Publications by authors named "Yue-Fei Shen"

Article Synopsis
  • * The model evaluated data from 914 suspected COVID-19 pneumonia cases, assessing variables like epidemiological features, clinical symptoms, and imaging results.
  • * Results showed the model had a high accuracy of 87%, a sensitivity of 83.82%, and specificity of 89.57%, indicating its effectiveness for early detection and treatment of COVID-19 pneumonia.
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Article Synopsis
  • The study aimed to create a fast screening model to early detect novel coronavirus pneumonia (NCP) in a population from Zhejiang, China.
  • It involved 880 individuals suspected of having NCP and utilized various predictors like epidemiological data, clinical signs, and lab results, achieving a high accuracy of 0.920.
  • The developed models showed strong sensitivity and specificity, proving to be practical and cost-effective tools for predicting NCP early, especially amid a widespread outbreak.
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Several spontaneous E. coli mutants with the similar phenotype as that in the condition of amino acid deficiency were obtained on the selective media. One of the mutants (LCH001) showing slow growth phenotype on LB agar plate and pink or white colonies on MacConkey agar plate was mapped at rpoC gene encoding the beta' subunit of RNA polymerase by phage P1 transduction and transformation assays and found to be a new site mutation from G to T at 3406bp in the rpoC gene, which resulted in the amino acid change from Glycine (GGT) to Cysteine (TGT).

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