Results 141 to 150 of about 878,319 (274)
An overview of issues in testing intrusion detection systems
Peter Mell
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Dual targeting of AKT and mTOR using MK2206 and RAD001 reduces tumor burden in an intracardiac colon cancer circulating tumor cell xenotransplantation model. Analysis of AKT isoform‐specific knockdowns in CTC‐MCC‐41 reveals differentially regulated proteins and phospho‐proteins by liquid chromatography coupled mass spectrometry. Circulating tumor cells
Daniel J. Smit+19 more
wiley +1 more source
An Adaptive Intrusion Detection System in the Internet of Medical Things Using Fuzzy-Based Learning. [PDF]
Alalhareth M, Hong SC.
europepmc +1 more source
Inhibitor of DNA binding‐1 is a key regulator of cancer cell vasculogenic mimicry
Elevated expression of transcriptional regulator inhibitor of DNA binding 1 (ID1) promoted cancer cell‐mediated vasculogenic mimicry (VM) through regulation of pro‐angiogenic and pro‐cancerous genes (e.g. VE‐cadherin (CDH5), TIE2, MMP9, DKK1). Higher ID1 expression also increased metastases to the lung and the liver.
Emma J. Thompson+11 more
wiley +1 more source
Multi-Classification and Tree-Based Ensemble Network for the Intrusion Detection System in the Internet of Vehicles. [PDF]
Gou W, Zhang H, Zhang R.
europepmc +1 more source
A Study of Security Rule Management for Misuse Intrusion Detection Systems using Mobile Agent
Tae-Kyung Kim+2 more
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Nuclear prothymosin α inhibits epithelial‐mesenchymal transition (EMT) in lung cancer by increasing Smad7 acetylation and competing with Smad2 for binding to SNAI1, TWIST1, and ZEB1 promoters. In early‐stage cancer, ProT suppresses TGF‐β‐induced EMT, while its loss in the nucleus in late‐stage cancer leads to enhanced EMT and poor prognosis.
Liyun Chen+12 more
wiley +1 more source
A distributed SDN-based intrusion detection system for IoT using optimized forests. [PDF]
Luo K.
europepmc +1 more source
Adaptive Intrusion Detection Algorithm based on Artificial Immune System
Kwee-Bo Sim, Jaewon Yang
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An Immune Inspired Network Intrusion Detection System Utilising Correlation Context [PDF]
Gianni Tedesco, Uwe Aickelin
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