Establishment of Mucuna pruriens (L.) DC. callus and optimization of cell suspension culture for the production of anti-Parkinsons drug: L-DOPA
Cell suspension culture; In vitro; L-DOPA; Mucuna pruriens; Optimization
It has become a huge challenge to satisfy the emerging demand for levo-3,4-dihydroxyphenylalanine (L-DOPA), an anti-Parkinsons drug in the international drug market. This is attributed to the conventional methods of extraction from the natural sources of Mucuna spp., which has a low germination rate, less viable seeds, and an irritating, itching trichomes on the pods. The need for an alternative method with continuous supply of L-DOPA without affecting the natural biodiversity has been achieved through in vitro procedures. However, there has not been a systematic approach to optimize the cultural conditions for the maximum productivity. Hence, in this study, we aim at optimizing the cultural conditions for high biomass and L-DOPA production. Various plant growth regulators such as auxins (indole acetic acid, indole butyric acid, picloram [Pic], naphthalene acetic acid, and 2,4-Dichlorophenoxyacetic acid), cytokinins (kinetin, benzylaminopurine, 2-isopentenyl adenine, and thidiazuron), and their combinations have been experimented to figure out the best combination to induce callus. At the same time, various factors such as growth kinetics, different media (MS, Gamborgs-B5, Chus-N6, and Nitsch and Nitsch), media strength (0.5, 1.0, and 2.0X), effect of different macro elements and their strength (0, 0.5,1, 1.5, 2, and 3X), inoculum density, different hydrogen ion concentration (pH), ammonium/nitrate concentration, different sucrose concentrations (010%), and other carbon sources have been investigated in detail for optimizing the cell suspension culture. It was found out that 0.5 mg/L Pic gave the best results for callus induction. With respect to biomass, 6-week growth period (135.7 g/L fresh weight [FW]), 1.0X MS media (126.87 g/L FW), 1.5X magnesium sulfate (266.3 g/L FW), ammonium/nitrate ratio of 21.57/18.8 mM (131.4 g/L FW), pH of 6.0 (129.47 g/L FW), 100 g/L of inoculum (222.2 g/L FW), 3% sucrose concentration (125.6 g/L FW), and 3% glucose (183.4 g/L FW) as other carbon sources were found to give the highest biomass. In terms of L-DOPA production, 3-week growth period (5.90 mg/g dry weight [DW]), 0.5X B5 medium (4.27 mg/g DW), 2.0X calcium chloride (5.06 mg/g DW), ammonium/nitrate ratio of 21.57/18.8 mM (3.44 mg/g DW), pH 6.5 (4.02 mg/g DW), inoculum density of 30 g/L (4.79 mg/g DW), and 2% sucrose (5.17 mg/g DW) resulted in a higher L-DOPA yield. 2022 Rakesh and Praveen.
Journal of Applied Biology and Biotechnology, Vol-10, No. 5, pp. 125-135.
https://doi.org/10.7324/JABB.2022.100516 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135172447&doi=10.7324%2fJABB.2022.100516&partnerID=40&md5=fffcc812d3b0e4d982a277b0f1dce68c
Rakesh B., Department of Life Sciences, CHRIST (Deemed To Be University), Karnataka, Bengaluru, India; Praveen N., Department of Life Sciences, CHRIST (Deemed To Be University), Karnataka, Bengaluru, India
Esther reimagined: feminist essence in Sara Josephs narrative
biblical women; feminism; liberation; voice and agency of women
Gynocentric approaches to biblical women uncover narratives of liberation and empowerment. These perspectives highlight the gaps and omissions in the representation of women within the overarching metanarrative of the Bible. Sara Josephs novel, Esther, serves as a feminist reimagining of the biblical story of Esther, offering a pluralistic lens through which to examine the experiences and lives of women against the backdrop of patriarchy. This paper utilises the feminist hermeneutic method to critically engage with the narrative, drawing on the feminist frameworks established by scholars such as Elizabeth Fiorenza and Esther Fuchs. It argues that biblical women can be reinterpreted as positive role models, saviours, heroines, and vital contributors to an extraordinary narrative of survival and redemption. 2024 Informa UK Limited, trading as Taylor & Francis Group.
