Predicting Solar Energetic Particle Events with Time Series Shapelets by Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi

“…We leverage some of the most recent advances in time series data mining, such as shapelets and the matrix profile, to propose a simple and easily understandable prediction approach. …”
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Cell-Specific Regulation of Inflammatory Cytokines and Acute-Phase Proteins by the Glucocorticoid Receptor by Rebecca Winkler, Hong Lu

“…Background. Literature and data mining found abnormal induction of chemokine (C-X-C motif) ligand 1 (CXCL1) and CXCL8 and down-regulation of CXCL2 in inflammatory liver diseases. …”
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Quality, topics, and demographic trends of animal systematic reviews - an umbrella review by Bernard Friedrich Hild, David Brüschweiler, Sophia Theodora Katharina Hild, Julia Bugajska, Viktor von Wyl, Marianna Rosso, Kimberley Elaine Wever, Eva Furrer, Benjamin Victor Ineichen

“…Methods We performed an umbrella review of animal systematic reviews, searching Medline and Embase for reviews until January 27, 2023. A data mining method was developed and validated to automatically evaluate the quality of these reviews. …”
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Detection and interpretation of the time-varying seasonal signals in China with multi-geodetic measurements by Liansheng Deng, Yugang Xiao, Qusen Chen, Wei Peng, Zhao Li, Hua Chen, Zhiwen Wu

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Predicting the Botanical Origin of Honeys with Chemometric Analysis According to Their Antioxidant and Physicochemical Properties by Anna Maria Kaczmarek, Małgorzata Muzolf-Panek, Jolanta Tomaszewska-Gras, Piotr Konieczny

“…Also Principal Component Analysis (PCA) and Cluster Analysis (CA) were performed as initial steps of data mining. The datasets consisted of 72 honey samples (false acacia, rape, buckwheat, honeydew, linden, nectar-honeydew and multifloral) obtained from different regions of Poland and collected between April 2014 and November 2016. …”
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Evaluation of Sharia-based Sustainability Reporting Framework Influenced by the Emergence of Metaverse Axes in Accounting by Hossein Keshavarzi Nejhad, Maryam Shahri, Vahid Oskou, Mohammad Reza Abdoli

“…In the quantitative part, the result indicates the determination of the development of the data mining process in accounting analysis as the most central influence on the dimension of adherence to Sharia ethics in sustainability reporting. …”
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Metabolic and epigenetic regulation of macrophage polarization in atherosclerosis: Molecular mechanisms and targeted therapies by Pinglian Yang, Xiaoling Rong, Zhechang Gao, Jiaojiao Wang, Zhiping Liu

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Predicting high sensitivity C-reactive protein levels and their associations in a large population using decision tree and linear regression by Somayeh Ghiasi Hafezi, Toktam Sahranavard, Alireza Kooshki, Marzieh Hosseini, Amin Mansoori, Elham Amir Fakhrian, Helia Rezaeifard, Mark Ghamsary, Habibollah Esmaily, Majid Ghayour-Mobarhan

“…This study was conducted on a population of 9704 males and females aged 35 to 65 years recruited from the Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD) cohort study. We utilized a data mining approach to construct a predictive model of hs-CRP measurements, employing the DT methodology. …”
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Tuberculosis and COVID-19: Lessons from the Past Viral Outbreaks and Possible Future Outcomes by Radu Crisan-Dabija, Cristina Grigorescu, Cristina-Alice Pavel, Bogdan Artene, Iolanda Valentina Popa, Andrei Cernomaz, Alexandru Burlacu

“…The PubMed electronic database was systematically searched for relevant articles linking TB, influenza, and SARS-CoV viruses and subsequently assessed eligibility according to inclusion criteria. Using a data mining approach, we also queried the COVID-19 Open Research Dataset (CORD-19). …”
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Anomaly Usage Behavior Detection Based on Multi-Source Water and Electricity Consumption Information by Wenqing Zhou, Chaoqiang Chen, Qin Yan, Bin Li, Kang Liu, Yingjun Zheng, Hongming Yang, Hui Xiao, Sheng Su

