Pub Date : 2022-09-16DOI: 10.1080/08940886.2022.2114716
A. Barbour, Stuart Campbell, T. Caswell, M. Fukuto, M. Hanwell, Andrew Kiss, T. Konstantinova, R. Laasch, Phillip M. Maffettone, Bruce Ravel, D. Olds
With the National Synchrotron Light Source II (NSLS-II) coming online in 2015 as the brightest source in the world, the imminent up-grades at the Advanced Photon Source, Advanced Light Source, and Linear Coherent Light Source, and advances in detector technology, the data generation rates at the U.S. Department of Energy (DOE) Basic Energy Sciences’ X-ray light sources are skyrocketing. At NSLS-II, over 1 petabyte of raw data was produced last year, and that rate is expected to increase as the facility matures [1]. Despite such huge data generation rates, approaches to both experimental control and data analysis have not kept pace. Consequently, data collected in seconds to minutes may take weeks to months of analysis to understand. Due to such limita-tions, knowledge extraction is often divorced from the measurement process. The lack of real-time feedback forces users into flying blind at the beamline, leading to missed opportunities, mistakes, and inefficient use of beamtime as a resource—as all beamlines are oversubscribed. This is a challenge facing nearly all users of light sources. One promising path forward to solve this challenge—both during data collection and post-experiment analysis—is the use of artificial intelligence (AI) and machine learning (ML) methods [1, 2]. In this contribution, we review recent developments employing AI/ML methods at the NSLS-II, tackling the
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Pub Date : 2022-09-13DOI: 10.1080/08940886.2022.2112499
V. Starostin, L. Pithan, Alessandro Greco, Valentin Munteanu, A. Gerlach, A. Hinderhofer, F. Schreiber
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Pub Date : 2022-09-09DOI: 10.1080/08940886.2022.2112496
Yuta Suzuki
Introduction Carbon neutrality and electrification of mobility are critical topics in today's industrial world as we increasingly focus on sustainable development goals. Since materials play a decisive role in solving this planet-scale challenge, rapid materials discovery through high-throughput materials synthesis and analysis is crucial to this task. Powder X-ray diffraction (XRD) patterns provide information on composition and crystal structure, which are essential characteristics of materials. Thus, XRD is one of the most fundamental analytical methods in materials research. Recent synchrotron radiation facilities can measure hundreds to thousands of XRD per day [1–3], and a large amount of XRD data is generated daily. Automated data analysis is being actively studied to cope with this tsunami of data [4, 5]. The data are being analyzed in a variety of ways. Especially in the past decade, automated data analysis methods using machine learning have made significant progress, backed by the large crystal structure databases and the dramatic development of machine learning techniques. These automated data analysis techniques enable fast and automated phase identification of XRD patterns, crystal structure analysis by Rietveld analysis, and prediction of material features from XRD patterns. This short commentary article briefly introduces recent advances in materials informatics (MI) on these topics.
