Design of Smart and Secured Healthcare Service Using Deep Learning with Modified SHA-256 Algorithm
CNN-LSTM; deep learning; DNN; encryption; hospital management system; SHA-256 algorithm
Background: The modern era of human society has seen the rise of a different variety of diseases. The mortality rate, therefore, increases without adequate care which consequently causes wealth loss. It has become a priority of humans to take care of health and wealth in a genuine way. Methods: In this article, the authors endeavored to design a hospital management system with secured data processing. The proposed approach consists of three different phases. In the first phase, a smart healthcare system is proposed for providing an effective health service, especially to patients with a brain tumor. An application is developed that is compatible with Android and Microsoft-based operating systems. Through this application, a patient can enter the system either in person or from a remote place. As a result, the patient data are secured with the hospital and the patient only. It consists of patient registration, diagnosis, pathology, admission, and an insurance service module. Secondly, deep-learning-based tumor detection from brain MRI and EEG signals is proposed. Lastly, a modified SHA-256 encryption algorithm is proposed for secured medical insurance data processing which will help detect the fraud happening in healthcare insurance services. Standard SHA-256 is an algorithm which is secured for short data. In this case, the security issue is enhanced with a long data encryption scheme. The algorithm is modified for the generation of a long key and its combination. This can be applicable for insurance data, and medical data for secured financial and disease-related data. Results: The deep-learning models provide highly accurate results that help in deciding whether the patient will be admitted or not. The details of the patient entered at the designed portal are encrypted in the form of a 256-bit hash value for secured data management. 2022 by the authors.
Mohanty M.D.; Das A.; Mohanty M.N.; Altameem A.; Nayak S.R.; Saudagar A.K.J.; Poonia R.C.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.3390/healthcare10071275 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137307467&doi=10.3390%2fhealthcare10071275&partnerID=40&md5=23de04b41c0748b057e7553da3732d04
Mohanty M.D., Department of Electrical Engineering, Campus 1, Technische Universit, Hamburg, 21073, Germany; Das A., Department of Electronics and Communication Engineering, Institute of Technical Education and Research (ITER), Siksha O Anusandhan (Deemed to be University, Bhubaneswar, 701030, India; Mohanty M.N., Department of Electronics and Communication Engineering, Institute of Technical Education and Research (ITER), Siksha O Anusandhan (Deemed to be University, Bhubaneswar, 701030, India; Altameem A., Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, 11533, Saudi Arabia; Nayak S.R., Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, 201303, India; Saudagar A.K.J., Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University, Bangalore, 560029, India
Synthesis, in vitro and theoretical studies on newly synthesized deep blue emitting 4-(p-methylphenylsulfonyl-5-aryl/alkyl)oxazole analogues for biological and optoelectronic applications
4-Ts-Oxazoles; Antimicrobial activity; Photophysical properties; Single crystal XRD
In the present study, a series of 4,5-di-substituted oxazole derivatives (compounds 2a-p) were synthesized, using a novel methodology for the simultaneous determination of their biological and optoelectronic applications. Among the screened molecules, compounds 2j, 2 l and 2o showed very good antimicrobial potencies with MICs up to 1 g/mL. Furthermore, the photophysical parameters were estimated using theoretical and experimental techniques for optoelectronic applications. The excited-state dipole moment being higher than that of the ground state, investigated using solvato-chromatic method showed a redistribution of the electron densities in the excited state for the fluorophores. The HOMO-LUMO energies of the fluorophores estimated by using density functional theory (DFT) are found to be in good agreement with the experimental values. The electrophilic and nucleophilic sites were also recognized with the help of molecular electrostatic potential 3D plots using time-dependent-DFT computational analysis. The specific and non-specific interactions between the solutesolvent were analyzed by multiple linear regression analysis using Kamlet-Abound-Taft and Catalan parameters. Further, the global chemical reactivity descriptor parameter was also calculated. The photophysical properties of the fluorophores suggest that these may be considered as potential probes for OLED, solar cell, and chemosensor applications. 2022 Elsevier B.V.
Prabhala P.; Sutar S.M.; Manjunatha M.R.; Pawashe G.M.; Gupta V.K.; Naik L.; Kalkhambkar R.G.
https://doi.org/10.1016/j.molliq.2022.119520 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131821419&doi=10.1016%2fj.molliq.2022.119520&partnerID=40&md5=d4d530497588499982d5c66f4bdf00fa
Prabhala P., Department of Chemistry, Karnatak University's Karnatak Science College, Karnataka, Dharwad, 580001, India; Sutar S.M., Department of Chemistry, Karnatak University's Karnatak Science College, Karnataka, Dharwad, 580001, India; Manjunatha M.R., Department of Studies in Chemistry, University of Mysore, Karnataka, Manasagangotri, Mysore, 570005, India; Pawashe G.M., Department of Chemistry, Karnatak University's Karnatak Science College, Karnataka, Dharwad, 580001, India; Gupta V.K., Post-Graduate Department of Physics, University of Jammu, Jammu & Kashmir, Jammu Tawi, 180006, India; Naik L., Department of Physics and Electronics, CHRIST (Deemed to be university), Bangalore, 560029, India; Kalkhambkar R.G., Department of Chemistry, Karnatak University's Karnatak Science College, Karnataka, Dharwad, 580001, India
Model of cross-cultural adjustment and view of life-career among Japanese expatriate spouses in India
Cross-cultural adjustment; Demands; Expatriate spouses; Resources; View of life-career
In the globalized economy, it is necessary to consider expatriates cross-cultural adjustment, which is affected by their spouses, whose cross-cultural adjustment should not be neglected. We examined a model of cross-cultural adjustment among Japanese spouses in India. We hypothesized that demands (e.g., cultural differences, language immaturity) and resources (e.g., spouses personality/agreeableness, perceived social support) negatively and positively affect cross-cultural adjustment, respectively. In turn, cross-cultural adjustment positively affects subjective happiness and intent to stay. In addition, cross-cultural adjustment consists a part of life-career perspective for expatriate spouses who quit their job when go to abroad. To examine the hypotheses, we use a mixed methods approach (QUAN?QUAL) that uses multiple variables and sampling to collect quantitative and qualitative data over two phases sequentially. First, from August to October 2018, a survey using a web-based questionnaire was conducted in four areas in India: New Delhi, Mumbai, Chennai, and Bengaluru. Responses from 105 participants, who are parents of Japanese school children or members of a parenting support group were received. Second, from October to December 2018, the interview data for 17 participants were collected at Bengaluru. To confirm the hypothesized model, we tested a structural equations modeling (SEM) analysis. Additionally, the interview transcript data were analyzed with a modified version of the Grounded Theory approach (M-GTA). The Results demonstrated that Japanese expatriate spouses who had difficulties in communicating in English and felt large cultural differences, decreased their adjustment, their subjective happiness was lowered, and they wanted to return to their home country early. However, the more the personality was cooperative and compassionate, and the more they worked to adjust to their international life; their subjective happiness increased. Additionally, expatriate spouses obtained the concept of view of life-career. The view of life-career included cross-cultural adjustment. Cross-cultural adjustment affects positive view of life-career that will lead to smooth re-employment after returning to Japan. 2020, Springer Science+Business Media, LLC, part of Springer Nature.
