Regression analysis and features of negative activation energy for MHD nanofluid flow model: A comparative study
subject: Negative activation energy; Porous medium; Regression analysis; Successive linearization method
description: This article elucidates the impact of activation energy on magnetohydrodynamic (MHD) stagnation point nanofluid flow over a slippery surface in a porous regime with thermophoretic and Brownian diffusions. Negative activation energy is scarce in practice, but the impact of negative activation energy could not be neglected as it is noticed in chemical processes. The rate of some Arrhenius-compliant reactions is retarded by increasing the temperature and is therefore associated with negative activation energies, such as exothermic binding of urea or water. In some processes, the temperature dependence of the pressure-induced unfolding and the urea-induced unfolding of proteins at ambient pressure give negative activation energies. The present mathematical model is solved with successive linearization method (a spectral technique). A comparison of results is made for negative and positive values of activation energy. Apart from it, the quadratic multiple regression model is discussed briefly and explained with bar diagrams. It is observed that with rise in unsteadiness parameter from 0 to 1 (taking positive activation energy), skin friction and Sherwood number are increased by 9.36% and 19% respectively, and Nusselt number is decreased by 26%. However, for negative activation energy, 9.36% and 112% enhancement is observed in skin friction and Sherwood number, respectively. 2023 The Authors
creator: Kumar B.; Prachi; Singhal A.; Nandkeolyar R.; Kumar P.; Chamkha A.J.
source: Propulsion and Power Research, Vol-12, No. 2, pp. 273-283.
publisher: KeAi Communications Co.
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 2212540X
format: Online
language: English
type: Article
coverage: Kumar B., School of Mathematics, Thapar Institute of Engineering and Technology, Punjab, Patiala, 147004, India; Prachi, Department of Applied Sciences and Humanities, RIT, Roorkee, 247667, India; Singhal A., School of Sciences, Christ (Deemed to be University), Delhi NCR, 201003, India; Nandkeolyar R., Department of Mathematics, National Institute of Technology, Jamshedpur, 831014, India; Kumar P., Department of Applied Mechanics, Indian Institute of Technology, Delhi, 110016, India; Chamkha A.J., Faculty of Engineering, Kuwait College of Science and Technology, Doha District, Kuwait

The Taos and Trait Meta-mood on Transpersonal Gratitude: Tracing Their Influences
subject: And positive emotions; Selfless ego; Trait meta-mood; Transpersonal gratitude; Young adults
description: The mainstream empirical research has always viewed gratitude in its triadic form involving a typical human giver, gift, and receiver. But it is not the same in the case of transpersonal gratitude. Instead, it is directed towards abstract entities beyond self like God, their own state of being, or the cosmos. The previous literature had affirmed that a selfless attitude and better mood could determine overall gratitude. But this relation is not mainly known in the context of this newer form of gratitude. Indian young adults (N = 456) completed scales on transpersonal gratitude, trait meta-mood, and ego-grasping orientationa Taoist concept. The preliminary analysis revealed that the selfless nature was unrelated to transpersonal gratitude. Subsequently, the predictive effect of trait meta-mood on transpersonal gratitude is quantified. The findings explain the distinguishable features of the young adults' populace and positive transpersonal experiences. The need to identify groups, cultural differences, and the utility of interventions on transpersonal gratitude in the future gratitude research is emphasised. 2023, The Author(s) under exclusive licence to National Academy of Psychology (NAOP) India.
creator: Shainy M.R.; Tamarana R.
source: Psychological Studies, Vol-68, No. 2, pp. 247-255.
publisher: Springer
date: 2023-01-01
rights: All Open Access; Bronze Open Access; Green Open Access
relation: ISSN: 332968
format: Online
language: English
type: Article
coverage: Shainy M.R., Department of Psychology, CHRIST (Deemed to be) University, Bengaluru, 560076, India; Tamarana R., Department of Psychology, CHRIST (Deemed to be) University, Bengaluru, 560076, India