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Pub Date : 2022-09-03DOI: 10.1080/08940886.2022.2135961
H. Wagner
So many of the conversations I have about synchrotron radiation focus on the future— on the ways in which cutting-edge research at facilities is revolutionizing science around the globe. But the extraordinary impact of our field also enables us to better understand our past, as beautifully explained with this issue’s focus on synchrotron radiation and cultural heritage. At the European Synchrotron Radiation Facility in Grenoble, the Extremely Brilliant Source (EBS) upgrade, as well as instrumental developments at new and strongly refurbished beamlines, are enabling groundbreaking capabilities in the study of natural and cultural heritage objects and materials. The BM18 beamline allows researchers to image larger and heavier samples at higher resolution and with a more efficient use of phase contrast imaging than anywhere in the world. The refurbished BM23 and ID24 XAS complex is also facilitating developments in the study of historical materials, especially for the characterization of diluted, complex, and heterogeneous materials. Two complementary XRPD-based techniques are increasingly being used by the cultural heritage community: high angular resolution X-ray powder diffraction (HR-XRPD) and micro X-ray powder diffraction (μXRPD) mapping. These two techniques were recently successfully combined to reveal different lead white qualities in old Masters paintings, as well as to identify a very unusual lead compound, plumbonacrite, in Rembrandt’s impastos. At Synchrotron SOLEIL, the application of synchrotron radiation to the study of heritage materials has been a focus from day one. The research at this facility is broadly concentrated into three categories: deciphering fossilization processes and the search for ancient biomolecules, understanding ancient societies and elaboration techniques, and determining alteration processes and developing conservation strategies. Using complementary tools and taking advantage of the tunability of the synchrotron source, scientists have been able to utilize advanced imaging techniques (especially in 3 D) to reveal unprecedented details of fossil shape, composition, and preservation of species. Especially fascinating is the use of synchrotron infrared spectroscopy to investigate varnish layers of Stradivari violins. In these experiments, the high spatial resolution of the synchrotron-IR beam allowed investigators to directly probe and identify the chemical composition of the different varnish layers and to compare them with hypotheses and traditional views, building much deeper understanding of the history of one of the world’s greatest instruments. In this issue, you’ll also find reports from the SRI 2021 meeting on synchrotron radiation instrumentation (held this year) and updates from a workshop focusing on the current landscape of state-of-the-art metrology needs for semiconductor manufacturing and associated challenges for the future of microelectronics. While these meetings were held virtually, they send
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Pub Date : 2022-09-03DOI: 10.1080/08940886.2022.2135932
W. Laasch, T. Tschentscher
After 40 years, the 14th International Conference on Synchrotron Radiation Instrumentation (SRI 2021) was back in Hamburg, Germany. But this time, it was held virtually. Organized by Deutsches Elektronen-Synchrotron (DESY) and the European XFEL, the SRI 2021 had originally been scheduled to take place inperson last summer. However, due to the pandemic, it was postponed until the spring of 2022 (see Figure 1). With the pandemic still not over, the organizers and the International Advisory Committee (IAC) of the SRI conference, chaired by Edgar Weckert (DESY) and Robert Feidenhans’l (EuXFEL), made the difficult decision not to postpone the conference again but to hold it online instead. So, from March 28 to April 