Facilitating career decisions through servant leadership: a moderated mediation approach
Career decidedness; Career exploration self-efficacy; Feedback-seeking behavior; Mentorship; Servant leadership; Student career development; Teaching leadership styles
Purpose In the context of management educations growing emphasis on employability and student-centered pedagogy, this study aims to explore how faculty mentors servant leadership fosters career development outcomes among postgraduate students in the discipline of management. Specifically, it examines the direct influence of servant leadership on students career exploration self-efficacy and career decidedness, the mediating role of career exploration self-efficacy and the moderating effect of students feedback-seeking behavior. Design/methodology/approach Survey data were collected from 428 final-year postgraduate students belonging to the management discipline across Indian business schools using a structured questionnaire. Structural equation modeling was employed to test the hypothesized relationships through the partial least squares approach (PLS-SEM) using SmartPLS (version 4.1.0.8) software. Findings The results demonstrate that servant leadership has a significant positive effect on students career exploration self-efficacy and career decidedness. Career exploration self-efficacy mediates this link, while feedback-seeking behavior enhances the relationship between servant leadership and self-efficacy. Practical implications The study provides insights for business schools, management educators and human resource professionals. Encouraging faculty to adopt servant leadership practices can build students confidence in exploring career paths and making informed career decisions. In addition, cultivating a culture of feedback-seeking among students can further strengthen the developmental impact of faculty mentorship and enhance self-awareness. These findings align with the goals of responsible management education and contribute to Sustainable Development Goal 4 (SDG4): Quality Education. Originality/value This study extends the career self-management (CSM) model into the context of management education and training. By highlighting the combined roles of servant leadership, career exploration self-efficacy and feedback-seeking behavior, it offers a fresh perspective on how faculty mentoring can enhance student employability and career readiness. Emerald Publishing Limited
Arun Kumar, P.; Thaliyan, Delma; Josephine Priya, L.
Higher Education, Skills and Work-based Learning;Volume;16;Issue;2;pp.347-361
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1108/HESWBL-08-2025-0374 https://www.scopus.com/pages/publications/105025453873?origin=resultslist
Arun Kumar P., School of Business and Management, Christ University, Bengaluru, India; Thaliyan D., School of Business and Management, Christ University, Bengaluru, India; Josephine Priya L., National Institute of Technology Tiruchirappalli, Tiruchirappalli, India
Gender of the Firm Owner and Export Determinants of the Firms in India: an Empirical Analysis
Binary Logistic Regression; Exports; Firm Characteristics; Gender; Policies; Resource Stock
This study aims to analyse the factors that influence the export decision of firms in India. These factors are unorthodox to the macroeconomic variables, for example, specific firm characteristics and resource stock variables that an enterprise in India may or may not have command over. The most significant of the firm characteristic variables is the gender of the firm owner. Given the binary identity of the explained variable (Export Status of a Firm), the paper uses Binary Logistic Regression. It reports the odds ratio for the individual variable interpretation. The study has also examined descriptive findings and model fit using the Hosmer. The study ceases a statistically significant relationship between the gender of the firm owner and the export decision of a firm. The odds of the firm being an exporter increases when the firm owner is a female. Further, the study also interprets several firm characteristics and resource stock variables that had an impact on the export decision of a firm in India. 2024 AESSRA. All rights reserved.
Economic Affairs (New Delhi), Vol-69, No. 1, pp. 453-461.
Arun P., Department of Economics, Christ University, Bengaluru, Bannerghatta Road Campus, Bannerghatta Main Road, Hulimavu, Karnataka, Bengaluru, India; Patavardhan R., Department of Economics, Christ University, Bengaluru, Bannerghatta Road Campus, Bannerghatta Main Road, Hulimavu, Karnataka, Bengaluru, India; Kshama A.V., Department of Economics, Christ University, Bengaluru, Bannerghatta Road Campus, Bannerghatta Main Road, Hulimavu, Karnataka, Bengaluru, India
Clustering of low-mass stars around Herbig Be star IL Cep - Evidence of 'Rocket Effect' using Gaia EDR3 ?
stars: formation; stars: kinematics and dynamics; stars: variables: T Tauri, Herbig Ae/Be
We study the formation and the kinematic evolution of the early-type Herbig Be star IL Cep and its environment. The young star is a member of the Cep OB3 association, at a distance of 798 9 pc, and has a 'cavity' associated with it. We found that the B0V star HD 216658, which is astrometrically associated with IL Cep, is at the centre of the cavity. From the evaluation of various pressure components created by HD 216658, it is established that the star is capable of creating the cavity. We identified 79 co-moving stars of IL Cep at 2-pc radius from the analysis of Gaia EDR3 astrometry. The transverse velocity analysis of the co-moving stars shows that they belong to two different populations associated with IL Cep and HD 216658, respectively. Further analysis confirms that all the stars in the IL Cep population are mostly coeval (?0.1 Myr). Infrared photometry revealed that there are 26 Class II objects among the co-moving stars. The stars without circumstellar disc (Class III) are 65 per cent of all the co-moving stars. There are nine intense H ? emission candidates identified among the co-moving stars using IPHAS H ? narrow-band photometry. The dendrogram analysis on the Hydrogen column density map identified 11 molecular clump structures on the expanding cavity around IL Cep, making it an active star-forming region. The formation of the IL Cep stellar group due to the 'rocket effect' by HD 216658 is discussed. 2021 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.
