Income Inequality in Globalization Context: Evidence from Global Data
C33; Economic globalization; F4; F6; Financial openness; Income inequality; O15; Panel estimation; Trade openness
This paper empirically investigates the relative effectiveness of economic globalization, trade openness, and financial openness on income inequality in low-, middle-, and high-income countries for the panel data over the period from 1991 to 2020 by endogenizing economic growth, urbanization, agriculture, industry, and service sectors value-added as % of GDP as control variables in income inequality function. The results emanating from the panel pooled mean group-autoregressive distributed lag (PMG-ARDL) test provide evidence of a significant long-run relationship among the variables. Interestingly, economic globalization reduces income inequality for high- and middle-income countries and increases it in low-income countries. On the other hand, trade openness reduces income inequality in high- and middle-income countries but increases it for low-income countries. In contrast, financial openness lessens income inequality in low-income countries but increases it for middle- and high-income countries. We find that urbanization increases income inequality in low-, middle- and high-income countries. We also find that economic growth decreases (increases) income inequality in high (middle and low)-income countries. Moreover, it is found that industrial and service sectors output decrease (increases) income inequality in high (middle and low)-income countries, whereas agricultural output improves (deteriorates) income distribution in middle- and low- (high) income countries. In light of these findings, we suggest that the governments of low-income countries need to focus more on improving the level of globalization and trade openness to improve their economic conditions in long run. Both high- and middle-income countries should also improve their financial openness so that effective utilization of overseas finance will flourish their overall economy. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.
Villanthenkodath M.A.; Pal S.; Mahalik M.K.
Journal of the Knowledge Economy, Vol-15, No. 1, pp. 3872-3902.
Villanthenkodath M.A., B. S. Abdur Rahman University, GST Road, Vandalur, Tamil Nadu, Chennai, 600 048, India; Pal S., Department of Humanities and Social Sciences, Indian Institute of Technology Kharagpur, West Bengal, Kharagpur, 721302, India, School of Business and Management, Christ University (Deemed to be University), Karnataka, Bengaluru, 560029, India; Mahalik M.K., Department of Humanities and Social Sciences, Indian Institute of Technology Kharagpur, West Bengal, Kharagpur, 721302, India
Solution of a dengue fever model via fractional natural decomposition and modified predictor-corrector methods
Dengue fever; fractional natural decomposition method; Liouville-Caputo derivative; mathematical model; modified Predictor-Corrector algorithm; new generalized Caputo derivative
In this paper, we solved a model of a well-known infectious disease called dengue fever via fractional natural decomposition and modified Predictor-Corrector (PC) methods. A study of the dengue epidemic in the Cape Verde Islands off the coast of West Africa in 2009 has been resumed here for a better understanding of the results. The results are obtained using Liouville-Caputo and new generalized Caputo-type fractional derivatives. The numerical simulations are presented for various orders of given derivatives. Existence and uniqueness analysis of the given problem are also performed in the new generalized Caputo sense. The explored results are verified using figures. The main target of this paper is to explore the different dynamics of the given dengue fever model via two types of fractional numerical algorithms. 2024 World Scientific Publishing Company.
Kumar P.; Gao W.; Veeresha P.; Erturk V.S.; Prakasha D.G.; Baskonus H.M.
International Journal of Modeling, Simulation, and Scientific Computing, Vol-15, No. 1
Kumar P., Institute for the Future of Knowledge, University of Johannesburg, P. O. Box 524, Auckland Park, 2006, South Africa; Gao W., School of Information Science and Technology, Yunnan Normal University, Yunnan, China; Veeresha P., Department of Mathematics, Christ (Deemed to Be University), Bengaluru, 560029, India; Erturk V.S., Department of Mathematics, Ondokuz Mayis University, Atakum, Samsun, 55200, Turkey; Prakasha D.G., Department of Mathematics, Davangere University, Shivagangothri, Davangere, 577007, India; Baskonus H.M., Department of Mathematics and Science Education, Harran University, Sanliurfa, Turkey
Compactness problem; Gamma-ray bursts; Neutrinos
One of the possible resolutions of the compactness problem in gamma-ray bursts (GRBs) is by invoking the Lorentz factors associated with the relativistic bulk motion. This model applies to GRBs where sufficient energy is converted to accelerate the ejected matter to relativistic speeds. In some situations, this may not be a possible mechanism, and as a result, the gamma rays are trapped in the region. In this work, we look at such possible scenarios and where the neutrino pair production process can dominate. As a result, the neutrinos can escape freely. This could give rise to a scenario where the release of neutrinos precedes the gamma-ray emission that is much attenuated. This model can thus possibly explain why fewer GRBs are observed than what is expected. 2023, Indian Association for the Cultivation of Science.
Indian Journal of Physics, Vol-98, No. 2, pp. 407-410.
