Orthographic processing of proper Names: A proposal to investigate the orthographic cue for second language readers by Kimberly Klassen

“…The assumption that L2 readers are skilled at identifying proper names from the initial capital warrants investigation as there are implications for the processing load in both pedagogical and testing situations. …”
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Fuzzy C-Means and Explainable AI for Quantum Entanglement Classification and Noise Analysis by Gabriel Marín Díaz

“…The results have practical implications in quantum error correction, quantum cryptography, and the optimization of quantum technologies under realistic conditions.…”
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Barriers to Regular Student Attendance in Sociology Programs at Mid-West University, Nepal by Anand Prasad Subedi, Bed Prakash Dhakal

“…The sample size of the survey is determined based on [ ]  formula where the margin of error is 0.05, in which the sample size (n) is 63. …”
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Comparative analysis of mental and physical fatigue on motor coordination, visual search patterns, perceived effort, and performance outcomes in closed-loop aiming task. by Maryam Khalaji, Parvaneh Shamsipour Dehkordi, Fatemehsadat Mousavian, Saeed Alboghebeish

“…In addition to the radial error, swing accuracy, Quiet Eye Duration (QED), and fixation number were recorded before and after fatigue. …”
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Comparative Judgment: Building a Shared Consensus Over Rater Variation in Assessing Second Language Writing Performance by Qian Wu

“…Additionally, inconsistencies were explored when raters and texts significantly deviated from the consensus of judgments, and practical implications were discussed. The results provide empirical evidence for the construct validity of CJ and add a novel perspective to the discussion of rater variation in second language writing assessment.…”
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Student Enrolment and Output Effects in Poland: 2SLS and VAR Estimates by Joanna Żyra

“…Research Design & Methods: Educational effects on output, i.e. industrial production and gross domestic product (GDP), are estimated by means of Two-Stage Least Squares (2SLS) model, vector error-correction autoregression (VAR/VEC) model, and with the application of annual data sample for the period of 1992-2017. …”
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Stock Market Index Prediction Using CEEMDAN-LSTM-BPNN-Decomposition Ensemble Model by John Kamwele Mutinda, Abebe Geletu

“…The model’s predictive accuracy is measured using six metrics: root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), symmetric mean absolute percentage error (SMAPE), root mean squared logarithmic error (RMSLE), and R-squared. …”
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CHINESE YUAN EXCHANGE RATE AGAINST THE INDONESIAN RUPIAH PREDICTION USING SUPPORT VECTOR REGRESSION by Steven Soewignjo, Ni Wayan Widya Septia Sari, Andini Putri Mediani, M. Aqil Zaidan Kamil, Dita Amelia, Nur Chamidah

“…The model achieves high accuracy, with a Mean Absolute Percentage Error (MAPE) of 1.738%, a Root Mean Squared Error (RMSE) of 50.661 for the training data and a MAPE of 2.516%, and an RMSE of 64.735 for the testing data. …”
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Predictive Modeling of Water Level in the San Juan River Using Hybrid Neural Networks Integrated with Kalman Smoothing Methods by Jackson B. Renteria-Mena, Eduardo Giraldo

“…The effectiveness of the models was evaluated using standard regression metrics, such as Nash–Sutcliffe efficiency (NSE), mean square error (MSE), and mean absolute error (MAE), in addition to Kling–Gupta efficiency (KGE). …”
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Evaluation of aerodynamic coefficients of supercritical airfoil NASA sc(2) 0712: A comparative study of 2D and 3D flow models with experimental validations by Šukunda Teodora, Svorcan Jelena, Ivanov Toni

“…The investigation aims to highlight the discrepancies observed between the two modeling approaches and their implications for aerodynamic performance predictions. …”
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Learning to represent causality in recommender systems driven by large language models (LLMs) by Serge Stéphane Aman, Tiemoman Kone, Behou Gerald N’guessan, Kouadio Prosper Kimou

