Application of Log Lithofacies Classification Model Based on Clustering-Support Vector Classification Method by HE Xianhong, LI Kesai, XU Jiacheng, FU Meiyan, YANG Yufei, SUN Jiaqi

“…This can provide theoretical basis and data support for accurate rock types division and physical parameters calculation.…”
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A Study on Water Quality Characteristics and Classification Scheme for Improving Major Tributaries in Sejong Special Self-Governing City: Development and Application of a Monthly W... by Chan-Ju Park, Sung-Suk Jung, Chang-Suk You, Seung-Gu Kang, Jang-Hee Lee, Jae-Hyuk Choi, Mi-Hye Ahn, Jung-Woo Ryu, Jin-Gyun Eom, Eun-Ok Bang, Kyung-Duk Zoh, Kyong-Yong Jung

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Application of the polynomial chaos expansion method for forecasting structural response of two full-scale case studies by Georgijev Viktor, Bogoevska Simona

“…Consequently, identifying the source of any existing discrepancies between obtained model results and measured data is difficult. This paper demonstrates a straightforward implementation of the polynomial chaos expansion method for the formulation of prognostic data-driven models targeted at tracking changes in continuously measured structural response. …”
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An initial investigation of preservice teachers in the United States and possible applications to Ukraine: perceived knowledge of response to intervention by Phillip M. Weishaar, Wendy W. Fuchs, Llena R. Williams

“…Reform in the United States focuses on the use of evidence-based practices and data-based decision making. Reform in Ukraine focuses on democratic, learner-centered education. …”
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Global perspectives on unmanned aerial vehicles technology in social sciences: applications, innovations, and future research directions by Ricky Anak Kemarau, Zaini Sakawi, Stanley Anak Suab, Oliver Valentine Eboy, Wan Shafrina Wan Mohd Jaafar, Khairul Nizam Abdul Maulud, Nik Norliati Fitri Md Nor

“…The analysis reveals that UAVs significantly enhance research capabilities by improving data accuracy, resolution, and accessibility, particularly in remote or challenging environments. …”
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Application of Mapping Algorithm Based on Point Cloud Intensity Characteristics to Map Construction in Rail Transit Scenarios by LENG Binghan, WANG Bin, LYU Yu, JIANG Guotao

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Machine learning applications in risk management: Trends and research agenda [version 2; peer review: 2 approved, 1 approved with reservations] by Erica Agudelo-Ceballos, Diana Marleny Ramírez-Ramírez, Ezequiel Martínez Rojas, Julio Leyrer Henríquez, Aarón José Alberto Oré León, Jesus Alberto Jimenez Garcia, Alejandro Valencia-Arias

“…Key terms include random forest, support vector machines (SVM), and credit risk assessment, while terms such as prediction, postpartum depression, big data, and security emerge as new areas of study. …”
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Enhancing Aspect-Based Sentiment Analysis in Imbalanced Multilabel Datasets using Resampling and Classifiers for Digital Signature Applications by Efriza Cahya Narendra, Amalia Anjani Arifiyanti, Tri Luhur Indayanti Sugata

“…These results underscore the importance of imbalanced data resampling and multilabel classification techniques in advancing ABSA, offering valuable insights for improving sentiment analysis in real-world applications.…”
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Impact of Missing Data on Data Quality in Social Research by Yaroslav Kostenko

“…The article illustrates various approaches to managing missing data through a combination of hypothetical scenarios and case studies from actual research in order to showcase the application and effectiveness of various methods. …”
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Data for the common good in the common European data space by Olga M.C. van der Valk, Mark Ryan

“…Commons are open-access resources governed by a group, either formally by regulation or informally by local customs. The application of the data commons to the CEDS would promote data-sharing for the “common good.” …”
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Application of Mixed-Integer Linear Programming Models for the Sustainable Management of Vine Pruning Residual Biomass: An Integrated Theoretical Approach by Leonel J. R. Nunes