Current Psychology, Vol-41, No. 9, pp. 5935-5947.
Matsumoto M., Department of Psychology, CHRIST(Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India, Aichi Mizuho Junior College, 13, 2, Shunko, Mizuho, Aichi, Nagoya, 467-0867, Japan; Gopal B., Department of Psychology, CHRIST(Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India
Virtual Reality in Tourism: A Research Note
destination branding; research note; sustainability; tourism marketing; virtual reality
Technology inclusions have been deriving disruptive changes in the tourism industry. The most sought-after digital tool virtual reality (VR) has been highly preferred by destination marketers in formulating their marketing strategies and executions and branding their destinations. Though VR inclusion started early, the pandemic crisis has added effectiveness to the vibrance of the industrys offerings. However, the research of VR inclusions in tourism marketing needs wider evidence that would eventually facilitate the thereof in identifying and understanding of the emerging tourists micro-segments based on their motives, duality of destination management and branding, and the relevance for conceiving memorable experiences. This research note indicated three such critical aspects VR in upscaling tourism, VR as a marketing strategy for sustainability, and VR as reality or reality for tourists. The note also indicated the major areas that can be researched from the given perspectives of VR for tourism marketing and destination branding. 2022, Associated Management Consultants Pvt. Ltd. All rights reserved.
Shankar R S.; Renju Koshy E.; Katherin Mathew S.
Prabandhan: Indian Journal of Management, Vol-15, No. 7, pp. 36-41.
Associated Management Consultants Pvt. Ltd.
https://doi.org/10.17010/pijom/2022/v15i7/170790 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134606003&doi=10.17010%2fpijom%2f2022%2fv15i7%2f170790&partnerID=40&md5=4155de8b5abda2989854887ac2c2201c
Shankar R S., IIMBx Digital Initiative, Indian Institute of Management Bangalore, Indian Institute of Management Bangalore, P-202, Second Floor, Faculty Block D, Bilekahalli, Opp. Apollo Hospital, Karnataka, Bangalore, 560 076, India; Renju Koshy E., Department of Professional Studies, Christ University Bangalore, Hosur Rd, Bhavani Nagar, S.G. Palya, Karnataka, Bengaluru, 560 029, India; Katherin Mathew S., Department of Management Studies, Musaliar College of Engineering and Technology, Musaliar College PO, Kerala, Pathanamthitta, Pathanamthitta, 689 653, India
An Efficient Sorting Algorithm for Capacitor Voltage Balance of Modular Multilevel Converter With Space Vector Pulsewidth Modulation
Analogue sorting; capacitor voltage balancing; modular multilevel converters (MMCs); space vector pulsewidth modulation (SVPWM)
Thisarticle presents an efficient analogue sorting algorithm for balancing the submodule (SM) capacitor voltages of modular multilevel converter (MMC). The proposed analogue sorting algorithm offers the advantage of fast convergence rate without any need of recursive loops for the implementation on embedded devices. It can be easily implemented with combinational logic operations on field programmable gate array (FPGA) and provides less hardware and computational overhead. The functionality and performance of the proposed analogue sorting algorithm is evaluated with the simulation model of three phase five-level MMC in MATLAB/Simulink environment. The real time implementation of the proposed sorting algorithm with the SM capacitor voltage balancing strategy is implemented on Altera/Cylone - I (EP1C12Q240C8N) FPGA. A five-level continuous space vector pulsewidth modulation (CSVPWM) is realized on a PIC microcontroller (PIC18F452). A down-scaled model of single-phase five-level MMC is designed and constructed to investigate the reliable and stable operation of MMC with the proposed analogue sorting algorithm and SVPWM method. Simulation and experimental results are presented for validation. 1986-2012 IEEE.
IEEE Transactions on Power Electronics, Vol-37, No. 8, pp. 9254-9265.
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/TPEL.2022.3160665 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126708135&doi=10.1109%2fTPEL.2022.3160665&partnerID=40&md5=78bd2b363c7cbfe0d01827bcc9f6e2ce
Muthavarapu A.K., Aditya Engineering College (A), Electrical and Electronics Engineering Department, Surampalem, 533437, India; Biswas J., Christ University, Department of Computer Science, Bengaluru, 560029, India; Barai M., National Institute of Technology, Department of Electrical Engineering, Kozhikode, Calicut, 673601, India
ON 3-DIMENSIONAL QUASI-PARA-SASAKIAN MANIFOLDS AND RICCI SOLITONS
3-dimensional quasi-para-Sasakian manifold; Einstein manifold; Gradient Ricci soliton; Ricci soliton
The purpose of this paper is to study 3-dimensional quasi-para-Sasakian manifolds and Ricci solitons. First, we prove that a 3-dimensional non-paracosymplectic quasi-para-Sasakian manifold is an ?-Einstein manifold if and only if the structure function ? is constant. Further, it is shown that a Ricci soliton on a 3-dimensional quasi-para-Sasakian manifold with ?=constant is expanding. Moreover, we show that if a 3-dimensional quasi-para-Sasakian manifold admits a Ricci soliton, then the flow vector field V is Killing, and the quasi-para-Sasakian structure can be obtained by a homothetic deformation of a para-Sasakian structure. Besides, we study gradient Ricci solitons and prove that if a 3-dimensional non-paracosymplectic quasi-para-Sasakian manifold with ?=constant admits a gradient Ricci soliton, then the manifold is an Einstein one. Also, a suitable example of a 3-dimensional quasi-para-Sasakian manifold is constructed to verify our results. 2022 A. Razmadze Mathematical Institute of Iv. Javakhishvili Tbilisi State University. All rights reserved.
Prakasha D.G.; Veeresha P.; Venkatesha V.; Kumara H.A.
Transactions of A. Razmadze Mathematical Institute, Vol-176, No. 2, pp. 245-254.
A. Razmadze Mathematical Institute of Iv. Javakhishvili Tbilisi State University
Prakasha D.G., Department of Mathematics, Faculty of Science, Davangere University, Shivagangothri, Davangere, 577 007, India; Veeresha P., Department of Mathematics, Christ (Deemed to be University), Bengaluru, 560 029, India; Venkatesha V., Department of Mathematics, Kuvempu University, Shivamogga, 577 451, India; Kumara H.A., Department of Mathematics, Kuvempu University, Shivamogga, 577 451, India, BMS Institute of Technology and Management Yelahanka, Bangalore, 560064, India
domatic number; Domination; transitivity
For a graph G = (V,E), a partition ? = (V1,V2,..,Vk) of the vertex set V is a transitive partition if Vi dominates Vj whenever i < j. The transitivity Tr(G) of a graph G is the maximum order of a transitive partition of V. For any positive integer k, we characterize the smallest tree with transitivity k and obtain an algorithm to determine the transitivity of any tree of finite order. 2022 World Scientific Publishing Company.
