Birla Institute of Technology and Science

About: Birla Institute of Technology and Science is a education organization based out in Pilāni, Rajasthan, India. It is known for research contribution in the topics: Computer science & Population. The organization has 8897 authors who have published 13947 publications receiving 170008 citations.

CTR1 silencing inhibits angiogenesis by limiting copper entry into endothelial cells.

Abstract: Increased levels of intracellular copper stimulate angiogenesis in human umbilical vein endothelial cells (HUVECs) Copper transporter 1 (CTR1) is a copper importer present in the cell membrane and plays a major role in copper transport In this study, three siRNAs targeting CTR1 mRNA were designed and screened for gene silencing HUVECs when exposed to 100 µM copper showed 3 fold increased proliferation, migration by 18 - fold and tube formation by 18 - fold One of the designed CTR1 siRNA (si 1) at 10 nM concentration decreased proliferation by 25 - fold, migration by 4 - fold and tube formation by 28 - fold Rabbit corneal packet assay also showed considerable decrease in matrigel induced blood vessel formation by si 1 when compared to untreated control The designed si 1 when topically applied inhibited angiogenesis This can be further developed for therapeutic application

Optimized Design of a 32-nm CNFET-Based Low-Power Ultrawideband CCII

Abstract: CMOS technology faces significant challenges like tunneling effect, random dopant fluctuation, and line edge roughness at channel lengths below 45 nm. Carbon nanotube-based electronics seems to be a better prospect for extending the saturating Moore's law because of its higher mobility, scalability, and better channel electrostatics. This paper presents an optimum design of a wide bandwidth, high-performance carbon nanotube field-effect transistor (CNFET) realization of a dual-output second-generation current conveyor (CCII±) at a 32-nm technology node. The performance of the CCII module has been thoroughly investigated in terms of number of carbon nanotubes (CNTs), the diameter of CNT and inter-CNT pitch. The parameters of individual CNFET are then modified to further improve the performance. The performance of the optimum CNFET (ITOPT)-based CCII is then compared with CMOS at different supply voltages. It has been found that CNFET-based CCII provides excellent high-frequency response and also consumes lower power at scaled supply voltage compared with its CMOS counterpart.

Detection of Advanced Malware by Machine Learning Techniques

Abstract: In today’s digital world most of the anti-malware tools are signature based, which is ineffective to detect advanced unknown malware, viz metamorphic malware In this paper, we study the frequency of opcode occurrence to detect unknown malware by using machine learning technique For the purpose, we have used kaggle Microsoft malware classification challenge dataset The top 20 features obtained from Fisher score, information gain, gain ratio, Chi-square and symmetric uncertainty feature selection methods are compared We also studied multiple classifiers available in WEKA GUI-based machine learning tool and found that five of them (Random Forest, LMT, NBT, J48 Graft and REPTree) detect the malware with almost 100% accuracy

Financial development, poverty and rural-urban income inequality: evidence from South Asian countries

Abstract: This paper attempts to examine the relationship between financial development, rural–urban income inequality and poverty reduction in south Asian economies by using panel data from 1990 to 2013. The stationary properties of the variables are checked by LLC and IPS panel unit root tests. Pedroni’s panel co-integration test is used to examine the long run relationship and panel dynamic ordinary least squares (PDOLS) is employed to estimate the coefficients of co-integrating equation. The short term and long run causality is examined by panel Granger causality. Evidence confirms the existence of long-run equilibrium relationship among the variables. The results of PDOLS indicate that financial development and economic growth reduces poverty in south Asian countries, whereas rural–urban income inequality aggravates poverty. The empirical findings of panel Granger causality indicate the presence of short-run causality running from rural–urban income inequality and financial development to poverty reduction variable and from economic growth to inequality. The study recommends that policies geared towards increasing financial development and economic growth should be adopted in order to reduce the high level of poverty currently prevailing in south Asian economies.