Pub Date : 2024-03-01DOI: 10.22369/issn.2153-4136/15/1/2
Mohammad Hadi Yazdani, Paulo S Branicio, Ken-ichi Nomura
{"title":"Benchmarking Machine Learning Models on a Dielectric Constant Database for Bandgap Prediction","authors":"Mohammad Hadi Yazdani, Paulo S Branicio, Ken-ichi Nomura","doi":"10.22369/issn.2153-4136/15/1/2","DOIUrl":"https://doi.org/10.22369/issn.2153-4136/15/1/2","url":null,"abstract":"","PeriodicalId":330804,"journal":{"name":"The Journal of Computational Science Education","volume":"28 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140084355","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 : 2024-03-01DOI: 10.22369/issn.2153-4136/15/1/5
Amir Raoofy, Bengisu Elis, Vincent Bode, Minh Thanh Chung, Sergej Breiter, Maron Schlemon, Dennis-Florian Herr, Karl Fuerlinger, Martin Schulz, Josef Weidendorfer
Giving students a good understanding how micro-architectural effects impact achievable performance of HPC workloads is essential for their education. It enables them to find effective optimization strategies and to reason about sensible approaches towards better efficiency. This paper describes a lab course held in collaboration between LRZ, LMU, and TUM. The course was born with a dual motivation in mind: filling a gap in educating students to become HPC experts, as well as understanding the stability and usability of emerging HPC programming models for recent CPU and GPU architectures with the help of students. We describe the course structure used to achieve these goals, resources made available to attract students, and experiences and statistics from running the course for six semesters. We conclude with an assessment of how successfully the lab course met the initially set vision.
让学生充分了解微架构效应如何影响高性能计算工作负载的可实现性能，对他们的教育至关重要。这使他们能够找到有效的优化策略，并推理出提高效率的合理方法。本文介绍了 LRZ、LMU 和 TUM 合作开设的实验课程。该课程的诞生具有双重动机：填补教育学生成为高性能计算专家方面的空白，以及在学生的帮助下了解针对最新 CPU 和 GPU 架构的新兴高性能计算编程模型的稳定性和可用性。我们介绍了为实现这些目标而采用的课程结构、为吸引学生而提供的资源，以及课程运行六个学期以来的经验和统计数据。最后，我们将评估实验课程在多大程度上成功实现了最初设定的愿景。
{"title":"BEAST Lab: A Practical Course on Experimental Evaluation of Diverse Modern HPC Architectures and Accelerators","authors":"Amir Raoofy, Bengisu Elis, Vincent Bode, Minh Thanh Chung, Sergej Breiter, Maron Schlemon, Dennis-Florian Herr, Karl Fuerlinger, Martin Schulz, Josef Weidendorfer","doi":"10.22369/issn.2153-4136/15/1/5","DOIUrl":"https://doi.org/10.22369/issn.2153-4136/15/1/5","url":null,"abstract":"Giving students a good understanding how micro-architectural effects impact achievable performance of HPC workloads is essential for their education. It enables them to find effective optimization strategies and to reason about sensible approaches towards better efficiency. This paper describes a lab course held in collaboration between LRZ, LMU, and TUM. The course was born with a dual motivation in mind: filling a gap in educating students to become HPC experts, as well as understanding the stability and usability of emerging HPC programming models for recent CPU and GPU architectures with the help of students. We describe the course structure used to achieve these goals, resources made available to attract students, and experiences and statistics from running the course for six semesters. We conclude with an assessment of how successfully the lab course met the initially set vision.","PeriodicalId":330804,"journal":{"name":"The Journal of Computational Science Education","volume":"42 34","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140276463","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 : 2024-03-01DOI: 10.22369/issn.2153-4136/15/1/10
