COMPUTATION OF b-CHROMATIC TOPOLOGICAL INDICES OF SOME GRAPHS AND ITS DERIVED GRAPHS
b-Chromatic irregularity index; b-Chromatic total irregularity index; b-Chromatic Zagreb indices; b-coloring
The two fastest-growing subfields of graph theory are graph coloring and topological indices. Graph coloring is assigning the colors/values to the edges/vertices or both. A proper coloring of the graph G is assigning colors/values to the vertices/edges or both so that no two adjacent vertices/edges share the same color/value. Recently, studies involving Chromatic Topological indices that dealt with different graph coloring were studied. In such studies, the vertex degrees get replaced with the colors, and the computation is carried out based on the topological index of our choice. We focus on b-Chromatic Zagreb indices and b-Chromatic irregularity indices in this work. This paper discusses the b-Chromatic Zagreb indices and b-Chromatic irregularity indices of the gear graph, star graph, and its derived graphs such as the line and middle graph. 2023, RAMANUJAN SOCIETY OF MATHEMATICS AND MATHEMATICAL SCIENCES. All rights reserved.
South East Asian Journal of Mathematics and Mathematical Sciences, Vol-19, No. 2, pp. 241-260.
RAMANUJAN SOCIETY OF MATHEMATICS AND MATHEMATICAL SCIENCES
https://doi.org/10.56827/SEAJMMS.2023.1902.18 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194813772&doi=10.56827%2fSEAJMMS.2023.1902.18&partnerID=40&md5=83c8723f75ed54e9b86f6bc6c77d1b71
Glory C., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Nanjappa M., School of Engineering and Technology, CHRIST(Deemed to be University), Karnataka, Bangalore, 560074, India
Study of Influence of Combustion on DarcyBard Convection with Inherent Local Thermal Non-equilibrium Between Phases
Chebyshev spectral method; Chemical reaction; Combustion; Energy method; FrankKamenetskii number
This work deals with a DarcyBard convection problem in the presence of combustion and with local thermal non-equilibrium between the fluid and the solid phases. The effects of combustion and local thermal non-equilibrium on the onset of convection is studied in the linear and nonlinear regimes. Unlike all reported local thermal non-equilibrium problems reported so far, the present problem has a unique situation of having thermal non-equilibrium not only in the perturbed state but also in the basic state. Further, we observe that local thermal non-equilibrium does not, under any circumstance, lead to local thermal equilibrium except in an approximate sense when the combustion is quite weak. The effect of combustion is to advance the onset of convection compared to that in its absence. The effect of local thermal non-equilibrium is to reinforce the effect of combustion. In the presence of both these effects, sub-critical instability exists. The results are obtained numerically and have implication in practical porous medium convection problems. 2022, The Author(s), under exclusive licence to Springer Nature B.V.
Transport in Porous Media, Vol-146, No. 3, pp. 741-769.
Springer Science and Business Media B.V.
Nandal R., Department of Mathematics, Centre for Mathematical Needs, Christ (Deemed to be University), Bengaluru, 560029, India; Siddheshwar P.G., Department of Mathematics, Centre for Mathematical Needs, Christ (Deemed to be University), Bengaluru, 560029, India; Neela D., Department of Mathematics, NIT Warangal, Telangana, Hanamkonda, 506004, India
Barriers to corporate social responsibility implementation in the medium size manufacturing sector: an interpretive structure modelling approach
Barriers; Corporate social responsibility; CSR Barriers; Interpretive structural modelling; Manufacturing enterprises; Manufacturing industries; Medium-sized enterprises
Purpose: Corporate social responsibility (CSR) practices are gaining momentum globally but their implementation becomes problematic due to the presence of barriers. So, this study aims to identify the barriers to CSR implementation among manufacturing enterprises, develop their classification and establish relationships among the barriers. Design/methodology/approach: An exhaustive list of barriers was identified from the literature, and following surveys and expert opinions, 19 critical barriers were extracted. Interpretive structure modelling was used to understand the hierarchal and contextual relationships among barriers of CSR implementation. Findings: The results show that are no autonomous variables present in the study. The proposed conceptual framework presents the hierarchy and interlinkage of barriers to CSR implementation in manufacturing enterprises. The results also indicate that rigidity in culture and corruption in the system and within the governance system of the country are the two most influential barriers that impede CSR implementation in manufacturing enterprises. Originality/value: The interactions among CSR barriers provide policymakers, industrial practitioners and managers with a framework to recognise and evaluate mutual relationships and interlinking among barriers. CSR training and undertaking CSR in collaboration can help medium enterprises overcome these barriers and prepare strategies to mitigate their impact. 2021, Emerald Publishing Limited.