Arun K., CHRIST (Deemed to be University), Bangalore, 560 029, India; Sivaram C., Indian Institute of Astrophysics, Bangalore, 560 034, India
Factors influencing career decision of undergraduate and postgraduate students: an Indian context
Career advancement; Career decision-making; Personal development planning; Private higher education
Purpose: The objective of the study was to explore the factors influencing the career decisions of students doing the students' undergraduate (UG) and postgraduate (PG) programmes from urban private universities/colleges in the Indian context. Design/methodology/approach: Career decision-making is determined by different factors and is contextual. The present study explores and identifies the prominent factors influencing career decision-making. A pool of 33 questions was developed, and these questions were initially administered to a sample of 233 students. Principal component analysis with Varimax Rotation identified salient factors. In the second study, confirmatory analysis was performed based on the opinion of 304 students. Findings: The study shows that the student's career deciding factors include (1) career clarity, (2) career exploration, (3) career reward and recognition and (4) career initiative for professional and personal growth. Originality/value: The study focussed on career-deciding factors for UG and PG students from urban universities/colleges in the Indian context and the findings can be used for planning career counselling interventions. 2023, Emerald Publishing Limited.
Higher Education, Skills and Work-based Learning, Vol-14, No. 1, pp. 95-108.
https://doi.org/10.1108/HESWBL-09-2022-0189 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166194513&doi=10.1108%2fHESWBL-09-2022-0189&partnerID=40&md5=dd7030783b62c1d02b175d623263a78a
Thomas P., Christ University, Bangalore, India; John D., Christ University, Bangalore, India; Thomas L., Christ University, Bangalore, India
Combined weighted feature extraction and deep learning approach for chronic obstructive pulmonary disease classification using electromyography
Classification; COPD; Deep learning; Electromyography; Respiratory diseases
The COVID-19 outbreak has led to a rise in respiratory disease-related deaths, including Chronic Obstructive Pulmonary Disease (COPD). Early diagnosis of COPD is crucial, but it can be challenging to distinguish between different chronic pulmonary diseases due to their similar symptoms, leading to misdiagnosis and time-consuming manual inspections. To address this issue, this paper explores the use of a deep learning model to differentiate COPD from other lung diseases using lung sound captured during Electromyography (EMG). The model includes steps such as noise removal, data augmentation, combined weighted feature extraction, and learning. The model's efficacy was evaluated using various metrics, including accuracy, precision, recall, F1-score, kappa coefficient, and Matthews correlation coefficient (MCC), with and without augmentation. The results show that the model achieved 93% accuracy and outperformed other existing state-of-the-art deep learning models, increasing the robustness of clinical decision-making. The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management 2023.
Kanwade A.B.; Sardey M.P.; Panwar S.A.; Gajare M.P.; Chaudhari M.N.; Upreti K.
International Journal of Information Technology (Singapore), Vol-16, No. 3, pp. 1485-1494.
Springer Science and Business Media B.V.
https://doi.org/10.1007/s41870-023-01498-y https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173783641&doi=10.1007%2fs41870-023-01498-y&partnerID=40&md5=e82dfdaaa28cb933a8480e8db8eb421d
Kanwade A.B., Marathawada Mitra Mandal College of Engineering, Pune, India; Sardey M.P., AISSMSs Institute of Information Technology, Pune, India; Panwar S.A., AISSMSs Institute of Information Technology, Pune, India; Gajare M.P., AISSMSs Institute of Information Technology, Pune, India; Chaudhari M.N., Vivekanand Education Societys Institute of Technology Chembur, Mumbai, India; Upreti K., CHRIST (Deemed to Be University), Delhi NCR, Ghaziabad, India
On the Hermite and Mathieu Special Characterizations to the Logarithmic ZakharovKuznetsov Equations
Hermite and Mathieu differential equations; Logarithmic ZakharovKuznetsov equation; Special function method
In this paper, we find the new travelling wave solutions for several aspects of logarithmic ZakharovKuznetsov (ZK) equations using an efficient technique called the special function method which is composed of Hermite and Mathieu differential equations being novel and special functions. In order to illustrate the efficiency of the projected scheme, we considered four different examples with different cases, namely, logarithmic ZK (log-ZK) equation, logarithmic modified ZK (log-mZK) equation, and logarithmic ZK modified equal width (log-ZK-mEW) equation and logarithmic ZKBenjaminBonaMahony (log-ZKBBM) equation. The behaviour of the obtained results and corresponding consequences are illustrated and captured. Finally, the obtained results confirm that the considered solution procedure can be widely employed to find the solution and also capture some interesting and stimulating consequences. 2023, The Author(s), under exclusive licence to Springer Nature India Private Limited.
Pinar Z.; Baskonus H.M.; Veeresha P.; Gao W.