The impact of Covid-19 on the capital structure in emerging economies: evidence from India
subject: Bankruptcy risk; Capital structure; Covid-19; Debt; Emerging economies; Leverage
description: Purpose: Capital structure is an important corporate financing decision, particularly for companies in emerging economies. This paper attempts to understand whether the pandemic had any significant impact on the capital structure of companies in emerging economies. India being a prominent emerging economy is an ideal candidate for the analysis. Design/methodology/approach: The study utilizes three leverage ratios in an extended market index, BSE500, for the period 20152021. The ratios considered are short-term leverage ratio (STLR), long-term leverage ratio (LTLR) and total leverage ratio (TLR). A dummy variable differentiates the pre-epidemic (20152019) and pandemic (20202021) period. Control variables are used to represent firm characteristics such as growth, tangibility, profit, size and liquidity. Dynamic panel data regression is employed to address endogeneity. Findings: The findings point out that Covid-19 has had a significant, negative effect on LTLR, while the impact on STLR and TLR was insignificant. The findings indicate that companies based in a culturally risk-averse environment, such as India, would reduce the long-term debt to avoid bankruptcy in times of uncertainty. Research limitations/implications: The study covers the impact of the pandemic on Indian companies. Hence, generalization of the findings to global context might not be valid. Practical implications: To maintain economic growth in the post-crisis period, Indian policymakers should ensure accessibility to low-cost capital. The findings provide impetus to deepen the insignificant corporate bond market in India for future economic revival. Originality/value: Developing countries are struggling to revive the economies postpandemic. This is particularly true for Asian economies which are heavily reliant on banks for survival. This research finds evidence to utilize bond market as a source of raising capital for economic revival. 2022, Nisha Prakash, Aditya Maheshwari and Aparna Hawaldar.
creator: Prakash N.; Maheshwari A.; Hawaldar A.
source: Asian Journal of Accounting Research, Vol-8, No. 3, pp. 236-249.
publisher: Emerald Publishing
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 24599700
format: Online
language: English
type: Article
coverage: Prakash N., Symbiosis Institute of Business Management, Symbiosis International University, Bengaluru, India; Maheshwari A., Christ University, Bengaluru, India; Hawaldar A., Christ University, Bengaluru, India

Blockchain-based circular economy for achieving environmental sustainability in the Indian electronic MSMEs
subject: Barriers; Blockchain; Circular economy (CE); Environmental sustainability; FuzzyTOPSIS; MSMEs
description: Purpose: The circular economy is a production and consumption model that encourages people to share, lease, reuse, repair, refurbish and recycle existing materials and products for as long as possible. The blockchain-based circular economy is being used in many industries worldwide, but Indian electronic MSMEs face many problems in adopting a blockchain-based circular economy. The research aims to discover the barriers the electronic MSMEs face in adopting a blockchain-based circular economy and pull back from achieving environmental sustainability in their operations. Design/methodology/approach: Fifteen barriers are identified from the literature review and finalized with experts' opinions. These barriers are evaluated by using interpretive structural modeling (ISM), MICMAC analysis and fuzzy TOPSIS method. Findings: Lack of support from distribution channels, lack of traceability mechanism and customer attitudes toward purchasing remanufactured goods are identified as the most critical barriers. Practical implications: The study will benchmark the electronic MSMEs in achieving environmental sustainability in the blockchain-based circular economy. Originality/value: It is a study that not only establishes a hierarchical relationship among the barriers of blockchain adoption in Indian electronic MSMEs but also verifies the results with fuzzy TOPSIS method. 2022, Emerald Publishing Limited.
creator: Mukherjee S.; Nagariya R.; Baral M.M.; Patel B.S.; Chittipaka V.; Rao K.S.; Rao U.V.A.
source: Management of Environmental Quality: An International Journal, Vol-34, No. 4, pp. 997-1017.
publisher: Emerald Publishing
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 14777835
format: Online
language: English
type: Article
coverage: Mukherjee S., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Nagariya R., School of Business and Management, CHRIST University, Delhi NCR Campus, Ghaziabad, India; Baral M.M., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Patel B.S., Department of Operations, Thiagarajar School of Management, Madurai, India; Chittipaka V., Department of Management Studies, IGNOU, New Delhi, India; Rao K.S., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Rao U.V.A., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India

Spectral and temporal studies of Swift J1658.24242 using AstroSat observations with the JeTCAF model
subject: accretion, accretion discs; black hole physics; ISM: jets and outflows; shock waves; X-rays: binaries; X-rays: individual: Swift J1658.2-4242
description: We present the X-ray spectral and temporal analysis of the black hole X-ray transient Swift J1658.2-4242 observed by AstroSat. Three epochs of data have been analysed using the JeTCAF model to estimate the mass accretion rates and to understand the geometry of the flow. The best-fitting disc mass accretion rate (? d) varies between 0.90+-000102 and 1.09+-000304 M?Edd in these observations, while the halo mass accretion rate changes from 0.15+-000101 to 0.25+-000102 M?Edd. We estimate the size of the dynamic corona that varies substantially from 64.9+-3319 to 34.5+-1250 rg and a moderately high jet/outflow collimation factor stipulates isotropic outflow. The inferred high disc mass accretion rate and bigger corona size indicate that the source might be in the intermediate to soft spectral state of black hole X-ray binaries. The mass of the black hole estimated from different model combinations is ?14 M?. In addition, we compute the quasi-periodic oscillation (QPO) frequencies from the model-fitted parameters, which match the observed QPOs. We further calculate the binary parameters of the system from the decay profile of the light curve and the spectral parameters. The estimated orbital period of the system is 4.0 0.4 h by assuming the companion as a mid or late K-type star. Our analysis using the JeTCAF model sheds light on the physical origin of the spectrotemporal behaviour of the source, and the observed properties are mainly due to the change in both the mass accretion rates and absorbing column density. 2023 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.
creator: Mondal S.; Jithesh V.
source: Monthly Notices of the Royal Astronomical Society, Vol-522, No. 2, pp. 2065-2074.
publisher: Oxford University Press
date: 2023-01-01
rights: All Open Access; Green Open Access
relation: ISSN: 358711; CODEN: MNRAA
format: Online
language: English
type: Article
coverage: Mondal S., Indian Institute of Astrophysics, II Block Koramangala, Bengaluru, 560034, India; Jithesh V., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Main Road, Bengaluru, 560029, India