International Studies in Catholic Education
Davis A.M., Department of English and Cultural Studies, Christ Deemed University, Bangalore, India; Abhaya N.B., Department of English and Cultural Studies, Christ Deemed University, Bangalore, India
International Studies in Catholic Education;Volume;18;Issue;1;pp.86-95
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1080/19422539.2024.2418003 https://www.scopus.com/pages/publications/85209688572?origin=resultslist
Estimating Function Approach for Modelling Non-Gaussian Time Series
ANN; Autoregressive; Estimating function
In this study, an effective technique for estimating parameters of autoregressive models with non-Gaussian errors has been presented. For non-Gaussian error distributions, classical techniques like maximum likelihood estimation (MLE) are found to be computationally intractable. To address this issue, an estimating function (EF) technique has been utilized, which effectively estimates the model parameters by taking advantage of the error structure. Specifically, AR(1) with logistic errors has been used, and the optimal estimating functions have been derived by constructing martingale-based estimating equations tailored to logistic errors. A hybrid AR(1)-ANN model has also been developed to integrate the strengths of both linear AR(1) and nonlinear ANN models. The robustness and efficiency of the pro-posed approach in parameter estimation have been investigated using simulations, comparing its mean squared error (MSE) and bias to those of MLE. The applicability of this approach has been further demonstrated using both simulated and real datasets. The results show that, in the presence of non-Gaussian errors, the EF method provides a computationally efficient and reliable alternative to classical estimation methodologies. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Lecture Notes in Networks and Systems;Volume;1354 LNNS;pp.257-271
Springer Science and Business Media Deutschland GmbH
https://doi.org/10.1007/978-981-96-4880-1_20 https://www.scopus.com/pages/publications/105019299183?origin=resultslist
Thomas A., Department of Statistics and Data Science, CHRIST (Deemed to be University), Bengaluru, India; John N., Department of Statistics and Data Science, CHRIST (Deemed to be University), Bengaluru, India
Estimation of ground state and excited state dipole moments of a novel Schiff base derivative containing 1, 2, 4-triazole nucleus by solvatochromic method
Dipole moment; Solvatochromic effect; Solvent polarity correlation method; TD-DFT calculation
A novel schiff base derivative containing 1, 2, 4-triazole moiety (NBTMPA) has been synthesized from 4- [1, 2, 4] triazol-1-ylmethyl-phenylamine and 4-nitrobenzaldehyde in the presence of glacial acetic acid in an ethanolic medium. The absorbance and fluorescence spectra of (4-nitro-benzylidene)-(4- [1, 2, 4] triazol-1-ylmethyl-phenyl)-amine (NBTMPA) were recorded in various solvents to investigate their solvatochromic behaviour. Dipole moments of the two electronic states of NBTMPA were calculated from solvatochromic spectral shifts. These were correlated with the refractive index (n) and dielectric constant (?) of various solvents. Theoretical calculations were performed to estimate the excited state dipole moment on the basis of different solvent correlation methods, like the Bilot-Kawski, Bakhshiev, Lippert-Mataga, Kawski-Chamma-Viallet and Reichardt methods. The dipole moment in the excited state was found to be higher than that in the ground state due to a substantial redistribution of electron densities and charges. Using a multiple regression analysis, the solvent-solute interactions were determined by means of Kamlet Taft parameters (?, ?, ??). Computational studies were performed by Gaussian 09 W software using a time-dependent density functional theory (TDDFT) in order to calculate the atomic charges and frontier molecular orbital energies in the solvent phase. The calculations indicated that the dipole moment of the molecule in an excited state is much higher than that in a ground state. The chemical stability of NBTMPA was determined by means of chemical hardness (?) using HOMO-LUMO energies. The reactive centres in the molecule were also identified by molecular electrostatic potential (MESP) 3D plots as a result of a TDDFT computational analysis. 2015 Elsevier B.V.
Alphonse R.; Varghese A.; George L.; Nizam A.
Journal of Molecular Liquids, Vol-215, pp. 387-395.