Discrete Mathematics, Algorithms and Applications, Vol-14, No. 6
Samuel L.C., Department of Mathematics, Christ (Deemed to Be University), Karnataka, Bangalore, India; Joseph M., Department of Mathematics, Christ (Deemed to Be University), Karnataka, Bangalore, India
Evolutionary multiple instance boosting framework for weakly supervised learning
Boosting; Differential evolution (DE); MILBoost; Multiple instance learning (MIL)
Multiple instance boosting (MILBoost) is a framework which uses multiple instance learning (MIL) with boosting technique to solve the problems regarding weakly labeled inexact data. This paper proposes an enhanced multiple boosting frameworkevolutionary MILBoost (EMILBoost) which utilizes differential evolution (DE) to optimize the combination of weak classifier or weak estimator weights in the framework. A standard MIL dataset MUSK and a binary classification dataset Hastie_10_2 are used to evaluate the results. Results are presented in terms of bag and instance classification error and also confusion matrix of test data. 2021, The Author(s).
Bhattacharjee K.; Pant M.; Srivastava S.
Complex and Intelligent Systems, Vol-8, No. 4, pp. 3131-3141.
Bhattacharjee K., Department of Applied Science and Engineering, Indian Institute of Technology Roorkee, Uttarakhand, 247667, India; Pant M., Department of Applied Science and Engineering, Indian Institute of Technology Roorkee, Uttarakhand, 247667, India; Srivastava S., Christ University, Uttar Pradesh, Ghaziabad, 201003, India
Influence of Economic Benefits and Social Interaction on Buyer Participation in a Rural Retail Institution: Study of an Indian Periodic Market
economic factors; periodic market; retail format; Rural retailing; social influence
Retail institutions offer economic and social benefits to the participants in a market. It is expected that in a less developed economy the social factors influence economic behaviour much more than in developed economies. The rural markets offer increased opportunities for the influence of social factors on economic transactions. This study examined the case of a rural periodic market. To ensure reliability the case study protocol questions reflected propositions developed on the research questions. It was expected that the participants would exhibit the influence of social relations in their market transactions. The results indicated that the economic benefits than social considerations influenced participant behaviour in the rural periodic market. Contrary to expectations not all consumers in a less developed economy exhibit social embeddedness in economic behaviour. Implications are for policymakers involved in planning and regulating rural markets. They need to take into consideration the differing behaviour of consumer groups in designing or regulating retail markets. This study examining the social embeddedness of buyer behaviour in the rural retail context of a less developed economy is presumably the first. 2021 Institute of Rural Management, Anand, Gujarat, India.
International Journal of Rural Management, Vol-18, No. 2, pp. 232-249.
Velayudhan S.K., School of Business and Management, Christ University, Karnataka, Bengaluru, India
The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package*
The Astropy Project supports and fosters the development of open-source and openly developed Python packages that provide commonly needed functionality to the astronomical community. A key element of the Astropy Project is the core package astropy, which serves as the foundation for more specialized projects and packages. In this article, we summarize key features in the core package as of the recent major release, version 5.0, and provide major updates on the Project. We then discuss supporting a broader ecosystem of interoperable packages, including connections with several astronomical observatories and missions. We also revisit the future outlook of the Astropy Project and the current status of Learn Astropy. We conclude by raising and discussing the current and future challenges facing the Project. 2022. The Author(s). Published by the American Astronomical Society.
Price-Whelan A.M.; Lim P.L.; Earl N.; Starkman N.; Bradley L.; Shupe D.L.; Patil A.A.; Corrales L.; Brasseur C.E.; Nhe M.; Donath A.; Tollerud E.; Morris B.M.; Ginsburg A.; Vaher E.; Weaver B.A.; Tocknell J.; Jamieson W.; Van Kerkwijk M.H.; Robitaille T.P.; Merry B.; Bachetti M.; Gther H.M.; Aldcroft T.L.; Alvarado-Montes J.A.; Archibald A.M.; Bi A.; Bapat S.; Barentsen G.; Baz J.; Biswas M.; Boquien M.; Burke D.J.; Cara D.; Cara M.; Conroy K.E.; Conseil S.; Craig M.W.; Cross R.M.; Cruz K.L.; D'Eugenio F.; Dencheva N.; Devillepoix H.A.R.; Dietrich J.P.; Eigenbrot A.D.; Erben T.; Ferreira L.; Foreman-Mackey D.; Fox R.; Freij N.; Garg S.; Geda R.; Glattly L.; Gondhalekar Y.; Gordon K.D.; Grant D.; Greenfield P.; Groener A.M.; Guest S.; Gurovich S.; Handberg R.; Hart A.; Hatfield-Dodds Z.; Homeier D.; Hosseinzadeh G.; Jenness T.; Jones C.K.; Joseph P.; Kalmbach J.B.; Karamehmetoglu E.; Ka?uszy?ski M.; Kelley M.S.P.; Kern N.; Kerzendorf W.E.; Koch E.W.; Kulumani S.; Lee A.; Ly C.; Ma Z.; MacBride C.; Maljaars J.M.; Muna D.; Murphy N.A.; Norman H.; O'Steen R.; Oman K.A.; Pacifici C.; Pascual S.; Pascual-Granado J.; Patil R.R.; Perren G.I.; Pickering T.E.; Rastogi T.; Roulston B.R.; Ryan D.F.; Rykoff E.S.; Sabater J.; Sakurikar P.; Salgado J.; Sanghi A.; Saunders N.; Savchenko V.; Schwardt L.; Seifert-Eckert M.; Shih A.Y.; Jain A.S.; Shukla G.; Sick J.; Simpson C.; Singanamalla S.; Singer L.P.; Singhal J.; Sinha M.; Sipocz B.M.; Spitler L.R.; Stansby D.; Streicher O.; umak J.; Swinbank J.D.; Taranu D.S.; Tewary N.; Tremblay G.R.; De Val-Borro M.; Van Kooten S.J.; Vasovi? Z.; Verma S.; De Miranda Cardoso J.V.; Williams P.K.G.; Wilson T.J.; Winkel B.; Wood-Vasey W.M.; Xue R.; Yoachim P.; Zhang C.; Zonca A.
