MOF is the major histone H4 lysine 16-specific (H4K16) acetyltransferase in mammals and Drosophila. In flies, it is involved in the regulation of X-chromosomal and autosomal genes as part of the MSL and the NSL complexes, respectively. While the function of the MSL complex as a dosage compensation regulator is fairly well understood, the role of the NSL complex in gene regulation is still poorl...

The fate of fluorescently labeled pre-nsL-TP (Cy3-pre-nsL-TP) microinjected into BALB/c 3T3 fibroblasts was investigated by confocal laser scanning microscopy. The protein exhibited a distinct punctate fluorescence pattern and colocalized to a high degree with the immunofluorescence pattern for the peroxisomal enzyme acyl-CoA oxidase. Proteolytic removal of the C-terminal leucine of the putativ...

Abstract Intrusion detection systems get more attention to secure the computers and network systems. Researchers propose different intrusion using machine learning techniques. However, massive amount of data that contain irrelevant redundant features is still challenging The redundancy irrelevance may slow processing time decrease prediction performance. This paper proposes a Heterogeneous Ense...

In this modern era, due to demand for cloud environments in business, the size, complexity, and chance of attacks virtual network (VCN) are increased. The protection VCN is required maintain faith users. Intrusion detection essential secure any network. existing approaches that use conventional neural cannot utilize all information identifying intrusions. paper, anomaly-based NIDS proposed. For...

Internet of Things (IoT) has transcended from its application in traditional sensing networks such as wireless and radio frequency identification to life-changing critical applications. However, IoT are still vulnerable threats, attacks, intrusions, other malicious activities. Intrusion Detection Systems (IDS) that employ unsupervised learning techniques used secure sensitive data transmitted o...

Cyber security is a fundamental challenge to the Internet of things (IoT) and smart home environments .This paper presents modified method ystem (IDS).setection dntrusion ienhance performance This modification achieved by introducing an alternative feature selection (FS) . ptimizer (GTO) algorithm.oroops torilla gmodel based on Recently, FS has played significant role in increasing detection an...

The cDNA encoding the precursor form of non-specific lipid-transfer protein (pre-nsL-TP) from rat liver was cloned into the expression vector pET3d. The resulting plasmid was transformed to the Escherichia coli strain BL21(DE3). After induction of the bacteria with isopropyl-beta-D-thiogalactopyranoside (IPTG) pre-nsL-TP was purified from the bacterial lysate by anion exchange chromatography fo...

The world has witnessed a fast-paced digital transformation in the past decade, giving rise to all-connected environments. While increasingly widespread availability of networks benefited many aspects our lives, providing necessary infrastructure for smart autonomous systems, it also created large cyber attack surface. This made real-time network intrusion detection significant component any co...

The potential of machine learning mechanisms played a key role in improving the intrusion detection task. However, other factors such as quality data, overfitting, imbalanced problems, etc. may greatly affect performance an intelligent system (IDS). To tackle these issues, this paper proposes novel learning-based IDS called i-2NIDS. novelty approach lies application nested cross-validation meth...

The present era is being dominated by cloud computing technology which provides services to the users as per demand over internet. Satisfying needs of huge people makes prone activities come up a threat. Intrusion detection system (IDS) an effective method providing data security information stored in works analyzing network traffic and informs case any malicious activities. In order control hi...