Mary Ann Leung, Katharine Cahill, R. Hartman-Baker, Paige Kinsley, Lois Curfman McInnes, Suzanne Parete-Koon, Sreeranjani Ramprakash, Subil Abraham, Lacy Beach Barrier, Gladys Chen, Lizanne DeStefano, Scott Feister, Sam Foreman, Daniel Foreman, Daniel Fulton, Lipi Gupta, Yun He, A. J. Figueroa, Murat Keceli, Talia Capozzoli Kessler, Kellen Leland, Charles Lively, Keisha Moore, Wilbur Ouma, Michael Sandoval, Rollin Thomas, Á. Vázquez-Mayagoitia
The U.S. Department of Energy (DOE) is a long-standing leader in research and development of high-performance computing (HPC) in the pursuit of science. However, we face daunting challenges in fostering a robust and diverse HPC workforce. Basic HPC is
{"title":"Intro to HPC Bootcamp: Engaging New Communities Through Energy Justice Projects","authors":"Mary Ann Leung, Katharine Cahill, R. Hartman-Baker, Paige Kinsley, Lois Curfman McInnes, Suzanne Parete-Koon, Sreeranjani Ramprakash, Subil Abraham, Lacy Beach Barrier, Gladys Chen, Lizanne DeStefano, Scott Feister, Sam Foreman, Daniel Foreman, Daniel Fulton, Lipi Gupta, Yun He, A. J. Figueroa, Murat Keceli, Talia Capozzoli Kessler, Kellen Leland, Charles Lively, Keisha Moore, Wilbur Ouma, Michael Sandoval, Rollin Thomas, Á. Vázquez-Mayagoitia","doi":"10.22369/issn.2153-4136/15/1/10","DOIUrl":"https://doi.org/10.22369/issn.2153-4136/15/1/10","url":null,"abstract":"The U.S. Department of Energy (DOE) is a long-standing leader in research and development of high-performance computing (HPC) in the pursuit of science. However, we face daunting challenges in fostering a robust and diverse HPC workforce. Basic HPC is","PeriodicalId":330804,"journal":{"name":"The Journal of Computational Science Education","volume":"174 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140274550","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 : 2024-03-01DOI: 10.22369/issn.2153-4136/15/1/12
Elizabeth Bautista, Nitin Sukhija
{"title":"Data Analytics Program in Community Colleges in Preparation for STEM and HPC Careers","authors":"Elizabeth Bautista, Nitin Sukhija","doi":"10.22369/issn.2153-4136/15/1/12","DOIUrl":"https://doi.org/10.22369/issn.2153-4136/15/1/12","url":null,"abstract":"","PeriodicalId":330804,"journal":{"name":"The Journal of Computational Science Education","volume":"116 47","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140088296","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 : 2024-03-01DOI: 10.22369/issn.2153-4136/15/1/4
Aurelio Vivas, Carlos E. Alvarez, Jose M Monsalve Diaz, Esteban Hernandez, Juan G. Lalinde-Pulido, Harold Castro
High-performance computing (HPC) is an important tool for research, development, and the industry. Moreover, with the recent expansion of machine learning applications, the need for HPC is increasing even further. However, in developing countries with limited access to the HPC ecosystem, the lack of infrastructure, expertise, and access to knowledge represents a major obstacle to the expansion of HPC. Under these constraints, the adoption of HPC by communities presents several challenges. The HPC Summer Schools are an initiative of CyberColombia that has taken place over the past 5 years. It aims to develop the critical skills, strategic planning, and networking required to make available, disseminate, and maintain the knowledge of high-performance computing and its applications in Colombia. Here we report the results of this series of Summer Schools. The events have proven to be successful, with over 200 participants from more than 20 institutions. Participants span different levels of expertise, including undergraduate and graduate students as well as professionals. We also describe successful use cases for HPC cloud solutions, namely Chameleon Cloud.