Journal of Entrepreneurship in Emerging Economies, Vol-15, No. 2, pp. 447-479.
https://doi.org/10.1108/JEEE-12-2020-0451 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121532778&doi=10.1108%2fJEEE-12-2020-0451&partnerID=40&md5=63a0adf18a89517e94fe48a2cf69b041
Dawar G., Department of Humanities, Delhi Technological University, Delhi, India, Christ University, Delhi NCR Campus, Uttar Pradesh, Ghaziabad, India; Singh S., Department of Humanities, Delhi Technological University, Delhi, India
A Novel Deep Learning Approach for Identifying Interstitial Lung Diseases from HRCT Images
Binary classification; Deep learning; HRCT; ILD; Multi-label classification
Interstitial lung diseases (ILDs) are defined as a group of lung diseases that affect the interstitium and cause death among humans worldwide. It is more serious in underdeveloped countries as it is hard to diagnose due to the absence of specialists. Detecting and classifying ILD is a challenging task and many research activities are still ongoing. High-resolution computed tomography (HRCT) images have essentially been utilized in the diagnosis of this disease. Examining HRCT images is a difficult task, even for an experienced doctor. Information Technology, especially Artificial Intelligence, has started contributing to the accurate diagnosis of ILD from HRCT images. Similar patterns of different categories of ILD confuse doctors in making quick decisions. Recent studies have shown that corona patients with ILD also go on to sudden death. Therefore, the diagnosis of ILD is more critical today. Different deep learning approaches have positively impacted various image classification problems recently. The main objective of this proposed research work was to develop a deep learning model to classify the ILD categories from HRCT images. This proposed work aims to perform binary and multi-label classification of ILD using HRCT images on a customized VGG architecture. The proposed model achieved a high test accuracy of 95.18% on untrained data. 2022, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
https://doi.org/10.1007/s42979-022-01579-y https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145388976&doi=10.1007%2fs42979-022-01579-y&partnerID=40&md5=f86e32cc9e314ad800bc4ebf2c7f778b
Raju N., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Augustine D.P., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Anita H.B., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India
Anomalous indirect carrier relaxation in direct band gap atomically thin gallium telluride
We report ultrafast studies on atomically thin Gallium telluride, a 2D metal monochalcogenide that has appeared to display superior photodetection properties in visible frequencies. Pump photon energy-dependent spectroscopic studies reveal that photoinduced carriers in this direct band-gap material undergo indirect relaxation within ?30 ps of photoexcitation, which is at least an order slower than that of most 2D materials. Despite the direct band-gap nature, slow and indirect carrier relaxation places this layered material as a prime candidate in the multitude of atomically thin semiconductor-based photodetectors and highlights the potential for prospective optoelectronic applications. 2023 American Physical Society.
Karmakar M.; Kumbhakar P.; Singha T.; Tiwary C.S.; Chanda D.; Datta P.K.
https://doi.org/10.1103/PhysRevB.107.075429 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149620798&doi=10.1103%2fPhysRevB.107.075429&partnerID=40&md5=32bb3522275d4529d9952310e5782c6a
Karmakar M., Department of Physics, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India, NanoScience Technology Center, University of Central Florida, Orlando, 32826, FL, United States, CREOL, College of Optics and Photonics, University of Central Florida, Orlando, 32826, FL, United States; Kumbhakar P., Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India, NanoScience Technology Center, University of Central Florida, Orlando, 32826, FL, United States, Department of Physics, University of Central Florida, Orlando, 32826, FL, United States; Singha T., Department of Physics, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India, NanoScience Technology Center, University of Central Florida, Orlando, 32826, FL, United States; Tiwary C.S., Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India, NanoScience Technology Center, University of Central Florida, Orlando, 32826, FL, United States; Chanda D., NanoScience Technology Center, University of Central Florida, Orlando, 32826, FL, United States, Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Datta P.K., NanoScience Technology Center, University of Central Florida, Orlando, 32826, FL, United States
AUTOMATION OF TEST CASE PRIORITIZATION: A SYSTEMATIC LITERATURE REVIEW AND CURRENT TRENDS
Regression Testing; Software Engineering; Software Test Automation; Test Case Prioritization; Software Testing
An Important stage in software testing is designing a test suite [18]. The test case repository consists of a large number of test cases. However, only a portion of these test cases would be relevant and can find bugs. Test case prioritization(TCP) is one such technique that can substantially increase the cost-effectiveness of the testing activity. Using test case prioritization, more relevant test cases can be captured and tested in the earlier stages of the testing phase. The objective of the study is to understand different techniques used and a systemic study on the effectiveness of these approaches. The Literature consists of a few relevant articles introducing novel techniques for test case prioritization between 2008 and 2022. Studies show that parameters that are considered for test case prioritization are important. Hence, the current article also focuses on the parameters considered in the literature. 40% of the articles used in the literature review use different test case information as parameters. A systemic review and analysis of data sets involved in the literature are evaluated in the study. The review also focuses on the different approaches used for comparing the newly introduced approach and reveals a novel approach for prioritization. 2023 Little Lion Scientific. All rights reserved.
Journal of Theoretical and Applied Information Technology, Vol-101, No. 3, pp. 1381-1387.