Price-Whelan A.M., Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, New York, 10010, NY, United States; Lim P.L., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States; Earl N., Department of Astronomy, University of Illinois at Urbana-Champaign, 1002 W. Green Street, Urbana, 61801, IL, United States; Starkman N., David A. Dunlap Department of Astronomy & Astrophysics, University of Toronto, 50 St. George Street, Toronto, ON M5S 3H4, Canada; Bradley L., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States; Shupe D.L., IPAC, MC 100-22, Caltech, 1200 E. California Boulevard, Pasadena, 91125, CA, United States; Patil A.A., David A. Dunlap Department of Astronomy & Astrophysics, University of Toronto, 50 St. George Street, Toronto, ON M5S 3H4, Canada, Dunlap Institute for Astronomy & Astrophysics, University of Toronto, 50 St George Street, Toronto, ON M5S 3H4, Canada; Corrales L., University of Michigan, Department of Astronomy, 1085 S. University Avenue, Ann Arbor, 48109, MI, United States; Brasseur C.E., School of Physics and Astronomy, University of St Andrews, North Haugh, Street, Andrews, KY16 9SS, United Kingdom; Nhe M., Astroparticle Physics, TU Dortmund, Otto-Hahn-Stra 4a, Dortmund, D-44227, Germany; Donath A., Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, 02138, MA, United States; Tollerud E., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States; Morris B.M., Center for Space and Habitability, University of Bern, Gesellschaftsstrasse 6, Bern, 3012, Switzerland; Ginsburg A., Department of Astronomy, University of Florida, P.O. Box 112055, Gainesville, FL, United States; Vaher E., Lund Observatory, Department of Astronomy and Theoretical Physics, Lund University, Box 43, Lund, SE-22100, Sweden; Weaver B.A., NSF's National Optical-Infrared Astronomy Research Laboratory, 950 North Cherry Avenue, Tucson, AZ 85719, United States; Tocknell J., School of Mathematical and Physical Sciences, Macquarie University, Sydney, 2109, NSW, Australia, Astronomy, Astrophysics and Astrophotonics Research Centre, Macquarie University, Sydney, 2109, NSW, Australia, Australian Astronomical Optics, Macquarie University, Sydney, 2109, NSW, Australia; Jamieson W., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States; Van Kerkwijk M.H., David A. Dunlap Department of Astronomy & Astrophysics, University of Toronto, 50 St. George Street, Toronto, ON M5S 3H4, Canada; Robitaille T.P., Aperio Software Ltd., Insight House, Riverside Business Park, Stoney Common Road, Essex, Stansted, CM24 8PL, United Kingdom; Merry B., South African Radio Astronomy Observatory, 2 Fir Street, Black River Park, Observatory 7925, South Africa; Bachetti M., Istituto Nazionale di Astrofisica/Osservatorio Astronomico di Cagliari, via della Scienza 5 (CA), Selargius, I-09047, Italy; Gther H.M., MIT Kavli Institute for Astrophysics and Space Research, 77 Massachusetts Avenue, Cambridge, 02139, MA, United States; Aldcroft T.L., Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, 02138, MA, United States; Alvarado-Montes J.A., School of Mathematical and Physical Sciences, Macquarie University, Sydney, 2109, NSW, Australia, Astronomy, Astrophysics and Astrophotonics Research Centre, Macquarie University, Sydney, 2109, NSW, Australia; Archibald A.M., Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom; Bi A., Konkoly Observatory, Research Centre for Astronomy and Earth Sciences (ELKH), Konkoly Thege Mikl 15-17, Budapest, H-1121, Hungary, MTA CSFK Lendet Near-Field Cosmology Research Group, Budapest, Hungary; Bapat S., School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Kamand (H.P.), Mandi, 175005, India; Barentsen G., Bay Area Environmental Research Institute, P.O. Box 25, Moffett Field, 94035, CA, United States; Baz J., CIEMAT Astroparticle Physics, Madrid, Spain; Biswas M., Savitribai Phule Pune University, Maharashtra, Pune, India; Boquien M., Centro de Astronom (CITEVA), Universidad de Antofagasta, Avenida Angamos 601, Antofagasta, Chile; Burke D.J., Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, 02138, MA, United States; Cara D., Wake Forest University, 1834 Wake Forest Road, Winston-Salem, 27109, NC, United States; Cara M., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States; Conroy K.E., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States; Conseil S., Aix Marseille University, CNRS, CNES, LAM, Marseille, France; Craig M.W., Department of Physics and Astronomy, Minnesota State University Moorhead, Moorhead, 56563, MN, United States; Cross R.M.; Cruz K.L., Hunter College, Physics and Astronomy, 695 Park Avenue, New York, 10065, NY, United States, American Museum of Natural History, Department of Astrophysics, Central Park West at 79th Street, New York, 10024, NY, United States, Flatiron Institute, 162 Fifth Avenue, New York, 10010, NY, United States; D'Eugenio F., Cavendish Laboratory, Kavli Institute for Cosmology, University of Cambridge, Madingley Rise, Cambridge, CB3 0HA, United Kingdom; Dencheva N., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States; Devillepoix H.A.R., School of Earth and Planetary Sciences, Curtin University, Perth, 6845, WA, Australia; Dietrich J.P., Universits-Sternwarte Mchen, Scheinerstr, Mchen, 181679, Germany; Eigenbrot A.D., National Solar Observatory, 3665 Discovery Drive, Boulder, 80303, CO, United States; Erben T., Argelander-Institut f Astronomie (University of Bonn), Auf dem Hel 71, Bonn, D-53121, Germany; Ferreira L., Centre for Astronomy and Particle Physics, University of Nottingham, Nottingham, United Kingdom; Foreman-Mackey D., Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, New York, 10010, NY, United States; Fox R.; Freij N., Bay Area Environmental Research Institute, P.O. Box 25, Moffett Field, 94035, CA, United States, Lockheed Martin Solar & Astrophysics Laboratory, Org. A021S, Bldg. 252, 3251 Hanover Street, Palo Alto, 94304, CA, United States; Garg S., Department of Physics, The University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan, Institute of Cosmic Ray Research, The University of Tokyo, Chiba, Kashiwa City, 277-8582, Japan; Geda R., Department of Astrophysical Sciences, Princeton University, 4 Ivy Lane, Princeton, 08544, NJ, United States; Glattly L., ScienceBetter Consulting, LLC, 4 West 101st Street, No. 29, New York, 10025, NY, United States; Gondhalekar Y., BITS Pilani/Computer Science, Goa, Sancoale, 403726, India; Gordon K.D., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States; Grant D., University of Oxford, Department of Physics, Keble Road, Oxford, OX1 3RH, United Kingdom, University of Bristol, HH Wills Physics Laboratory, Tyndall Avenue, Bristol, BS8 1TL, United Kingdom; Greenfield P., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States; Groener A.M., Drexel University, Department of Physics, 816 Disque Hall 32 S. 32nd Street, Philadelphia, 19104, PA, United States; Guest S., RAL Space, STFC Rutherford Appleton Laboratory, Harwell, Didcot, OX11 0QX, United Kingdom; Gurovich S., Instituto de Astronomia Teorica y Experimental - Observatorio Astronomico Cordoba, Cdoba, Argentina; Handberg R., Stellar Astrophysics Centre, Department