International Journal of Applied and Computational Mathematics, Vol-10, No. 1
Pinar Z., Department Department of Mathematics, Tekirdag Nam?k Kemal University, Tekirdag, Turkey; Baskonus H.M., Faculty of Education, Harran University, Sanliurfa, Turkey; Veeresha P., Department of Mathematics, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Gao W., School of Information Science and Technology, Yunnan Normal University, Kunming, 650500, China
Task-based Autoethnographic Pedagogical Approach: a phenomenological inquiry into online learning of Critical Food Studies courses
Active learning; Critical autoethnography; Critical Food Studies; Learning space; Online pedagogy; Phenomenology
The disengaging experiences reported in the online mode of learning have resulted in considerable deliberations highlighting the need for pedagogical innovations. Therefore, it is crucial to rethink these ideas and develop pedagogical approaches that accommodate a dynamic understanding of learning spaces and meet the demands of the teachinglearning environment of the contemporary period. This study discusses the various steps through which the task-based autoethnographic pedagogical approach (TAPA) was implemented in an undergraduate-level Critical Food Studies course and proposes it as an effective approach to administering certain courses by enabling active learning in the online mode. The study captures learners perceptions of meaningful online learning experiences by using an interpretative phenomenological approach, mapping the aspects that contribute to a sense of rekindled interest and involvement in the course. Some of the dominant patterns that emerge from this phenomenological study are (1) appreciation towards praxis-based online learning, (2) recognition of lived space as a ripe site for inquiry and learning, (3) a heightened sense of engagement with lived contexts, and identity discourses, (4) learners negotiations with TAPA, and (5) learner as an active agent and curator of knowledge. Thus, while situating TAPA as an effective pedagogical approach for online learning and Critical Food Studies curriculum, it is also posited as an approach that initiates negotiation with the epistemic hierarchies within academia. Education Research Institute, Seoul National University 2022.
Asia Pacific Education Review, Vol-25, No. 1, pp. 143-158.
Vijayaraghavan A.P., Department of English and Cultural Studies, Christ University, Bangalore, India; Chattaraj D., Department of English and Cultural Studies, Christ University, Bangalore, India
The Evaluation of Security and Privacy Components in the Context of Peer-To-Peer Power Trading Methodologies using Network Intelligence
Network Intelligence; Peer-to-peer (P2P); Power Trading Methodologies; Privacy; Security
The widespread implementation of renewable energy sources, along with a more proactive approach to managing electricity use, is causing a shift in the way power systems operate and electricity is traded in the market. The P2P economy in particular is benefiting from this change. To efficiently handle the fast changes in renewable power generation at the distribution network level, a local market mechanism that can adapt is required. The efficient and safe operation of the distribution network is also bound to be affected by the extensive adoption of P2P energy trading. This study presents a new paradigm for P2P power trading that accounts for constraints imposed by distribution network security. Specifically, the design makes use of the generalised quick dual ascent method. The article lays out the groundwork for an event-based local peer-to-peer market, which would facilitate rapid and efficient energy swaps inside a certain region. The next step in making sure the distribution system is secure is to evaluate the impact of peer-to-peer transactions on the network using the nodal voltage and network loss in relation to nodal power injections. This allows for an internal determination of how to distribute the costs of P2P energy trading and the incorporation of the external operating constraints. Distributed market-clearing is also applied efficiently by means of a universal quick dual ascent technique. The numerical results show that the proposed model can implement P2P energy trading securely into the distribution system. Furthermore, the method for solving the problem shows remarkable efficiency in achieving convergence. 2024, Auricle Global Society of Education and Research. All rights reserved.
Anitha C.; Saxena N.; Swain P.C.; Pramila S.; Sahoo D.R.; Bajaj K.K.; Kumar U.
International Journal of Intelligent Systems and Applications in Engineering, Vol-12, No. 15s, pp. 464-470.
Auricle Global Society of Education and Research
Anitha C., Department of Computer Science and Engineering, School of Computing, Mohan Babu University, (Erstwhile Sree Vidyanikethan Engineering College, Andhra Pradesh, Tirupati, India; Saxena N., Department of Commerce, Jagannath International Management School, New Delhi, India; Swain P.C., Department of Commerce, School of Social, Financial & Human Sciences, Kalinga Institute of Industrial Technology (KIIT), Odisha, Bhubaneswar, India; Pramila S., School of Commerce Finance & Accountancy, Christ University, NCR, Delhi, India; Sahoo D.R., Symbiosis Law School, Noida, India, Symbiosis International (Deemed University), Pune, India; Bajaj K.K., RNB Global University, Rajasthan, Bikaner, India; Kumar U., Glocal University Pharmacy College, Glocal University, U.P, Saharanpur, India
