TAME Pain data release: using audio signals to characterize pain by Tu-Quyen Dao, Eike Schneiders, Jennifer Williams, John Robert Bautista, Tina Seabrooke, Ganesh Vigneswaran, Rishik Kolpekwar, Ritwik Vashistha, Arya Farahi

“…This dataset stands as the largest of its kind to date and includes comprehensive annotations detailing background noise, speech errors, and non-speech vocal features, maximizing its utility for in-depth audio analysis. Our dataset is designed to support the development of reliable, non-invasive pain assessment technologies, particularly in telemedicine and remote healthcare settings. …”
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CAV-generated mobility data modeling mechanism for adaptive signal control by Wei Lin, Heng Wei, Lan Yang, Xiangmo Zhao

“…A proof-of-concept study has been conducted to test the developed models via comparison of the CV/AV-data-driven scenario and the traditional-detection-data-supported scenarios. …”
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Monitoring the FAIRness of geospatial data: Lessons learnt from the European Union by M. Minghini, J. Escriu, A. Kotsev

“…A shift would be needed to more user-centric monitoring approaches, which originate from user needs and assess the actual value generated from data reuse. The analysis also demonstrated the importance of employing automated, transparent and reproducible monitoring processes powered by open source tools, as well as the need to define an inclusive governance approach grounded on a continuous involvement, dialogue and trust with the affected stakeholders.…”
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Mining Frequent Sequences with Time Constraints from High-Frequency Data by Ewa Tusień, Alicja Kwaśniewska, Paweł Weichbroth

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Improving spatiotemporal data fusion method in multiband images by distributing variates by Yihua Jin, Zhenhao Yin, Weihong Zhu, Dongkun Lee

“…Abstract Several spatiotemporal data fusion methods have been developed to generate continuous fine-resolution satellite imagery using widely available datasets. …”
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Research on Real Time Data Processing and Application of Urban Rail Train by ZENG Gaoping, WANG Lei

“…This paper mainly expounds a portable, scalable and efficient processing method base on train real-time data, which realizes the functions of rapid data verification, analysis, storage, sharing, push, etc., and supports the application system to realize real-time train monitoring and emergency response and disposal guidance, train daily inspection items self-inspection and other functions. …”
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Data Rate Estimation for Wireless Core-to-Cache Communication in Multicore CPUs by Maria S. Komar, V. Petrov, K. Borunova, D. Moltchanov, E. Koucheryavy

“…For each load type the amount of data transmitted through the L2-L3 interface is reported for various input parameters including the number of active cores and their dependences on the number of cores and operational frequency.…”
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Personal Data in Artificial Intelligence Systems: Natural Language Processing Technology by I. G. Ilin

“…The author touches upon the possibility of using personal data as a consideration, which is important for the development of natural language processing technology and for the improvement of the information and communication technology industry.Scientific novelty: the paper supplements the scientific discussion on the legal regulation of personal data processing by artificial intelligence systems with an analysis of natural language processing technology. …”
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Subnational variations in the quality of household survey data in sub-Saharan Africa by Valentin Seidler, Edson C. Utazi, Amelia B. Finaret, Sebastian Luckeneder, Gregor Zens, Maksym Bodarenko, Abigail W. Smith, Sarah E. K. Bradley, Andrew J. Tatem, Patrick Webb

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Modern Deep Learning Techniques for Big Medical Data Processing in Cloud by Mohammed Y. Shakor, Mustafa Ibrahim Khaleel

“…The recent advancements in Machine Learning (ML) and Deep Learning (DL) provide a new dimension in biomedical big data analysis, while the cloud computing technologies present the breakthroughs of handling massive data from hardware, software, and storage. …”
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RNA Amplification Results in Reproducible Microarray Data with Slight Ratio Bias by László G. Puskás, Ágnes Zvara, László Hackler, Paul Van Hummelen

