STUDY ON NETWORK INTRUSION DETECTION METHOD USING DISCRETE PRE-PROCESSING METHOD AND CONVOLUTION NEURAL NETWORK

Study on Network Intrusion Detection Method Using Discrete Pre-Processing Method and Convolution Neural Network

The network intrusion detection system is a core technology of network security that detects packets for malicious activities occurring in the network and is an essential element for stable services in extended network environments such as big data and IoT.These network intrusion detection systems have been studied together with machine learning an

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Inadequate structural constraint on Fab approach rather than paratope elicitation limits HIV-1 MPER vaccine utility

Abstract Broadly neutralizing antibodies (bnAbs) against HIV-1 target conserved envelope (Env) epitopes to block viral replication.Here, using structural analyses, we provide evidence to explain why a vaccine targeting the membrane-proximal external region (MPER) of HIV-1 elicits antibodies with human bnAb-like paratopes paradoxically unable to bin

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RNA demethylase ALKBH5 prevents pancreatic cancer progression by posttranscriptional activation of PER1 in an m6A-YTHDF2-dependent manner

Abstract Background N6-methyladenosine (m6A) is the most abundant reversible methylation modification of eukaryotic mRNA, and it plays vital roles in tumourigenesis.This study aimed to explore the role of the m6A demethylase ALKBH5 in pancreatic cancer (PC).Methods The expression of ALKBH5 and its clinicopathological impact were evaluated in PC coh

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