Arun R.; Mathew B.; Maheswar G.; Baug T.; Kartha S.S.; Selvakumar G.; Manoj P.; Shridharan B.; Anusha R.; Narang M.
Monthly Notices of the Royal Astronomical Society, Vol-507, No. 1, pp. 267-281.
https://doi.org/10.1093/mnras/stab2088 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114996333&doi=10.1093%2fmnras%2fstab2088&partnerID=40&md5=1c636b191e051bac653749e4edd1dc83
Arun R., 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; Maheswar G., Indian Institute of Astrophysics, Sarjapur Road, Koramangala, Bangalore, 560034, India; Baug T., S.N. Bose National Centre for Basic Sciences, Block-JD, Sector-III, Salt Lake, Kolkata, 700106, India; Kartha S.S., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Selvakumar G., Indian Institute of Astrophysics, Sarjapur Road, Koramangala, Bangalore, 560034, India; Manoj P., Tata Institute of Fundamental Research, Homi Bhabha Road, Mumbai, 400005, India; Shridharan B., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Anusha R., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Narang M., Tata Institute of Fundamental Research, Homi Bhabha Road, Mumbai, 400005, India
Fullerenes in the circumstellar medium of Herbig Ae/Be stars: insights from the Spitzer mid-infrared spectral catalog
astrochemistry; infrared: general; ISM: molecules; stars: variables: T Tauri, Herbig Ae/Be
This study presents the largest mid-infrared spectral catalogue of Herbig Ae/Be stars to date, containing the Spitzer Infrared Spectrograph spectra of 126 stars. Based on the catalogue analysis, two prominent infrared vibrational modes of C60 bands at 17.4 and 18.9 ?m are detected in the spectra of nine sources, while 7.0 ?m feature is identified in the spectra of HD 319896. The spectral index analysis and the comparison of the known sources with C60 features indicated that there exist two different types of emission classes among the sample of stars. The infrared spectra of six Herbig Ae/Be stars in this study resemble that of reflection nebulae, and their association with previously known reflection nebulae is confirmed. In the case of three Herbig Ae/Be stars, we report the tentative evidence of C60 emission features originating from the circumstellar disc or nearby diffused emission region. The detection fraction of C60 in the total HAeBe star sample is ?7 per cent, whereas the detection fraction is 30 per cent for HAeBe stars associated with nebulosity. In the catalog, C60 is exclusively present in the circumstellar regions of B type Herbig Ae/Be stars, with no evidence of its presence detected in stars with later spectral types. The present study has increased the number of young stellar objects and reflection nebulae detected with C60 multifold, which can help in understanding the excitation and formation pathway of the species. 2023 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.
Arun R.; Mathew B.; Manoj P.; Maheswar G.; Shridharan B.; Kartha S.S.; Narang M.
Monthly Notices of the Royal Astronomical Society, Vol-523, No. 2, pp. 1601-1613.
https://doi.org/10.1093/mnras/stad1511 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161702882&doi=10.1093%2fmnras%2fstad1511&partnerID=40&md5=12e06089e8d7aa423421d22d9b70416c
Arun R., Indian Institute of Astrophysics, Sarjapur Road, Koramangala, Bangalore, 560034, India, 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; Manoj P., Tata Institute of Fundamental Research, Homi Bhabha Road, Mumbai, 400005, India; Maheswar G., Indian Institute of Astrophysics, Sarjapur Road, Koramangala, Bangalore, 560034, India; Shridharan B., 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; Narang M., Tata Institute of Fundamental Research, Homi Bhabha Road, Mumbai, 400005, India, Institute of Astronomy and Astrophysics, Academia Sinica, No. 1, Section 4, Roosevelt Road, Taipei, 10617, Taiwan
On the Mass Accretion Rate and Infrared Excess in Herbig Ae/Be Stars
accretion, accretion disks; protoplanetary disks; stars: emission-line, Be; stars: pre-main sequence; stars: variables: T Tauri, Herbig Ae/Be
The present study makes use of the unprecedented capability of the Gaia mission to obtain the stellar parameters such as distance, age, and mass of HAeBe stars. The accuracy of Gaia DR2 astrometry is demonstrated from the comparison of the Gaia DR2 distances of 131 HAeBe stars with the previously estimated values from the literature. This is one of the initial studies to estimate the age and mass of a confirmed sample of HAeBe stars using both the photometry and distance from the Gaia mission. Mass accretion rates are calculated from H? line flux measurements of 106 HAeBe stars. Since we used distances and the stellar masses derived from the Gaia DR2 data in the calculation of the mass accretion rate, our estimates are more accurate than previous studies. The mass accretion rate is found to decay exponentially with age, from which we estimated a disk dissipation timescale of 1.9 0.1 Myr. The mass accretion rate and stellar mass exhibit a power-law relation of the form . From the distinct distribution in the values of the infrared spectral index, n2-4.6, we suggest the possibility of difference in the disk structure between Herbig Be and Herbig Ae stars. 2019. The American Astronomical Society. All rights reserved..