of Physics and Astronomy, Aarhus University, Ny Munkegade 120, Aarhus C, DK-8000, Denmark; Hart A.; Hatfield-Dodds Z., Australian National University, Canberra, Australia; Homeier D., Aperio Software Ltd., Insight House, Riverside Business Park, Stoney Common Road, Essex, Stansted, CM24 8PL, United Kingdom, Fderkreis Planetarium Gtingen, Gtingen, Germany; Hosseinzadeh G., Steward Observatory, University of Arizona, 933 North Cherry Avenue, Tucson, 85721-0065, AZ, United States; Jenness T., Vera C. Rubin Observatory, University of Arizona, 950 N. Cherry Avenue, Tucson, 85719, AZ, United States; Jones C.K., The Malone Center for Healthcare in Engineering, Johns Hopkins University, Baltimore, 21218-2608, MD, United States; Joseph P., Indian Institute of Astrophysics, Bangalore, 560034, India, Department of Physics, CHRIST (Deemed to Be University), Bangalore, 560029, India; Kalmbach J.B., DIRAC Institute, Department of Astronomy, University of Washington, Box 351580, Seattle, 98195, WA, United States; Karamehmetoglu E., Aarhus University, Department of Physics and Astronomy, Ny Munkegade 120, Aarhus C, DK-8000, Denmark; Ka?uszy?ski M., Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, Bartycka 18, Warsaw, 00-716, Poland, AkondLab, Walbrzyska 6-8, Wroclaw, Poland; Kelley M.S.P., Department of Astronomy, University of Maryland, 4296 Stadium Drive, College Park, 20742-0001, MD, United States; Kern N., Massachusetts Institute of Technology, Department of Physics, 182 Memorial Dr, Cambridge, 02139, MA, United States; Kerzendorf W.E., Department of Physics & Astronomy/Computational Mathematics, Science, and Engineering, Michigan State University, East Lansing, 48824, MI, United States; Koch E.W., Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, 02138, MA, United States; Kulumani S., Johns Hopkins University, Applied Physics Laboratory, Laurel, MD, United States; Lee A., Laboratoire Photonique, Numique et Nanosciences UMR 5298, Universitde Bordeaux, Institut d'Optique, CNRS, Talence, F-33400, France; Ly C., Steward Observatory, University of Arizona, 933 North Cherry Avenue, Tucson, 85721-0065, AZ, United States; Ma Z., Department of Astronomy, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, 01003, MA, United States; MacBride C., Astrophysics Research Centre, School of Mathematics and Physics, Queen's University Belfast, Belfast, BT7 1NN, United Kingdom; Maljaars J.M., Science & Technology Corporation, Delft, Netherlands; Muna D., Department of Physics and Astronomy, University of Texas at San Antonio, San Antonio, 78249, TX, United States; Murphy N.A., Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, 02138, MA, United States; Norman H., Winter Way, Lerum, Sweden; O'Steen R., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States; Oman K.A., Institute for Computational Cosmology, Durham University, South Road, Durham, DH1 3LE, United Kingdom, Department of Physics, Durham University, South Road, Durham, DH1 3LE, United Kingdom; Pacifici C., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States; Pascual S., Departamento de Fica de la Tierra y Astrofica, Fac. CC. Ficas, Universidad Complutense de Madrid, Madrid, E-28040, Spain, Instituto de Fica de Partulas y Del Cosmos, IPARCOS, Fac. CC. Ficas, Universidad Complutense de Madrid, Madrid, E-28040, Spain; Pascual-Granado J., Instituto de Astrofica de Andaluc (CSIC), Glorieta de la Astronom s/n., Granada, E-18008, Spain; Patil R.R., Syracuse University, Syracuse, NY, United States; Perren G.I., Instituto de Astrofica de la Plata, IALP (CONICET-UNLP), La Plata, 1900, Argentina; Pickering T.E., MMT Observatory, Tucson, AZ, United States; Rastogi T.; Roulston B.R., Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, 02138, MA, United States, Department of Astronomy, Boston University, 725 Commonwealth Avenue, Boston, 02215, MA, United States; Ryan D.F., University of Applied Sciences and Arts Northwest Switzerland, Bahnhofstrasse 6, Windisch, 5210, Switzerland, American University, 4400 Massachusetts Avenue, NW, Washington, 20016, DC, United States; Rykoff E.S., SLAC National Accelerator Laboratory, Menlo Park, 94025, CA, United States; Sabater J., STFC UK Astronomy Technology Centre, Royal Observatory, Blackford Hill, Edinburgh, EH9 3HJ, United Kingdom; Sakurikar P., International Institute of Information Technology, Hyderabad, India; Salgado J., SKAO Observatory, Jodrell Bank, Cheshire, United Kingdom; Sanghi A., Department of Astronomy, The University of Texas at Austin, 2515 Speedway, C1400, Austin, 78712, TX, United States; Saunders N., Institute for Astronomy, University of Hawai'i at M?noa, 2680 Woodlawn Drive, Honolulu, 96822, HI, United States, American Museum of Natural History, 200 Central Park West, Manhattan, 10024, NY, United States; Savchenko V., Department of Astronomy, University of Geneva, Chemin d'ogia 16, Versoix, CH-1290, Switzerland, EPFL SCITAS, Station 9, Lausanne, CH-1015, Switzerland; Schwardt L., South African Radio Astronomy Observatory, 2 Fir Street, Black River Park, Observatory 7925, South Africa; Seifert-Eckert M.; Shih A.Y., NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, 20771, MD, United States; Jain A.S.; Shukla G., Maulana Azad National Institute of Technology, Bhopal, India; Sick J., J. Sick Codes Inc., Penetanguishene, ON, Canada; Simpson C., Gemini Observatory-NOIRLab, 670 N. A'ohoku Place, Hilo, 96720, HI, United States; Singanamalla S., Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, United States; Singer L.P., Astroparticle Physics Laboratory, NASA Goddard Space Flight Center, Code 661, Greenbelt, 20771, MD, United States; Singhal J.; Sinha M., Centre for Astrophysics & Supercomputing, Swinburne University of Technology, Hawthorn, 3122, VIC, Australia, ARC Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D), Australia; Sipocz B.M., IPAC, MC 100-22, Caltech, 1200 E. California Boulevard, Pasadena, 91125, CA, United States; Spitler L.R., School of Mathematical and Physical Sciences, Macquarie University, Sydney, 2109, NSW, Australia, Astronomy, Astrophysics and Astrophotonics Research Centre, Macquarie University, Sydney, 2109, NSW, Australia, Australian Astronomical Optics, Macquarie University, Sydney, 2109, NSW, Australia; Stansby D., Mullard Space Science Laboratory, University College London, Holmbury Street, Mary, Surrey, RH5 6NT, United Kingdom; Streicher O., Leibniz Institute for Astrophysics Potsdam, An der Sternwarte 16, Potsdam, 14482, Germany; umak J.; Swinbank J.D., ASTRON, Oude Hoogeveensedijk 4, Dwingeloo, 7991 PD, Netherlands; Taranu D.S., Department of Astrophysical Sciences, Princeton University, 4 Ivy Lane, Princeton, 08544, NJ, United States; Tewary N., Bharati Vidyapeeth's College of Engineering/Electronics and Communication, Department, A-4 Block, Baba Ramdev Marg, Shiva Enclave, Paschim Vihar, New Delhi, 110063, India; Tremblay G.R., Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, 02138, MA, United States; De Val-Borro M., Planetary Science Institute, 1700 East Fort Lowell, Tucson, 85719, AZ, United States; Van Kooten S.J., Southwest Research Institute, 1050 Walnut Street, Ste 300, Boulder, 