Psychological distress and quality of community life among migratory construction workers in India
Construction; Distress; Migration; Quality of community life; Workers
Objectives: The objectives of this study are to elicit sociodemographic details, assess the level of psychological distress, and measure the quality of community life (QoCL) of migratory construction workers. Materials and Methods: A cross-sectional research design and survey method of sampling was followed. The semi-structured interview schedule, self-reporting questionnaire, and QoCL scale were used as measures for the study. Results: Out of 75 respondents, 37 (49.3%) did not have formal education, 38 (50.7%) have migrated for less than a month duration, 33 (44.0%) respondents migrated with their families. The mean age of respondents was 32.03 9.82 years. About 48 (64.0%) were identified as potential respondents for psychosocial care and female respondents (M = 12.90 4.03, t = ?3.03, P < 0.003) have higher distress than males (M = 9.50 4.56, t = ?3.03, P < 0.003) ones. Overall, QoCL indicated a below moderate (59.08 8.31) level. Conclusion: The distress was high and QoCL indicated a below moderate level. Intersectoral and community mental health services were required to enhance QoCL and reduce distress among migratory construction workers. 2023 Published by Scientific Scholar on behalf of Journal of Neurosciences in Rural Practice.
Sriramalu S.B.; Elangovan A.R.; Annapally S.R.; Birudu R.; Lakshmana G.
Journal of Neurosciences in Rural Practice, Vol-14, No. 3, pp. 533-540.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.25259/JNRP_42_2022 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169318503&doi=10.25259%2fJNRP_42_2022&partnerID=40&md5=962d0a1da951eda3fb771c493944b4c7
Sriramalu S.B., Jindal School of Psychology and Counselling, O.P. Jindal Global University, Haryana, Sonepat, India; Elangovan A.R., Department of Psychiatric Social Work, National Institute of Mental Health and Neurosciences, India; Annapally S.R., Department of Psychology, School of Social Sciences/Psychology, Christ (Deemed to be University), India; Birudu R., Department of Social Work, CMR University, Bengaluru, India; Lakshmana G., Department of Social Work, Central University of Karnataka, School of Social and Behavioral Sciences, Karnataka, Gulbarga, India
Changing Ways of Watching Content But Has Anything Changed?
Economic and Political Weekly, Vol-58, No. 28, pp. 111-112.
Sebastian R., The Department of English and Cultural Studies, Christ (Deemed to be University), Bengaluru, India
Entropy generation and thermal analyses of a Cross fluid flow through an inclined microchannel with non-linear mixed convection
The temperature difference of the various applications such as microchannel heat exchangers, microelectronics, solar collectors, automotive systems, micro fuel cells, and microelectromechanical systems (MEMS) is relatively large. The buoyancy force (mixed convection) modeled by the conventional Boussinesq approximation is inadequate since the density of the operating fluids fluctuates non-linearly with the temperature difference. Therefore, the mixed non-linear convective transport of the flow of Cross fluid through three different geometric aspects (horizontal, vertical, and inclined) of the microchannel under the non-linear Boussinesq (NBA) approximation is investigated. Mechanisms of internal heat source, Rosseland radiative heat flux, and frictional heating are incorporated into the thermal analysis. The mathematical construction is proposed using the Cross fluid model for a steady-state, and subsequent non-linear differential equations are deciphered by the spectral quasi-linearization method (SQLM). Graphical sketches were constructed and displayed that explore the stimulus of various key parameters on Bejan number, velocity, temperature, and entropy generation. It is found that the Bejan number and entropy production improved due to the non-linear density temperature variation. The convective heating boundary conditions augment the entropy production. The pressure gradient accelerates the transport of fluid in a microchannel. Furthermore, among three different geometries, the velocity, entropy production, and temperature are the highest for the vertical microchannel. 2023 Wiley-VCH GmbH.
Srinivas Reddy C.; Mahanthesh B.; Rana P.; Muhammad T.
