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                <text>Insights on the Optical and Infrared Nature of MAXI J0709-159: Implications for High-Mass X-ray Binaries</text>
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                <text>Circumstellar disks; Classical Be stars; HMXB; Photometry</text>
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                <text>In our previous study (Bhattacharyya et al., 2022), HD 54786, the optical counterpart of the MAXI J0709-159 system, was identified to be an evolved star, departing from the main sequence, based on comparisons with non-X-ray binary systems. In this paper, using color-magnitude diagram (CMD) analysis for High-Mass X-ray Binaries (HMXBs) and statistical t-tests, we found evidence supporting HD 54786s potential membership in both Be/X-ray binaries (BeXRBs) and supergiant X-ray binaries (SgXBs) populations of HMXBs. Hence, our study points towards dual optical characteristics of HD 54786, as an X-ray binary star and also belonging to a distinct evolutionary phase from BeXRB towards SgXB. Our further analysis suggests that MAXI J0709-159, associated with HD 54786, exhibits low-level activity during the current epoch and possesses a limited amount of circumstellar material. Although similarities with the previously studied BeXRB system LSI +61? 235 (Coe et al., 1994) are noted, continued monitoring and data collection are essential to fully comprehend the complexities of MAXI J0709-159 and its evolutionary trajectory within the realm of HMXBs.  2024 Societe Royale des Sciences de Liege. All rights reserved.</text>
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                <text>Bhattacharyya S.; Mathew B.; Banerjee G.; Sindhu G.; Muneer S.; Kumar S.P.; Joshi S.</text>
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                <text>Bulletin de la Societe Royale des Sciences de Liege, Vol-93, No. 2, pp. 636-647.</text>
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                <text>Bhattacharyya S., Department of Physics and Electronics, CHRIST (Deemed to be University, Hosur Main Road, Bangalore, India; Mathew B., Department of Physics and Electronics, CHRIST (Deemed to be University, Hosur Main Road, Bangalore, India; Banerjee G., Department of Physics and Electronics, CHRIST (Deemed to be University, Hosur Main Road, Bangalore, India; Sindhu G., Department of Physics, St. Thomas College, Kerala, Kozhencherry, 689641, India; Muneer S., Indian Institute of Astrophysics, Koramangala, Bangalore, India; Kumar S.P., Indian Institute of Astrophysics, Koramangala, Bangalore, India; Joshi S., Aryabhatta Research Institute of Observational Sciences (ARIES), Nainital, India</text>
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                <text>Decoding the X-Ray Flare from MAXI J0709-159 Using Optical Spectroscopy and Multiepoch Photometry</text>
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                <text>We present a follow-up study on the recent detection of two X-ray flaring events by MAXI/Gas Slit Camera observations in soft and hard X-rays from MAXI J0709-159 in the direction of HD 54786 (LY CMa), on 2022 January 25. The X-ray luminosity during the flare was around 1037 erg s-1 (MAXI), which got reduced to 1032 erg s-1 (NuSTAR) after the flare. We took low-resolution spectra of HD 54786 from the 2.01 m Himalayan Chandra Telescope and the 2.34 m Vainu Bappu Telescope (VBT) facilities in India, on 2022 February 1 and 2. In addition to H? emission, we found emission lines of He i in the optical spectrum of this star. By comparing our spectrum of the object with those from the literature we found that He i lines show variability. Using photometric studies we estimate that the star has an effective temperature of 20,000 K. Although HD 54786 is reported as a supergiant in previous studies, our analysis favors it to be evolving off the main sequence in the color-magnitude diagram. We could not detect any infrared excess, ruling out the possibility of IR emission from a dusty circumstellar disk. Our present study suggests that HD 54786 is a Be/X-ray binary system with a compact object companion, possibly a neutron star.   2022. The Author(s). Published by the American Astronomical Society.</text>
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                <text>Bhattacharyya S.; Mathew B.; Ezhikode S.H.; Muneer S.; G. S.; G. M.; Arun R.; Anilkumar H.; Banerjee G.; Kumar S P.; Kartha S.S.; Paul K.T.; Velu C.</text>
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                <text>Astrophysical Journal Letters, Vol-933, No. 2</text>
