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  1. 128561

    Impact on Antijamming Performance of Channel Mismatch in GNSS Antenna Arrays Receivers by Zukun Lu, Junwei Nie, Feiqiang Chen, Gang Ou

    Published 2016-01-01
    “…We built the model of channel mismatch and derived the impact on transfer function with space-time adaptive processor (STAP) of channel mismatch in theory. The impact factor of channel mismatch is proposed by the fuzzy transfer function, which could directly reflect the antijamming performance under channel mismatch. …”
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  2. 128562
  3. 128563

    SRF2—A Short‐Term (1–24)h foF2 Prediction Method by L. Perrone, A. V. Mikhailov

    Published 2022-08-01
    “…A comparison with modern global empirical models demonstrates a statistically significant advantage over them under various seasons and levels of solar activity.…”
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  4. 128564

    LEISURE TIME PHYSICAL INACTIVITY AMONG BRAZILIAN RAGPICKERS by Marcelo Cozzensa da Silva, Anaclaudia Gastal Fassa, David Kriebel

    Published 2012-08-01
    “…Provide appropriate places to thepractice of physical activities and organized and attractive activities could be alternativesto minimize physical, mental and emotional disorders of these workers.…”
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  5. 128565

    Teaching and applying telepractice for hearing and balance disorders in Africa in the COVID-19 era and beyond by Katijah Khoza-Shangase

    Published 2025-01-01
    “…Saturation was reached when no new themes emerged during the review process. Results Six key themes emerged from the analysis: (1) accessibility and reach of telepractice; (2) technological infrastructure and digital literacy; (3) training and capacity building; (4) barriers in resource-limited settings; (5) facilitators for adoption of telepractice; and (6) sustainability and future of telepractice in Africa. …”
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  6. 128566
  7. 128567
  8. 128568

    Dynamical analysis and optimal control of an multi-age-structured vector-borne disease model with multiple transmission pathways by Huihui Liu, Yaping Wang, Linfei Nie

    Published 2024-12-01
    “…Finally, numerical simulations are used to explain the main theoretical results and discuss the impact of age-structured parameters and control strategies on the prevention and control of vector-borne infectious diseases.…”
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  9. 128569

    Solving of the problem of heating process of prismatic alloys and slugs in regime of contraflow by Ju. S. Postolnik, V. I. Timoshpolskij, O. A. Chernyj, D. N. Andrianov, V. L. Shcherbakov

    Published 2003-05-01
    “…For the first time in the theory of counterflow heat exchange there is solved the problem of heating of the two-dimensional prismatic slug at its heating by convention current. …”
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  10. 128570
  11. 128571

    Association between allergic rhinitis and chronic rhinosinusitis on multislice computed tomography scan paranasal sinuses by Abdillah Aisyah Puteri Abi, Firmansyah Rizky, Mulyani Dewi Ari, Prisila Elvina, Novariani Muriana, Kurniawan Nurcolid Umam, Abdullah Adnan

    Published 2024-01-01
    “…Rhinosinusitis is inflammation sinus mucosa, which is generally triggered by rhinitis, therefore it’s often called rhinosinusitis. Some predisposing factors include acute respiratory infection due to viruses, various rhinitis, especially allergic rhinitis. …”
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  12. 128572

    The Platelet-Specific Gene Signature in the Immunoglobulin G4-Related Disease Transcriptome by Ali Kemal Oguz, Cagdas Sahap Oygur, Bala Gur Dedeoglu, Irem Dogan Turacli, Sibel Serin Kilicoglu, Ihsan Ergun

    Published 2025-01-01
    “…If the platelets’ role is validated through further carefully designed research, the therapeutic potentials of selected conventional and/or novel antiplatelet agents remain to be evaluated in patients with IgG4-RD. …”
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  13. 128573

    美洲虎 by 孙芝祥

    Published 1983-01-01
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  14. 128574

