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  1. 521

    Evaluation of the retinal morphological and functional findings in optic neuritis related to multiple sclerosis by Katanić-Pasovski Katarina, Rančić Nemanja, Pasovski Viktor, Sajić Marija, Resan Mirko, Dinčić Evica

    Published 2023-01-01
    “…The aim of the study was to determine the diagnostic and prognostic value of structural and functional examination using novel ‘swept-source’ optical coherence tomography (SS-OCT) and OCT angiography (OCTA) techniques in patients with MS who experienced RBN. …”
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  2. 522
  3. 523

    Preparation and application of a new ion-imprinted polymer for nanomolar detection of mercury(II) in environmental waters by Ebrahim Shamsabadi, Hashem Akhlaghi, Mehdi Baghayeri, Alireza Motavalizadehkakhky

    Published 2024-10-01
    “…Abstract This study introduces a novel ion-imprinted polymer for the ultrasensitive detection of mercury(II) in water. The ion-imprinted polymer was synthesized via a simple bulk polymerization process using methacrylic acid as the functional monomer, ethylene glycol dimethacrylate as the cross-linker, morpholine-4-carbodithioic acid phenyl ester as the chelating agent, and ammonium persulfate as the initiator. …”
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  4. 524

    The Advanced Role of Carbon Quantum Dots in Nano-Food Science: Applications, Bibliographic Analysis, Safety Concerns, and Perspectives by Abdul Majid, Khurshid Ahmad, Liju Tan, Waqas Niaz, Wang Na, Li Huiru, Jiangtao Wang

    Published 2024-12-01
    “…This article discussed the sources, fabrication methods, advantages, and limitations of CQDs as a sensing for the detection of food contaminants. …”
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  5. 525

    An Ultrathin Optoelectronic Memristor with Dual‐Functional Photodetector and Optical Synapse Behaviors for Neuromorphic Vision by Lilan Zou, Junru An, Haonan Xu, Guizhen Wang, Shiwei Lin

    Published 2025-08-01
    “…Abstract Integrating multiple functions within a neuromorphic device is essential for simplifying circuit design in compact artificial vision applications. …”
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    Article
  6. 526

    Enhanced Intrusion Detection in In-Vehicle Networks Using Advanced Feature Fusion and Stacking-Enriched Learning by Ali Altalbe

    Published 2024-01-01
    “…To address this problem, machine learning (ML) based intrusion detection systems (IDSs) have been proposed. However, existing IDSs suffer from low detection accuracy, limited real-time response, and high resource requirements. …”
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  7. 527
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  9. 529

    Dual Function Radar and Communication Waveform Design Based on Sub-pulse Hybrid Modulation by Yu LIU, Junhao ZHANG, Xue YAO, Xianxiang YU, Guolong CUI

    Published 2025-08-01
    “…To address the low data rate issue in the design of Dual-Function Radar-Communication (DFRC) waveforms with radar detection as the primary function, this paper proposes an information modulation method for multiple sub-pulse structure waveforms called Sub-pulse Hybrid Modulation (SHM). …”
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  10. 530

    Translating 'filth and trash': German translations of Agatha Christie's detective novels between 1927 and 1939 by Marjolijn Storm

    Published 2014-07-01
    “…This article explores the background of the translations of Christie's novels, which can be found, on the one hand, in the tensions caused by the peripheral position of detective fiction in the polysystem (considered "filth and trash" by conservative forces), and, on the other, in the enormous success of the genre. …”
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  11. 531
  12. 532

    The Artificial Intelligence-Enhanced Echocardiographic Detection of Congenital Heart Defects in the Fetus: A Mini-Review by Khadiza Tun Suha, Hugh Lubenow, Stefania Soria-Zurita, Marcus Haw, Joseph Vettukattil, Jingfeng Jiang

    Published 2025-03-01
    “…We envision that, through the combination of tele-echocardiography and AI, low-resource medical facilities may gain access to the effective detection of CHD at the prenatal stage.…”
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  13. 533

    DESIGN OF DETECTION DEVICE FOR CU CONTAMINATED WATER USING RED DIODA LASER AND PHOTODIODA SENSOR by Frida Agung Rakhmadi, Siti Rofikhoh

    Published 2018-01-01
    “…Meanwhile, the success rate of detection system implementation on Cu contaminated water was 97,5 %.…”
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  14. 534

    A Heterogeneity-Aware Semi-Decentralized Model for a Lightweight Intrusion Detection System for IoT Networks Based on Federated Learning and BiLSTM by Shuroog Alsaleh, Mohamed El Bachir Menai, Saad Al-Ahmadi

    Published 2025-02-01
    “…Most IoT devices have limited resource capabilities (e.g., memory capacity, processing power, and energy consumption) to function as conventional intrusion detection systems (IDSs). …”
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  15. 535
  16. 536

    Simultaneous Model Change Detection in Multivariate Linear Regression With Application to Indonesian Economic Growth Data by Wayan Somayasa, Muhammad Kabil Djafar, Norma Muhtar, Desak Ketut Sutiari

    Published 2024-01-01
    “…In this paper, we study asymptotic model change detection in multivariate linear regression by using the Kolmogorov–Smirnov function of the partial sum process of recursive residuals. …”
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  17. 537

    Energy-Efficiency using Critical Nodes Detection Problem in Industrial Wireless Sensor Networks (IWSNs) by Karima MOULEY, Mohamed Amin TAHRAOUI, Abdelaziz KELLA

    Published 2025-03-01
    “…Experiments simulation validates our proposed approach, approving its efficiency in reducing significant energy consumption while preserving connectivity and functionality for industrial systems. Furthermore, the results highlight the potential of using critical node analysis to support sustainable and efficient operations in resource-constrained industrial environments. …”
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  18. 538

    Enhancing Fault Detection in AUV-Integrated Navigation Systems: Analytical Models and Deep Learning Methods by Huibao Yang, Bangshuai Li, Xiujing Gao, Bo Xiao, Hongwu Huang

    Published 2025-06-01
    “…In complex underwater environments, the stability of navigation for autonomous underwater vehicles (AUVs) is critical for mission success. To enhance the reliability of the AUV-integrated navigation system, fault detection technology was investigated. …”
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  19. 539

    Machine learning-based model for acute asthma exacerbation detection using routine blood parameters by Youpeng Chen, Junquan Sun, Yabang Chen, Enzhong Li, Jiancai Lu, Huanhua Tang, Yifei Xie, Jiana Zhang, Lesi Peng, Haojie Wu, Zhangkai J. Cheng, Baoqing Sun

    Published 2025-07-01
    “…Background: Acute asthma exacerbations (AAEs) are a leading cause of asthma-related morbidity and mortality, especially in resource-limited settings where pulmonary function tests are unavailable or when patients are unable to cooperate with testing. …”
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  20. 540

    YOLO11m-SCFPose: An Improved Detection Framework for Keypoint Extraction in Cucumber Fruit Phenotyping by Huijiao Yu, Xuehui Zhang, Jun Yan, Xianyong Meng

    Published 2025-07-01
    “…The Focaler-IoU loss function is employed to improve keypoint localization accuracy. …”
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