Pub Date : 2022-06-10DOI: 10.5194/agile-giss-3-12-2022
Eva Nuhn, F. König, S. Timpf
Abstract. Most navigation systems for pedestrians output the shortest route. However, there are findings that travellers do not use the shortest route when free to choose. One alternative to minimising spatial distance is the incorporation of landmark information in a shortest route algorithm. Yet, we do not know whether pedestrians prefer such a landmark route over the shortest route. Therefore, we perform a survey and show participants videos of a shortest and a landmark route. We let participants answer questions concerning navigation satisfaction, route communication, and route comparison. Our findings show that the landmark route is more favourable.
{"title":"\"Landmark Route\": A Comparison to the Shortest Route","authors":"Eva Nuhn, F. König, S. Timpf","doi":"10.5194/agile-giss-3-12-2022","DOIUrl":"https://doi.org/10.5194/agile-giss-3-12-2022","url":null,"abstract":"Abstract. Most navigation systems for pedestrians output the shortest route. However, there are findings that travellers do not use the shortest route when free to choose. One alternative to minimising spatial distance is the incorporation of landmark information in a shortest route algorithm. Yet, we do not know whether pedestrians prefer such a landmark route over the shortest route. Therefore, we perform a survey and show participants videos of a shortest and a landmark route. We let participants answer questions concerning navigation satisfaction, route communication, and route comparison. Our findings show that the landmark route is more favourable.\u0000","PeriodicalId":116168,"journal":{"name":"AGILE: GIScience Series","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122644360","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 : 2022-06-10DOI: 10.5194/agile-giss-3-11-2022
Lasith Niroshan, J. Carswell
Abstract. Computational power is very important when training Deep Learning (DL) models with large amounts of data (Wooldridge, 2021). Hence, High-Performance Computing (HPC) can be leveraged to reduce computational cost, and the Irish Centre for High-End Computing (ICHEC) provides significant infrastructure and services for research and development to both academia and industry. A portion of ICHEC's HPC system has been allocated for institutional access, and this paper presents a case study of how to use Kay (Ireland's national supercomputer) in the remote sensing domain. Specifically, this study uses clusters of Kay Graphics Processing Units (GPUs) for training DL models to extract buildings from satellite imagery using a large number of input data samples.
{"title":"Machine Learning with <i>Kay</i>","authors":"Lasith Niroshan, J. Carswell","doi":"10.5194/agile-giss-3-11-2022","DOIUrl":"https://doi.org/10.5194/agile-giss-3-11-2022","url":null,"abstract":"Abstract. Computational power is very important when training Deep Learning (DL) models with large amounts of data (Wooldridge, 2021). Hence, High-Performance Computing (HPC) can be leveraged to reduce computational cost, and the Irish Centre for High-End Computing (ICHEC) provides significant infrastructure and services for research and development to both academia and industry. A portion of ICHEC's HPC system has been allocated for institutional access, and this paper presents a case study of how to use Kay (Ireland's national supercomputer) in the remote sensing domain. Specifically, this study uses clusters of Kay Graphics Processing Units (GPUs) for training DL models to extract buildings from satellite imagery using a large number of input data samples.","PeriodicalId":116168,"journal":{"name":"AGILE: GIScience Series","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127194444","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 : 2022-06-10DOI: 10.5194/agile-giss-3-33-2022
Laura Elmer, Johannes Scholz, W. Stangl
Abstract. Point Pattern Analysis is already used in medical research, socio-economics and a huge number of related fields. Due to the nature of data on historical monuments is apparent to apply these methods in the context of analysing such monuments. The objective of this paper is, to propose explanatory approach to analyse point patterns using the example of historical buildings of Mexico City and Valley of Mexico. The focus of this work in progress, is on the examination of the underlying spatial pattern of historic monuments in Mexico Valley, and to evaluate if the emerging patterns match facts from scientific literature in the field of History. Key findings of this work in progress are, that the point patterns found can be explained by historic processes. Hence, this indicates that point pattern analyses can help to gain a deeper insight in historical data and processes alike.
