Payment System Revolution and Monetary Policy in the Face of Goods Price Transformation: The Effect of Non-Cash Transactions, Interest Rates, and Exchange Rates on Indonesian Infla... by Rahmansyah Harum, Indra Maipita, Fitrawaty Fitrawaty

“… This study aims to analyze the effect of non-cash transactions, interest rates, and exchange rates on inflation in Indonesia in the period from January 2021 to December 2023. Using the Error Correction Model (ECM) approach, this study examines the short-term and long-term relationships between these variables. …”
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Antenna Modeling and Reconstruction Accuracy of Time Domain-Based Image Reconstruction in Microwave Tomography by Andreas Fhager, Shantanu K. Padhi, Mikael Persson, John Howard

“…In this paper an antenna system immersed in water is used to image different canonical objects in order to investigate the implication of modeling errors on the final reconstruction using a time domain-based iterative inverse reconstruction algorithm and three-dimensional FDTD modeling. …”
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Infrastructure and sectoral FDI in China: an empirical analysis by Faisal Mehmood, Muhammad Atique, Wang Bing, Hameed Khan, Henna Henna

“…We use the Estimating Autoregressive Distributed Lag (ARDL) bound testing and Vector Error Correction Model (VECM) procedures of estimation. …”
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FDI and Trade Connectivity in EU: New Evidence from a Non-Linear Panel Smooth Transition VECM by Pavlos Stamatiou, Nikolaos Dritsakis

“…Taking into account the 2009 regime shift, we estimate a panel smooth transition vector error correction model (PST-VECM) to examine whether real GDP per capita, trade openness, and FDI have non-linear short-term and long-term causal relationships. …”
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Development of web-based resource usage patterns among English-to-Chinese trainee translators by Yuxing Cai, Vanessa Enríquez Raído

“…The quality assessment revealed a slight negative correlation between the translation error scores and the percentage of time allocated to knowledge-based resources. …”
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The dual-edged potential of AI autonomously defining loss functions by Abbas Ghori

“…This paper discusses classical loss functions, including mean squared error (MSE), cross-entropy, Huber loss, and a range of other problem-specific variants that appear in scenarios dealing with imbalanced data, adversarial learning, and reinforcement learning. …”
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Tuning the viscoelastic features required for 3D printing of PVC-acrylate copolymers obtained by single electron transfer-degenerative chain transfer living radical polymerization... by M. I. Calafel, R. H. Aguirresarobe, N. Sadaba, M. Boix, J. I. Conde, B. Pascual, A. Santamaria

“…The analysis of the rheological implications of 3D Printing process allows establishing the basic viscoelastic conditions that the samples should fulfil to be printable, avoiding the ‘trial and error’ procedure. …”
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Domestic Debt and Economic Growth in Nigeria: An ARDL Bounds Test Approach by Ibrahim Ayuba K., Khan Shazida Mohd

“…Furthermore, the paper develops a system to assess the speed of the adjustment mechanism coefficient in an error correction model (ECM).…”
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Forecasting the development of poultry farming based on time series by Anatolii Kulyk, Katerina Fokina-Mezentseva, Alla Saiun, Daryna Saiun

“…To assess the quality of the forecast, the indicators of the mean absolute error, the standard deviation, the mean absolute error in percentage and the mean absolute scaled error for 24 months of forecasting are determined and analysed. …”
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Data-driven prediction of rate of penetration (ROP) in drilling operations using advanced machine learning models by Guoli Huang, Sarah Kanaan Hamzah, Pinank Patel, T. Ramachandran, Aman Shankhyan, A. Karthikeyan, Dhirendra Nath Thatoi, Deepak Gupta, S. AbdulAmeer, Mariem Alwan, Zahraa Saad Abdulali, Mahmood Jasem Jawad, Hiba Mushtaq, Mohammad Mahtab Alam, Hojjat Abbasi