George J.J.C., Department of Computer Science, CHRIST (Deemed to be University, India; Augustine D.P., Department of Computer Science, CHRIST (Deemed to be University, India
Engineering a low-cost diatomite with Zn-Mg-Al Layered triple hydroxide (LTH) adsorbents for the effectual removal of Congo red: Studies on batch adsorption, mechanism, high selectivity, and desorption
Adsorption; Congo red; Diatomite; Modification; Removal; Zn-Mg-Al LTH
In this work, naturally occurring, low-cost diatomite (De) or diatomaceous earth (DE) adsorbent was treated with various molar concentrations (0.05, 0.1, and 0.2 M) of Zn-Mg-Al layered triple hydroxide (LTH) using a co-precipitation approach. The DE-modified samples were named 0.05 LDE, 0.1 LDE, and 0.2 LDE and employed to remove Congo Red (CR) dye from an aqueous solution. The adsorbents were examined using XRD, BET-N2 adsorption-desorption method, ATR-IR, FESEM-EDX, and XPS, and also analyzed for zeta potentials of adsorbents at pH values between 5 and 11 to observe their surface charges. The removal efficiencies of CR were 96.5%, 99.7%, and 94.5% for 20 mg of 0.05 LDE, 0.1 LDE, and 0.2 LDE, respectively, at pH 7. A bare DE, however, showed a removal efficiency of only 7.4%. After CR adsorption, the maximum adsorption capacities (qmax) of the adsorbents were examined using the Langmuir isotherm, and the results showed that 0.1 LDE-CR (44.0 mgg?1) had a higher qmax than 0.05 LDE-CR (35.6 mgg?1), 0.2 LDE-CR (27.9 mgg?1), and DE-CR (0.9 mgg?1). The optimal adsorbent of 0.1 LDE was utilized for the selectivity and salt effects based on the investigation's efficiency in removing contaminants. 0.1 LDE has been studied for reusability of up to five cycles and can remove CR up to three cycles with 77.7% and 79.9% efficiency using NaCl and NaOH, respectively. The adsorbents may therefore be particularly effective at removing CR from water and beneficial in industrial settings where dye is often used. 2023 Elsevier B.V.
Vishal K.; Aruchamy K.; Sriram G.; Ching Y.C.; Oh T.H.; Hegde G.; Ajeya K.V.; Joshi S.; Sowriraajan A.V.; Jung H.-Y.; Kurkuri M.
Colloids and Surfaces A: Physicochemical and Engineering Aspects, Vol-661
https://doi.org/10.1016/j.colsurfa.2023.130922 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146288743&doi=10.1016%2fj.colsurfa.2023.130922&partnerID=40&md5=0caef279ba88ff63c542b4d88eed3960
Vishal K., Department of Mechanical Engineering, The National Institute of Engineering, Karnataka, Mysuru, 570008, India, Centre for Research in Functional Materials (CRFM), JAIN (Deemed-to-be-University), Jain Global Campus, Karnataka, Bengaluru, 562 112, India; Aruchamy K., School of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, South Korea; Sriram G., School of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, South Korea; Ching Y.C., Department of Chemical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia; Oh T.H., School of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, South Korea; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed-to-be-University), Hosur Rd, Bhavani Nagar, S.G. Palya, Bangalore 29, Karnataka, India; Ajeya K.V., Department of Environment and Energy Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, 61186, South Korea; Joshi S., Department of Mechanical Engineering, The National Institute of Engineering, Karnataka, Mysuru, 570008, India; Sowriraajan A.V., Fire and Combustion Research Centre, JAIN (Deemed-to-be-University), Jain Global Campus, Karnataka, Bengaluru, 562112, India; Jung H.-Y., Department of Environment and Energy Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, 61186, South Korea; Kurkuri M., Centre for Research in Functional Materials (CRFM), JAIN (Deemed-to-be-University), Jain Global Campus, Karnataka, Bengaluru, 562 112, India
A Study on Experimental Analysis of Best Fit Machine Learning Approach for Smart Agriculture
Agriculture; AI techniques; Best fit; CNN; Deep learning; KNN; Machine learning; Random forest; SVM
By 2050, the population is projected to exceed nine billion, necessitating a 70% increase in agricultural output to meet the need. Land, water, and other resources are running out due to the growing world population, making it impossible to maintain the demandsupply cycle. The yield of cultivation is also declining as a result of people's ignorance of the growing crop illnesses. Given that food is the most basic human requirement, future research should focus on revitalizing the agricultural sector. Farming may be made more productive for farmers by applying the right artificial intelligence technologies and datasets. Agronomics can benefit greatly from artificial intelligence. So that we can farm more effectively and be as productive as possible, we need to adopt a better strategy. The objective of this paper is to experimentally analyze the machine learning algorithms and methods already in use and forecast the most effective approach to use in each agricultural sector. In this article, we will present the challenges farmers face when using traditional farming methods and how artificial intelligence is revolutionizing agriculture by replacing the traditional methods. 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
Lovesum J., Christ University, Bangalore, India; Prince B., Presidency University, Bangalore, India
FACVO-DNFN: Deep learning-based feature fusion and Distributed Denial of Service attack detection in cloud computing
Anti Corona Virus Optimization; Deep neuro-fuzzy network; Deep Quantum Neural Network; Distributed denial of service; Fractional Calculus
Cloud computing offers a broad range of resource pools for conserving a huge quantity of information. Due to the intrusion of attackers, the information that exists in the cloud is threatened. Distributed Denial of Service (DDoS) attack is the main reason for attacks in the cloud. In this study, a Fractional Anti Corona Virus Optimization-based Deep Neuro-Fuzzy Network (FACVO-based DNFN) is devised for detecting DDoS in the cloud. The production of log files, feature fusion, data augmentation, and DDoS attack detection is the processing stages involved in this phase of the DDoS attack detection process. The feature fusion is carried out by RV coefficient and Deep Quantum Neural Network (Deep QNN), and the data augmentation is performed. Then, the Anti Corona Virus Optimization (ACVO) method and Fractional Calculus (FC) are both incorporated to create the FACVO algorithm. The DNFN is trained by the created FACVO algorithm, which identifies the DDoS attack. The proposed approach achieved testing accuracy, TPR, TNR, and precision values of 0.9304, 0.9088, 0.9293, and 0.8745 for using the NSL-KDD dataset without attack, and 0.9200, 0.8991, 0.9015, and 0.8648 for using the BoT-IoT dataset without attack. 2022 Elsevier B.V.
