Catch Data Can Unravel Elasmobranch Aggregation Dynamics and Group Behaviours by A. G. McInturf, M. Cantor, I. A. Bouyoucos, T. K. Chapple, S. F. Debaere, K. Eustache, J. Mourier, S. Planes, J. A. Sulikowski, K. W. Zillig, N. A. Fangue, J. L. Rummer

“…Here, we aim to address these challenges by introducing a methodological framework for analysing catch data to infer aggregation behaviour. Within this framework, we outline key metrics to explore, such as the number and density of individuals captured, phenotypic traits, drivers of co‐occurrence, individual identification, and kin structure. …”
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A new statistical model for advanced modeling of cancer disease data

“…Classical probability models often struggle to capture the variability and complex patterns inherent in biomedical data, particularly lifetime data. To address these limitations, the generalized odd beta prime Generalized (GOBP-G) class of distributions is introduced, along with an extension called the generalized odd beta prime-Weibull (GOBPW) distribution. …”
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THE ROLE OF ARTIFICIAL INTELLIGENCE IN ECONOMIC TRANSFORMATION: FROM AUTOMATION TO THE DATA ECONOMY by Viktoriia Mykytas

“…This transition reduces the demand for low-skilled labor while increasing the demand for highly specialized professionals in AI development, data analysis, AI ethics, and cybersecurity. However, it also raises profound concerns related to job displacement, unequal access to retraining, data privacy, and algorithmic transparency. …”
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Data-Driven Approach to Safety Control in Jacket-Launching Installation Operations by Sheng Chen, Mingxin Li, Yankun Liu, Xu Bai

“…The model is enhanced by incorporating both numerical simulation data and real-world measurement data from the launching operation. …”
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Road Traffic Accident Data Standardization System Based on Field Map by Wangfang Yuan, Hanjie Lu, Jiatao Zhang

“…Based on this, firstly, this article establishes a conversion model for the position information and angle information of the left front wheel of the vehicle before and after the accident based on the interaction between the input data of the Crashview system and the on-site map data information. …”
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Security Design for Data Distribution Service Based on Secure Onboard Communication by Fengjun Zhou, Gang Wang, Qun Wang, Yuxing Wang, Jun Wang

“…The core innovations are as follows: 1) Dynamic Security Policy Adaptation across Protocol Layers: By extending the Real-Time Publish-Subscribe protocol of DDS, SecOC security fields (Freshness Value + Message Authentication Code) are embedded into the message structure, and a dynamic mapping mechanism is established between the topic-level Quality of Service policies and the Protocol Data Unit-level security parameters is established. …”
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TRENDS IN THE DEVELOPMENT OF OPEN GOVERNMENT DATA IN EUROPEAN COUNTRIES IN 2022-2024 by Kseniia Mohylna, Vitaliia Koibichuk, Bhola Khan

“…At the same time, there is a trend toward narrowing the gap between countries in terms of political governance of open data. The study concludes that structural inequalities persist among European countries in the development of open data policies, while common vectors of digital transformation are being confirmed. …”
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exoALMA. I. Science Goals, Project Design, and Data Products by Richard Teague, Myriam Benisty, Stefano Facchini, Misato Fukagawa, Christophe Pinte, Sean M. Andrews, Jaehan Bae, Marcelo Barraza-Alfaro, Gianni Cataldi, Nicolás Cuello, Pietro Curone, Ian Czekala, Daniele Fasano, Mario Flock, Maria Galloway-Sprietsma, Himanshi Garg, Cassandra Hall, Iain Hammond, Thomas Hilder, Jane Huang, John D. Ilee, Andrés F. Izquierdo, Kazuhiro Kanagawa, Geoffroy Lesur, Giuseppe Lodato, Cristiano Longarini, Ryan A. Loomis, Frédéric Masset, Francois Menard, Ryuta Orihara, Daniel J. Price, Giovanni Rosotti, Jochen Stadler, Leonardo Testi, Hsi-Wei Yen, Gaylor Wafflard-Fernandez, David J. Wilner, Andrew J. Winter, Lisa Wölfer, Tomohiro C. Yoshida, Brianna Zawadzki

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A systematic review of data privacy in Mobility as a Service (MaaS) by Zineb Garroussi, Antoine Legrain, Sébastien Gambs, Vincent Gautrais, Brunilde Sansò

“…Using the PRISMA framework, a comprehensive literature search across Web of Science, Elsevier, and IEEE Xplore databases resulted in the selection of 32 studies for detailed analysis.The review is structured around three main themes: (1) Privacy-Preserving Techniques, including anonymization strategies (k-anonymity, differential privacy, obfuscation), encryption methods (blockchain, cryptographic protocols), federated learning for decentralized data processing, and advanced algorithms for optimizing privacy budgets and balancing utility-privacy trade-offs; (2) User Trust and Privacy Perceptions, highlighting that trust in service providers is essential for MaaS adoption, privacy concerns may impact adoption but do not necessarily prevent it (the “privacy paradox”), and awareness of data misuse affects user trust and willingness to adopt MaaS; and (3) Regulatory Frameworks, focusing on the importance of GDPR compliance to ensure strict data protection through consent and transparency, and embedding privacy-by-design principles within MaaS architectures to safeguard user data from the outset.This review emphasizes the need for a holistic approach, integrating technological innovation, user-centered design, and strong regulatory oversight to effectively address privacy challenges in MaaS. …”
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Using topological data analysis and machine learning to predict customer churn by Marcel Sagming, Reolyn Heymann, Maria Vivien Visaya