Exploring the Role of Multi-Catalytic Sites in an Amorphous Co-W-B Electrocatalyst for Hydrogen and Oxygen Evolution Reactions
subject: amorphous metal boride; bifunctional catalyst; hydrogen evolution reaction; multi-catalytic sites; oxygen evolution reaction
description: Amorphous materials are used in multitude of catalytic applications, including electrocatalytic water-splitting. Identification and investigation of active sites in amorphous catalysts are rarely reported, mainly owing to the complexity of the systems. Herein, we report an amorphous bifunctional Co-W-B electrocatalyst for hydrogen evolution reaction (HER) and oxygen evolution reaction (OER). The optimized Co-W-B catalyst showed promising overpotential values of 97 mV (HER) and 292 mV (OER), respectively, to achieve 10 mA cm-2 in 1 M KOH, with good stability. The promoting effect of W in Co-B was investigated experimentally, while computational tools were used to identify all the possible catalytic sites in an amorphous Co-W-B model and classify the most preferred sites for HER and OER. The presence of multi-catalytic sites with specific selectivity toward HER and OER was observed, which explained the bifunctional activity of Co-W-B. This study will foster better understanding of the origin of catalytic activity in similar amorphous systems. 2023 The Authors. Published by American Chemical Society.
creator: Chunduri A.; Bhide A.; Gupta S.; Mali K.H.; Bhagat B.R.; Dashora A.; Spreitzer M.; Fernandes R.; Patel R.; Patel N.
source: ACS Applied Energy Materials, Vol-6, No. 9, pp. 4630-4641.
publisher: American Chemical Society
date: 2023-01-01
rights: All Open Access; Hybrid Gold Open Access
relation: ISSN: 25740962
format: Online
language: English
type: Article
coverage: Chunduri A., Department of Physics, University of Mumbai, Vidyanagari, Santacruz (E), Mumbai, 400098, India; Bhide A., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Gupta S., Advanced Materials Department, Joef Stefan Institute, Ljubljana, 1000, Slovenia; Mali K.H., Physics Department, Faculty of Science, The M.S. University of Baroda, Vadodara, 390002, India; Bhagat B.R., Physics Department, Faculty of Science, The M.S. University of Baroda, Vadodara, 390002, India; Dashora A., Physics Department, Faculty of Science, The M.S. University of Baroda, Vadodara, 390002, India; Spreitzer M., Advanced Materials Department, Joef Stefan Institute, Ljubljana, 1000, Slovenia; Fernandes R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Patel R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Patel N., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India

Grey Wolf Optimization Guided Non-Local Means Denoising for Localizing and Extracting Bone Regions from X-Ray Images
subject: Convolutional neural network; Grey wolf optimization; Multi-Res U-Net; Non-local means denoising; Semantic segmentation
description: The key focus of the current study is implementation of an automated semantic segmentation model to localize and extract bone regions from digital X-ray images. Methods: The proposed segmentation framework uses a pre-processing stage which follows convolutional neural network (CNN) obtained segmentation stage to extract the bone region from X-ray images, mainly for diagnosing critical conditions such as osteoporosis. Since the presence of noise is critical in image analysis, the X-ray images are initially processed with a grey wolf optimization (GWO) guided non-local means (NLM) denoising. The segmentation stage uses a Multi-Res U-Net architecture with attention modules. Findings: The proposed methodology shows superior results while segmenting bone regions from real X-ray images. The experiments include an ablation study that substantiates the need for the proposed denoising approach. Several standard segmentation benchmarks such as precision, recall, Dice-score, specificity, Intersection over Union (IOU), and total accuracy have been used for a comprehensive study. The proposed architectural has good impact compared to the state-of-the-art bone segmentation models and is compared both quantitatively and qualitatively. Novelty: The denoising using GWO-NLM adaptively chose the denoising parameters based on the required conditions and can be reused in other medical image analysis domains with minimal finetuning. The design of the proposed CNN model also aims at better performance on the target datasets. 2023 Biomedical & Pharmacology Journal.
creator: Dodamani P.S.; Danti A.
source: Biomedical and Pharmacology Journal, Vol-16, No. 2, pp. 935-946.
publisher: Oriental Scientific Publishing Company
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 9746242
format: Online
language: English
type: Article
coverage: Dodamani P.S., CSE, Christ University, Bangalore, 560057, India; Danti A., CSE, Christ University, Bangalore, 560057, India

