Investigating EFL children’s task motivation concerning the use of models as written corrective feedback by María Luquin, María del Pilar García Mayo

“…Based on these findings, pedagogical implications will be discussed.…”
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The relationship between artificial intelligence and low-skilled employment in South Africa by Fiyinfoluwa Giwa, Nicholas Ngepah

“…This manuscript explores the relationship between AI adoption, low-skilled employment dynamics, and its implications using key economic indicators such as inflation, interest rates, and foreign direct investment (FDI). …”
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Selected Macroeconomic Variables and Stock Market Movements: Empirical evidence from Thailand by Joseph Ato Forson, Jakkaphong Janrattanagul

“…Furthermore, in non-equilibrium situations, the error correction mechanism suggests that the consumer price index, industrial production index and money supply each contribute in some way to restore equilibrium. …”
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EEG Asymmetry and ERN: Behavioral Outcomes in Preschoolers. by J Patrick Begnoche, Rebecca J Brooker, Matthew Vess

“…., hemispheric asymmetry) and inhibition-related neural activity (i.e., error-related negativity [ERN]) in preschool-aged children. …”
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Magic-Induced Computational Separation in Entanglement Theory by Andi Gu, Salvatore F.E. Oliviero, Lorenzo Leone

“…We also offer theoretical explanations for previous numerical observations, highlighting the broad implications of the ED-MD distinction across various subfields of physics.…”
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The Problem of Hate Speech: Beliefs of Chilean Students About Hate Speech with an Emphasis on Gender Perspectives by Jesús Marolla-Gajardo, María del Consuelo Díez-Bedmar

“…By addressing the complexities of hate speech within educational contexts, this research provides practical implications for policy reform and program development. …”
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Developmental features of multi-word expressions in spoken discourse by Chinese learners of English by Huiping Zhang, Xingzuo Wang

“…Drawing upon these findings, this study proposes several pedagogical implications for enhancing the teaching and learning of MWEs in spoken discourse.…”
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Climate Change Analysis in Malaysia Using Machine Learning by Anishalache Subramanian, Naveen Palanichamy, Kok-Why Ng, Sandhya Aneja

“…Performance measures like Mean Absolute Error (MAE), Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) are used to assess three ML models: Support Vector Regression (SVR), Random Forest Regression (RFR) and Linear Regression (LR). …”
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Levo-Stepholidine as a Potential Cognitive Enhancer: Insights into Executive Function and Memory Improvements by Zhengwei Hu, Xueqing Zhu, Yirui Liang, Yuqiu Zhang, Ping Zheng, Xuehan Zhang

“…Results: Rats receiving <i>l</i>-SPD made fewer errors in the T-maze, exhibited faster stop action in response to the stop signal, and showed longer-lasting memory retention. …”
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Uso de recursos TIC en la clase de Educación Física. Una experiencia positiva con el vídeo digital y el salto vertical (New technologies in the Physical Education class. A positiv... by Daniel Rojano Ortega

“…This jump has been traditionally evaluated with the Sargent’s test but this test has some errors which derive from the measuring process. Nowadays there are new very precise instruments often used in sports for the analysis of the vertical jump, but their high prices make it difficult to introduce them in the school. …”
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FUTURE TRENDS IN MILK FAT CONTENT: A FIVE-YEAR FORECAST FOR ROMANIA AND THE EUROPEAN UNION by Raluca-Aniela GHEORGHE-IRIMIA, Dana TĂPĂLOAGĂ, Cosmin ȘONEA, Paul-Rodian TĂPĂLOAGĂ, Silviu-Ionuț BEIA

“…The reliability of the forecasting model is reinforced by positive statistical indicators, such as a narrow Mean Absolute Scaled Error (MASE) and Root Mean Squared Error (RMSE), indicating a strong predictive precision. …”
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Advancing Smart Zero-Carbon Cities: High-Resolution Wind Energy Forecasting to 36 Hours Ahead by Haytham Elmousalami, Aljawharah A. Alnaser, Felix Kin Peng Hui

“…Predictive accuracy was evaluated using mean absolute percentage error (MAPE) and mean square error (MSE). Additionally, WSPFS advances the smart wind energy deep decarbonization (SWEDD) framework by calculating the carbon city index (CCI) to define the carbon-city transformation curve (CCTC). …”
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An Evaluation of Machine Learning Models for Forecasting Short-Term U.S. Treasury Yields by Yi-Fan Wang, Max Yue-Feng Wang, Li-Ying Tu

“…Using historical data from the Federal Reserve Economic Data (FRED), this study finds that the RF model offers the most accurate short-term predictions, achieving the lowest mean squared error (MSE) and mean absolute error (MAE), with an R² value of 0.5760. …”
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The Role of Organisational Culture and Situational Factors in Predicting Workplace Deviation Among Public Employees by Benjamin Adegboyega OLABIMITAN, Sunday Samson BABALOLA

“…Limitations of the study – The study outcome may not be free of sampling error and non-response error due to self-reported surveys that could be subject to bias. …”
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The Impact of Velocity Update Frequency on Time Accuracy for Mantle Convection Particle Methods by S. J. Trim, S. L. Butler, R. J. Spiteri

“…Accordingly, they may be used to efficiently compute solutions to within modest error tolerances. For small error tolerances, however, ERK4 was the most efficient.…”
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Case report: Hepatocellular carcinoma in a patient with Pyridoxamine 5-phosphate oxidase (PNPO) deficiency undergoing pyridoxal 5-phosphate (PLP) treatment by Jesse Zhen Cheng Lee, Chit Kwong Chow, Cheuk-Wing Fung, Stephen Tak Yau Lui, Suet-Na Sheila Wong

“…Pyridoxamine 5-phosphate oxidase (PNPO) deficiency is an autosomal recessive inborn error of metabolism that typically manifests as seizures resistant to conventional anticonvulsants, often presenting in the neonatal period to early infancy. …”
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IDENTIFYING MOTIVATORS OF ECOTOURISM DESTINATION COMPETITIVENESS: THE EXAMINATION ON SOFT INFRASTRUCTURE CONSTRUCTS AND MODERATING IMPACT OF MOBILE TECHNOLOGY by Wei Chiang Chan, May Chiun Lo, Wan Hashim Wan Ibrahim, Abang Azlan Mohamad, Jun Zhou Thong

“…However, due to the COVID-19 pandemic, the study was limited to domestic tourists, and the implications of these findings are discussed.  …”
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Modeling Multimedia Ad Exposure: The Role of Low-Level Audiovisual Features by Urban Burnik, Andrej Kosir, Gregor Strle

“…Bootstrap analysis confirmed model robustness, showing lower error rates and stable coefficients for polynomial models. …”
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Optimizing Gated Recurrent Unit (GRU) for Gold Price Prediction: Hyperparameter Tuning and Model Evaluation on Historical XAU/USD Data by Abdul Faqih, Muhammad Jauhar Vikri, Ita Aristia Sa’ida

“…These results highlight the potential of the GRU model in accurately forecasting gold prices, with implications for financial decision-making . However, the prediction error suggests that further improvements could be made by incorporating external factors or exploring advanced model architectures.…”
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Multi-modality deep learning for pulse prediction in homogeneous nonlinear systems via parametric conversion by Hao Zhang, Linshan Sun, Jack Hirschman, Sergio Carbajo

“…Our results demonstrate a 73% reduction in prediction error and an 83% improvement in computational efficiency compared to conventional neural networks. …”
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