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  • Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images

    Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images

    This paper develops an EBSDC-AIFFT model. This paper aims to create an enhanced brain stroke detection system for individuals with disabilities, utilizing biomedical images to improve diagnostic accuracy. To achieve this, the EBSDC-AIFFT model…

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  • Vaccination with Acinetobacter baumannii adhesin Abp2D provides protection against catheter-associated urinary tract infection

    Vaccination with Acinetobacter baumannii adhesin Abp2D provides protection against catheter-associated urinary tract infection

    Ethics statement

    All animal experimentation was conducted according to the National Institutes of Health guidelines for the housing and care of laboratory animals. All experiments were performed in accordance with institutional regulations after…

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  • A blockchain-based deep learning approach for student course recommendation and secure digital certification

    A blockchain-based deep learning approach for student course recommendation and secure digital certification

    The research majorly concentrates on developing the course recommendation as well as the certificate issuance system with the Deep certifier-DX509. The model works in four phases, where the highly authenticated certificate is issued to the user…

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  • A multivalent mRNA vaccine elicits robust immune responses and confers protection in a murine model of monkeypox virus infection

    A multivalent mRNA vaccine elicits robust immune responses and confers protection in a murine model of monkeypox virus infection

    MPXV mRNA vaccine design and fusion protein expression

    In this study, we developed potent MPXV trivalent mRNA vaccines that target the antigens of both the IMV and EEV forms and characterized their physicochemical properties. First, we generated…

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  • Tensor network analysis of the maple-leaf antiferromagnet spangolite

    Tensor network analysis of the maple-leaf antiferromagnet spangolite

    Heisenberg Hamiltonian

    We begin our study of spangolite by determining the parameters of the Heisenberg Hamiltonian

    $$H={\sum}_{i < j}{J}_{ij}{{{\bf{S}}}}_{i}\cdot {{{\bf{S}}}}_{j}$$

    (1)

    using the density…

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  • Non-variational quantum random access optimization with alternating operator ansatz

    Non-variational quantum random access optimization with alternating operator ansatz

    In this work, we focus on the MaxCut problem, which is commonly used to evaluate both QAOA and QRAO8,9,24,30. However, QAOA-for-QRAO is easily extendable to a broad range of CO problem. Before introducing QAOA-for-QRAO, we briefly explain MaxCut,…

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  • Glucocorticoids induce femoral head necrosis in rats through the HIF-1α/VEGF signaling pathway

    Glucocorticoids induce femoral head necrosis in rats through the HIF-1α/VEGF signaling pathway

  • Smolen, J. S. et al. EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2022 update. Ann. Rheum. Dis. 82 (1), 3–18 (2023).

    PubMed 

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  • Discovery and genesis mechanism of high content diamondoids in the Gulong shale oil

    Discovery and genesis mechanism of high content diamondoids in the Gulong shale oil

    Relationship between diamondoid content and thermal maturity

    A substantial amount of research has confirmed that the formation of diamondoids is closely related to the thermal maturation of organic matter. Fang et al.34 proposed that the evolution…

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