https://doi.org/10.1016/j.molliq.2015.12.050 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952342514&doi=10.1016%2fj.molliq.2015.12.050&partnerID=40&md5=f044afc4a8461b2cbff00885ebbd2c2e
Alphonse R., Department of Chemistry, Christ University, Hosur Road, Bangalore, 560029, India; Varghese A., Department of Chemistry, Christ University, Hosur Road, Bangalore, 560029, India; George L., Department of Chemistry, Christ University, Hosur Road, Bangalore, 560029, India; Nizam A., Department of Chemistry, Christ University, Hosur Road, Bangalore, 560029, India
Estimation of Ground-State and Singlet Excited-State Dipole Moments of Substituted Schiff Bases Containing Oxazolidin-2-one Moiety through Solvatochromic Methods
ETN; Ground and excited state dipole moments; Kamlet and Catalan parameters; Solvatochromic method; Stokes shift
Absorption and fluorescence studies on novel Schiff bases (E)-4-(4-(4-nitro benzylideneamino)benzyl)oxazolidin-2-one (NBOA) and (E)-4-(4-(4-chlorobenzylidene amino)benzyl)oxazolidin-2-one (CBOA) were recorded in a series of twelve solvents upon increasing polarity at room temperature. Large Stokes shift indicates bathochromic fluorescence band for both the molecules. The photoluminescence properties of Schiff bases containing electron withdrawing and donating substituents were analyzed. Intramolecular charge transfer behavior can be studied based on the influence of different substituents in Schiff bases. Changes in position and intensity of absorption and fluorescence spectra are responsible for the stabilization of singlet excited-states of Schiff base molecules with different substituents, in polar solvents. This is attributed to the Intramolecular charge transfer (ICT) mechanism. In case of electron donating (?Cl) substituent, ICT contributes largely to positive solvatochromism when compared to electron withdrawing (?NO2) substituent. Ground-state and singlet excited-state dipole moments of NBOA and CBOA were calculated experimentally using solvent polarity function approaches given by LippertMataga, Bakhshiev, Kawskii-Chamma-Viallet and Reichardt. Due to considerable ?- electron density redistribution, singlet excited-state dipole moment was found to be greater than ground-state dipole moment. Ground-state dipole moment value which was determined by quantum chemical method was used to estimate excited-state dipole moment using solvatochromic correlations. Kamlet-Abboud-Taft and Catalan multiple linear regression approaches were used to study non-specific solute-solvent interaction and hydrogen bonding interactions in detail. Optimized geometry and HOMO-LUMO energies of NBOA and CBOA have been determined by DFT and TD-DFT/PCM (B3LYP/6-311G (d, p)). Mulliken charges and molecular electrostatic potential have also been evaluated from DFT calculations. 2016, Springer Science+Business Media New York.
Journal of Fluorescence, Vol-27, No. 1, pp. 151-165.
ISSN: 10530509; PubMed ID: 27704234; CODEN: JOFLE
https://doi.org/10.1007/s10895-016-1942-9 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84990852944&doi=10.1007%2fs10895-016-1942-9&partnerID=40&md5=f9b73aea6cc8a60e55a0cf8e546c695e
Kumari R., Department of Chemistry, Christ University, Bengaluru, 560 029, India; Varghese A., Department of Chemistry, Christ University, Bengaluru, 560 029, India; George L., Department of Chemistry, Christ University, Bengaluru, 560 029, India
Estimation of secured wireless sensor networks and its significant observation for improving energy efficiency using cross- learning algorithms
Wireless sensor networks (WSNs) have as of late been created as a stage for various significant observation and control applications. WSNs are continuously utilized in different applications, for example, therapeutic, military, and mechanical segments. Since the WSN is helpless against assaults, refined security administrations are required for verifying the information correspondence between hubs. Because of the asset limitations, the symmetric key foundation is considered as the ideal worldview for verifying the key trade in WSN. The sensor hubs in the WSN course gathered data to the base station. Despite the fact that the specially appointed system is adaptable with the variable foundation, they are exposed to different security dangers. Grouping is a successful way to deal with vitality productivity in the system. In bunching, information accumulation is utilized to diminish the measure of information that streams in the system. 2021 by IGI Global.
Rao S.S.; Butchi Raju K.; Nalajala S.; Vatambeti R.
Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies, pp. 450-467.
Rao S.S., Mahatma Gandhi Institute of Technology, India; Butchi Raju K., GRIET, India; Nalajala S., Department of Computer Science Engineering, KLEF, Guntur, Andhra Pradesh, India; Vatambeti R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India
Estimation of spectroscopic parameters and TL glow curve analysis of Eu3+-activated CaY2O4 phosphor
The solid-state reaction method was utilised to create a down-conversion phosphor in an air environment in CaY2O4:Eu3+ nanocrystalline material. The calcination temperature was set at 1000 C, and the sintering temperature was set at 1300 C. Following annealing, confirmation of the crystallinity quality of the phosphor was accomplished by the use of X-ray diffraction analysis. The particle size was predicted to be 43.113 nm using Scherrer's formula. To produce down-conversion luminescence spectra, an excitation wavelength of 247 nm was applied with a fluorescence spectrophotometer. The PL got increasingly intense as the concentration of the dopant increased. The maximum intensity was measured at 2.0 mol% of Eu3+ ion, which gradually decreased as the concentration increased because of concentration quenching. To analyse spectrophotometric peak determinations, the approach developed by the Commission Internationale de l'lairage (CIE) was used. Thermoluminescence (TL) glow curve analysis of the CaY2O4:Eu3+-doped phosphor manufactured here revealed a wide TL centred at 225 C, which comprised of so many peaks that may be extracted by the computerised glow curve deconvolution (CGCD) approach using glow-fit software. The associated kinetic parameters were then determined. The prepared phosphor may be useful for application in various display devices upon excitation by 247 nm; the prominent 613 nm peak of the Eu3+ ion (5D0 ? 7F2) electric dipole transition features a red component. CaY2O4:Eu3+ phosphors show promise as materials for potential use in phosphor-converted white LEDs in the field of solid-state lighting technology. The linear connection that the TL glow curve has with UV dose provides evidence for its possible use in dosimetry. 2023 The Royal Society of Chemistry.