Ortho-Vanillin based multifunctional scaffold for selective detection of Al3+ and Zn2+ employing molecular logic with DFT study and cell imaging with live Grass pea
subject: Al3+ and Zn2+ sensing; Cell imaging; DFT study; Fluorometric method; Logic gate; Multifunctional
description: Ligand (E)-N-(2-hydroxy-3-methoxybenzylidene) acetohydrazide (HL) has been designed and synthesized from o-vanillin and acetohydrazide for selective sensing of Al3+ and Zn2+ ions. In the photoluminescence studies, the receptor HL itself shows very poor fluorescence but on incremental addition of Al3+ and Zn2+ ions in solution of the probe HL individually leads to a sharp increase in emission intensities at wavelengths 468 nm (?15 fold) and 504 nm (?8 fold) respectively. Due to excited state intramolecular proton transfer (ESIPT), HL exhibits weak emission in absence of any analytes but in presence of Al3+ and Zn2+, chelation-enhanced fluorescence (CHEF) with coordination of Al3+ and Zn2+ inhibits ESIPT, which results large increase of fluorescence enhancement. The ligand HL shows high selectivity and sensitivity to detect Al3+ and Zn2+ among various metal ions with LOD (Limit of Detection) 0.836 10?6 M and 1.01 10?6 M respectively. DFT calculation has been performed to study the binding phenomenon of ligand HL with metal ions. A molecular logic gate has been build-up with Al3+ and Zn2+ and EDTA as three chemical input. Simultaneously, cytotoxicity and cell biology for the probe and corresponding Al3+ sensing were observed. 2023 Elsevier B.V.
creator: Das G.C.; Kumar Das A.; Das D.; Raj Maity T.; Samanta A.; Ali Alasmary F.; Salem Almalki A.; Iqbal A.; Dolai M.
source: Journal of Photochemistry and Photobiology A: Chemistry, Vol-440
publisher: Elsevier B.V.
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 10106030; CODEN: JPPCE
format: Online
language: English
type: Article
coverage: Das G.C., Department of Chemistry, Prabhat Kumar College, Contai, W.B, Purba Medinipur, 721404, India; Kumar Das A., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Das D., Department of Chemistry, Prabhat Kumar College, Contai, W.B, Purba Medinipur, 721404, India; Raj Maity T., Department of Biotechnology, Haldia Institute of Technology, Haldia, West Bengal, Purba Medinipur721657, India; Samanta A., Department of Botany, Prabhat Kumar College, Contai, W.B, Purba Medinipur, 721404, India; Ali Alasmary F., Department of Chemistry, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia; Salem Almalki A., Department of Chemistry, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia; Iqbal A., Department of Advanced Materials & Technologies, Faculty of Materials Engineering, Silesian University of Technology, Gliwice, 44-100, Poland; Dolai M., Department of Chemistry, Prabhat Kumar College, Contai, W.B, Purba Medinipur, 721404, India

Clay-based cementitious nanofluid flow subjected to Newtonian heating
subject: clay nanoparticles; Constant proportional Caputo fractional derivative; Newtonian heating; slippage conditions; Zakian's algorithms
description: In recent years, a novel technique for producing robust cementitious materials, called nanocomposites, has emerged. These materials are comprised of clay minerals and polymers. As a result, a vertical flat plate has been used to evaluate a clay-based cementitious nanofluid in this research. The impacts of first-order chemical reactions, heat generation/heat absorption, and the Jeffrey fluid model are taken into account for the study of flow. Newtonian heating and the conditions for slippage velocity have also been considered. The mathematical problem for the flow analysis has been established in relations of partially coupled partial differential equations and the model has been generalized using constant proportional Caputo (CPC) fractional derivative. The problem is solved using the Laplace transform technique to provide precise analytical solutions. On the concentration, temperature, and velocity fields, the physics of a number of crucial flow parameters have been examined graphically. The acquired results have been condensed to a very well-known published work to verify the validity of the current work. It is important to note here that the rate of heat transfer in the fluid decreases by 10.17% by adding clay nanoparticles, while the rate of mass transfer decrease by 1.31% when the value of ? reaches 0.04. 2023 World Scientific Publishing Company.
creator: Anwar M.S.; Hussain M.; Hussain Z.; Puneeth V.; Irfan M.
source: International Journal of Modern Physics B, Vol-37, No. 14
publisher: World Scientific
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 2179792; CODEN: IJPBE
format: Online
language: English
type: Article
coverage: Anwar M.S., Department of Mathematics, University of Jhang, Jhang, 35200, Pakistan; Hussain M., Department of Natural Sciences and Humanities, University of Engineering and Technology, Lahore, 54890, Pakistan; Hussain Z., Department of Mathematics, University of Baltistan, Skardu, Pakistan; Puneeth V., Department of Computational Science, Christ (Deemed to Be University), Ghaziabad, 201003, India; Irfan M., Department of Mathematical Sciences, Federal Urdu University of Arts Sciences & Technology, Islamabad, 44000, Pakistan