{"title":"Expanding Horizons: Advancing HPC Education in Colombia through CyberColombia's Summer Schools","authors":"Aurelio Vivas, Carlos E. Alvarez, Jose M Monsalve Diaz, Esteban Hernandez, Juan G. Lalinde-Pulido, Harold Castro","doi":"10.22369/issn.2153-4136/15/1/4","DOIUrl":"https://doi.org/10.22369/issn.2153-4136/15/1/4","url":null,"abstract":"High-performance computing (HPC) is an important tool for research, development, and the industry. Moreover, with the recent expansion of machine learning applications, the need for HPC is increasing even further. However, in developing countries with limited access to the HPC ecosystem, the lack of infrastructure, expertise, and access to knowledge represents a major obstacle to the expansion of HPC. Under these constraints, the adoption of HPC by communities presents several challenges. The HPC Summer Schools are an initiative of CyberColombia that has taken place over the past 5 years. It aims to develop the critical skills, strategic planning, and networking required to make available, disseminate, and maintain the knowledge of high-performance computing and its applications in Colombia. Here we report the results of this series of Summer Schools. The events have proven to be successful, with over 200 participants from more than 20 institutions. Participants span different levels of expertise, including undergraduate and graduate students as well as professionals. We also describe successful use cases for HPC cloud solutions, namely Chameleon Cloud.","PeriodicalId":330804,"journal":{"name":"The Journal of Computational Science Education","volume":"495 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140274909","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 : 2024-03-01DOI: 10.22369/issn.2153-4136/15/1/8
S. Mehringer, Mary P. Thomas, Kate Cahill, Charlie Dey, David Joiner, Richard Knepper, John-Paul Navarro, Jeaime H. Powell
Throughout the cyberinfrastructure community there are a large range of resources available to train faculty and young scholars about successful utilization of computational resources for research. The challenge that the community faces is that training materials abound, but they can be difficult to find, and often have little information about the quality or relevance of offerings. Building on existing software technology, we propose to build a way for the community to better share and find training and education materials through a federated training repository. In this scenario, organizations and authors retain physical and legal ownership of their materials by sharing only catalog information, organizations can refine local portals to use the best and most appropriate materials from both local and remote sources, and learners can take advantage of materials that are reviewed and described more clearly. In this paper, we introduce the HPC ED pilot project, a federated training repository that is designed to allow resource providers, campus portals, schools, and other institutions to both incorporate training from multiple sources into their own familiar interfaces and to publish their local training materials.
在整个网络基础设施领域，有大量资源可用于培训教师和年轻学者如何成功利用计算资源开展研究。该社区面临的挑战是，培训材料比比皆是，但却很难找到，而且通常很少有关于培训质量或相关性的信息。在现有软件技术的基础上，我们建议建立一个联合培训资源库，让社区更好地共享和查找培训和教育材料。在这种情况下，组织和作者只需共享目录信息，就能保留其材料的物理和法律所有权；组织可以完善本地门户，使用本地和远程来源的最佳和最合适的材料；学习者可以利用经过审核和描述更清晰的材料。在本文中，我们将介绍高性能计算 ED 试点项目，这是一个联合培训资源库，旨在让资源提供者、校园门户、学校和其他机构既能将多种来源的培训纳入自己熟悉的界面，又能发布本地培训材料。
{"title":"Scaling HPC Education","authors":"S. Mehringer, Mary P. Thomas, Kate Cahill, Charlie Dey, David Joiner, Richard Knepper, John-Paul Navarro, Jeaime H. Powell","doi":"10.22369/issn.2153-4136/15/1/8","DOIUrl":"https://doi.org/10.22369/issn.2153-4136/15/1/8","url":null,"abstract":"Throughout the cyberinfrastructure community there are a large range of resources available to train faculty and young scholars about successful utilization of computational resources for research. The challenge that the community faces is that training materials abound, but they can be difficult to find, and often have little information about the quality or relevance of offerings. Building on existing software technology, we propose to build a way for the community to better share and find training and education materials through a federated training repository. In this scenario, organizations and authors retain physical and legal ownership of their materials by sharing only catalog information, organizations can refine local portals to use the best and most appropriate materials from both local and remote sources, and learners can take advantage of materials that are reviewed and described more clearly. In this paper, we introduce the HPC ED pilot project, a federated training repository that is designed to allow resource providers, campus portals, schools, and other institutions to both incorporate training from multiple sources into their own familiar interfaces and to publish their local training materials.","PeriodicalId":330804,"journal":{"name":"The Journal of Computational Science Education","volume":"102 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140279909","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 : 2024-03-01DOI: 10.22369/issn.2153-4136/15/1/1
