Abstract Background Current approaches to identifying drug-drug Ornament interactions (DDIs), include safety studies during drug development and post-marketing surveillance after approval, offer important opportunities to identify potential safety issues, but are unable to provide complete set of all possible DDIs.Thus, the drug discovery researche
Structural Health Monitoring of Underground Metro Tunnel by Identifying Damage Using ANN Deep Learning Auto-Encoder
Due to the complexity of underground environmental conditions and operational Trinket Tray incidents, advanced and accurate monitoring of the underground metro shield tunnel structures is crucial for maintenance and the prevention of mishaps.In the past few decades, numerous deep learning-based damage identification studies have been conducted on a
Jurisdictional Immunity of the Russian Federation as a Subject of International Private Law
This article discusses the concept of jurisdictional immunity.The problematic provisions related to the understanding of jurisdictional immunity in theory, legislation and judicial practice are presented.The international and Washing Up Bowl national legislation related to the status of the state upon its entry into private law relations is analyze
The Advantage of Automatic Peer-Reviewing of 13C-NMR Reference Data Using the CSEARCH-Protocol
A systematic 1994-2004 investigation of the experimental 13C-NMR spectra published in Molecules during the period of 1996 to 2015 with respect to their quality using CSEARCH-technology is described.It is shown that the systematic application of the CSEARCH-Robot-Referee during the peer-reviewing process prohibits at least the most trivial assignmen