Effects of nitrogen, sulphur, and temperature treatments on the spectral, structural, and electrochemical characteristics of graphene oxide for energy storage applications
subject: Electrochemical applications; N,S-doped graphene oxide; Reduced graphene oxide; Surface modifications of graphene oxide; Thermal reduction
description: The structural and surface modifications have been studied on the hydrothermally Nitrogen (N) and Sulphur (S) doped and thermally reduced at 350 C nitrogen-doped, nitrogen-sulfur-doped graphene oxides. Raman spectra confirmed the reduction of graphene oxides by shifts in position and intensity variations of the D and G bands. EDX and mapping images revealed the carbon-oxygen ratio as well as the doping of nitrogen and sulphur into two-dimensional graphene oxide. The electrochemical properties of undoped and doped graphene oxides were investigated using a three-electrode system using a 1 M KOH electrolyte. It shows how doping, and reduction improve current conduction in graphene oxides. The specific capacitance of N,S-rGO after being synthesized and reduced at 350C was 930 Fg?1 and 1059 Fg?1, respectively, according to cyclic voltammetry results. The N-rGO specific capacitance was found to be similar, with 850 Fg?1 and 891 Fg?1, respectively, for the as prepared and reduced at 350C. The charge-discharge analysis, cycle stability, and impedances for the applied frequency ranges of undoped and doped graphene oxides for energy storage applications have all been estimated and discussed. 2023
creator: Vignesh G.; Devendran P.; Nallamuthu N.; Sudhahar S.; Kumar P.S.; Kumar M.K.
source: Carbon Trends, Vol-11
publisher: Elsevier Ltd
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 26670569
format: Online
language: English
type: Article
coverage: Vignesh G., Energy Physics Laboratory, Department of Physics, Kalasalingam Academy of Research and Education (Deemed to be University), Krishnankoil, 626 126, India; Devendran P., Energy Physics Laboratory, Department of Physics, Kalasalingam Academy of Research and Education (Deemed to be University), Krishnankoil, 626 126, India; Nallamuthu N., Department of Physics, Dayanada Sagar Academy of Technology and Management, Karnataka, Bengaluru, 560 082, India; Sudhahar S., Department of Physics, Alagappa University, Karaikudi, 630 003, India; Kumar P.S., Centre of Excellence in Water Research (CEWAR), Sri Sivasubramaniya Nadar College of Engineering, Chennai, 603 110, India; Kumar M.K., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560 029, India

Is the effect of oil price shock asymmetric on the Indian stock market? Firm-level evidence from energy-intensive companies
subject: Asymmetric impact; Impulse response function; Oil price shock; Panel structural vector autoregressive (P-SVAR) model; Stock market
description: Purpose: This paper aims to examine the asymmetric impact of the oil price increase and decrease on stock returns at the firm level. Design/methodology/approach: To ascertain the impact oil price can exert on the stock price at the firm level, this study uses panel structural vector auto regression with various linear and nonlinear measures of oil price shock on a data set, containing 1,168 firms listed in Indian stock markets. This study also considers stock index returns, Fama-French factors and inflation as control variables. Findings: This paper finds evidence that at firm level, net oil price increase and decrease have an asymmetric impact on stock returns. Other oil price shock measures, namely, shock because of oil price increase and decrease, do not show any sign of asymmetric impact on stock returns. Originality/value: The comparison of firm-level return on its response towards oil price fluctuation can give valuable insights into a firms features. 2022, Emerald Publishing Limited.
creator: Aruna B.; Acharya R.H.
source: International Journal of Energy Sector Management, Vol-17, No. 4, pp. 693-716.
publisher: Emerald Publishing
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 17506220
format: Online
language: English
type: Article
coverage: Aruna B., Department of Economics, Christ University, Bangalore, India; Acharya R.H., School of Management, National Institute of Technology Karnataka, Mangalore, India

Slow Violence in Vikram Chandras Sacred Games: An Ecocritical Reading
subject: ecocriticism; slow violence; socio-environmentalism; waste studies
description: This article gives insight into the ways in which enforcement and institutional vigilante activities portrayed in Vikram Chandras Sacred Games foreshadow the urban thicket of garbage dump yards and slum dwellings. The text will be analyzed from an ecocritical perspective to establish aspects of slow violence and its explicit and implicit results. Chandras plotline, regarding several entangled human tragedies against the background of refuse, urges a study of the novel through the lens of waste studies. However, he fails to address the reasons for the characters opinion of Mumbai being uninhabitable and infamous for treating human life as expendable. The novelist also seems to normalize the issues of inequalities in waste management and justifies the anthropocentric utilitarian perception of resources. The depictions of Mumbai gang wars against a disturbingly overlooked state of dilapidated lives and misplaced ideologies mention waste as being both created and ignored. Such representation also compels a close reading of consumerism and criminal aspiration. 2023, University of Zadar. All rights reserved.
creator: Sabu M.; Mudaliar M.
source: Sic, Vol-13, No. 2
publisher: University of Zadar
date: 2023-01-01
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 18477755
format: Online
language: English
type: Article
coverage: Sabu M., Christ Deemed to be University, India; Mudaliar M., Christ Deemed to be University, India