Multifunctional characteristics of biosynthesized CoFe2O4@Ag nanocomposite by photocatalytic, antibacterial and cytotoxic applications
Antibacterial activity; Carissa carandas; Cytotoxicity; Green synthesis; Photocatalysis; Rhodamine B (RhB)
Carissa carandas, a traditional medicinal herb with a high concentration of antioxidant phytochemicals, has been used for thousands of years in the Ayurveda, Unani, and homoeopathic schools of medicine. By employing Carissa carandas bark extract as a reducing and capping agent in green biosynthesis, we extend this conventional application to produce CoFe2O4 and CoFe2O4@Ag nanocomposite. A variety of techniques have been used to characterize the synthesised nanocomposite, including UVVis, FTIR, XRD, FESEM, EDX, and BET. The CoFe2O4 and CoFe2O4@Ag nanocomposite demonstrated promising antibacterial action against human bacterial pathogens like B. subtilis and S. aureus as gram positive and P. aeruginosa and E. coli as gram negative with inhibition zones of 24.3 0.57, 17.4 0.75 and 20.5 0.5, 19.8 1.6 mm respectively, and the obtained results were superior to the nanocomposite without silver. Moreover, in-vitro cytotoxicity effects of biosynthesized CoFe2O4 and CoFe2O4@Ag were performed on the human breast cancer cell MCF-7. It was found that the MCF-7 cells' 50% inhibitory concentration (IC50) was 60 ?g/mL. Additionally, biosynthesized CoFe2O4 and CoFe2O4@Ag nanocomposite was used to demonstrate the photocatalytic eradication of Rhodamine Blue (RhB). Due to the addition of Ag, which increases surface area, conductivity, and increased charge carrier separation, the CoFe2O4@Ag nanocomposite exhibits a high percentage of photocatalytic degradation of ? 98% within 35 min under UV light irradiation. The photocatalytic performance of as-synthesised nanocomposite was evaluated using dye degradation-adsorption in both natural light and dark condition. Under dark conditions, it was found that 2 mg mL?1 CoFe2O4@Ag in RhB aqueous solution (5 ppm) causes dye adsorption in 30 min with an effectiveness of 72%. Consequently, it is anticipated that the CoFe2O4@Ag nanocomposite will be a promising photocatalyst and possibly a noble material for environmental remediation applications. 2023 Elsevier Ltd
Punyasamudram S.; Puthalapattu R.P.; Bathinapatla A.; Mulpuri R.; Kanchi S.; Kumar P.V.N.
ISSN: 456535; PubMed ID: 38070614; CODEN: CMSHA
https://doi.org/10.1016/j.chemosphere.2023.140892 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179602783&doi=10.1016%2fj.chemosphere.2023.140892&partnerID=40&md5=064321af3e1d5130b1a1ee5ad148f97d
Punyasamudram S., Department of Chemistry, GITAM University, Telangana, Hyderabad, 502329, India, Department of Chemistry, Sri Padmavati Mahila Visvavidyalayam, Andhra Pradesh, Tirupati, 517502, India; Puthalapattu R.P., Department of Chemistry, Institute of Aeronautical Engineering, Telangana, Hyderabad, 500043, India; Bathinapatla A., Department of Chemistry, CMR Institute of Technology, Bengaluru, 560037, India, Centre of Excellence- Sensors & Nanoelectronics, CMR Institute of Technology, Bengaluru, 560037, India; Mulpuri R., Department of Chemistry, Raghu Engineering College (Autonomous), Dakamarri (v), Bheeminipatnam, Andhra Pradesh, Visakhapatnam, 531162, India; Kanchi S., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Kumar P.V.N., Department of Chemistry, GITAM University, Telangana, Hyderabad, 502329, India
Are expensive decisions impulsive? Young adults impulsive housing and real estate buying behavior in India
Hedonic value; Housing and real estate; Impulse buying behavior; Materialism; Psychological factors; Social media influence; Website quality; Young consumers
Purpose: The purpose of the study is to determine website quality, materialism, psychological factors, hedonic value and social media as factors that influence the young adults impulsive housing and real estate buying behavior in India. In addition, this study also measures the mediating effects of social media influence between psychological factors and hedonic value and young adults impulsive housing and real estate buying behavior. Design/methodology/approach: Related literature, quantifiable variables with a five-point Likert Scale, hypothesis testing and mediators are used to study the model. A systematic questionnaire that was divided into six sections was used. A total of 385 valid responses were collected and analyzed through a structural equation model. Findings: The results suggest that materialism, psychological factors and social media have a considerable impact on young adults impulsive housing and real estate buying behavior. The findings also ascertained that website quality and hedonic value do not have a considerable impact on young adults impulsive housing and real estate buying behavior. Research limitations/implications: This study is limited to the responses of young consumers from a limited number of brokers and regions in India. Future studies could be more widespread across the globe. Originality/value: As per the review of existing literature, this research is the first, to the best of the authors knowledge, to determine the factors affecting the impulse buying decision mainly in the housing and real estate sector with the target consumers being young. 2022, Emerald Publishing Limited.
