Biying Zhang
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Interpretable machine learning for early detection of carbapenem-resistant Klebsiella pneumoniae in ICUs: risk prediction using LASSO and XGBoost
Abstract Background: Carbapenem-resistant Klebsiella pneumoniae (CRKP) infections in intensive care units are associated with poor outcomes. The delay in obtaining culture-based susceptibility results often forces clinicians to choose between under-treatment and overtreatment with empirical antibiotics. A reliable early risk assessment using only standard clinical data could help address this challenge.
A Comparative Study on the Modification of Polyphenolic, Volatile, and Sensory Profiles of Merlot Wine by Indigenous Lactiplantibacillus plantarum and Oenococcus oeni
1. Introduction Following alcohol fermentation, most red wines undergo malolactic fermentation (MLF), which is a crucial step for improving their quality [1]. By converting malic acid to lactic acid, MLF reduces wine acidity and give wine a mellower flavor profile [2]. Additionally, the further consumption of residual sugars can prevent microbial spoilage in wine [3]. At present, Lp. plantarum and O. oeni. are the main lactic acid bacteria (LAB) used as MLF starter [1]. O.
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