“…Future research should focus on real-time data integration, dynamic updates, and multi-objective optimization to improve model robustness and applicability across diverse supply chain scenarios.…”
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A novel Compound-Pareto model with applications and reliability peaks above a random threshold value at risk analysis by Mohammad Abiad, M. M. Abd El-Raouf, Haitham M. Yousof, M. E. Bakr, Oluwafemi Samson Balogun, M. Yusuf, Getachew Tekle Mekiso, Yusra A. Tashkandy

“…Abstract This paper aims to model the bimodal and right-skewed aircraft windshield data using a novel compounded-Pareto distribution. …”
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A digital twin model of urban utility tunnels and its application [version 1; peer review: 2 approved] by Wu Jiansong, Hu Yanzhu, Fan chen, Cai Jitao, Fu Ming, Wang Xin, Zou Xiaofu

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Healthcare trajectories of aging individuals during their last year of life: application of process mining methods to administrative health databases by Delphine Bosson-Rieutort, Alexandra Langford-Avelar, Juliette Duc, Benjamin Dalmas

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The Estimating of the Conditional Density with Application to the Mode Function in Scalar-On-Function Regression Structure: Local Linear Approach with Missing at Random by Wahiba Bouabsa

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Leveraging the satellite-based climate data record CLARA-A3 to understand the climatic trend regimes relevant for solar energy applications over Europe by A. Devasthale, S. Andersson, E. Engström, F. Kaspar, J. Trentmann, A. Duguay-Tetzlaff, J. F. Meirink, E. Kjellström, E. Kjellström, T. Landelius, M. A. Thomas, K.-G. Karlsson

“…In this study, by leveraging the satellite-based climate data record (CDR) CLARA-A3, we investigate the recent trends in SIS and cloud properties over Europe during the 1982–2020 period. …”
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Application of the DEB-TKTD model with multi-omics data: Prediction of life history traits of Chinese mitten crab (Eriocheir sinensis) under different salinities by Hanzun Zhang, Shipeng Dong, Hongwei Shan, Chao Yang, Fang Wang

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Artificial intelligence applied to bed regulation in Rio Grande do Norte: Data analysis and application of machine learning on the "RegulaRN Leitos Gerais" platform. by Tiago de Oliveira Barreto, Fernando Lucas de Oliveira Farias, Nicolas Vinícius Rodrigues Veras, Pablo Holanda Cardoso, Gleyson José Pinheiro Caldeira Silva, Chander de Oliveira Pinheiro, Maria Valéria Bezerra Medina, Felipe Ricardo Dos Santos Fernandes, Ingridy Marina Pierre Barbalho, Lyane Ramalho Cortez, João Paulo Queiroz Dos Santos, Antonio Higor Freire de Morais, Gustavo Fontoura de Souza, Guilherme Medeiros Machado, Márcia Jacyntha Nunes Rodrigues Lucena, Ricardo Alexsandro de Medeiros Valentim

“…Data was also correlated, balanced, and divided into training and test portions for application in machine learning models. …”
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Design and Implementation of an Intelligent Environmental-Control System: Perception, Network, and Application with Fused Data Collected from Multiple Sensors in a Greenhouse at Jiangsu, China by Jun Liu

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Utilizing geospatial analytics of cancer catchment area data for targeted recruitment of underserved populations for cancer prevention research: a precision public health application by Ming S. Lee, Armando Vera, Daniela F. Quetant, Nancy S. Elliott, Valerie D. Bethel, Till Krenz, Lauren Nahodyl, Amanda Rivera, Shria Kumar, Brandon Mahal, Elizabeth J. Franzmann, Erin N. Kobetz

“…Background: This paper introduces an innovative application of precision public health by the Sylvester Comprehensive Cancer Center (SCCC), utilizing catchment area data and geospatial analytics to identify cancer hot spots with underserved populations to recruit participants into research projects on prostate cancer, H. pylori infection, and oral cancers via community outreach and engagement.Methods: Using data from SCAN360 (i.e. a web-based data repository operated by SCCC), we carried out geospatial hot spot analyses to identify statistically significant clusters of census tracts with high incidences of prostate, gastric cancer associated with H. pylori infection, and oral cancer. …”
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