Arun R.; Mathew B.; Manoj P.; Ujjwal K.; Kartha S.S.; Viswanath G.; Narang M.; Paul K.T.
All Open Access; Bronze Open Access; Green Open Access
https://doi.org/10.3847/1538-3881/ab0ca1 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067814334&doi=10.3847%2f1538-3881%2fab0ca1&partnerID=40&md5=dcbaf7d09244e9b5ecd5d49eb750f43b
Arun R., 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; Manoj P., Department of Astronomy and Astrophysics, Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai, 400005, India; Ujjwal K., 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; Viswanath G., Department of Physics and Electronics, CHRIST (Deemed to Be University), Bangalore, 560029, India; Narang M., Department of Astronomy and Astrophysics, Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai, 400005, India; Paul K.T., Department of Physics and Electronics, CHRIST (Deemed to Be University), Bangalore, 560029, India
Discovery of an M-type companion to the Herbig Ae Star V1787 Ori
binaries: visual; stars: pre-main-sequence; stars: variables: T Tauri, Herbig Ae/Be
The intermediate-mass Herbig Ae star V1787 Ori is a member of the L1641 star-forming region in the Orion A molecular cloud. We report the detection of an M-type companion to V1787 Ori at a projected separation of 6.66 arcsec (corresponding to 2577 au), from the analysis of VLT/NACO adaptive optics Ks-band image. Using astrometric data from Gaia DR2, we show that V1787 Ori A and B share similar distance (d ?387 pc) and proper motion, indicating that they are physically associated. We estimate the spectral type of V1787 Ori B to be M5 2 from colour-spectral type calibration tables and template matching using SpeX spectral library. By fitting PARSEC models in the Pan-STARRS colour-magnitude diagram, we find that V1787 Ori B has an age of 8.1$^{+1.7}_{-1.5}$ Myr and a mass of 0.39$^{+0.02}_{-0.05}$ M. We show that V1787 Ori is a pre-main-sequence wide binary system with a mass ratio of 0.23. Such a low-mass ratio system is rarely identified in Herbig Ae/Be binary systems. We conclude this work with a discussion on possible mechanisms for the formation of V1787 Ori wide binary system. 2020 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.
Arun R.; Mathew B.; Rengaswamy S.; Manoj P.; Narang M.; Kartha S.S.; Maheshwar G.
Monthly Notices of the Royal Astronomical Society, Vol-501, No. 1, pp. 1243-1252.
https://doi.org/10.1093/mnras/staa3652 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100356179&doi=10.1093%2fmnras%2fstaa3652&partnerID=40&md5=a1decf917f96ac41f60abeda90c6c772
Arun R., 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; Rengaswamy S., Department of Physics and Electronics, Christ Deemed to Be University, Bangalore, 560029, India; Manoj P., Department of Physics and Electronics, Christ Deemed to Be University, Bangalore, 560029, India; Narang M., 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; Maheshwar G., Department of Physics and Electronics, Christ Deemed to Be University, Bangalore, 560029, India
Improving Voltage Regulation in High-Power Solar Applications
This paper presents an advanced solar-powered isolated DC-DC converter optimized for high-power applications, with a focus on precise voltage regulation at the output stage. To mitigate high-voltage stresses typically encountered in single-stage DC-DC converters, a Lossless Active Clamp Flyback circuit is integrated, offering soft switching capabilities and regenerative energy features. The proposed topology is designed using low-voltage devices, enhancing overall system efficiency. A hardware prototype rated at 2 kW has been developed to empirically validate the circuit's performance. Additionally, a novel control algorithm is introduced to further optimize the converter's operational characteristics. The proposed converter is benchmarked against existing solutions, highlighting significant improvements in terms of component count, voltage handling, and energy regeneration. The results demonstrate superior efficiency and robustness, making the system highly suitable for high-power renewable energy applications. Through this innovative approach, the converter offers substantial gains in performance and operational feasibility, especially in scenarios demanding high power density and stringent efficiency standards. 2025 IEEE.
