Real-World Data Confirm That the Integration of Deuterium Depletion into Conventional Cancer Therapy Multiplies the Survival Probability of Patients by Gábor Somlyai, András Papp, Ildikó Somlyai, Beáta Zs Kovács, Mária Debrődi

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Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection by Elsen Ronando, Sozo Inoue

“…While few-shot prompting enables efficient inference with limited labeled data, its performance largely depends on the quality of selected examples. …”
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Constructing hidden differential equations using a data-driven approach with the alternating direction method of multipliers (ADMM) by Jye Ying Sia, Yong Kheng Goh, How Hui Liew, Yun Fah Chang

“…This paper adopted the alternating direction method of multipliers (ADMM) which aims to delve into data-driven differential equations. ADMM is an optimization method designed to solve convex optimization problems. …”
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Big Data in Leadership Studies: Automated Machine Learning Model to Predict Preferred Leader Behavior Across Cultures by Erik Lankut, Gillian Warner-Søderholm, Ilan Alon, Inga Minelgaité

“…Hence, our approach fills a gap in the literature relating to applications of AML in leadership studies and contributes a novel empirical method to better predict leadership preferences. …”
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Effect and safety of pemafibrate for patients with type 2 diabetes mellitus and hypertriglyceridemia: a retrospective analysis of clinical data by Aki Okamoto, Hirohide Yokokawa, Tomoko Nagamine, Kento Goto, Hiroshi Fukuda, Teruhiko Hisaoka, Toshio Naito

“…Clinical trial number Not applicable.…”
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Improving Presentation Attack Detection Classification Accuracy: Novel Approaches Incorporating Facial Expressions, Backdrops, and Data Augmentation by Tayyaba Riaz, Adeel Anjum, Madiha Haider Syed, Semeen Rehman

“…The newly proposed model, which can not only effectively outperform existing PAD solutions, but also achieve admirable flexibility and applicability to novel attack scenarios, truly demonstrates the power of the proposed teacher–student framework. …”
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Assessing Driving Risk Level: Harnessing Deep Learning Hybrid Model With Intercity Bus Naturalistic Driving Data by Wei-Hsun Lee, Che-Yu Chang

“…By collecting naturalistic driving data from intercity buses, the model is trained on an extensive dataset featuring 27,057 journey-based instances, incorporating dynamic GPS data and static journey background information from over 300 drivers. …”
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Biomedical Data Commons (BMDC) prioritizes B-lymphocyte non-coding genetic variants in Type 1 Diabetes. by Samantha N Piekos, Sadhana Gaddam, Pranav Bhardwaj, Prashanth Radhakrishnan, Ramanathan V Guha, Anthony E Oro

“…The repurposing of biomedical data is inhibited by its fragmented and multi-formatted nature that requires redundant investment of time and resources by data scientists. …”
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What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection by Lu Liang, Jacob Daniels

“…Our study not only describes an approach of sophisticated data-driven calibration for practical applications, but also provides insights into the compounding impacts of parameters, samples, and predictors in algorithm performance.…”
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Association study of depressive symptoms and periodontitis in an obese population: Analysis based on NHANES data from 2009 to 2014. by Shuning Li, Jilun Liu, Rui Zhang, Jianfeng Dong

“…<h4>Methods</h4>This study analyzed data from the NHANES database (2009-2014), including 4,820 persons aged 30 years or older with a BMI over 30. …”
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Optimization effect of video data extraction and search based on Faster-RCNN hybrid model on intelligent information systems by Zhang Pei, Chen Zhengyi

“…The swift surge of video content depicts enormous challenges for intelligent information systems in extracting and searching video data. This article explores improvements achieved by introducing a Faster-RCNN hybrid model into video data extraction and search processes. …”
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Transforming Wind Data into Insights: A Comparative Study of Stochastic and Machine Learning Models in Wind Speed Forecasting by Türker Tuğrul, Sertaç Oruç, Mehmet Ali Hınıs

