Development and validation of an AI-enabled oral score using large-scale dental data by Sri Kalyan Yarlagadda, Navid Samavati, Mina Ghorbanifarajzadeh, Vlada Levinta, Alireza Sojoudi, Wardah Inam, Teresa A. Dolan

“…This score was developed using Overjet’s FDA-cleared AI platform, which detects dental conditions using bitewing and periapical radiographs, providing a detailed analysis of each tooth. …”
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The Development of Educational Competences for Romanian Students in the Context of the Evolution of Data Science and Artificial Intelligence by Giani Ionel Grădinaru, Vasile Dinu, Cătălin-Laurențiu Rotaru, Andreea Toma

“…Using the “2022 Stack Overflow Annual Developer Survey” dataset and machine learning methods such as principal component analysis, K-means clustering, and logistic regression, professional skills in science are analysed the data. …”
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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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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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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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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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Methicillin resistant staphylococci isolated in clinical samples: a 3-year retrospective study analysis by Abdel Karim Foloum, Luria Leslie Founou, Sabrina Karang, Yolande Maled, Cedrice Tsayem, Martin Kuete, Michel Noubom, Raspail Carrel Founou

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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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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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Developing organization structure of retail enterprises (on the example of the Czech Republic) by Aleksandr L. Bobkov, Igor V. Denisov, Oksana V. Kuchmaeva

“…The authors’ hypothesis is that these two types of structures – consequent and parallel – replace each other dialectically, and change qualitatively in the process of enterprises growth, but, at the same time, they maintain their constitutive properties at each level of organizations development.The retail sector was chosen as the object of analysis, since the generalized organizational structure in it is characterized by separate sales outlets, which makes it possible to conduct statistical processing of data. …”
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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 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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Using Fuzzy Set Qualitative Comparative Analysis in Social Science Research Abstract by Rabia Çizel, Volkan Aşkun, Beykan Çizel

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Decision-making of drivers following autonomous vehicles: Developing a Bayesian network on the basis of field tests and questionnaire data by Fang Zong, Huan Wu, Meng Zeng, Won Kim, Qiaowen Bai, Yafeng Gong, Ruifeng Duan, Ying Guo

“…This study aims to explore the differences in drivers’ decision-making mechanisms when following AVs and HDVs. Data from a questionnaire survey and a field test are collected and employed to establish a Bayesian network for car-following decision-making process analysis and inference. …”
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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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Developing a one health data integration framework focused on real-time pathogen surveillance and applied genomic epidemiology by Hanna N. Oltean, Beth Lipton, Allison Black, Kevin Snekvik, Katie Haman, Minden Buswell, Anna E. Baines, Peter M. Rabinowitz, Shannon L. Russell, Sean Shadomy, Ria R. Ghai, Steven Rekant, Scott Lindquist, Janet G. Baseman

“…Several important considerations separate this One Health framework from more generalized informatics frameworks; these include complex partner identification, requirements for engagement and co-development of system scope, complex data governance, and a requirement for joint data analysis, reporting, and interpretation across sectors for success. …”
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The Analysis of Customers’ Transactions Based on POS and RFID Data Using Big Data Analytics Tools in the Retail Space of the Future by Marina Kholod, Alberto Celani, Gianandrea Ciaramella

“…In today’s business landscape, the volume of transaction data is rapidly increasing. This study explores the integration of Point of Sale (POS) and Radio-Frequency Identification (RFID) technologies to enhance the analysis of customer transactions using big data tools. …”
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