“…An effective way to further improve churn prediction capability of different ML algorithms is through the employment of topological data analysis (TDA). TDA is a framework that applies topological methods to uncover the underlying hidden structural features in complex, high-dimensional data. …”
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R package to estimate intracluster correlation coefficient for nominal and ordinal data by Hrishikesh Chakraborty, Nicole Solomon

“…To facilitate the adoption and use of these estimators we developed an R package, iccmult, which calculates the ICC point estimate and confidence interval (CI) for categorical response data under each of these two methods. Methods: : In this paper we incorporated the resampling based estimation method and MoM originally developed to characterize population genetic structure. …”
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Evaluation and application analysis of animal models of PIPNP based on data mining by Yu Jun, Jin Shengbo, Piao Haozhe, Li Mingzhu

“…Current PIPNP models predominantly utilize 6- to 8-week-old male Sprague-Dawley (SD) rats, with paclitaxel administered at 2 mg/kg on either days 0, 2, 4, and 6 or days 1, 3, 5, and 7. Based on data mining and comparative evaluation of modeling approaches, the use of 6- to 8-week-old male SD rats or 8- to 10-week-old male C57BL/6J mice with paclitaxel administered at 2 mg/kg on days 1, 3, 5, and 7 is recommended for establishing PIPNP models. …”
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Arterial hypertension in Ryazan region: data of the third section of the EPOHA study by E. A. Smirnova, Yu. V. Terekhovskaya, A. A. Molodtsova, S. S. Yakushin

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Facilitated Data Relay and Effects on Treatment of Severe Aortic Stenosis in Europe by Richard P. Steeds, Matthias Lutz, Jeetendra Thambyrajah, Antonio Serra, Eberhard Schulz, Jiri Maly, Marco Aiello, Tanja K. Rudolph, Guy Lloyd, Alessandro Santo Bortone, Karl Eugen Hauptmann, Alberto Clerici, Georg Delle‐Karth, Johannes Rieber, Ciro Indolfi, Massimo Mancone, Loic Belle, Alexander Lauten, Martin Arnold, Berto J. Bouma, Cornelia Deutsch, Jana Kurucova, Martin Thoenes, Peter Bramlage, Norbert Frey, David Messika‐Zeitoun

“…The objective was to investigate whether a structured communication to referring physicians (facilitated data relay) might improve the rate and timeliness of intervention. …”
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A dataset on forest stand structures, deadwood, and tree-related microhabitats along an urban-periurban gradient in Central ItalyFigshare by Costanza Borghi, Soraya Versace, Elena Di Pirro, Davide Travaglini, Gherardo Chirici, Bruno Lasserre, Marco Marchetti, Giovanni D’Amico, Elia Vangi, Saverio Francini, Marco Montella, Giovanni Santopuoli, Marco Ottaviano, Francesco Parisi

“…Other research can employ these data to integrate and compare databases from different cities and forest types. …”
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3D Visualization Method for Surface Defects of Underwater Structures Based on Acoustic and Optical Combination Measurement by Xiang WANG, Jinchao WANG, Houcheng LIU, Wanpeng SONG, Shuqi LI

“…Finally, a three-dimensional visualization system for surface defects of underwater structures is developed by constructing a texture feature image enhancement algorithm, synchronously utilizing sound and light combination data. …”
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A Refinement Reconstruction Method for Indoor Structures Based on 3D Point Cloud Template Matching by B. Cai, S. Tang, W. Wang, L. Xie, X. Li, R. Guo

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Seismic Facies Classification of Salt Structures and Sediments in the Northern Gulf of Mexico Using Self-Organizing Maps by Silas Adeoluwa Samuel, Camelia C. Knapp, James H. Knapp

“…SOM Models 1 and 2, which combined geometric, spectral, and amplitude-based attributes, were shown to delineate potential storage reservoirs, gas hydrates, salt structures, associated radial faults, and areas with poor data quality due to the presence of the salt structures more than SOM Models 3 and 4. …”
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GEOMAPLEARN 1.2: detecting structures from geological maps with machine learning – the case of geological folds by D. Oakley, D. Oakley, C. Loiselet, T. Coowar, T. Coowar, V. Labbe, J.-P. Callot

“…<p>The increasing availability of large geological datasets and modern methods of data analysis facilitate a data science approach to geology in which inferences are drawn from geological data using automated methods based on statistics and machine learning. …”
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Iterative Approach to the Area Collapse Algorithm for 2D Geometric Objects Representing Long Engineering Structures by Michał M. Buczek

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