Ram T.; Verma N.; Kaur J.; Misra A.K.; Dubey V.; Dubey N.; Michalska-Doma?ska M.; Saji J.; Yadav R.S.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.1039/d3ra03200k https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171333662&doi=10.1039%2fd3ra03200k&partnerID=40&md5=38772b1a259683993a04d9a744509a63
Ram T., Department of Physics, Government Vishwanath Yadav Tamaskar Post Graduate Autonomous College, C.G., Durg, India; Verma N., Department of Physics, Government Vishwanath Yadav Tamaskar Post Graduate Autonomous College, C.G., Durg, India; Kaur J., Department of Physics, Government Vishwanath Yadav Tamaskar Post Graduate Autonomous College, C.G., Durg, India; Misra A.K., Department of Physics, Government Vishwanath Yadav Tamaskar Post Graduate Autonomous College, C.G., Durg, India; Dubey V., Department of Physics, North Eastern Hill University (NEHU), Meghalaya, Shillong, 493022, India; Dubey N., Department of Physics, Government Vishwanath Yadav Tamaskar Post Graduate Autonomous College, C.G., Durg, India; Michalska-Doma?ska M., Institute of Optoelectronics, Military University of Technology, Kaliskiego 2, Mazovia, Warsaw, 00-908, Poland; Saji J., Department of Sciences and Humanities, School of Engineering and Technology CHRIST (Deemed to be University), Bangalore, India; Yadav R.S., Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India
Estimation of state of charge considering impact of vibrations on traction battery pack
Battery pack; Coulomb counting method; Electric vehicles traction; Kalman filter
Interest towards electric vehicle adoption is on the rise due to the lower running and maintenance cost it offers, along with zero tailpipe emissions. Range anxiety is one of the only concern that affects the adoption of electric vehicles. The state of charge of the traction battery pack has to be accurately determined and provided to the user to avoid range anxiety. Minute battery parameters has to be considered to improve the accuracy of the state of charge determination. In order to overcome the problem of range anxiety, an innovative strategy that takes into account how vibrations affect the performance of EV batteries is developed in this research. By doing this, the state of charge estimation precision is improved and thereby raises the drivers faith in electric vehicles. The impacts and vibrations felt on the traction battery pack during driving would lead to heat generation. The heat generated is found to be highest when the vibrations resonate at the natural frequencies of the traction battery pack. The natural frequency of the battery pack is considered when the battery is kept in the battery chamber of the two-wheeler electric vehicle. The vibrations at natural frequency produces heat which is accounted for when the state of charge is determined. To obtain accurate state of charge estimation, a Kalman filter-based approach is used. The Kalman filter-based estimation uses the conventional methods which are the open circuit voltage method and the Coulomb counting method to improve the estimation process along with the consideration of the heat component due to vibrations and impact. The vibration analysis is performed using MATLAB, while the state of charge determination is implemented in hardware and the Kalman estimation done using Python. The system is modelled on an electric two-wheeler platform and the testing is done to compare the state of charge accuracy of the open circuit voltage method, the Coulomb counting method and the Kalman filter-based estimation approach. The inclusion of the vibrational heat analysis for State of Charge estimation in the hardware testing of the electric two-wheeler provides an accurate state of charge value. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.
Chacko P.J.; Krishna S.M.; Nuvvula R.S.S.; Stonier A.A.; Kumar P.P.; Ogale J.; Khan B.
Electrical Engineering, Vol-106, No. 2, pp. 1327-1338.
