Bridging the Past and Future of Clinical Data Management: The Transformative Impact of Artificial Intelligence by Musik S, Sasin-Kurowska J, Panczyk M

“…The review concludes on different artificial intelligence/machine learning techniques like natural language processing, predictive analytics, and automation technologies, and their applications in improving data quality and streamlining clinical data workflows.Keywords: clinical data management, artificial intelligence, machine learning, natural language processing, clinical data science, electronic data capture…”
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A Structured Dataset for Automated Grading: From Raw Data to Processed Dataset by Ibidapo Dare Dada, Adio T. Akinwale, Ti-Jesu Tunde-Adeleke

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Credibility-Adjusted Data-Conscious Clustering Method for Robust EEG Signal Analysis by Fatemeh Divan, Teh Ying Wah, Kheng Seang Lim, Ali Seyed Shirkhorshidi

“…However, traditional methods struggle with noise, overlapping distributions, and high-dimensional data. This study presents the Credibility-Adjusted Data Conscious Clustering Method (CADCCM), an adaptive computational learning model for clustering neurodata, including EEG signals. …”
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Organizing and Querying the Big Sensing Data with Event-Linked Network in the Internet of Things by Yunchuan Sun, Hongli Yan, Junsheng Zhang, Ye Xia, Shenling Wang, Rongfang Bie, Yingjie Tian

“…How to organize and how to query the big sensing data are big challenges for intelligent applications. …”
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A Set of Tools and Data Management Framework for the IoT–Edge–Cloud Continuum by Janis Judvaitis, Eduards Blumbergs, Audris Arzovs, Andris Ivars Mackus, Rihards Balass, Leo Selavo

“…These contributions collectively address the critical challenges inherent in heterogeneous environments such as scalability, data privacy, and configuration management by standardizing data flow configurations and increasing stakeholder trust in sensitive applications, particularly in critical infrastructure monitoring.…”
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Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods by J. Papuga, S. Parma, M. Ruzicka

“…Papuga in [1] pointed out, that applicability of the most often used test batch is limited and only half of these data items is worth using for such purposes. …”
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The Data Artifacts Glossary: a community-based repository for bias on health datasets by Rodrigo R. Gameiro, Naira Link Woite, Christopher M. Sauer, Sicheng Hao, Chrystinne Oliveira Fernandes, Anna E. Premo, Alice Rangel Teixeira, Isabelle Resli, An-Kwok Ian Wong, Leo Anthony Celi

“…It categorizes biases, and facilitates their identification and understanding. Conclusion The Data Artifacts Glossary serves as a vital resource for enhancing the integrity of AI applications in healthcare by providing a mechanism to recognize and mitigate dataset biases before they impact AI outputs. …”
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pytopicgram: A library for data extraction and topic modeling from Telegram channels by Juan Gómez-Romero, Javier Cantón Correa, Rubén Pérez Mercado, Francisco Prados Abad, Miguel Molina-Solana, Waldo Fajardo

“…Key functionalities include efficient message retrieval, computation of engagement metrics, and advanced topic modeling. By automating the data extraction and analysis pipeline, pytopicgram simplifies the investigation of how content spreads, how topics evolve, and how audiences interact on Telegram. …”
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Clustering Visual Similar Objects for Enhanced Synthetic Image Data for Object Detection by Julian Rolf, Detlef Gerhard, Pero Kosic

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Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics by Saurabh Sharma, Vijay Kumar Gahlawat, Kumar Rahul, Rahul S Mor, Mohit Malik

“…The agri-food sector is an endless source of expansion for nourishing a vast population, but there is a considerable need to develop high-standard procedures through intelligent and innovative technologies, such as artificial intelligence (AI) and big data. This paper addresses the research concerning AI and big data analytics in the food industry, including machine learning, artificial neural networks (ANNs), and various algorithms. …”
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Power-Data-Asset Trading Platform Architecture Based on Double-chained Blockchain by Jieyu LIN, Weiping CUI

“…We then discussed applications of blockchain-data-control and put forward the concept of interactive double-chained blockchain based on principles of genetics. …”
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Data-Driven Security Measurements to Improve Safety in NYC and NJ Mass Transit by Nithya Nalluri, Michael Bsales, Christie Nelson

“…This paper aims to develop an understanding of the current state of security check systems as applicable to high-traffic subway stations. We also worked towards creating a proof-of-concept risk analysis model using crime and other types of publicly available data for the New York City and New Jersey transit regions.…”
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Tensor tree learns hidden relational structures in data to construct generative models by Kenji Harada, Tsuyoshi Okubo, Naoki Kawashima

“…The proposed method offers enhanced performance and uncovers hidden relational structures in the target data. We illustrate potential practical applications with four examples: (i) random patterns, (ii) QMNIST handwritten digits, (iii) Bayesian networks, and (iv) the pattern of stock price fluctuation pattern in S&P500. …”
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spVelo: RNA velocity inference for multi-batch spatial transcriptomics data by Wenxin Long, Tianyu Liu, Lingzhou Xue, Hongyu Zhao

“…Here, we introduce spVelo, a scalable framework for RNA velocity inference of multi-batch spatial transcriptomics data. spVelo supports several downstream applications, including uncertainty quantification, complex trajectory pattern discovery, driver marker identification, gene regulatory network inference, and temporal cell-cell communication inference. spVelo has the potential to provide deeper insights into complex tissue organization and underscore biological mechanisms based on spatially resolved patterns.…”
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Boosting 3D Object Detection with Adversarial Adaptive Data Augmentation Strategy by Shihao Li, Jingsong Li, Jianghua Fu, Qiuyue Chen

“…In real-world applications, autonomous driving systems need to handle a variety of complex scenarios, such as object occlusion and lighting changes. …”
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The Transfer of Information as a Principle of Musical Creation: Between Data and Meaning (I) by Sebastian ANDRONE-NAKANISHI

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tramoTDA: A trajectory monitoring system using Topological Data Analysis by Miriam Esteve, Antonio Falcó

“…This tool offers a unique approach by focusing on the data’s topological properties, which enables the identification of subtle and critical patterns often missed by conventional methods. tramoTDA combines scientific rigor with user-friendly design, making it suitable for both technical and non-technical users in diverse applications such as urban planning and maritime navigation. …”
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Potential of using transcriptome sequencing data in choosing therapy for patients with colorectal cancer by S. V. Apalko, V. S. Shimansky, A. Kel, N. N. Sushentseva, N. V. Tyukavina, S. A. Kovalenko, S. G. Shcherbak

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Methods for identifying health status from routinely collected health data: An overview by Mei Liu, Ke Deng, Mingqi Wang, Qiao He, Jiayue Xu, Guowei Li, Kang Zou, Xin Sun, Wen Wang

“…The use of routinely collected health data (RCD) is currently helping to accelerate publications that evaluate the effectiveness and safety of medicines and medical devices. …”
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Real-time fear emotion recognition in mice based on multimodal data fusion by Hao Wang, Zhanpeng Shi, Ruijie Hu, Xinyi Wang, Jian Chen, Haoyuan Che

“…By integrating and analyzing these distinct data sources through feature encoders and attention classifiers, we developed a robust emotion classification model. …”
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