Optimal Instruments for Measurement of Dietary Intake, Physical Activity, and Sleep Among Adults in Population‐Based Studies: Report of a National Heart, Lung, and Blood Institute... by Gabriel Anaya, Kelley Pettee Gabriel, Marie‐Pierre St‐Onge, Linda V. van Horn, Alfonso Alfini, Sylvia E. Badon, Carol Boushey, Alison Brown, Christopher M. Depner, Keith M. Diaz, Aiden Doherty, Erin E. Dooley, Dorothea Dumuid, Julio Fernandez‐Mendoza, Michael A. Grandner, Kirsten A. Herrick, Frank B. Hu, Kristen L. Knutson, Amanda Paluch, Charlotte A. Pratt, Jared P. Reis, Jennifer Schrack, Marissa M. Shams‐White, Diana Thomas, Katherine L. Tucker, Maya K. Vadiveloo, Dana L. Wolff‐Hughes, Yuling Hong

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The impact of information management strategies on decision-making effectiveness in Jordanian private hospitals by Dhia Qasim, Abdallah Q. Bataineh, Waheeb Abu-Dawwas

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Perspective Transformation and Viewpoint Attention Enhancement for Generative Adversarial Networks in Endoscopic Image Augmentation by Laimonas Janutėnas, Dmitrij Šešok

“…This study presents an enhanced version of the StarGAN model, with a focus on medical applications, particularly endoscopic image augmentation. …”
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Exploring the research trend and development of sports science technology in the last 4 decades: systematic review by Andhega Wijaya, Muchamad Arif Al Ardha, Nurhasan Nurhasan, Chung Bing Yang, Ru Han Lin, Andika Bayu Putro

“…Keywords: technological advancements, sensor technology, big data analytics, virtual reality in sports …”
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Behavioural user segmentation of app users based on functionality interaction patterns by Li-Yoong Ooi, Choo-Yee Ting, Helmi Zakariah, Eashvaren Chandar

“…The findings revealed that Density-Based Spatial Clustering of Applications with Noise that leveraged on One-hot Encoding and data representation learning via an autoencoder performed best, with a Silhouette score of 0.36. …”
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A novel blockchain-based privacy-preserving framework for online social networks by Shiwen Zhang, Tingting Yao, Voundi Koe Arthur Sandor, Tien-Hsiung Weng, Wei Liang, Jinshu Su

“…In recent years, there are some research works to address this privacy issue, yet they do not always focus on providing the normal social network services for users, such as data sharing, data retrieval and data access services. …”
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Enhancing Streamflow Prediction Accuracy: A Comprehensive Analysis of Hybrid Neural Network Models with Runge–Kutta with Aquila Optimizer by Rana Muhammad Adnan, Wang Mo, Ahmed A. Ewees, Salim Heddam, Ozgur Kisi, Mohammad Zounemat-Kermani

“…The study advocates for the 75–25% train-test data splitting scenario for optimal performance in data-driven methodologies. …”
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Incorporating Deep Learning Into Hydrogeological Modeling: Advancements, Challenges, and Future Directions by Zhenxue Dai, Chuanjun Zhan, Huichao Yin, Junjun Chen, Lulu Xu, Yuzhou Xia, Songlin Yang, Wei Chen, Mingxu Cao, Zhengyang Du, Xiaoying Zhang, Bicheng Yan, Yue Ma, Hao Wang, Farzad Moeini, Mohamad Reza Soltanian, Hung Vo Thanh, Kenneth C. Carroll

“…Although recent applications of DL in hydrogeology have shown potential, many models are still in the testing phase due to limited hydrogeological data, the “black box” nature of DL models hindering interpretability, and the substantial computational resources needed for training. …”
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KRID: A Large-Scale Nationwide Korean Road Infrastructure Dataset for Comprehensive Road Facility Recognition by Hyeongbok Kim, Eunbi Kim, Sanghoon Ahn, Beomjin Kim, Sung Jin Kim, Tae Kyung Sung, Lingling Zhao, Xiaohong Su, Gilmu Dong