Chacko P.J., Department of Electrical and Electronics Engineering, CHRIST (Deemed to Be University), Bangalore, India; Krishna S.M., Manager-Research, TCI-IIMB Supply Chain Sustainability Lab, Supply Chain Management Centre, Indian Institute of Management, Bangalore, India; Nuvvula R.S.S., Department of Electrical and Electronics Engineering, NMAM Institute of Technology, NITTE (Deemed to be University), Karnataka, Karkala, 574110, India; Stonier A.A., School of Electrical Engineering, Vellore Institute of Technology, Vellore, India; Kumar P.P., Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam, India; Ogale J., Department of Electronics Engineering, Samrat Ashok Technological Institute, MP, Vidisha, 464001, India; Khan B., Department of Electrical and Computer Engineering, Hawassa University, Hawassa, Ethiopia, Department of Electrical and Electronic Engineering Technology, University of Johannesburg, Johannesburg, South Africa
Estimation of stellar parameters and mass accretion rate of classical TTauri stars from LAMOST DR6
accretion; classical T Tauri stars; Emission-line star
Classical T Tauri stars (TTS) are low-mass pre-main sequence stars with an active circumstellar environment. In this work, we present the identification and study of 260 classical TTS using LAMOST Data Release 6, among which 104 stars are newly identified. We distinguish classical TTS from giants and main-sequence dwarfs based on the log g values, and the presence of H ? emission line and infrared excess that arises from the circumstellar accretion disk. We estimated the mass and age of 210 stars using the Gaia colormagnitude diagram. The age is from 0.1 to 20 Myr, where 90% of the stars have age <10 Myr and the mass ranges between 0.11 and 1.9 M? . From the measured H ? equivalent widths, we homogeneously estimated the mass accretion rates for 172 stars, with most values ranging from 10 - 7 to 10 - 10M? yr - 1 . The mass accretion rates are found to follow a power law distribution with the mass of the star, having a relation of the form M?acc?M?1.430.26 , in agreement with previous studies. 2023, Indian Academy of Sciences.
Nidhi S.; Mathew B.; Shridharan B.; Bhattacharyya S.; Edwin D.; Kartha S.S.
Journal of Astrophysics and Astronomy, Vol-44, No. 2
Nidhi S., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Mathew B., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Shridharan B., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Bhattacharyya S., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Edwin D., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Kartha S.S., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India
Estimation of System Reliability Based on Inverted Exponentiated Pareto Distribution Under a Progressively First-Failure Censored Scheme With Application
inverted exponentiated Pareto distribution; Monte Carlo simulation; multicomponent stressstrength reliability; progressive first-failure censoring
This article explores and derives the estimation of the multicomponent stressstrength (MSS) reliability parameter, assuming that the samples are coming from the inverted exponentiated Pareto distribution using a progressively first-failure censored scheme. To estimate the MSS reliability, both classical and Bayesian approaches are adopted. In the classical approach, the maximum likelihood and the asymptotic confidence interval estimation methods are used. The Bayes estimates with their corresponding highest posterior density credible interval estimates are obtained under the Bayesian approach, under the linear exponential loss function under both the noninformative and gamma informative priors. In addition, to compute the Bayes estimates, Markov chain Monte Carlo methods are used. To compare the efficacy of the different estimation strategies adopted in this paper, a Monte Carlo simulation study is carried out. To demonstrate the applicability of the proposed methodology, two real-life scenarios resulting/arising from two different carbon fiber data sets arere-analyzed. 2025 The Author(s). Quality and Reliability Engineering International published by John Wiley & Sons Ltd.
Kumar, Kapil; Kumari, Anita; Ghosh, Indranil
Quality and Reliability Engineering International;Volume;41;Issue;7;pp.3197-3219
All Open Access; Hybrid Gold Open Access
https://doi.org/10.1002/qre.70017 https://www.scopus.com/pages/publications/105010084933?origin=resultslist
Kumar K., Department of Statistics, Chaudhary Charan Singh University, Meerut, India; Kumari A., Department of Statistics & Data Science, School of Sciences, Christ University, Ghaziabad, India; Ghosh I., Department of Mathematics and Statistics, University of North Carolina, Wilmington, NC, United States
Estimation of the black hole spin in LMC X-1 using AstroSat
accretion, accretion discs; black hole physics; X-rays: binaries; X-rays: individual: stars
LMC X-1, a persistent, rapidly rotating, extra-galactic, black hole X-ray binary (BHXB) discovered in 1969, has always been observed in its high soft state. Unlike many other BHXBs, the black hole mass, source distance, and binary orbital inclination are well established. In this work, we report the results of simultaneous broad-band spectral studies of LMC X-1 carried out using the data from Soft X-ray Telescope and Large Area X-ray Proportional Counter aboard AstroSat as observed on 2016 November 26 and 2017 August 28. The combined spectrum was modelled with a multicolour blackbody emission (diskbb), a Gaussian along with a Comptonization component (simpl) in the energy range 0.7-30.0 keV. The spectral analysis revealed that the source was in its high soft state (? = 2.67+0.24-0.24 and ? = 2.12+0.19-0.20) with a hot disc (kTin = 0.86+0.01-0.01 and kTin = 0.87+0.02-0.02). Thermal disc emission was fitted with a relativistic model (kerrbb) and spin of the black hole was estimated to be 0.93+0.01-0.01 and 0.93+0.04-0.03 (statistical errors) for the two Epochs through X-ray continuum-fitting, which agrees with the previous results. 2020 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society.