TOWARDS A SUSTAINABLE FUTURE: Need for Posthuman Ethics in the Anthropocene Era
subject: Philosophical Post-humanism; Post- Anthropocentrism; Post-Dualism; Post-human Ethics; Post-humanism
description: Ethics, which constitutes principles that guide human conduct, deserves particular attention in this era of the Anthropocene, when human actions greatly influence ecology. Renaissance humans have hegemonised humanistic ethics of living and interacting with the world since the Enlightenment. While exalting human exceptionalism, humanism has relegated all other forms of existence to a subservient taxonomy, categorising them as raw material for human empowerment. The self-exalted autonomous subject, homo sapiens, faces the threat of extinction in the wake of unprecedented and violent ecological reactions. The exponential growth of the agency of intelligent machines also calls to question the autonomous human agency propagated by humanism. A paradigm shift is the moments need; this paper suggests posthuman ethics as an alternative. The new worldview, post-humanism, places the homo sapiens in relation to the rest of the universe. Philosophical post-humanism, proposed by Francesca Ferrando, foregrounds posthuman ethics that are post-humanistic, post-anthropocentric, and post-dualistic. They form a roadmap towards a sustainable future. 2023 Journal of Dharma: Dharmaram Journal of Religions and Philosophies.
creator: Wilson K.D.; Edwin Jeevaraj A.
source: Journal of Dharma, Vol-48, No. 2, pp. 211-230.
publisher: Dharma Research Association
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 2537222
format: Online
language: English
type: Article
coverage: Wilson K.D., Department of English and Cultural Studies, School of Arts and Humanities, Christ (Deemed to be University), Bangalore, India; Edwin Jeevaraj A., Department of English and Cultural Studies, School of Arts and Humanities, Christ (Deemed to be University), Bangalore, India

Design and Development of Artificial Intelligence Knowledge Processing System for Optimizing Security of Software System
subject: Bi-directional encoder representation for transformers; Knowledge processing; Software development; Software security; Software vulnerability
description: Software security vulnerabilities are significant for the software development industry. Exploration is conducted for software development industry landscape, software development eco-system landscape, and software system customer landscape. The focus is to explore the data sources that can provide the software development team with insights to act upon the security vulnerabilities proactively. Across these modules of software landscape, customer landscape, and industry landscape, data sources are leveraged using artificial intelligence approaches to identify the security insights. The focus is also on building a smart knowledge management system that integrates the information processed across modules into a central system. This central intelligence system can be further leveraged to manage software development activities proactively. In this exploration, machine learning and deep learning approaches are devised to model the data and learn from across the modules. Architecture for all the modules and their integration is also proposed. Work helps to envision a smart system for Artificial Intelligence-based knowledge management for managing software security vulnerabilities. 2023, Crown.
creator: Althar R.R.; Samanta D.; Purushotham S.; Sengar S.S.; Hewage C.
source: SN Computer Science, Vol-4, No. 4
publisher: Springer
date: 2023-01-01
rights: All Open Access; Hybrid Gold Open Access
relation: ISSN: 2662995X
format: Online
language: English
type: Article
coverage: Althar R.R., CHRIST (Deemed to be) University, Karnataka, Bangalore, India, First American India Private Limited, Karnataka, Bangalore, India; Samanta D., CHRIST (Deemed to be) University, Karnataka, Bangalore, India, Department of Computational Information Technology, Rochester Institute of Technology-RIT Global, Germia Campus, Prishtina, Kosovo, 10000; Purushotham S., Department of Information Science, BMS Institute of Technology and Management, Karnataka, Bangalore, India; Sengar S.S., Department of Computer Science, Cardiff Metropolitan University, Cardiff, CF5 2YB, United Kingdom; Hewage C., Department of Computer Science, Cardiff Metropolitan University, Cardiff, CF5 2YB, United Kingdom

Revocable and Secure Multi-Authority Attribute-Encryption Scheme
subject: Access policy; Elliptic curve cryptography; Lagrange interpolation; Multi-Authority CP-ABE; Revocation
description: Security is an important factor as nowadays many systems generates and process huge amount of data. This also leads many of us to rely on a third-party service provider for storing sensitive and confidential data. Providing outsourcing means the data owner will encrypt and store the data in a third-party storage system. In this paper, we are proving solutions for two main problems. The first issue is what if the attribute authority itself can access the data because the attributes and secret keys are known by attribute. This issue is called the key escrow problem. For solving it we are proposing a multi-authority system with Elliptic Curve Cryptography. The second issue that we addressed in this paper is the revocation problem, which means when someone leaves the system should be prohibited from accessing subsequent data this is called forward security and as a second case when someone joins the system should be prevented from accessing previous shared date this is called backward security. In this paper, we address both forward and backward security. For solving this problem we are using the concept of the Lagrange interpolation technique for generating and verifying secret keys. Based on this technique secret key will be dynamically altered and used for encryption and due to this can achieve greater security. 2023, Ismail Saritas. All rights reserved.
creator: Krishna A.V.N.; Ancy P.R.
source: International Journal of Intelligent Systems and Applications in Engineering, Vol-11, No. 6, pp. 52-58.
publisher: Ismail Saritas
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 21476799
format: Online
language: English
type: Article
coverage: Krishna A.V.N., CSE Dept, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Ancy P.R., CSE Dept, School of Engineering and Technology, CHRIST (Deemed to be University), India