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THE ROLE OF ARTIFICIAL INTELLIGENCE IN PERSONALISED MEDICINE: ADVANCEMENTS, CHALLENGES, AND FUTURE PERSPECTIVES by Ioana-Marcela PĂCURARU, Ciprian-Sorin CHIRVASE, Ştefan-Ioan TIRITEU

“…By leveraging vast amounts of data, AI enhances early disease detection, tailors treatments to individual patients, and optimises medical resource management. …”
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Enhancing high pressure pulsation test bench performance: a machine learning approach to failure condition tracking by Aslı Aksoy, Ömer Haki

“…The findings of this study provide a basis for the development of the company’s data-driven smart predictive maintenance applications while providing an increase in the operational efficiency of HPPT benches. …”
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Entering the Emperor’s Villa: an integrated methodology to enrich cognitive accessibility of an archaeological site by Silvia Bertacchi, Benedetta Adembri

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A Reanalysis Precipitation Integration Method Utilizing the Generalized Three-Cornered Hat Approach and High-Resolution, Gauge-Based Datasets by Lilan Zhang, Xiaohong Chen, Bensheng Huang, Jie Liu, Daoyi Chen, Liangxiong Chen, Rouyi Lai, Yanhui Zheng

“…The development of high-precision, long-term, hourly-scale precipitation data is essential for understanding extreme precipitation events. …”
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3-D UXSE-Net for Seismic Channel Detection Based on Satellite Image Enhanced Synthetic Datasets by Xinke Zhang, Yihuai Lou, Naihao Liu, Daosheng Ling, Yunmin Chen

“…However, insufficient labeled training data remains a key challenge for refining DL models. …”
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Credit Scoring Prediction Using Deep Learning Models in the Financial Sector by Xi Shi, Dingfen Tang, Yike Yu

“…The increasing complexity and volume of financial and behavioral data in modern credit scoring and risk assessment present significant challenges to traditional modeling methods. …”
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Estimating reference intervals from an IPD meta-analysis using quantile regression by Ziren Jiang, Haitao Chu, Zhen Wang, M. Hassan Murad, Lianne K. Siegel

“…Methods With the availability of individual participant data (IPD), non-parametric methods can be used to estimate reference intervals without any distributional assumptions. …”
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The role of mathematics in transdisciplinarity content of modern education by V. A. Testov, E. A. Perminov

“…The result is transdisciplinary branches of science such as cybernetics, disaster theory, synergetics, artificial intelligence, big data, etc. All these concepts have been developed on the basis of the achievements of mathematics over the past 70-80 years, the era of mathematical sciences. …”
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Enabling scalable single-cell transcriptomic analysis through distributed computing with Apache spark by Asif Adil, Namrata Bhattacharya, Aadam, Naveed Jeelani Khan, Mohammed Asger

“…We demonstrate the utility of our framework and algorithms through a series of experiments on real-world scRNA-seq data. Overall, our results suggest that scSPARKL represents a powerful and flexible tool for the analysis of single-cell transcriptomic data, with broad applications across the fields of biology and medicine.…”
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Graph-Based Radiomics Feature Extraction From 2D Retina Images by Ofelio Jorreia, Nuno Goncalves, Rui Cortesao

“…The radiomics approach addresses this need by combining quantitative image analysis with Machine Learning (ML) techniques, further enhancing Explainable Artificial Intelligence (XAI) for clinical applications. While working with two-dimensional (2D) images derived from volumetric data offers computational advantages, accurately estimating structural properties within these images remains challenging. …”
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Prediction of the Next Solar Rotation Synoptic Maps Using an Artificial Intelligence–based Surface Flux Transport Model by Hyun-Jin Jeong, Mingyu Jeon, Daeil Kim, Youngjae Kim, Ji-Hye Baek, Yong-Jae Moon, Seonghwan Choi

“…Using synthetic input data with bipolar structures, we confirm that our model successfully reproduces differential rotation and meridional flow. …”
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