Emil Selvan G.S.R.; Ganeshan R.; Jingle I.D.J.; Ananth J.P.
https://doi.org/10.1016/j.knosys.2022.110132 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144819502&doi=10.1016%2fj.knosys.2022.110132&partnerID=40&md5=4de4c662744c693925b8a7eeca1031af
Emil Selvan G.S.R., Assistant Professor, Department of Computer Science and Engineering, Thiagarajar College of Engineering, Madurai, 625015, India; Ganeshan R., Assistant Professor Senior Grade - II, School of Computing Science And Engineering, VIT Bhopal University, Bhopal-Indore Highway, Kothrikalan, Madhya Pradesh, Sehore, 466114, India; Jingle I.D.J., Associate Professor, Department of CSE, School of Engineering and Technology, Christ University, Karnataka, Bangalore, India; Ananth J.P., Professor, Department of CSE, Sri Krishna College of Engineering and Technology, Tamil Nadu, Coimbatore, India
Thermal diffusivity study of one-pot synthesised polypyrrole silver nanocomposite by thermal lens method
EDAX spectrum; Polypyrrole; Thermal diffusivity
We are reporting the results of our exploration of the thermal lens method to determine the thermal diffusivity of Ppy and Ppy/Ag nanocomposites synthesised by simple, cost effective in situ chemical oxidative polymerisation. EDAX spectrum confirms the presence of silver in the samples. Raman analysis shows that the increase in the concentration of silver in composite results in an increase in the conjugation length of the samples. We have adopted the dual-beam pump-probe technique to determine the thermal diffusivity of polypyrrole and polypyrrole silver nanocomposite with varying silver concentrations. We report suppression of thermal diffusivity of polypyrrole with the addition of a small concentration of silver and an enhanced thermal diffusivity with an increase in the concentration of silver with ethanol as the base fluid. Increased thermal diffusivity of the samples makes them suitable for use as coolants. 2022 Elsevier Ltd
Punnakkal V.S.; Francis F.; Pius M.; Santhi A.; Anila E.I.
https://doi.org/10.1016/j.mtcomm.2022.105151 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144490751&doi=10.1016%2fj.mtcomm.2022.105151&partnerID=40&md5=68c5b73a6fcfdb0610b353be28c09a39
Punnakkal V.S., Optoelectronic and Nanomaterials Research Laboratory, Department of Physics, Union Christian College, Kerala, Aluva, 683102, India, Sree Sankara College, Kerala, Kalady, 683574, India; Francis F., St. Teresa's College (Autonomous), Kerala, Ernakulam, 682011, India; Pius M., St. Teresa's College (Autonomous), Kerala, Ernakulam, 682011, India; Santhi A., St. Teresa's College (Autonomous), Kerala, Ernakulam, 682011, India; Anila E.I., Optoelectronic and Nanomaterials Research Laboratory, Department of Physics, Union Christian College, Kerala, Aluva, 683102, India, Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India
Young adults default intention: influence of behavioral factors in determining housing and real estate loan repayment in India
Emotion; Financial literacy; Home loan default intention; Housing and real estate; Indebtedness; Materialism; Risk perception; Young adults
Purpose: The primary purpose of this paper is to determine the role of behavioral characteristics of young adults on housing and real estate loan default intentions. The behavioral factors considered in this study are financial literacy, materialism, emotions, indebtedness and risk perception. Design/methodology/approach: The sample frame comprises of young clients who have taken house loans and work in Indias metropolitan cities. These cities provide a higher quality of life, more employment possibilities and cheaper living costs. A systematic questionnaire was used, which was divided into six components. A total of 352 valid responses were collected and analyzed through a structural equation model. Findings: The findings suggest that financial literacy, materialism and risk perception have a considerable impact on loan default intention among young adults. The results also ascertained that emotion and indebtedness do not have a considerable impact on loan default intention among young adults. Research limitations/implications: The scope of this study is limited to Indias metropolitan cities. Future studies can examine comparative examinations of young adults working in the public and private sectors and those working in different cities across India. Practical implications: This paper contributes to a better understanding of behavioral variables which may lead to the creation of preventive measures for young defaulters. The findings of this study will help financial institutions to improve their credit-offering models. Originality/value: To the best of the authors knowledge, this study is the first to determine the role of behavioral attributes of young adults on housing and real estate loan default intentions in India. This work will be executable to all the stakeholders of the housing and real estate industry altogether. 2022, Emerald Publishing Limited.
