The simplified Chinese version of the Nonrestorative Sleep Scale in Chinese young adults and measurement invariance across language and age by Yanzhe Wang, Weijie Gong, Daniel Yee Tak Fong, Ziyuan Yu, Ruiheng Nong, Xingchen Shang, Zheng Lin, Sha Li

“…The sample was randomly split into two halves to examine the scale structure using exploratory factor analysis (EFA) and asses the psychometric properties of the identified structure by confirmatory factor analysis (CFA), respectively. …”
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User-Oriented Preference Toward a Recommender System by Pei-Chun Lin, Nureize Arbaiy

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Neural network for prediction solar radiation in Relizane region (Algeria) - Analysis study by Dahmani Abdennasser, Yamina Ammi, Salah Hanini

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Problem Analysis of Asaoka Method on the Post-construction Settlement Prediction of Soft Ground by ZHOU Yuelei, LIU Zhonghan

“…In view of uncertainty of Asaoka method on the post-construction settlement prediction of soft ground,this paper transforms the measured data at constant time interval through BP neural network with good nonlinear fitting ability,establishes the regression analysis model at different starting points and different time intervals based on Asaoka method,predicts the post-construction settlement by the model and analyze the stability of the predicted value through mathematical methods,as well as comprehensively analyzes the stability of the prediction results with the measured data of a soft foundation treatment project.The analysis results show that:①BP neural network with good nonlinear fitting ability is effectively used in the transformation of the measured data of soft ground;②It is not advisable to judge the reliability of Asaoka method by the correlation coefficient;③The small error of β₁ can cause significant error to the prediction results;④The reliability of prediction results can be increased by expanding time interval.…”
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Comparative Analysis of Supervised Learning Techniques for Forecasting PV Current in South Africa by Ely Ondo Ekogha, Pius A. Owolawi

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Analysis of crop disease and pest occurrences: Insights from Japan's national surveys. by Jianqiang Sun, Sunao Ochi, Takehiko Yamanaka

“…Notably, as 70.1% of the CDP survey data recorded values of five or less, an error of 6.2 indicates poor predictive accuracy in most cases. …”
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Development of MongoDB-based Gait System with Interactive Visualization for Clinical Analysis by Rizal Rahman Rizkika, Helisyah Nur Fadhilah, Tanzilal Mustaqim, Rifdatun Ni'mah

“…To support clinical applications, an efficient system is needed to manage gait data and present analysis results interactively. …”
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Determination Method of the Active Mg Content in the Melt of Ductile Iron by XU Zhen-yu, LI Da-yong, MA Xu-liang, WANG Li-hua

“…For the 120 statistical sample data，more than 80% of the prediction error is within ± 0. 004% for the regression formula of the Mg content，meeting the control requirements on line.…”
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Practical analysis of using PPPH and raPPPid for Precise Point Positioning in Europe by Saber Mohamed, El-Mewafi Mahmoud, Awad Ahmed

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THE PARAMETER ANALYSIS OF CUBICAL STRUCTURED CADMIUM TELLURIDE (CdTe) SEMICONDUCTOR MATERIALS by Sinta Puspita Apriliani, Susi Susilawati, Koharudin Koharudin, Sarah Nabilah, Dwi Lestariningsih, Witri Desmulyani, Anis Munir Rukyati, Muhammad Fikri Fakhrurozi, Stefiana Sondary Az Zahrah, Irmansyah Irmansyah, Irzaman Irzaman

“…The data that we used to be analyzed is using data from the International Center for Diffraction Data (ICDD) that used the X-ray Diffraction (XRD) method. …”
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Dynamic Analysis of the Susceptible-Exposed-Infected-Hospitalized-Critical-Recovered-Dead (SEIHCRD) by Juhari Juhari, Silvi Kurnia

“…The data used in this study is original data on Infected, Hospitalized and Critical cases in Indonesia from August to October 2021. …”
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Research of Grinding Surface Roughness of Face Gear based on Analysis of Orthogonal Experiment by Liu Jinhua, Ming Xingzu, Gao Qin

“…At last,according to the mathematical model of the single factor experimental data to carry on the comparison between measured and predicted,it is showed that the maximum error of the predicted value and the actual measured value is 11. 13%.The result shows that the relative error is not big,the accuracy of the model is improved.…”
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Investigating factors affecting the quality of water resources by multivariate analysis and soft computing approaches by Bing Cheng, Xinyu Liu, Keke Guo, Ahmad Rastegarnia

“…Abstract This study used data from a large dam site to model changes in groundwater quality variables. …”
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A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection by Anas M. Al-Oraiqat, Oleksandr Drieiev, Sattam Almatarneh, Mohammadnoor Injadat, Karim A. Al-Oraiqat, Hanna Drieieva, Yassin M. Y. Hasan

“…We used the first technique to extract useful knowledge from areas’ produced images while mitigating potential error accumulation through modular error-checking mechanisms. …”
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Accuracy of an Ultra-Wideband-Based Tracking System for Time–Motion Analysis in Tennis by Wenpu Yang, Jinzheng Wang, Zichen Zhao, Yixiong Cui

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DIAGNOSIS AND PREDICTION OF CHOLECYSTITIS DEVELOPMENT ON THE BASIS OF NEURAL NETWORK ANALYSIS OF RISK FACTORS by V. A. Lazarenko, A. E. Antonov

“…To develop an artificial neural network for diagnosing and predicting the development of cholecystitis based on an analysis of data on risk factors, and to explore the possibilities of its application in real clinical practice.Materials and methods. …”
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Psychometric evaluation and derivation of the Kannada version of the modified (29-item model) Indian Vision Function Assessment Questionnaire by Soujanya Kaup, Jyoshma Dsouza, Siddharudha Shivalli, Sheetal Savur, Vidya Hegde

“…All observed variables showed significant factor loadings on their respective latent constructs (>0.50), establishing convergent validity on CFA by using the structural equation model. The model-fit to the data assessed by various indices [Root Mean Squared Error of Approximation = 0.08 (90% CI: 0.081–0.091); Comparative Fit Index = 0.877; Tucker-Lewis Index = 0.866; Akaike’s Information Criterion = 23447.133; Bayesian Information Criterion = 23800.45, and Coefficient of Determination = 0.998] demonstrated acceptable fit. …”
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Analysis of the Report Card Information System at Aisyiyah Busthanul Athfal Jatibarang Kindergarten by Afafa Hilmi, Galih Widjatmojo

“…This system will help teachers manage child development data in a structured, timely, and error-free manner.…”
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Regional Frequency Analysis Using L-Moments for Determining Daily Rainfall Probability Distribution Function and Estimating the Annual Wastewater Discharges by Pau Estrany-Planas, Pablo Blanco-Gómez, Juan I. Ortiz-Vallespí, Javier Orihuela-Martínez, Víctor Vilarrasa

“…This paper presents Rainfall Frequency Analysis (RainFA), a software package that applies a methodology for data curation and frequency analysis of precipitation series based on the evaluation of the L-moments for regionalization and cluster classification. …”
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Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies. by Clive J Hoggart, John C Whittaker, Maria De Iorio, David J Balding

“…Here, we demonstrate the power and empirical type-I error of our approach using simulated case-control data sets of up to 500 K SNPs, a real genome-wide data set of 300 K SNPs, and a sequence-based dataset, each of which can be analysed in a few hours on a desktop workstation.…”
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