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                <text>Bhattacharyya S., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Main Road, Bangalore, India; Mathew B., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Main Road, Bangalore, India; Ezhikode S.H., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Main Road, Bangalore, India; Muneer S., Indian Institute of Astrophysics, Koramangala, Bangalore, India; G. S., Indian Institute of Astrophysics, Koramangala, Bangalore, India; G. M., Indian Institute of Astrophysics, Koramangala, Bangalore, India; Arun R., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Main Road, Bangalore, India, Indian Institute of Astrophysics, Koramangala, Bangalore, India; Anilkumar H., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Main Road, Bangalore, India; Banerjee G., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Main Road, Bangalore, India; Kumar S P., Indian Institute of Astrophysics, Koramangala, Bangalore, India; Kartha S.S., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Main Road, Bangalore, India; Paul K.T., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Main Road, Bangalore, India; Velu C., Indian Institute of Astrophysics, Koramangala, Bangalore, India</text>
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                <text>Intelligent Environmental Data Monitoring for Pollution Management discusses evolving novel intelligent algorithms and their applications in the area of environmental data-centric systems guided by batch process-oriented data. Thus, the book ushers in a new era as far as environmental pollution management is concerned. It reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, followed by a review of intelligent tools and techniques which can be used in this direction. In addition, it discusses novel intelligent algorithms for effective environmental pollution data management that are on par with standards laid down by the World Health Organization. To learn more about Elseviers Series, Intelligent Data-Centric Systems, please visit this link: https://www.elsevier.com/books-and-journals/book-series/intelligent-data-centric-systems-sensor-collected-intelligence.  2021 Elsevier Inc. All rights reserved.</text>
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                <text>Intelligent Environmental Data Monitoring for Pollution Management, pp. 1-323.</text>
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                <text>Bhattacharyya S., CHRIST (Deemed to be University), Bangalore, India; Mondal N.K., Environmental Chemistry Laboratory, Department of Environmental Science, The University of Burdwan, West Bengal, Bardhaman, India; Platos J., VB - Technical University, Ostrava, Czech Republic; Snl V., VB - Technical University, Ostrava, Czech Republic; Krer P., VB - Technical University, Ostrava, Czech Republic</text>
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                <text>The present study explores the complexities of motherhood in Bengali middle-class families, where mothers are traditionally viewed as primary caregivers. Despite societal shifts and increased female workforce participation, mothers still face pressure to prioritize intensive mothering. Through qualitative analysis, the research explores how employed mothers balance work and childcare responsibilities, shedding light on their agency and empowerment within patriarchal structures. Findings reveal a nuanced landscape where mothers navigate societal expectations while striving for autonomy. Support systems, changing socio-economic dynamics, and technological advancements contribute to reshaping maternal roles. Mothers, though not uniformly identifying as feminists, challenge traditional norms, embracing an egalitarian approach to mothering. The study underscores the resilience of mothers in negotiating patriarchal constraints, highlighting their capacity to foster empowerment for themselves and their children within familial and societal contexts. This qualitative study conducted in-depth interviews with 37 employed mothers representing diverse professions and roles.  2025 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Bhaumik S., Department of Sociology &amp;amp; Social Work, Christ (Deemed to be University), Bangalore, India; Sahu S., Department of Sociology &amp;amp; Social Work, Christ (Deemed to be University), Bangalore, India</text>
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                <text>Motherhood in India has been understood primarily by placing mothers in the domestic space. A mother is constructed as a protector and the complete caregiver of her children. But there have been significant changes in the status of Indian women recently. In the 21st century, with suitable qualifications and employment opportunities, women have the choice to be economically independent and career-driven, which has a profound impact on their roles and responsibilities as protectors and caregivers in the home. It is essential to study and document how women in this generation have started to redefine their roles and negotiate what a mothers duties are at home. This study aims to make a systematic inquiry to understand the issues and challenges faced by employed mothers in everyday life and how they balance their career and childcare activities. Researchers investigate this through a qualitative study on mothers employed in different types of professions in the city of Kolkata. Data was collected by conducting in-depth interviews of around twenty-nine urban, upper-middle class employed mothers from different professional backgrounds to have a set of diverse narratives about their experiences and struggles. The key findings of this study provide an insight into the challenges that mothers face and their balancing mechanisms. Such studies have the scope to motivate many employed mothers by presenting some cases of women who have succeeded in breaking the stereotypical ideas of motherhood and are redefining their stories in more humane terms.  2021. Journal of International Womens Studies.</text>