Thomas S.S.; George J.P.; Godwin B.J.; Siby A.
International Journal of Housing Markets and Analysis, Vol-16, No. 2, pp. 426-444.
https://doi.org/10.1108/IJHMA-01-2022-0012 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129144590&doi=10.1108%2fIJHMA-01-2022-0012&partnerID=40&md5=3692b4ed63f87fb6c180544e33815fe8
Thomas S.S., School of Business and Management, CHRIST (Deemed to be University), Lavasa, India; George J.P., School of Business and Management, CHRIST (Deemed to be University), Lavasa, India; Godwin B.J., School of Business and Management, CHRIST (Deemed to be University), Lavasa, India; Siby A., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Lavasa, India
Fractional approach for mathematical model of phytoplankton-toxic phytoplankton-zooplankton system with Mittag-Leffler kernel
Atangana-Baleanu derivative; Laplace transform; q -HATM; stability analysis; Toxic-phytoplankton; zooplankton
The solution for phytoplankton-toxic phytoplankton-zooplankton system with q-homotopy analysis transform method (q-HATM) is discussed. The projected system exemplifies three components (namely, zooplankton, toxic-phytoplankton as well as phytoplankton) and the corresponding nonlinear ordinary differential equations exemplify the zooplankton feeds on phytoplankton. The projected method is an amalgamation of q-homotopy analysis algorithm and Laplace transform and the derivative associated with the Atangana-Baleanu (AB) operator. The equilibrium points and stability have been discussed with the assistance of the Routh-Hurwitz rule in this work within the frame of generalized calculus. The fixed-point theorem is employed to present the existence and uniqueness of the attained result for the considered model, and we consider five different initial conditions for the projected system. Further, the physical nature of the achieved solution has been captured for fractional order, external force and diverse mass. The achieved consequences explicate that the proposed solution method is highly methodical, easy to implement and accurate to analyze the behavior of the nonlinear system relating to allied areas of science and technology. 2023 World Scientific Publishing Company.
International Journal of Biomathematics, Vol-16, No. 3
Veeresha P., Department of Mathematics, Centre for Mathematical Needs, CHRIST (Deemed to be University), Bengaluru, 560029, India; Akinyemi L., Department of Mathematics, Lafayette College, Easton, PA, United States
Analysis and Forecasting of Area Under Cultivation of Rice in India: Univariate Time Series Approach
ARIMA; Holt's exponential smoothing; NNAR models; Time series analysis; Univariate analysis
This study uses three distinct models to analyse a univariate time series of data: Holt's exponential smoothing model, the autoregressive integrated moving average (ARIMA) model, and the neural network autoregression (NNAR) model. The effectiveness of each model is assessed using in-sample forecasts and accuracy metrics, including mean absolute percentage error, mean absolute square error, and root mean square log error. The area under cultivation in India for the following 5years is predicted using the model whose fitted values are most like the observed values. This is determined by performing a residual analysis. The time series data used for the study was initially found to be non-stationary. It is then transformed into stationary data using differencing before the models can be used for analysis and prediction. 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
All Open Access; Bronze Open Access; Green Open Access
Annamalai N., CHRIST (Deemed to be University), Pune Lavasa, India; Johnson A., CHRIST (Deemed to be University), Pune Lavasa, India
A Qualitative Study to Understand the Nature of Abuse Experienced by Persons with Severe Mental Illness
multiple forms; qualitative enquiry; severe mental disorders; victimization
Persons with Severe Mental Illness (PwSMI) living in the community are considered high-risk groups for victimization. However, the nature of violence experienced by PwSMI is not well understood in India, which limits the effectiveness of clinical interventions to prevent revictimization. The Key Informant Interviews (KIIs) and Focused Group Discussion guides were developed, content validated, and pilot tested. A total of 27 KIIs and 5 focus groups were conducted with 14 PwSMIs, 19 experts, and 18 caregivers. Thematic analysis was done using Braun and Clarke's six stages of thematic analysis. The saturation of themes was determined using the Comparative Method for Themes Saturation (CoMeTS). Some of the themes and subthemes that emerged were (1) Physical Abuse (physical restraining, hitting, spitting), (2) Psychological Abuse (living in a controlling environment, criticized, neglected, scapegoated, symptomization of emotions and behavior),(3) Sexual Abuse (sexual assault, reproductive coercion, sexual exploitation), (4) Social Abuse (teased or labeled, social deprivation, abandonment, discrimination, and exclusion), and (5) Trauma in formal care (Coercive treatment practices, seclusion, negative attitude of staff, surreptitious prescribing of medicines, patronizing behavior). Abuse experienced by PwSMI has significant treatment and health care costs and an increased burden on families and society, so comprehensive psychosocial care and support are needed to prevent revictimization. Copyright 2023, Mary Ann Liebert, Inc., publishers 2023.