Arun Raja, A.; Abraham, Aaron; Bhushan, S.; Tejas, R.
International Conference on Smart Systems for Applications in Electrical Sciences, ICSSES 2025;
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/ICSSES64899.2025.11009502 https://www.scopus.com/pages/publications/105008318338?origin=resultslist
Arun Raja A., Christ University, Department of Electronics and Communication Engineering, Bangalore, India; Abraham A., Christ University, Department of Electrical and Electronics Engineering, Bangalore, India; Bhushan S., Christ University, Department of Electrical and Electronics Engineering, Bangalore, India; Tejas R., Christ University, Department of Electrical and Electronics Engineering, Bangalore, India
Editorial: Probiotics for global health: advances, applications and challenges
antimicrobial activity; gut microbiota; gutbrain axis; immune modulation; metabolic health; probiotic
Arun, Karthika Bahuleyan; Nisha, Prakasan; Plessas, Stavros; Golic, Natasa; Pepoyan, Astghik
Frontiers in Microbiology;Volume;16;Issue;;Article No.;1697319;
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.3389/fmicb.2025.1697319 https://www.scopus.com/pages/publications/105020755477?origin=resultslist
Arun K.B., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Nisha P., Agro Processing and Technology Division, CSIR-National Institute for Interdisciplinary Science and Technology, Council of Scientific and Industrial Research, Trivandrum, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India; Plessas S., Laboratory of Food Microbiology, Biotechnology, and Hygiene, Department of Agriculture Development, Democritus University of Thrace, Orestiada, Greece; Golic N., Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia; Pepoyan A., Food Safety and Biotechnology Department, Scientific Research Institute of Food Science and Biotechnology, Armenian National Agrarian University, Yerevan, Armenia, International Association for Human and Animals Health Improvement, Yerevan, Armenia
Studies on dark matter dark energy and possible alternate models
The nature of dark matter (DM) and dark energy (DE) which is supposed to constitute about 95% of the energy density of the universe is still a mystery. There is no shortage of ideas regarding the nature of both. While some candidates for DM are clearly ruled out, there is still a plethora of viable particles that fit the bill. In the context of DE, while current observations favour a cosmological constant picture, there are other competing models which may be equally likely. The standard model for the formation of structure assumes that there newlineexisted small fluctuations in the early universe that grew due to gravitational instability. The origin of these fluctuations are still unclear. In this study, we proposed the role of dark matter in providing the seed for star formation in the early universe, which is supported by very recent observations. With this we set observable constraints on luminosities, temperatures, and lifetimes of the early stars with an admixture of dark matter. We also studied the effects of the background repulsive dark energy density for large scale cosmic structures. The relation, and#119872;and#8260;and#119877;2 and#8776; 1and#119892;/and#119888;and#119898;2, seems to hold true for primeval galaxies as well as those at present epoch. From this, we set constraints on the nature and evolution of dark energy. Besides, we also set constraints on the size of galaxy clusters and superclusters due to the repulsive cosmological dark energy. This could indicate as to why large scale cosmic structures much larger than and#8764;200 Mpc are not seen.This study also looked at the evolution of the concept of the cosmological constant from its inception a little over a hundred years ago when Einstein introduced the cosmological constant in his General Theory of Relativity newlinein order to obtain a static universe to conform to the philosophical view of newlinethe universe at that time to it possibly making up close to about 70% of the energy density of the universe.
Discovery of fullerenes in the shell of candidate luminous blue variable WRAY 16-232
astrochemistry; circumstellar matter; infrared: stars; stars: variables: general; stars: winds, outflows
We report the discovery of fullerene in the circumstellar environment of WRAY 16-232, a strong candidate luminous blue variable. Multiple pointings of archival Spitzer Infrared Spectrograph spectra reveal, for the first time, the presence of prominent vibrational bands of C60 at 17.4 and 18.9 ?m in a luminous blue variable (LBV) envelope, along with the strong polycyclic aromatic hydrocarbon features. These observations suggest that, despite the harsh radiative conditions, large carbonaceous molecules can form, process, and survive in the ejecta of massive stars. Complementary optical spectroscopy with South African Large Telescope High-Resolution Spectrograph shows multiple P Cygni profiles in H ?, He i, and Fe ii lines, which are indicative of a dense, expanding wind and substantial mass-loss. Furthermore, analysis of decade long photometric data shows short-term brightness variations of ?0.5 mag. These results not only reinforce the classification of WRAY 16-232 as a strong LBV candidate but also provide new insights into the mechanisms of dust formation and the chemical enrichment of the interstellar medium by massive stars. We discuss various scenarios for fullerene formation in such environments, and find that shock processing due to wind-wind interactions could be playing a vital role. The shell of WRAY 16-232 has an ideal UV field strength and the time-scales appear to match with shock processing time-scales. The results highlight the need for further high spatial/spectral resolution and temporal observations to confirm the formation and survival scenario of C60 in its shell. The Author(s) 2025. Published by Oxford University Press on behalf of Royal Astronomical Society.
