Explore our Nature Communications study unraveling annelids' ancient secrets. We decode sterol evolution in animals’ ancient ancestor at the dawn of their evolution.
Hierarchical machine-learning framework to efficiently identify candidates for next-generation radiation detectors
Influenza is not a single virus, but a collection of subtypes broken down into many different strains. Ordinary flu vaccines can only protect against a small proportion of these. Here, we obtained a surprisingly broad protection by sequential vaccination of pigs with highly diverse “H1N1” strains.
Proteomics plays key roles in biomedical research but accompanied by technical issues like data integration, missing value imputation, batch effect correction and their confounding. To investigate these issues and benchmark data processing methods, proper gold standard proteomic datasets are needed.
Urban areas worldwide are undergoing rapid population expansions, which drive not only economic growth but also lead to higher housing costs. In this paper, we propose a novel estimation approach to estimate the impact of population growth on housing costs using Australian city-level panel data.
Study of optimization for material processing parameters by means of probabilistic methodology for multi‑objective optimization
Selection and use of proper processing parameters are quite important for material machining. In the present paper, the probabilistic methodology is employed to perform the designs of materials processing for improving quality and cost saving at the same time.