{"title":"Point Patterns of Historical Landmarks in the Valley of Mexico","authors":"Laura Elmer, Johannes Scholz, W. Stangl","doi":"10.5194/agile-giss-3-33-2022","DOIUrl":"https://doi.org/10.5194/agile-giss-3-33-2022","url":null,"abstract":"Abstract. Point Pattern Analysis is already used in medical research, socio-economics and a huge number of related fields. Due to the nature of data on historical monuments is apparent to apply these methods in the context of analysing such monuments. The objective of this paper is, to propose explanatory approach to analyse point patterns using the example of historical buildings of Mexico City and Valley of Mexico. The focus of this work in progress, is on the examination of the underlying spatial pattern of historic monuments in Mexico Valley, and to evaluate if the emerging patterns match facts from scientific literature in the field of History. Key findings of this work in progress are, that the point patterns found can be explained by historic processes. Hence, this indicates that point pattern analyses can help to gain a deeper insight in historical data and processes alike.\u0000","PeriodicalId":116168,"journal":{"name":"AGILE: GIScience Series","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130374656","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 : 2022-06-10DOI: 10.5194/agile-giss-3-7-2022
K. Janowicz, Rui Zhu, J. Verstegen, Grant McKenzie, Bruno Martins, Ling Cai
Abstract. In 2015, John Brockman edited a volume of chapters contributed by leading thinkers from various domains discussing common scientific ideas hindering further scientific progress. While starting with the provocative slogan of This Idea Must Die, the book’s chapters and their authors (for most parts) do not argue that those existing – often foundational scientific theories from various domains – are false, but instead that their widespread, and often unquestioned, utilization has started to hinder the evolution of new theories. Through this work, we would like to foster a similar discussion in our community, by suggesting six ideas in GIScience/geoinformatics that may benefit from retiring to make room for new perspectives. Our suggestions are somewhat controversial, and readers are encouraged to keep an open mind.
{"title":"Six GIScience Ideas That Must Die","authors":"K. Janowicz, Rui Zhu, J. Verstegen, Grant McKenzie, Bruno Martins, Ling Cai","doi":"10.5194/agile-giss-3-7-2022","DOIUrl":"https://doi.org/10.5194/agile-giss-3-7-2022","url":null,"abstract":"Abstract. In 2015, John Brockman edited a volume of chapters contributed by leading thinkers from various domains discussing common scientific ideas hindering further scientific progress. While starting with the provocative slogan of This Idea Must Die, the book’s chapters and their authors (for most parts) do not argue that those existing – often foundational scientific theories from various domains – are false, but instead that their widespread, and often unquestioned, utilization has started to hinder the evolution of new theories. Through this work, we would like to foster a similar discussion in our community, by suggesting six ideas in GIScience/geoinformatics that may benefit from retiring to make room for new perspectives. Our suggestions are somewhat controversial, and readers are encouraged to keep an open mind.\u0000","PeriodicalId":116168,"journal":{"name":"AGILE: GIScience Series","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131337295","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 : 2022-06-10DOI: 10.5194/agile-giss-3-16-2022
Mehtab Alam Syed, E. Arsevska, M. Roche, M. Teisseire
Abstract. Spatial information has gained more attention in natural language processing tasks in different interdisciplinary domains. Moreover, the spatial information is available in two forms: Absolute Spatial Information (ASI) e.g., Paris, London, and Germany and Relative Spatial Information (RSI) e.g., south of Paris, north Madrid and 80 km from Rome. Therefore, it is challenging to extract RSI from textual data and compute its geotagging. This paper presents two strategies and the associated prototypes to address the following tasks: 1) extraction of relative spatial information from textual data and 2) geotagging of this relative spatial information. Experiments show promising results for RSI extraction and tagging.