Arun, R.; Prasoon, S.A.; Mathew, Blesson; Akhila, D.; Banerjee, Gourav; Shridharan, B.; Maheswar, G.; Surya, Arun
Monthly Notices of the Royal Astronomical Society;Volume;543;Issue;4;pp.3214-3228
https://doi.org/10.1093/mnras/staf1676 https://www.scopus.com/pages/publications/105018861328?origin=resultslist
Arun R., Indian Institute of Astrophysics, Sarjapur Road, Koramangala, Bangalore, 560034, India; Prasoon S.A., Indian Institute of Astrophysics, Sarjapur Road, Koramangala, Bangalore, 560034, India, Center of Excellence in Astronomy and Astrophysics, Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Mathew B., Center of Excellence in Astronomy and Astrophysics, Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Akhila D., Center of Excellence in Astronomy and Astrophysics, Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India, Instituto de Astronom y Ciencias Planetarias, Universidad de Atacama, Copayapu 485, Copiap Chile; Banerjee G., Indian Institute of Astrophysics, Sarjapur Road, Koramangala, Bangalore, 560034, India; Shridharan B., Tata Institute of Fundamental Research, Homi Bhabha Road, Mumbai, 400005, India; Maheswar G., Indian Institute of Astrophysics, Sarjapur Road, Koramangala, Bangalore, 560034, India; Surya A., Indian Institute of Astrophysics, Sarjapur Road, Koramangala, Bangalore, 560034, India
Breaking the Bias: Assessing Nudge Effectiveness in Overcoming Decision-Making Prejudices
Influencing consumer decision-making processes in the digital age is vital as E-commerce continues dominating the market. This research work explores the application of nudging to e-commerce or any digital environment involving consumer choices, investigating its efficacy in mitigating cognitive biases that affect online purchasing decisions. We employed a 2 x 2 within-group experimental design to examine how different nudges influence e-commerce choices. Data collected from 88 participants reveal that status-quo nudges can influence decision-making more than social proof nudges or salience nudges in online shopping. These results significantly impact digital marketing strategies, suggesting that carefully designed nudges can guide consumer choices by overcoming ingrained prejudices. This research also provides practical insights into consumer behaviour through subtle interventions in e-commerce settings. While nudging has been studied in offline contexts, applying it to e-commerce and digital consumer choices represents a growing area of study. 2026 by IGI Global Scientific Publishing. All rights reserved.
Arun, R.J.; Mehrolia, Sangeeta; Jeevananda, S.; Nesin, Sibin Mathew; Abhay, Rabia
Redefining Business in Volatile and Ambiguous Times;pp.283-308
https://doi.org/10.4018/979-8-3373-7917-3.ch010 https://www.scopus.com/pages/publications/105028044650?origin=resultslist
Arun R.J., Christ University, India; Mehrolia S., Christ University, India; Jeevananda S., Christ University, India; Nesin S.M., Christ University, India; Abhay R., Christ University, India
Polycyclic Aromatic Hydrocarbons in the Circumstellar Medium of Herbig Ae/Be Stars
astrochemistry; catalogs; stars: variables: T Tauri, Herbig Ae/Be; techniques: spectroscopic
We present a comprehensive mid-infrared spectroscopic survey of 124 Herbig Ae/Be stars using newly processed Spitzer/IRS spectra from the newly released CASSISjuice database. Based on prominent dust and molecular signatures (polycyclic aromatic hydrocarbons (PAHs), silicates, and hydrogenated amorphous carbons), we classify the stars into five groups. Our analysis reveals that 64% of the spectra show PAH emission, with detections peaking in the stellar effective temperature range 7000-11,000 K (B9-A5). Silicate features appear in 50% of the sample and likewise diminish at higher temperatures. Additionally, we find that future PAH studies can focus on Herbig Ae/Be stars with a spectral index n2?24 > ?1 and flared morphologies to maximize PAH detections. The 6.2 ?m PAH band is the most frequently observed in our sample, shifting blueward with increasing stellar temperature, and this is the largest sample yet used to test that peak shift. The weaker 6.0 ?m feature does not shift with 6.2 ?m, implying a distinct origin of C=O (carbonyl) or olefinic C=C stretching relative to C-C vibrations. We examined the 11.0/11.2 ?m PAH ratio using high-resolution Spitzer spectra for the first time in a sample of Herbig Ae/Be stars, finding a range of ionization conditions. This study provides a strong foundation for future JWST observations of intermediate-mass pre-main-sequence stars. 2025. National Astronomical Observatories, CAS and IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Arun, Roy; Mathew, Blesson; Shridharan, Baskaran; Ujjwal, Krishnan; Akhil, Krishna R; Gopinathan, Maheswar; Kartha, Sreeja S.