1, 2022, more than 1,160 international participants met virtually. Every 3 years since 1982, scientists from all over the world have been meeting to discuss the latest developments in this conference. It is the prime forum for fostering connections between cutting-edge synchrotron radiation instrumentation, science, and the requirements of the user community. It also provides opportunities for discussion and collaborations among scientists and engineers from academia and industry around the world, especially those involved in the development of new concepts, techniques, and instruments related to interdisciplinary research. In nearly 290 talks and 450 posters, the latest results were presented. Participants from 25 countries all around the world attended the event. The main topics of the SRI conference were: new synchrotron radiation (SR) and free-electron laser (FEL) facilities, and the update plans of these facilities; different experimental techniques, such as X-ray scattering and spectroscopy, bioand scanning imaging, structural biology crystallography, coherent techniques, in-situ/operando methods and latest results; beamline innovations; novel X-ray optics; special sample environments; new detectors; data acquisition and data science; and industrial applications. These research areas that are in focus at the SRI conference have overall become much more diverse. Many new opportunities are emerging, in part due to the higher brilliance and coherence of the light sources, such as improved high-resolution X-ray imaging. Therefore, imaging was among the hot topics of the conference and was featured in the keynote talks as well. One of the keynote speakers, Francesco Sette from the European Synchrotron Radiation Facility (ESRF), gave a talk on the improved performance of the new ESRF-EBS, the 4th generation light source in Grenoble, France. As examples for new capabilities, he showed exciting images from the “Human Organ Project,” measured by hierarchical phasecontrast tomography. Imaging of the whole human body shall be collected at multiple anatomical levels on different length scales, ranging from organs to cells. In her keynote talk, Tais Gorkhover (Universität Hamburg, Germany) dealt with stateof-the-art nanoparticle imaging experimen
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Pub Date : 2022-09-03DOI: 10.1080/08940886.2022.2135946
Chang-Yong Nam, Y. S. Chu, Satyavolu S. Papa Rao, G. Carini
A workshop titled “Advanced Metrology Needs for Addressing Critical Microelectronics Challenges” was held during the virtual NSLS-II and CFN Joint Users’ Meeting at Brookhaven National Laboratory (BNL) on May 25, 2022. The workshop, consisting of facilities’ introductions by the organizers and seven invited talks from industry, academia, and national laboratories, provided a lively forum to discuss the current landscape of state-ofthe-art metrology needs for semiconductor manufacturing and associated challenges for the future of microelectronics. The workshop panel engaged in a discussion on the potential roles of national laboratories in addressing semiconductor metrology challenges, particularly BNL facilities, including the National Synchrotron Light Source II (NSLS-II), Center for Functional Nanomaterials (CFN), and Instrumentation Division. Dr. Satyavolu Papa Rao, vice president of research at NY CREATES, a non-profit affiliate corporation of the State University of New York (SUNY), delivered a keynote lecture providing an overview of NY CREATES and the Albany Nanotech Complex. He also discussed potential semiconductor research opportunities associated with the CHIPS Act and its National Semiconductor Technology Center (NSTC). Particularly addressed were the areas of heterogeneous integration, new materials, and advanced metrology, which are essential for enabling enhanced energy efficiency, connectivity, and ubiquity of future microelectronics. Dr. Papa Rao emphasized the potential roles of