Development of a data-driven neural network model for electron thermal transport in NSTX by H. Chung, C.Y. Lee, G.J. Choi, S.M. Kaye, B.P. LeBlanc, J.W. Berkery, Y.-S. Na

“…A data-driven electron thermal transport neural network (ETT-NN) model, trained on TRANSP interpretative analysis results of National Spherical Torus Experiment (NSTX), was developed to enable faster and more accurate ETT computation for spherical tokamaks (STs). …”
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Collaborative Data Cleaning Framework: a Pilot Case Study for Machine Learning Development by Nikolaus Parulian, Bertram Ludäscher

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Developing data management tools to identify the colonial impact on monuments in the Sumy region of Ukraine by Rymma Mylenkova, Larysa Otroshchenko, Tetiana Povalii, Olha Boiko, Alla Ziakun, Daria Medvedovska

“…This paper focuses on developing data management tools to identify the representation of Russian colonial impact in Ukrainian public art through analysis of Ukrainian monuments included in the State Monuments’ Rosters for the Sumy region, a territory bordering Russia. …”
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Genealogy of a data ecosystem: The digitalisation of planning development and control in Ireland, 2000–2024 by Rob Kitchin, Juliette Davret, Carla Maria Kayanan, Samuel Mutter

“…Using this framing, we document the adoption of a set of related IT management systems by planning actors at local and national scale and how they have been stitched together to form a functioning, multi-scalar data ecosystem. Our longitudinal analysis reveals the contingent, relational nature of technology adoption and the construction and evolution of data ecosystems, and the social, political and technical work that continually reconfigures their relations and practices.…”
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Developing animated video-based learning with powtoon to foster critical thinking in data presentation by Tomi Listiawan, Jane Eka Sari Radiyah

“…In the Analyze phase, a needs assessment was conducted to identify gaps in students' critical thinking skills regarding data interpretation. During the Design and Develop phases, instructional videos were created to target key critical thinking components, including analysis, interpretation, and evaluation. …”
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Patients in palliative care-Development of a predictive model for anxiety using routine data. by Sonja Hofmann, Stephanie Hess, Carsten Klein, Gabriele Lindena, Lukas Radbruch, Christoph Ostgathe

“…<h4>Introduction</h4>Anxiety is one of the most common psychological symptoms in patients in a palliative care situation. This study aims to develop a predictive model for anxiety using data from the standard documentation routine.…”
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The Development and Construction of City Information Modeling (CIM): A Survey from Data Perspective by Wenya Yu, Xiaowei Zhou, Dongsheng Wang, Junyu Dong

“…While the existing research has primarily focused on technical architectures, governance models, and application scenarios, a systematic exploration of CIM’s data-driven characteristics remains limited. This paper reviews the evolution of CIM from a data-centric view introducing a research framework that systematically examines the data lifecycle, including acquisition, processing, analysis, and decision support. …”
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Uncovering the black box of public data: the contribution of open government data to air pollution control by Xiaoli Zhou, Ruotong Wang, Mingyang Han

“…Enhancing data elements to support environmental governance is a key initiative for promoting digital transformation and ecological development. …”
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Development and application of knowledge graph-based spatiotemporal data model for urban physical examination by Sijia Wang, Jun Chen, Dongyang Hou, Xiaoguang Zhou, Bingliang Cui, Xiaoyang Zhang, Yu Wang, Dongyuan Li, Junyu Cui, Silong Luo, Qiankun Kang

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Computational tools and data integration to accelerate vaccine development: challenges, opportunities, and future directions by Lindsey N. Anderson, Charles Tapley Hoyt, Jeremy D. Zucker, Andrew D. McNaughton, Jeremy R. Teuton, Klas Karis, Natasha N. Arokium-Christian, Jackson T. Warley, Zachary R. Stromberg, Benjamin M. Gyori, Benjamin M. Gyori, Neeraj Kumar