Research in Astronomy and Astrophysics;Volume;25;Issue;9;Article No.;95005;
https://doi.org/10.1088/1674-4527/ade65c https://www.scopus.com/pages/publications/105011196686?origin=resultslist
Arun R., Indian Institute of Astrophysics, Sarjapur Road, Koramangala, Bangalore, 560034, India; Mathew B., Center of Excellence in Astronomy and Astrophysics, Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Shridharan B., Tata Institute of Fundamental Research, Homi Bhabha Road, Mumbai, 400005, India; Ujjwal K., Center of Excellence in Astronomy and Astrophysics, Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Akhil K.R., Center of Excellence in Astronomy and Astrophysics, Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Gopinathan M., Indian Institute of Astrophysics, Sarjapur Road, Koramangala, Bangalore, 560034, India; Kartha S.S., Center of Excellence in Astronomy and Astrophysics, Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India
Energy and Environmental Applications of Polymer Based Mixed Metal Oxide Nanocomposites
The dependence of human lives on fossil fuels is very inevitably high for the development of society. This leads to the exploitation of these non-renewable sources, which brings forth society, which is another major issue that has to be tackled. In this study, we have focused on addressing the energy and environmental needs of society using different catalysts. The polymer based mixed metal oxide catalysts are used for the utility towards multiple applications. The energy issues can be mitigated through newlinesupercapacitance studies and water splitting studies. The water splitting studies can newlineproduce hydrogen, an efficient and eco-friendly fuel, and supercapacitors can store newlineenergy effectively. Water pollution is another problem faced by our society, which newlinereduces the availability of freshwater sources. This can be overcome by following newlineeffective and cost-efficient adsorption techniques. Another major threat that prevails in our society is corrosion. Corrosion inhibition studies are followed to tackle this issue and provide a corrosion-free environment. The various polymers used in this study are polyaniline, polypyrrole, poly (3,4-ethylenedioxythiophene), and chitosan. These polymers are mixed with different metal oxides, and the synergy between the polymers and metal oxides provides efficiency towards the mentioned applications. The successful formation of composites is confirmed using various characterization techniques. Several electrochemical studies like cyclic voltammetry, galvanostatic charge-discharge studies, electrochemical impedance spectroscopy, linear sweep voltammetry, and potentiodynamic techniques are employed to analyze the efficacy of the composites towards supercapacitance, water splitting, and corrosion inhibition studies. The batch adsorption studies are executed for water purification studies. The synthesized multifunctional composites can be used as potential candidates for addressing the energy and environmental needs of our society in a sustainable manner.
Is the effect of oil price shock asymmetric on the Indian stock market? Firm-level evidence from energy-intensive companies
Asymmetric impact; Impulse response function; Oil price shock; Panel structural vector autoregressive (P-SVAR) model; Stock market
Purpose: This paper aims to examine the asymmetric impact of the oil price increase and decrease on stock returns at the firm level. Design/methodology/approach: To ascertain the impact oil price can exert on the stock price at the firm level, this study uses panel structural vector auto regression with various linear and nonlinear measures of oil price shock on a data set, containing 1,168 firms listed in Indian stock markets. This study also considers stock index returns, Fama-French factors and inflation as control variables. Findings: This paper finds evidence that at firm level, net oil price increase and decrease have an asymmetric impact on stock returns. Other oil price shock measures, namely, shock because of oil price increase and decrease, do not show any sign of asymmetric impact on stock returns. Originality/value: The comparison of firm-level return on its response towards oil price fluctuation can give valuable insights into a firms features. 2022, Emerald Publishing Limited.
International Journal of Energy Sector Management, Vol-17, No. 4, pp. 693-716.
https://doi.org/10.1108/IJESM-05-2021-0004 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131698895&doi=10.1108%2fIJESM-05-2021-0004&partnerID=40&md5=1a0eb916c46f4022d90860011d396f26
Aruna B., Department of Economics, Christ University, Bangalore, India; Acharya R.H., School of Management, National Institute of Technology Karnataka, Mangalore, India
Factors affecting the competitive capability of small and medium women entrepreneurs
Capability; Competitive; Small and medium entrepreneurs; Women Entrepreneurship
Small and medium women entrepreneurs have a major contribution in the countrys economic development. After the implication of liberalization, privatization and globalization, all the countries are paying attention to support small and medium women entrepreneurs in order to mobilize maximum resources, generate employment opportunities and to improve competitiveness among them. However, today women entrepreneurs are still facing many problems in terms of finance, human resources, marketing, technology capability etc. These capabilities will result in the development of competitive capability of small and medium women entrepreneurs. Competitive capability is very important in order to sustain not only in the local market but also in the national and international market. Therefore, this study is an attempt to explore the factors affecting the competitive capability of small and medium women entrepreneurs. This study is surveyed 400 women entrepreneurs and obtained complete response from 384women entrepreneurs with 23 questions. The data is collected from November 2019 to January 2020. Simple random sampling technique, Cronbach's alpha and Structural Equation Modelling (SEM) technique are used in the study to obtain the research result. Finally, the study concludes that there are five factors that affect the competitive capability of small and medium women entrepreneurs with significance level 0.05 and the influence of technology capability is more compare to other capabilities on competitiveness of the women entrepreneurs. 2020 SERSC.
