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  1. 281

    Students’ Perception of Automated Written Corrective Feedback Provided by Grammarly in Enhancing Writing Skills by Hanif Muti Aruna, Teguh Sarosa

    Published 2025-05-01
    “…However, due to the limited time for interaction with the lecturer during writing lessons, the lecturer may struggle to provide comprehensive feedback to students regarding their errors. One solution is to use Grammarly as an automated tool for written corrective feedback. …”
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  2. 282

    Clinical and Preclinical Cognitive Function Improvement after Oral Treatment of a Botanical Composition Composed of Extracts from Scutellaria baicalensis and Acacia catechu by Mesfin Yimam, Bruce P. Burnett, Lidia Brownell, Qi Jia

    Published 2016-01-01
    “…This data suggest that UP326 may help maintain memory, sustain speed of processing, and reduce the number or memory errors as we age.…”
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    Article
  3. 283

    Impact of Phase Noise on Range Estimation Accuracy in Harmonic FMCW Radar Systems by Ahmed El-Awamry, Feng Zheng, Thomas Kaiser, Maher Khaliel

    Published 2025-01-01
    “…However, phase noise, particularly in harmonic systems, presents a significant challenge by degrading range accuracy and increasing frequency measurement errors. In this study, a comprehensive theoretical model is developed to quantify the effects of phase noise on range estimation errors, providing a foundation for understanding its implications on system performance. …”
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  4. 284

    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

    Published 2024-11-01
    “…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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  5. 285

    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

    Published 2025-01-01
    “…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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    Article
  6. 286

    Development Model of Halal Order Management Systems (OMS) for Online Business Pet Shop in Indonesia by Ricky Aditya, Effy Zalfiana Rusfian

    Published 2024-12-01
    “…Using Soft Systems Methodology (SSM), the research addresses operational challenges, including stock errors, delivery inefficiencies, and the segregation of halal and non-halal products. …”
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  7. 287

    Designing Randomized Experiments to Predict Unit-Specific Treatment Effects by Elizabeth Tipton, Michalis Mamakos

    Published 2025-12-01
    “…We consider how different sampling processes and models affect the mean squared error of these predictions. The results indicate, for example, that problems of generalizability—differences between study samples and target populations—can greatly increase prediction error. …”
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  8. 288

    Nonlinearity of the Fidelity in Open Qudit Systems: Gate and Noise Dependence in High-dimensional Quantum Computing by Jean-Gabriel Hartmann, Denis Janković, Rémi Pasquier, Mario Ruben, Paul-Antoine Hervieux

    Published 2025-04-01
    “…Our findings highlight the dependence of AGI on qudit dimensionality, quantum gate choice, and noise strength, providing critical insights for optimising quantum gate design and error correction protocols. Additionally, we utilise our framework to identify universal bounds for the AGI in the strong coupling regime and explore the practical implications for enhancing the performance of near-term qudit architectures. …”
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    Article
  9. 289

    Tropical cyclone track prediction harnessing deep learning algorithms: A comparative study on the Northern Indian Ocean by Sabbir Rahman, M. Fahim Faisal, Prianka Mondal, Md. Mahfuzur Rahman

    Published 2025-06-01
    “…Utilizing an extensive dataset of historical cyclone tracks and atmospheric parameters, we systematically compare these models across multiple performance metrics, including Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE). …”
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  10. 290

    Emmetropia deviation in autorefraction compared to subjective refraction result in patients after corneal refractive surgery by Yuexin Wang, Zesong Wang, Yu Zhang, Yifei Yuan, Yan Liu, Shuo Yu, Ziyuan Liu, Chen Yueguo

    Published 2025-08-01
    “…Abstract Background Automatic refraction is commonly applied as a substitute for subjective refraction to evaluate residue refractive error after corneal refractive surgery. Previous research pooled the data from patients of different subgroups to calculate the difference between automatic and subjective refraction, which lacks clinical implications. …”
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  11. 291

    TBESO-BP: an improved regression model for predicting subclinical mastitis by Kexin Han, Yongqiang Dai, Huan Liu, Junjie Hu, Leilei Liu, Zhihui Wang, Liping Wei