Wirawan Purwanto, Bahador Dodge, K. Arcaute, M. Sosonkina, Hongyi Wu
The Data-Enabled Advanced Computational Training Program for Cybersecurity Research and Education (DeapSECURE) is a non-degree training consisting of six modules covering a broad range of cyberinfrastructure techniques, including high performance computing, big data, machine learning and advanced cryptography, aimed at reducing the gap between current cybersecurity curricula and requirements needed for advanced research and industrial projects. Since 2020, these lesson modules have been updated and retooled to suit fully-online delivery. Hands-on activities were refor-matted to accommodate self-paced learning. In this paper, we summarize the four years of the project comparing in-person and on-line only instruction methods as well as outlining lessons learned. The module content and hands-on materials are being released as open-source educational resources. We also indicate our future direction to scale up and increase adoption of the DeapSECURE training program to benefit cybersecurity research everywhere.
{"title":"DeapSECURE Computational Training for Cybersecurity: Progress Toward Widespread Community Adoption","authors":"Wirawan Purwanto, Bahador Dodge, K. Arcaute, M. Sosonkina, Hongyi Wu","doi":"10.22369/issn.2153-4136/15/1/1","DOIUrl":"https://doi.org/10.22369/issn.2153-4136/15/1/1","url":null,"abstract":"The Data-Enabled Advanced Computational Training Program for Cybersecurity Research and Education (DeapSECURE) is a non-degree training consisting of six modules covering a broad range of cyberinfrastructure techniques, including high performance computing, big data, machine learning and advanced cryptography, aimed at reducing the gap between current cybersecurity curricula and requirements needed for advanced research and industrial projects. Since 2020, these lesson modules have been updated and retooled to suit fully-online delivery. Hands-on activities were refor-matted to accommodate self-paced learning. In this paper, we summarize the four years of the project comparing in-person and on-line only instruction methods as well as outlining lessons learned. The module content and hands-on materials are being released as open-source educational resources. We also indicate our future direction to scale up and increase adoption of the DeapSECURE training program to benefit cybersecurity research everywhere.","PeriodicalId":330804,"journal":{"name":"The Journal of Computational Science Education","volume":"7 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140269920","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 : 2024-03-01DOI: 10.22369/issn.2153-4136/15/1/13
Bryan Johnston, Lara Timm, Eugene de Beste, Mabatho Hashatsi
{"title":"Let's Get Our Heads Out of the Clouds: A scalable and sustainable approach to HPC Training Labs for Resource Constrained Environments and anyone else stuck in the Clouds","authors":"Bryan Johnston, Lara Timm, Eugene de Beste, Mabatho Hashatsi","doi":"10.22369/issn.2153-4136/15/1/13","DOIUrl":"https://doi.org/10.22369/issn.2153-4136/15/1/13","url":null,"abstract":"","PeriodicalId":330804,"journal":{"name":"The Journal of Computational Science Education","volume":"378 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140280239","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 : 2024-03-01DOI: 10.22369/issn.2153-4136/15/1/9
Weronika Filinger, Jeremy Cohen
The “Understanding the Skills and Pathways Behind Research Software Training” BoF session run at ISC’23 provided an opportunity to bring together a group of attendees interested in approaches to enhance skills within the Research Software Engineering community. This included looking at options for understanding and developing pathways that practitioners can follow to develop their skills and competencies in a structured manner from beginner to advanced level. Questions discussed included: How can we high-light the existence of different training opportunities and ensure awareness and uptake? What materials already exist and what’s missing? How do we navigate this largely undefined landscape? In short: how does one train to become an RSE? One of the interactive parts of this session was based around a live, anonymous survey. Participants were asked a number of questions ranging from their role in the training community to how easy they feel it is to find/access training content targeting different skill levels. They were also asked about challenges faced in accessing relevant content, combining it into a coherent pathway, and linking training content from different sources. Other questions focused on discoverability of material and skills that are most commonly overlooked. The number of respondents and responses varied between questions, with 24 to 50 participants engaging and providing 32 to 59 replies. The goal of this lightning talk is to present findings, within the context of the community wide effort to make the training materials more FAIR - findable, accessible, interoperable and reusable.
