Effects of pragmatics awareness instruction (PAI) in enhancing EFL learners’ communicative competence by Mihretu Yihunie Yalew, Dawit Amogne, Birhanu Simegn Chanie

“…The result from the IG participants was found statistically significant with a p-value, of p < 0.001; which is statistically significant with more than 99% probability of confidence and 1% probability of error. Similarly, the effect size of the IG was reported as d = 0.8 and above; which implies there was a strong positive effect relationship between PAI intervention and learners’ communicative competence improvement. …”
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Engine Mass Flow Estimation through Neural Network Modeling in Semi-Transient Conditions: A New Calibration Approach by T. Savioli, M. Pampanini, G. Visani, L. Esposito, C. A. Rinaldini

“…Nowadays, engine experimental research represents a very expensive field within the automotive industry, but it remains fundamental for engine and vehicle development. …”
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Beach Morphology Changes Due to Sediment Transport Generated by Wave and Current in The Sea Waters of Bengkulu City, Indonesia by Supiyati Supiyati, Suwarsono Suwarsono, Mhd Ikhwanuddin Abdullah, Ichsan Setiawan

“…In this study, numerical modeling and field measurements of the current velocity and wave height of the ocean were used. The results of the research show verification of wave height and velocity of ocean currents between model simulation and field measurement is a fairly good fit, with a Mean Absolute Percent Error (MAPE) of 1.5% for wave height and 1.9% for the current velocity. …”
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Intelligent gear decision method for vehicle automatic transmission system based on data mining by Yong Wang, Jianfeng Zeng, Pengfei Du, Huachao Xu

“…The results indicate that, during a 430 s driving segment, the intelligent gear decision method consumes only 464 mL of fuel, closely resembling the economic strategy's 457 mL, with a gear shift frequency of 53, significantly better than the 79 shifts in the economic strategy. Moreover, the error rate for slope condition recognition is only 0.062 %. …”
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Comparation of specific equation of fat percentage in Brazilian military women with bioimpedance and infrared interactance methods by Paulo Alberto Porto Silva, José Fernandes Filho

“…With EPE (Standard Estimate Error) of 2.7, r (Correlation Index) of 0.99 and R2 (Coefficient of Determination) of 0.99. …”
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A Comparative Analysis of the Diffusion of Mobile Technologies in the Visegrad Four Using an ECM Model by Marcin Salamaga

“…To study the impact of specialisation according to foreign direct investments (FDI) located in V4 countries and their export specialisation on the process of innovation diffusion, an error correction model (ECM) estimated for selected industrial processing sectors was used. …”
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Declared and actual students’ physical activity by Cholewa Cholewa, Miłosz Witkowski, Jacek Wąsik, Tomasz Góra

“…On this basis, it can be concluded that there is a risk of error in assessing the volume of physical activity in a survey. …”
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Hull form optimization of fully parameterized small ships using characteristic curves and deep neural networks by Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo

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Adaptive controller for multirotor based on estimated parameters by Sophyn Srey, Sarot Srang, Lycheck Keo

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Post hoc calibration of medical segmentation models by Axel-Jan Rousseau, Thijs Becker, Simon Appeltans, Matthew Blaschko, Dirk Valkenborg

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Modeling and Design of ANFIS Dynamic Sliding Mode Controller for a Knee Orthosis of Hemiplegia by Belay Eshetu, Solomon Seid

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The Association between Antiphospholipid and Coagulation in Pregnant Women with Blood Clotting by Dabah Dakil Awad, Iktefa Abdul Hameed Mohammed Saeed, Maha El. Jasim

“…The mean concentration (mean ±standard error) for ACL IgM was 23.43 ± 1.4, whereas ACL IgG was 33.11 ± 1.28, which is in contrast with the control group of ACL IgM (2.99 ± 0.22) and ACL IgG (3.51 ± 0.29). …”
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Prediction of instability of formwork concrete pier based on big data machine learning for secondary mining without coal pillar mining by Yanhui Zhu, Ye Tian, Peilin Gong, Kang Yi, Tong Zhao

“…A Gaussian process regression (GPR)-based stress prediction model was developed (optimal kernel: ARD-Rational-Quadratic-Kernel, with MSE = 1.3463, RMSE = 1.1603, MAE = 0.6138, and MAPE = 0.4041), demonstrating significantly higher accuracy than linear regression models (error reduced by 1–2 orders of magnitude) and BP neural networks (MSE = 2.0962). …”
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Realistic synthetic dataset generation for cyber-physical systems: a performance evaluation by Yaa Acquaah, Kaushik Roy

“…The Power system dataset exhibited the smallest difference in validation Mean Absolute Error (MAE), with values of 0.0184 for the real data and 0.0196 for the synthetic data. …”
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Simulation and Analysis of the Constraint Effects of Multi-Cavity Double Steel Plate Composite Walls by Muxuan Tao, Yulun Wang, Jizhi Zhao

“…The proposed regression-based confinement model demonstrates a prediction error of less than 15% in 97.8% of the 1342 finite element models that successfully converged in batch simulations.…”
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Comparison of LSTM and Transformer Models in Predicting NVIDIA Stock Closing Prices and the Application of Rule-based Trading Strategies by Muhammad Irfan Abdul Gani, Putry Wahyu Setyaningsih

“…The results show that the LSTM model achieved a Root Mean Squared Error (RMSE) of 2.7703 on the training data and 7.3796 on the testing data, while the Transformer model produced an RMSE of 5.3573 (training) and 10.8563 (testing). …”
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Comparative Evaluation of Ensemble Machine Learning Models for Methane Production from Anaerobic Digestion by Dorijan Radočaj, Mladen Jurišić

“…From the authors’ knowledge based on existing research, present knowledge of their prediction accuracy and utilization in anaerobic digestion modeling relative to individual machine learning methods is incomplete. …”
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Improved MViTv2-T model for insulator defect detection by Fuhong Meng, Guowu Yuan, Hao Zhou, Hao Wu, Yi Ma

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AI-powered spatiotemporal imputation and prediction of chlorophyll-a concentration in coastal ecosystems by Fan Zhang, Hiusuet Kung, Fa Zhang, Can Yang, Jianping Gan

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Coupling circuit design for Single-Wire Earth Return PLC applications through cascaded s-parameters optimization by Kristi Beqirllari, Cagil Ozansoy, Douglas Gomes

“…The proposed method has been applied to different cost functions and different levels of target mean error. Laboratory and field tests validate the proposed method's effectiveness in enhancing signal transmission over SWER networks. …”
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