110 research outputs found

    Maps of sampling areas in this study.

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    A) Map of Myanmar and Yangon division (red full hatched area). B) The rice sampling points in five townships on the geographical map. The township names are as follows: Dala (DL), Taik Kyi (TK), Htan Ta Pin (HTP), Kaw Mhu (KM), and Kon Chan Kone (KCK). Figure made with 3Kaku-K company (https://www.freemap.jp/) and OpenStreetMap (https://www.openstreetmap.org/) sites.</p

    Application of linear switched reluctance motors to precision position control

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    Author name used in this publication: Norbert C. CheungVersion of RecordPublishedPublisher permissio

    Coexistence of stationary Görtler and crossflow instabilities in boundary layers

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    Author name used in this publication: 黃駿傑Author name used in this publication: 郝佳傲Author name used in this publication: 温志湧202502 bcchVersion of RecordRGCOthersNational Natural Science Foundation of ChinaPublishedVoR allowe

    A child with a lung malignancy

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    Coexistence of different mechanisms underlying the dynamics of supersonic turbulent flow over a compression ramp

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    Author name used in this publication: 范建辉Author name used in this publication: 黄駿傑Author name used in this publication: 郝佳傲Author name used in this publication: 温志湧202409 bcchVersion of RecordRGCPublishedVoR allowe

    A randomised controlled pilot study of a Nintendo Ring Fit Adventure™ balance and strengthening exercise program in community-dwelling older adults with a history of falls

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    202406 bcwhVersion of RecordOthersUndergraduate Research and Innovation Scheme (URIS), The Hong Kong Polytechnic UniversityPublishedWiley (2024)T

    Quantitative analysis of pleural fluid cell-free DNA as a tool for the classification of pleural effusions

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    Background: Recently, much interest has been focused on the quantification of DNA in miscellaneous body fluids. In this study, the application is extended to classifying pleural effusions by measuring cell-free DNA in pleural fluid. Methods: We recruited 50 consecutive patients with pleural effusions with informed consent. Pleural fluids were centrifuged at 13 000g, with supernatants aliquoted for extraction and analysis of β-globin DNA sequence by quantitative real-time PCR. Serum and pleural fluid biochemistries were performed to classify pleural effusions using the modified criteria of Light et al. (Ann Intern Med 1972;77:507-13). The ROC curve was plotted to determine the cutoff DNA concentration for ciassifying pleural fluids as transudates or exudates. Indicators of diagnostic accuracy were calculated for both pleural fluid DNA and modified criteria of Light et al., using the discharge, microbiologic, and histologic diagnoses as the reference standard. Results: The area under the ROC curve was 0.95 [95% confidence interval (CI), 0.84-0.99]. At 509 genome-equivalents/mL, pleural fluid DNA alone correctly classified 46 of 50 pleural effusions with 91% sensitivity (95% CI, 76-98%), 88% specificity (95% CI, 64-98%), and positive and negative likelihood ratios of 7.7 (95% CI, 3.1-19.5) and 0.10 (95% CI, 0.04-0.27), respectively. With the modified criteria of Light et al., 43 of 50 pleural effusions were correctly classified with 97% sensitivity (95% CI, 91-100%) and 67% specificity (95% CI, 45-89%). There were significant correlations between cell-free DNA and both lactate dehydrogenase and total protein in pleural fluid, suggesting their common origin. Conclusions: Pleural fluid DNA concentrations are markedly increased in exudative effusions, making it a potential new tool to evaluate the etiologic causes of pleural effusions. © 2003 American Association for Clinical Chemistry.link_to_subscribed_fulltex
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