The molecular classification of glioblastoma (GBM) based on gene expression might better explain outcome and response to treatment than clinical factors.Whole transcriptome sequencing using next-generation sequencing platforms is rapidly becoming accepted as a tool for measuring gene expression for both research and clinical use.Fresh frozen (FF) t
Combining Keyframes and Image Classification for Violent Behavior Recognition
Surveillance cameras are increasingly prevalent in public places, and security services urgently need to monitor violence in real time.However, the current violent-behavior-recognition models focus on spatiotemporal feature extraction, which has high hardware resource requirements and can be affected by numerous interference factors, such Acetylene
Impact of intelligent agents on the avoidance of spontaneous traffic jams on two-lane motorways
This paper approaches the evaluation of intelligent agents for the reduction and avoidance of spontaneous traffic jams, which arise without evident reason.Individual vehicles are regarded as intelligent agents that act autonomously.The basis of this work is the Nagel-Schreckenberg (NaSch) model.Its extensions by the velocity-dependent randomization
The modification and evaluation of an ELISA test for the surveillance of Mycobacterium avium subsp. paratuberculosis infection in wild ruminants
Abstract Background Enzyme-linked immunosorbent assay (ELISA) is often used to test wildlife samples for Mycobacterium avium subsp.paratuberculosis (MAP) infection.However, commercially available kits are only validated for use with domestic ruminant species.A literature review was performed to document the current use of MAP serum ELISA in wild an