80302, CO, United States; Vasovi? Z., Faculty of Physics, University of Belgrade, Studentski trg 12-16, Belgrade, Serbia; Verma S., Atal Bihari Vajpayee Indian Institute of Information Technology and Management, MP, Gwalior, India; De Miranda Cardoso J.V., The Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong; Williams P.K.G., Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, 02138, MA, United States, American Astronomical Society, 1667 K Street, NW Suite 800, Washington, 20006, DC, United States; Wilson T.J., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States, School of Physics, University of Exeter, Stocker Road, Exeter, EX4 4QL, United Kingdom; Winkel B., Max-Planck-Institut f Radioastronomie, Auf dem Hel 69, Bonn, D-53121, Germany; Wood-Vasey W.M., Pittsburgh Particle Physics, Astrophysics, and Cosmology Center (PITT PACC), Physics and Astronomy Department, University of Pittsburgh, Pittsburgh, 15260, PA, United States; Xue R., National Radio Astronomy Observatory, 520 Edgemont Road, Charlottesville, 22903, VA, United States; Yoachim P., Department of Astronomy, University of Washington, Seattle, 98195, WA, United States; Zhang C., Purple Mountain Observatory, CAS, Qixia District, Nanjing, 210023, China; Zonca A., San Diego Supercomputer Center, University of California, 9500 Gilman Drive, La Jolla, San Diego, 92093, CA, United States
Understanding inhibitors to XBRL adoption: an empirical investigation
Accounting information system; Adoption; Corporate reporting; Diffusion; XBRL
Purpose: This study aims to investigate the awareness of extensible business reporting language (XBRL) and the perception of chartered accountants of India concerning the inhibitors of XBRL adoption, namely, environmental, organizational and innovation factors developed by Troshani and Rao (2007) from Rogers innovation diffusion theory. In addition, the analysis also investigated the relationship between the perception of issues regarding XBRL adoption and individual characteristics (training, age, gender and professional experience). Design/methodology/approach: A Web-based questionnaire was circulated through e-mail to chartered accountants registered with the Institute of Chartered Accountants India (ICAI) and 233 chartered accountants responded to the questionnaire. The data was analyzed using reliability statistics and multivariate regression analyses. Findings: The results indicate that accountants perceived that environmental, organizational and innovational factors were challenging in adopting XBRL. Interestingly, training and experience were significant factors in explaining respondents perceptions. Practical implications: From a practical panorama, the significance of issues implies that associations such as XBRL International, XBRL India, ICAI and the Ministry of Corporate Affairs should collectively take the appropriate steps to sustain and ameliorate the reliability and adoption of XBRL. Social implications: The results can motivate ICAI/Institute of Company Secretaries of India (ICSI) courses to teach academic content about XBRL. Originality/value: The present study differs from previous research because it examines the inhibitors in adopting XBRL, namely, environmental, organizational and innovation factors, in an empirical setting. Moreover, to the best of the authors knowledge, this is the first study to analyze the influence of individual factors on accountants perceptions about inhibitors of XBRL adoption. 2021, Emerald Publishing Limited.
Accounting Research Journal, Vol-35, No. 5, pp. 598-615.
Singh H., School of Commerce, Finance and Accountancy, Christ (Deemed to be University), Bangalore, India; Singh A., Department of Commerce and Business Management, Guru Nanak Dev University, Rc, Gurdaspur, India
Photocatalytic nanomaterials: Applications for remediation of toxic polycyclic aromatic hydrocarbons and green management
Bioremediation; Metal oxides; Nanomaterials; PAHs; Semiconductor photocatalysis
Nanomaterials (NMs) have piqued the attention of scientists and researchers across many biomedical sciences due to their superior physical, chemical, and magnetic properties. The efficacy and efficiency of NMs depend on adapting to specific site conditions and soil composition. NMs have lately received much attention in the context of polycyclic aromatic hydrocarbons (PAHs) polluted soil remediation and water mitigation because of their unique properties resulting from their nanoscale sizes. The remediation of hazardous PAHs in water and soil is a hot research subject. Because the exposure of PAHs in water and soil results in pollution, which raises major human health concerns. The current review reports novel advancements in NMs that subsidize enhancement for degradation of PAHs. Challenges to the fabrication of high activity-based photocatalytic materials are also discussed. Furthermore, this review delivers exclusive and wide-ranging perspectives on the fabrication of nanomaterial-based photocatalytic systems. The knowledge of both soil remediation and water mitigation is also updated. 2022
Dutta V.; Devasia J.; Chauhan A.; M J.; L V.V.; Jha A.; Nizam A.; Lin K.-Y.A.; Ghotekar S.
Chemical Engineering Journal Advances, Vol-11
https://doi.org/10.1016/j.ceja.2022.100353 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133196987&doi=10.1016%2fj.ceja.2022.100353&partnerID=40&md5=64445090f8e19f3deb53adab85a2c158
Dutta V., Advanced School of Chemical Sciences, Shoolini University, Himachal Pradesh, Solan, 173212, India; Devasia J., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Chauhan A., Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Tamil Nadu, Kelambakkam, Kanchipuram, 603103, India; M J., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; L V.V., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Jha A., University Institute of Biotechnology, Chandigarh University, Punjab, Gharuan, 140413, India; Nizam A., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Lin K.-Y.A., Department of Environmental Engineering & Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, 250 Kuo-Kuang Road, Taichung, Taiwan; Ghotekar S., Department of Chemistry, Smt. Devkiba Mohansinhji Chauhan College of Commerce and Science, University of Mumbai, Dadra and Nagar Haveli (UT), Silvassa, 396 230, India
Ruralurban financial inclusion: Implications on the cost sustainability of microfinance lenders
Despite the higher demand for credit among the rural poor, many commercial banks and microfinance institutions (MFIs) are averse towards microfinancing activities in rural areas due to their high-cost implication compared to urban areas. Therefore, this study empirically investigates the effect of rural and urban financial inclusion on the cost sustainability of MFIs. To this end, a globally representative sample of 1729 MFIs' data covering the period 20082018 were analyzed. Contrary to the orthodox perception, our overall result revealed that lending in rural areas is more cost-efficient than in urban areas, even after considering various proxies and endogeneity issues. 2021 John Wiley & Sons, Ltd.
Mia M.A.; Sangwan S.; Hussain A.H.M.B.; Malim N.A.K.