“…Among the models tested, the Random Forest algorithm demonstrated outstanding performance, achieving an R2 of 0.955, a Mean Squared Error (MSE) of 0.119, and an Average Absolute Relative Error (AARE%) of 7.683, highlighting its reliability and robustness in predicting ROP. …”
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Thermal resistance capacity model for transient simulation of capillary-box heat exchangers by Huili Yu, Yuhao Wang, Guangrui Xv, Di Wu, Songtao Hu

“…The model is verified against experimental data, achieving very good agreement with the mean bias error (MBE) of 7.2 %. A comparison with a three-dimensional computational fluid dynamic (CFD) model indicates that the TRC model's maximum relative error and MBE are 0.7 % and 2.0 % lower than those of the CFD model. …”
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RETRACTED ARTICLE: Machine learning intelligent based hydromagnetic thermal transport under Soret and Dufour effects in convergent/divergent channels: a hybrid evolutionary numeric... by Muhammad Naeem Aslam, Nadeem Shaukat, Arshad Riaz, Ilyas Khan, Shafiullah Niazai

“…Additionally, we conduct a comprehensive analysis that includes metrics such as mean squared error, minimum values, maximum values, average values, and standard deviation over these multiple independent runs. …”
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Explainable Ensemble Learning Model for Residual Strength Forecasting of Defective Pipelines by Hongbo Liu, Xiangzhao Meng

“…The model’s prediction performance is evaluated using mainstream metrics such as the Mean Absolute Percentage Error (MAPE), Coefficient of Determination (R²), Root Mean Square Error (RMSE), robustness analysis, overfitting analysis, and grey relational analysis. …”
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The role of the measurement and measurement equipment management system in the arms industry by Monika Bernatek, Mieczysław Jan Magierski

“…In this way, the measurement is more reliable, both human error and system unreliability can be excluded. …”
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Using Real Electronic Health Records in Undergraduate Education: Roundtable Discussion by Fatima Nadeem, Jessica Azmy, Asieh Yousefnejad Shomali, Benjamin Diette, Lloyd J Gregory, Angela C Davies, Kurt C Wilson

“…Concerns included exposing individual clinicians to unfounded scrutiny and the potential consequences of incidental findings within EHRs. The ethical implications of overlooking perceived errors within EHRs versus the impracticality of acting on them were discussed. …”
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The Contribution to Understanding the Study of Psycholinguistics in Facilitating Balaghah Learning by Sokip Sokip, Ahmad Nurcholis, Kojin Kojin, Muhammad Zaenal Faizin, Abu Hanifa

“…This article showed that the important role of psycholinguistics in balaghah learning was to examine the background of the problem from errors in understanding the meaning of language and the steps for handling it (problem solving). …”
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Social determinants of primordial prevention on youth: a Portuguese population-based cross-sectional study by Carlos Franclim Silva, Luísa Sá, Daniel Beirão, Paula Rocha, Paulo Santos

“…The study revealed a high prevalence of unhealthy behaviours: dietary errors (43.6%), insufficient physical activity (51.3%), regular tobacco use (14.7%), and regular alcohol consumption (13.4%). …”
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False expert report by Jakub Matis

“… This paper explores the legal dimensions and implications of false expert reports in criminal proceedings within the Slovak Republic. …”
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Bending it like Beckham: how to visually fool the goalkeeper. by Joost C Dessing, Cathy M Craig

“…<h4>Background</h4>As bending free-kicks becomes the norm in modern day soccer, implications for goalkeepers have largely been ignored. …”
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Ecological Study of HIV Infection and Hypertension in Sub-Saharan Africa: Is There a Double Burden of Disease? by C Angkurawaranon, D Nitsch, N Larke, A M Rehman, L Smeeth, J Addo

“…Linear regression analyses using robust standard errors (allowing for clustering at country level) were carried out for associations of age-standardised hypertension prevalence ratios (standardized to rural Uganda's hypertension prevalence data) with HIV prevalence, adjusted for national indicators, year of study and sex of the study population.…”
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