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.

Industrial-Scale Solution Blowing of Soy Protein Nanofibers

Abstract: Solution blowing is one of the most industrially viable processes for mass production of nanofibers without significant change of trade practices. In this work a novel industrially scalable approach to nanofiber production by solution blowing is demonstrated using Biax die. Blends of biopolymer soy protein isolate Clarisoy 100 and poly(ethylene oxide) (Mw = 600 kDa) were solution blown as aqueous solutions using a spinneret with 8 rows with 41 concentric annular nozzles. Nanofiber mats were collected on a drum, and samples with an area of the order of 0.1–1 m2 were formed in about 10 s. Nanofibers were relatively uniform with the diameters of about 500–600 nm. Theoretical aspects of capillary instability, dripping, and fly formation in solution blowing relevant from the experimental point of view are discussed, as well as ways of their prevention are revealed.

Empirical Mode Decomposition Based Classification of Focal and Non-focal Seizure EEG Signals

Abstract: The electroencephalogram (EEG) signals are commonly used signals for detection of epileptic seizures. In this paper, we present a new method for classification of two classes of EEG signals namely focal and non-focal EEG signals. The proposed method uses the sample entropies and variances of the intrinsic mode functions (IMFs) obtained by empirical mode decomposition (EMD) of EEG signals. The average sample entropy (ASE) of IMFs and average variance of instantaneous frequencies (AVIF) of IMFs for separate EEG signals have been used as features for classification of focal and non-focal EEG signals. These two parameters have been used as an input feature set to the least square support vector machine (LS-SVM) classifier. The experimental results for various IMFs of focal and non-focal EEG signals have been included to show the effectiveness of the proposed method. The proposed method has provided promising classification accuracy for classification of focal and non-focal seizure EEG signals when radial basis function (RBF) has been employed as a kernel with LS-SVM classifier.

Nickel(II) complexes with a flexible piperazinyl moiety: studies on DNA and protein binding and catecholase like properties

Abstract: Four new mononuclear Ni(II) complexes [Ni(L1)]ClO4 (1a), [Ni(L2)]ClO4(1b), [Ni(SCN)3(CH3OH)(aminoethylpiperazineH)] (2a), and [Ni(DMSO)4(aminoethylpiperazineH)](ClO4)3(2b)have been synthesized from two Schiff base ligands [L1 = 1-phenyl-3-((2-(piperidin-4-yl)ethyl)imino)but-1-en-1-ol and L2 = 4-((2-(piperazin-1-yl)ethyl)imino)pent-2-en-2-ol] by exploiting the flexibility of the piperazinyl moiety. Structural analysis reveals that 1a and 1b are square planar complexes with piperazine rings in boat conformations whereas hydrolysis of Schiff bases (L1 and L2) occurs during formation of octahedral complexes (2a and 2b) with piperazine rings in chair conformations. Screening tests were conducted to quantify the binding ability of complexes (1a, 1b and 2a) towards DNA, BSA and HSA and it was found that square planar complexes (1a and 1b) showed more effective binding properties over octahedral complex (2a). Furthermore, enzyme kinetic studies reflect that square planar complexes (1a and 1b) are also effective in mimicking catecholase like activities over octahedral complex (2a). Among all the complexes, 1a was found to be the most promising molecule among the series due to its large binding affinity towards different bio-macromolecules and higher T.O.N in the catechol oxidation reaction.

Investigations of Anisotropic Flow Using Multiparticle Azimuthal Correlations in pp,p-Pb, Xe-Xe, and Pb-Pb Collisions at the LHC

Abstract: Measurements of anisotropic flow coefficients (vn) and their cross-correlations using two- and multiparticle cumulant methods are reported in collisions of pp at √s=13 TeV, p−Pb at a center-of-mass energy per nucleon pair √sNN=5.02 TeV, Xe-Xe at √sNN=5.44 TeV, and Pb-Pb at √sNN=5.02 TeV recorded with the ALICE detector. The multiplicity dependence of vn is studied in a very wide range from 20 to 3000 particles produced in the midrapidity region |η| v3>v4 is found in pp and p−Pb collisions, similar to that seen in large collision systems, while a weak v2 multiplicity dependence is observed relative to nucleus-nucleus collisions in the same multiplicity range. Using a novel subevent method, v2 measured with four-particle cumulants is found to be compatible with that from six-particle cumulants in pp and p−Pb collisions. The magnitude of the correlation between v2n and v2m, evaluated with the symmetric cumulants SC(m, n) is observed to be positive at all multiplicities for v2 and v4, while for v2 and v3 it is negative and changes sign for multiplicities below 100, which may indicate a different vn fluctuation pattern in this multiplicity range. The observed long-range multiparticle azimuthal correlations in high multiplicity pp and p−Pb collisions can neither be described by pythia 8 nor by impact-parameter-Glasma, music, and ultrarelativistic quantum molecular dynamics model calculations, and hence, provide new insights into the understanding of collective effects in small collision systems.