national laboratories and their user facilities such as synchrotron X-ray sources, stressing the need for easier user access for semiconductor research and wafer-scale, in-operando, and high-resolution metrology capabilities. Three workshop organizers gave brief overviews of the microelectronics capabilities at BNL. Dr. Yong Chu gave an overview of the nanoscale X-ray imaging capabilities of the NSLS-II. The key capabilities include nanoscale three-dimensional (3D) tomography and strain imaging, which are highly effective in visualizing the internal defects and strain field at the interface layers. Dr. Chang-Yong Nam described the CFN’s capabilities in structural metrology by electron microscopy and the development and characterization of new microelectronics materials, including extreme UV (EUV) photoresists and hybrid memristors. Also highlighted was the Quantum Materials Press (QPress), a machine-vision-assisted, automatic stacking system for two-dimensional (2D) material heterostructures, potentially critical for enabling next-generation devices beyond today’s cutting edge. Dr. Gabriella Carini gave
2022年5月25日，在布鲁克黑文国家实验室（BNL）举行的NSLS-II和CFN虚拟联合用户会议期间，举办了题为“应对关键微电子挑战的先进计量需求”的研讨会。研讨会由组织者对设施的介绍和来自工业界、学术界和国家实验室的七场受邀演讲组成，为讨论半导体制造的最新计量需求现状以及微电子未来的相关挑战提供了一个生动的论坛。研讨会小组讨论了国家实验室在应对半导体计量挑战方面的潜在作用，特别是BNL设施，包括国家同步加速器光源II（NSLS-II）、功能纳米材料中心（CFN）和仪器部门。纽约州立大学（SUNY）的非营利附属公司NY CREATES的研究副总裁Satyavolu Papa Rao博士发表了主题演讲，概述了纽约CREATES和奥尔巴尼纳米技术综合体。他还讨论了与《芯片法案》及其国家半导体技术中心（NSTC）相关的潜在半导体研究机会。特别关注的是异质集成、新材料和先进计量领域，这些领域对于提高能源效率、连通性和未来微电子的普遍性至关重要。Papa Rao博士强调了国家实验室及其用户设施（如同步加速器X射线源）的潜在作用，强调了用户更容易获得半导体研究和晶圆规模、操作和高分辨率计量能力的必要性。三位研讨会组织者简要介绍了BNL的微电子能力。朱勇博士概述了NSLS-II的纳米级X射线成像能力。关键功能包括纳米级三维（3D）断层扫描和应变成像，它们在可视化界面层的内部缺陷和应变场方面非常有效。Chang Yong Nam博士介绍了CFN在电子显微镜结构计量以及新型微电子材料（包括极紫外（EUV）光刻胶和混合忆阻器）的开发和表征方面的能力。量子材料出版社（QPress）也是一个亮点，这是一个用于二维（2D）材料异质结构的机器视觉辅助自动堆叠系统，对于实现超越当今尖端的下一代设备可能至关重要。Gabriella Carini医生
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Pub Date : 2022-09-03DOI: 10.1080/08940886.2022.2135958
M. Cotte, K. Dollman, Vincent Fernandez, Victor Gonzalez, F. Vanmeert, L. Monico, C. Dejoie, M. Burghammer, L. Huder, Stuart Fisher, W. de Nolf, Ida Fazlic, H. Castillo-Michel, M. Salomé, M. Ghirardello, D. Comelli, O. Mathon, P. Tafforeau
3 Technical RepoRT New Opportunities Offered by the ESRF to the Cultural and Natural Heritage Communities Marine Cotte,1,2 Kathleen DollMan,1 VinCent FernanDez,1 ViCtor Gonzalez,3 FreDeriK VanMeert,4,5 letizia MoniCo,6,7,4 Catherine Dejoie,1 ManFreD BurGhaMMer,1 loïC huDer,1 Stuart FiSher,1 Wout De nolF,1 iDa FazliC,1,8 hiraM CaStillo-MiChel,1 Murielle SaloMé,1 Marta GhirarDello,9 Daniela CoMelli,9 oliVier Mathon,1 anD Paul taFForeau1 1European Synchrotron Radiation Facility (ESRF), Grenoble, France 2Sorbonne Université, CNRS, Laboratoire d’Archéologie Moléculaire et Structurale (LAMS), Paris, France 3Université Paris-Saclay, ENS Paris-Saclay, CNRS, PPSM, Gif-sur-Yvette, France 4Antwerp X-ray Imaging and Spectroscopy Laboratory (AXIS) Research Group, NANOLab Centre of Excellence, University of Antwerp, Antwerp, Belgium 5Paintings Laboratory, Royal Institute for Cultural Heritage (KIK-IRPA), Brussels, Belgium 6CNR-SCITEC, Perugia, Italy 7Centre of Excellence SMAArt, University of Perugia, Perugia, Italy 8Science Department, Rijksmuseum, Amsterdam, The Netherlands 9Physics Department, Politecnico di Milano, Milano, Italy Introduction For the past 20 years, the community of heritage scientists has frequently exploited the synchrotron radiation-based techniques offered at the European Synchrotron Radiation Facility (ESRF), Grenoble, France [1]. X-ray imaging techniques (in particular, micro computedtomography, μCT) are regularly employed to probe non-destructively the inner structure of objects and materials. In paleontology, this can offer information on the functioning and evolution of organs and organisms. In addition, analytical techniques such as X-ray fluorescence (XRF), X-ray powder diffraction (XRPD), and