Optimizing subsurface pipe layout by considering leaching efficiency of major salt ions to improve crop coverage using HYDRUS-2D by Yi Liu, Wang Tan, Wenzhi Zeng, Chang Ao, Donglin Jiang

“…The HYDRUS-2D model, calibrated and validated with experimental data, achieved high accuracy in simulating cumulative drainage and ion discharge (R² > 0.7 for all ions), with an average root mean square error (RMSE) for major ions below 0.2 g kg−1. …”
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Systematic metronidazole adsorption performance onto montmorillonite clay: Parametric study, process modelling and RSM optimisation by Jean Paul Nongni Tejeogue, Raphael Djakba, Cyrille Ghislain Fotsop, Narcisse Dobe, Sali Mouhamadou, Bagamla Wangmene, Massai Harouna

“…The rate of the reaction and mechanism was verified through linear and nonlinear isotherms, kinetics and statistical error analysis. Characterization of material have shown that it is a montmorillonite mineral clay with a specific surface area of 51.73 m2/g according to BET method. …”
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The Prevalence and Risk Factors of Hyperkalemia in the Outpatient Setting by Chadapa Sevamontree, Supreeya Jintajirapan, Pran Phakdeekitcharoen, Bunyong Phakdeekitcharoen

“…Hyperkalemia was determined as SK ≥5.8 mmol/L without hemolysis or technical error. Clinical data and laboratory tests were collected for analysis of risk factors. …”
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INTERNET BANKING AND ADOPTION OF STUDENTS: A CASE OF NATIONAL OPEN UNIVERSITY OF NIGERIA, MAIDUGURI STUDY CENTRE by MUHAMMAD AJID BUKAR, HARUN BAKARI RANN, ABUBAKAR HASSAN

“…But a comprehensive analysis within the context of the Unified Theory of Acceptance and Use of Technology (UTAUT) specific to internet banking remains underexplored. …”
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Technique on Vehicle Damage Assessment After Collisions Using Optical Radar Technology and Iterative Closest Point Algorithm by Shih-Lin Lin, Yi-Hsuan Chen

“…The obtained point cloud data is processed using 3D reconstruction techniques to create virtual vehicle models. …”
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Audit of Histopathology Request Forms in a Teaching Hospital: Assessing the Adequacy of Clinician-Provided Information for Diagnosis by Adekunle AA, Oladimeji AO, Ayo-Aderibigbe O, Idowu NA, Rasheed MW, Ano-Edwarde GH

“…Each request form was assessed for the presence and completeness of the necessary items in the forms. Statistical analysis used: Data obtained was analysed using both Microsoft Excel and Statistical Package for Social Sciences 23.0 (SPSS version 23.0). …”
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Prevalence and predictors of statin therapy in the general working-age population by V. S. Kaveshnikov, V. N. Serebryakova, I. A. Trubacheva

“…We used methods of univariate and multivariate statistics. Error probability < 5% was considered significant.Results. …”
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What makes patients tick? Vaccine preferences against tick-borne encephalitis in four European countries by Charlotta Zacharias, Ralph Torgler, Jennifer Cummins

“…Data are presented for the overall survey group and by age and gender, using t-tests to compare means. …”
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Design and Development of a Low-Power IoT System for Continuous Temperature Monitoring by Luis Miguel Pires, João Figueiredo, Ricardo Martins, João Nascimento, José Martins

“…With an average current draw of just 0.01727 mA, the system achieves an estimated autonomy of 6.6 years on a 1000 mAh battery. Data are transmitted via Bluetooth Low Energy (BLE) to a Raspberry Pi 4 gateway and forwarded to an IoT cloud platform for remote access and analysis. …”
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Enhance health evidence quality in classification tasks: A triangulation approach utilizing case-based reasoning and process features by Ruihua Guo, Ross Smith, Qifan Chen, Angus Ritchie, Simon Poon