“…RNA amplification techniques have been developed to overcome this problem, but limited data are available regarding the reproducibility and maintenance of original transcript ratios. …”
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A new, fast method to search for morphological convergence with shape data. by Silvia Castiglione, Carmela Serio, Davide Tamagnini, Marina Melchionna, Alessandro Mondanaro, Mirko Di Febbraro, Antonio Profico, Paolo Piras, Filippo Barattolo, Pasquale Raia

“…We introduce a new test for morphological convergence working directly with non-ultrametric (i.e. paleontological) as well as ultrametric phylogenies and multivariate data. The method (developed as the function search.conv within the R package RRphylo) tests whether unrelated clades are morphologically more similar to each other than expected by their phylogenetic distance. …”
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A Study of Data-Driven Enterprise Human Resource Management Model by Jing Yang, Lili Lang, Shaojuan Song

“…Compared with the management mode based on trapezoidal data analysis and cluster center adopted in the current mainstream enterprise human resource management research, the innovation of this algorithm is to analyze the dynamic data of corporate social responsibility and enterprise human resources and establish a coupling model related to corporate social responsibility. …”
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Integrating information from historical data into mechanistic models for influenza forecasting. by Alessio Andronico, Juliette Paireau, Simon Cauchemez

“…As a result, forecasts from such models can contain trajectories that are vastly different from past epidemics. We developed a mechanistic model that takes into account epidemic data from training seasons when producing forecasts. …”
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A Novel Method of Data Protection Through DNA Chromosome Databases by Sadoon Hussein, Ahmed Sami

“…The security and reliability of the proposed methodology were thoroughly tested through simulation and data analysis. The results indicate that the proposed encryption methodology has a superior ability to withstand many types of cryptographic attacks, which confirms its effectiveness and strength in data protection. …”
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Gravity Predictions in Data-Missing Areas Using Machine Learning Methods by Yubin Liu, Yi Zhang, Qipei Pang, Sulan Liu, Shaobo Li, Xuguo Shi, Shaofeng Bian, Yunlong Wu

“…In recent years, the rapid development of artificial intelligence has opened up a new opportunity for data prediction. …”
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The openBIS Digital Platform for Instrumentation and Data Workflow in the Analytical Laboratory by Yousuf Hemani, Kilian Koch, Oscar Mendo-Diaz, Anusch Bachhofner, Simone Baffelli, Davide Bleiner

“…In this paper, solutions to adapt openBIS as a digital platform to integrate the laboratory data workflow in chemical analysis and for spectroscopy instruments are presented. …”
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AI Innovations in Liver Transplantation: From Big Data to Better Outcomes by Eleni Avramidou, Dominik Todorov, Georgios Katsanos, Nikolaos Antoniadis, Athanasios Kofinas, Stella Vasileiadou, Konstantina-Eleni Karakasi, Georgios Tsoulfas

“…Artificial intelligence (AI) has emerged as a transformative field in computational research with diverse applications in medicine, particularly in the field of liver transplantation (LT) given its ability to analyze and build upon complex and multidimensional data. This literature review investigates the application of AI in LT, focusing on its role in pre-implantation biopsy evaluation, development of recipient prognosis algorithms, imaging analysis, and decision-making support systems, with the findings revealing that AI can be applied across a variety of fields within LT, including diagnosis, organ allocation, and surgery planning. …”
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Effective Education System for Athletes Utilising Big Data and AI Technology by Martin Mičiak, Dominika Toman, Roman Adámik, Ema Kufová, Branislav Škulec, Nikola Mozolová, Aneta Hoferová

“…Our study combines secondary and primary data sources. The secondary data (used in the orientation analysis) include case studies on AI and Big Data connected to education. …”
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The Future of Vineyard Irrigation: AI-Driven Insights from IoT Data by Simona Stojanova, Mojca Volk, Gregor Balkovec, Andrej Kos, Emilija Stojmenova Duh

“…The low value of the statistical analysis (<i>p</i>-value = 0.0009) of a paired <i>t</i>-test confirmed that the improvement is significant. …”
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