{"title":"Understanding Community Perspectives on HPC Skills and Training Pathways","authors":"Weronika Filinger, Jeremy Cohen","doi":"10.22369/issn.2153-4136/15/1/9","DOIUrl":"https://doi.org/10.22369/issn.2153-4136/15/1/9","url":null,"abstract":"The “Understanding the Skills and Pathways Behind Research Software Training” BoF session run at ISC’23 provided an opportunity to bring together a group of attendees interested in approaches to enhance skills within the Research Software Engineering community. This included looking at options for understanding and developing pathways that practitioners can follow to develop their skills and competencies in a structured manner from beginner to advanced level. Questions discussed included: How can we high-light the existence of different training opportunities and ensure awareness and uptake? What materials already exist and what’s missing? How do we navigate this largely undefined landscape? In short: how does one train to become an RSE? One of the interactive parts of this session was based around a live, anonymous survey. Participants were asked a number of questions ranging from their role in the training community to how easy they feel it is to find/access training content targeting different skill levels. They were also asked about challenges faced in accessing relevant content, combining it into a coherent pathway, and linking training content from different sources. Other questions focused on discoverability of material and skills that are most commonly overlooked. The number of respondents and responses varied between questions, with 24 to 50 participants engaging and providing 32 to 59 replies. The goal of this lightning talk is to present findings, within the context of the community wide effort to make the training materials more FAIR - findable, accessible, interoperable and reusable.","PeriodicalId":330804,"journal":{"name":"The Journal of Computational Science Education","volume":"110 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140272496","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 : 2023-11-01DOI: 10.22369/issn.2153-4136/14/2/5
Dhruva K. Chakravorty, Richard Lawrence, Zhenhua He, Wesley Brashear, Honggao Liu, Andrew J. Palughi, Lisa M. Perez, Xin Yang, Jacob Pavelka, Ritika Mendjoge, Marinus Pennings, Randy McDonald, Gerry Pedraza, S. Palsole
In response to an increasing demand for digital skills in industry and academia, a series of credentialed short courses that cover a variety of topics related to high performance computing were designed and implemented to enable university students and researchers to effectively utilize research computing resources and bridge the gap for users with educational backgrounds that do not include computational training. The courses cover a diverse array of topics, including subjects in programming, cybersecurity, artificial intelligence/machine learning, bioinformatics
{"title":"Access to Computing Education Using Micro-credentials for Cyberinfrastructure","authors":"Dhruva K. Chakravorty, Richard Lawrence, Zhenhua He, Wesley Brashear, Honggao Liu, Andrew J. Palughi, Lisa M. Perez, Xin Yang, Jacob Pavelka, Ritika Mendjoge, Marinus Pennings, Randy McDonald, Gerry Pedraza, S. Palsole","doi":"10.22369/issn.2153-4136/14/2/5","DOIUrl":"https://doi.org/10.22369/issn.2153-4136/14/2/5","url":null,"abstract":"In response to an increasing demand for digital skills in industry and academia, a series of credentialed short courses that cover a variety of topics related to high performance computing were designed and implemented to enable university students and researchers to effectively utilize research computing resources and bridge the gap for users with educational backgrounds that do not include computational training. The courses cover a diverse array of topics, including subjects in programming, cybersecurity, artificial intelligence/machine learning, bioinformatics","PeriodicalId":330804,"journal":{"name":"The Journal of Computational Science Education","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139301188","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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