optic atrophy, optic neuritis, papilledema, ischemic optic neuropathy, glaucoma and diabetic retinopathy. An accurate and early diagnosis requires an accurate optic disc examination. Presence of different retinal abnormalities and non-uniform illumination make optic disc localization a challenging task. There is a need to detect and localize optic disc from fundus images with high accuracy to make the diagnosis using Computer Aided Systems developed for ophthalmic disease diagnosis more reliable. Proposed algorithm provides a novel optic disc localization and segmentation technique that detects multiple candidate optic disc regions from fundus image using enhancement and segmentation. The proposed system then extracts a hybrid feature set for each candidate region consisting of vessel based and intensity based features which are finally fed to SVM classifier. Final decision of Optic disc region is done after computing Manhattan distance from the mean of training data feature matrix. The evaluation of proposed system has been done on publicly available datasets and one local dataset and results shows the validity of proposed system.","PeriodicalId":422807,"journal":{"name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122523905","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 : 2015-11-02DOI: 10.1109/BIBE.2015.7367675
T. Marino, N. Russo, E. Sicilia, M. Toscano
Density functional computations on a series of complex systems and processes are presented and discussed. In particular the following subject have been investigated: i) catalytic mechanism of carbonic anhydrase; ii) structural properties of silver mediated DNA dimers; iii) structural and spectroscopic features of Zn-phthalocyanine derivatives; iv) carnosine-carboplatin, carnosine-oxaliplatin complexes fragmentation pathways. Reported data indicate that good results can be obtained selecting the appropriate computational strategies, exchange-correlation functionals and basis sets.
{"title":"Some examples on the performance of density functional theory in the description of bioinorganic systems and processes","authors":"T. Marino, N. Russo, E. Sicilia, M. Toscano","doi":"10.1109/BIBE.2015.7367675","DOIUrl":"https://doi.org/10.1109/BIBE.2015.7367675","url":null,"abstract":"Density functional computations on a series of complex systems and processes are presented and discussed. In particular the following subject have been investigated: i) catalytic mechanism of carbonic anhydrase; ii) structural properties of silver mediated DNA dimers; iii) structural and spectroscopic features of Zn-phthalocyanine derivatives; iv) carnosine-carboplatin, carnosine-oxaliplatin complexes fragmentation pathways. Reported data indicate that good results can be obtained selecting the appropriate computational strategies, exchange-correlation functionals and basis sets.","PeriodicalId":422807,"journal":{"name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"36 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114042322","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 : 2015-11-02DOI: 10.1109/BIBE.2015.7367718
E. Kiziltan, E. Yurtçu
Comet assay or single-cell gel electrophoresis is a widely used method for DNA damage assessment. The results of the method can be scored under microscopic examination either with the naked eye or automated systems. In this study, we present a semi-automatic comet assay analysis tool that was developed in our laboratory. The results obtained with our tool were compared with that of fully automatic shareware software. The preliminary results suggest that the presented semi-automatic software is an accurate and reliable tool for evaluation of comet assay.
{"title":"Semi-automatic scoring tool for comet assay","authors":"E. Kiziltan, E. Yurtçu","doi":"10.1109/BIBE.2015.7367718","DOIUrl":"https://doi.org/10.1109/BIBE.2015.7367718","url":null,"abstract":"Comet assay or single-cell gel electrophoresis is a widely used method for DNA damage assessment. The results of the method can be scored under microscopic examination either with the naked eye or automated systems. In this study, we present a semi-automatic comet assay analysis tool that was developed in our laboratory. The results obtained with our tool were compared with that of fully automatic shareware software. The preliminary results suggest that the presented semi-automatic software is an accurate and reliable tool for evaluation of comet assay.","PeriodicalId":422807,"journal":{"name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129210370","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 : 2015-11-02DOI: 10.1109/BIBE.2015.7367733
Diego P. Rubert, Elói Araújo, M. A. Stefanes
The study of motifs plays a central role in recognition of relations among components in biological networks such that gene regulation, protein interaction, and metabolic networks. Since these relations are not well-known, motifs inference appears as a way for understanding the principles involved in the relationship between cellular components. On the other hand, motifs search is a basic step for constructing models which represent biological behavior and explain functional and/or structural effects in biological networks. In this work we address the problem of infer all relevant motifs in a biological network. We also provide a solution for searching colorful motifs which can be topological-free or have an acyclic topology. We developed a tool for searching and inferring motifs, named SIMBio, and we implemented sequential and parallel versions. When comparing performance, our experiments have showed that SIMBio is faster than MOTUS for inferring motifs, even in the sequential version. We also compared it to Torque, and SIMBio has found more occurrences of motifs under the same experiments.