“…Furthermore, we highlight specific challenges associated with uncertainty quantification in vaccine development and emphasize the importance of establishing standardized data formats and ontologies to facilitate the integration and analysis of heterogeneous data. …”
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Development of a minimum data set for long COVID: a Delphi study protocol by Lisa Lix, Pawan Kumar, Simon Décary, Kiran Pohar Manhas, Andrea Gruneir, Gary Groot, Alison Hoens, Gayle Halas, Angela Cheung, Kieran Quinn, Michelle Kho, Adelaide Amah, Hammed Ejalonibu, Bansari Chavda, Alaa Aburub, Renee Greene, Daphne Kemp, Donna Ellen Frederick, Kathrina Mazurik, Sarah Slagerman, Donna Ioana Dumitrescu, Anne Bhereur, Caren Cao, Grace Lam, Candace McNaughton, Kadia Saint-Onge, Diana Sanchez-Ramirez

“…We will use the prioritised topics to develop a list of core questions as a minimum data set to standardise data collection and inform a national patient registry on long COVID in Canada.Ethics and dissemination This study has been approved by the University of Saskatchewan Behavioural Research Ethics Board (BEH #4296). …”
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Development and implementation of digital solutions in healthcare: insights from the Australian tertiary hospital landscape by Rudolf J. Schnetler, Venkat N. Vangaveti, Venkat N. Vangaveti, Benjamin J. Crowley, Joshua K. Keogh, Trudie Harris, Dale Parker, Jane Watson, Teresa Edwards, Peter Westwood, Hudson Birden, Marina Daly, Kieran Keyes, Erik Biros, Erik Biros, Andrew J. Mallett, Andrew J. Mallett, Andrew J. Mallett, Andrew J. Mallett

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Analysis of public debt trends and poverty reduction in Malawi by Freeman Munisi Mateko, Alexis Habiyaremye, Oladipo Olalekan David, Gershon Obindah

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Early detection of Zymoseptoria tritici infection on wheat leaves using hyperspectral imaging dataData INRAE by Lorraine Latchoumane, Martin Ecarnot, Ryad Bendoula, Jean-Michel Roger, Silvia Mas-Garcia, Heloïse Villesseche, Flora Tavernier, Maxime Ryckewaert, Nathalie Gorretta, Pierre Roumet, Elsa Ballini

“…For each wavelength range studied, a total of 1175 images provided information on 3326 leaves measured throughout the experiment. These data are valuable since they can be used as a basis to monitor disease's development over time, to build leaf classification models according to their infection status per genotype per day, to develop prediction models related to symptoms' appearance, or to test imaging and spectral analysis methods.…”
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Visualising and Valuing Urban Agriculture for Land Use Planning: A Critical GIS Analysis of Sydney and Neighbouring Regions by Joshua Zeunert, Scott Hawken, Josh Gowers

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Alternative data in finance and business: emerging applications and theory analysis (review) by Yunchuan Sun, Lu Liu, Ying Xu, Xiaoping Zeng, Yufeng Shi, Haifeng Hu, Jie Jiang, Ajith Abraham

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LorDist: a novel method for calculating the distance based on functional data analysis with application to longitudinal microbial data by Xinhe Qi, Menghan Zhang, Tongqing Wei, Jinran Lin, Xingming Zhao, Yin Yao, Yueqing Hu, Yan Zheng

“…Here, we developed longitudinal microbial data distance (LorDist), an innovative method leveraging functional data analysis to model temporal microbial dynamics with enhanced precision. …”
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SPATIAL ANALYSIS OF CITIES AND AGGLOMERATIONS: INTEGRATION OF GIS AND BIG DATA TECHNOLOGIES by A. A. Cherkasov, R. K. Maxmudov, N. V. Sopnev

“…Suburban areas included in the half-hour and hourly transport accessibility are generally comparable in terms of the cost of residential premises within both agglomerations. Results. The development and integration of technologies for the collection, processing and analysis of spatial and temporal data contributes to the expansion of the methodological tools of geodemographic research and opens up wide opportunities to comprehensively approach the issue of the development of intra-agglomeration and intra-urban processes. …”
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DATA ANALYSIS BY FORMAL METHODS OF ESTIMATION OF INDEXES OF RATING CRITERION IN PROCESS OF ACCUMULATION OF DATA ABOUT WORKING OF THE TEACHING STAFF by Alexey E. Fedoseev

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MetaboLabPy—An Open-Source Software Package for Metabolomics NMR Data Processing and Metabolic Tracer Data Analysis by Christian Ludwig

“…The software implements a complete workflow for NMR data pre-processing to prepare a series of 1D-NMR spectra for multi-variate statistical data analysis. …”
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