Self-Monitoring Foci, Speed, and the Relationship with Pausing Behavior in an EFL Context by Ghadah Albarqi

“…Self-monitoring—the ability to detect and correct errors during speech production plays an important role in second language production. …”
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The necessity of artificial intelligence in the nursing curriculum by Ali Pourhabib, Zahra Fotoukian, Amir Rezaie, Fatemeh Shirinkam-choori

“…This can reduce human errors, improve service quality, and improve patient health. …”
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Navigating the ChatGPT Theological Terrain: Considerations for Graduate Theology Students by Mahlon Nyongesa Juma

“…ChatGPT's biblical knowledge is theologically unsound and prone to errors. It’s unreliable in translations of ancient Biblical texts and should not replace professional knowledge of languages, particularly when handling intricate linguistic problems. …”
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Landscape of targets within nucleoside metabolism for the modification of immune responses by Ella M. Dunderdale, Evan R. Abt

“…Evidence for the importance of nucleoside metabolism in immune system control was provided by observations of immunodeficiency and autoimmunity across patients with genetic errors that alter nucleoside synthesis or breakdown. …”
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Iterative learning control of neuronal firing based on FHN and HR models. by Chunhua Yuan, Xiaotong Wang, Xiangyu Li, Yueyang Zhao

“…Numerical simulations demonstrate that the proposed control method significantly outperforms conventional PI control, achieving lower tracking errors, enhanced control accuracy, and improved system stability. …”
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The Application Of Collaboration System-Based Learning In Overcoming Syntactic Interference In The Abstracts Of Teacher Professional Program Students by Khairun Niswa

“…The analysis showed that collaborative learning significantly reduced syntactic interference such as the absence of to be, the use of inverted phrase patterns, and passive sentence structure errors. In addition, it was found that this approach increased students' linguistic awareness of the fundamental differences between Indonesian and English syntax. …”
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Translation as a catalyst for foreign language learning: a self-regulated learning approach mediated by instructor feedback and peer collaboration by Chun Li, Kizito Tekwa

“…Based on data gathered from the trainees’ collaboratively translated texts, post-study questionnaire results, and SRL logs, it was found that the trainees’ grammar, writing, vocabulary, and delivery errors significantly reduced as they translated more content. …”
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Reforming Real Estate Valuation for Financial Auditors With AI: An In-Depth Exploration of Current Methods and Future Directions by Silviu-Ionut BABTAN

“…Underscoring that AI is meant to support, not substitute, human assessors, the paper presents how these methods can enhance valuation processes, deliver more reliable valuation reports, and decrease errors, while also exploring future innovations and evolving trends in artificial intelligence for real estate industry and related professions.…”
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BANKRUPTCY PREDICTION AND FINANCIAL RISK ASSESSMENT IN EMERGING MARKETS: EVIDENCE FROM NIGERIA by Emmanuel Imuede Oyasor

“…The analysis further includes Receiver Operating Characteristic (ROC) curves and confusion matrix heatmaps to provide nuanced insights into model discriminative power and classification errors. Findings underscore the practical implications for financial institutions and regulators in improving early warning systems and mitigating systemic risks in emerging markets. …”
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Estimation of the Cholesky Multivariate Stochastic Volatility Model Using Iterated Filtering by Piotr Szczepocki

“…Results: The effectiveness of the proposed estimation method was shown in an empirical example in which the Cholesky Multivariate Stochastic Volatility Model was used in a study on safe-haven assets of one market index: Standard and Poor’s 500 and three safe-haven candidates: gold, Bitcoin and Ethereum. Implications and recommendations: In further research, the iterating filtering method may be used for more advanced multivariate stochastic volatility models that take into account, for example, the leverage effect (as in Ishihara et al., 2016) and heavy-tailed errors (as in Ishihara and Omori, 2012). …”
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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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Benefits of electronic charts in intensive care and during a world health pandemic: advantages of the technology age by Simon Ball, Felicity Evison, Laurie Lucas, Tanya Pankhurst, Richard Baker, Suzy Gallier, Jamie J Coleman, Ian Young, Anwar Shah, Steve Ryan, Helen Gyves, David Rosser, Chris Ragdale, Louise Denner, Laura Rathbone, Deborah McKee, Jolene Atia, Mark Garrick

“…User feedback was sought pre and post go-live (during the COVID-19 pandemic) and financial implications were calculated by the hospital finance teams.Results Error rates equating to 219 000/year were avoided by conversion to electronic charts. …”
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Theories of language learning

“…Ineke van de Craats examines the impact of the mother tongue on second language acquisition, discussing three models: Contrastive Analysis, Interlanguage Hypothesis, and Creative Construction Hypothesis, emphasizing how native language influences learning strategies and errors. Simona Pekarek Doehler stresses the significance of social interaction in language acquisition, proposing that effective learning occurs in social contexts where cognitive and linguistic skills are developed collaboratively. …”
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Decoding ISO 19650 Through Process Modelling for Information Management and Stakeholder Communication in BIM by Fonbeyin Henry Abanda, Bharathi Balu, Selorm Emmanuel Adukpo, Adeyemi Akintola

“…The findings indicate that process modelling significantly aids in comprehending ISO 19650, making its intricate concepts more accessible to multidisciplinary teams, enhancing stakeholder communication, improving project execution efficiency, and reducing errors and rework. Furthermore, this research emphasises the need to distinguish ISO 19650-derived elements from those adapted from other sources to ensure transparency and integrity in project management practices. …”
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Target cueing provides support for target- and resource-based models of the attentional blink. by Hannah L Pincham, Dénes Szűcs

“…This experiment additionally revealed that cueing was most effective when resources were not devoted to the cue, thereby implicating capacity limitations in the AB. Across both experiments, a novel order-error measure suggested that errors tend to decrease with an increasing duration between the targets, but also revealed that certain stimulus conditions result in stable order accuracy. …”
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Multilingual competency and academic performance: a machine learning-based analysis of the 2022/2023 Somaliland national primary exam data by Jibril Abdikadir Ali, Mustafe Khadar Abdi, Tawakal Abdi Ali, Abdisalan Hassan Muse, Mukhtar Abdi Omar, Mukhtaar Axmed Cumar

“…Models were evaluated using Mean Absolute Percentage Error (MAPE), Root Mean Squared Percentage Error (RMSPE), Root Mean Squared Logarithmic Error (RMSLE), and Relative Root Squared Error (RRSE) to assess predictive accuracy. …”
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Comparative Performance Analysis of Optimization Algorithms in Artificial Neural Networks for Stock Price Prediction by Ekaprana Wijaya, Moch. Arief Soeleman, Pulung Nurtantio Andono

“…Performance metrics such as Mean Squared Error (MSE), Mean Absolute Error (MAE), and R Square are utilized to evaluate the effectiveness of each method. …”
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A precise method for compensating shape deviation of hot-pressed glass based on neural network algorithm optimization by Shengzhou Huang, Zhaowei Tian, Dongjie Wu, Jiani Pan, Bowen Ren, Yuanzhuo Tang

“…This study aims to enhance the accuracy of glass surface contour error in the hot-pressing manufacturing process using P-SK57 glass as a focus. …”
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Quantifying Truthfulness: A Probabilistic Framework for Atomic Claim-Based Misinformation Detection by Fahim Sufi, Musleh Alsulami

“…The Expected Calibration Error (ECE) of 0.068 further validates the trustworthiness of the score distributions. …”
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Ground data analysis for PM2.5 Prediction using predictive modeling techniques by Elham Nourmohammad, Yousef Rashidi

“…The models were evaluated based on performance metrics such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and R² scores. …”
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