Time resolved spectroscopy of a GRS 1915 + 105 flare during its unusual low state using AstroSat
accretion, accretion discs; stars: black holes; stars: flare; stars: individual: GRS 1915 + 105; X-rays: binaries
Since its disco v ery in 1992, GRS 1915 + 105 has been among the brightest sources in the X-ray sky. Ho we ver, in early 2018, it dimmed significantly and has stayed in this faint state ever since. We report on AstroSat and NuSTAR observation of GRS 1915 + 105 in its unusual low/hard state during 2019 May. We performed time-resolved spectroscopy of the X-ray flares observed in this state and found that the spectra can be fitted well using highly ionized absorption models. We further show that the spectra can also be fitted using a highly relativistic reflection dominated model, where for the lamp post geometry, the X-ray emitting source is al w ays very close to the central black hole. For both interpretations, the flare can be attributed to a change in the intrinsic flux, rather than dramatic variation in the absorption or geometry. These reflection dominated spectra are very similar to the reflection dominated spectra reported for active galactic nuclei in their low flux states. 2024 The Author(s).
Boked S.; Maqbool B.; Jithesh V.; Misra R.; Bhat N.I.; Bhulla Y.
Monthly Notices of the Royal Astronomical Society, Vol-528, No. 4, pp. 7016-7026.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.1093/mnras/stae440 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185892060&doi=10.1093%2fmnras%2fstae440&partnerID=40&md5=4ff771238178dd09610e3877d29471d4
Boked S., Department of Physics, University of Kashmir, Srinagar, 190006, India; Maqbool B., Islamic University of Science and Technology Awantipora, Pulwama, 192122, India; Jithesh V., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bengaluru, 560029, India; Misra R., Inter-University Centre for Astronomy and Astrophysics, Post Bag 4, Ganeshkhind, Pune, 411007, India; Bhat N.I., Department of Physics, University of Kashmir, Srinagar, 190006, India, Islamic University of Science and Technology Awantipora, Pulwama, 192122, India; Bhulla Y., Pacific Academy of Higher Education and Research University, Udaipur, 313003, India
Biogenic ZnO Nanoparticles Derived from Garcinia gummi-gutta Leaves: Synthesis, Characterization and its Multifaceted Applications
Antimicrobial activity; Cytotoxic activity; Green synthesis; Photocatalytic activity; ZnO nanoparticles
The current study focused on the bioreduction synthesis of ZnO nanoparticles using Garcinia gummi-gutta leaf extracts. The UV-vis analysis of the nanoparticles has reported the formation of an SPR peak at 379 nm. The functional groups taking part in the reduction reaction were analyzed using the FTIR technique and the average crystalline size of ZnO nanoparticles were found to be 22.27 nm from XRD measurements. The SEM and TEM images revealed the hexagonal shape of the nanoparticles with an average size 72.78 nm and 71.91 nm, respectively. Further, the synthesized nanoparticles were reported to be efficient degradation reactive textile dyes. The photodegradation results reported 92-100% degradation of the reactive dyes within 80-320 min. The antibacterial efficacy of the nanoparticles was investigated and the MIC of the nanoparticles was found to be 100 g/mL. The synthesized ZnO nanoparticles have exhibited significant cytotoxic effects on the MCF and HEP-G2 cell lines. 2024 Asian Publication Corporation. All rights reserved.
Asian Journal of Chemistry, Vol-36, No. 3, pp. 603-612.
https://doi.org/10.14233/ajchem.2024.31059 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186673116&doi=10.14233%2fajchem.2024.31059&partnerID=40&md5=36d1dca9d6e8c826927f1b3d78ba85fb
Kurian J.T., Department of Life Sciences, Christ University, Bangalore, 560029, India; Joseph K.S., Department of Life Sciences, Christ University, Bangalore, 560029, India
Bounds on Sombor Index for Corona Products on R-Graphs
compounds graph; graph operations; Sombor index; triangle parallel graphs
Operations in the theory of graphs has a substantial influence in the analytical and factual dimensions of the domain. In the realm of chemical graph theory, topological descriptor serves as a comprehensive graph invariant linked with a specific molecular structure. The study on the Sombor index is initiated recently by Ivan Gutman. The triangle parallel graph comprises of the edges of subdivision graph along with the edges of the original graph. In this paper, we make use of combinatorial inequalities related with the vertices, edges and the neighborhood concepts as well as the other topological descriptors in the computations for the determination of bounds of Sombor index for certain corona products involving the triangle parallel graph. 2024 Azarbaijan Shahid Madani University.