X-ray absorption spectroscopy (XAS) are often used, alone or combined, for the chemical analysis of micro-fragments of historical manufactured materials. This can give clues about both the early days of objects (physical and chemical processes used in the production of artworks and the evolution of these skills in time and space) as well as the evolution/alteration of objects (nature of degradation products and environmental factors contributing to these degradations). The limited size of samples and their high heterogeneity often require access to micro and nano-probes. The new capabilities offered by the ESRF upgrade “EBS” (Extremely Brilliant Source), as well as instrumental developments at new and strongly refurbished beamlines, have motivated the organization of a dedicated “EBS-workshop” about cultural and natural heritage, which was held in January 2020 at the ESRF, attracting more than 150 participants, among which were 90 new ESRF users. Most of the talks were broadcast on the ESRF YouTube Channel and are still available (https:// youtube.com/playlist?list=PLsWatK2_NAmyyA0n03OMJMAKobVIvow2D). Through scientific presentations, tutorials, and discussions, the objectives of the workshop were: 1. To illustrate to expert and non-expert u
3技术报告ESRF为文化和自然遗产社区提供的新机会Marine Cotte，1,2 Kathleen DollMan，1 VinCent FernanDez，1 ViCtor Gonzalez，3 FreDeriK VanMeert，4,5 letizia MoniCo，6,7,4 Catherine Dejoie，1 ManFreD BurGhaMMer，1 loïC huDer，1 Stuart FiSher，1 Wout De nolF，1 iDa FazliC，1,8 hiraM CaStillo MiChel，1 Murielle SaloMé，1 Marta GhirarDello，9 Daniela CoMelli，9 oliVier Mathon，1 an d Paul taFForeau1 1欧洲同步辐射设施（ESRF），法国格勒诺布尔2索邦大学，CNRS，Moléculaire et Structurale建筑与结构实验室（LAMS），法国巴黎3巴黎萨克雷大学，ENS巴黎萨克雷，CNRS、PPSM，Gif sur Yvette，法国4安特卫普X射线成像与光谱实验室（AXIS）研究小组，NANOLab卓越中心，安特卫普大学，比利时安特卫普5涂料实验室，皇家文化遗产研究所（KIK-IRPA），比利时布鲁塞尔6CNR-SCITEC，意大利佩鲁贾7卓越中心SMAArt，佩鲁贾大学，意大利8科学系，荷兰阿姆斯特丹国立博物馆9物理系，米兰理工大学，意大利简介在过去的20年里，遗产科学家群体经常利用法国格勒诺布尔欧洲同步辐射设施（ESRF）提供的基于同步辐射的技术[1]。X射线成像技术（特别是微机断层扫描，μCT）经常用于无损探测物体和材料的内部结构。在古生物学中，这可以提供关于器官和生物体的功能和进化的信息。此外，分析技术，如X射线荧光（XRF）、X射线粉末衍射（XRPD）和X射线吸收光谱（XAS），经常单独或组合用于历史制造材料的微小碎片的化学分析。这可以为物体的早期（艺术品生产中使用的物理和化学过程以及这些技能在时间和空间上的演变）以及物体的演变/改变（降解产物的性质和导致这些降解的环境因素）提供线索。样品的有限尺寸及其高度异质性通常需要使用微米和纳米探针。ESRF升级版“EBS”（极亮光源）提供的新功能，以及新的和经过强烈翻新的光束线的仪器开发，促使组织了一个关于文化和自然遗产的专门“EBS研讨会”，该研讨会于2020年1月在ESRF举行，吸引了150多名参与者，其中包括90名ESRF新用户。大部分演讲都在ESRF YouTube频道上播出，现在仍然可以观看（https://YouTube.com/playlist？list=PLsWatK2_NAMEyA0n03OMJMAKobVIvow2D）。通过科学演示、教程和讨论，研讨会的目标是：1。向专家和非专家用户说明基于同步辐射的技术为研究自然和文化遗产材料/物体提供的许多能力；2.介绍EBS和相关仪器的发展，强调ESRF升级阶段2将提供的突破性能力（得益于新的源、新的波束线和新的仪器）；3.介绍和讨论与这些新仪器相关的上游和下游挑战（例如，访问模型和数据分析、数据管理……），这些挑战是实验成功的基础。值得注意的是，这是讨论新波束时间接入模式实现的一个非常好的机会。
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Pub Date : 2022-09-03DOI: 10.1080/08940886.2022.2135959
S. Reguer, S. Schöder, D. Vantelon, T. Weitkamp, J. Rueff, F. Berenguer, Andrew King, F. Jamme, M. Hunault, M. Silly, N. Trcera, M. Réfrégiers
Vol. 35, No. 5, 2022, Synchrotron radiation newS Technical RepoRT Fifteen Years of Study of Cultural and Natural Heritage Materials at SOLEIL Solenn RegueR,1 SebaStian SchödeR,1 delphine Vantelon,1 timm Weitkamp,1 Jean-paScal Rueff,1 feliSa beRengueR,1 andReW king,1 fRedeRic Jamme,1 myRtille o. J. y. hunault,1 mathieu g. Silly,1 nicolaS tRceRa,1 and matthieu RefRegieRS2 1Synchrotron SOLEIL, Saint-Aubin, France 2Centre de Biophysique Moléculaire (CBM), Orléans, France
第35卷，2022年第5期，同步辐射新技术报告SOLEIL Solenn RegueR文化和自然遗产材料研究十五年，1 SebaStian SchödeR，1 delphine Vantelon，1 timm Weitkamp，1 Jean-paScal Rueff，1 feliSa beRengueR，1 andReW king，1 fRedeRic Jamme，1 myRtille o.J.y.hunault，1 mathieu g.Silly，1 nicolaS tRceRa，1 and mathieu RefRegieRS2 1Synchrotron SOLEIL，法国圣奥宾2 Moléculaire生物物理中心（CBM），法国奥尔良
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Pub Date : 2022-09-01DOI: 10.1080/08940886.2022.2112497
T. Ueno, H. Iwasawa