International Journal of Housing Markets and Analysis, Vol-17, No. 2, pp. 266-286.
https://doi.org/10.1108/IJHMA-06-2022-0090 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138048171&doi=10.1108%2fIJHMA-06-2022-0090&partnerID=40&md5=273536de7490b1179d568cb2ec2c4cc4
Sehra S.K., School of Business and Management, CHRIST (Deemed to be University) Pune Lavasa Campus, Lavasa, India; Godwin B.J., School of Business and Management, CHRIST (Deemed to be University) Pune Lavasa Campus, Lavasa, India; George J.P., School of Business and Management, CHRIST (Deemed to be University) Pune Lavasa Campus, Lavasa, India
Fluorescent imidazole derived sensor for selective in vitro and in vivo Fe2+ detection and bioimaging in zebrafish with DFT studies
Bio-imaging; Coumarin; Cytotoxicity; Fe2+sensor; Imidazole; Zebrafish
Herein, we have developed imidazole derivatized fluorescent probes IM-1 and IM-2 for extremely selective detection of Fe2+ with rapid response (LOD: 3.245 ?M for IM-1 and 0.297 ?M for IM-2) and excellent binding constants (0.214 105 M?1 and 1.004 105 M?1). Aqueous ethanol system was employed to assess the sensing potency of the probes both in vitro and in vivo in zebrafish is the main highlight of this work. The synthesized fluorophores possess admirable quantum yields of 0.61 and 0.78. The 1:1 binding mechanism of ligands with Fe2+ ions is supported by Job's plot and ESI-Mass spectrum. The synthesized probes demonstrated limited cytotoxicity both in vitro (MDA-MB-231 cells) and in vivo (zebrafish, Danio Rerio) studies. These results prompted us to employ the probes IM-1 and IM-2 to trace out intra cellular Fe2+ ions in zebrafish embryos. 2024 Elsevier B.V.
Nesaragi A.R.; Ahmed J.; Alsaiari M.; Naik L.; Kalagatur N.K.; Chandan H.R.; Hoolageri S.R.; Harraz F.A.; Balakrishna R.G.; Patil S.A.
https://doi.org/10.1016/j.optmat.2024.114850 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182504904&doi=10.1016%2fj.optmat.2024.114850&partnerID=40&md5=4829a33482739c78b8e59cc2a313cd23
Nesaragi A.R., Centre for Nano and Material Sciences, Jain (Deemed-to-be University), Jain Global Campus, Kanakapura, Karnataka, Bangalore, 562112, India; Ahmed J., Promising Centre for Sensors and Electronic Devices (PCSED), Advanced Materials and Nano-Research Centre, Najran University, Najran, 11001, Saudi Arabia, Department of Chemistry, Faculty of Science and Arts, Najran University, Najran, 11001, Saudi Arabia; Alsaiari M., Promising Centre for Sensors and Electronic Devices (PCSED), Advanced Materials and Nano-Research Centre, Najran University, Najran, 11001, Saudi Arabia, Department of Chemistry, Faculty of Science and Arts at Sharurah, Najran University, Sharurah, 68342, Saudi Arabia; Naik L., Department of Physics and Electronics, CHRIST (Deemed-to-be University), Bangalore Central Campus, Karnataka, Bengaluru, 560029, India; Kalagatur N.K., DRDO-BU, Centre for Life Sciences, Tamil Nadu, Coimbatore, 641 046, India; Chandan H.R., Centre for Nano and Material Sciences, Jain (Deemed-to-be University), Jain Global Campus, Kanakapura, Karnataka, Bangalore, 562112, India; Hoolageri S.R., Department of Studies in Chemistry, Karnatak University, Karnataka, Dharwad, 580003, India; Harraz F.A., Promising Centre for Sensors and Electronic Devices (PCSED), Advanced Materials and Nano-Research Centre, Najran University, Najran, 11001, Saudi Arabia, Department of Chemistry, Faculty of Science and Arts at Sharurah, Najran University, Sharurah, 68342, Saudi Arabia; Balakrishna R.G., Centre for Nano and Material Sciences, Jain (Deemed-to-be University), Jain Global Campus, Kanakapura, Karnataka, Bangalore, 562112, India; Patil S.A., Centre for Nano and Material Sciences, Jain (Deemed-to-be University), Jain Global Campus, Kanakapura, Karnataka, Bangalore, 562112, India
An efficient deep learning based stress monitoring model through wearable devices for health care applications
Deep learning (DL); Electrodermal activity (EDA) Signal; Grey wolf optimization (GWO); Random forest (RF); Stress detection
Due to the mental stress of the human, the negative effects are known to be recent decades. Early detections of high level stresses are necessary to stop harmful consequences. Studies have proposed on wearable technologies which detect human stress. This study proposes stress detection systems which use physiological signals of people collected by wearable technologies and attached to human bodies. They can carry it during their daily routine. This works proposed system includes removal of artifacts in bio signals and feature extractions from these cleaned signals. Since, DL (deep learning) based models are proven to be the best for these analyses, this article uses a random differential GWO (Grey wolf optimization) algorithm for feature extraction and a ML (machine learning) algorithm called RF (random forest) has been used for classification of the human body parameters like activities of the heart, conductance in skins and corresponding accelerometer signals. The proposed stress detection system is implemented with the real time data gathered from 21 participants. This approach can detect the stress of a human and prevent it from early stages with necessary lectures to avoid the negative effects. 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Prakash P.; Prabu P.; Sakthivel V.; Sivakumar R.