Communications in Combinatorics and Optimization, Vol-9, No. 1, pp. 101-117.
Sarkar I., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Nanjappa M., School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, 560074, India; Gutman I., Faculty of Science, University of Kragujevac, P.O.Box 60, Kragujevac, 34000, Serbia
Mathematical modeling to investigate the influence of vaccination and booster doses on the spread of Omicron
Basic reproduction number; Omicron; Predictor corrector method; Stability; Vaccination
The emergence of new variants, such as Omicron, has raised concerns regarding the transmission dynamics of COVID-19 and the effectiveness of vaccination strategies. This paper proposes a mathematical model to investigate the impact of vaccination and booster doses on Omicron transmission dynamics, considering various infection compartments. The model incorporates multiple compartments representing different stages of infection, including susceptible individuals, vaccinated individuals, boosted individuals, and those infected with Omicron. The infection dynamics are captured by parameters such as vaccine efficacy, vaccination with booster received efficacy, and infection rate. Using mathematical analysis and numerical simulations, we explore how different vaccination and booster strategies affect the spread of Omicron. The normalized sensitivity analysis method of R0 is investigated to understand the importance of parameters in disease transmission. Furthermore, we assess the influence of infection compartments, such as asymptomatic and symptomatic cases, on overall transmission dynamics. 2023 Elsevier B.V.
Kavya K.N.; Veeresha P.; Baskonus H.M.; Alsulami M.
Communications in Nonlinear Science and Numerical Simulation, Vol-130
https://doi.org/10.1016/j.cnsns.2023.107755 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178497716&doi=10.1016%2fj.cnsns.2023.107755&partnerID=40&md5=fcc0d4e770f99827b6bd02ecf19307bb
Kavya K.N., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Veeresha P., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Baskonus H.M., Department of Mathematics and Science Education, Faculty of Education, Harran University, Sanliurfa, Turkey; Alsulami M., Department of Mathematics, Faculty of Science, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia
On equitable near proper coloring of graphs
equitable coloring; equitable near proper coloring; Improper coloring; near proper coloring
A defective vertex coloring of a graph is a coloring in which some adjacent vertices may have the same color. An edge whose adjacent vertices have the same color is called a bad edge. A defective coloring of a graph G with minimum possible number of bad edges in G is known as a near proper coloring of G. In this paper, we introduce the notion of equitable near proper coloring of graphs and determine the minimum number of bad edges obtained from an equitable near proper coloring of some graph classes. 2024 Azarbaijan Shahid Madani University.
Communications in Combinatorics and Optimization, Vol-9, No. 1, pp. 131-143.
Jose S., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Samuel L.C., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Naduvath S., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India
The focus of this case is the human resources management challenges faced by the Chief Human Resources Officer (CHRO) at CABiT Cabs. This case discusses the CHROs dilemma in resolving the challenges. CABiT Cabs operations and expansion are discussed to provide students an overview of the dynamics and challenges of the radio taxi business. In addition, this case explores the weakness in the CABiT business model and the challenges on the human resources front. The case extensively discusses the dynamics of a start-up and the pressures faced by the top management. Finally, the options available to the protagonist to address the challenges are discussed. The dilemma faced by the protagonist in her career front is also discussed in this case. 2024 by World Scientific Publishing Co. and Asia Academy of Management.
Dsouza A.; Aranha R.; Saldanha A.; Rani J.
Asian Case Research Journal, Vol-28, No. 1, pp. 1-15.
Dsouza A., School of Business & Management, Christ (Deemed to be University), Lavasa Campus, Maharashtra, Lavasa, India; Aranha R., School of Business & Management, Christ (Deemed to be University), Karnataka, Bangalore, India; Saldanha A., St. Josephs Institute of Management, Karnataka, Bangalore, India; Rani J., Department of Management, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Majitar, Sikkim, East Sikkim, 737136, India
Nutritional, biochemical and antioxidant activities of edible and non-edible parts of Punica granatum L.
antioxidative properties; nutritional; phytochemical; Punica granatum L
In the present study, the nutritional profiling and antioxidant analysis of the different parts of Punica granatum was done. In the nutritional profiling, different percentages of moisture content was found in the flower (9.63%), leaf (9.17%), peel (5.34%), root (8.08%), stem (4.09%) and fruit (3.54%). Ash content was recorded higher in the stem (30%/g) followed by root, leaf, flower, fruit and peel. Also, the major and minor elements like nitrogen, potassium, calcium, phosphorus, magnesium, sulphur, zinc, copper, manganese and iron were analysed in different parts of P. granatum. The fruit recorded the highest amount of nitrogen (5.710.01%) and phosphorus (5.710.01%) whereas peel was recorded with more potassium (0.990.01%). The phytochemical quantification showed the major content of carbohydrates in the flower (317.96 mg/g) and leaf (315.62 mg/g). The protein was recorded higher in fruit (69 mg/g) and proline in root (19.54 mg/g). The TPC was recorded more in the peel (240.72 g/g) followed by the flower (223.05 g/g). P. granatum peel was recorded with maximum flavonoid content (873.13 g/g) and had a higher antioxidative response in comparison to other plant parts of P. granatum. 2024, Indian journals. All rights reserved.
