Purpose The aim of this study was to explore the clinical, microbiological, and molecular characteristics of Stenotrophomonas maltophilia bacteraemia, outcomes, and risk factors associated with mortality. Methods This was a nationwide retrospective cohort study of patients with S. maltophilia bacteraemia during the period between January 2017 and December 2021. MIC Test Strips (Liofilchem, Roseto degli Abruzzi, Italy) were use...

Supervised machine learning has become increasingly adopted in urban contamination studies, offering higher accuracy than conventional methods in interpreting complex datasets, distinguishing contamination zones, identifying key drivers, and defining geochemical fingerprints. Accordingly, this study explores the applicability and performance of Partial Least Squares Discriminant Analysis (PLS-DA) for classifying heavy metal co...

Despite the prevalence of various infectious and pandemic diseases worldwide, cancer remains the leading cause of death. Clinical approaches for treating cancer vary depending on the tumor type and aggressiveness, including surgery, chemo-, radio-, immune- and hormone therapies. However, the efficacy of these treatments is hindered by the high mortality rate during chemotherapy and radiotherapy, primarily due to severe side ef...

Background Global crop productivity is increasingly constrained by diverse environmental stresses, highlighting the urgent need for efficient, targeted, and sustainable agricultural input delivery strategies to enhance crop performance and resilience. Scope This review critically compares three widely used agricultural approaches: seed priming, foliar spraying, and soil application with emphasis on their practical impacts on c...

Objective Brain injury and neurodegenerative conditions are largely caused by oxidative damage and endoplasmic reticulum (ER) stress spurred on by hyperlipidemia. To lessen these consequences in the brains of hyperlipidemic rats, this study assesses the therapeutic potential of both rosuvastatin glycerosomes (RSV GLSMs) and niacin. Methods The study had five groups: control, hyperlipidemia induced by poloxamer 407 (P407), RSV...

Flood susceptibility mapping is essential for mitigating urban flood risks, yet balancing model interpretability and predictive accuracy remains a challenge in environmental modelling. While ensemble machine learning models offer strong predictive performance, their complexity often limits interpretability. This study introduces the application of Accumulated Local Effects (ALE), an explainable AI method, to enhance transparen...