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.

Radial flow in non-extensive thermodynamics and study of particle spectra at LHC in the limit of small (q - 1)

Abstract: We expand the Tsallis distribution in a Taylor series of powers of (q - 1), where q is the Tsallis parameter, assuming q is very close to 1. This helps in studying the degree of deviation of transverse momentum spectra and other thermodynamic quantities from a thermalized Boltzmann distribution. After checking thermodynamic consistency, we provide analytical results for the Tsallis distribution in the presence of collective flow up to the first order of (q - 1). The formulae are compared with the experimental data.

Application of empirical mode decomposition for analysis of normal and diabetic RR-interval signals

Abstract: We propose new features for analysis of normal and diabetic RR-interval signals.Features are extracted from intrinsic mode functions of RR-interval signals.Two unique visual plots are proposed for diagnosis of diabetes.Proposed features are suitable for discrimination of normal and diabetic classes. Large number of people are affected by Diabetes Mellitus (DM) which is difficult to cure due to its chronic nature and genetic link. The uncontrolled diabetes may lead to heart related problems. Therefore, the diagnosis and monitoring of diabetes is of great importance. The automatic detection of diabetes can be performed using RR-interval signals. The RR-interval signals are nonlinear and non-stationary in nature. Hence linear methods may not be able to capture the hidden information present in the signal. In this paper, a new nonlinear method based on empirical mode decomposition (EMD) is proposed to discriminate between diabetic and normal RR-interval signals. The mean frequency parameter using Fourier-Bessel series expansion ( MF FB ) and the two bandwidth parameters namely, amplitude modulation bandwidth ( B AM ) and frequency modulation bandwidth ( B FM ) extracted from the intrinsic mode functions (IMFs) obtained from the EMD of RR-interval signals are used to discriminate the two groups. Unique representations such as analytic signal representation (ASR) and second order difference plot (SODP) for IMFs of RR-interval signals are also proposed to differentiate the two groups. The area parameters are computed from ASR and SODP of IMFs of RR-interval signals. Area computed from these representation as area corresponding to the 95% central tendency measure (CTM) of ASR of IMFs ( A ASR ) and 95% confidence ellipse area of SODP of IMF ( A SODP ) are also proposed to discriminate diabetic and normal RR-interval signals. Overall, five features are extracted from IMFs of RR-interval signals namely MF FB , B AM , B FM , A ASR and A SODP . Kruskal-Wallis statistical test is used to measure the discrimination ability of the proposed features for detection of diabetic RR-interval signals. Results obtained from proposed methodology indicate that these features provide the statistically significant difference between diabetic and normal classes.

Substituent dependent sensing behavior of Schiff base chemosensors in detecting Zn2+and Al3+ ions: Drug sample analysis and living cell imaging

Abstract: Some novel Schiff base chemosensors (L1-L5) have been designed on the basis of electron activating/ deactivating properties in the salicyldehyde ring and developed to detect Al3+ and Zn2+ selectively in MeOH-H2O (1/9; v/v) solvent system. The chemosensor, L1 has been characterized by single crystal X-ray crystallography apart from various common spectroscopic techniques and ESI-MS. Among those, the molecular probe having most electronegative group selectively sense Al3+ and Zn2+ by switching on the fluorescence in the adduct. The molecule L1 remains non-fluorescent in solution due to photo-induced electron transfer (PET), excited state intramolecular proton transfer (ESIPT) and C N bond isomerization. However, in presence of metal ion, chelation-induced enhanced fluorescence (CHEF) comes into play to inhibit all the processes and induce dramatic fluorescence increase in the adduct. The underlying mechanism and experimental observations have been corroborated with theoretical calculations. The chemosensor, L1 has been found to be effective to determine the concentration of the selective ions in real sample (drug analysis) and detect them in living cells through optical imaging at physiological pH. The LOD value for Al3+ and Zn2+ have been found to be 8.04 × 10−7 and 7.95 × 10−7 M range respectively. The sensor-metal ion adduct can be further distinguished selectively by turning off the fluorescence of the adduct upon treatment with specific anions for particular metal ion.