Robust genetic machine learning ensemble model for intrusion detection in network traffic.

Network security has developed as a critical research subject as a result of the Rapid advancements in the development of Internet and communication technologies over the previous decades. The expansion of networks and data has caused cyber-attacks on the systems, making it difficult for network security to detect breaches effectively. Current Intrusion Detection Systems (IDS) have several flaws, including their inability to prevent attacks on their own, the requirement for a professional engineer to administer them, and the occurrence of false alerts.

Group theoretical analysis for unsteady magnetohydrodynamics flow and radiative heat transfer of power-law nanofluid subject to Navier's slip conditions.

The present work covers the flow and heat transfer model for the Power-law nanofluid in the presence of a porous medium over a penetrable plate. The flow is caused by the impulsive movement of the plate embedded in Darcy's porous medium. The flow and heat transfer models are examined with the effect of linear thermal radiation in the flow regime.

SLC41A1 is the only magnesium responsive gene significantly overexpressed in placentas of preeclamptic women.

Objective: To examine expression profile of magnesium responsive genes (MRGs) in placentas of normoevolutive and preeclamptic women.

Methods: The expression profiles of MRGs were determined in placentas of normoevolutive (N=26) and preeclamptic (N=25) women by RT-qPCR.

Results: Among all tested MRGs (9) only SLC41A1 (encoding for Na(+)/Mg(2+) exchanger) was significantly overexpressed in ~54.