Pub Date : 2025-03-01Epub Date: 2025-01-02DOI: 10.1016/j.simpa.2024.100734
Denis Khimin, Marc Christian Steinbach, Thomas Wick
This codebase is developed to address optimal control problems in phase-field fracture, aiming to achieve a desired fracture pattern in brittle materials through the application of external forces. Built alongside our recent work (Khimin et al., 2022), this framework provides an efficient and precise approach for simulating space–time phase-field optimal control problems. In this setup, the fracture is controlled via Neumann boundary conditions, with the cost functional designed to minimize the difference between the actual and desired fracture states. The implementation relies on the open-source libraries DOpElib (Goll et al., 2017) and deal.II (Arndt et al. [1], [2])
这个代码库是为了解决相场断裂的最优控制问题而开发的，旨在通过施加外力来实现脆性材料的理想断裂模式。该框架与我们最近的工作（Khimin et al., 2022）一起构建，为模拟时空相场最优控制问题提供了一种有效而精确的方法。在这种设置中，裂缝是通过Neumann边界条件控制的，成本函数的设计是为了最小化实际和期望的裂缝状态之间的差异。实现依赖于开源库DOpElib （Goll et al., 2017）和deal。II （Arndt et al. [1], [2]）
{"title":"pff-oc: A space–time phase-field fracture optimal control framework","authors":"Denis Khimin, Marc Christian Steinbach, Thomas Wick","doi":"10.1016/j.simpa.2024.100734","DOIUrl":"10.1016/j.simpa.2024.100734","url":null,"abstract":"<div><div>This codebase is developed to address optimal control problems in phase-field fracture, aiming to achieve a desired fracture pattern in brittle materials through the application of external forces. Built alongside our recent work (Khimin et al., 2022), this framework provides an efficient and precise approach for simulating space–time phase-field optimal control problems. In this setup, the fracture is controlled via Neumann boundary conditions, with the cost functional designed to minimize the difference between the actual and desired fracture states. The implementation relies on the open-source libraries DOpElib (Goll et al., 2017) and deal.II (Arndt et al. <span><span>[1]</span></span>, <span><span>[2]</span></span>)</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"23 ","pages":"Article 100734"},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143139898","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}
Pub Date : 2025-03-01Epub Date: 2024-12-13DOI: 10.1016/j.simpa.2024.100729
Roland Allart , Aude Alaphilippe , Marta Carpani , Nicolas Cavan , Hervé Monod , Jacques-Eric Bergez
DEXi is a software for developing qualitative hierarchical models. Widely used in the French agriculture sector to analyze the sustainability of farming systems, the sensitivity analyses of the models are still missing. The dexisensitivity R package performs such sensitivity analyses. Written using R S4 Object programming, it performs basic functions (reads DEXi models, describes and draws the models, generates and simulates scenarios) and other functions to perform different types of sensitivity analyses: analysis of variance, One-At-A-Time, sensitivity indexes using the Shapiro-Shapley approach… The dexisensitivity R package is distributed under the GPL license and is accessible from CRAN and GitHub.
{"title":"dexisensitivity: An R package to perform sensitivity analyses of DEXi models","authors":"Roland Allart , Aude Alaphilippe , Marta Carpani , Nicolas Cavan , Hervé Monod , Jacques-Eric Bergez","doi":"10.1016/j.simpa.2024.100729","DOIUrl":"10.1016/j.simpa.2024.100729","url":null,"abstract":"<div><div>DEXi is a software for developing qualitative hierarchical models. Widely used in the French agriculture sector to analyze the sustainability of farming systems, the sensitivity analyses of the models are still missing. The <em>dexisensitivity</em> R package performs such sensitivity analyses. Written using R S4 Object programming, it performs basic functions (reads DEXi models, describes and draws the models, generates and simulates scenarios) and other functions to perform different types of sensitivity analyses: analysis of variance, One-At-A-Time, sensitivity indexes using the Shapiro-Shapley approach… The <em>dexisensitivity</em> R package is distributed under the GPL license and is accessible from CRAN and GitHub.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"23 ","pages":"Article 100729"},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143139886","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}
Pub Date : 2025-03-01Epub Date: 2024-12-05DOI: 10.1016/j.simpa.2024.100727
Francisco M. García, Santiago Schez-Sobrino, Carlos Glez-Morcillo, José J. Castro-Schez, Javier A. Albusac, David Vallejo
This paper presents RTC-MR, a real-time communications framework designed for integrating WebRTC into Mixed Reality (MR) environments, particularly optimised for Microsoft HoloLens 2™. By reducing the complexity associated with WebRTC implementation, our proposal aims to simplify the creation of custom applications that demand real-time audiovisual interaction. Beyond facilitating the development of MR applications, RTC-MR provides a valuable resource for both developers and researchers interested in exploring the full potential of MR in remote support scenarios and various other applications.