Rani A.; Raman K.J.; Antony S.; Thirumoorthy A.; Chethan B.
Violence and Gender, Vol-10, No. 1, pp. 45-56.
https://doi.org/10.1089/vio.2022.0046 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150453096&doi=10.1089%2fvio.2022.0046&partnerID=40&md5=5da98b06c5f50c19ae888efef32555a3
Rani A., Department of Psychology, School of Social Sciences, Bangalore Central Campus, Christ (Deemed to Be University), Bengaluru, India; Raman K.J., Department of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences (INI), Bengaluru, India; Antony S., Department of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences (INI), Bengaluru, India; Thirumoorthy A., Department of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences (INI), Bengaluru, India; Chethan B., Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (INI), Bengaluru, India
Microbial engineering strategies for synthetic microplastics clean up: A review on recent approaches
Biotechnology approaches; Enzyme engineering; Microbial engineering; Microplastic; Microplastic removal; Sources of microplastics
Microplastics are the small fragments of the plastic molecules which find their applications in various routine products such as beauty products. Later, it was realized that it has several toxic effects on marine and terrestrial organisms. This review is an approach in understanding the microplastics, their origin, dispersal in the aquatic system, their biodegradation and factors affecting biodegradation. In addition, the paper discusses the major engineering approaches applied in microbial biotechnology. Specifically, it reviews microbial genetic engineering, such as PET-ase engineering, MHET-ase engineering, and immobilization approaches. Moreover, the major challenges associated with the plastic removal are presented by evaluating the recent reports available. 2022 Elsevier B.V.
Kumar V.; Sharma N.; Duhan L.; Pasrija R.; Thomas J.; Umesh M.; Lakkaboyana S.K.; Andler R.; Vangnai A.S.; Vithanage M.; Awasthi M.K.; Chia W.Y.; LokeShow P.; BarcelD.
Environmental Toxicology and Pharmacology, Vol-98
ISSN: 13826689; PubMed ID: 36572198; CODEN: ETOPF
https://doi.org/10.1016/j.etap.2022.104045 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145330547&doi=10.1016%2fj.etap.2022.104045&partnerID=40&md5=787d0a39baf8361db79199522d672d04
Kumar V., Department of Community Medicine, Saveetha Medical College, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India, Ecotoxicity and Bioconversion Laboratory, Department of Community Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Thandalam, 602105, India; Sharma N., School of Biotechnology, Jawaharlal Nehru University, New Delhi, India; Duhan L., Department of Biochemistry, Maharshi Dayanand University, Rohtak, India; Pasrija R., Department of Biochemistry, Maharshi Dayanand University, Rohtak, India; Thomas J., Department of Biotechnology, Mar Athanasius College, Kerala, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Lakkaboyana S.K., Department of Chemistry, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, 600062, India; Andler R., Escuela de Ingenier en Biotecnolog, Centro de Biotecnolog de los Recursos Naturales (Cenbio), Universidad Catica del Maule, Chile; Vangnai A.S., Center of Excellence in Biocatalyst and Sustainable Biotechnology, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand; Vithanage M., Ecosphere Resilience Research Center, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, 10250, Sri Lanka; Awasthi M.K., College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, China; Chia W.Y., Department of Chemical and Environmental Engineering, Faculty Science and Engineering, University of Nottingham, Selangor Darul Ehsan, Semenyih, 43500, Malaysia; LokeShow P., Department of Chemical and Environmental Engineering, Faculty Science and Engineering, University of Nottingham, Selangor Darul Ehsan, Semenyih, 43500, Malaysia, Zhejiang Provincial Key Laboratory for Subtropical Water Environment and Marine Biological Resources Protection, Wenzhou University, Wenzhou, 325035, China, Department of Sustainable Engineering, Saveetha School of Engineering, SIMATS, Chennai, 602105, India; BarcelD., Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research, IDAEA-CSIC, Jordi Girona, 1826, Barcelona, 08034, Spain, Catalan Institute for Water Research (ICRA-CERCA), Parc Cientic i Tecnolic de la Universitat de Girona, c/Emili Grahit, 101, Edifici H2O, Girona, 17003, Spain, Sustainability Cluster, School of Engineering, UPES, Dehradun, India
Effect of salicylic acid, jasmonic acid, and a combination of both on andrographolide production in cell suspension cultures of Andrographis paniculata (Burm.f.) Nees
Abiotic elicitors; Andrographis paniculata; Andrographolide; Cell suspension cultures; Jasmonic acid; Salicylic acid
Elicitors act as signaling compounds that can induce and enhance the production of metabolites by activating biochemical pathways in response to external stress. Salicylic acid (SA) acts as a signaling molecule in plants in response to an attack by biotrophic pathogens whereas jasmonic acid (JA) is released in plants in response to wounds and herbivory. Both the signaling molecules aid in plant chemical defenses by increasing the production of secondary metabolites. The present study investigates the effect of SA, JA, and the combination of both (SA + JA) on the andrographolide content in cell suspension cultures of Andrographis paniculata. Four different concentrations (25, 50, 75, and 100 M) of SA and JA individually, and an equimolar combination of both SA and JA together, were administered to cell suspension cultures taken in triplicates at shake flask scale. Andrographolide content was estimated using high performance liquid chromatography. Both SA and JA showed a positive effect on andrographolide content with the increase in their concentrations. SA at its highest concentration resulted in just 0.18-fold increase (83.33 6.7 g/g DCW) in andrographolide content compared to control, whereas JA resulted in a 3-fold increase (211 5.8 g/g DW); the combination of both SA and JA had an intermediate effect at all concentrations except one concentration (75 + 75 M) which resulted in a 3.8-fold increase (280 2.7 g/g DW), in andrographolide content. 2023 Ahmed and Praveen.