    Published 2025-04-01
    “…The primary objective is to discern models by exhibiting higher predictive accuracy and lower error values.ResultsThe evaluation of the TBESO-BP model in the test phase reveals a coefficient of determination R2 = 0.94, a Mean Absolute Error (MAE) of 2.07, and a Root Mean Square Error (RMSE) of 5.33. …”
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  12. 292

    The Olympic Competition of Thomas Digges: The measurement of parallax and the development of observational methods in astronomy by Enrico Massaro, Annarita Pizzo, Peter Usher

    Published 2024-10-01
    “…These concern the accuracy of astronomical measurements and a discussion on the origin of observational and computational errors. Furthermore, Digges introduced a simple but effective method for the falsification of observational results, which was useful for disproving some incorrect claims reported by other observers. …”
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  13. 293

    New data, new results? How data sources and vintages affect the replicability of research by Iasmin Goes

    Published 2023-04-01
    “…Second, researchers should be more modest about the precision and accuracy of their point estimates, since these estimates can mask large measurement errors.…”
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  14. 294

    Le musée de Sculpture comparée au prisme de la collection de cartes postales éditées par les frères Neurdein (1904-1915) by Dominique Jarrassé, Emmanuelle Polack

    Published 2014-04-01
    “…Using archival materials, the authors reconstitute the negotiations that gave rise to this collection and examine its implications: a new visual culture was being built, each card offering a specific point of view (general views, detailed or cut-out works, clever captions, as well as errors). …”
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  15. 295

    Qu’advient-il de la sémantique et de l’interaction dans les transcriptions automatiques d’un logiciel ? by Marine Kneubühler

    Published 2022-06-01
    “…This article addresses the implications of transcriptions for scientific knowledge by focusing on automatic transcription software called speech-to-text. …”
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  16. 296

    Combat Training for Horse and Rider in the Early Middle Ages by Jürg Gassmann

    Published 2018-07-01
    “…Source material is admittedly thin, yet it is specific enough to allow us to correct many of these misconceptions and outright errors. The article initially summarises the current state of knowledge on the war horse of the period, by reference to the archaeological record. …”
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  17. 297

    Leaders in disguise: power, perception, and paradox – economics and the fragile authority of politicians by Dumitru Alexandru BODISLAV, Raluca Iuliana GEORGESCU

    Published 2024-12-01
    “…DKE causes less competent politicians to exaggerate their abilities, frequently resulting in poor decision-making and policy errors, while Impostor Syndrome causes highly competent politicians to doubt their abilities, attributing their success to external factors. …”
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  18. 298

    Operational cost savings: Blockchain-driven back-office automation and syndicated loan growth in U.S. banks by Maksym Ivasenko, Serhiy Frolov, Mykhaylo Heyenko, Nataliia Kolodnenko, Viktoriia Datsenko

    Published 2025-07-01
    “…Diagnostic tests confirm the absence of sequential correlation and resistance to heteroscedasticity by White’s standard errors. System-wide process improvements were evaluated by examining Hyperledger Fabric’s permissioned channel blockchain, smart contract automation, and multi-signature approval policies, which together simplify Know Your Customer (KYC) document workflows and settlement processes. …”
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  19. 299

    On the measurement of microclimate by Ilya M. D. Maclean, James P. Duffy, Stef Haesen, Sanne Govaert, Pieter De Frenne, Thomas Vanneste, Jonathan Lenoir, Jonas J. Lembrechts, Marcus W. Rhodes, Koenraad Van Meerbeek

    Published 2021-08-01
    “…Most standard sensors yield large errors, which can reach 25°C due to radiative fluxes operating on the thermometer. …”
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  20. 300

    A Guideline for the Evolution of Quantitative Accounting Research in Iran: Shifting from Local to International Scientific Patterns by Fakhroddin MohammadRezaei

    Published 2025-03-01
    “…Attention is also given to measurement errors in the interest variables of the study. Control variables are categorized into “good” (correlated) and “bad” (colliders, homogeneous construct, high measurement error). …”
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