{"title":"RTC-MR: A WebRTC-based framework for real-time communication in Mixed Reality","authors":"Francisco M. García, Santiago Schez-Sobrino, Carlos Glez-Morcillo, José J. Castro-Schez, Javier A. Albusac, David Vallejo","doi":"10.1016/j.simpa.2024.100727","DOIUrl":"10.1016/j.simpa.2024.100727","url":null,"abstract":"<div><div>This paper presents RTC-MR, a real-time communications framework designed for integrating WebRTC into Mixed Reality (MR) environments, particularly optimised for Microsoft HoloLens 2™. By reducing the complexity associated with WebRTC implementation, our proposal aims to simplify the creation of custom applications that demand real-time audiovisual interaction. Beyond facilitating the development of MR applications, RTC-MR provides a valuable resource for both developers and researchers interested in exploring the full potential of MR in remote support scenarios and various other applications.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"23 ","pages":"Article 100727"},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143139892","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}
This paper presents HoughVG (Hough transform on Virtual Grid), a toolbox that improves on the Hough transform method, originally developed in 1962, by optimizing it for straight line detection and fingerprint recognition. Drawing on innovative approaches such as the rectangular, triangular, hexagonal and octagonal Hough transforms, as well as the generalized Hough transform, HoughVG significantly improves detection accuracy and processing speed. The toolbox is designed with a modular architecture, offering both sequential and parallelized functions. HoughVG’s test results indicate its potential impact on various fields, from academic research to industrial applications, while taking into account the limitations associated with pattern detection and parameter tuning.
{"title":"HoughVG:Hough Transform Toolbox for Straight-Line Detection and Fingerprint Recognition","authors":"Moïse Ouedraogo , Abdoulaye Sere , Cheick Amed Diloma Gabriel Traore","doi":"10.1016/j.simpa.2024.100709","DOIUrl":"10.1016/j.simpa.2024.100709","url":null,"abstract":"<div><div>This paper presents HoughVG (Hough transform on Virtual Grid), a toolbox that improves on the Hough transform method, originally developed in 1962, by optimizing it for straight line detection and fingerprint recognition. Drawing on innovative approaches such as the rectangular, triangular, hexagonal and octagonal Hough transforms, as well as the generalized Hough transform, HoughVG significantly improves detection accuracy and processing speed. The toolbox is designed with a modular architecture, offering both sequential and parallelized functions. HoughVG’s test results indicate its potential impact on various fields, from academic research to industrial applications, while taking into account the limitations associated with pattern detection and parameter tuning.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"22 ","pages":"Article 100709"},"PeriodicalIF":1.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142434237","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}
Pub Date : 2024-11-01Epub Date: 2024-10-18DOI: 10.1016/j.simpa.2024.100704
S. Bonduà , S. Focaccia , M. Elkarmoty
Rock masses are naturally affected by discontinuities, joints and fractures that affect their exploitation. After block extraction, different cutting pattern can produce different recovery ratio of the block. The optimization of the cutting pattern can be computed if the discontinuities are mapped by the use of non-destructive methods. We propose a software code able to compute the number of intersected slabs by different cuttings scenarios. The algorithm adopts a brute force computation of several scenarios as specified by the user. The software uses the Open MP library in order to reduce computation time.
岩块天然存在不连续面、节理和裂缝，这些都会影响岩块的开采。岩块开采后，不同的切割方式会产生不同的岩块采收率。如果使用非破坏性方法绘制不连续面图，就可以计算出切割模式的最优化。我们提出了一种软件代码，能够计算不同切割方案下相交板块的数量。该算法对用户指定的几种情况采用蛮力计算。该软件使用 Open MP 库，以减少计算时间。
{"title":"SlabCutOpt: A code for ornamental stone slab cut optimization","authors":"S. Bonduà , S. Focaccia , M. Elkarmoty","doi":"10.1016/j.simpa.2024.100704","DOIUrl":"10.1016/j.simpa.2024.100704","url":null,"abstract":"<div><div>Rock masses are naturally affected by discontinuities, joints and fractures that affect their exploitation. After block extraction, different cutting pattern can produce different recovery ratio of the block. The optimization of the cutting pattern can be computed if the discontinuities are mapped by the use of non-destructive methods. We propose a software code able to compute the number of intersected slabs by different cuttings scenarios. The algorithm adopts a brute force computation of several scenarios as specified by the user. The software uses the Open MP library in order to reduce computation time.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"22 ","pages":"Article 100704"},"PeriodicalIF":1.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573305","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}
Graph-based models are relevant tools for analyzing the structure and inherent relationships among spatial entities. Here, we introduce ShpStreetGraph, a software designed to construct geographical graphs using shapefiles, explicitly focusing on street datasets. In this framework, nodes represent streets, and links are geographical relations such as intersections or proximity. The tool provides a range of criteria for network construction, enabling users to model and analyze urban street networks efficiently. ShpStreetGraph has proven to be faster than a similar tool when dealing with large networks, thus evidencing its scalability.