Comprehensive study of the relationship between multiverse and big data
subject: Big data; Data analytics; Metadata; Metaverse; Multiverse
description: Studies linking two broader spectra of topics have fascinated scholars in many aspects. Here we tried associating two such far-reaching aspects which have finite connectivity between them. Multiverse has been the talk of the hour which explains the theory of multiple universes which exist in parallel. This is a topic in physics concerned with many relative matters. On the other side, Big data is the subject in computing and information science describing the volume, velocity, and variability of the data hitting computer-connected systems. Big data can only be handled with newer architectures, algorithms, and methodologies as its features are contradicting regular computer systems and networks. It is well known that multiple processors are required to handle big data existing in parallel performing a single job given by the data analyst. So as we know, multiverse consist of hypothetical concepts of several parallel universe having everything like information, energy, and time. However, we see this situation to draw an association connecting parallel universes of the multiverse with parallel processors of big data by incorporating the concepts of working of parallel universe in the processing of Big Data. We provide a comprehensive observation on both the topics and take positive lenience on bringing a newer terminology in data science. History of multiverse along with big data structures are brought in with related parameters. This aspect is novel in its nature and we complement the literature carried out by the researchers and scholars appropriate analysis. We also showcase a model of the school of thought mentioned above in drawing conclusions. 2023 The Authors
creator: Agarwal V.; Kumar K.P.; CyrusManoj K.P.; Prathap B.R.
source: Measurement: Sensors, Vol-27
publisher: Elsevier Ltd
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 26659174
format: Online
language: English
type: Article
coverage: Agarwal V., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Kumar K.P., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; CyrusManoj K.P., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Prathap B.R., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India

Synthesis and characterization of graphene oxide and reduced graphene oxide membranes for water purification applications
subject: Dye rejection; Filtration; Graphene oxide; Reduced graphene oxide
description: Graphene oxide and reduced graphene oxide-based laminar membranes have been receiving increased attention for its novel filtration applications. In the present work, graphene oxide (GO) solution is synthesized by modified Hummers method and coated on cellulose nitrate by vacuum filtration technique. Further, reduced graphene oxide (rGO) membranes are fabricated by the controlled reduction of GO membrane using vitamin C solution at 60 C. The formation of GO and rGO is confirmed from Raman, FTIR, and UVVis spectroscopy studies. Morphology and thickness of the membranes are investigated using surface and cross-sectional FESEM images. The filtration study showed that rGO membrane has higher water flux (52 L m?2h?1) than GO (40 L m?2h?1) membrane at differential pressure of 0.3MPa. Moreover, both membranes show congo red rejection of 96%. Prior studies showed that water flux decreased upon reduction of GO membrane which hindered the filtration properties of the membrane. Current work indicates that controlled reduction of GO leads to an enhancement in water flux, maintaining the dye rejection ratio. Graphical Abstract: [Figure not available: see fulltext.] 2023, Qatar University and Springer Nature Switzerland AG.
creator: Jose J.K.; Mishra B.; Cherian C.T.; Tripathi B.P.; Balachandran M.
source: Emergent Materials, Vol-6, No. 3, pp. 911-916.
publisher: Institute for Ionics
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 25225731
format: Online
language: English
type: Article
coverage: Jose J.K., Department of Physics and Electronics, Christ (Deemed to Be University), Karnataka, Bangalore, 560029, India; Mishra B., Department of Materials Science & Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India; Cherian C.T., Department of Physics and Electronics, Christ (Deemed to Be University), Karnataka, Bangalore, 560029, India; Tripathi B.P., Department of Materials Science & Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India; Balachandran M., Department of Physics and Electronics, Christ (Deemed to Be University), Karnataka, Bangalore, 560029, India