Mudambi S.P.; Rao A.; Gudennavar S.B.; Misra R.; Bubbly S.G.
Monthly Notices of the Royal Astronomical Society, Vol-498, No. 3, pp. 4404-4410.
https://doi.org/10.1093/mnras/staa2656 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096912732&doi=10.1093%2fmnras%2fstaa2656&partnerID=40&md5=bbaebf546cf1f505cafd8cb9d0b2bac5
Mudambi S.P., Department of Physics and Electronics, CHRIST (Deemed to Be University), Bangalore Central Campus, Bengaluru, 560029, India; Rao A., Department of Physics and Astronomy, Faculty of Physical Sciences and Engineering, University of Southampton, Southampton, S017 1BJ, United Kingdom; Gudennavar S.B., Department of Physics and Electronics, CHRIST (Deemed to Be University), Bangalore Central Campus, Bengaluru, 560029, India; Misra R., Inter-University Centre for Astronomy and Astrophysics, Ganeshkind, Pune, 411007, India; Bubbly S.G., Department of Physics and Electronics, CHRIST (Deemed to Be University), Bangalore Central Campus, Bengaluru, 560029, India
Estimation of the size and structure of the broad line region using Bayesian approach
galaxies: active; galaxies: nuclei; galaxies: photometry; galaxies: Seyfert
Understanding the geometry and kinematics of the broad line region (BLR) of active galactic nuclei (AGN) is important to estimate black hole masses in AGN and study the accretion process. The technique of reverberation mapping (RM) has provided estimates of BLR size for more than 100 AGN now; however, the structure of the BLR has been studied for only a handful number of objects. Towards this, we investigated the geometry of the BLR for a large sample of 57 AGN using archival RM data. We performed systematic modelling of the continuum and emission line light curves using a Markov chain Monte Carlo method based on Bayesian statistics implemented in PBMAP (Parallel Bayesian code for reverberation-MAPping data) code to constrain BLR geometrical parameters and recover velocity integrated transfer function. We found that the recovered transfer functions have various shapes such as single-peaked, double-peaked, and top-hat suggesting that AGN have very different BLR geometries. Our model lags are in general consistent with that estimated using the conventional cross-correlation methods. The BLR sizes obtained from our modelling approach is related to the luminosity with a slope of 0.583 0.026 and 0.471 0.084 based on H ? and H ? lines, respectively. We found a non-linear response of emission line fluxes to the ionizing optical continuum for 93 per cent objects. The estimated virial factors for the AGN studied in this work range from 0.79 to 4.94 having a mean at 1.78 1.77 consistent with the values found in the literature. 2021 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.
Mandal A.K.; Rakshit S.; Stalin C.S.; Petrov R.G.; Mathew B.; Sagar R.
Monthly Notices of the Royal Astronomical Society, Vol-502, No. 2, pp. 2140-2157.
https://doi.org/10.1093/mnras/stab012 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108011440&doi=10.1093%2fmnras%2fstab012&partnerID=40&md5=f6952b6e1c68162ab45a90ec0112010c
Mandal A.K., Department of Physics, Christ (Deemed to Be University), Hosur Road, Bangalore, 560 029, India, Indian Institute of Astrophysics, Block Ii, Koramangala, Bangalore, 560 034, India; Rakshit S., Aryabhatta Research Institute of Observational Sciences, Manora Peak, Nainital, 263002, India, Finnish Centre for Astronomy with Eso (FINCA), University of Turku, Quantum, Vesilinnantie 5, University of Turku, 20014, Finland; Stalin C.S., Indian Institute of Astrophysics, Block Ii, Koramangala, Bangalore, 560 034, India; Petrov R.G., Observatoire de la Ce d'Azur, Cnrs, Laboratoire Lagrange, UniversitCe d'Azur, Parc Valrose, B. H. Fizeau, Nice, F-06108, France; Mathew B., Department of Physics, Christ (Deemed to Be University), Hosur Road, Bangalore, 560 029, India; Sagar R., Indian Institute of Astrophysics, Block Ii, Koramangala, Bangalore, 560 034, India
Estimation of Vehicle Distance Based on Feature Points Using Monocular Vision
Distance estimation; Monocular vision; Stereo vision
In this digital era safety and security have the highest precedence, the advanced driver assistance system is the latest trend and where many challenges are open for researchers. Vehicle to vehicle distance estimation is one of the most important challenges to provide the security and safety alerts for the driver. In order to achieve this, image of the front vehicle is captured using the single camera under monocular vision to estimate the vehicle distance. Then three key steps are designed to estimate the vehicle distance: extracting and locating the key features of the vehicle, characteristic triangle is drawn between those features to calculate pixel area and develop the measuring formula to calculate the distance. For efficient feature extraction and localizing of the feature position, conventional AdaBoost algorithm is utilized to find the strong features for scalable samples. Distance measurement formulation is used to derive the correlation between the pixel area and distance by considering the different parameters from the prototype of pinhole camera, camera standardization and plotting of area. Formula is developed to estimate the optimum moving distance between vehicles to vehicle. After the experimental analysis, the accuracy rate is improved and time complexity satisfies the precision. 2019 IEEE.
Arunkumar K.L.; Danti A.; Manjunatha H.T.
2019 International Conference on Data Science and Communication, IconDSC 2019
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/IconDSC.2019.8816996 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072773098&doi=10.1109%2fIconDSC.2019.8816996&partnerID=40&md5=227744393de0167637af1464e2d6e2f3
Arunkumar K.L., Department of Computer Applications, Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India; Danti A., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India; Manjunatha H.T., Department of Computer Applications, Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India
Ethical AI in HR: Navigating the Data-driven Frontier
Bias mitigation; Data privacy; Ethical AI governance; Explainable AI; HRs; Multidisciplinary collaboration
The integration of artificial intelligence (AI) in human resources (HRs) presents significant opportunities while raising ethical dilemmas for an organisation. This chapter examines challenges in AI-enhanced HR concerning bias mitigation, data protection, transparency and governance through literature review, and real-life examples. Through a mixture of academic research and industry use cases including Amazon's AI hiring tool, HireVue video interview analysis, IBM Watson Career Coach and Unilever recruitment powered through AI study analyses AI impact on HR functions and approaches to address ethical concerns. This research offers an advanced methodological framework for ethical implementation of AI in HR which is based upon eight foundational components including interdisciplinary collaboration, bias minimisation, transparency and explainability, ethics-based privacy policies governance, continuous monitoring improving engagement with stakeholders, and adaptive trust-enhancing policy. The model weights a set of quantitative suggestion, new metrics such as Team Integration Score (TIS) for assessing cross-functional relationship success. Synthesis of multiple academic sources and case studies mentioned the chapter plan on responsible AI implementation in HR through stakeholder engagement, transparency practices, and review mechanisms. This approach balances technological advancement and ethical considerations within AI-driven HR processes. The significance of this chapter is to bring together academic sources and experts from the industry to provide a complete guide of integrating global best practices for implementing ethical AI. The proposed framework serves as a valuable tool for HR AI practitioners and researchers offering a structured approach to the ethical AI deployment while remaining adaptable to emerging challenges and opportunities in this rapidly growing area. 2026 by A.R. Deepti, B. Manimekala, Farzeen Basith, Vivek K. and Vijayanandh Rajamanickam. All rights reserved.
Deepti, A.R.; Manimekala, B.; Basith, Farzeen; Vivek, K.; Rajamanickam, Vijayanandh
Innovate to Integrate: Data-Driven Management and TechStrat Fusion Unveiled;pp.19-36
https://doi.org/10.1108/978-1-83708-460-920251002 https://www.scopus.com/pages/publications/105024282793?origin=resultslist
Deepti A.R., Department of MCA, Acharya Institute of Graduate Studies, Bengaluru, India; Manimekala B., Department of Computer Science, Christ University, Bengaluru, India; Basith F., Department of MCA, Acharya Institute of Graduate Studies, Bengaluru, India; Vivek K., Department of MCA, Acharya Institute of Graduate Studies, Bengaluru, India; Rajamanickam V., Department of Computing and Information Technology, The University of the West Indies, West Indies, Jamaica
Ethical AI in Humanitarian Contexts: Challenges, Transparency, and Safety
This chapter elaborates on how emerging technologies for artificial intelligence (AI) can help create social change and solve worldwide problems. The chapter brings to light the issue of ethical matters and responsible AI practices that should be considered to avoid technology usage by the vulnerable population to harden already present inequalities. This chapter also examines the role of AI in ensuring that quality education is accessible to all, in addressing poverty through innovative approaches, and in the amplification quest of human rights advocacy by marginalized groups. This chapter presents a complete picture of the impact of AI on humanitarianism, exemplifying the devices of new horizons and emphasizing the necessity of responsible and inclusive applications. This chapter provides findings and advice for researchers, practitioners, policymakers, and all interested parties who are involved in using the new technologies to make their world fairer and well-sustained. The chapter aims to comprehend the AI-humanitarianism nexus and simultaneously proclaim safety measures and transparency for the sake of social upheaval. 2025 selection and editorial matter, Adeyemi Abel Ajibesin and Narasimha Rao Vajjhala; individual chapters, the contributors.
