Publications by authors named "S Kugler"
In the majority of aerosol drug deposition modelling efforts, the particles are approximated by regular spheres. However, microscope images acquired after drug formulation available in the open literature suggest that their shape is not regular in most of the cases. This work aimed to combine experimental measurements and numerical simulations to reveal the shape factors of the particles of commercialized aerosol drugs and the effect of non-sphericity on the lung deposition distribution of these drugs.
View Article and Find Full Text PDFArticle Synopsis
- Hospital and nursing-care-acquired infections are increasingly problematic, especially for older adults, with aerosol transmission of pathogens being a key concern during epidemics like COVID-19.
- Understanding how airborne particles carry pathogens is vital for controlling diseases like influenza and SARS-CoV-2, as smaller particles can stay airborne and contribute to transmission.
- The review discusses methods for studying aerosol particle behavior in the lungs, various numerical lung models, and effective air purification techniques to enhance safety in healthcare settings, particularly for vulnerable elderly populations.
Objective: The objective of study was to assess 24-h urinary Na and K excretion and estimate the average salt and K intakes in a nationally representative sample of the adult population of Slovenia.
Design: A nationally representative cross-sectional study was conducted in four stages between September and November 2022: study questionnaire, physical measurements, 24-h urine collection and laboratory analysis.
Setting: Slovenia.
The cross-section of various substrate-deposit metal pairs obtained with a laser-assisted additive manufacturing process has been studied by observing the composition profile with energy-dispersive spectroscopy (EDS). The EDS composition profiles observed with a sufficiently high data acquisition time revealed that the composition profile is asymmetric. By scanning toward the growth direction, a sudden composition variation was observed, which was followed by a slow decay.
View Article and Find Full Text PDFBackground: PRISMA-based literature reviews require meticulous scrutiny of extensive textual data by multiple reviewers, which is associated with considerable human effort.
Objective: To evaluate feasibility and reliability of using GPT-4 API as a complementary reviewer in systematic literature reviews based on the PRISMA framework.
Methodology: A systematic literature review on the role of natural language processing and Large Language Models (LLMs) in automatic patient-trial matching was conducted using human reviewers and an AI-based reviewer (GPT-4 API).