Towards Configured Intrusion Detection Systems

This paper studies the challenges in the current intrusion detection system and comparatively analyzes the active and passive response systems. The paper studies the existing IDS and their usefulness in detecting and preventing attacks in any type of network and control traffic with the performance of the system to be improved. The study also evaluates the emerging avenues in Intrusion Detection System and explores the possible future avenues in intrusion detection scheme. It is observed that the detection-based systems have started to gain popularity in the IT security domain. The paper highlights the need to implement an appropriately configured IDS since an optimally configured IDS deters hackers, thus, reducing the need for investigation by security experts for security violations

Comparison of central venous oxygen saturation and serum lactate clearance as predictors of outcome in septic shock patients: a prospective control trial

Background: Sepsis is the leading causes of mortality and morbidity in ICU. Early recognition and intervention ensures speedy recovery and early discharge. It’s possible only if good predicting parameters indicating optimum resuscitation are available. Lactate level reduction and ScvO2 level in the jugular vein can be utilized as predictors.Methods: In this prospective study after applying exclusion inclusion criteria, 99 patients were selected and randomized into 2 groups. In one group reduction in lactate levels and in other ScVo2 levels were used as a predictor of resuscitation. Therapeutic interventions, Hospital stay, ICU Stay and 28-day mortality were compared in both groups. Statistical analysis was carried out by SPSS software.Results: On comparison of demographic profile, morbidity, SOFA score and hemodynamic parameters, there was insignificant difference (P >0.05). No significant difference in the number of vasopressors, Average Hospital or ICU Stay (Group A is 10.68±21.46 while Group B is 9.49±17.22) and 28-day mortality rate (in Gp A 60% vs group B 57.1) was observed. Mean crystalloids administered in group A was 4.93±1.11 liters, significantly more than group B i. e. 4.19±1.17 liters. (P<0.05) which was statistically significant.Conclusions: Although both parameters of resuscitation are used widely and sometimes simultaneously, in this study lactate and ScvO2 both used and compared in a similar set of patients, appeared to be equivocal in term of 28-day mortality, except the volume of crystalloids required was more in ScvO2 Group

Plasmon induced transparency in graphene based terahertz metamaterials

Plasmon induced transparency (PIT) effect in a terahertz graphene metamaterial is numerically and theoretically analyzed. The proposed metamaterial comprises of a pair of graphene split ring resonators placed alternately on both sides of a graphene strip of nanometer scale. The PIT effect in the graphene metamaterial is studied for different vertical and horizontal configurations. Our results reveal that there is no PIT effect in the graphene metamaterial when the centers of both the split ring resonators and the graphene strip are collinear to each other. This is a noteworthy feature, as the PIT effect does not vanish for similar configuration in a metal-based metamaterial structure. We have further shown that the PIT effect can be tuned by varying the Fermi energy of graphene layer. A theoretical model using the three level plasmonic system is established in order to validate the numerical results. Our studies could be significant in designing graphene based frequency agile ultra-thin devices for terahertz applications

GENOME-WIDE IDENTIFICATION OF THE GATA TRANSCRIPTION FACTOR FAMILY IN Dichanthelium oligosanthes

The GATA transcription factors (TFs) play a crucial role in regulating various physiological processes in plants. Identification and characterization of the GATA TF family has been carried out in several important grass species, including rice, maize, and bamboo. However, no information is available on the GATA TFs in the C3 grass species Dichanthelium oligosanthes. In the current study, 31 GATA genes have been identified in the D. oligosanthes genome by stringent bioinformatics analysis. The exon-intron arrangement analysis of the DoGATAs via the Gene Structure Display Server (GSDS 2.0) revealed the redundancy and differences in their gene structural organization. In addition, the sequence comparisons within the DoGATAs via BLAST revealed 11 numbers of putative paralogs. Similarly, the BLAST comparisons among the OsGATAs and DoGATAs resulted in the identification of 21 orthologs. Structural analysis of the identified DoGATAs through Simple Modular Architecture Research Tool (SMART), Conserved Domain Database (CDD), and Multiple Expectation Maximization for Motif Elicitation (MEME) revealed that all of them possess the signature GATA domain and the C-X2-C-X18-C-X2-C consensus sequence. The phylogenetic analysis via MEGA divided the DoGATAs into four groups along with rice and Arabidopsis GATAs. In addition, the subcellular localization, gene ontology, and other peptide functional prediction results further supported the DoGATAs to be putative GATA genes. Moreover, the findings of this study can serve as a basic framework for the isolation and functional characterization of GATA genes in D. oligosanthes

An Empirical Investigation into Contagion and The Effects of The 2007 Global Financial Crisis On the Cross-Country Linkages Amongst Developed and Emerging Economies, and The Resulting Impact On the Diversification Opportunities for a Global Investor

Using data from 12 stock markets the conditional and unconditional correlations around the 2007 global financial crisis are examined across the 2000-2015 period, testing for the effects of contagion spanning across a range of sample periods. A statistical comparison of the Pearson correlation coefficients, Forbes and Rigobon adjusted coefficients, and Engle’s dynamic conditional correlation coefficients, has been conducted in order to determine which method provides the most robust results. It is demonstrated that the DCC model provides the most intuitive and robust estimates for the correlation coefficients as well as assessing the time-varying dynamic nature of these linkages, to display intricate patterns among each market and the corresponding fluctuations in correlations over time. Due to this time-varying nature, it is also found that sample size specification can result in differing interpretations based on the length of time that the sample periods tested around the crisis period are supporting the findings of Dungey and Zhumabekova (2001). Finally, from a novel three-sample testing framework, the nature of linkages can consistently be observed through understanding how the patterns change between markets. Whereby for USA, Canada, Australia, South Africa, Mexico, and Estonia, the correlation patterns suggest a long-term effect of contagion from the UK market upon these markets. Whereas observing the patterns for Australia, India, Turkey, and Argentina these countries display a short-term effect of contagion from the UK in that these markets display signs of recovery, following on from the crisis