Indian Institute of Technology Indore

About: Indian Institute of Technology Indore is a education organization based out in Indore, Madhya Pradesh, India. It is known for research contribution in the topics: Computer science & Chemistry. The organization has 1606 authors who have published 4803 publications receiving 66500 citations.

Photophysical and photodynamical study of ellipticine: an anticancer drug molecule in bile salt modulated in vitro created liposome

Abstract: The entrapment of anticancer drug ellipticine in the dipalmitoylphosphocholine (DPPC) liposome and its release by addition of three different bile salts, namely sodium deoxycholate, cholate and taurocholate, have been studied by steady state and time resolved fluorescence spectroscopy. We found that the release of the drug from a liposome depends on the degree of penetration of bile salts. Among the three bile salts, deoxycholate was most effective in releasing the drug from the hydrocarbon core of the liposome because of its high insertion ability owing to its maximum hydrophobicity. The time resolved studies revealed that with addition of bile salt to the liposome solution, ellipticine molecules were removed from the hydrocarbon core and were entrapped in an interfacial region of liposomes by electrostatic interaction. This led to an increase in the shorter lifetime component. On the other hand, the longer lifetime component decreased because bile salts wet the hydrocarbon core of the liposome by carrying hydrogen bonded water. Entrapment of ellipticine in the interfacial region was also supported by an increase in the rotational relaxation time with addition of bile salt.

Comprehensive Review On Twin Support Vector Machines

Abstract: Twin support vector machine (TSVM) and twin support vector regression (TSVR) are newly emerging efficient machine learning techniques which offer promising solutions for classification and regression challenges respectively. TSVM is based upon the idea to identify two nonparallel hyperplanes which classify the data points to their respective classes. It requires to solve two small sized quadratic programming problems (QPPs) in lieu of solving single large size QPP in support vector machine (SVM) while TSVR is formulated on the lines of TSVM and requires to solve two SVM kind problems. Although there has been good research progress on these techniques; there is limited literature on the comparison of different variants of TSVR. Thus, this review presents a rigorous analysis of recent research in TSVM and TSVR simultaneously mentioning their limitations and advantages. To begin with we first introduce the basic theory of TSVM and then focus on the various improvements and applications of TSVM, and then we introduce TSVR and its various enhancements. Finally, we suggest future research and development prospects.

On Impact of Imperfect CSI Over Hexagonal QAM for TAS/MRC-MIMO Cooperative Relay Network

Abstract: In this letter, we investigate the effect of imperfect channel state information (CSI) on quadrature amplitude modulation (QAM) schemes for a multi-input and multi-output (MIMO) variable gain non-regenerative cooperative network over the generalized Nakagami-m fading channel. Energy-efficient and standardized transmit antenna selection strategy is employed, to evaluate the system performance by considering the antenna link, which maximizes the received signal power. Framework for the upper-bound outage probability (OP), asymptotic OP and the average symbol error rate for hexagonal QAM, rectangular QAM, and 32-cross QAM are provided. Useful insights are drawn from comparative ASER analysis of various QAM schemes by considering the impact of both the fading parameter and the imperfect CSI for MIMO channels. Finally, the derived analytical results are validated through Monte-Carlo simulations.