Optical and Quantum Electronics, Vol-56, No. 2
Prakash P., Vellore Institute of Technology, Tamilnadu, Chennai, India; Prabu P., CHRIST (Deemed to be University), Bengaluru, 560029, India; Sakthivel V., Vellore Institute of Technology, Tamilnadu, Chennai, India; Sivakumar R., CHRIST (Deemed to be University), Bengaluru, 560029, India
Sibling influence on musical identity in emerging adults
Emerging adulthood; Identity Exploration; Musical Identity; Sibling Relationships
A key characteristic and an important task of emerging adulthood is identity development. Music provides an important context for identity development, especially in emerging adults, and siblings in turn play an important role in the process of identity development. Using a qualitative narrative approach, this study aims to understand the role of siblings in the musical identity development of emerging adults. Five emerging adults between the age range of 1825years were recruited and interviewed individually. Thematic narrative analysis of the transcripts gave rise to 3 themes: Sibling Relationships, Early Identity and Discrepancy, and The Growth Journey. Overall, it was evident that siblings played a crucial role and had a large impact on the identity development process of the participants. This study provided support for Arnett's theory of emerging adulthood, with identity exploration being a defining feature of this developmental period. Further, the study also supported the notion of important others impacting the identity verification process according to identity control theory. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.
Current Psychology, Vol-43, No. 8, pp. 7084-7096.
Kuriakose A.D., Counselling Psychology, CHRIST (Deemed to Be) University, (Psychology Department), Karnataka, Bengaluru, India; Prasadam S.E., Counselling Psychology, CHRIST (Deemed to Be) University, (Psychology Department), Karnataka, Bengaluru, India
An adaptive inertia weight teachinglearning-based optimization for optimal energy balance in microgrid considering islanded conditions
Adaptive teachinglearning-based optimization; Islanding mode; Microgrid; Multi-objective optimization; Optimal load control; Renewable energy
The energy balance in islanded microgrids is a complex task due to various operational constraints. This paper proposes a new approach to multi-objective optimization for achieving energy balance in aMicrogrid(MG) in both islanded and normal modes. Optimal load control (OLC)is achallenge, due to a lack of capacity to generate the global optimum after each run. The latest variant of Teaching Learning Based Optimization (TLBO), known as Adaptive-TLBO, includes both modifications during exploitation and exploration stages (ATLBO). The results achievedwith the proposed method are exceptional on a modified IEEE 33-bus system. In addition to the improvement of the voltage profile and the decrease of the distribution losses, the energy balance improves with the method. The proposed ATLBO algorithm overrides any proposed other algorithm, as shown by comparison with PSO, base TLBO, Backtrackingsearch algorithm (BSA) and cuckoo search algorithms, etc. (CSA). The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022.
Energy Systems, Vol-15, No. 1, pp. 141-166.
Springer Science and Business Media Deutschland GmbH
John N., School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Janamala V., School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Rodrigues J., School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India
Psychological experiences and travel Adversities: A Mixed-Method study of the regular commuters in traffic congestion
Fight-or-flight; Negative affect; Negative road occurrences; Psychological experiences and consequences; Traffic congestion; Travel adversities
This study investigated the psychological experiences and consequences of travel adversities during traffic congestion using a three-phase sequential exploratory mixed-methods design. Phase 1 explored the travel adversities, psychological experiences, and consequences of a sample of ten (four women and six men) regular commuters of Bangalore's congested roads using semi-structured interviews. In phase 2, a checklist was developed listing the fundamental themes from phase 1 with Likert-type responses ranging from 0 (never) to 5 (always). Phase 3 gathered data in the checklist and tested the statistical validity of the thematic model in a sample of 190 (81 women and 103 men) regular commuters. Attride-Stirling model thematic network was established with 57 fundamental themes categorized and assigned under the organizing themes of travel adversities (n = 6), negative affect (n = 28), fight (n = 7), flight (n = 6), and negative road occurrences (n = 10), in the global theme, psychological experiences and consequences. Structural equation modeling indicated that (1) negative affect significantly predicted fight and flight, (2) fight is a significant predictor of negative road occurrences, and (3) psychological experiences and consequences create a self-perpetuating cycle, with travel adversity triggering negative emotions, which results in fight responses leading to negative road occurrences, further intensifying travel adversity. A mathematical model is established based on this statistical validation, which holds potential applications in real-time traffic algorithms. 2024
Celine Liya M.; Kareepadath Rajan S.; Kenath A.
Transportation Research Part F: Traffic Psychology and Behaviour, Vol-101, pp. 130-141.
https://doi.org/10.1016/j.trf.2024.01.006 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182693080&doi=10.1016%2fj.trf.2024.01.006&partnerID=40&md5=a72bd5432f6f928b9e9576375b6db63e
Celine Liya M., Department of Psychology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Kareepadath Rajan S., Department of Psychology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Kenath A., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India
A Metal-Free KOtBu-Mediated Protocol towards the Synthesis of Quinolines, Indenoquinolines and Acridines
Acridines; Indenoquinolines; KOtBu; Naphthyridines; Quinolines
An expeditious strategy has been developed for the synthesis of diverse quinolines, indenoquinolines and acridines using KOtBu-mediated reaction conditions. The designed process utilizes 2-aminoaryl carbaldehydes/2-aminoaryl ketones and methyl/methylene group containing ketones as readily available feedstock. The chemical transformation was affected at room temperature within a short duration of time to obtain diverse N-heterocycles yields up to 92 %. The established process also exhibits considerable functional group tolerance with an operational simplicity. 2024 Wiley-VCH GmbH.