International Journal of Advanced Science and Technology, Vol-29, No. 5 Special Issue, pp. 574-584.
Science and Engineering Research Support Society
Aruna P., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Bangalore, India; Sunil D.B., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Bangalore, India
Academic workbench for streetlight powered by solar PV system using internet of everything (IoE)
IoE (Internet of Everything); Raspberry pi; Solar streetlight; zigbee
Renewable energy is one of the growing trend in developing countries. Rapid development of renewable energy leads to the economic benefits and reduce environmental pollution. According to current scenario 20 to 40 percent of the power generated is consumed by streetlights. The problems faced by the current street lighting systems are when there is availability of light there is no proper utilization. Sun intensity shift is not constant all the time, it varies as the climate changes. Real time monitoring and control using intelligent algorithm avoids energy wastage during day time. ZigBee as a communication protocol current and voltage values are sent and received. Base Controller (Single Board Computer) acts as an interphase between the communication protocol and the cloud account. Remote client application is developed to control and monitor streetlight. 2018 IEEE.
Proceedings of the 2018 International Conference On Communication, Computing and Internet of Things, IC3IoT 2018, pp. 186-190.
https://doi.org/10.1109/IC3IoT.2018.8668152 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064155615&doi=10.1109%2fIC3IoT.2018.8668152&partnerID=40&md5=1ce02d078cf1eaeb2eb918b6d5b2e57b
Aruna S., Department of Electrical and Electronics Engineering, Christ University, Kanminike, Bengaluru, 560074, India; Venkataswamy R., Department of Electrical and Electronics Engineering, Christ University, Kanminike, Bengaluru, 560074, India
Malpractice Detection in Examination Hall using Deep Learning
deep learning; Feature extraction; Human monitoring; Malpractice detection; YOLO
Various institutions administer tests at designated examination locations, chosen third-party and approved centers, and have established standards for installing CCTV cameras and conducting frisking under the supervision of designated personnel. Some institutions are using online proctoring, which enables students to take exams from any location. In all of the aforementioned scenarios, human monitoring is conducted, and maintaining a high level of vigilance may be challenging due to administrative oversight or intentional allowance of malpractice for personal gain. The malpractice detection may be attributed to acts like as plagiarism, unauthorized sharing of papers, and non-verbal communication. The study is conducted by capturing the dataset in the classroom of Christ University. The proposed approach is based on the YOLO framework. The movies are processed in real time to identify hand rotation, paper extraction, and classify the motion. The accuracy for the Head_right class is significantly higher than that of the Head_left class. The system is implemented using the programming language Python and has the potential for future expansion to provide real-time monitoring. 2024 IEEE.
Aruna S.K.; Madhumitha A.; Shanmugam S.K.; Thangavel S.K.; Chang M.
Proceedings - 2024 2nd International Conference on Inventive Computing and Informatics, ICICI 2024, pp. 286-291.
https://doi.org/10.1109/ICICI62254.2024.00054 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206000518&doi=10.1109%2fICICI62254.2024.00054&partnerID=40&md5=621c8dff24fefd1f6d27ebb12a719188
Aruna S.K., CHRIST University, School of Engineering and Technology, Bangalore, Department of Computer Science and Engineering, India; Madhumitha A., CHRIST University, School of Engineering and Technology, Bangalore, Department of Computer Science and Engineering, India; Shanmugam S.K., Ashland University, Department of Mathematics and Computer Science, OH, United States; Thangavel S.K., Amrita Vishwa Vidyapeetham, Amrita School of Computing, Coimbatore, Department of Computer Science and Engineering, India; Chang M., Athabasca University, School of Computing Information and Systems, Canada
An Advanced and Ideal Method for Tumor Detection and Classification from MRI Image Using Gamma Distribution and Support Vector Machine
Diagnosis process; Gamma distribution; Tumor
As indicated by a measurable report distributed by the registry of central brain tumor at United States (CBTRUS), roughly 59,550 individuals were recently diagnosed to have essential benign and essential harmful brain tumors in 2017. Besides, in excess of 91,000 individuals, in the United States alone, were living with an essential harmful cerebrum tumor and 367,000 were living with an essential kind brain tumor. The task of detecting the position of the tumor in the body of the patient is the starting point for a medical treatment in the diagnosis process. The main aim of this study is to design a computer system, which is able to detect the tumor presence in the digital images of the brain in the patient and to accurately define its borderline. In this proposed model, gamma distribution method is used for training, testing, and for the feature extraction process, while SVM, support vector machine is used for the classification process. Most of the algorithms find it difficult to segment the tumors that were present in the edges. But with the help of gamma distribution along with the use of edge analysis, it is easier to identify those tumor areas that are present in the edges, thus making it easier for the preprocessing process. Gamma distribution also provides us with high accuracy, and it can also point the exact location of the tumor than compared to other algorithms. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Aruna S.K.; Sambandam R.K.; Thaiyalnayaki S.; Vetriveeran D.
