epiTCR: a highly sensitive predictor for TCR-peptide binding.

Motivation: Predicting the binding between T-cell receptor (TCR) and peptide presented by human leucocyte antigen molecule is a highly challenging task and a key bottleneck in the development of immunotherapy. Existing prediction tools, despite exhibiting good performance on the datasets they were built with, suffer from low true positive rates when used to predict epitopes capable of eliciting T-cell responses in patients. Therefore, an improved tool for TCR-peptide prediction built upon a large dataset combining existing publicly available data is still needed.

Effect of oxygen deficiency on organic matter decomposition during the early stage of composting.

This study aimed to elucidate the recovery of organic matter decomposition after oxygen deficiency in the early stage was replaced by aerobic conditions during composting. Oxygen deficiency at the early stage was created by supplying nitrogen gas into the composting for 3 days (LN3dA) and 5 days (LN5dA). Subsequently, air was introduced until the end of composting instead of nitrogen gas.

Effects of oxygen supply rate on organic matter decomposition and microbial communities during composting in a controlled lab-scale composting system.

The study aimed to elucidate the effect of oxygen supply rate (OSR) on the composting of model organic waste independently from other factors by using a controlled laboratory-scale reactor system. Four OSRs, 96.2, 24.