Identification of catalytic residues can help unveil interesting attributes of enzyme function for various therapeutic and industrial applications.Based on their biochemical roles, the number of catalytic residues and sequence lengths of enzymes vary.This article describes a prediction approach (PINGU) for such a scenario.It uses models trained usi
Abstract Background Serious measures, including mass vaccination, have been taken to ensure sufficient hospital capacity during the COVID-19 pandemic.Due to high hospitalization risk in the oldest age groups, most countries prioritized elderly for vaccines.The aim of this study is to broaden the understanding of how vaccination in younger age group
Structural health monitoring (SHM) has been extensively used in the railway industry, with applications ranging from railway infrastructures to carbody shells.An SHM method that dominates monitoring procedures is Acoustic Emissions (AE).The utilisation of the AE method could use a significantly large amount of data, collected and citroen c4 grand p
Essential Variables are defined as a minimal set of variables that explain the state of the system.They are crucial for predicting its developments, and support metrics that house of lashes blessings measure its evolution.The variables should be relevant to meet requirements of stakeholders and be technically and economically feasible for systemati
Following the stimulating discussions in the workshops held during the 9th International Conference on Model and Data Engineering (MEDI 2019), we proposed to edit a special issue compiling the fruitful research resulting from those discussions.This special issue on current research in model and data engineering of the Journal of Universal Computer