Situational analysis of the quality of maternal, child, and adolescent health data in the health districts of Thiès, Mbour, Kédougou, and Saraya in Senegal by Fatoumata Binetou Diongue, Adama Faye, Cheikh Loucoubar, Ndèye Marème Sougou, Ibrahima Sy, Adama Tall, Youssoupha Ndiaye, Samba Cor Sarr

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Clinical and immunological phenotypes of systemic lupus erythematosus, identified based on cluster analysis of data from 400 patients from V.A. Nasonova Research Institute of Rheum... by E. A. Aseeva, A. M. Lila, S. K. Soloviev, E. L. Nasonov, S. I. Glukhova

“…Clusters differed in clinical, laboratory and immunological parameters, as well as in therapy.Conclusion. Cluster analysis data made it possible to group the selected signs into five clinical and immunological variants (phenotypes) of SLE. …”
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Assessment of sand nourishment dynamics under repeated storm impact supported by machine learning-based analysis of UAV data by Jan Tiede, Joshua Leon Lovell, Christian Jordan, Armin Moghimi, Torsten Schlurmann

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Mapping the Digital Media Landscape in Bulgaria: Analysis of Web Publications by Plamen Hristov Milev

“…This study explores the thematic structure and editorial focus of the digital media landscape in Bulgaria by analyzing one year of online news publications from eight major media outlets. The data were collected through a custom-built web scraping application developed in Java, which enabled the automated extraction and processing of full-text articles from publicly accessible news websites. …”
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Sherlock-Genome: an R Shiny application for genomic analysis and visualization by Alyssa Klein, Jun Zhong, Maria Teresa Landi, Tongwu Zhang

“…However, managing, visualizing, and integratively analyzing WGS results across various bioinformatic pipelines remains challenging, particularly for non-bioinformaticians, hindering the usability of WGS data for biological discovery. Results We developed Sherlock-Genome, an R Shiny app for data harmonization, visualization, and integrative analysis of WGS-based cancer genomics studies. …”
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Reducing under-five mortality in Tanzania: insights from a 60-years data analysis on economic and health indicators by Mohamed K. Mwanga, Silas Mirau, Jean M. Tchuenche, Isambi S. Mbalawata

“…Missing values are generated through the linear trend at point method. To analyses the data, correlation analysis and Bayesian linear regression are employed. …”
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Analysis of Gene Expression Omnibus high-throughput sequencing data for the determination of microribonucleic acids in the blood plasma of patients with glioblastomas by A. A. Pushkin, D. Yu. Gvaldin, N. N. Timoshkina, E. E. Rostorguev, L. Yu. Vladimirova, E. A. Dzenkova

“…For significant miRNAs, target genes have been performed, an analysis of the improvement of functional characteristics and interactome analysis of target genes of miRNA were performed.Results. …”
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Research trends in evidence-based medicine: a joinpoint regression analysis of more than 50 years of publication data. by Bui The Hung, Nguyen Phuoc Long, Le Phi Hung, Nguyen Thien Luan, Nguyen Hoang Anh, Tran Diem Nghi, Mai Van Hieu, Nguyen Thi Huyen Trang, Herizo Fabien Rafidinarivo, Nguyen Ky Anh, David Hawkes, Nguyen Tien Huy, Kenji Hirayama

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Public Opinion on Lockdown (PSBB) Policy in Overcoming COVID-19 Pandemic in Indonesia: Analysis Based on Big Data Twitter by Catur Suratnoaji, Nurhadi, Irwan Dwi Arianto

“…For the methodological development of future public opinion research, the researchers outline the obstacles faced in researching public opinion based on big data from Twitter. …”
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Time-Series Data-Driven PM_2.5 Forecasting: From Theoretical Framework to Empirical Analysis by Chunlai Wu, Ruiyang Wang, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng

“…This review comprehensively explores the progress of PM_2.5 concentration prediction, covering bibliometric trends, time series data characteristics, deep learning applications, and future development directions. …”
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Integrating Artificial Intelligence into an Automated Irrigation System by Nicoleta Cristina Gaitan, Bianca Ioana Batinas, Calin Ursu, Filaret Niculai Crainiciuc

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A Study on the Social Perception of Risks From Electromagnetic Wave—Focusing on Big Data-Based Text Mining Analysis by Dong-Hun Kim, Beob-Heon Kim

“…This study applied big-data-based text-mining analysis techniques to collect and analyze 10,681 Korean media reports and portal big data over the last 10 years. …”
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Analysis of industrial transformation and upgrading in resource-exhausted cities: evidence from city-level and enterprise-level panel data. by Yiwen Peng

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Meta-analysis of machine learning models for the diagnosis of central precocious puberty based on clinical, hormonal (laboratory) and imaging data by Yilin Chen, Xueqin Huang, Lu Tian

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Association Between Serum Uric Acid Levels and Skin Cancer: Results from NHANES Data and Mendelian Randomization Analysis by Niu Y, Shi S, Chen Y, Yang S, Yan P, Kou J

“…Even so, further research is needed to better understand the biological mechanisms underlying SUA’s role in skin cancer development.Keywords: observational studies, risk factor, cancer, NHANES, Mendelian randomization analysis…”
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A hybrid deep learning framework for early detection of Mpox using image data by Sajal Chakroborty

“…This framework allows us to construct hybrid deep learning models combining deep learning architectures as a feature extraction tool with machine learning classifiers and perform a comprehensive analysis of Mpox detection from image data. Our best-performing model consists of MobileNetV2 with LightGBM classifier, which achieves an accuracy of 91.49%, precision of 86.96%, weighted precision of 91.87%, recall of 95.24%, weighted recall of 91.49%, F1 score of 90.91%, weighted F1-score of 91.51% and Matthews Correlation Coefficient score of 0.83.…”
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Express Analysis of the Structural and Electronic Properties of Nanomaterials Using Big Data, Large Language Models and Generative Artificial Intelligence by N. A. Shymanski, A. V. Baglov, Kh. B. Musaev, O. N. Ruzimuradov, L. S. Khoroshko

“…The possibility of using large language models, generative machine learning and big data methods for predictive analysis of the electronic properties of nanostructures based on semiconductor materials is considered, without limiting the generality of this approach for other crystalline materials. …”
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Impact of a New Metro Line: Analysis of Metro Passenger Flow and Travel Time Based on Smart Card Data by Xiao Fu, Yu Gu

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Data Analysis of Ceramic Material Color Matching Collection Points in Furniture Design Based on the Image Difference Prediction Model by Cheng Zhou, Yalan Li

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Design and Analysis of a Nanosecond Burst-Mode CDR Using MATLAB/Simulink and Opti-System Co-Simulation by Heng Zhang, Yuandong Li, Wenhe Yin, Yuan Du, Li Du

“…However, the CDR still needs to be comprehensively evaluated considering various interferes. We add more analysis by developing a novel optoelectronic co-simulation system that combines the software Opti-system and MATLAB/Simulink. …”
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