Medicinal Plants, Vol-16, No. 1, pp. 182-190.
Chole P.B., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Manjunath B.T., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India
Determinants of renewable stock returns: The role of global supply chain pressure
Climate policy uncertainty; crude oil prices; Global economic activity; Global supply chain pressure; renewable energy stocks
This study investigates the determinants of the global renewable stocks index returns from November 2003 to August 2022. The explanatory variables include global supply chain pressure measures, climate policy uncertainty, global economic activity, and crude oil prices. The long-run panel dynamic Autoregressive Distributed Lag estimations show that the global supply chain pressure, climate policy uncertainty, and global economic activity redound renewable stock returns. These results are robust enough to utilise different long-run estimation techniques. Potential policy implications are also discussed. 2023 The Authors
Hu G.; Gozgor G.; Lu Z.; Mahalik M.K.; Pal S.
Renewable and Sustainable Energy Reviews, Vol-191
https://doi.org/10.1016/j.rser.2023.114182 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179888809&doi=10.1016%2fj.rser.2023.114182&partnerID=40&md5=6692a564989c54a016ada078af439f98
Hu G., School of Business, Henan Normal University, Xinxiang, China, School of Digital Commerce, Zhejiang Yuexiu University, Shaoxing, China; Gozgor G., School of Management, University of Bradford, Bradford, United Kingdom, Adnan Kassar School of Business, Lebanese American University, Beirut, Lebanon, Faculty of Political Sciences, Istanbul Medeniyet University, Istanbul, Turkey; Lu Z., School of Management, Qingdao City University, Qingdao, China; Mahalik M.K., Department of Humanities and Social Sciences, Indian Institute of Technology Kharagpur, West Bengal, India; Pal S., Department of Humanities and Social Sciences, Indian Institute of Technology Kharagpur, West Bengal, India, School of Business and Management, Christ University (Deemed to be University), Karnataka, Bangaluru, 560029, India
Examining the Impact of Argument Quality and Source Credibility on Consumers Behavioral Intention Toward Green Cosmetics: The Moderating Role of Perceived Innovativeness
ANN; argument quality; artificial neural network; eWOM; green cosmetics; perceived innovativeness; source credibility; theory of planned behavior
Purpose: This study integrated the knowledge-attitude-behavior (KAB) model and the theory of planned behavior (TPB) to analyze how elements of electronic word of mouth (eWOM)argument quality (AQ) and source credibility (CR)influenced customers green cosmetics behavioral intention (BI). Methodology: Data were collected from a sample of 350 customers through an online survey, and a two-stage process was used to evaluate the research model. In the first stage, linear associations between the various elements of the theoretical model were determined using structural equation modeling (SEM). The second stage involved evaluating the predicting efficacy of the constructs, using an artificial neural network (ANN) framework. Findings: The findings of the multi-analytical study revealed that attitude (Atd), perceived behavioral control (Pbcon), and source credibility (CR) influenced consumers intentions to buy green cosmetics. Moreover, the sources credibility (CR) and the arguments quality (AQ) also positively influenced consumer attitude (Atd). The models appeared to have acceptable prediction accuracy based on the ANN studys root mean square of error (RMSE) values. Originality: The study contributed to the body of green cosmetics literature by integrating knowledge-attitude-behavior (KAB) and planned behavior (TPB) theory. The novelty of this research also lies in examining the moderating effect of perceived innovativeness (PI) for developing a robust predictive framework for green cosmetics purchase intention using artificial neural networks (ANN). 2024, Associated Management Consultants Pvt. Ltd.. All rights reserved.
Mathur S.; Vishnoi S.Kr.; Bagga T.; Mittal A.; Mittal A.
Prabandhan: Indian Journal of Management, Vol-17, No. 3, pp. 26-47.
Associated Management Consultants Pvt. Ltd.