{"title":"ShpStreetGraph: From spatial relations of streets to graph representations","authors":"Pablo V.R. Silva , Aurelienne A.S. Jorge , Leonardo B.L. Santos , Vander L.S. Freitas","doi":"10.1016/j.simpa.2024.100711","DOIUrl":"10.1016/j.simpa.2024.100711","url":null,"abstract":"<div><div>Graph-based models are relevant tools for analyzing the structure and inherent relationships among spatial entities. Here, we introduce ShpStreetGraph, a software designed to construct geographical graphs using shapefiles, explicitly focusing on street datasets. In this framework, nodes represent streets, and links are geographical relations such as intersections or proximity. The tool provides a range of criteria for network construction, enabling users to model and analyze urban street networks efficiently. ShpStreetGraph has proven to be faster than a similar tool when dealing with large networks, thus evidencing its scalability.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"22 ","pages":"Article 100711"},"PeriodicalIF":1.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142528485","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}
This manuscript delineates the code developed for a published scholarly article aimed at supporting researchers in addressing plant leaf disease detection and classification (PLDC) challenges while evaluating the efficacy of various deep learning models. Furthermore, the research incorporates preprocessing strategies, correlation, segmentation employing the UNet model, feature extraction methods and EfficientNet model. The software model generates graphs such as confusion matrix, ROC curve (Receiver Operating Characteristic), and visual representations of loss and accuracy graphs. The initial research was disseminated in the Multimedia Tools and Applications journal, and the accompanying dataset was also introduced in the Data in Brief journal.
{"title":"Enhanced leaf disease detection: UNet for segmentation and optimized EfficientNet for disease classification","authors":"Jameer Kotwal , Ramgopal Kashyap , Pathan Mohd Shafi , Vinod Kimbahune","doi":"10.1016/j.simpa.2024.100701","DOIUrl":"10.1016/j.simpa.2024.100701","url":null,"abstract":"<div><div>This manuscript delineates the code developed for a published scholarly article aimed at supporting researchers in addressing plant leaf disease detection and classification (PLDC) challenges while evaluating the efficacy of various deep learning models. Furthermore, the research incorporates preprocessing strategies, correlation, segmentation employing the UNet model, feature extraction methods and EfficientNet model. The software model generates graphs such as confusion matrix, ROC curve (Receiver Operating Characteristic), and visual representations of loss and accuracy graphs. The initial research was disseminated in the Multimedia Tools and Applications journal, and the accompanying dataset was also introduced in the Data in Brief journal.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"22 ","pages":"Article 100701"},"PeriodicalIF":1.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000897/pdfft?md5=aaec845754e88bf11d97594b0f75863a&pid=1-s2.0-S2665963824000897-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142314144","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}
Pub Date : 2024-11-01Epub Date: 2024-11-20DOI: 10.1016/j.simpa.2024.100723
Davide Italo Serramazza, Thach Le Nguyen, Georgiana Ifrim
tsCaptum is a Python library that enables explainability for time series classification and regression using saliency maps (i.e., attribution-based explanation). It bridges the gap between popular time series frameworks (e.g., aeon, sktime, sklearn) and explanation libraries like Captum. tsCaptum tackles the computational complexity of explaining long time series by employing chunking techniques, significantly reducing the number of model evaluations required. This allows users to easily apply Captum explainers to any univariate or multivariate time series model or pipeline built using the aforementioned frameworks. tsCaptum is readily available on pypi.org and can be installed with a simple ”pip install tsCaptum” command.
{"title":"A short tutorial for multivariate time series explanation using tsCaptum","authors":"Davide Italo Serramazza, Thach Le Nguyen, Georgiana Ifrim","doi":"10.1016/j.simpa.2024.100723","DOIUrl":"10.1016/j.simpa.2024.100723","url":null,"abstract":"<div><div>tsCaptum is a Python library that enables explainability for time series classification and regression using saliency maps (i.e., attribution-based explanation). It bridges the gap between popular time series frameworks (e.g., aeon, sktime, sklearn) and explanation libraries like Captum. tsCaptum tackles the computational complexity of explaining long time series by employing chunking techniques, significantly reducing the number of model evaluations required. This allows users to easily apply Captum explainers to any univariate or multivariate time series model or pipeline built using the aforementioned frameworks. tsCaptum is readily available on pypi.org and can be installed with a simple ”pip install tsCaptum” command.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"22 ","pages":"Article 100723"},"PeriodicalIF":1.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723884","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}
Pub Date : 2024-11-01Epub Date: 2024-11-21DOI: 10.1016/j.simpa.2024.100712
Davi Alves Oliveira , Valter de Senna , Hernane Borges de Barros Pereira
Cohesion is one of the main defining characteristics of a text. CohesionNet, an R app with a Shiny interface, processes raw text to calculate network-based cohesion indices. The indices are based on stem repetition and on the analysis of synonymy and hypernymy. The app also constructs a network representation of the text that can be saved in the Pajek NET format. CohesionNet facilitates the assessment of potential applications of the indices, like text classification, automatic summarization, and readability improvement. Currently supporting English texts only, upcoming versions will include additional language support.