“…Unlike clinical trials, real-world data used in ML are often gathered for multiple purposes, leading to bias and missing information for a specific classification task. …”
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Inversion of Moho topography in Taiwan using improved Parker-Oldenburg method by Hangtao Yu, Hangtao Yu, Hangtao Yu, Mingming Wen, Mingming Wen, Mingming Wen, Chuang Xu

“…Then, more accurate inversion parameters are estimated using simulated annealing with available seismic data as constraints. On this basis, a more refined Moho topography of Taiwan is inverted. …”
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Evaluation of The Determinants of Domestic Bonds in Ghana by Zahra Moro, Oscar Agyemang Opoku

“…Based on the stationary and the existence on cointegration vectors, the study investigated long and short run effects using ARDL (1,0,1,1,1,1) and ARDL (1,2,2,2,2,2) Error Correction Models respectively. The E-Views version 11 was used to conduct the analysis. …”
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Forecasting Residential Energy Consumption with the Use of Long Short-Term Memory Recurrent Neural Networks by Zurisaddai Severiche-Maury, Carlos Eduardo Uc-Rios, Wilson Arrubla-Hoyos, Dora Cama-Pinto, Juan Antonio Holgado-Terriza, Miguel Damas-Hermoso, Alejandro Cama-Pinto

“…This study proposes a deep learning-based approach employing Long Short-Term Memory (LSTM) neural networks to predict household energy usage based on power consumption data from common appliances, such as lamps, fans, air conditioners, televisions, and computers. …”
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Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder by Shagufta Almas, Fazli Wahid, Sikandar Ali, Ahmed Alkhyyat, Kamran Ullah, Jawad Khan, Youngmoon Lee

“…Data augmentation techniques address class imbalance, while SAEs facilitate accurate classification through layer-wise unsupervised pre-training and supervised fine-tuning. …”
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3D Reconstruction and Deformation Detection of Rescue Shaft Based on RGB-D Camera by Hairong Gu, Bokai Liu, Lishun Sun, Mostak Ahamed, Jia Luo

“…This paper proposes a novel method for real-time 3D model reconstruction, deformation detection, and accessibility analysis of rescue shafts using an RGB-D camera. The approach captures depth and color data from the shaft’s low-texture walls and employs advanced feature extraction and matching algorithms to generate a high-precision 3D point cloud. …”
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Modified Immediate Sequential Bilateral Cataract Surgery (Clinical Cases) by I. B. Medvedev, D. F. Pokrovsky

“…In such situations, the A-scan is used, which is considered less accurate due to human error and often leads to errors in the calculation of the IOL. …”
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An enhanced method of CNNs by incorporating the clustering-guided block for concrete crack recognition by Hui Li, Chenyu Liu, Ning Zhang, Wei Shi

“…Notably, the CG-DeepLabV3 + model significantly reduced the recognition error for locating crack edges to a mere 2.31 pixels. …”
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Precision forecasting for hybrid energy systems using five deep learning algorithms for meteorological parameter prediction by Ceren Ceylan, Zehra Yumurtacı

“…Using five years of Istanbul meteorological data (2018–2022), optimal algorithms were systematically identified for each parameter through rigorous hyperparameter optimization and cross-validation. …”
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Prediction of Seawater Intrusion Run-Up Distance Based on <i>K</i>-Means Clustering and ANN Model by Jiatao Li, Zhenzhu Meng, Junkang Zhang, Yukai Chen, Jiewen Yao, Xinyue Li, Peng Qin, Xian Liu, Chunmei Cheng

“…The method begins with dimensionless analysis to scale all the variables, followed by data segmentation using <i>K</i>-means clustering to group wave characteristics such as the Froude number, scaled distance from the wave front to the shoreline, and wave nonlinearity. …”
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NDVI Prediction with RGB UAV Imagery Utilizing Advanced Machine Learning Regression Models by I. Aydin, U. G. Sefercik

“…The performance of the NDVI maps was analyzed using R², Root Mean Square Error (RMSE), Normalized Median Absolute Deviation (NMAD) and Standard Deviation (STD) metrics. …”
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