Exploring the Components of Multicultural Competence among Pre-Service Teacher Students in Thailand: An Approach Utilizing Confirmatory Factor Analysis by Bovornpot Choompunuch, Khanika Kamdee, Prakittiya Taksino

“…The data analysis employed descriptive statistics and second-order confirmatory factor analysis (CFA). …”
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Load Model Construction and Parameter Identification Method of Inverter-Interfaced Distributed Generator by Jie LI, Jie WANG, Wenteng LIANG, Lushan SHI, Bolun WANG, Yufeng XIONG, Liangju ZHANG, Xia ZHOU

“…Combined with the sample data, the unified model identification process was given. …”
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Refined Monitoring of Water Bodies in Built-Up Areas and Analysis and Evaluation of Water Color Characteristics in Complex Urban Backgrounds by Bin Li, Yong Xie, Zui Tao, Wen Shao, Gan Qin

“…Comparison with measured data reveals a root mean square error of 3.9° and an average absolute percentage error of 1.5%, validating the proposed method’s accuracy. …”
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Deep Learning Hybrid Architecture Based on Vision Transformer for Phase Analysis of Moiré Fringes by Dajie Yu, Junbo Liu, Chuan Jin, Yuyang Li, Kairui Zhang, Ji Zhou

“…This model effectively learns the mathematical mapping between the Moiré fringe phase information and actual offset, accurately outputting true Moiré fringe phase data. Results show that despite the presence of Gaussian noise and tilted states, the hybrid architecture maintains a Root Mean Square Error (RMSE) within the range of 6–7 nm, and a Structural Similarity Index (SSIM) above 0.70, and Peak Signal-to-Noise Ratio (PSNR) is consistently maintained above 36. …”
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Statistical Analysis of Novel Ensemble Recursive Radial Basis Function Neural Network Performance on Global Solar Irradiance Forecasting by Manoharan Madhiarasan, Mohamed Louzazni, Brahim Belmahdi

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Comparative Analysis of Trophic Status Assessment Using Different Sensors and Atmospheric Correction Methods in Greece’s WFD Lake Network by Vassiliki Markogianni, Dionissios P. Kalivas, George P. Petropoulos, Rigas Giovos, Elias Dimitriou

“…The values of the basic statistical error metrics indicated firstly the increased assessment’s accuracy of GEE-modelled over modelled TSIs and then the superiority of Landsat over Sentinel 2 data. …”
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Comparative Assessment of an IMU-Based Wearable Device and a Marker-Based Optoelectronic System in Trunk Motion Analysis: A Cross-Sectional Investigation by Fulvio Dal Farra, Serena Cerfoglio, Micaela Porta, Massimiliano Pau, Manuela Galli, Nicola Francesco Lopomo, Veronica Cimolin

“…Wearable inertial measurement units (IMUs) are increasingly used in human motion analysis due to their ability to measure movement in real-world environments. …”
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Structural Relationship Analysis of Substance Use Tendencies in Adolescents: The Role of Childhood Maltreatment, Parenting Styles, and the Mediating Role of Impulsivity by Ali Beheshti Motlagh, Sajjad Basharpoor

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ANALYSIS OF REAL RELATIVE ASYMMETRY IN URBAN TRANSPORTATION NETWORK PROBLEMS USING SPACE SYNTAX, REDS, AND MACHINE LEARNING CONCEPTS by Robiatul Adawiyah, Fitriyatul Mardiyah, Dafik Dafik, Ika Hesti Agustin, Excelsa Suli Wildhatul Jannah, Marsidi Marsidi

“…GNN-based multi-step time series forecasting successfully predicts traffic violation trends across 29 road segments with a Mean Squared Error (MSE) equal to 0.0173. The novelty of this research lies in the integration of spatial configuration analysis, graph theoretical optimization, and machine learning-based forecasting, offering a comprehensive approach not previously combined in related studies. …”
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Energy analysis of tailor rolled blank rolling process based on a new velocity field and the unified yield criterion by Wen Hao Tian, Shun Hu Zhang, Yan Li

“…Furthermore, the predicted rolling forces are compared with the measured data of upward rolling of CR340 steel. It indicates that the theoretical model using the Tresca yield criterion has the highest prediction accuracy, with an average error of 11.57%, which has demonstrated the importance of the selection of a yield criterion. …”
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ESC-Track: A computer workflow for 4-D segmentation, tracking, lineage tracing and dynamic context analysis of ESCs by Laura Fernández-de-Manúel, Covadonga Díaz-Díaz, Daniel Jiménez-Carretero, Miguel Torres, María C. Montoya

