Research on the Assessment of Architectural Colors in Cultural Heritage Blocks Based on Computer Vision: A Case Study of Tianjin by Xiaoli Cao, Yingxia Yun, Lijian Ren

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Applicability Analysis of Two Comprehensive Drought Meteorological Indexes in Corn Growth Period of Liaoning Province by CAO Yongqiang, ZHAO Zimeng, ZHANG Dan, REN Bo

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A Sizer model for cell differentiation in Arabidopsis thaliana root growth by Irina Pavelescu, Josep Vilarrasa‐Blasi, Ainoa Planas‐Riverola, Mary‐Paz González‐García, Ana I Caño‐Delgado, Marta Ibañes

“…Overall, our study underscores the value of using computational modeling together with quantitative data to understand root growth.…”
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A complete, multi-layered quranic treebank dataset with hybrid syntactic annotations for classical arabic processingMendeley Data by Wadee A. Nashir, Abdulqader M. Mohsen, Asma A. Al-Shargabi, Mohamed K. Nour, Badriyya B. Al-onazi

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Performance of Machine Learning Algorithms on Imbalanced Sentiment Datasets Without Balancing Techniques by Dina Wulan Yekti rahayu, Khothibul Umam, Maya Rini Handayani

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Predicting Scattering From Complex Nano-Structures via Deep Learning by Yongzhong Li, Yinpeng Wang, Shutong Qi, Qiang Ren, Lei Kang, Sawyer D. Campbell, Pingjuan L. Werner, Douglas H. Werner

“…Existing numerical electromagnetic (EM) solvers are usually computationally expensive, time consuming, and memory demanding. …”
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Evaluation of changes in chemical composition and antioxidant activities from vine tea at different harvest times based on LC-MS, GC-MS, and data fusion algorithms by Lele Zhang, Zixin Zhang, Yu Zhao Hou, Simon Sani Ocholi, Liming Wang, Zhifei Fu, Changjun Liu, Zhonglian Zhang, Lifeng Han

“…By employing mass defect filtering (MDF) and a data fusion algorithm, the study examined compositional changes across different harvesting periods. …”
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Lightweight Evolving U-Net for Next-Generation Biomedical Imaging by Furkat Safarov, Ugiloy Khojamuratova, Misirov Komoliddin, Ziyat Kurbanov, Abdibayeva Tamara, Ishonkulov Nizamjon, Shakhnoza Muksimova, Young Im Cho

“…<b>Background/Objectives</b>: Accurate and efficient segmentation of cell nuclei in biomedical images is critical for a wide range of clinical and research applications, including cancer diagnostics, histopathological analysis, and therapeutic monitoring. Although U-Net and its variants have achieved notable success in medical image segmentation, challenges persist in balancing segmentation accuracy with computational efficiency, especially when dealing with large-scale datasets and resource-limited clinical settings. …”
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Effect of inlet and baffle position on the removal efficiency of sedimentation tank using Flow-3D software by Ali Poorkarimi, Khaled Mafakheri, Shahrzad Maleki

“…Experiments were carried out based on the central composite design (CCD) methodology. Computational fluid dynamics (CFD) is used extensively to model and analyze complex issues related to hydraulic design, planning studies for future generating stations, civil maintenance, and supply efficiency. …”
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Numerical Analysis of Roll Hydrodynamic Coefficients of 2D Triangular Cylinder Using OpenFOAM by Eunchong Hwang, Kyung-Kyu Yang

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Machine learning prediction of metabolic dysfunction-associated fatty liver disease risk in American adults using body composition: explainable analysis based on SHapley Additive e... by Yan Hong, Xinrong Chen, Ling Wang, Fan Zhang, ZiYing Zeng, Weining Xie

“…This study aimed to develop and validate machine learning (ML) models for predicting MAFLD using detailed body composition metrics and to explore the relative contributions of adipose tissue features through explainable ML techniques.MethodsData from the 2017–2018 National Health and Nutrition Examination Survey (NHANES) were used to construct predictive models based on anthropometric, demographic, lifestyle, and clinical variables. …”
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Life cycle inventory data generation for yogurt packaging in Austria by Bianca Köck, Philipp Spatt, Vasiliki-Maria Archodoulaki, Bettina Mihalyi-Schneider

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Literature data-based de novo candidates for drug repurposing by Xianglong Liang, Xin Jiang, Yifang Ma

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Grid resource data differentiation standard based on CIM model by Fupeng Li, Wenyuan Bai, Shaobo Liu, Yiming Zhang, Mingkang Guo

“…In the process of data processing, regression analysis is used to adjust and optimize according to the actual data to ensure the accuracy and effectiveness of the data. …”
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Early detection of mental health disorders using machine learning models using behavioral and voice data analysis by Sunil Kumar Sharma, Ahmed Ibrahim Alutaibi, Ahmad Raza Khan, Ghanshyam G. Tejani, Fuzail Ahmad, Seyed Jalaleddin Mousavirad

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The predictive value and model establishment of body composition in the long-term prognosis of patients after rectal cancer surgery by LIU Shuo, LU Yun, HU Jilin, YANG Wenchang, ZHAO Rizhi, XU Wenda, YANG Hanyu, LU Zechen, MA Zheng, DU Zhaolin, GAO Yunzhi, GAO Yuan

“…This study aimed to explore the relationship between body composition and long-term prognosis, and to develop a postoperative predictive model. …”
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Association of composite dietary antioxidant index and endometriosis risk in reproductive—age women: a cross-sectional study using big data-machine learning approach by Wenxin Chen, Kui Xiao, Chenyu Zhou, Jiajia Cheng, Zixuan Zeng, Fang Zhang

“…This study aims to explore the relationship between CDAI and EM risk using data from the National Health and Nutrition Examination Survey (NHANES), potentially guiding dietary interventions for EM prevention.MethodsThis study analyzed data from the NHANES spanning 1999 to 2006. …”
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Association analysis of chronic disease comorbidity combinations in elderly inpatients in Shenzhen city from 2017 to 2022: an analysis based on medical records data by Yanna LI, Fang DU, Liqun WU

“…Frequency combination analysis was used to identify common chronic disease comorbidity combinations, and association rule analysis was used to identify common non-random disease combinations. …”
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Efficient Computation of the <italic>K</italic> Nearest Neighbors Query Using Incremental Radius on a <italic>k</italic>&#x00B2;-tree by Rodrigo Torres-Aviles, Monica Caniupan

“…Proximity searches within metric spaces are critical for numerous real world applications, including pattern recognition, multimedia information retrieval, and spatial data analysis, among others. With the exponential increase in data volume, the demand for memory efficient structures to store and process information has become increasingly important. …”
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To Hunt or Patrol? Social Composition and Location Mediate Scent Marking Decisions of a Large Carnivore by K. Whitney Hansen, Neil R. Jordan, Megan J. Claase, J. W. McNutt, Alan Wilson, Christopher C. Wilmers

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