内聚力是文本的主要定义特征之一。CohesionNet 是一款带有 Shiny 界面的 R 应用程序，可处理原始文本，计算基于网络的内聚力指数。这些指数基于词干重复以及同义词和超同义词分析。该应用程序还能构建文本的网络表示，并以 Pajek NET 格式保存。CohesionNet 可帮助评估指数的潜在应用，如文本分类、自动摘要和可读性改进。目前仅支持英文文本，即将推出的版本将包括更多语言支持。
{"title":"CohesionNet: Software for network-based textual cohesion analysis","authors":"Davi Alves Oliveira , Valter de Senna , Hernane Borges de Barros Pereira","doi":"10.1016/j.simpa.2024.100712","DOIUrl":"10.1016/j.simpa.2024.100712","url":null,"abstract":"<div><div>Cohesion is one of the main defining characteristics of a text. CohesionNet, an R app with a Shiny interface, processes raw text to calculate network-based cohesion indices. The indices are based on stem repetition and on the analysis of synonymy and hypernymy. The app also constructs a network representation of the text that can be saved in the Pajek NET format. CohesionNet facilitates the assessment of potential applications of the indices, like text classification, automatic summarization, and readability improvement. Currently supporting English texts only, upcoming versions will include additional language support.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"22 ","pages":"Article 100712"},"PeriodicalIF":1.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142724077","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}
Pub Date : 2024-11-01Epub Date: 2024-11-14DOI: 10.1016/j.simpa.2024.100714
Young Lee , Jeong Yang , Mohammad Al-Ramahi , Daniel Delgado
SmartSAT is a mobile web application designed to enhance the efficiency and equitable access of San Antonio’s public transit services, providing real-time bus arrival predictions, notifying riders of seat availability, and gathering rider’s feedback. It aims to leverage technology to deliver an inclusive service with potential impacts for social equality, and enhancement of overall ridership experience. Two studies were conducted to access the impact of SmartSAT on the actual bus arrival times and rider’s communte experience. The findings of the arrival times analysis indicated that certain routes exhibited very slow average differences between their actual and schedule arrival times while a couple displayed a big average difference showing significant delayes and deviations from the schedules timetable. The rider experience study found that there is a differential in the feelings of access to the city’s public transit system held by poor, working-class, and Latinx communities in San Antonio. These findings suggest the need for regular minitoring and optimazation of the bus schedules to improve the effieiency and inclusive access to the current transportaiton system. The outcomes of the study primarily benefit San Antonio residents, especially for underserved communities, leading to an enhancement of its transit network infrastructure.
{"title":"SmartSAT: A customizable mobile web application toward improving the efficiency and equitable access of San Antonio’s public transit services","authors":"Young Lee , Jeong Yang , Mohammad Al-Ramahi , Daniel Delgado","doi":"10.1016/j.simpa.2024.100714","DOIUrl":"10.1016/j.simpa.2024.100714","url":null,"abstract":"<div><div>SmartSAT is a mobile web application designed to enhance the efficiency and equitable access of San Antonio’s public transit services, providing real-time bus arrival predictions, notifying riders of seat availability, and gathering rider’s feedback. It aims to leverage technology to deliver an inclusive service with potential impacts for social equality, and enhancement of overall ridership experience. Two studies were conducted to access the impact of SmartSAT on the actual bus arrival times and rider’s communte experience. The findings of the arrival times analysis indicated that certain routes exhibited very slow average differences between their actual and schedule arrival times while a couple displayed a big average difference showing significant delayes and deviations from the schedules timetable. The rider experience study found that there is a differential in the feelings of access to the city’s public transit system held by poor, working-class, and Latinx communities in San Antonio. These findings suggest the need for regular minitoring and optimazation of the bus schedules to improve the effieiency and inclusive access to the current transportaiton system. The outcomes of the study primarily benefit San Antonio residents, especially for underserved communities, leading to an enhancement of its transit network infrastructure.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"22 ","pages":"Article 100714"},"PeriodicalIF":1.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704618","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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