Journal of Applied Biology and Biotechnology, Vol-11, No. 2, pp. 198-203.
https://doi.org/10.7324/JABB.2023.110220 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146946821&doi=10.7324%2fJABB.2023.110220&partnerID=40&md5=c28bd33c3fcd40950578560d6fadff74
Ahmed N., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Praveen N., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India
Implementing privacy and data confidentiality within the framework of the Internet of Things
artificial intelligence; blockchain; confidentiality of data; data protection; GDPR; Internet of Things; security of data
Throughout the current and future worldwide Web network infrastructure, the notion of the Internet of Things (IoT) foresees the pervasive interconnection and cooperation of intelligent things. As such, the IoT is simply the next logical step in the expansion of the Web into the real world, ushering in a plethora of unique services that will enhance peoples lives, give rise to entirely new economic sectors and smarten up the physical infrastructure upon which we rely, including buildings, cities and transportation networks. As smart devices permit widespread information collection or tracking, the IoT will not be able to reach its full potential if the vision for the IoT is not implemented appropriately. These helpful characteristics are countered by concerns over confidentiality, which have, to date, hindered the viability of IoT aspirations. In the face of widespread surveillance, the management of private information and the development of tools to limit or evade pervasive monitoring and analysis are two examples of the new difficulties brought about by such dangers. This paper considers the privacy concerns raised by the Internet of Things in depth. Henry Stewart Publications 2398-1679 (2023).
Journal of Data Protection and Privacy, Vol-5, No. 4, pp. 374-387.
https://doi.org/10.69554/tksr6497 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163763319&doi=10.69554%2ftksr6497&partnerID=40&md5=9ae7f5e01d5b35b94106cffa73756ef2
Goel A., CHRIST University, 30 Valor Court, At Post Dasve Lavasa, Taluka Mulshi, Maharashtra, Pune, 412112, India; Sahil G., CHRIST University, 30 Valor Court, At Post Dasve Lavasa, Taluka Mulshi, Maharashtra, Pune, 412112, India
Pattern of acquisition of theory of mind in pre-schoolers: A cross-sectional study from South India
Collectivistic; Individualistic; Pre-schoolers; Theory of mind
Background: Theory of Mind (ToM) is an important part of children's social cognitive development. The pattern of ToM acquisition depends on many factors including culture, the number of family members, and siblings. This study aimed to examine the pattern of ToM acquisition in Indian culture. Methods: We conducted a cross-sectional study among preschool children (three to six years) (N = 118) from rural and urban backgrounds. ToM development was assessed using the Wellman and Liu Theory of Mind Scale and the Children's Social Understanding Scale (parent report). Results: The order of acquisition of ToM in Indian children was as follows: diverse desire> diverse belief> knowledge access> explicit false belief> content false belief> hidden emotion. The number of siblings positively correlated with the total ToM task score, and the number of adults in the family did not show any positive correlation. Conclusions: Although India is a collectivistic country, the acquisition pattern of ToM in our population was like that of individualistic countries such as the United States. 2023 Elsevier B.V.
Vishwanath R.; Kamath A.G.; Thomas N.; Guddattu V.; Praharaj S.K.