{"title":"GeoXTag: Relative Spatial Information Extraction and Tagging of Unstructured Text","authors":"Mehtab Alam Syed, E. Arsevska, M. Roche, M. Teisseire","doi":"10.5194/agile-giss-3-16-2022","DOIUrl":"https://doi.org/10.5194/agile-giss-3-16-2022","url":null,"abstract":"Abstract. Spatial information has gained more attention in natural language processing tasks in different interdisciplinary domains. Moreover, the spatial information is available in two forms: Absolute Spatial Information (ASI) e.g., Paris, London, and Germany and Relative Spatial Information (RSI) e.g., south of Paris, north Madrid and 80 km from Rome. Therefore, it is challenging to extract RSI from textual data and compute its geotagging. This paper presents two strategies and the associated prototypes to address the following tasks: 1) extraction of relative spatial information from textual data and 2) geotagging of this relative spatial information. Experiments show promising results for RSI extraction and tagging.\u0000","PeriodicalId":116168,"journal":{"name":"AGILE: GIScience Series","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132503579","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 : 2022-06-10DOI: 10.5194/agile-giss-3-23-2022
J. Bates, F. Jonard, R. Bajracharya, H. Vereecken, C. Montzka
Abstract. Biomass is an important indicator in the ecological and management process that can now be estimated at higher temporal and spatial resolutions because of unmanned aircraft systems (UAS). LiDAR sensor technology has advanced enabling more compact sizes that can be integrated with UAS platforms. Its signals are capable of penetrating through vegetation canopies enabling the capture of more information along the plant structure. Separate studies have used LiDAR for crop height, rate of canopy penetrations as related to leaf area index (LAI), and signal intensity as an indicator of plant chlorophyll status or green area index (GAI). These LiDAR products are combined within a machine learning method such as an artificial neural network (ANN) to assess the potential in making accurate biomass estimations for winter wheat.
{"title":"Machine Learning with UAS LiDAR for Winter Wheat Biomass Estimations","authors":"J. Bates, F. Jonard, R. Bajracharya, H. Vereecken, C. Montzka","doi":"10.5194/agile-giss-3-23-2022","DOIUrl":"https://doi.org/10.5194/agile-giss-3-23-2022","url":null,"abstract":"Abstract. Biomass is an important indicator in the ecological and management process that can now be estimated at higher temporal and spatial resolutions because of unmanned aircraft systems (UAS). LiDAR sensor technology has advanced enabling more compact sizes that can be integrated with UAS platforms. Its signals are capable of penetrating through vegetation canopies enabling the capture of more information along the plant structure. Separate studies have used LiDAR for crop height, rate of canopy penetrations as related to leaf area index (LAI), and signal intensity as an indicator of plant chlorophyll status or green area index (GAI). These LiDAR products are combined within a machine learning method such as an artificial neural network (ANN) to assess the potential in making accurate biomass estimations for winter wheat.\u0000","PeriodicalId":116168,"journal":{"name":"AGILE: GIScience Series","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115613054","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 : 2022-06-10DOI: 10.5194/agile-giss-3-24-2022
G. Beconytė, Andrius Balciunas, Inga Andriuškevičiūtė
Abstract. The paper presents the outline of development of the Lithuanian SDI from its initial idea in 2002 to the functional and mature system in 2022. The aspects of organizational co-ordination, spatial competencies and impact on the development of the society are briefly discussed. Evaluation of maturity of the SDI is evaluated using original method and presented in an aggregated form for the five milestones of the SDI development timeline. Economic and social benefits and accuracy of prognoses is retrospectively evaluated using actual numbers of users and use cases. Impact of new framework data services, new administrative services and provision of open data is demonstrated by different indicators of growth of use of the SDI. Future trends and threats are discussed.
