Faculty Publications

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Investigation on structural, magneto-transport, magnetic and thermal properties of La0.8Ca0.2-xBaxMnO3 (0 ? x ? 0.2) manganites
(Elsevier Ltd, 2015) Manjunatha, S.O.; Rao, A.; Subhashini, u.; Okram, G.S.
A systematic study on the structural, electrical, magnetic and thermo-electric properties of La0.8BaxCa0.2-xMnO3 (0 ? x ? 0.2) manganites is carried out in the present work. The samples have been prepared using solid state reaction technique. All the samples are single phased. It is seen that Ba-doping introduces a structural phase transformation viz. from rhombohedral to cubic system. Electric and magnetic studies respectively show that the metal-insulator transition temperature, TMI and Curie temperature, TC increase with Ba-content. Magneto-resistance (MR) data shows that it decreases with Ba-doping. Analyses of the electrical transport data in metallic region i.e. T < TMI shows that the electrical transport is governed predominantly by electron-electron scattering process. On the other hand, the adiabatic small polaron hopping (ASPH) model is appropriate in the high-temperature insulating range viz. T > TMI. We have used the electrical resistivity data in the entire temperature range (50-300 K) and analyzed using the phenomenological percolation model which is based on the phase segregation mechanism. We have analyzed the Seebeck coefficient data which reveals that the small polaron hopping mechanism is operative in high temperature regime and the low temperature region is examined by taking into account the impurity, electron-magnon scattering, and spin wave fluctuation terms. It is established that the electron-magnon scattering is dominating for the thermoelectric transport below TMI. © 2015 Elsevier B.V.
Spatial and temporal variations in river water quality of the Middle Ganga Basin using unsupervised machine learning techniques
(Springer Science and Business Media Deutschland GmbH, 2020) Krishnaraj, A.; Deka, P.C.
In this study, cluster analysis (CA), principal component analysis (PCA) and correlation were applied to access the river water quality status and to understand spatiotemporal patterns in the Ganga River Basin, Uttara Pradesh. The study was carried out using data collected over 12 years (2005–2017) regarding 20 water quality parameters (WQPs) covering spatially from upstream to downstream Ankinghat to Chopan, respectively (20 stations under CWC Middle Ganga Basin). The temporal variations of river water quality were established using the Spearman non-parametric correlation coefficient test (Spearman R). The highest Spearman R (?0.866) was observed for temperature with the season and a very significant p value of (0.0000). The parameters EC, pH, TDS, T, Ca, Cl, HCO3, Mg, NO2 + NO3, SiO2 and DO had a significant correlation with the season (p < 0. 05). K-means clustering algorithm grouped the stations into four different clusters in dry and wet seasons. Based on these clusters, box and whisker plots were generated to study individual clusters in different seasons. The spatial patterns of river WQ on both seasons were examined. PCA was applied to screen out the most significant water quality parameters due to spatial and seasonal variations out of a large data set. It is a data reduction process and a more conventional way of speeding up any machine learning algorithms. A reduced number of three principal components (PCs) were drawn for 20 WQPs with an explained total variance of 75.84% and 80.57% is observed in the dry and wet season, respectively. The parameters DO, EC_ Gen, P-Tot, SO4 are the most dominating parameters with PC score more than 0.8 in the dry season; similarly, TDS, K, COD, Cl, Na, SiO2 in the wet season. The different components of water quality monitoring, such as spatiotemporal patterns, scrutinize the most relevant water quality parameters and monitoring stations are well addressed in this study and could be used for the better management of the Ganga River Basin. © 2020, Springer Nature Switzerland AG.
Design, synthesis and molecular docking of 5-fluoro indole derivatives as inhibitors of PI3K/Akt signalling pathway in cervical cancer
(Elsevier B.V., 2024) Etikyala, U.; Reddyrajula, R.; Pasha, A.; Udayakumar, U.; Pawar, S.C.; Vijjulatha, V.
The PI3K/Akt signalling pathway promotes variety of cellular processes and the inhibition of PI3K/Akt signalling pathway could lead to decrease in tumour growth effectively in cancer cells. AD412, an indole derivative, is a potent immunosuppressive agent which also reported as an anticancer agent through significant inhibition of PI3K/Akt signalling pathway. In this current work, we designed and synthesized the two diverse lead series of 5-fluoro indole derivatives (6a-l and 11a-l) by specific structural modifications of AD412. In total, 24 new derivatives were evaluated for their antiproliferative activity against two cervical cancer cell lines (HeLa and SiHa) and a normal cell line (HEK 293). Among them, 6e exhibited excellent antiproliferative activity against HeLa and SiHa cells with IC50 values of 9.366 and 8.475 µM respectively, as well displayed a low toxicity profile. Further, 6e inhibited the migration and invasion of HeLa cells in a dose-dependent manner by affecting the synthesis of DNA. Moreover, the Western blot analysis revealed that 6e could inhibit cervical cancer progression by downregulating the PI3K-p85 and phosphorylation of Akt in Hela cells. In vitro mechanism studies demonstrated that 6e could significantly increase apoptosis in HeLa cells by upregulating the expression of proapoptosis related protein Bax. The binding mechanism and the activity profile of 5-fluoro indole derivatives were validated by employing molecular docking studies against the active sites of Akt and PI3K enzymes. In addition, in silico ADME and pharmacokinetic parameters prediction of compound 6e resulted in good oral bioavailability. Therefore, compound 6e could be a lead compound for further development of PI3K/Akt inhibitors and anticancer agents. © 2024

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