Mathur S., CHRIST (Deemed to be University) Delhi NCR, Nandgram Road, Marium Nagar Sewa Nagar, Uttar Pradesh, Ghaziabad, India; Vishnoi S.Kr., Institute of Management Studies, Grand Trunk Rd, Industrial Area, Lal Kuan, Uttar Pradesh, Ghaziabad, 201 009, India; Bagga T., Department of Management Studies, FMS, Jamia Millia Islamia, Jamia Nagar, Okhla, Delhi, New Delhi, 110 025, India; Mittal A., Dept. of Economics, Hansraj College, University of Delhi, Mahatma Hans Raj Marg, Malka Ganj, North Campus, Delhi, 110 007, India; Mittal A., Dept. of Commerce, Hansraj College, University of Delhi, Mahatma Hans Raj Marg, Malka Ganj, North Campus, Delhi, 110 007, India
Commercialization potential of PET (polyethylene terephthalate) recycled nanomaterials: A review on validation parameters
Circular economy; Growth drivers; Nanomaterials; PET commercialization; Safety considerations; Scale-up and manufacturing challenges
Polyethylene Terephthalate (PET) is a polymer which is considered as one of the major contaminants to the environment. The PET waste materials can be recycled to produce value-added products. PET can be converted to nanoparticles, nanofibers, nanocomposites, and nano coatings. To extend the applications of PET nanomaterials, understanding its commercialization potential is important. In addition, knowledge about the factors affecting recycling of PET based nanomaterials is essential. The presented review is focused on understanding the PET commercialization aspects, keeping in mind market analysis, growth drivers, regulatory affairs, safety considerations, issues associated with scale-up, manufacturing challenges, economic viability, and cost-effectiveness. In addition, the paper elaborates the challenges associated with the use of PET based nanomaterials. These challenges include PET contamination to water, soil, sediments, and human exposure to PET nanomaterials. Moreover, the paper discusses in detail about the factors affecting PET recycling, commercialization, and circular economy with specific emphasis on life cycle assessment (LCA) of PET recycled nanomaterials. 2024 Elsevier Ltd
Kumar V.; Sharma N.; Umesh M.; Sharma R.; Sharma M.; Sharma D.; Sondhi S.; Thomas J.; Kumar D.; Kansal L.; Jha N.K.
https://doi.org/10.1016/j.chemosphere.2024.141453 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185530914&doi=10.1016%2fj.chemosphere.2024.141453&partnerID=40&md5=81adf45e13c88b11e90f410589c98017
Kumar V., Bioconversion and Tissue Engineering (BITE) Laboratory, Department of Community Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Thandalam, 602105, India; Sharma N., Department of Biochemistry, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Thandalam, 602105, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Sharma R., Department of Biotechnology, Chandigarh College of Technology, Chandigarh Group of Colleges, Landran, Punjab, Mohali, 140307, India; Sharma M., Department of Plant Sciences, Central University of Himachal Pradesh, Shahpur Campus, Himachal Pradesh, Kangra, 176206, India; Sharma D., Department of Biotechnology, Chandigarh College of Technology, Chandigarh Group of Colleges, Landran, Punjab, Mohali, 140307, India; Sondhi S., Haryana State Pollution Control Board, C-11, Haryana, Panchkula, India; Thomas J., Department of Biotechnology, Mar Athanasius College, Kerala, India; Kumar D., Department of Biotechnology-UIBT, Chandigarh University, Punjab, India; Kansal L., School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, India; Jha N.K., Centre for Global Health Research, Saveetha Medical College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India, Centre for Research Impact and Outcomes, Chitkara University, Punjab, Rajpura, India, Department of Biotechnology, School of Applied & Life Sciences (SALS), Uttaranchal University, Dehradun, 248007, India
Platinum decorated phosphorous doped graphitic carbon nitride supported molecularly imprinted carbon fibre electrode as a nano-interface for the detection of butylated hydroxy anisole
BHA; Conducting polymer; Electrochemical sensor; MIP; PgCN; Pt NPs
This research generated an electrochemical sensor using a carbon fibre (CFP) paper electrode coated using platinum-decorated phosphorous doped graphitic carbon nitride (Pt/PgCN). This sensor was designed to detect butylated hydroxy anisole (BHA) selectively and sensitively. The molecularly imprinted polymers (MIPs) were synthesized onto the Pt/PgCN coated CFP surface through electropolymerization using BHA as a template and 3-thiophene acetic acid as monomer. Numerous analytical methods were used to characterise the sensor electrode, including cyclic voltammetry, impedance spectroscopy, and electron microscopy. The results showed that the synergetic effect of PgCN, Pt nanoparticles, and PTAA, PgCN and Pt had a positive impact on the electrochemical detection, the sensor's linear range was determined to be between 5 10?10 M and 2.1 10?7 M. The sensor demonstrated excellent stability, good reproducibility, and high selectivity for detecting BHA. Moreover, the proposed sensor successfully detected BHA in real samples. 2024 Elsevier Ltd
