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Forecast Uncertainties Real-Time Data-Driven Compensation Scheme for Optimal Storage Control 预测不确定性 实时数据驱动的优化存储控制补偿方案
Data Science and Management Pub Date : 2024-07-01 DOI: 10.1016/j.dsm.2024.07.002
Arbel Yaniv, Yuval Beck
{"title":"Forecast Uncertainties Real-Time Data-Driven Compensation Scheme for Optimal Storage Control","authors":"Arbel Yaniv, Yuval Beck","doi":"10.1016/j.dsm.2024.07.002","DOIUrl":"https://doi.org/10.1016/j.dsm.2024.07.002","url":null,"abstract":"","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141846117","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}
引用次数: 0
Comparative study of IoT- and AI-based computing disease detection approaches 基于物联网和人工智能的计算疾病检测方法比较研究
Data Science and Management Pub Date : 2024-07-01 DOI: 10.1016/j.dsm.2024.07.004
Wasiur Rhmann, Jalaluddin Khan, G. Khan, Zubair Ashraf, Babita Pandey, Mohammad Ahmar Khan, Ashraf Ali, Amaan Ishrat, A. Alghamdi, Bilal Ahamad, Mohammad Khaja Shaik
{"title":"Comparative study of IoT- and AI-based computing disease detection approaches","authors":"Wasiur Rhmann, Jalaluddin Khan, G. Khan, Zubair Ashraf, Babita Pandey, Mohammad Ahmar Khan, Ashraf Ali, Amaan Ishrat, A. Alghamdi, Bilal Ahamad, Mohammad Khaja Shaik","doi":"10.1016/j.dsm.2024.07.004","DOIUrl":"https://doi.org/10.1016/j.dsm.2024.07.004","url":null,"abstract":"","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141841404","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}
引用次数: 0
Dual-market quantitative trading: The dynamics of liquidity and turnover in financial markets 双市场量化交易：金融市场流动性和成交量的动态变化
Data Science and Management Pub Date : 2024-07-01 DOI: 10.1016/j.dsm.2024.07.003
Qing Zhu, Chenyu Han, Yuze Li
{"title":"Dual-market quantitative trading: The dynamics of liquidity and turnover in financial markets","authors":"Qing Zhu, Chenyu Han, Yuze Li","doi":"10.1016/j.dsm.2024.07.003","DOIUrl":"https://doi.org/10.1016/j.dsm.2024.07.003","url":null,"abstract":"","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141851279","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}
引用次数: 0
A Model for Predicting Dropout of Higher Education Students 预测高校学生辍学的模型
Data Science and Management Pub Date : 2024-07-01 DOI: 10.1016/j.dsm.2024.07.001
A. Rabelo, Luis Enrique Zárate
{"title":"A Model for Predicting Dropout of Higher Education Students","authors":"A. Rabelo, Luis Enrique Zárate","doi":"10.1016/j.dsm.2024.07.001","DOIUrl":"https://doi.org/10.1016/j.dsm.2024.07.001","url":null,"abstract":"","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141853113","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}
引用次数: 0
Value Realization of Intelligent Emergency Management: Research Framework from Technology Enabling to Value Creation 智能应急管理的价值实现：从技术赋能到价值创造的研究框架
Data Science and Management Pub Date : 2024-06-01 DOI: 10.1016/j.dsm.2024.06.001
Yan Guo, Yan Song, Mingyue Zhang
{"title":"Value Realization of Intelligent Emergency Management: Research Framework from Technology Enabling to Value Creation","authors":"Yan Guo, Yan Song, Mingyue Zhang","doi":"10.1016/j.dsm.2024.06.001","DOIUrl":"https://doi.org/10.1016/j.dsm.2024.06.001","url":null,"abstract":"","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141409093","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}
引用次数: 0
User-centric avatar design: A cognitive walkthrough approach for metaverse in virtual education 以用户为中心的头像设计：虚拟教育中的元宇宙认知演练方法
Data Science and Management Pub Date : 2024-05-19 DOI: 10.1016/j.dsm.2024.05.001
{"title":"User-centric avatar design: A cognitive walkthrough approach for metaverse in virtual education","authors":"","doi":"10.1016/j.dsm.2024.05.001","DOIUrl":"10.1016/j.dsm.2024.05.001","url":null,"abstract":"<div><div>Metaverse, once a concept confined to science fiction, has emerged as a transformative reality during the digital era. As this immersive virtual world gains prominence, the role of avatars and the digital representations of users in shaping educational experiences within a metaverse becomes increasingly crucial. This study examined the design of avatars and their effectiveness in virtual education. Using the cognitive walkthrough (CW) method, a well-established user-centric assessment approach, this study examined how users engage in avatar design in virtual educational settings, highlighting their cognitive processes. Through the CW approach, this study identified usability issues and learning challenges, providing valuable insights into the user experience. The investigation focuses on the VRoid platform for avatar design, selected for its user-friendly interface and robust customization features. Participants (n ​= ​12; six men and six women) from diverse educational backgrounds were carefully selected to offer a comprehensive range of perspectives. They performed avatar design tasks that closely mirrored the learning environment of the metaverse, followed by in-depth post-exercise interviews. The findings of this study highlight the essential role of avatar design in enhancing user engagement and improving the learning outcomes of virtual education. Furthermore, we provide practical recommendations for educators and designers to effectively leverage avatar innovation. In a continuously evolving era of metaverse, this research contributes significantly to the ongoing discourse on user-centered design in educational settings, thereby influencing the future trajectory of virtual education.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141140192","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}
引用次数: 0
Trust and involvement of Cameroonian software developers in open-source projects 喀麦隆软件开发人员对开源项目的信任和参与情况
Data Science and Management Pub Date : 2024-05-06 DOI: 10.1016/j.dsm.2024.04.005
