An Experimental-Numerical Combined Method to Determine the True Constitutive Relation of Tensile Specimens after Necking by You-de Wang, Shan-hua Xu, Song-bo Ren, Hao Wang

“…To obtain the material true constitutive relation of tensile specimens after necking, we proposed an experimental-numerical combined method (ENM) based on the simple tension test results and finite element analysis (FEA). An iterative scheme was used to minimize the errors between the simulated and experimental load-displacement curves by modifying the imported stress-strain data step by step, and the true stress was determined when the error was less than a given infinitesimal value. …”
Get full text

Selected Macroeconomic Variables and Stock Market Movements: Empirical evidence from Thailand by Joseph Ato Forson, Jakkaphong Janrattanagul

“…This paper investigates and analyzes the long-run equilibrium relationship between the Thai stock Exchange Index (SETI) and selected macroeconomic variables using monthly time series data that cover a 20-year period from January 1990 to December 2009. …”
Get full text

Comparisons between Resampling Techniques in Linear Regression: A Simulation Study by Anwar Fitrianto, Punitha Linganathan

“…The study aims to compare resampling techniques in linear regression. The original data used in the study is clean, without any influential observations, outliers and leverage points.  …”
Get full text

Studi Pembuatan Kelas Bonita pada Tegakan Acacia mangium Willd. di PT. Musi Hutan Persada, Sumatera Selatan by Heru Budi Santoso, Ronggo Sadono, Ari Susanti

“…It comprises two phases, namely dominant height curve development and site index construction based on semi-permanent and permanent plots data. The regression analysis of maximum diameter was employed to estimate the dominant height. …”
Get full text

Bayesian multiple changing-points detection by Sang Gil Kang, Woo Dong Lee, Yongku Kim

Get full text

Market Phases and Price Discovery in NFTs: A Deep Learning Approach to Digital Asset Valuation by Ho-Jun Kang, Sang-Gun Lee

“…Analyzing 26,287 h of transaction data across major marketplaces, the model demonstrates superior predictive accuracy compared to conventional approaches, achieving a 33.5% reduction in Mean Absolute Error versus LSTM models, a 29.7% improvement over Transformer architectures, and a 30.1% enhancement compared to LightGBM implementations. …”
Get full text

Use of Neuro-Net Modeling for Forecasting Key Finance Figures at Trade Enterprises by A. R. Baghirzade

“…The research is based on analyzing data since 2019 after the merger of the companies ‘M. …”
Get full text

Determinants of Industrial Production in Turkey: ARDL Model by Bilge Pekçağlayan

“…When the literature on the industrial production index is examined, it is seen that the factors affecting the industrial production index and the analysis methods differ from each other. In this study, the leading indicators that effects the industrial production index are examined with the ARDL (Autoregressive Distributed Lag) Model using monthly data between 2007 and 2020 in the Turkish Economy. …”
Get full text

Relationship between Strategic Management of Human Resources and the Culture of Organizational Fallibility with the Mediating Role of Information Technology by Mojdeh Mirzayi, Monika Motaghi

“…For statistical analysis, one-sample t-tests and Pearson's correlation coefficient were used. …”
Get full text

Resilient Multimedia Embedding in DICOM Images: A Robustness Evaluation Under Multiple Attacks by Ramyashree, P. S. Venugopala, S. Raghavendra, Vijay S. Kubihal, B. Ashwini

“…The primary objective is to evaluate the performance of these embedding techniques in terms of insertion time, extraction time, Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), and Mean Squared Error (MSE). To assess the robustness of the embedded data, a series of attacks are applied to the DICOM images, including zero attack, salt and pepper attack, Gaussian attack, and speckle noise attack. …”
Get full text

Long and short term fault prediction using the VToMe-BiGRU algorithm for electric drive systems by Lihui Zheng, Xu Fan, Zongshan Kang, Xinjun Jin, Wenchao Zheng, Xiaofen Fang

“…The VToMe-BiGRU is an intelligent analysis method applied to automobile workshops, which is closer to the data source for data processing and analysis, alleviates the strong dependence on real-time network transmission, reduces the time consuming and labor-intensive process of manually extracting and analyzing the features, and improves the accuracy and reliability of the fault prediction. …”
Get full text

Re-evaluation of the psychometric properties of ATE following changes in euthanasia regulations in Spain. by Daniel Lerma-García, María Laura Parra-Fernandez, Cristina Romero-Blanco, Sandra Martínez-Rodriguez, María Dolores Onieva-Zafra

“…Fit indices indicated good model fit: root mean square residual = 0.040, goodness-of-fit index = 0.960, adjusted goodness-of-fit index = 0.927, and root mean square error of approximation = 0.069. After performing a Parallel Analysis, two loading factor were found. …”
Get full text

Improving the Classification Accuracy for Near-Infrared Spectroscopy of Chinese Salvia miltiorrhiza Using Local Variable Selection by Lianqing Zhu, Haitao Chang, Qun Zhou, Zhongyu Wang

“…Combining the strengths of the local algorithm and interval partial least squares, the spectra data have firstly been divided into several pairs of classes in sample direction and equidistant subintervals in variable direction. …”
Get full text

Polish Steel Production Under Conditions of Decarbonization—Steel Volume Forecasts Using Time Series and Multiple Linear Regression by Bożena Gajdzik, Radosław Wolniak, Anna Sączewska-Piotrowska, Wiesław Wes Grebski

“…The research presented will be an attempt, using data from 2006 to 2023, to create econometric models and forecast production volumes until 2028, along with influencing factors. …”
Get full text

Globalization and Per Capita Income Growth in Emerging Economies by Ubong Edem Effiong

“…The analysis follows a sequential order of unit root test based on the augmented Dickey-Fuller, autoregressive distributed lag (ARDL) bounds test for cointegration, and error correction model. …”
Get full text

Online Meta-Recommendation of CUSUM Hyperparameters for Enhanced Drift Detection by Jessica Fernandes Lopes, Sylvio Barbon Junior, Leonimer Flávio de Melo

“…With the increasing demand for time-series analysis, driven by the proliferation of IoT devices and real-time data-driven systems, detecting change points in time series has become critical for accurate short-term prediction. …”
Get full text

PARAMETRIC DIAGNOSTICS OF THE CENTRIFUGAL SUPERCHARGER'S TECHNICAL CONDITION DURING OPERATION by Regina A. Khuramshina

“…Results  The software implementation of the mathematical model of centrifugal compressor is carried out using a DVIGwT PC. The analysis of calculations indicates that the model is appropriate, with the error being due to taking into account the properties of iso-butane and i-hexane, in contrast with the VNIIGAZ technique. …”
Get full text

A Second-Order Sliding Mode Control Scheme With Fuzzy Logic-Based Online Sliding Surface Adjustment for Buck Converters by Abdul Kareem, V. P. Basheer, Varuna Kumara

Get full text

Metagenomic source tracking after microbiota transplant therapy by Susan L. Hoops, Daphne Moutsoglou, Byron P. Vaughn, Alexander Khoruts, Dan Knights

“…MAGEnTa recovers engrafted strains with minimal type II error in a simulated dataset and is robust to shallow sequencing depths in a downsampled dataset. …”
Get full text

Using the optimal combined index weight ratio to improve the probability of anomaly detection in big area additive manufacturing by Monique S. McClain, Dhrubajit Chowdhury, Omar Eldaghar, Kris Villez

“…Here, we introduce two new approaches to the traditional weight selection approach using simulated and BAAM image data. Approach 1 uses a theoretically motivated optimum inspired by probabilistic principal component analysis. …”
Get full text