https://doi.org/10.1016/j.mtchem.2024.101982 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186499404&doi=10.1016%2fj.mtchem.2024.101982&partnerID=40&md5=79878e2b32a2834150f646151cf23aa1
George A., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Keerthana P., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India
Post-Operative Brain MRI Resection Cavity Segmentation Model and Follow-Up Treatment Assistance
Attention-Enabled U-Net; post-operative magnetic resonance imaging (MRI); resection cavities; segmentation; VGG16 encoder
Post-operative brain magnetic resonance imaging (MRI) segmentation is inherently challenging due to the diverse patterns in brain tissue, which makes it difficult to accurately identify resected areas. Therefore, there is a crucial need for a precise segmentation model. Due to the scarcity of post-operative brain MRI scans, it is not feasible to use complex models that require a large amount of training data. This paper introduces an innovative approach for accurately segmenting and quantifying post-operative brain resection cavities in MRI scans. The proposed model, named Attention-Enhanced VGG-U-Net, integrates VGG16 initial weights in the encoder section and incorporates a self-attention module in the decoder, offering improved accuracy for postoperative brain MRI segmentation. The attention mechanism enhances its accuracy by concentrating on a specific area of interest. The VGG16 model is comparatively lightweight, has pre-trained weights, and allows the model to extract incredibly detailed information from the input. The model is trained on publicly available post-operative brain MRI data and achieved a Dice coefficient value of 0.893. The model is then assessed using a clinical dataset of postoperative brain MRIs. The model facilitates the quantification of the resected regions and enables comparisons with each brain region based on pre-operative images. The capabilities of the model assist radiologists in evaluating surgical success and directing follow-up procedures. 2024 by the authors of this article.
International journal of online and biomedical engineering, Vol-20, No. 5, pp. 133-149.
International Federation of Engineering Education Societies (IFEES)
https://doi.org/10.3991/ijoe.v20i05.45609 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188275640&doi=10.3991%2fijoe.v20i05.45609&partnerID=40&md5=3e2892c029561965ce7daf3e3ec50168
Xavier P.S., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Sathish P.K., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Raju G., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India
An ensemble deep learning model for automatic classification of cotton leaves diseases
Classification; Convolutional neural network; Ensemble model; Hyperparameter tuning; Machine learning
Cotton plant (Gossypium herbaceum), is one of the significant fiber crop grown worldwide. However, the crop is quite prone to leaves diseases, for which deep learning (DL) techniques can be utilized for early disease prediction and prevent stakeholders from losing the harvest. The objective of this paper is to develop a novel ensemble based deep convolutional neural network (DCNN) model developed on two base pretrained models named: VGG16 and InceptionV3 for early detection of cotton leaves diseases. The proposed ensemble model trained on cotton leaves dataset reports higher training and testing prediction accuracies as compared to the base pretrained models. Given that, deep learning architectures have hyper-parameters, this paper presents exhaustive experimental evaluations on ensemble model to tune hyper-parameters named learning rate, optimizer and no of epochs. The suggested hyper-parameter settings can be directly utilized while employing the ensemble model for cotton plant leaves disease detection and prediction. With suggested hyper-parameters settings of learning rate 0.0001, 20 epochs and stochastic gradient descent (SGD) optimizer, ensemble model reported training and testing accuracies of 98% and 95% respectively, which was higher than the training and testing accuracies of VGG16 and InceptionV3 pretrained DCNN models. 2024 Institute of Advanced Engineering and Science. All rights reserved.
Kukadiya H.; Arora N.; Meva D.; Srivastava S.
Indonesian Journal of Electrical Engineering and Computer Science, Vol-33, No. 3, pp. 1942-1949.