Enhancing the performance of renewable biogas powered engine employing oxyhydrogen: Optimization with desirability and D-optimal design
subject: Biogas; D-optimal; Desirability; Optimization; Oxyhydrogen; Renewable
description: The performance and exhaust characteristics of a dual-fuel compression ignition engine were explored, with biogas as the primary fuel, diesel as the pilot-injected fuel, and oxyhydrogen as the fortifying agent. The trials were carried out with the use of an RSM-based D-optimal design. ANOVA was used to create the relationship functions between input and output. Except for nitrogen oxide emissions, oxyhydrogen fortification increased biogas-diesel engine combustion and decreased carbon-based pollutants. For each result, RSM-ANOVA was utilized to generate mathematical formulations (models). The output of the models was predicted and compared to the observed findings. The prediction models showed robust prediction efficiency (R2 greater than 99.21%). The optimal engine operating parameters were discovered by desirability approach-based optimization to be 24 crank angles before the top dead center, 10.88 kg engine loading, and 1.1 lpm oxyhydrogen flow rate. All outcomes were within 3.75% of the model's predicted output when the optimized parameters were tested experimentally. The current research has the potential to be widely used in compression ignition engine-based transportation systems. 2023 Elsevier Ltd
creator: Sharma P.; Balasubramanian D.; Thanh Khai C.; Papla Venugopal I.; Alruqi M.; Josephin JS F.; Sonthalia A.; Geo Varuvel E.; Khalife E.; Ravikumar R.; Wae-Hayee M.
source: Fuel, Vol-341
publisher: Elsevier Ltd
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 162361; CODEN: FUELA
format: Online
language: English
type: Article
coverage: Sharma P., Mechanical Engineering Department, Delhi Skill and Entrepreneurship University, Delhi, 110089, India; Balasubramanian D., Department of Mechanical Engineering, Mepco Schlenk Engineering College, Tamilnadu, India; Thanh Khai C., Faculty of Technology, Dong Nai Technology University, Dong Nai, Bien Hoa, Viet Nam; Papla Venugopal I., Department of Mechanical Engineering, Mepco Schlenk Engineering College, Tamilnadu, India; Alruqi M., Department of Mechanical Engineering, College of Engineering, Shaqra University, Al Riyadh, 11911, Saudi Arabia; Josephin JS F., Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey; Sonthalia A., Department of Automobile Engineering, SRM Institute of Science and Technology, NCR Campus, Modi Nagar, 201204, India; Geo Varuvel E., Department of Mechanical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey; Khalife E., Department of Civil Engineering, Cihan University-Erbil, Kurdistan Region, Iraq; Ravikumar R., Department of Mechanical and Automobile Engineering, CHRIST University, Bengalore, India; Wae-Hayee M., Department of Mechanical and Mechatronics Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla, Hatyai, 90110, Thailand

Human behavior analysis on political retweets using machine learning algorithms
subject: Computing methodologies; Machine learning algorithms; Opinion mining; Political retweet; Text classification; Twitter
description: The exponential rise in the use of social media has resulted in a massive increase in the volume of unstructured text created. This content is presented through messages, conversations, postings, and blogs. Microblogging has become a popular way for people to share what they are thinking. Many people express their thoughts on various issues relating to their hobbies. As a result, microblogging websites have become a valuable resource for opinion mining and sentiment research. Twitter is a well-known microblogging network, with over 500 million new tweets posted daily. The goal of this study was to mine tweets for political sentiments. The extraction of tweets relating to India's well-known political leaders of different states & parties in India and applying the polarity detection analysis of human behavior on the retweeted messages As a result, the sentiment classification algorithm is designed to determine whether tweets are more likely to predict the popularity of certain politicians among the general public. The subjectivity and polarity present in the tweets of political leaders are compared. The engagements of these leaders are then taken into account to determine their popularity. All these comparisons are then portrayed using data visualizations. 2023 The Authors
creator: Patel H.; Kansara A.; Prathap B.R.; Pradeep Kumar K.
source: Measurement: Sensors, Vol-27
publisher: Elsevier Ltd
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 26659174
format: Online
language: English
type: Article
coverage: Patel H., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Kansara A., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Prathap B.R., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Pradeep Kumar K., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India

Analysis of Nifty 50 index stock market trends using hybrid machine learning model in quantum finance
subject: National stock exchange fifty; Principle component analysis; Stock market; Technical indicators; Time series forecast
description: Predicting equities market trends is one of the most challenging tasks for market participants. This study aims to apply machine learning algorithms to aid in accurate Nifty 50 index trend predictions. The paper compares and contrasts four forecasting methods: artificial neural networks (ANN), support vector machines (SVM), naive bayes (NB), and random forest (RF). In this study, the eight technical indicators are used, and then the deterministic trend layer is used to translate the indications into trend signals. The principal component analysis (PCA) method is then applied to this deterministic trend signal. This study's main influence is using the PCA technique to find the essential components from multiple technical indicators affecting stock prices to reduce data dimensionality and improve model performance. As a result, a PCA-machine learning (ML) hybrid forecasting model was proposed. The experimental findings suggest that the technical factors are signified as trend signals and that the PCA approach combined with ML models outperforms the comparative models in prediction performance. Utilizing the first three principal components (percentage of explained variance=80%), experiments on the Nifty 50 index show that support vector classifier (SVC) with radial basis function (RBF) kernel achieves good accuracy of (0.9968) and F1-score (0.9969), and the RF model achieves an accuracy of (0.9969) and F1-Score (0.9968). In area under the curve (AUC) performance, SVC (RBF and Linear kernels) and RF have AUC scores of 1. 2023 Institute of Advanced Engineering and Science. All rights reserved.
creator: Manjunath C.; Marimuthu B.; Ghosh B.
source: International Journal of Electrical and Computer Engineering, Vol-13, No. 3, pp. 3549-3560.
publisher: Institute of Advanced Engineering and Science
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 20888708
format: Online
language: English
type: Article
coverage: Manjunath C., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, India; Marimuthu B., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, India; Ghosh B., Symbiosis Institute of Business Management, Symbiosis International (Deemed University), Bengaluru, India