Case Study of Urban Stormwater Simulation in Foshan Based on Urban Time-Variant Gain Model by WANG Chao, GONG Siqi, XIAO Yu

“…The prerequisite for urban stormwater simulation and analysis is to accurately grasp urban rainfall-runoff response laws.This paper analyzes the nonlinear response law of rainfall-runoff and builds a TVGM-urban model to simulate and analyze the measured rainfall and storm scenarios designed under different recurrence periods by taking the Baolitongjifu neighborhood in Chancheng District,Foshan as the research object.The results are as follows.There is a power function correlation between rainfall and runoff in the city.The non-linear relationship between maximum rainfall intensity and peak flood flow can be verified by eight selected flood data in the neighborhood with the fitting effect of the power function (R²=0.6207,p<0.05) better than that of the linear relationship (R²=0.5629,p<0.05).Based on the identification of the catchment area and the subsurface classification,the TVGM-urban model is built in the Baolitongjifu neighborhood,and the model accuracy is verified by the measured rainfall and runoff data.Generally,the simulation results ensure that the Nash efficiency coefficient is greater than 0.7,and the simulation error of the water volume and peak value is within 20%,which can well meet the urban stormwater simulation requirements.The results can provide support and references for analyzing urban rainfall and runoff response laws and studying urban stormwater simulation.…”
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Simple Correlation to Evaluate Mohr-Coulomb Failure Criterion Using Uniaxial Compressive Strength by Musaed N.J. Al-Awad

“…Verification of the developed correlation using data from other references has shown an average error of estimation equal to 10%. …”
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Study on the simulation of bridge deformation in a mining subsidence area by Chi Zhang, Kan Wu, Shengxiang Huang, Lingai Li, Xiaokang Rao

“…Additionally, monitoring data of surface and bridge subsidence from the same period are collected to validate the simulation accuracy, analyse error types and causes, and propose model improvements. …”
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Stress Estimation in Viscous Flows Using an Iterative Tikhonov Regularized Stokes Inverse Model by Yuanhao Gao, Yang Wang, Jizhou Zhang

“…We also conducted convergence analysis and error estimation for perturbed data, providing a fast and stable convergence. …”
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The Quality of Mobile Banking Services For Bank Syariah Indonesia (BSI) Customer Satisfaction in Surabaya by Sutono Sutono, Umar Kassim

“…The data analysis process uses simple linear regression, hypothesis testing, and coefficient of determination. …”
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Can We Constrain Geographical Variability in the Biological Carbon Pump's Transfer Efficiency From Observations? by A. Rufas, S. Khatiwala, K. M. Bisson, A. P. Martin, H. A. Bouman

“…To ensure comparability, we harmonized errors and used Monte Carlo error propagation to calculate uncertainties consistently. …”
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Risk assessment and «Safety culture» lifting devices by Prusov A.Yu.

“…The article presents an analysis of methods and approaches to assessing the risk of using load gripping devices when performing lifting operations. …”
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Robust People Tracking Using an Adaptive Sensor Fusion between a Laser Scanner and Video Camera by Yeong Nam Chae, Yeong-Jae Choi, Yong-Ho Seo, Hyun S. Yang

“…To evaluate the performance of the proposed system, we show error analysis and two applications. The results confirm that the proposed system can be used for a real-time tracking system and interactive virtual environment.…”
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Modeling of single-point line meshing gears based on cubic NURBS surface interpolation by CHEN Chong, GU Liyao, ZHU Pengcheng

“…In order to more accurately study the meshing characteristics and transmission parameters of the gear pair, a gear pair model of single-point line meshing based on cubic non-uniform rational B-spline (NURBS) surface interpolation was established.MethodsAccording to the meshing principle of the gear pair and the coordinate system transformation of the single-point line meshing gear pair, the tooth surface equation was derived to obtain the discrete tooth surface data, the surface control point matrix formed by the interpolation of the discrete data was solved by cubic NURBS, and the tooth surface reconstruction was carried out by using the UG secondary development and the control point matrix of the curved surface; the finite element analysis model of the gear pair was established, the instantaneous contact line, the maximum contact stress of the gear surface and the variation curve of the maximum bending stress were obtained, and the accuracy of the three-dimensional model was verified.ResultsThe results show that there is no edge contact between the single-point line meshing gear auxiliary driving wheel when entering and exiting the meshing, the maximum contact stress changes relatively slowly during the whole cycle, and the maximum bending stress occurs near the tooth root transition surface of the driven gear and the driven gear.…”
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An Industrial System for Inspecting Product Quality Based on Machine Vision and Deep Learning by Xuan-Thuan Nguyen, Thi-Thoa Mac, Quang-Dinh Nguyen, Huy-Anh Bui

