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Showing 1,521 - 1,540 results of 1,810 for search '((( resource OR resource) detection functions ) OR ( sources detection functions ))', query time: 0.31s Refine Results
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    Whole-genome sequencing and genomic analysis of four Akkermansia strains newly isolated from human feces by Wenjing Lu, Biqing Zha, Jie Lyu, Chenxi LingHu, Jing Chen, Sisi Deng, Xiangling Zhang, Liang Li, Guoqing Wang

    Published 2024-12-01
    “…Two annotated regions of secondary metabolite biosynthesis genes, both belonging to Terpene, were detected using the antiSMASH online tool.ConclusionThese findings indicate that the four Akkermansia isolates, which belong to a phylogroup distinct from the model strain DSM 22959, exhibit lower genetic risk and may serve as potential probiotic resources for future research.…”
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  3. 1523

    Assessing the impact of a rare synonymous variant in the <i>KNG1</i> gene on the development of hereditary angioedema by N. A. Pechnikova, Yu. V. Ostankova, M. A. Saitgalina, A. M. Bebyakov, A. A. Totolian

    Published 2024-01-01
    “…The material was a whole blood sample obtained from a woman with clinical manifestations of hereditary angioedema without a decrease in the levels and function of the C1 inhibitor. The research methods included whole exome sequencing, bioinformatic analysis of the KNG1 gene mutation using a number of databases and web resources. …”
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  4. 1524
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    Assessment of the capacity of health facilities in preventing and managing non-communicable diseases in selected regions of Somaliland by Opeolu O. Ojo, Omar O Hersi, Ayodele A Falobi, Nura Ali, Lawrence Tan, Yusuf A. Ali

    Published 2025-05-01
    “…Where available, they were either not functional or there is a lack of expertise for effective utilization. …”
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    Article
  7. 1527

    LIFE CYCLE ASSESSMENT IN HEALTHCARE SYSTEM OPTIMIZATION. INTRODUCTION by V. Sarancha, K. Vitale, S. Oreskovic, V. Sulyma

    Published 2015-03-01
    “…Various factors and parameters that may influence effectiveness of different sectors in healthcare system are detected. Performance optimization of detected parameters could lead to better system functioning, higher patient safety, economic sustainability and reduce resources consumption.…”
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    Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects by Muhammad Abdullah Hanif, Nandish Chattopadhyay, Bassem Ouni, Muhammad Shafique

    Published 2025-01-01
    “…Such attacks are usually referred to as Trojan or backdoor attacks and are very stealthy and hard to detect. In this paper, we highlight the complete attack surface that can be exploited to inject hidden malicious functionality (backdoors) in machine learning models. …”
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