Managerial and Decision Economics, Vol-43, No. 6, pp. 1899-1911.
https://doi.org/10.1002/mde.3498 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120655834&doi=10.1002%2fmde.3498&partnerID=40&md5=91fc2117ac2825b4abb46049e65c31a0
Mia M.A., School of Management, Universiti Sains Malaysia, Penang, Malaysia, Department of Business Administration, Daffodil International University, Dhaka, Bangladesh; Sangwan S., Department of Commerce, Christ University, Pune, India; Hussain A.H.M.B., Centre for Research on Women and Gender (KANITA), Universiti Sains Malaysia, Penang, Malaysia; Malim N.A.K., School of Management, Universiti Sains Malaysia, Penang, Malaysia
Examination of sustainability goals: A comparative study of U.S. and Indian firms
corporate social responsibility; India; strategic planning and decision processes; sustainability
Considerable attention has focused on tactics firms use when building their sustainability platforms. Less is known, however, about how sustainability goal setting varies globally, especially in developing economies. Accordingly, we examined sustainability goals of 21 of the 50 largest Indian firms and compared them with similar data from a published study that examined 22 of the 50 largest U.S. firms. In total, 679 sustainability goals were analyzed using a triple bottom line framework. We found U.S. firms set more sustainability goals than Indian firms. Firms from both samples set similar numbers of people goals but U.S. firms set more diversity goals. Indian firms were more inclined to set economic and community development goals. We also detected differences across the samples in planet goals associated with emissions and water. Especially significant, Indian firms were much more likely than U.S. firms to specify profit goals. Implications for research and practice are discussed. 2019 Cambridge University Press and Australian and New Zealand Academy of Management.
Palmer T.B.; Phadke S.; Nair M.V.; Flanagan D.J.
Journal of Management and Organization, Vol-28, No. 4, pp. 827-848.
https://doi.org/10.1017/jmo.2019.9 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063422673&doi=10.1017%2fjmo.2019.9&partnerID=40&md5=dda0fb9b9ade2ff4b16190eaf58b6b97
Palmer T.B., Center for Sustainable Business Practices, Haworth College of Business, Western Michigan University, Kalamazoo, MI, United States; Phadke S., Institute of Management, Christ University, Bangalore, India; Nair M.V., Institute of Management, Christ University, Bangalore, India; Flanagan D.J., Haworth College of Business, Western Michigan University, Kalamazoo, United States
Features of Vitamin Model Affecting Psychological Empowerment: Serial Mediation Role of Job Crafting and Work Engagement
job crafting; job design; job features; psychological empowerment; redesign; serial mediation; structural equation model; vitamin model; work engagement; work meaningfulness
The current research aimed to investigate the association between the variables under the study, that is, the vitamin model features of a job: job crafting, work engagement, and psychological empowerment. It also attempted to analyze the serial mediational role of the two causally linked mediators, that is, job crafting and work engagement with the job features of the vitamin model and psychological empowerment. By investigating these variables, we tried to explore how the employees redesigned the well-defined jobs to match their capabilities, which enhanced commitment to work and led to positive behavioral outcomes, such as empowerment, work meaningfulness, and improved performance. Primary data were collected from 453 knowledge workers in the information technology (IT) and information technology-enabled services (ITES) industry. Using SPSS software, the correlation method revealed significant positive correlations between the variables under study. PROCESS macro (Haynes, 2012) was applied in SPSS AMOS regression-based path coefficients and bootstrap confidence intervals at a 95% confidence level. As the bootstrap confidence intervals did not include zero, a significant mediational role of the serial mediators was observed between the relationship of features in the vitamin model and psychological empowerment [Estimate =.0761, 95% CI (.0257,.1902)]. So, it could be concluded that job crafting made the employees the mechanic of their vehicle (work), leading to work engagement, increased performance, and psychological well-being at the workplace. 2022, Associated Management Consultants Pvt. Ltd.. All rights reserved.
Prabandhan: Indian Journal of Management, Vol-15, No. 8, pp. 42-58.
https://doi.org/10.17010/pijom/2022/v15i8/171525 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136107378&doi=10.17010%2fpijom%2f2022%2fv15i8%2f171525&partnerID=40&md5=babddf552f83abd128d46a7b6d2186b9
Kumar G.V., Christ (Deemed to be University), Hosur Road, Bhavani Nagar, S. G. Palya, Karnataka, Bengaluru, 560 029, India; Valarmathi B., Christ (Deemed to be University), Hosur Road, Bhavani Nagar, S. G. Palya, Karnataka, Bengaluru, 560 029, India
A reconfigurable integrated level shifted carrier based PWM method for modular multilevel converters
carrier based sinusoidal pulse width modulation; harmonic distortion; modular multilevel converters; pulse width modulation
This article presents a reconfigurable integrated level shifted carrier-based pulse width modulation (ILSC-PWM) method for modular multilevel converters (MMCs). The principles of basic level shifted carrier-based PWM (LSC-PWM) methods such as phase disposition PWM (PD-PWM), phase opposition disposition PWM (POD-PWM) and alternate phase opposition disposition PWM (APOD-PWM) methods are combined to develop the concept of reconfigurable ILSC-PWM method. The main objectives of the proposed reconfigurable ILSC-PWM method is to develop the pulse width modulated output voltage with both half-wave and quarter-wave symmetries and to reduce the total harmonic distortion (THD). A simplified mathematical approach is developed to formulate reconfigurable single ILSC wave for MMC with N number of submodules (SMs) per arm. The functionality and performance of the reconfigurable ILSC-PWM method are carried out on three-phase five-level MMC in MATLAB/Simulink. A hardware prototype of single-phase five-level MMC is designed for experimental validation. The proposed ILSC-PWM method is implemented on an Altera/Cyclone I series (EP1C12Q240C8N) field programmable gate array (FPGA). Computer Simulations and laboratory experimental results are presented. 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC. 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
Muthavarapu A.K.; Anjana K.G.; Biswas J.; Barai M.
IEEJ Transactions on Electrical and Electronic Engineering, Vol-17, No. 8, pp. 1148-1159.
https://doi.org/10.1002/tee.23606 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129043067&doi=10.1002%2ftee.23606&partnerID=40&md5=827c0c17262df32f4e28c4a42c682fc4
Muthavarapu A.K., Electrical and Electronics Engineering, Aditya Engineering College (A), Andhra Pradesh, Surampalem, 533437, India; Anjana K.G., Electrical Engineering, National Institute of Technology, Kerala, Calicut, 673601, India; Biswas J., Department of Computer Science, Christ University, Karnataka, Bengaluru, 560029, India; Barai M., Electrical Engineering, National Institute of Technology, Kerala, Calicut, 673601, India
Perceived Discrimination and Happiness Among Tribal Unmarried Mothers
Economic situations; Happiness; Perceived discrimination; Socio-demographic factors
The present study aimed to understand the relationship between perceived discrimination and happiness among tribal unmarried mothers. The sample included 30 tribal unmarried mothers from the Wayanad district in Kerala, India. Data were collected using a socio-demographic response sheet, Oxford happiness questionnaire (Short form), and everyday discrimination scale. MannWhitney U test showed that tribal unmarried mothers did not differ in happiness concerning their income, education, putative father from the same tribe or not, and living status. Compared to those with higher income, mothers with lower income were higher in perceived discrimination. Correlation analysis revealed a negative relationship between perceived discrimination and happiness. Regression analysis confirmed that perceived discrimination is a negative predictor of happiness. 2022, The Author(s) under exclusive licence to National Academy of Psychology (NAOP) India.
Psychological Studies, Vol-67, No. 3, pp. 332-339.