Satya Kishore P.; Gujjarappa R.; Jagdishbhai Patel M.; Polina S.; Kishore Putta V.P.R.; Singh V.; Malakar C.C.; Pralhad Pujar P.
https://doi.org/10.1002/slct.202304897 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182806309&doi=10.1002%2fslct.202304897&partnerID=40&md5=7ec5d81cea645c94947acd528ac9f9c3
Satya Kishore P., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Gujjarappa R., Department of Chemistry, National Institute of Technology Manipur, Langol, Imphal, Manipur, 795004, India; Jagdishbhai Patel M., Department of Chemistry, Indian Institute of Technology Guwahati, Assam, Guwahati, 781 039, India; Polina S., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Kishore Putta V.P.R., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Singh V., Department of Chemistry, Central University of Punjab, Punjab, Bathinda, 151001, India; Malakar C.C., Department of Chemistry, National Institute of Technology Manipur, Langol, Imphal, Manipur, 795004, India; Pralhad Pujar P., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India
Transformational leadership and organizational citizenship behavior: new mediating roles for trustworthiness and trust in team leaders
Ability; Benevolence; Integrity; Malaysia; Organizational citizenship behavior; Transformational leadership; Trust; Trustworthiness
This study investigates the pivotal role of trust in bridging the effects of transformational leadership on organizational citizenship behavior (OCB). The study was conducted using a multilevel longitudinal approach with 276 employees in 71 teams from private medium-sized organizations in Kuala Lumpur, Malaysia. Transformational leadership was found to be positively related to: (1) three facets of trustworthiness (ability, benevolence, and integrity); (2) trust in the leader; and (3) OCB. All three facets of trustworthiness mediated the relationship between transformational leadership and trust in leaders. In addition, trust in the leader mediated only the relationship between the benevolence facet of trustworthiness and OCB. As OCB is inherently benevolent, these findings not only are consistent with the principle of compatibility, but they also contribute to theorizing about how trust plays an important role in the influence of transformational leadership on employees. The Author(s) 2023.
Lee M.C.C.; Lin M.-H.; Srinivasan P.M.; Carr S.C.
Current Psychology, Vol-43, No. 11, pp. 9567-9582.
All Open Access; Hybrid Gold Open Access
https://doi.org/10.1007/s12144-023-05095-x https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168377659&doi=10.1007%2fs12144-023-05095-x&partnerID=40&md5=13f6c8c91340f0117facebd7adc021d0
Lee M.C.C., School of Psychology, Massey University, Auckland, Albany, 0745, New Zealand; Lin M.-H., Department of Psychology, Sunway University, Bandar Sunway, Selangor, Petaling Jaya, 47500, Malaysia; Srinivasan P.M., Department of Psychology, Christ University, Karnataka, Bengaluru, 560029, India; Carr S.C., School of Psychology, Massey University, Auckland, Albany, 0745, New Zealand
Diverse Morphologies of Nb2O5 Nanomaterials: A Comparative Study for the Growth Optimization of Elongated Spiky Nb2O5 and Carbon Nanosphere Composite
carbon composite; elongated spiky sea urchins; flakes; Morphologies; Nb2O5; sheets
Controlled synthesis and design of nanomaterials with intricate morphologies and active phases offer new prospects in harnessing their unique chemical and physical properties for various applications. Herein, a facile and efficient hydrothermal approach is reported for obtaining various complex Nb2O5 nanostructures, including thin sheets, thick flakes, spiky and elongated spiky sea urchin morphologies using urotropin as a growth-directing and hydrolyzing agent in various mixed and pure solvents. The detailed structural and chemical composition, surface morphology and crystallinity of as-synthesized Nb2O5 nanostructures are presented. The urotropin concentration, reaction time, and water-ethanol solvent mixture play a critical role for obtaining the elongated spiky sea urchin morphologies. The spiky Nb2O5 structures show a pseudohexagonal phase with less urotropin content, while thin sheets are obtained with a higher urotropin concentration and are primarily amorphous. These structures undergo transformation in their crystal phase and morphologies during calcination at higher temperatures revealing the active role of urotropin in stabilizing them. A composite of spiky sea urchin Nb2O5-carbon nanospheres (suNb2O5-CNS) is achieved by in-situ growth of Nb2O5 in the presence of CNS without compromising on morphology, phase, and crystallinity. suNb2O5-CNS composite is shown to possess higher charge storage capacity compared to its constituents for supercapacitor applications. 2023 Wiley-VCH GmbH.
Kommula B.; Prabhu B R.; Kopperi H.; Bhat V.S.; Hegde G.; John N.S.
