Machine learning models for predicting indoor airborne fungal concentrations in public facilities utilizing environmental variables.

Airborne fungi are major contributors to substandard indoor air quality, with potential implications for public health, especially in public facilities. The risk of chronic exposure can be significantly reduced by accurately predicting airborne fungal concentrations. To manage indoor air quality, we developed machine learning (ML) models that predict airborne fungal concentrations in public facilities by utilizing environmental variables, such as facility type, floor, month, air temperature, relative humidity, coarse particulate matter (PM), and 2-day accumulated precipitation.

Atypical pulmonary manifestations suggestive of lung cancer in behçet's disease with spontaneously regressing lymphadenopathy and a lung mass: a case report.

Background: Behçet's disease (BD) is a multisystem inflammatory disorder that can affect various organs, including the lungs. Pulmonary manifestations are rare and typically present as pulmonary artery aneurysms.

Case Presentation: We report the case of a 56-year-old East Asian male with a 27-year history of BD, who had no respiratory symptoms, such as hemoptysis, cough, or fever.

IL-6 and PD-1 antibody blockade combination therapy regulate inflammation and T lymphocyte apoptosis in murine model of sepsis.

Background: Interleukin-6 (IL-6) plays a central role in sepsis-induced cytokine storm involving immune hyperactivation and early neutrophil activation. Programmed death protein-1 (PD-1) is associated with sepsis-induced immunosuppression and lymphocyte apoptosis. However, the effects of simultaneous blockade of IL-6 and PD-1 in a murine sepsis model are not well understood.

Highly accurate Korean draft genomes reveal structural variation highlighting human telomere evolution.

Given the presence of highly repetitive genomic regions such as subtelomeric regions, understanding human genomic evolution remains challenging. Recently, long-read sequencing technology has facilitated the identification of complex genetic variants, including structural variants (SVs), at the single-nucleotide level. Here, we resolved SVs and their underlying DNA damage-repair mechanisms in subtelomeric regions, which are among the most uncharted genomic regions.

Socioeconomic disparities in influenza vaccination uptake: impact of the COVID-19 pandemic in South Korea.

Background: This study aimed to investigate the sociodemographic and behavioral factors related to increased influenza vaccination uptake during the COVID-19 pandemic in South Korea, particularly among adults not eligible for free vaccination.

Methods: Analyzing data from 78,815 participants in the Korea National Health and Nutrition Examination Survey (2010-2021), we assessed trends in influenza vaccination coverage. Various sociodemographic factors, behavioral aspects, and psychological stress levels were assessed using multivariable logistic regression to evaluate the difference in vaccination response during pre-/post-COVID-19 periods.