Thasleema A., Amma Multispecialty Clinic, Kerala, Cherpulassery, Palakkad, 679503, India; Rajan S.K., Department of Psychology, CHRIST (Deemed to Be University), Bangalore, 560029, India
Diversifying investor's portfolio using bitcoin: An econometric analysis
Rational investors look into maximizing returns with minimal risk. Since this is highly unlikely, optimizing risk and return is a practical solution. Bitcoin is a new financial product that can be included in an investment portfolio. This paper looks at Bitcoins as a separate asset class and attempts to capture the volatility using the Exponential GARCH (E-GARCH) as well as to check if Bitcoins can be used as an optimal tool to hedge using the Dynamic Conditional Correlation GARCH against four traditional asset classes in the U.S. economy which includes the stock market (S&P 500 index), Bonds (U.S. Aggregate Bond Index), Gold and Crude Oil. The period of study is a little over 7 years. The results suggest that Bitcoin stands as a highly speculative class of asset with extremely high volatility and with respect to hedging, Bitcoin stands as a possible tool of hedge with the U.S. Aggregate Bond index and to a certain extent against Gold but fails to be an optimal hedge against the S&P 500 and Crude Oil in the U.S. economy between April 29, 2013 and October 31, 2019 due to its highly volatile nature. 2020 John Wiley & Sons, Ltd.
Journal of Public Affairs, Vol-22, No. 3
https://doi.org/10.1002/pa.2527 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092756656&doi=10.1002%2fpa.2527&partnerID=40&md5=f242b7c8c5952bb181d340f6c56c1cc6
Subramanian A., Department of Economics, Bannerghatta Road Campus, CHRIST (Deemed to be University), Bengaluru, India; Rao B.M., Department of Economics, Bannerghatta Road Campus, CHRIST (Deemed to be University), Bengaluru, India
Antibacterial activity and spectroscopic characteristics of silver nanoparticles synthesized via plant and invitro leaf-derived callus extracts of Mucuna pruriens (L.) DC
Green synthesis; In-vitro callus; Mucuna pruriens; Silver nanoparticles; Surface plasmon resonance
In this paper, we describe the green synthesis of silver nanoparticles (AgNPs) using plant extracts, as well as their structural, optical, and antibacterial activities against Escherichia coli and Bacillus velezensis bacteria. For the study, several sections (root, leaves, and seed) of Mucuna pruriens, an immense medicinal herbal used to treat Parkinson's disease, were evaluated. Also, the seeds were grown in-vitro in the modified Murashige and Skoog's medium and the leaf derived callus supplemented by different phytohormones like picloram (pic), thidiazuron (TDZ), 6-benzylaminopurine (BAP) and 2-isopentenyl adenine (2-iP) were selected for this study. This is the first report of distinct callus obtained from M. pruriens and used for green nanoparticle synthesis. The prepared materials were thoroughly evaluated for structural and optical properties using XRD, FTIR, and UV-Visible spectroscopy. During synthesis, the colour changes from colourless to reddish brown, and the existence of an SPR peak in the absorption spectra confirms the formation of AgNPs. The FTIR spectra reveals the presence of phenolic group and alkyl ether groups, which were responsible for the reduction of silver ions during the green synthesis. The aqueous extracts of plant parts and callus obtained from different hormones showed very poor antibacterial activity. However, the green synthesized nanoparticles fabricated by different plant extracts showed good antimicrobial activity towards E. coli and B. velezensis bacteria. amongst the investigated results, highest antimicrobial activity against E. coli (84.8%) and B. velezensis (78.1%) was shown by AgNPs mediated by leaf extracts respectively followed by 0.5 mg/L pic and 2.0 mg/L BAP callus mediated silver nanoparticle solution. According to the findings, green produced AgNPs are promising candidates for antibacterial applications against E. coli and B. velezensis. 2022 SAAB
B R.; N S.; K J R.K.; A M.; M R S.K.; N P.
South African Journal of Botany, Vol-148, pp. 251-258.
https://doi.org/10.1016/j.sajb.2022.04.047 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129363136&doi=10.1016%2fj.sajb.2022.04.047&partnerID=40&md5=aa46e189fdd5fcdbf917996025a654d5
B R., Department of Life Sciences, Christ (Deemed to be University), Hosur Road, Bengaluru, 560 029, India; N S., Department of Physics, RV Institute of Technology and Management, Bengaluru, 560 076, India; K J R.K., Department of Chemistry, RV Institute of Technology and Management, Bengaluru, 560 076, India; A M., Department of Physics, Dayananda Sagar College of Engineering, Kumaraswamy Layout, Karnataka, Bangalore, 560 078, India; M R S.K., Department of Physics, RV Institute of Technology and Management, Bengaluru, 560 076, India; N P., Department of Life Sciences, Christ (Deemed to be University), Hosur Road, Bengaluru, 560 029, India
An Enhanced Transfer Learning Based Classification for Diagnosis of Skin Cancer
benign; classification; convolutional neural network; data augmentation; Kaggle; malignant; skin cancer; VGG16
Skin cancer is the most commonly diagnosed and reported malignancy worldwide. To reduce the death rate from cancer, it is essential to diagnose skin cancer at a benign stage as soon as possible. To save lives, an automated system that can detect skin cancer in its earliest stages is necessary. For the diagnosis of skin cancer, various researchers have performed tasks using deep learning and transfer learning models. However, the existing literature is limited in terms of its accuracy and its troublesome and time-consuming process. As a result, it is critical to design an automatic system that can deliver a fast judgment and considerably reduce mistakes in diagnosis. In this work, a deep learning-based model has been designed for the identification of skin cancer at benign and malignant stages using the concept of transfer learning approach. For this, a pre-trained VGG16 model is improved by adding one flatten layer, two dense layers with activation function (LeakyReLU) and another dense layer with activation function (sigmoid) to enhance the accuracy of this model. This proposed model is evaluated on a dataset obtained from Kaggle. The techniques of data augmentation are applied in order to enhance the random-ness among the input dataset for model stability. The proposed model has been validated by considering several useful hyper parameters such as different batch sizes of 8, 16, 32, 64, and 128; different epochs and optimizers. The proposed model is working best with an overall accuracy of 89.09% on 128 batch size with the Adam optimizer and 10 epochs and outperforms state-of-the-art techniques. This model will help dermatologists in the early diagnosis of skin cancers. 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Anand V.; Gupta S.; Altameem A.; Nayak S.R.; Poonia R.C.; Saudagar A.K.J.
Multidisciplinary Digital Publishing Institute (MDPI)
https://doi.org/10.3390/diagnostics12071628 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133849397&doi=10.3390%2fdiagnostics12071628&partnerID=40&md5=6e1f7b12eb723fbd8694fe1b30481367
Anand V., Institute of Engineering and Technology, Chitkara University, Punjab, Rajpura, 140401, India; Gupta S., Institute of Engineering and Technology, Chitkara University, Punjab, Rajpura, 140401, India; Altameem A., Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, 11533, Saudi Arabia; Nayak S.R., Amity School of Engineering and Technology, Amity University Uttar Pradesh, Uttar Pradesh, Noida, 201301, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Saudagar A.K.J., Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia