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  1. 81

    Integrating Deflection into Rule of Law and SDG Programming for UN Peace Operations by Nixon M. Camilien

    Published 2025-05-01
    “…EN | Abstract: This paper contends that deflection practices are relevant strategies to enhance Rule of Law and advance Sustainable Development Goals (SDGs) in United Nations (UN) peace operations. Deflection, which involves redirecting individuals from the criminal justice system to supportive services, addresses the root causes of criminal behavior, alleviates the burden on judicial and prison systems, and fosters community trust. …”
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  2. 82

    Tracing Missing Surgical Specimens: A Quality Improvement Strategy for Adverse Events Based on Root Cause Analysis by Huang LL, Yang JH, Hong WW, Wang BL, Chen HF

    Published 2025-06-01
    “…This case highlights the importance of analyzing localized workflow failures within broader systemic contexts to build resilient, patient-centered medical care systems.Keywords: rectal prostate specimens, medical errors, root cause analysis, patient safety, quality improvement…”
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  8. 88

    Hardware Acceleration of Division-Free Quadrature-Based Square Rooting Approach for Near-Lossless Compression of Hyperspectral Images by Amal Altamimi, Belgacem Ben Youssef

    Published 2025-02-01
    “…In this article, we present a novel FPGA-based hardware acceleration of a near-lossless compression technique for hyperspectral images by leveraging a division-free quadrature-based square rooting method. In this regard, the two division operations inherent in the original approach were replaced with pre-computed reciprocals, multiplications, and a geometric series expansion. …”
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    Automated Root Cause Analysis of Network Failures in IP/MPLS Network Using Machine Learning and Case-Based Reasoning by Tikumporn Wankvar, Apichon Witayangkurn

    Published 2025-01-01
    “…The proposed system features a dual-layered architecture comprising a Log Analysis Layer and an Operation and Maintenance Layer. …”
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  12. 92

    Identification of Risk Group for Root Caries and Analysis of Associated Factors in Older Adults Using Unsupervised Machine Learning Clustering by Jiang L, Huang S, Reissmann DR, Schmalz G, Li J

    Published 2025-04-01
    “…Binary logistic regression models further analyzed the associated factors, while ROC (receiver operating characteristic) curves and the random forest model visualized the predictive performance and the most important associated factors.Results: Two clusters were identified: cluster 1, with low root caries risk (21.5% with and 78.5% without root caries), and cluster 2, with high root caries risk (83.7% with and 16.3% without root caries). …”
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  13. 93

    A Nomogram Model Integrating Inflammation Markers for Predicting the Risk of Recurrent Sciatica After Selective Nerve Root Blocks by Cai M, Yin J, Jin Y, Liu H

    Published 2025-04-01
    “…Then, the performance and clinical practicality of the nomogram model were validated by performing the receiver operating characteristic curve (ROC) analysis, calibration curve analysis, and decision curve analysis (DCA). …”
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  14. 94

    Distributed hybrid consensus–based square-root cubature quadrature information filter and its application to maneuvering target tracking by Jun Liu, Yu Liu, Kai Dong, Ziran Ding, You He, Qichao Li

    Published 2019-12-01
    “…In addition, the proposed hybrid consensus–based square-root cubature quadrature information filter inherits the complementary positive features of both consensus on information and consensus on measurements methods and avoids sensitive matrix operations such as square-root decompositions and inversion of covariances, which is beneficial for numerical stability. …”
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  15. 95

    Developing a method for root-zone soil moisture monitoring at the field scale using remote sensing and simulation modeling by Hamideh Noory, Morteza Khoshsima, Atsushi Tsunekawa, Mitsuru Tsubo, Nigussie Haregeweyn, Salar Pashapour

    Published 2025-03-01
    “…The proposed method could improve the spatiotemporal resolution of surface and root-zone SM monitoring via simulation of daily root-zone SM at a spatial resolution of 10 m. …”
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  16. 96

    Apical root-end filling with tricalcium silicate-based cement in a patient with diabetes mellitus: A case report by Biočanin Vladimir, Milić Marija, Vučetić Milan, Baćević Miljana, Vasović Dina, Živadinović Milka, Ćetković Dejan, Ćalasan Dejan, Brković Božidar

    Published 2016-01-01
    “…Tricalcium silicate cement (TSC), as a new dental material, shows good sealing properties with dentin, high compression strengths and better marginal adaptation than commonly used root-end filling materials. Although optimal postoperative healing of periapical tissues is mainly influenced by characteristics of end-root material used, it could sometimes be affected by the influence of systemic diseases, such as diabetes mellitus (DM). …”
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  17. 97

    The preoperative flexion tear gap affects postoperative meniscus stability after pullout repair for medial meniscus posterior root tear by Masanori Tamura, Takayuki Furumatsu, Takahiro Kitayama, Yusuke Yokoyama, Yuki Okazaki, Koki Kawada, Toshifumi Ozaki

    Published 2025-04-01
    “…Meniscus stability (scored 0–4 points) was assessed using a semi-quantitative arthroscopic scoring system during second-look arthroscopy 1 year postoperatively. …”
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  18. 98

    CFD-Modeling of the Airfoil of the Blades of a Wind Power Plant with a Vertical Axis in the Ansys Fluent System by G. N. Uzakov, V. A. Sednin, A. B. Safarov, R. A. Mamedov, I. A. Khatamov

    Published 2024-04-01
    “…The article presents the results of research on modeling the DU-06-W-200 airfoil used in wind power plants with a vertical axis in the Ansys Fluent system, evaluating compatibility with experimental data and determining the optimal angle of attack. …”
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    Neural Topic Generation Utilizing Attention Mechanisms With Transformer‐Based Embeddings for Root‐Cause Analysis of Manufacturing Defects in Electronic Products by Vutivi Mabasa, Uche A. K. Chude‐Okonkwo, Babu S. Paul

    Published 2025-05-01
    “…ABSTRACT Root‐cause analysis (RCA) is a critical process for identifying and mitigating manufacturing defects, particularly in the electronics industry, where minor issues can lead to significant operational and financial consequences. …”
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