Trend Analysis and Prediction of Violence Against Women and Children Cases in Jakarta Based on the Victim’s Education Level Using ARIMA and SARIMA Method by Zaqi Kurniawan, Rizka Tiaharyadini, Arief Wibowo, Rusdah

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The correlation between ocular residual astigmatism and wavefront-guided FS-LASIK correction effects in myopic astigmatism patients by Qingyun Zuo, Yu Zhang, Ming He, Siyi Wang, ZhiYu Du

“…Uncorrected distance visual acuity (UDVA) at 6 months postoperatively was compared among the three groups. Alpins vector analysis was performed to compare the accuracy of astigmatic correction, quantified by: Angle of error (AE): axial deviation between the surgically induced astigmatism (SIA) and target induced astigmatism (TIA); Correction index (CI): ratio of SIA to TIA (ideal value = 1.0). …”
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Advanced predictive modeling of shear strength in stainless-steel column web panels using explainable AI insights by Sina Sarfarazi, Rabee Shamass, Federico Guarracino, Ida Mascolo, Mariano Modano

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Estimation of physico-chemical properties of soil using machine learning by Patience Chizoba Mba, Opegbemi Matthias Busoye, John Temitope Ajayi, Judith Nkechinyere Njoku, Cosmas Ifeanyi Nwakanma, Senorpe Asem-Hiablie, Rammohan Mallipeddi, Tusan Park, Daniel Dooyum Uyeh

“…Integration with historical soil data might also open new possibilities for enhancing the accuracy and applicability of these methods for broader soil management practices.…”
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Should we use logistic mixed model analysis for the effect estimation in a longitudinal RCT with a dichotomous outcome variable? by Jos Twisk, Wieke de Vente, Adri Apeldoorn, Michiel de Boer

“…Background: Within epidemiology both mixed model analysis and Generalised Estimating Equations (GEE analysis) are frequently used to analyse longitudinal RCT data. …”
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「情緒勒索量表」中文化之信效度分析 Development and Psychometric Analysis of an Emotional Blackmail Scale by 郭郡羽 Chun-Yu Kuo1, 黃子格 Zi-Ge Huang, 張仁和 Jen-Ho Chang

“…The second-order three-factor model demonstrated the best fit to the data, with indices showing good model fit: Comparative Fit Index (CFI) = .976, Standardized Root Mean Square Residual (SRMR) = .022, and Root Mean Square Error of Approximation (RMSEA) = .087. …”
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Associations between nighttime or weekend deliveries and adverse maternal, birth, and neonatal outcomes: secondary analysis of the MANGO study in western Kenya by Maneet K. Virk, Jenine Shafi, Pooja Maheria, Garoma Basha, Harold E. Kooreman, John Humphrey, James G. Carlucci, Audrey Chepkemoi, Caitlin Bernard, Megan S. McHenry, Beverly Musick, Caroline Kerich, Winnie Matelong, Constantin T. Yiannoutsos, Wycliffe Kosgei, Julia Songok, Kara Wools-Kaloustian, Edwin Were, Rena C. Patel

“…Methods We conducted a secondary analysis of prospective data from the MANGO study, which documents delivery outcomes for pregnant persons at the Moi Teaching and Referral Hospital in western Kenya, from September 2020-November 2023. …”
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Stock market trend prediction using deep neural network via chart analysis: a practical method or a myth? by Erfan Radfar

“…In addition, we identify specific errors in these studies and explain how they may lead to suboptimal or misleading results. …”
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AI-Driven Global Disaster Intelligence from News Media by Fahim Sufi, Musleh Alsulami

“…The framework establishes a comprehensive methodology for integrating geospatial clustering, temporal analysis, and multimodal data processing in OSDI. By leveraging AI automation and diverse news sources, this study provides a scalable, adaptable, and ethically robust solution for proactive disaster management, improving global resilience and preparedness.…”
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Advancing Sustainable Road Construction with Multiple Regression Analysis, Regression Tree Models, and Case-Based Reasoning for Environmental Load and Cost Estimation by Joon-Soo Kim

