Publications by authors named "Faming Liu"

Article Synopsis
  • The study investigates how effectively cellular analysis of bronchoalveolar lavage fluid (BALF) can differentiate between pulmonary infectious and non-infectious diseases in patients showing pulmonary shadows, while creating a new scoring system for diagnosis.
  • A retrospective analysis of 222 patients was performed, using techniques like LASSO regression and multivariable logistic regression to develop and validate the predictive model based on sampled data.
  • Results showed that the percentage of neutrophils in BALF was the most reliable predictor for infections, with a threshold of ≥16% providing a good balance of sensitivity and specificity, indicating its potential as an independent marker for diagnosing pulmonary infections.
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Exploring low-cost and eco-friendly bifunctional electrocatalysts of the oxygen evolution reaction (OER) and hydrogen evolution reaction (HER) in alkaline electrolytes is still highly desired, and is crucial for water electrolysis and sustainable hydrogen generation. In this work, we report a facile pyrolysis-oxidation strategy to convert by-product lignin into bifunctional OER/HER electrocatalysts (Co/CoO-NPC-400) composed of Co/CoO anchored on N-doped carbon with a surface of rich oxygen vacancies and oxygen-containing groups. The co-pyrolysis of lignin and NHCl can achieve a N-doped carbon matrix with a hierarchical pore structure, while the air-annealing process can induce the formation of oxygen-containing groups and oxygen vacancies.

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We propose a classification method using the radiomics features of CT chest images to identify patients with coronavirus disease 2019 (COVID-19) and other pneumonias. The chest CT images of two groups of participants (90 COVID-19 patients who were confirmed as positive by nucleic acid test of RT-PCR and 90 other pneumonias patients) were collected, and the two groups of data were manually drawn to outline the region of interest (ROI) of pneumonias. The radiomics method was used to extract textural features and histogram features of the ROI and obtain a radiomics features vector from each sample.

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