    Biochemical Composition Variation among Southern Ethiopian Arabica Coffee (Coffea arabica L.) Genotypes by Meseret Degefa, Sentayehu Alamerew, Ali Mohammed, Adeba Gemechu

    Published 2022-01-01
    “…The study’s major goals are to determine the variability in green bean proximate composition among coffee genotypes and to see if there are any relationships between green bean proximate attributes. Therefore, a nutritional laboratory experiment was carried out at Jimma University College of Agriculture and Veterinary Medicine (JUCAVM). …”
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  15. 128575

    Investigating the causal model of criteria for improving the level of tourism in the historical contexts in the Tabriz city using the fuzzy dimtel technique by elham zare, akbar abdollahzadeh taraf

    Published 2024-06-01
    “…Today, attention to the tourism of historical contexts has been recognized as very important in order to promote socio-economic progress and to recognize the historical values ​​and cultural identity of each region. Therefore, this study was written with the aim of identifying the causal pattern of tourism promotion criteria in the historical context of Tabriz. …”
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  16. 128576
  17. 128577

    Functional analysis of conserved C. elegans bHLH family members uncovers lifespan control by a peptidergic hub neuron. by G Robert Aguilar, Berta Vidal, Hongzhu Ji, Joke Evenblij, Chien-Po Liao, Hongfei Ji, Giulio Valperga, Christopher Fang-Yen, Oliver Hobert

    Published 2025-01-01
    “…Our functional analysis reveals themes of bHLH gene function during terminal differentiation that are complementary to the earlier lineage specification roles of other bHLH family members. …”
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  18. 128578

    Latin America Region: Between Dependence and Autonomy in Regional Processes by Wendy Vaca Hernández

    Published 2017-01-01
    “…These successive cycles have manifested themselves both in the internal configurations and in the regional schemes that have been undertaken. …”
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  19. 128579

    Images et textes opératifs en design : énoncer, traduire les concepts, en et hors contexte by Éric Tortochot, Véronique Rey, Christina Romain

    Published 2022-07-01
    “…The failure of the order can therefore be explained by a lack of development of a shared representation (via design concepts) and thus illustrates the need for this uttered enunciative translation between the interlocutors.…”
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  20. 128580

    Adversarial patch defense algorithm based on PatchTracker by Zhenjie XIAO, Shiyu HUANG, Feng YE, Liqing HUANG, Tianqiang HUANG

    Published 2024-02-01
    “…The application of deep neural networks in target detection has been widely adopted in various fields.However, the introduction of adversarial patch attacks, which add local perturbations to images to mislead deep neural networks, poses a significant threat to target detection systems based on vision techniques.To tackle this issue, an adversarial patch defense algorithm based on PatchTracker was proposed, leveraging the semantic differences between adversarial patches and image backgrounds.This algorithm comprised an upstream patch detector and a downstream data enhancement module.The upstream patch detector employed a YOLOV5 (you only look once-v5) model with attention mechanism to determine the locations of adversarial patches, thereby improving the detection accuracy of small-scale adversarial patches.Subsequently, the detected regions were covered with appropriate pixel values to remove the adversarial patches.This module effectively reduced the impact of adversarial examples without relying on extensive training data.The downstream data enhancement module enhanced the robustness of the target detector by modifying the model training paradigm.Finally, the image with removed patches was input into the downstream YOLOV5 target detection model, which had been enhanced through data augmentation.Cross-validation was performed on the public TT100K traffic sign dataset.Experimental results demonstrated that the proposed algorithm effectively defended against various types of generic adversarial patch attacks when compared to situations without defense measures.The algorithm improves the mean average precision (mAP) by approximately 65% when detecting adversarial patch images, effectively reducing the false negative rate of small-scale adversarial patches.Moreover, compared to existing algorithms, this approach significantly enhances the accuracy of neural networks in detecting adversarial samples.Additionally, the method exhibited excellent compatibility as it does not require modification of the downstream model structure.…”
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