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                <text>Journal of International Women's Studies, Vol-22, No. 6, pp. 66-75.</text>
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                <text>Bridgewater State College</text>
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                <text>Bhaumik S., Christ University, Bangalore, India; Sahu S., Sociology at Christ University, Bangalore, India</text>
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                <text>Performance of pradhan mantri fasal bima yojana: Perception of farmers in rural bangalore</text>
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                <text>Crop Insurance; Financial Security; PradhanMantriFasalBimaYojana (PMFBY); Qualitative Study; Thematic Analysis</text>
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                <text>Crop insurance is an agricultural development program supporting the sustainability of farmers. PradhanMantriFasalBimaYojana crop insurance scheme was introduced to provide insurance cover, financial stability, innovative and modern methods of agricultural practice. The study primarily focuses on the reasons for enrollment, benefits, challenges and suggestions regarding the PradhanMantriFasalBimaYojana with respect to farmers of Rural Bengaluru. A qualitative thematic analysis using a primary study reveals PMFBY as a source of financial security and financial stability with reduced premium that increases the confidence level among the farmers.  2019 SERSC.</text>
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                <text>Bhavana G.; Jayashree M.; Valarmathi B.</text>
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                <text>International Journal of Advanced Science and Technology, Vol-29, No. 3, pp. 4741-4753.</text>
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                <text>Bhavana G., CHRIST(Deemed to be University), India; Jayashree M., CHRIST(Deemed to be University), India; Valarmathi B., CHRIST(Deemed to be University), India</text>
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                <text>Internet of Things Enabled Device Fault Prediction System Using Machine Learning</text>
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                <text>Cloud computing; Home appliance; Internet of Things; Machine learning; Naive Bayes; Sensors</text>
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                <text>Internet of Things (IOT) started as a niche market for hobbyists and has evolved into a huge industry. This IoT is convergence of manifold technologies, real-time analytics, machine learning and Artificial Intelligence. It has given birth to many consumer needs like home automation, prior device fault detection, health appliances and remote monitoring applications. Programmed recognition and determination of different kinds of machine disappointment is a fascinating process in modern applications. Different sorts of sensors are utilized to screen flaws that is discovers vibration sensors, sound sensors, warm sensors, infrared cameras, light cameras, and other multispectral sensors. The modern devices are becoming ubiquitous and pervasive in day to day life. This device is need for reliable and predicate algorithms. This article is primarily emphases on the prediction of faults in real life appliances making our day to day life easier. Here, the database of the device includes previous faults which are restored in online by using cloud computing technology. This will help in the prediction of the faults in the devices that are to be ameliorated. It additionally utilizes Nae Bayes calculation for shortcoming location in the gadgets. The proposed model of this article is involves the monitoring of each and every home appliance through internet and thereby detect faults without much of human intervention.  Springer Nature Switzerland AG 2020.</text>
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                <text>Bhavana K.; Nekkanti V.; Jayapandian N.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-98, pp. 920-927.</text>
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                <text>Bhavana K., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Kengeri Campus, Bangalore, India; Nekkanti V., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Kengeri Campus, Bangalore, India; Jayapandian N., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Kengeri Campus, Bangalore, India</text>
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