Showing 1 - 20 results of 618 for search 'AMR evaluation', query time: 0.10s Refine Results
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    DualBranch-AMR: A Semi-Supervised AMR Method Based on Dual-Student Consistency Regularization with Dynamic Stability Evaluation by Jiankun Ma, Zhenxi Zhang, Linrun Zhang, Yu Li, Haoyue Tan, Xiaoran Shi, Feng Zhou

    Published 2025-07-01
    “…Finally, based on the dual-student semi-supervised framework and pseudo-label stability evaluation, we propose a stability-guided consistency regularization constraint method and conduct semi-supervised AMR model training. …”
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    Real-Time Localization for an AMR Based on RTAB-MAP by Chih-Jer Lin, Chao-Chung Peng, Si-Ying Lu

    Published 2025-02-01
    “…This study aimed to develop a real-time localization system for an AMR (autonomous mobile robot), which utilizes the Robot Operating System (ROS) Noetic version in the Ubuntu 20.04 operating system. …”
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    Global variation in antibiotic prescribing guidelines and the implications for decreasing AMR in the future by Emmama Jamil, Emmama Jamil, Zikria Saleem, Brian Godman, Brian Godman, Brian Godman, Matti Ullah, Afreenish Amir, Abdul Haseeb, Johanna C. Meyer, Johanna C. Meyer, Muhammad Usman Qamar, Safa S. Almarzoky Abuhussain

    Published 2025-08-01
    “…IntroductionAntimicrobial resistance (AMR) has become a global burden, with inappropriate antibiotic prescribing being an important contributing factor. …”
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    A Magnetic Tracking System Featuring Calibrated Three-Axis AMR Sensors by Thomas Quirin, Corentin Féry, Céline Vergne, Morgan Madec, Luc Hébrard, Joris Pascal

    Published 2024-03-01
    “…This article presents a magnetic tracking system using on-chip anisotropic magnetoresistive (AMR) sensors. The system consists of four air-core coils sequentially generating four dc magnetic fields. …”
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    Wastewater-based AMR surveillance associated with tourism on a Caribbean island (Guadeloupe) by Mélanie Pimenta, Maria Alexa, Degrâce Batantou Mabandza, Sylvain Dulaurent, Bich-Tram Huynh, Margaux Gaschet, Lulla Opatowski, Sébastien Breurec, Marie-Cécile Ploy, Christophe Dagot

    Published 2025-06-01
    “…Therefore, understanding the transmission of ARB and ARGs is instrumental in tackling AMR. This longitudinal study aimed to assess the benefit of wastewater monitoring in Guadeloupe to evaluate the role of tourism in the spread of AMR. …”
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    Evaluating Sequence Alignment Tools for Antimicrobial Resistance Gene Detection in Assembly Graphs by Yusreen Shah, Somayeh Kafaie

    Published 2024-10-01
    “…In this study, we evaluate the performance of three sequence alignment tools—Bandage, SPAligner, and GraphAligner—in identifying AMR gene sequences from assembly and de Bruijn graphs, which are commonly used in microbial genome assembly. …”
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    Prognostic impact of coronary microvascular dysfunction assessed by AMR in acute coronary syndrome patients with chronic kidney disease by Ziyu Guo, Yike Li, Qiang Chen, Jingang Zheng, Jingang Zheng

    Published 2025-01-01
    “…BackgroundAngiography-derived microcirculatory resistance (AMR) is proposed as a novel, pressure- temperature-wire-free and less-invasive method to evaluate coronary microvascular dysfunction (CMD). …”
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    Evaluating antibiotic susceptibility trends in S. pneumoniae and H. influenzae isolates during the COVID-19 pandemic: An interrupted time series analysis of a nationwide antimicrob... by Daisuke Miyamori, Shuhei Yoshida, Kotaro Ikeda, Masanori Ito

    Published 2025-05-01
    “…Herein, we analyzed data from a large, multicenter, Japanese infectious disease database to evaluate the antibiotic susceptibility trends among bacterial species whose incidence reduced during the COVID-19 pandemic. …”
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    Development and validation of an AMR-based predictive model for post-PCI contrast-induced nephropathy in patients with acute ST-segment elevation myocardial infarction by Zhaokai Wang, Shuping Yang, Cheng Li, Chunxue Zhou, Chaofan Wang, Tangxing Jiang, Chengcheng Chen, Mengxin Shao, Tongda Xu

    Published 2025-06-01
    “…Independent risk factors for the development of nomogram were identified using univariate logistic regression, randomized forest regression, multifactorial logistic regression, and LASSO regression analyses. The study evaluated performance by creating calibration curves, analyzing the area under the curve (AUC-ROC) of subjects' work characteristics, examining calibration plots, and conducting decision curve analysis (DCA).ResultMultifactorial logistic regression analysis identified five independent predictors, including eGFR (OR:0.975; 95% CI: 0.970–0.983; P < 0.001), AMR (OR: 2.505; 95% CI: 1.756–3.656; P < 0.001), Serum blood uric acid to high-density lipoprotein cholesterol ratio (UHR) (OR: 1.006; 95% CI: 1.003–1.007; P < 0.001), The triglyceride and glucose index (TyG) (OR: 1.829; 95% CI: 1.346–2.502; P < 0.001), Contrast agent dosage (OR: 1.022; 95% CI: 1.016–1.028; P < 0.001), The nomogram accurately predicted the probability of CIN after PCI. …”
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