{"title":"Lithuanian spatial information infrastructure: 20 years of evolution, milestones, costs and benefits","authors":"G. Beconytė, Andrius Balciunas, Inga Andriuškevičiūtė","doi":"10.5194/agile-giss-3-24-2022","DOIUrl":"https://doi.org/10.5194/agile-giss-3-24-2022","url":null,"abstract":"Abstract. The paper presents the outline of development of the Lithuanian SDI from its initial idea in 2002 to the functional and mature system in 2022. The aspects of organizational co-ordination, spatial competencies and impact on the development of the society are briefly discussed. Evaluation of maturity of the SDI is evaluated using original method and presented in an aggregated form for the five milestones of the SDI development timeline. Economic and social benefits and accuracy of prognoses is retrospectively evaluated using actual numbers of users and use cases. Impact of new framework data services, new administrative services and provision of open data is demonstrated by different indicators of growth of use of the SDI. Future trends and threats are discussed.\u0000","PeriodicalId":116168,"journal":{"name":"AGILE: GIScience Series","volume":"212 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113959092","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 : 2022-06-10DOI: 10.5194/agile-giss-3-29-2022
J. R. Cedeno Jimenez, Pengxiang Zhao, A. Mansourian, M. Brovelli
Abstract. Blockchain technologies are driving the internet infrastructures into a transformation from Web 2.0 to Web 3.0. This remodels the internet foundations from a centralized approach, where data is hosted by a single actor, to a decentralized one in which data is distributed among peers in a network. Thanks to blockchain technologies, the evolution from centralized to decentralized applications (dApps) eliminate single points of failure, data censorship and data tampering. This transformation is not only important in the financial sector, where the technology is more evolved, but also in geospatial crowdsourcing activities. The objective of this work is to perform a literature review of current blockchain technologies used for sharing and crowdsourcing activities involving geospatial data. This study serves as a starting point for future works where the main purpose is to develop a geospatial sharing blockchain platform. At the present, two platforms have been developed for this purpose, FOAM and D-GIS. The former is a fully deployed implementation whose objective is to create a crowdsourced map. The latter is a platform designed to share geospatial studies publicly, however, it is only developed conceptually and not deployed. Additional to these works, other blockchain data sharing examples exist and are reviewed in this study as a baseline for future developments in the geospatial area. The output of this research indicates that it is feasible to use blockchain technology for the development of a crowdsourcing geospatial data-sharing platform.
{"title":"Geospatial Blockchain: review of decentralized geospatial data sharing systems","authors":"J. R. Cedeno Jimenez, Pengxiang Zhao, A. Mansourian, M. Brovelli","doi":"10.5194/agile-giss-3-29-2022","DOIUrl":"https://doi.org/10.5194/agile-giss-3-29-2022","url":null,"abstract":"Abstract. Blockchain technologies are driving the internet infrastructures into a transformation from Web 2.0 to Web 3.0. This remodels the internet foundations from a centralized approach, where data is hosted by a single actor, to a decentralized one in which data is distributed among peers in a network. Thanks to blockchain technologies, the evolution from centralized to decentralized applications (dApps) eliminate single points of failure, data censorship and data tampering. This transformation is not only important in the financial sector, where the technology is more evolved, but also in geospatial crowdsourcing activities. The objective of this work is to perform a literature review of current blockchain technologies used for sharing and crowdsourcing activities involving geospatial data. This study serves as a starting point for future works where the main purpose is to develop a geospatial sharing blockchain platform. At the present, two platforms have been developed for this purpose, FOAM and D-GIS. The former is a fully deployed implementation whose objective is to create a crowdsourced map. The latter is a platform designed to share geospatial studies publicly, however, it is only developed conceptually and not deployed. Additional to these works, other blockchain data sharing examples exist and are reviewed in this study as a baseline for future developments in the geospatial area. The output of this research indicates that it is feasible to use blockchain technology for the development of a crowdsourcing geospatial data-sharing platform.\u0000","PeriodicalId":116168,"journal":{"name":"AGILE: GIScience Series","volume":"19 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120839836","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 : 2022-06-10DOI: 10.5194/agile-giss-3-35-2022
Aikaterini Foteinou, M. Kokla, E. Tomai, M. Kavouras
Abstract. The possibilities of using sound in cartography have been formulated by numerous researchers. However, there are still no general guidelines for mapping data dimensions to auditory variables, while the decision of which spatial data dimension to represent by which sound variable is crucial. The method for embedding sound in maps is commonly known as "sonification"; the representation of data through sound. Many researchers use sonification to convey their data through the auditory channel as an alternative way to understand and represent our complicated world. With this in mind, we created an interactive web map that depicts the fire dynamics, adopting the sonification technique of parameter mapping; a sound variable was used to represent fire duration. For assessing the effectiveness of different sound variables for this map, an online survey was conducted. The main finding is that to represent spatial data through sound, participatory approaches can highlight the most effective cross-modal correspondence.