“…Wind speed is a critical parameter for both energy applications and climate studies, particularly under changing climatic conditions and has attracted increasing research interest from the scientific comunity. …”
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Improved rainfall and temperature satellite dataset in areas with scarce weather stations data: case study in Ancash, Peru by Eduardo E. Villavicencio, Katy D. Medina, Edwin A. Loarte, Hairo A. León

“…In this study, we focused on improving existing satellite products for these areas, using Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Measurement (GPM) data for rainfall and Modern Era Retrospective Analysis for Research and Applications Version 2 (MERRA-2) data for air temperature. …”
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Evaluation of confirmatory data following Article 12 MRL review and modification of the existing MRLs in pome fruits for pyridaben by European Food Safety Authority (EFSA), Giulia Bellisai, Giovanni Bernasconi, Alba Brancato, Luis Carrasco Cabrera, Irene Castellan, Monica Del Aguila, Lucien Ferreira, German Giner Santonja, Luna Greco, Samira Jarrah, Renata Leuschner, Jose Oriol Magrans, Ileana Miron, Stefanie Nave, Ragnor Pedersen, Hermine Reich, Tobin Robinson, Silvia Ruocco, Miguel Santos, Alessia Pia Scarlato, Anne Theobald, Alessia Verani

“…Abstract In accordance with Article 6 of Regulation (EC) No 396/2005, the applicant Nissan Chemical Europe SAS submitted a request to the competent national authority in the Czech Republic to modify the existing maximum residue levels (MRLs) in pome fruits and to evaluate the confirmatory data identified in the framework of the MRL review under Article 12 of Regulation (EC) No 396/2005 as not available. …”
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Active-learning-driven error control for data-driven state of charge estimation across the lithium battery lifecycle by Jinwei Xue, Xuzhi Du, Lei Zhao, Zhigang Yang, Chao Xia, Yuan Ma, Muhammad Jahidul Hoque, Wuchen Fu, Xiao Yan, Nenad Miljkovic

“…This work establishes a path toward uncertainty-informed, lifecycle-resilient, and data-efficient SOC estimation, marking a significant advancement in battery management systems for real-world EV applications.…”
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Visualization of four-dimensional X-ray absorption fine structure data using a virtual reality system by Haruo Igarashi, Daiki Kido, Yutaka Ishii, Yasuhiro Niwa, Atsushi Okamoto, Masao Kimura

“…Our methodology establishes a new platform for analyzing 4D or 5D XAFS data that has applicability potential in various other multidimensional datasets, including microstructures coupled with spectroscopy and diffraction data.…”
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VR Co-Lab: A Virtual Reality Platform for Human–Robot Disassembly Training and Synthetic Data Generation by Yashwanth Maddipatla, Sibo Tian, Xiao Liang, Minghui Zheng, Beiwen Li

“…This system establishes a sandbox training framework for HRC in disassembly, leveraging VR and AI-driven feedback to improve skill acquisition, task efficiency, and training scalability across industrial applications.…”
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Targeted lipidomics dataset of central nervous system and plasma from mice with experimental autoimmune encephalomyelitisMendeley Data by Jörn Lötsch, Irmgard Tegder, Natasja de Bruin, Dominique Thomas, Gerd Geisslinger

“…It supports statistical and machine learning applications and enables the evaluation of data augmentation strategies, including statistical and generative AI approaches. …”
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Multidisciplinary stakeholder engagement in a type 2 diabetes comparative effectiveness study utilizing real-world data by Elizabeth H. Golembiewski, Mindy M. Mickelson, Juan P. Brito, Victor M. Montori, Rozalina G. McCoy

“…However, examples of engagement practices for CER leveraging real-world data (i.e., data from routine clinical practice) are scarce. …”
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DIGITAL DATA-DRIVEN APPROACHES TO MONITOR AND FOSTER WELL-BEING AMONG EXCHANGE STUDENTS DURING DISRUPTIVE EVENTS by Anastasiia Volkova, Nadiia Dets, Olshevska Olga, Yulia Tsarynna, Liudmyla Fihurska

“…Special attention is given to ethical data use, privacy protection, and accessibility of technologies within educational contexts. …”
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