AI for Humanitarianism: Fostering Social Change Through Emerging Technologies, pp. 155-166.
Chanda N., Department of Media Studies, Christ University, Bangalore, India; Gupta I., Department of Media Studies, Christ University, Bangalore, India
AI for Humanitarianism: Fostering Social Change Through Emerging Technologies;pp.155-166
https://doi.org/10.1201/9781003479109-12 https://www.scopus.com/pages/publications/85216653361?origin=resultslist
Ethical and Legal Dimensions of Drones and Robots in Smart Business: Navigating the Autonomous Innovations in Logistics
Use of drones and robots are slowly but surely making their way into people's personal and professional lives. International companies are spending millions of dollars on drone research and development for logistics. Companies like Google, Amazon, DHL, and Walmart are actively experimenting on autonomous systems and robotics. Drones and robots are used in the business strategies of these organizations to ensure last-mile delivery, which involves transporting packages straight from a depot to the ultimate customer, maintaining inventory, loading and unloading of trucks, order processing, and the like. But the usage of these advancements poses some critical ethical and legal issues. Authorities must pay attention to these challenges and difficulties in order to ensure their meaningful usage. This chapter, in this perspective, overviews the most significant legal and ethical concerns pertaining to the use of autonomous vehicles in smart businesses and logistics and provides recommendations for their effective utilization in future. 2026 by IGI Global Scientific Publishing. All rights reserved.
Navigating Technological Advancement in the VUCA and BANI World;pp.259-286
https://doi.org/10.4018/979-8-3373-2240-7.ch013 https://www.scopus.com/pages/publications/105027358572?origin=resultslist
Pandey A., School of Law, Christ University, Bangalore, India; Joseph J., School of Law, Christ University, Bangalore, India
Ethical and Privacy Considerations in GAN-Based Security
Generative Adversarial Networks (GANs) have caused a great transformation in a number of fields, including anomaly detection, healthcare, data encryption, deep learning (DL), machine learning (ML), and entertainment. They are also employed in various security applications. This chapter explores mainly the privacy and ethical concerns associated with the use of GANs. Although GANs have enormous possibilities for security applications such as biometrics, intrusion detection, and data augmentation, implementing them requires careful consideration regarding privacy and ethical issues. GANs ability to produce remarkably lifelike deepfakes poses a risk since it might promote social engineering attacks. Moreover, these discrepancies may be increased by biased security programs that arise from biases in training data. Even with all of the potential benefits, ethical and privacy concerns must be prioritized for the safe and reliable application of GANs in security. This chapter also lays the foundation of GAN-based applications in Cybersecurity. 2026 selection and editorial matter, E. Chandra Blessie, Pethuru Raj, and B. Sundaravadivazhagan; individual chapters, the contributors.
Resmi, K.R.; Joseph, Amitha; George, Bindu; Job, Dhanya; Cyriac, Sebastian
Generative Adversarial Networks for Cybersecurity:: Protecting Data and Networks;pp.235-245
https://doi.org/10.1201/9781003652991-17 https://www.scopus.com/pages/publications/105040316894?origin=resultslist
Resmi K.R., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Joseph A., Department of Computer Science, St Alberts College (Autonomous), Kerala, Ernakulam, India; George B., Department of Computer Science, Nirmala College, Kerala, Muvattupuzha, India; Job D., Department of Computer Applications, BPC College, Kerala, Piravom, India; Cyriac S., Department of Information Technology, Southeast College, Weyburn, SK, Canada
Ethical and Societal Implications of Artificial Intelligence in Space Mining
Artificial Intelligence (AI); Economic Efficiency; Ethical Considerations; Governance; Space Mining
The advent of Artificial Intelligence (AI) in space mining marks a pivotal shift in the exploration and utilization of extraterrestrial resources. This paper presents a thematic analysis of the ethical, societal, technological, economic, and environmental implications of integrating AI in space mining operations. Through topic modeling of relevant literature, five key themes were identified: AI integration and ethical considerations, economic efficiency and equity, technological innovations and advancements, international collaboration and governance, and environmental sustainability and planetary protection. These themes highlight the potential of AI to revolutionize space mining, enhancing efficiency and enabling the extraction of valuable resources beyond Earth. However, they also underscore the need for robust ethical frameworks, equitable economic models, international cooperation, and sustainable practices to address the multifaceted challenges posed by this frontier. The paper concludes with recommendations for future research and policy-making, emphasizing the importance of inclusive, collaborative approaches to ensure the responsible and beneficial advancement of space mining. 2024 IEEE.
TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
Yadav R.K., Christ University, Bengaluru, India; Somu C.S., Christ University, Bengaluru, India