Institute of Advanced Engineering and Science
https://doi.org/10.11591/ijeecs.v33.i3.pp1942-1949 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185585750&doi=10.11591%2fijeecs.v33.i3.pp1942-1949&partnerID=40&md5=69791800f23c19717224e468349a1fbc
Kukadiya H., Department of Computer Application, Marwadi University, Rajkot, India; Arora N., Department of Computer Science, Kalindi College, University of Delhi, Delhi, India; Meva D., Department of Computer Application, Marwadi University, Rajkot, India; Srivastava S., School of Sciences, Christ (Deemed to be University), Delhi NCR, India
Patriarchy and Wifehood: A Feminist Reading of One Part Woman and Singarevva and the Palace
Marriage is a socially approved relationship between a man and a woman that binds each other into a permanent, official relation of husband and wife. In a patriarchal culture, the husbands personify dominance and liberty, whereas the wives are expected to be the epitome of fidelity, fecundity and chastity. In the Indian context, the intense devotion of wives towards their husbands defines married women as pativratas. The present study intends to analyze the various aspects that contribute to and shape the formation of the identity of a wife in a marital space through Ponna and Singarevva, the female protagonists of the novels One Part Woman and Singarevva and the Palace, respectively. The paper demonstrates how these female protagonists identity as wives gets suppressed over a period of time and how they succeed in reconstructing their identities, sailing against all odds stacked against them. The paper views these issues through the feminist theoretical lens. 2024 IUP. All Rights Reserved.
IUP Journal of English Studies, Vol-19, No. 1, pp. 51-66.
Divya R., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Sharmila N., CHRIST (Deemed to be University), Karnataka, Bengaluru, India
Innovation and Progress: An Insight into the Indian Business Start- Ups and the Promotion of Scientific Temper for Socio-Economic Advancement
Academics; Business; development; Ecosystem; India; Innovation; laws; policies; Progress; Science; Scientific temper; Socio-economic; Start-Ups
The Constitution of India through its 42nd Amendment of 1976, incorporated scientific temper' as one of the Fundamental Duties to every Indian citizen under Article 51 A (h). The first Prime Minister of India, Pandit Jawahar Lal Nehru mentions this term in his book Discovery of India where he characterized scientific temper as a mind-set to change or alter one's intuition in the light of evidences and not to accept anything which appears to be irrational or without proof. Our country has consistently put forth attempts to concede to the scientific temper, time and again and emphasised its significance. In 2013, the Science, Technology, and Innovation policy, developed by the Government of India pushed on the advancement of scientific temper amongst every citizen. However, it needs to go quite far to appropriately show this temperament while fostering the resolutions for achieving socio-economic goals of the country. Presently, it has been noticed that business ventures are intensely reliant uponscientific temper and this will be ultimately essential for the entrepreneurs to succeed. Thus, small and micro undertakings backed by competitive and state of the art technology will be the foundation for greater enterprises in the country, resulting in economic boom. All future businesses will be driven by science and technology and hence, it is called for addition of new avenues and enterprises, with changing time and further with scientific temper as its major ingredient. Start-ups can be considered as one such innovation that has been leading businesses growing by leaps and bounds. In India, the last decade emerged with great start-ups like CRED, Meesho, Swiggy, Zomato, Delhivery, Oyo and many more, making itself one of the most important start-up hubs in Asia and perhaps even in the world. The scientific temper in start-ups can further do wonders to Indias socioeconomic growth in the long run. Hence, in this paper, the authors shall make an attempt to bring out the essence of scientific temper in bringing forth the technologically advanced start-ups in India and its capacity to form the basis of India's future in the global market, in terms of both technological advancements and entrepreneurship. The paper will also highlight the hindrances to its growth and suggest measures in contributing to the growth of start-up ecosystem in India. 2024, Department of Law, University of North Bengal. All rights reserved.
Indian Journal of Law and Justice, Vol-15, No. 1, pp. 377-399.
Department of Law, University of North Bengal
Rakshit S., School of Law, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Moitra S., Department of Law, University of North Bengal, West Bengal, Darjeeling, India
A computational approach for the generalised GenesioTesi systems using a novel fractional operator
02.30.Hq; 02.60.Cb; 98.80.Cq; caputo fractional derivative; fractional order; GenesioTesi system; lyapunov stability; numerical method
This article presents the novel fractional-order GenesioTesi system, along with discussions of its boundedness, stability of the equilibrium points, Lyapunov stability, uniqueness of the solution and bifurcation. The efficient predictorcorrector approach is employed to quantitatively analyse the GenesioTesi system in fractional order. The findings enable conceptualisation and visualisation of the presented novel fractional-order GenesioTesi systems. The modified systems are proposed for future study on chaos control and applying the same for secure communication. Bifurcation analysis is carried out to see the variation in the systems behaviour from stability to chaos. The results of the bifurcation analysis support the results obtained for the stability of the equilibrium points. The system behaves chaotically since all the equilibrium points are unstable. The findings demonstrate a torus attractor for some of the suggested systems and a chaotic attractor for some of the novel fractional-order GenesioTesi systems. The systems torus attractor changes into a steady state when the order is reduced from integer to fractional. Changing the parameter values for one of the modified systems also shifts the systems behaviour, with the point attractor replacing the torus attractor. The point attractor of one of the systems changes into a steady character when the systems order is reduced from integer to fractional. The behaviour for one modified system is the same for fractional and integer orders. This discovery paves the way for the future study of the modified GenesioTesi system. This article gives a new direction to utilise these proposed GenesioTesi systems and study them extensively. The chaotic behaviour of the modified system can be used for secure communication. The synchronisation and chaos control of the modified system is recommended. 2024, Indian Academy of Sciences.
