Search alternatives:
resource » source (Expand Search)
Showing 1,661 - 1,680 results of 1,810 for search '((( resource OR sources) detection functions ) OR ( sources detection function ))', query time: 0.33s Refine Results
  1. 1661

    Repair of aircraft engine parts made of heat-resistant nickel alloys using additive plasma technologies by Konstantin Balushok, Sergey Chigileychik

    Published 2024-10-01
    “…No wear of the labyrinth ridges or cracks was detected. The functionality of the restored disk has been confirmed. …”
    Get full text
    Article
  2. 1662

    Dietary supplementation with L-carnitine elevates intracellular carnitine levels and affects gene expression of SLC25A20 and COX4I1, as well as non-mitochondrial respiration of bov... by Leonie Seemann, Susanne Kersten, Susanne Bühler, Fabian Billenkamp, Ulrich Meyer, Christian Visscher, Korinna Huber, Erika Most, Klaus Eder, Sven Dänicke, Jana Frahm

    Published 2025-07-01
    “…Fatty acids, among other substrates, are utilized by immune cells as an energy source. Therefore, L-carnitine, which is authorized as a feed additive in cattle, may influence the metabolism of peripheral blood mononuclear cells (PBMC) during an immune challenge. …”
    Get full text
    Article
  3. 1663

    Klebsiella pneumoniae under xylose pressure: the growth adaptation, antimicrobial susceptibility, global proteomics analysis and role of XylA and XylB proteins by Ruolan Yi, Jiaoyang Zheng, Zhichao Xu, Jiayan Wu, Fangfang Liu, Jinxin Zheng, Duoyun Li, Shiqing Han, Zhijian Yu

    Published 2025-04-01
    “…Additionally, while the growth adaptation of K2044−8Xyl−60G under xylose pressure was confirmed, no amino acid mutations were detected in the functional proteins of this xylose-induced isolate, suggesting that persistent xylose pressure does not cause nonsense mutations in the bacterial genome. …”
    Get full text
    Article
  4. 1664

    Pulmonary complications in children and adolescents after allogeneic hematopoietic stem cell transplantation by A. S. Frolova, A. G. Volkova, O. V. Paina, P. V. Kozhokar, K. A. Ekushov, Zh. Z. Rakhmanova, L. A. Cvetkova, E. D. Dobrovolskaya, B. I. Smirnov, E. A. Kulagin, T. A. Bykova, E. V. Semenova, L. S. Zubarovskaya

    Published 2022-11-01
    “…However to date, the effect of HSCT on functional and morphological pulmonary changes in recipients remains insufficiently studied.The objective of current study was to evaluate risk factors affecting long-term survival in children and adolescents after allo-HSCT.Methods and materials. …”
    Get full text
    Article
  5. 1665

    The amino acid composition of Polygonum hydropiper L. and Polygonum persicaria L. herbs of Ukrainian flora by I. A. Lukina, O. V. Mazulin, H. P. Smoilovska, H. V. Mazulin, I. N. Shevchenko

    Published 2015-04-01
    “…Plant amino acids play an important role in the functioning of various systems and organs of the human body and are characterized by distinct pharmacological properties, as well as contribute to more rapid absorption and potentiate the effect of other biologically active compounds present in plants. …”
    Get full text
    Article
  6. 1666

    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.…”
    Get full text
    Article
  7. 1667

    Proteomic analysis of plasma unravels dynamic pathways and potential biomarkers indicating disease stages following Mtb infection by Zonglei Zhou, Jie Tian, Yuying He, Haiyan Xiong, Weibing Wang

    Published 2025-08-01
    “…ABSTRACT Tuberculosis (TB) stages depend greatly on the interaction between Mycobacterium tuberculosis (Mtb) and the host response. As a non-negligible source of active tuberculosis (ATB), individuals with latent Mtb infection (LTBI) are insidious and hard to be detected due to limited biomarkers. …”
    Get full text
    Article
  8. 1668
  9. 1669
  10. 1670
  11. 1671
  12. 1672
  13. 1673

    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. …”
    Get full text
    Article
  14. 1674
  15. 1675
  16. 1676

    Non-invasive biopsy diagnosis of diabetic kidney disease via deep learning applied to retinal images: a population-based study by Ziyao Meng, MEng, Zhouyu Guan, MD, Shujie Yu, MBBS, Yilan Wu, BSc, Yaoning Zhao, BSc, Jie Shen, PhD, Cynthia Ciwei Lim, MMed, Tingli Chen, MD, Dawei Yang, PhD, An Ran Ran, PhD, Feng He, MSc, Haslina Hamzah, BSc, Sarkaaj Singh, MSc, Anis Syazwani Abd Raof, MSc, Jian Wen Samuel Lee-Boey, MBBS, ProfMBBS Soo-Kun Lim, MBBS, ProfMD Xufang Sun, MBBS, Shuwang Ge, MD, ProfMD Gang Xu, MD, Prof Hua Su, MD, Yang Cheng, MD, Feng Lu, PhD, ProfPhD Xiaofei Liao, PhD, ProfPhD Hai Jin, PhD, Chenxin Deng, MMed, Lei Ruan, MD, ProfMD Cuntai Zhang, MD, Chan Wu, MD, ProfMD Rongping Dai, MD, Yixiao Jin, MSc, Wenxiao Wang, PhD, Tingyao Li, BSc, Ruhan Liu, PhD, Jiajia Li, PhD, Jia Shu, BEng, Yuwei Lu, MBBS, Xiangning Wang, MD, Qiang Wu, MD, Yiming Qin, BEng, Jin Tang, MD, Xiaohua Sheng, MD, Qiong Jiao, MD, ProfPhD Xiaokang Yang, MD, ProfPhD Minyi Guo, MD, Gareth J McKay, PhD, ProfPhD Ruth E Hogg, PhD, Gerald Liew, MBBS, Evelyn Yi Lyn Chee, PhD, ProfPhD Wynne Hsu, PhD, ProfPhD Mong Li Lee, PhD, Simon Szeto, MBChB, ProfMD Andrea O Y Luk, MBChB, ProfMD Juliana C N Chan, MBChB, Carol Y Cheung, PhD, Gavin Siew Wei Tan, FRCSEd, Yih-Chung Tham, PhD, ProfMD PhD Ching-Yu Cheng, PhD, Charumathi Sabanayagam, MD PhD, ProfPhD Lee-Ling Lim, MD PhD, ProfMD PhD Weiping Jia, MD PhD, ProfMD PhD Huating Li, MD PhD, Bin Sheng, Prof, Tien Yin Wong, Prof

    Published 2025-05-01
    Get full text
    Article
  17. 1677

    EZSCAN for undiagnosed type 2 diabetes mellitus: A systematic review and meta-analysis. by Antonio Bernabe-Ortiz, Andrea Ruiz-Alejos, J Jaime Miranda, Rohini Mathur, Pablo Perel, Liam Smeeth

    Published 2017-01-01
    “…<h4>Objectives</h4>The EZSCAN is a non-invasive device that, by evaluating sweat gland function, may detect subjects with type 2 diabetes mellitus (T2DM). …”
    Get full text
    Article
  18. 1678
  19. 1679
  20. 1680