“…We further provide an error analysis and discuss the implications of using causal modeling for scalable, transparent, and GDPR-compliant recommender systems. …”
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Interpretable multi-horizon time series forecasting of cryptocurrencies by leverage temporal fusion transformer by Arslan Farooq, M. Irfan Uddin, Muhammad Adnan, Ala Abdulsalam Alarood, Eesa Alsolami, Safa Habibullah

“…The study demonstrates that the ADE-TFT model outperforms its lower-layer counterparts in terms of forecasting accuracy, with reduced Mean Absolute Percentage Error (MAPE), Mean Squared Error (MSE), and Root Mean Square Error (RMSE) values, particularly when using a higher hidden layer configuration (h=8). …”
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Unveiling the future: Wavelet- ARIMAX analysis of climate and diarrhea dynamics in Bangladesh’s Urban centers by Md. Waliullah, Md. Jamal Hossain, Md. Raqibul Hasan, Abdul Hannan, Mohammad Mafizur Rahman

“…Based on climatic variables, Wavelet-ARIMAX can accurately predict diarrheal occurrence, as indicated by the mean absolute error (MAE), root mean squared error (RMSE), and root mean squared logarithmic error (RMSLE). …”
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Optimal Selection of Intrinsic Mode Functions Applied to Seizure Detection by Luis Daladier Guerrero Otoya, Maximiliano Bueno López, Eduardo Giraldo Suárez, Marta Molinas Cabrera

“…Conclusions: Our method is a fundamental tool that enhances epileptic seizure identification from EEG signals, with significant clinical implications in the diagnosis and treatment of epilepsy.…”
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Impact of tourism, globalization, and technological patents on ecological footprint in ASEAN countries: static and dynamic panel regression approaches by Nazhat Nury Aspy, Liton Chandra Voumik, Miguel Angel Esquivias, Lilik Sugiharti, Mihir Kumar Das, Dulal Chandra Pattak

“…Focusing on eight ASEAN nations (Brunei, Cambodia, Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam) for the period between 1990 and 2020, this study employs Driscoll Kraay Standard Error (DKSE) and Quantile Regression methodologies to examine this phenomenon comprehensively. …”
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Making student voice heard in dialogic feedback: feedback design matters by Jessica To, Dominique Aluquin, Kelvin Heng Kiat Tan

“…To bridge the gap, this collaborative action research explored how feedback could be redesigned to invite student voice in a Singapore secondary school.MethodologyWe collaborated with three Social Studies teachers to transform their error-focused practice into dialogic feedback accentuating student voice. …”
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Extreme heat prediction through deep learning and explainable AI. by Fatima Shafiq, Amna Zafar, Muhammad Usman Ghani Khan, Sajid Iqbal, Abdulmohsen Saud Albesher, Muhammad Nabeel Asghar

“…Extreme heat waves are causing widespread concern for comprehensive studies on their ecological and societal implications. With the ongoing rise in global temperatures, precise forecasting of heatwaves becomes increasingly crucial for proactive planning and ensuring safety. …”
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Transforming higher education with robotic process automation: enhancing efficiency, innovation, and student-centered learning by Vivek Bhardwaj, Mukesh Kumar

“…Case studies reveal common success factors, including significant time savings, error reduction, and improved satisfaction for both students and staff. …”
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Research on improving the ranging accuracy of ships with stereo vision through Kalman filter optimization. by Zhongbo Peng, Jie Han, Liang Tong, Lumeng Wang, Dan Liu, Shijie Sun

“…Within a distance of 20m from the ship target, the error can be controlled within 3%, showcasing the applicability of the method proposed in this paper in complex inland waterway environments contributes to the enhancement of ships' environmental perception capabilities and navigation safety, holding positive implications for the development of intelligent vessels.…”
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Monetary Policy Transmission Under Global Versus Local Geopolitical Risk: Exploring Time-Varying Granger Causality, Frequency Domain, and Nonlinear Territory in Tunisia by Emna Trabelsi

“…Evidence is extracted through a novel composite index that we construct using Principal Component Analysis (PCA). Our results have implications for the Central Bank’s monetary policy conduct and communication practices.…”
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