“…Additionally, the proposed model reveals that the scratch defect is the most difficult error to detect, requiring a long time for decision analysis.…”
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Islamic Education Teachers’ Adaptation in Digital Learning during the Covid-19 Pandemic by Sarah Aisha, Ahmad Zuhdi Firdaus, Deddy Mulyana

“…In-depth interviews and introspection were conducted with four Islamic education teachers across grades. Thematic analysis was used to analyse the data. The findings revealed that teachers went through five overlapping stages: confusion, trial and error, capacity building, adaptation, and efforts to find new solutions. …”
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Developing a Sense of Knowing and Acquiring the Skills to Manage Pain in Children with Profound Cognitive Impairments: Mothers’ Perspectives by Bernie Carter, Janine Arnott, Joan Simons, Lucy Bray

“…Eight mothers completed a weekly pain diary and were interviewed at weeks 1 and 8. Qualitative data were analysed using thematic analysis and the quantitative data using descriptive statistics. …”
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Predicting the unpredicted … brain response: A systematic review of the feature-related visual mismatch negativity (vMMN) and the experimental parameters that affect it. by Alie G Male

“…In this systematic review and meta-analysis, I consider aspects of experimental design that affect the visual mismatch negativity (vMMN)-an electrophysiological (neural) correlate of prediction error in vision that is typically largest between 150 ms and 300 ms in the event-related potential (ERP) at occipito-parietal regions on the scalp. …”
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Development of a Regional F‐Region Critical Frequency Model for Southern Africa by S. Brijraj, P. J. Cilliers, M. Kosch

“…The model improves on the results of the Ionospheric Communications Enhanced Profile Analysis and Circuit Prediction Program in terms of the root mean square error skill score metric. …”
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Effect Mechanism of Splitter Blade Length on the Energy Performance of Centrifugal Pump by Q. Ma, Z. Liu, S. Jiang

“…The results demonstrate that numerical simulations closely align with experimental data in terms of head and efficiency, with an error margin of less than 5%, underscoring the accuracy and reliability of the simulations. …”
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SELF-REPAIR AND MOTIVATION IN LEGAL AND MEDICAL SIMULTANEOUS INTERPRETING: REFLECTIONS FROM STUDENT INTERPRETERS by Olcay Şener Erkırtay

“…Shen and Liang's taxonomy of self-repair strategies was used for data analysis, and findings were then discussed in line with Daniel Gile's Effort Model. …”
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Prediction Model of Music Popular Trend Based on NNS and DM Technology by Yichen Xu, Mingxun Wang, Hao Chen, Fan Hu

“…The popular trend of today’s music can be obtained by deep excavation, analysis, and prediction of the audience’s preferences. …”
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Forecasting prevalence of dengue hemorrhagic fever using ARIMA model in Sulawesi Tenggara Province, Indonesia by Mistawati Mistawati, Yasnani Yasnani, Hariati Lestari

“…ARIMA model was used for data analysis. Results: ARIMA (0.1.1)(0.1.1)4 was selected as the best-suited model. …”
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Evaluation of ground based spectral imaging for real time maize biomass monitoring by Andrea Szabó, Andrea Szabó, Nxumalo Gift Siphiwe, Nxumalo Gift Siphiwe, Erika Buday-Bódi, Erika Buday-Bódi, Blessing Ademola, János Tamás, János Tamás, Attila Nagy, Attila Nagy

“…The carotenoid prediction model, with a moderate R² (0.54), exhibited a slight overestimation, characterized by a Mean Bias Error (MBE) of 0.02 µg/g and a Normalized Root Mean Square Error (NRMSE) of 17%. …”
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Exploring different modelling approaches to forecast the community acute respiratory infections burden in children: an Italian epidemiological time series study by Riccardo Boracchini, Benedetta Canova, Pietro Ferrara, Elisa Barbieri, Pietro Giorgio Lovaglio, Antonio Scamarcia, Giovanni Corrao, Daniele Donà, Carlo Giaquinto, Costanza Di Chiara, Anna Cantarutti

“…Model parameters were estimated using the in-sample and out-of-sample approach. Results The analysis included data from over 1.4 million cases of ARIs retrieved in children aged 0–14 years. …”
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