https://doi.org/10.1016/j.ajp.2022.103443 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145658696&doi=10.1016%2fj.ajp.2022.103443&partnerID=40&md5=ac4a08e40478a5e561c3c9f9da1d41f5
Vishwanath R., Department of Psychiatry, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Karnataka, Manipal, India; Kamath A.G., Department of Psychiatry, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Karnataka, Manipal, India; Thomas N., Consultant Clinical Psychologist, Karnataka, Manipal, India, PhD Scholar, Christ University, Karnataka, Bengaluru, India; Guddattu V., Department of Data Science, Prasanna School of Public Health, Manipal Academy of Higher Education, Karnataka, Manipal, India; Praharaj S.K., Department of Psychiatry, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Karnataka, Manipal, India
Optimized production of keratinolytic proteases from Bacillus tropicus LS27 and its application as a sustainable alternative for dehairing, destaining and metal recovery
Bacillus tropicus; Dehairing; Destaining; Keratinase; Metal recovery; Optimization; Protease
The present study describes the isolation and characterization of Bacillus tropicus LS27 capable of keratinolytic protease production from Russell Market, Shivajinagar, Bangalore, Karnataka, with its diverse application. The ability of this strain to hydrolyze chicken feathers and skim milk was used to assess its keratinolytic and proteolytic properties. The strain identification was done using biochemical and molecular characterization using the 16S rRNA sequencing method. Further a sequential and systematic optimization of the factors affecting the keratinase production was done by initially sorting out the most influential factors (NaCl concentration, pH, inoculum level and incubation period in this study) through one factor at a time approach followed by central composite design based response surface methodology to enhance the keratinase production. Under optimized levels of NaCl (0.55 g/L), pH (7.35), inoculum level (5%) and incubation period (84 h), the keratinase production was enhanced from 41.62 U/mL to 401.67 9.23 U/mL (9.65 fold increase) that corresponds to a feather degradation of 32.67 1.36% was achieved. With regard to the cost effectiveness of application studies, the crude enzyme extracted from the optimized medium was tested for its potential dehairing, destaining and metal recovery properties. Complete dehairing was achieved within 48 h of treatment with crude enzyme without any visible damage to the collagen layer of goat skin. In destaining studies, combination of crude enzyme and detergent solution [1 mL detergent solution (5 mg/mL) and 1 mL crude enzyme] was found to be most effective in removing blood stains from cotton cloth. Silver recovery from used X-ray films was achieved within 6 min of treatment with crude enzyme maintained at 40 C. 2023 Elsevier Inc.
Liya S.M.; Umesh M.; Nag A.; Chinnathambi A.; Alharbi S.A.; Jhanani G.K.; Shanmugam S.; Brindhadevi K.
ISSN: 139351; PubMed ID: 36639016; CODEN: ENVRA
https://doi.org/10.1016/j.envres.2023.115283 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146445028&doi=10.1016%2fj.envres.2023.115283&partnerID=40&md5=62e555f71d486d4ce092b92bc30f1894
Liya S.M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Nag A., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Chinnathambi A., Department of Botany and Microbiology, College of Science, King Saud University, PO Box -2455, Riyadh, 11451, Saudi Arabia; Alharbi S.A., Department of Botany and Microbiology, College of Science, King Saud University, PO Box -2455, Riyadh, 11451, Saudi Arabia; Jhanani G.K., Center for Transdisciplinary Research (CFTR), Department of Pharmacology, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India; Shanmugam S., Chair of Biosystems Engineering, Institute of Forestry and Engineering, Estonian University of Life Sciences, Kreutzwaldi 56, Tartu, 51014, Estonia; Brindhadevi K., University Centre for Research & Development, Department of Chemistry, Chandigarh University, Mohali, India
Designing of a Free-Standing Flexible Symmetric Electrode Material for Capacitive Deionization and Solid-State Supercapacitors
capacitive deionization; electrosorption; energy density; energy storage; flexible symmetric device; supercapacitor
In this work, a highly efficient free-standing flexible electrode material for capacitive deionization and supercapacitors was reported. The reported porous carbon shows a high surface area of 2070.4 m2 g-1 with a pore volume of 0.8208 cm3 g-1. The material exhibited a high specific capacitance of 357 F g-1 at 1 A g-1 in a two-electrode symmetric setup. A solid-state supercapacitor device has been fabricated with a total cell capacitance of 152.5 F g-1 at 1 A g-1 in a solid PVA/H2SO4 gel electrolyte with an energy density of 21.18 W h kg-1 at a 501.63 W kg-1power density. A long-run stability test was carried out up to 15,000 cycles at 5 A g-1 that showed capacitance retention of 99% with ?100% Coulombic efficiency. Furthermore, the electrosorption experiment was conducted by a flow-through test by coating on commercially available cellulose thread that was employed, which shows electrosorption ability up to 16.5 mg g-1 at 1.2 V in a 500 mg L-1 NaCl solution. Complete experiments were conducted with a proper procedure, provided by scientific approaches with analytical data. Thus, the reported electrode material showed bifunctional application for energy storage and environmental remediation. 2023 American Chemical Society.
Narayanan A.; Siddiqa A.; Kodihalli N.K.; Hegde G.; Nagaraju D.H.; Padaki M.
ACS Sustainable Chemistry and Engineering, Vol-11, No. 9, pp. 3750-3759.
https://doi.org/10.1021/acssuschemeng.2c06817 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148887331&doi=10.1021%2facssuschemeng.2c06817&partnerID=40&md5=6289acfd5f090c9679df513e170d718b
Narayanan A., Centre for Nano and Material Sciences, JAIN (Deemed-to-be) University, Jain Global, Campus, Karnataka, Bangalore, 562112, India; Siddiqa A., Centre for Nano and Material Sciences, JAIN (Deemed-to-be) University, Jain Global, Campus, Karnataka, Bangalore, 562112, India; Kodihalli N.K., Department of Physics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576 104, India; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India; Nagaraju D.H., Department of Chemistry, School of Applied Sciences, REVA University, Karnataka, Bangalore, 560064, India; Padaki M., Centre for Nano and Material Sciences, JAIN (Deemed-to-be) University, Jain Global, Campus, Karnataka, Bangalore, 562112, India