{"title":"Sonification of Spatial Data: An Online Audiovisual Cartographic Representation of Fire Incidents","authors":"Aikaterini Foteinou, M. Kokla, E. Tomai, M. Kavouras","doi":"10.5194/agile-giss-3-35-2022","DOIUrl":"https://doi.org/10.5194/agile-giss-3-35-2022","url":null,"abstract":"Abstract. The possibilities of using sound in cartography have been formulated by numerous researchers. However, there are still no general guidelines for mapping data dimensions to auditory variables, while the decision of which spatial data dimension to represent by which sound variable is crucial. The method for embedding sound in maps is commonly known as \"sonification\"; the representation of data through sound. Many researchers use sonification to convey their data through the auditory channel as an alternative way to understand and represent our complicated world. With this in mind, we created an interactive web map that depicts the fire dynamics, adopting the sonification technique of parameter mapping; a sound variable was used to represent fire duration. For assessing the effectiveness of different sound variables for this map, an online survey was conducted. The main finding is that to represent spatial data through sound, participatory approaches can highlight the most effective cross-modal correspondence.\u0000","PeriodicalId":116168,"journal":{"name":"AGILE: GIScience Series","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116039529","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 : 2022-06-10DOI: 10.5194/agile-giss-3-25-2022
G. Beconytė, Kostas Gružas, M. Govorov
Abstract. The paper presents the results of analysis of spatial distribution of violent crime in Lithuania. Two periods are compared: 2015–2019 that can be characterized as a period with relatively stable crime dynamics and 2020, the year of Covid-19 pandemic. Violent crime (events that have elements of direct threat to a person) was chosen because it is the type of crime that causes the most harm and because the worrying trend of its growth has been observed against a backdrop of declining overall crime. We demonstrate how the distribution of violent crime had changed in Lithuania in 2020 compared to the trends of 2015–2019 and, specifically, during the two lockdown periods of 2020 – between March 3 and June 17 and from 4 November to the end of the year.
{"title":"Violent crime in Lithuania: trends and patterns in 2015–2020","authors":"G. Beconytė, Kostas Gružas, M. Govorov","doi":"10.5194/agile-giss-3-25-2022","DOIUrl":"https://doi.org/10.5194/agile-giss-3-25-2022","url":null,"abstract":"Abstract. The paper presents the results of analysis of spatial distribution of violent crime in Lithuania. Two periods are compared: 2015–2019 that can be characterized as a period with relatively stable crime dynamics and 2020, the year of Covid-19 pandemic. Violent crime (events that have elements of direct threat to a person) was chosen because it is the type of crime that causes the most harm and because the worrying trend of its growth has been observed against a backdrop of declining overall crime. We demonstrate how the distribution of violent crime had changed in Lithuania in 2020 compared to the trends of 2015–2019 and, specifically, during the two lockdown periods of 2020 – between March 3 and June 17 and from 4 November to the end of the year.\u0000","PeriodicalId":116168,"journal":{"name":"AGILE: GIScience Series","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124779570","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：