“…Here, we present the ESC-Track (ESC-T) workflow, which includes an automated cell and nuclear segmentation and tracking tool for 4-D (3-D + time) confocal image data sets as well as a manual editing tool for visual inspection and error correction. …”
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Spatial Variation and Uncertainty Analysis of Black Sea Level Change from Virtual Altimetry Stations over 1993–2020 by Yuxuan Fan, Shunqiang Hu, Xiwen Sun, Xiaoxing He, Jianhao Zhang, Wei Jin, Yu Liao

“…Furthermore, to reduce the uncertainty induced by noise in the sea surface height (SSH) time series, principal component analysis (PCA) was utilized to denoise the SSH data from 1993 to 2020, yielding a sea level trend of 1.76 ± 0.56 mm/yr. …”
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Automated hypocenter determination of tectonic tremors in the Nankai subduction zone using convolutional neural networks combined with semblance analysis by Amane Sugii, Yoshihiro Hiramatsu, Takahiko Uchide, Kazutoshi Imanishi

“…Here, we developed and evaluated a convolutional neural network (CNN) model to classify tectonic tremors, earthquakes, and noise in seismic waveform data recorded by a seismic array in the Nankai subduction zone. …”
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Morphological and structural complexity analysis of low-resource English-Turkish language pair using neural machine translation models by Mehmet Acı, Nisa Vuran Sarı, Çiğdem İnan Acı

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Prediction of chloride concentration in concrete under multi-salt environment: Optimization of integrated algorithm based on MSCPO and interpretability analysis by Daming Luo, Kanglei Du, Ditao Niu

“…This study conducted accelerated experiments to create a concrete chloride ion dataset in a multi-salt environment, with adjustments for abnormal data. The Crested Porcupine Optimizer (CPO) algorithm was enhanced with adaptive techniques, and the refined strategy’s effectiveness was verified through test function analysis. …”
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A Correlation Analysis-Based Structural Load Estimation Method for RC Beams Using Machine Vision and Numerical Simulation by Chun Zhang, Yinjie Zhao, Guangyu Wu, Han Wu, Hongli Ding, Jian Yu, Ruoqing Wan

“…The classical regression assessment method based on experimental data not only relies on costly structure experiments; it also lacks interpretability. …”
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Initialization improvement and clustering quality evaluation of K-means algorithm by HE Xuansen, HE Fan, YU Hailan

“…By standardizing the features of data and using principal component analysis (PCA), data dimensionality reduction was achieved. …”
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Choroidal vascularity index is independent of ocular and image-based factors in healthy eyes: a systematic review and meta-analysis by Meenakshi Kumar, Sieu K. Khuu, Matt Trinh, Michele C. Madigan, Rupesh Agrawal, William Rojas-Carabali, Lisa Nivison-Smith

“…Unaltered, narrow confidence interval in sensitivity analysis, complemented by non-significant publication bias indicated robustness of the synthesised data. …”
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Nature of adverse events with opioids in hospitalised patients: a post-hoc analysis of three patient record review studies by Martine de Bruijne, Cordula Wagner, Maaike Langelaan, Joanna Ewa Klopotowska, Irene Jongerden, Bernadette Clara Francisca Maria Schutijser, Marco Moesker

“…Therefore, we provided a description of the nature of ORADEs.Design A post-hoc analysis of data collected during three retrospective patient record review studies (in 2008, 2011/2012 and 2015/2016).Setting The three record review studies were conducted in 32 Dutch hospitals.Participants A total of 10 917 patient records were assessed by trained nurses and physicians.Outcome measures Per identified ORADE, we described preventability, type of medication error, attributable factors and type of opioids involved. …”
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Spatial Variability and Geostatistical Analysis of Soil Properties in the Diversified Cropping Regions of Bangladesh Using Geographic Information System Techniques by Md. Zulfikar Khan, Md. Rafikul Islam, Ahmed Bin Abdus Salam, Tama Ray

“…After the normalization of data, classical statistics were used to describe the soil properties, and geostatistical analysis was used to illustrate the spatial variability of the soil properties by using kriging interpolation techniques in a GIS environment. …”
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