Deepika S.; Ranganathan H.B.; Veeresha P.
Pramana - Journal of Physics, Vol-98, No. 1
Deepika S., Centre for Mathematical Needs, Department of Mathematics, Christ (Deemed to be University), Bengaluru, 560029, India; Ranganathan H.B., Centre for Mathematical Needs, Department of Mathematics, Christ (Deemed to be University), Bengaluru, 560029, India; Veeresha P., Centre for Mathematical Needs, Department of Mathematics, Christ (Deemed to be University), Bengaluru, 560029, India
Rationally designed CeO2 decorated Ti3C2 MXene interface for efficient water splitting and enhanced supercapacitor performance
CeO2; Energy; MXene; Supercapacitor; Water splitting
MXenes serve as competent electrodes for applications such as energy storage and conversion owing to their unique characteristics, which include substantial surface area, excellent conductivity, abundant surface-terminating groups, and high hydrophilicity. However, MXene nanosheets exhibit a pronounced tendency to restack via Van der Waals force, hindering the active sites and resulting in sluggish electronic and ionic kinetics. This phenomenon limits the capabilities, processability, and overall performance of MXene. In this study, CeO2 is utilized as an interlayer spacer for the Ti3C2 MXene substrate, providing a promising noble metal-free multifunctional electrode. The Ti3C2/CeO2 composite, synthesized via the hydrothermal method, efficiently mitigates restacking while exhibiting excellent conductivity, substantial surface area, and enhanced kinetics. The as-synthesized catalysts undergo diverse physiochemical characterizations and electrochemical measurements to understand their properties and potential multiapplications. The fabricated electrode material, Ti3C2/CeO2, shows excellent specific capacitance of 1908.5 Fg?1 at 1 Ag?1 in a three-electrode setup using 3 M KOH as electrolyte. It has a capacitive retention of 91% even after 4000 cycles. Besides, Ti3C2/CeO2 also functions as a proficient electrode material for overall water splitting, having a lower overpotential of 178 mV and 350 mV for hydrogen and oxygen evolution reactions, respectively, at a current density of 10 mAcm?2. It also displays a lower cell voltage of 1.78 V to obtain a current density of 10 mAcm?2. This study introduces the multi applications of a well-designed interface between Ti3C2 layers and CeO2 within the realm of electrochemical energy storage and conversion. 2024 Elsevier B.V.
Colloids and Surfaces A: Physicochemical and Engineering Aspects, Vol-684
https://doi.org/10.1016/j.colsurfa.2024.133170 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182886128&doi=10.1016%2fj.colsurfa.2024.133170&partnerID=40&md5=bce776041fa8d4da2357721dfc463006
Mathew S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Devi K R S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India
Drivers of Rural Non-farm Sector Employment in India, 19832019
India; Job analysis; rural and regional economics; urban; youth work
Using the national-level employment and unemployment surveys (NSS and PLFS) and the macro-level data for the period 20052019, this article explores the trends and recent growth patterns of rural non-farm sector employment in India. It also examines the micro-level factors determining individuals preference towards non-farm sector jobs and the macro-level factors responsible for the growth of non-farm sector employment in rural India. The main findings of the study suggest that although rural non-farm sector employment is rising in absolute terms, its growth rate has slackened in recent years. While the level of education and skill training, market wage rates and socio-cultural setups are among the key micro-level factors determining farmnon-farm employment choices of rural folks, at the macro-level, the growth of investment in capital goods, the number of factories, investment in infrastructure development and the growth of the manufacturing sector are crucial for the growth of non-farm sector jobs in India. Based on these findings, it is argued that the improvement of human capabilities through increased investment in education and skill, and the growth of non-farm sector employment through the development of rural infrastructure and industrialization measures, are necessary to sustain the structural transformation and to harness the demographic dividend in India. JEL Codes: J01, J21, J43, J64 2024 Research and Information System for Developing Countries & Institute of Policy Studies of Sri Lanka.
South Asia Economic Journal, Vol-25, No. 1, pp. 45-73.