3 Feature article Measurement Informatics in Synchrotron Radiation X-Ray Spectroscopy TeTsuro ueno,1,2 and Hideaki iwasawa1,2,3 1Kansai Photon Science Institute, National Institutes for Quantum Science and Technology, Sayo, Japan 2QST Advanced Study Laboratory, National Institutes for Quantum Science and Technology, Chiba, Japan 3Institute for Advanced Synchrotron Light Source, National Institutes for Quantum Science and Technology, Sendai, Japan
{"title":"Measurement Informatics in Synchrotron Radiation X-Ray Spectroscopy","authors":"T. Ueno, H. Iwasawa","doi":"10.1080/08940886.2022.2112497","DOIUrl":"https://doi.org/10.1080/08940886.2022.2112497","url":null,"abstract":"3 Feature article Measurement Informatics in Synchrotron Radiation X-Ray Spectroscopy TeTsuro ueno,1,2 and Hideaki iwasawa1,2,3 1Kansai Photon Science Institute, National Institutes for Quantum Science and Technology, Sayo, Japan 2QST Advanced Study Laboratory, National Institutes for Quantum Science and Technology, Chiba, Japan 3Institute for Advanced Synchrotron Light Source, National Institutes for Quantum Science and Technology, Sendai, Japan","PeriodicalId":39020,"journal":{"name":"Synchrotron Radiation News","volume":"35 1","pages":"3 - 8"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45894876","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 : 2022-09-01Epub Date: 2022-06-27DOI: 10.1111/tgis.12953
Daniel Runfola, Heather Baier, Laura Mills, Maeve Naughton-Rockwell, Anthony Stefanidis
Human migratory decisions are driven by a wide range of factors, including economic and environmental conditions, conflict, and evolving social dynamics. These factors are reflected in disparate data sources, including household surveys, satellite imagery, and even news and social media. Here, we present a deep learning-based data fusion technique integrating satellite and census data to estimate migratory flows from Mexico to the United States. We leverage a three-stage approach, in which we (1) construct a matrix-based representation of socioeconomic information for each municipality in Mexico, (2) implement a convolutional neural network with both satellite imagery and the constructed socioeconomic matrix, and (3) use the output vectors of information to estimate migratory flows. We find that this approach outperforms alternatives by approximately 10% (r2), suggesting multi-modal data fusion provides a valuable pathway forward for modeling migratory processes.
{"title":"Deep learning fusion of satellite and social information to estimate human migratory flows.","authors":"Daniel Runfola, Heather Baier, Laura Mills, Maeve Naughton-Rockwell, Anthony Stefanidis","doi":"10.1111/tgis.12953","DOIUrl":"10.1111/tgis.12953","url":null,"abstract":"<p><p>Human migratory decisions are driven by a wide range of factors, including economic and environmental conditions, conflict, and evolving social dynamics. These factors are reflected in disparate data sources, including household surveys, satellite imagery, and even news and social media. Here, we present a deep learning-based data fusion technique integrating satellite and census data to estimate migratory flows from Mexico to the United States. We leverage a three-stage approach, in which we (1) construct a matrix-based representation of socioeconomic information for each municipality in Mexico, (2) implement a convolutional neural network with both satellite imagery and the constructed socioeconomic matrix, and (3) use the output vectors of information to estimate migratory flows. We find that this approach outperforms alternatives by approximately 10% (<i>r</i> <sup>2</sup>), suggesting multi-modal data fusion provides a valuable pathway forward for modeling migratory processes.</p>","PeriodicalId":39020,"journal":{"name":"Synchrotron Radiation News","volume":"30 1","pages":"2495-2518"},"PeriodicalIF":2.1,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645578/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91170845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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