“…A novel aspect of this research lies in its comparative analysis of different machine-learning models to address the challenge of limited and non-ideal data environments, offering valuable insights for enhancing predictive accuracy despite data scarcity. …”
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Research on the correlation between retinal vascular parameters and axial length in children using an AI-based fundus image analysis system. by Chaoyang Zhao, Huilin Li, Ziyou Yuan, Zihan Yang, Tiantian Wang, Yan Wang, Qian Tong, Shaofeng Hao

“…<h4>Objective</h4>This study aims to utilize artificial intelligence technology to conduct an in-depth analysis of fundus data from myopic children and adolescents, thoroughly exploring the correlation between retinal vascular parameters and axial length (AL), and ultimately revealing the changing patterns of retinal vascular characteristics in children with different refractive errors. …”
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Power Prediction and Technoeconomic Analysis of a Solar PV Power Plant by MLP-ABC and COMFAR III, considering Cloudy Weather Conditions by M. Khademi, M. Moadel, A. Khosravi

“…Following data validation, 10665 data sets, equivalent to 35 days, were used in the analysis. …”
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A novel fault location method for multi-terminal transmission lines based on composite analysis of time-frequency fault traveling waves by Jupeng Zeng, Xiangjun Zeng, Hao Bai, Kun Yu, Min Xu, Xiaolong She, Feng Liu

“…In order to solve the problems such as complex fault branch determination, large fault location error and low error tolerance of the existing multi-terminal transmission line (MTTL) fault location method, due to the influence of fault traveling wave (FTW) wave head (WH) time extraction accuracy and network topology structure, a novel fault location method for MTTLs based on composite analysis of time–frequency FTW is proposed. …”
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EfficientNet-B0 outperforms other CNNs in image-based five-class embryo grading: a comparative analysis by Vincent Jaehyun Shim, Hosup Shim, Sangho Roh

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Comparative Analysis of AlexNet, ResNet-50, and VGG-19 Performance for Automated Feature Recognition in Pedestrian Crash Diagrams by Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile

“…Thorough pedestrian crash data are indispensable for safety research, as the most detailed descriptions of crash scenes and pedestrian actions are typically found in crash narratives and diagrams. …”
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QUALITY ANALYSIS OF PRACTICAL TRAINING IN VOCATIONAL AND TECHNICAL EDUCATION. CASE STUDY: ILFOV COUNTY, ROMANIA, ACADEMIC YEAR 2022-2023 by Florin Cristian CIOBĂNICĂ

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Visualization Analysis of Integrating College Sports Training and Psychology into Basketball Physical Education Teaching System Based on Image Recognition Algorithm by Junzhang Cheng, Lingtao Wen, Baolei Zhang

“…The results showed that there were significant differences in scores, errors, hit rates, steals, and motivation among subjects who received psychological cues and incentives compared to the data before psychological counseling. …”
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Study on the influence mechanism and correlation model of rockfall parameters on indentation morphology by LI Hao, WANG Dong-po, YAN Shuai-xing, LI Wei, CHEN Hui, HE Si-ming

“…However, in mountainous regions lacking rockfall movement monitoring data, directly obtaining key analysis parameters such as rockfall size, impact velocity, and impact angle is extremely difficult. …”
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The Heavy‐Tailed Inverse Power Lindley Type‐I Model: Reliability Inference and Actuarial Applications by Amal S. Hassan, Diaa S. Metwally, Mohammed Elgarhy, Rokaya Elmorsy Mohamed

“…ABSTRACT The analysis and modeling of asymmetric data present an interesting and important area of research across various applied sciences, particularly in lifetime studies, medical research, and financial analysis. …”
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Univariate Time Series Analysis of Short-Term Forecasting Horizons Using Artificial Neural Networks: The Case of Public Ambulance Emergency Preparedness by Tichaona W. Mapuwei, Oliver Bodhlyera, Henry Mwambi

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