{"title":"SIMBio: Searching and inferring colorful motifs in biological networks","authors":"Diego P. Rubert, Elói Araújo, M. A. Stefanes","doi":"10.1109/BIBE.2015.7367733","DOIUrl":"https://doi.org/10.1109/BIBE.2015.7367733","url":null,"abstract":"The study of motifs plays a central role in recognition of relations among components in biological networks such that gene regulation, protein interaction, and metabolic networks. Since these relations are not well-known, motifs inference appears as a way for understanding the principles involved in the relationship between cellular components. On the other hand, motifs search is a basic step for constructing models which represent biological behavior and explain functional and/or structural effects in biological networks. In this work we address the problem of infer all relevant motifs in a biological network. We also provide a solution for searching colorful motifs which can be topological-free or have an acyclic topology. We developed a tool for searching and inferring motifs, named SIMBio, and we implemented sequential and parallel versions. When comparing performance, our experiments have showed that SIMBio is faster than MOTUS for inferring motifs, even in the sequential version. We also compared it to Torque, and SIMBio has found more occurrences of motifs under the same experiments.","PeriodicalId":422807,"journal":{"name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129909269","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 : 2015-11-02DOI: 10.1109/BIBE.2015.7367684
Milica G. Nikolić, V. Isailović, Paul D. Teal, Milos D. Radovic, N. Filipovic
Cochlea is a part of the inner ear and it has complex anatomy and function. The proper functioning of the cochlea includes the generation of a traveling wave along the basilar membrane, which leads to depolarization of hair cells in the Organ of Corti and subsequent auditory nerve excitation (mechanoelectrical transduction). To represent the behavior of the organ of Corti, electro-mechanical cochlea model needs to be developed. This paper presents a simplified electro-mechanical state space model of the cochlea.
{"title":"Electro-mechanical cochlea model","authors":"Milica G. Nikolić, V. Isailović, Paul D. Teal, Milos D. Radovic, N. Filipovic","doi":"10.1109/BIBE.2015.7367684","DOIUrl":"https://doi.org/10.1109/BIBE.2015.7367684","url":null,"abstract":"Cochlea is a part of the inner ear and it has complex anatomy and function. The proper functioning of the cochlea includes the generation of a traveling wave along the basilar membrane, which leads to depolarization of hair cells in the Organ of Corti and subsequent auditory nerve excitation (mechanoelectrical transduction). To represent the behavior of the organ of Corti, electro-mechanical cochlea model needs to be developed. This paper presents a simplified electro-mechanical state space model of the cochlea.","PeriodicalId":422807,"journal":{"name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125994885","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 : 2015-11-02DOI: 10.1109/BIBE.2015.7367716
S. Ćuković, Vanja Luković, Karupppasamy Subburaj, W. Birkfellner, D. Milosevic, B. Ristic, G. Devedžić
In this article we describe a 3D methodology to characterize dorsal surface for the diagnosis of idiopathic scoliosis and its implementation. This characterization is based on the set of external and internal parameters recommended by SOSORT consortium. Parameterized 3D model of the spine and 3D optical scans of dorsal surfaces are used to generate patient-specific surface model for the analysis. The methodology is implemented using Visual Basic Application (VBA) macros in a CAD environment to study relationship between dorsal and internal parameters of spinal deformities and 3D visualization.
