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  1. 41

    Applying Quran Security and Hamming CodesFor Preventing of Text Modification by Baghdad Science Journal

    Published 2011-06-01
    “…So, the next step uses one of the error detection methods which is named Hamming Codes to find out the locations of the change in the received text. …”
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  2. 42

    Risk Factors for Wrong-Site Surgery: A Study of 1,166 Reports of Informed Consent and Schedule Errors by Matthew A. Taylor, Robert A. Yonash

    Published 2024-07-01
    “…The findings by error subtype (side, procedure, site, patient) show some similarity in distribution with previous studies of wrong-site surgery events. …”
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  3. 43
  4. 44

    Effect of cycloplegia on the refractive status of children by Ehab Tharwat, Mohamed Hassanein, Ezzeldin R. Ezzeldin, Haitham B. Soliman, Basheer Eltantawy, Akram F. Elgazzar, Walid S. Abdella, Amr M.E. Abdelkader

    Published 2024-10-01
    “…Aim: This study aims to detect the effect of cycloplegia on the measurement of refractive errors in children. …”
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  5. 45

    The effect of pending feedback on the IELTS speaking test result: grammatical range and accuracy in focus by Zahra Zargaran

    Published 2025-05-01
    “…The experimental group received pending feedback, while the control group received other types of feedback methods preferred by the teacher but not pending feedback. To find any possible significant difference in group’s performance, and to detect the relation between pending feedback frequency of occurrence and the increased speaking scores in the experimental group, an Independent Sample T-tests and R-Square correlation were conducted on two groups of participants. …”
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  6. 46

    Deep Learning-Based Object Detection Strategies for Disease Detection and Localization in Chest X-Ray Images by Yi-Ching Cheng, Yi-Chieh Hung, Guan-Hua Huang, Tai-Been Chen, Nan-Han Lu, Kuo-Ying Liu, Kuo-Hsuan Lin

    Published 2024-11-01
    “…However, traditional manual interpretation is often subjective, time-consuming, and prone to errors, leading to inconsistent detection accuracy and poor generalization. …”
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  7. 47
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  9. 49

    PatchDetect: Breast Cancer Detection combining Unet-ResNet-50 and Patch Embedding LSTM by Hadj Ahmed Bouarara, kadda benyahia

    Published 2025-05-01
    “…The model's performance was optimized using various hyperparameters, achieving an accuracy of 94%, recall of 93%, precision of 92%, and F-measure of 92% while maintaining a minimal error rate of 6%. The findings emphasize the importance of integrating pre-trained CNNs with sequential analysis via LSTMs for feature-rich and temporal data like mammographic patches. …”
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  10. 50

    Examiner experience moderates reliability of human lower extremity muscle ultrasound measurement – a double blinded measurement error study by Konstantin Warneke, Stanislav D. Siegel, Jonas Drabow, Lars H. Lohmann, Daniel Jochum, Sandro R. Freitas, José Afonso, Andreas Konrad

    Published 2025-03-01
    “…Relative and absolute reliability were analyzed using intraclass correlation coefficients (ICCs), standard error of measurement, minimal detectable change, mean absolute error (MAE), mean absolute percentage error (MAPE) and Bland-Altman analyses. …”
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  11. 51

    On Risk Assessment for Out-of-Distribution Detection by Anton Vasiliuk

    Published 2025-01-01
    “…Finally, an analysis of popular computer vision benchmarks reveals that ID errors often dominate overall risk, highlighting the importance of strong ID performance as a foundation for effective OOD detection. …”
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  12. 52

    The Issue of Evidentiary Value in Integrated Forensic Investigations by D. A. Kudryashov

    Published 2016-09-01
    “…The paper looks at integrated forensic inquiry as a source of evidence in crime detection and investigation. This includes various aspects of assessing the findings of integrated forensic investigation in terms of evidence quality by the party bearing the burden of proof. …”
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  13. 53
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    Comparison of thoracic computed tomography and surgical reports in dogs and cats by Maja Brložnik, Martin Immler, Maria Laura Prüllage, Olivia Mariel Grünzweil, Manolis Lyrakis, Eberhard Ludewig, Sibylle Maria Kneissl

    Published 2025-07-01
    “…The categories of pathology with the highest number of cases (lung mass (n = 19) and pleural effusion (n = 27)) showed only complete agreement between primary imaging and surgical findings. Differences in agreement were associated with perception (n = 4), cognitive error (n = 2) and discrepancy (n = 1).ConclusionSmall and camouflaged pathologies, such as low-contrast foreign bodies and ruptured bullae in the atelectatic lung, were most frequently missed or wrongly interpreted in CT reports.…”
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  15. 55

    Ocular findings in children, adolescents and young adults with type 1 diabetes mellitus in ghana: a cross-sectional study by Serwah Bonsu Asafo-Agyei, Emmanuel Ameyaw, Amos Aikins

    Published 2025-07-01
    “…The visual acuity of participants with established refractive errors was evaluated after refractive correction. …”
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  16. 56

    Allometric Equations for Aboveground Biomass Estimation in Natural Forest Trees: Generalized or Species-Specific? by Yuxin Shang, Yutong Xia, Xiaodie Ran, Xiao Zheng, Hui Ding, Yanming Fang

    Published 2025-07-01
    “…This study establishes an integrated framework combining the following: (1) phylogenetic signal detection (Blomberg’s K/Pagel’s λ) across 157 species’ allometric equations, revealing weak but significant evolutionary constraints (λ = 0.1249, <i>p</i> = 0.0027; K ≈ 0, <i>p</i> = 0.621); (2) hierarchical error decomposition of 9105 stems in a Mt. …”
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  17. 57

    Empirical Evaluation of the Relative Range for Detecting Outliers by Dania Dallah, Hana Sulieman, Ayman Al Zaatreh, Firuz Kamalov

    Published 2025-07-01
    “…Outlier detection plays a key role in data analysis by improving data quality, uncovering data entry errors, and spotting unusual patterns, such as fraudulent activities. …”
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  18. 58
  19. 59

    Comparison of Two Machine Learning Models for Predicting Volumetric Errors From On-The-Fly R-Test Type Device Data and Virtual End Point Constraints by Min Zeng, J. R. R. Mayer, Miao Feng, Elie Bitar-Nehme, Xuan Truong Duong

    Published 2025-05-01
    “…More than one ball can be so measured and a fixed length ball bar is also measured for detecting isotropic scaling effects. Initial processing of data using the SAMBA (scale and master ball artefact) method eliminates setup errors and provides estimates of inter- and intra-axis errors as well as volumetric errors vectors. …”
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  20. 60

    ABSENCE OF FOVEAL DEPRESSION AND ITS ASSOCIATION WITH REFRACTIVE STATUS AND STRABISMUS IN CHILDREN WITH HISTORY OF RETINOPATHY OF PREMATURITY by Nihan Aksu Ceylan, Merve Bahar, Kemal Turgay Özbilen, Zafer Cebeci, Mehmet Eren Güner, Nur Kır

    Published 2023-08-01
    “…Objective: To evaluate the foveal depression (FD) status on optical coherence tomography (OCT) and its relationship with strabismus, amblyopia and refractive errors in children with a history of retinopathy of prematurity (ROP).Material and Method: Medical records were reviewed for demographic data, ocular and medical history, systemic disorders, ophthalmologic and OCT findings. …”
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