Pattayat S.S., Department of Economics, Christ University (YPR), Karnataka, Bangalore, India; Parida J.K., School of Economics, University of Hyderabad, Telangana, India
Precise surface molecular engineering of 2D-Bi2S3 enables the ultrasensitive simultaneous detection of dopamine, epinephrine, serotonin and uric acid
2D materials; Biosensor; Dopamine; Electrochemical; Epinephrine; Serotonin; Surface engineering; Uric acid
Multiple biomolecule detection at a single read is an emerging and highly desirable technology in point-of-care diagnostics. Thus, functional nanoscale materials with high precision and stability at an affordable cost are required to fabricate adaptable multiplex biosensing devices with exceptional performance. Herein, an ultrasensitive molecularly engineered 2D-Bi2S3 biosensor is developed via a two-step synthetic approach. Simultaneous detection of dopamine (DA), epinephrine (EP), serotonin (ST), and uric acid (UA) is achieved at the nanomolar level. The surface molecular engineered 2D-Bi2S3 by 4-mercaptobenzoic acid (MBA) exhibits a well crystalline nature and consists of 36 stacked layers with creased-paper-like morphology after an MBA molecule has been precisely linked at the basal plane of Bi2S3. Bi2S3-MBA's surface/vibrational spectroscopic and scanning tunneling microscopic studies demonstrate the Bi2S3-MBA electronic nature and the linked molecule present on the Bi2S3 surface with a comparatively large random distribution of MBA molecules at the basal plane than the edge plane. The density functional theory (DFT) calculation verifies the proposed molecular interaction mechanism. The success of this unique surface molecular engineering strategy, which effectively modified the electronic and surface configuration of the 2D-Bi2S3, offers an exciting possibility for building different variants of the versatile biosensor for real-world diagnostic device applications. 2024
Suriyaprakash J.; Thangavelu I.; Huang Y.; Hu Z.; Wang H.; Zhan Y.; Wu L.; Shan L.
https://doi.org/10.1016/j.surfin.2024.104021 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183955053&doi=10.1016%2fj.surfin.2024.104021&partnerID=40&md5=7bfc79ca43fb3260ed817ddfef1d9e99
Suriyaprakash J., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Thangavelu I., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Huang Y., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Hu Z., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Wang H., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Zhan Y., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Wu L., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Shan L., School of Materials Science and Chemical Engineering, Harbin University of Science and Technology, Harbin, 150040, China
Classification of adaptive back propagation neural network along with fuzzy logic in chronic kidney disease
(ABPNN-ANFIS); Chronic kidney disease (CKD); DL algorithms; MATLAB; UCI CKD Dataset
A steady deterioration in kidney function over months or years is known as chronic kidney disease (CKD). Through a range of techniques, such as pharmacological intervention in moderate cases and hemodialysis and renal transport in severe cases, early identification of CKD is crucial and has a substantial influence on reducing the patient's health development. The outcomes show the patient's kidneys' present state. It is suggested to develop a system for detecting chronic renal disease using machine learning. Finding the best feature sets typically involves using metaheuristic algorithms since feature selection is an NP-hard issue with amorphous polynomials. Semi-crystalline tabu search (TS) is frequently used for both local and global searches. In this study, we employ a brand-new hybrid TS with stochastic diffusion search (SDX)-based feature selection. The adaptive backpropagation neural network (ABPNN-ANFIS) is then classified using fuzzy logic. Fuzzy logic may be used to combine the ABPNN findings. Consequently, these techniques can aid experts in determining the stage of chronic renal disease. The Adaptive Neuron Clearing Inference System (ABPNN-ANFIS) was utilised to develop adaptive inverse neural networks using the MATLAB programme. The outcomes demonstrate that the suggested ABPNN-ANFIS is 98 % accurate in terms of efficiency. 2024
KR V.; Maharajan M.S.; K B.; Sivakumar N.
e-Prime - Advances in Electrical Engineering, Electronics and Energy, Vol-7
https://doi.org/10.1016/j.prime.2024.100463 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186496923&doi=10.1016%2fj.prime.2024.100463&partnerID=40&md5=a0bb55f1bc8a8412e96b3d50ccd79b42
KR V., Computer Science, Christ Deemed to be University, Karnataka, Bangalore, 560029, India; Maharajan M.S., Department of ECE, SRM Institute of Science and Technology, Chennai, Kattankulathur, India; K B., Electronics and Communication Engineering, Alva's Institute of Engineering and Technology, Mijar, Moodbidri, Karnataka, 74225, India; Sivakumar N., Artificial Intelligence & Data Science, Panimalar Engineering College, Tamilnadu, Chennai, 600123, India