{"title":"Automated SOSORT-recommended angles measurement in patients with adolescent idiopathic scoliosis","authors":"S. Ćuković, Vanja Luković, Karupppasamy Subburaj, W. Birkfellner, D. Milosevic, B. Ristic, G. Devedžić","doi":"10.1109/BIBE.2015.7367716","DOIUrl":"https://doi.org/10.1109/BIBE.2015.7367716","url":null,"abstract":"In this article we describe a 3D methodology to characterize dorsal surface for the diagnosis of idiopathic scoliosis and its implementation. This characterization is based on the set of external and internal parameters recommended by SOSORT consortium. Parameterized 3D model of the spine and 3D optical scans of dorsal surfaces are used to generate patient-specific surface model for the analysis. The methodology is implemented using Visual Basic Application (VBA) macros in a CAD environment to study relationship between dorsal and internal parameters of spinal deformities and 3D visualization.","PeriodicalId":422807,"journal":{"name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"7 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113943043","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 : 2015-11-02DOI: 10.1109/BIBE.2015.7367628
S. Roychoudhury, Mohamed F. Ghalwash, Z. Obradovic
High false alarm rates in intensive care units (ICUs) cause desensitization among care providers, thus risking patients' lives. Providing early detection of true and false cardiac arrhythmia alarms can alert hospital personnel and avoid alarm fatigue, so that they can act only on true life-threatening alarms, hence improving efficiency in ICUs. However, suppressing false alarms cannot be an excuse to suppress true alarm detection rates. In this study, we investigate a cost-sensitive approach for false alarm suppression while keeping near perfect true alarm detection rates. Our experiments on two life threatening cardiac arrhythmia datasets from Physionet's MIMIC II repository provide evidence that the proposed method is capable of identifying patterns that can distinguish false and true alarms using on average 60% of the available time series' length. Using temporal uncertainty estimates of time series predictions, we were able to estimate the confidence in our early classification predictions, therefore providing a cost-sensitive prediction model for ECG signal classification. The results from the proposed method are interpretable, providing medical personnel a visual verification of the predicted results. In conducted experiments, moderate false alarm suppression rates were achieved (34.29% for Asystole and 20.32% for Ventricular Tachycardia) while keeping near 100% true alarm detection, outperforming the state-of-the-art methods, which compromise true alarm detection rate for higher false alarm suppression rate, on these challenging applications.
{"title":"False alarm suppression in early prediction of cardiac arrhythmia","authors":"S. Roychoudhury, Mohamed F. Ghalwash, Z. Obradovic","doi":"10.1109/BIBE.2015.7367628","DOIUrl":"https://doi.org/10.1109/BIBE.2015.7367628","url":null,"abstract":"High false alarm rates in intensive care units (ICUs) cause desensitization among care providers, thus risking patients' lives. Providing early detection of true and false cardiac arrhythmia alarms can alert hospital personnel and avoid alarm fatigue, so that they can act only on true life-threatening alarms, hence improving efficiency in ICUs. However, suppressing false alarms cannot be an excuse to suppress true alarm detection rates. In this study, we investigate a cost-sensitive approach for false alarm suppression while keeping near perfect true alarm detection rates. Our experiments on two life threatening cardiac arrhythmia datasets from Physionet's MIMIC II repository provide evidence that the proposed method is capable of identifying patterns that can distinguish false and true alarms using on average 60% of the available time series' length. Using temporal uncertainty estimates of time series predictions, we were able to estimate the confidence in our early classification predictions, therefore providing a cost-sensitive prediction model for ECG signal classification. The results from the proposed method are interpretable, providing medical personnel a visual verification of the predicted results. In conducted experiments, moderate false alarm suppression rates were achieved (34.29% for Asystole and 20.32% for Ventricular Tachycardia) while keeping near 100% true alarm detection, outperforming the state-of-the-art methods, which compromise true alarm detection rate for higher false alarm suppression rate, on these challenging applications.","PeriodicalId":422807,"journal":{"name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133974123","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 : 2015-11-02DOI: 10.1109/BIBE.2015.7367720
Tomás Janák, J. Kohout
This paper will consider a framework for simulation of musculoskeletal system via mass-spring system as the target application. The framework uses a mass-spring systems to simulate the muscle fibres of each muscle and an additional triangle model to visually represent the surface of the muscles. This requires establishing some relationship between the two models so that when some nodes of the mass-spring model move, i.e. the object deforms, this deformation is correctly carried over to the visualization. Mean Value Coordinates are often used for this purpose. In this paper, we will present a simpler method that produces deformation that is visually similar to that by the Mean Value Coordinates while consuming less memory and time.
{"title":"An efficient mesh deformation method for mass-spring muscle models","authors":"Tomás Janák, J. Kohout","doi":"10.1109/BIBE.2015.7367720","DOIUrl":"https://doi.org/10.1109/BIBE.2015.7367720","url":null,"abstract":"This paper will consider a framework for simulation of musculoskeletal system via mass-spring system as the target application. The framework uses a mass-spring systems to simulate the muscle fibres of each muscle and an additional triangle model to visually represent the surface of the muscles. This requires establishing some relationship between the two models so that when some nodes of the mass-spring model move, i.e. the object deforms, this deformation is correctly carried over to the visualization. Mean Value Coordinates are often used for this purpose. In this paper, we will present a simpler method that produces deformation that is visually similar to that by the Mean Value Coordinates while consuming less memory and time.","PeriodicalId":422807,"journal":{"name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131292450","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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