Development and validation of a nomogram to predict overall survival in patients with External auditory canal cancer.

Aim: We aimed to examine the influence of various prognostic factors on the outcome of external auditory canal (EAC) cancer and create a graphical prediction tool, marking a first in this field, premised on these determinants.

Methods: We retrospectively analysed 173 patients with EAC cancer, making this the largest patient cohort in the literature. Survival analysis was performed using the Kaplan-Meier method, and the log-rank test was used to assess the differences between established prognostic variables.

PhyImpute and UniFracImpute: two imputation approaches incorporating phylogeny information for microbial count data.

Sequencing-based microbial count data analysis is a challenging task due to the presence of numerous non-biological zeros, which can impede downstream analysis. To tackle this issue, we introduce two novel approaches, PhyImpute and UniFracImpute, which leverage similar microbial samples to identify and impute non-biological zeros in microbial count data. Our proposed methods utilize the probability of non-biological zeros and phylogenetic trees to estimate sample-to-sample similarity, thus addressing this challenge.

tRNA-Ser-UGA efficiently promotes the rapid release of duck hepatitis A virus from infected enterocytes and its remote dissemination to hepatocytes.

Enterocytes are a necessary portal for fecal-oral transmission of viruses, including duck hepatitis A virus (DHAV), that act on the absorption of amino acids (AAs). We note that the rapid death of ducklings caused by DHAV is likely due to its rapid release from enterocytes. However, the underlying mechanism driving the release of DHAV remains poorly understood.

Adsorption and migration of sulfamethoxazole driven by suspended particulate matter in water body.

The extensive use of antibiotics has led to significant antibiotic pollution in water bodies, and suspended particulate matter (SPM) is known to be a key carrier of antibiotics in rivers. In this work, the adsorption characteristics of sulfamethoxazole (SMX) on SPM was investigated through batch adsorption and annular flume experiments, and the MIKE 21 model was employed to simulate the migration of SMX and SPM. Results revealed that most SMX adsorption occurred rapidly within 20 min, and 80 % of the equilibrium adsorption capacity was reached.