Smart Innovation, Systems and Technologies, Vol-313, pp. 439-447.
Springer Science and Business Media Deutschland GmbH
Aruna S.K., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University)Kengeri Campus, Karnataka, Bangalore, India; Sambandam R.K., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University)Kengeri Campus, Karnataka, Bangalore, India; Thaiyalnayaki S., Department of Computer Science and Engineering, School of Computing, Bharath Institute of Higher Education and Research (Deemed to be University), Tamilnadu, Chennai, India; Vetriveeran D., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University)Kengeri Campus, Karnataka, Bangalore, India
A unique adventure - unity based 3D game
3D Modelling; Animations; Environment; FPS; Game
The number of gamers are increasing day by day and as a result the gaming industry has seen a huge growth. There was a curiosity to get the in-depth detail so as to how a game is developed. The final year project was a great opportunity to explore this field and to make something that would be fun as well as useful. The proposed work gives the detailed description about the entire process of game development. A game is created with three different levels. Each level comes with a particular set of objectives. The objectives of each level need to be attained in order to proceed to the next level. The environment in the game resembles the Christ Kengeri campus. For that, 3D model of Christ Kengeri campus is designed. 3D modeling is done in Unity and Blender software platform. A* is the search algorithm that has been used for pathfinding. The languages that Unity uses to operate with are objectoriented scripting languages. Scripting languages have its own syntax and the primary parts are called functions, variables and classes. Also each level has its own coding and is not linked with any other. In each level a new character is introduced. 2019, Institute of Advanced Scientific Research, Inc. All rights reserved.
Aruna S.K.; Sindhanaiselvan K.; Kumaresan M.
Journal of Advanced Research in Dynamical and Control Systems, Vol-11, No. 2 Special Issue, pp. 1953-1959.
Institute of Advanced Scientific Research, Inc.
Aruna S.K., Faculty of Engineering, Department of Computer Science and Engineering, Christ University, Bengaluru, 560074, Karnataka, India; Sindhanaiselvan K., Department of Computer Science and Engineering, MVJ College of Engineering, Near ITPB, Whitefiled, Bangalore, 560067, Karnataka, India; Kumaresan M., School of Computing Science and Engineering, Galgotias University, Plot No. 2, Yamuna Expy, Opposite, Buddha International Circuit, Sector 17A, Greater Noida, 203201, Uttar Pradesh, India
Computerized grading of brain tumors supplemented by artificial intelligence
Artificial bee colony; Brain tumor; Magnetic resonance imaging; Medical image segmentation; Support vector machine
For effective diagnosis of health conditions, there is a need to process medical images to obtain meaningful information. The diagnosis of brain tumors begins with magnetic resonance imaging (or MRI) scan. This is followed by segmentation of the medical images so obtained which can prove cumbersome if it were to be performed manually. Determining the best approach to do segmentation remains challenge among multiple computerized approaches. This paper combines both the identification and classification of tumors from the MRI results and is backed by a cloud-based framework to provision the same. The phase of extraction of features includes the utilization of a Hadoop framework and Gabor filter along with variations in terms of orientation and scale. Artificial bee colony algorithm and support vector machine classifier have been used to designate the degree of optimal features and categorize the same. The grading of brain tumors from MRI images can be fulfilled by the aforementioned approach. The said approach is believed to deliver promising results in terms of accuracy, which has also been verified experimentally. 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
Aruna S.K.; Sindhanaiselvan K.; Madhusudhanan B.
Soft Computing, Vol-24, No. 10, pp. 7827-7833.
Aruna S.K., Faculty of Engineering, Department of Computer Science and Engineering, Christ (Deemed to be University), Bengaluru, 560074, Karnataka, India; Sindhanaiselvan K., Department of Computer Science and Engineering, MVJ College of Engineering, Bengaluru, 560067, Karnataka, India; Madhusudhanan B., Department of Computer Science and Engineering, Er Perumal Manimekalai College of Engineering, Hosur, Krishnagiri, 635117, Tamilnadu, India