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  1. 41

    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
    “…On-the-fly virtual end-point constraints consists in moving all five axes of the machine tool while nominally maintaining the coincidence of a sensing head centre point with a master ball centre attached to the workpiece table. The sensing head detects the deviations from the nominal coincidence as a 3D volumetric error vector. …”
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    A Small-Scale Evaluation of Large Language Models Used for Grammatical Error Correction in a German Children’s Literature Corpus: A Comparative Study by Phuong Thao Nguyen, Bernd Nuss, Roswita Dressler, Katie Ovens

    Published 2025-02-01
    “…Llama-3.1-70B excels in error detection but occasionally relies on frequency-based substitutions over meaning-driven corrections. …”
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    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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  6. 46

    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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  7. 47

    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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  8. 48

    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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  9. 49

    Real-Time Mobile Robot Obstacles Detection and Avoidance Through EEG Signals by Karameldeen Omer, Francesco Ferracuti, Alessandro Freddi, Sabrina Iarlori, Francesco Vella, Andrea Monteriù

    Published 2025-03-01
    “…In the passive approach, error-related potentials (ErrPs), neural signals triggered when users comment or perceive errors, enable automatic correction of the robot navigation mistakes without direct input or command from the user. …”
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  10. 50

    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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    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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  13. 53

    Awareness of Common Ocular Conditions Among Trinidad Population: A Cross‐Sectional Pilot Study by Ngozika E. Ezinne, Akera Pope, Moesha Tyson

    Published 2025-03-01
    “…ABSTRACT Background and Aims Cataracts, glaucoma, diabetic retinopathy (DR), uncorrected refractive error (URE), and corneal anomalies are some of the leading causes of blindness and visual impairment (VI). …”
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  14. 54

    Lost in Translation? A Critical Review of Economics Research Using Nighttime Lights Data by John Gibson, Omoniyi Alimi, Geua Boe-Gibson

    Published 2025-03-01
    “…In the three decades since a digital archive of satellite-detected night-time lights (NTL) data was created, thousands of scholarly articles have been published using these data. …”
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    The multifaceted role of the inferior colliculus in sensory prediction, reward processing, and decision-making by Xinyu Du, Haoxuan Xu, Peirun Song, Yuying Zhai, Hangting Ye, Xuehui Bao, Qianyue Huang, Hisashi Tanigawa, Zhiyi Tu, Pei Chen, Xuan Zhao, Josef P Rauschecker, Xiongjie Yu

    Published 2025-01-01
    “…Moreover, our findings demonstrate reward prediction errors within the IC, highlighting its complex integration in auditory and reward processing. …”
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    Economic Clues to Crime: Insights from Mongolia by Dagvasuren Ganbold, Enkhbayar Jamsranjav, Young-Rae Kim, Erdenechuluun Jargalsaikhan

    Published 2025-06-01
    “…The empirical findings reveal that detection rates exert a statistically significant deterrent effect on robbery in the short term, while incarceration rates are effective in reducing theft. …”
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  20. 60

    L0-regularized high-dimensional sparse multiplicative models by Hao Ming, Hu Yang, Xiaochao Xia

    Published 2025-01-01
    “…In this paper, we study high-dimensional sparse multiplicative models for positive response data and propose a variable sorted active set (VSAS) algorithm for finding the [Formula: see text] regularized least product relative error (LPRE) estimator. …”
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