Particle and Particle Systems Characterization, Vol-41, No. 3
https://doi.org/10.1002/ppsc.202300118 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174692104&doi=10.1002%2fppsc.202300118&partnerID=40&md5=1b54841f2bac3da59cd90c7632f5713e
Kommula B., Centre for Nano and Soft Matter Sciences (CeNS), Shivanapura, Bengaluru, 562162, India; Prabhu B R., Centre for Nano and Soft Matter Sciences (CeNS), Shivanapura, Bengaluru, 562162, India, Prayoga Institute of Education Research, Kanakapura Road, Bengaluru, 560082, India; Kopperi H., Centre for Nano and Soft Matter Sciences (CeNS), Shivanapura, Bengaluru, 562162, India; Bhat V.S., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, 560029, India; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, 560029, India; John N.S., Centre for Nano and Soft Matter Sciences (CeNS), Shivanapura, Bengaluru, 562162, India
Effective Groundnut Crop Management by Early Prediction of Leaf Diseases through Convolutional Neural Networks
CNN Classifier; Deep Neural Network; Groundnut; Groundnut Diseases Detection; Image Classification; Machine Learning
Groundnut (Arachis hypogaea L.), is the sixth-most significant leguminous oilseed crop grown all over worldwide. Groundnut, due to its high content of various dietary fibers, is classified as a valuable cash, staple and a feed crop for millions of households around the world. However, due to varied environmental factors, the crop is quite prone to many kinds of diseases, identifiable through its leaves, for which Groundnut producers have to suffer major losses every year. An early detection of such diseases is essential in order to save this significant crop and avoid huge losses. This paper presents a novel Machine Learning based Deep Convolution Neural Network (CNN) model CNN8GN. The model uses transfer learning technique for detection of such diseases in Groundnuts at an early stage of crop production. A Groundnut real image data set containing a total of 5322 real images for six different classes of Groundnut leaf diseases, captured in the fields of Gujarat state (India) during September 2022 to February 2023, is generated for training, testing and evaluation of the proposed model. The proposed deep learning model architecture is designed on eight different layers and can be used on varied sized images using simple ReLu and Softmax activation functions. The performance of the proposed CNN8GN model on Groundnut real image dataset is examined using a detailed experimental analysis with other six pre-trained models: VGG16, InceptionV3, Resnet50, ResNet152V2, VGG19, and MobileNetV2. CNN8GN results are also examined in detail using different sets of input parameters values. The proposed model has shown significant improvements for disease detection in comparative analysis with 99.11% training and 91.25% testing accuracy. The Author(s) 2024.
Kukadiya H.; Meva D.; Arora N.; Srivastava S.
International Research Journal of Multidisciplinary Technovation, Vol-6, No. 1, pp. 17-31.
https://doi.org/10.54392/irjmt2412 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183627112&doi=10.54392%2firjmt2412&partnerID=40&md5=e2047d7d58ce36efc7353ac9d72c07a8
Kukadiya H., Department of Computer Application, Marwadi University, Gujarat, Rajkot, 360003, India; Meva D., Department of Computer Application, Marwadi University, Gujarat, Rajkot, 360003, India; Arora N., Department of Computer Science, Kalindi College, University of Delhi, Delhi, 110005, India; Srivastava S., School of Sciences, Christ (Deemed to be University), Ghaziabad, Delhi, 201003, India
Stability Analyses of BrinkmanBard Convection in Hybrid-Nanoliquid Saturated-Porous Medium Using Local Thermal Non-equilibrium Model
BrinkmanBard convection; Hybrid nanoliquid; Local thermal non-equilibrium; Porous medium; Stability analysis
This paper carries out linear and weakly non-linear stability analyses of natural convection in a Newtonian hybrid-nanoliquid saturated porous medium. The Boussinesq approximation is assumed to be valid in the study, and a two-phase energy model is used. The weighted residual Galerkin technique is employed to obtain the expression for the Rayleigh number and Lorenz model by using a truncated double Fourier series solution. The quadratic non-linear Lorenz model is solved numerically by using the RungeKuttaFehlberg method. Water is considered as a carrier liquid, and copper and alumina nanoparticles are considered with dilute concentration. Linear stability analysis reveals the onset of convection prepones in a hybrid nanoliquid-saturated porous medium. The amount of heat transport is maximum in a hybrid nanoliquid saturated porous medium and minimum in a liquid-saturated porous medium. Local thermal non-equilibrium situation ceases at higher rates of interphase heat transfer coefficient. The assumption of local thermal non-equilibrium is prominent in hybrid nanoliquid saturated porous medium. The results of the hybrid-nanoliquid channel, a hybrid nanoliquid saturated porous medium with the local thermal assumption, are presented as a limiting case of the study. 2024, The Author(s), under exclusive licence to Springer Nature India Private Limited.
Siddabasappa C., Department of Sciences and Humanities, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 074, India; Sakshath T.N., Department of Mathematics, R V College of Engineering, Mysore Road, RV Vidyaniketan Post, Karnataka, Bangalore, 560 059, India