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  1. 66301
  2. 66302

    Adaptive Extraction of Oil Painting Texture Features Based on Reaction Diffusion Equation by Qicai Huang

    Published 2021-01-01
    “…The description and extraction of oil painting information and the classification method of oil paintings are two important processes in content-based oil painting retrieval. …”
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  3. 66303
  4. 66304

    “I think people have been in survival mode”: a qualitative study of community connectivity in a neighbourhood of North East England before and during COVID-19 by Mandy Cheetham, Alice Wiseman, Stephen Ward, Sarah Gorman, Fiona Pollard

    Published 2022-07-01
    “…The strength of stakeholders’ connections to the area and to people living there contributed to laying the foundations for local responses to the COVID-19 pandemic. Relational, values-informed work with communities provided a platform to mobilise recovery assets.Conclusions Whole-system approaches, codesigned with communities most affected, can help address the long-term consequences of COVID-19 and its negative effects on health and social inequalities. …”
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  5. 66305

    Preferences substantiation for non-destructive diagnostic methods selecting pores diffusion coefficient in block products by V. P. Belyaev, M. P. Belyaev, L. G. Varepo, P. S. Belyaev, V. V. Pavlinov

    Published 2020-09-01
    “…The metrological analysis of non-destructive methods determined the diffusion coefficient in block products formed from porous materials is considered. The methods are based on both various types of pulsed effects on the products flat surface and their reaction monitoring in terms of electromotive force changes of an electrochemical converter. …”
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  6. 66306

    Estimating the Genetic Diversity of Oranges Citrus spp. in South Sulawesi, Indonesia, Using RAPD Markers by Mustika Tuwo, Tutik Kuswinanti, Andi Nasruddin, Elis Tambaru

    Published 2023-01-01
    “…Despite the advancements in DNA-based molecular marker techniques for assessing genetic diversity, information on orange diversity in South Sulawesi is currently unavailable and under-researched. …”
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  7. 66307

    Chemical Constituents of the Bark of Zanthoxylum gilletii (Rutaceae) and Their In Vitro Antiplasmodial and Molecular Docking Studies by Liliane Clotilde Dzouemo, Gervais Mouthé Happi, Sikiru Akinyeye Ahmed, Willifred Dongmo Tekapi Tsopgni, Michael Nde Akuma, Shina Salau, Emmanuel Ngeufa Happi, Jean Duplex Wansi

    Published 2022-01-01
    “…The present study provides further information to enrich the chemistry of Z. gilletii and its qualification as an important source for good candidates in new antiplasmodial drug development.…”
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  8. 66308

    The emergence and development of deconstruction in costume design by Yu. L. Gerasimova, N. O. Sosnina, O. Yu. Buleva, M. R. Timofeeva

    Published 2019-02-01
    “…Their formative and style-forming role is being reflected in the text. Particular attention is paid to an evolution of deconstruction as a creative method in costume design, its relevance in modern fashion…”
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  9. 66309

    Immediate-Early Genes and Delayed Primary Response Genes Regulated by NmU in SKBR3 HER-2 Positive Breast Cancer Cell Line by Jessica Murphy, Sweta Rani

    Published 2019-09-01
    “…AimThe aim of this study was to investigate the effects of NmU on the regulation of immediate early and delayed primary response genes in HER2-positive SKBR3 breast cancer cells using RT-qPCR gene expression analysis. This information was then used to uncover related pathways that may be involved in the progression of this aggressive cancer due to NmU. …”
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  11. 66311

    Cultivating Leadership Attributes In Undergraduate Medical Education: A Mixed Method Study by Hareem Fatima, Muhammad Nasir Ayub Khan, Mahwish Niaz, Mahrukh Durrani, Shazia Irum, Muneeza Aamir Sami

    Published 2025-01-01
    “…However, data analysis of students’ comments to open-ended questions provided information that leadership skills are necessary for successful medical practice and can be learnt with proper guidance given on time. …”
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  12. 66312

    Personalized lightweight distributed network intrusion detection system in fog computing by Tianpeng YE, Xiang LIN, Jianhua LI, Xuankai ZHANG, Liwen XU

    Published 2023-06-01
    “…With the continuous development of Internet of Things (IoT) technology, there is a constant emergency of new IoT applications with low latency, high dynamics, and large bandwidth requirements.This has led to the widespread aggregation of massive devices and information at the network edge, promoting the emergence and deep development of fog computing architecture.However, with the widespread and in-depth application of fog computing architecture, the distributed network security architecture deployed to ensure its security is facing critical challenges brought by fog computing itself, such as the limitations of fog computing node computing and network communication resources, and the high dynamics of fog computing applications, which limit the edge deployment of complex network intrusion detection algorithms.To effectively solve the above problems, a personalized lightweight distributed network intrusion detection system (PLD-NIDS) was proposed based on the fog computing architecture.A large-scale complex network flow intrusion detection model was trained based on the convolutional neural network architecture, and furthermore the network traffic type distribution of each fog computing node was collected.The personalized model distillation algorithm and the weighted first-order Taylor approximation pruning algorithm were proposed to quickly compress the complex model, breaking through the limitation of traditional model compression algorithms that can only provide single compressed models for edge node deployment due to the high compression calculation overhead when facing a large number of personalized nodes.According to experimental results, the proposed PLD-NIDS architecture can achieve fast personalized compression of edge intrusion detection models.Compared with traditional model pruning algorithms, the proposed architecture achieves a good balance between computational loss and model accuracy.In terms of model accuracy, the proposed weighted first-order Taylor approximation pruning algorithm can achieve about 4% model compression ratio improvement under the same 0.2% model accuracy loss condition compared with the traditional first-order Taylor approximation pruning algorithm.…”
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  13. 66313

    Automatic Recognition Method of Letter Images in English Self-Learning Based on Partial Differential Equation Method by Yu Zhao, Shuping Du, Ran Li, Hong Yue

    Published 2021-01-01
    “…The research of the English self-help learning system based on partial differential equation method comes into being with information network technology as the foundation for survival and development. …”
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  14. 66314

    Conceptualizing a model for the use of software as a service to improve the dynamic capabilities of small and medium enterprises in healthcare sector by P. Makelana, R. Kekwaletswe, M. A. Segooa

    Published 2024-06-01
    “…Results: The study results show that customer service (β=0.125, p<0.05), sharing information (β=0.132, p<0.05), internet access (β=0.057, p<0.05), data security (β=0.022, p<0.05), top management support (β=0.427, p<0.05), competitive pressure (β=0.178, p<0.05), viability (β=0.325, p<0.05) and task-technology fit (β=0.032, p<0.05) are highly significant on the use of SaaS to improve the DCs of healthcare SMEs. …”
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    Deep Reinforcement Learning-Based Task Partitioning Ratio Decision Mechanism in High-Speed Rail Environments with Mobile Edge Computing Server by Seolwon Koo, Yujin Lim

    Published 2025-01-01
    “…The proposed method dynamically adjusts task partitioning ratios by leveraging real-time information about task characteristics and server load conditions. …”
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  19. 66319

    Digital sociology and new opportunities for social and educational rehabilitation of disabled people by S. V. Kibakin, Y. A. Malakhova

    Published 2020-07-01
    “…Separately, the role and place of joint forms of scientific activity of disabled people, teachers and students in the performance of state tasks have been shown. …”
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