“…Specifically, the correlation between water and electricity usage of residential customers is analyzed based on real metering data and the use of the Copula distribution function, followed by the integration of two innovative data mining techniques to form an anomaly detection framework. …”
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Exploring diazotrophic diversity: unveiling Nif core distribution and evolutionary patterns in nitrogen-fixing organisms by Bruno Thiago de Lima Nichio, Roxana Beatriz Ribeiro Chaves, Fábio de Oliveira Pedrosa, Roberto Tadeu Raittz

“…Using this Nif database and a data mining strategy, we extended our analysis to 711 species and found that 544 contain the Nif core. …”
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Advanced automated machine learning framework for photovoltaic power output prediction using environmental parameters and SHAP interpretability by Muhammad Paend Bakht, Mohd Norzali Haji Mohd, Babul Salam KSM Kader Ibrahim, Nuzhat Khan, Usman Ullah Sheikh, Ab Al-Hadi Ab Rahman

“…For practical applications, a novel data mining method is also proposed to identify primary environmental drivers of PV performance using bivariate data analysis. …”
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A Multiple-detection-heads Machine Learning Algorithm for Detecting White Dwarfs by Jiangchuan Zhang, Yude Bu, Mengmeng Zhang, Duo Xie, Zhenping Yi

“…In recent years, machine learning has played a significant role in astronomical data mining, due to its speed, real time, and precision. …”
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Post-marketing safety surveillance for the recombinant zoster vaccine (Shingrix), vaccine adverse event reporting system, United States, October 2017–April 2024 by Yamin Shu, Wenxin Cheng, Xucheng He, Liu Huang, Wei Chen, Qilin Zhang

“…The empirical Bayesian data mining was employed to identify potential disproportionalities in reporting. …”
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The Underlying Molecular Basis and Mechanisms of Venous Thrombosis in Patients with Osteomyelitis: A Data-Driven Analysis by Peisheng Chen, Yinhuan Liu, Xiaofeng Lin, Bin Yu, Bin Chen, Fengfei Lin

“…Conclusion. This is the first data-mining study to explore shared signatures between OM and VTE by the integrated bioinformatic approach, which can help uncover potential biomarkers and therapeutic targets of OM-related VTE.…”
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An Experimental Investigation on the Relationship between MS Frequency Response and Coal and Gas Outburst by Quanjie Zhu, Qingsong Li, Yu Feng, Xianwei Heng, Shaoquan Li, Tao Yang

“…Microseismic (MS) frequency response is an important part of high-efficiency data mining to achieve the aim of coal and gas outburst (CGOB) early warning. …”
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Medium Energy Electron Flux in Earth's Outer Radiation Belt (MERLIN): A Machine Learning Model by A. G. Smirnov, M. Berrendorf, Y. Y. Shprits, E. A. Kronberg, H. J. Allison, N. A. Aseev, I. S. Zhelavskaya, S. K. Morley, G. D. Reeves, M. R. Carver, F. Effenberger

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Discovery and characterization of complete genomes of 38 head-tailed proviruses in four predominant phyla of archaea by Tianqi Xu, Yimin Ni, Hailing Li, Shuang Wu, Shuling Yan, Lanming Chen, Yongxin Yu, Yongjie Wang

“…The present study revealed the complete genomes of 38 archaeal head-tailed proviruses through comprehensive data mining. The hosts of these proviruses were identified as belonging to the following four dominant phyla: Halobacteriota, Thermoplasmatota, Thermoproteota, and Nanoarchaeota. …”
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Development of Personas and Journey Maps for Artificial Intelligence Agents Supporting the Use of Health Big Data: Human-Centered Design Approach by Yoon Heui Lee, Hanna Choi, Soo-Kyoung Lee

“…Common analysis methods included statistical analysis (n=7, 44%) and data mining (n=6, 38%). Qualitative findings from shadowing and in-depth interviews revealed key challenges: lack of knowledge on using analytical solutions, crisis management difficulties during errors, and inadequate understanding of health care data and clinical decision-making, especially among non–health care professionals. …”
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Probabilistic prediction of aero engine remaining useful life based on Bayesian graph attention transformer by Yanyan HU, Yating BAI

“…Deep learning’s powerful data mining capabilities provide a novel approach to predicting the remaining useful life of aero engines using vast amounts of historical data. …”
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