{"title":"Trust and involvement of Cameroonian software developers in open-source projects","authors":"","doi":"10.1016/j.dsm.2024.04.005","DOIUrl":"10.1016/j.dsm.2024.04.005","url":null,"abstract":"<div><div>Although recent studies have examined collaboration within open-source software projects, the focus has primarily been on their motivations and governance. This study explores the complex dynamics of trust and involvement among Cameroonian software developers in open-source projects. In the context of a rapidly evolving software development landscape, these projects have emerged as a transformative force, redefining global collaboration standards. The qualitative methodological approach involved a survey of 22 participants in open-source software projects, including Cameroonian software developers, project governance actors, and open-source community members. Analyses revealed that the trust given to African software developers, including their effective integration into projects and consideration of their specificities and contributions, has a positive impact on their involvement in and ability to appropriate information technologies. By exploring the interaction between cultural, social, and technological factors, this study enhances our understanding of trust mechanisms within open-source communities, especially those involving remote developers.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141035693","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}
引用次数: 0
Will China’s carbon-trading policy foster coordinated innovation in green technologies? 中国的碳交易政策能否促进绿色技术的协调创新？
Data Science and Management Pub Date : 2024-05-04 DOI: 10.1016/j.dsm.2024.04.004
{"title":"Will China’s carbon-trading policy foster coordinated innovation in green technologies?","authors":"","doi":"10.1016/j.dsm.2024.04.004","DOIUrl":"10.1016/j.dsm.2024.04.004","url":null,"abstract":"<div><div>Accelerating green innovation is crucial for achieving high-quality development in China. Despite this importance, empirical evidence on the harmonization techniques in the context of carbon-trading policies has been remarkably thin. To address this gap, we employed the difference-in-difference (DID) and spatial difference-in-difference (S-DID) models using panel data from 2007 to 2017 for 30 Chinese provinces. Our findings reveal that the carbon-trading policy contributes significantly to the coordinated advancement of green technologies across Chinese provinces and exhibits a local siphoning effect. Specifically, the pilot areas of the policy have attracted talent from neighboring regions, which has fostered local cooperation and promoted coordinated innovation in green technologies within the region.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141054066","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}
引用次数: 0
Trust framework for self-sovereign identity in metaverse healthcare applications 元数据医疗应用中自我主权身份的信任框架
Data Science and Management Pub Date : 2024-04-29 DOI: 10.1016/j.dsm.2024.04.003
Alan Ling , Sergey Butakov
{"title":"Trust framework for self-sovereign identity in metaverse healthcare applications","authors":"Alan Ling ,&nbsp;Sergey Butakov","doi":"10.1016/j.dsm.2024.04.003","DOIUrl":"10.1016/j.dsm.2024.04.003","url":null,"abstract":"<div><div>The research community and digital sector are currently engaged in the development of diverse services within the metaverse ecosystems. Conversely, as concerns about safeguarding personal privacy mount, individuals anticipate exercising greater authority over the way third parties make use of sensitive information, such as medical data. This study aims to develop tools that can facilitate the provision of healthcare services within the metaverse ecosystem in a safe and trustworthy way. This project proposes a trust framework for digital healthcare applications to run in a metaverse environment. The framework is based on the use of self-sovereign identity (SSI) and has been tested on the design principles outlined for the SSI-based architecture. This study outlines two use-case scenarios that can serve as foundations for implementing a trust framework.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552879","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}
引用次数: 0
Comparative analysis of manual and programmed annotations for crowd assessment and classification using artificial intelligence 利用人工智能进行人群评估和分类的人工和注释比较分析
Data Science and Management Pub Date : 2024-04-05 DOI: 10.1016/j.dsm.2024.04.001
{"title":"Comparative analysis of manual and programmed annotations for crowd assessment and classification using artificial intelligence","authors":"","doi":"10.1016/j.dsm.2024.04.001","DOIUrl":"10.1016/j.dsm.2024.04.001","url":null,"abstract":"<div><div>Funding agencies play a pivotal role in bolstering research endeavors by allocating financial resources for data collection and analysis. However, the lack of detailed information regarding the methods employed for data gathering and analysis can obstruct the replication and utilization of the results, ultimately affecting the study’s transparency and integrity. The task of manually annotating extensive datasets demands considerable labor and financial investment, especially when it entails engaging specialized individuals. In our crowd counting study, we employed the web-based annotation tool SuperAnnotate to streamline the human annotation process for a dataset comprising 3,000 images. By integrating automated annotation tools, we realized substantial time efficiencies, as demonstrated by the remarkable achievement of 858,958 annotations. This underscores the significant contribution of such technologies to the efficiency of the annotation process.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140792001","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}
引用次数: 0
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