ZAMM Zeitschrift fur Angewandte Mathematik und Mechanik, Vol-103, No. 8
https://doi.org/10.1002/zamm.202100364 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147667831&doi=10.1002%2fzamm.202100364&partnerID=40&md5=69ab027ffbd7d5abb922f87e298dde6d
Srinivas Reddy C., Department of Mathematics, Government City College, Telangana, Hyderabad, India; Mahanthesh B., Center of Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Rana P., School of Mathematical Sciences, College of Science and Technology, Wenzhou-Kean University, Wenzhou, China; Muhammad T., Department of Mathematics, College of Sciences, King Khalid University, Abha, Saudi Arabia
Analysis and prediction of Indian stock market: a machine-learning approach
Artificial intelligence; Gradient boosting regressor; KNearest neighbour; LSTM; Machine learning; Normalization; Random forest; RMSE error (root mean square error); Sentiment analysis; Stock market prediction; Support vector machine
Prediction of financial stock market is a challenging task because of its volatile and non- linear nature. The presence of different factors like psychological, sentimental state, rational or irrational behaviour of investors make the stock market more dynamic. With the inculcation of algorithms based on artificial intelligence, deep learning algorithms, the prediction of movement of financial stock market is revolutionized in the recent years. The purpose of using these algorithms is to help the investors for taking decisions related to the Stock Pricing. A model has been proposed to predict the direction of movement of Indian stock market in the near future. This model makes use of historical Indian stock data of companies in nifty 50 since they came existence along with some financial and social indicators like financial news and tweets related to stocks. After pre-processing and normalization various machine learning algorithms like LSTM, support vector machines, KNearest neighbour, random forest, gradient boosting regressor are applied on this time series data to produce better accuracy and to minimize the RMSE error. This model has the ability to reduce major losses to the investors who invest in stock market. The social indicators will give an insight for predicting the direction of stock market. The LSTM network will make use of historical closing prices, tweets and trading volume. 2023, The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.
International Journal of System Assurance Engineering and Management, Vol-14, No. 4, pp. 1567-1585.
Srivastava S., Christ (Deemed to be University), Delhi NCR, Ghaziabad, India; Pant M., IIT Roorkee, Roorkee, India; Gupta V., Christ (Deemed to be University), Delhi NCR, Ghaziabad, India
Assessing performance of alkali-activated bricks incorporated with processed surgical masks
Alkali-activated; Bricks; Durability; Strength; Surgical masks
Since last few years the world is facing tremendous surge in the use of surgical masks due to the COVID19 pandemic. The uncontrolled disposal of surgical masks in the environment will pose serious threat to the living organisms due to plastic pollution. On the other hand, the construction industry is hugely dependent on natural resources, leading to increase in carbon footprint. Therefore, it necessary to investigate novel construction materials with sustainability perspective. In present study, alkali-activated bricks were synthesized with rice husk ash (RHA), ground granulated blast furnace slag (GGBFS), sand, and sodium silicate (SS). To this, processed surgical masks (PSM) were added in varying doses of 0%, 1%, 2%, 3%, and 4% by volume of the mix. The results revealed that addition of PSM significantly improved the strength properties of the bricks with a maximum compressive strength of 6.85 MPa at inclusion of 4% PSM. At the same time, it has reduced the density of bricks with a minimum value of 1.54 g/cm3 at inclusion of 4% PSM. The incorporation of PSM has slightly increased the water absorption and porosity of the bricks, with a maximum increase of 4.76% and 7.75% for bricks with 4% PSM, when compared to bricks with 0% PSM, respectively. The accelerated ageing test showed that after three cycles of wetting and drying the bricks exhibited loss in compressive strength in the range of 55.2%58.6%. The microstructure results revealed the bridging effect of fibrous mask particles in improving the load transfer in polymer matrix, and thereby reducing the brittle tensile failure in bricks. The pushover analysis showed the benefit of PSM in improving the performance of the infill walls due to improvement in brick strength and reduction in its self-weight, and therefore, it can be considered as a potential material for use in construction of buildings in seismically vulnerable areas. 2023 The Author(s)
Thoudam K.; Hossiney N.; Lakshmish Kumar S.; Alex J.; Bhalkikar A.; Fathima A.
Journal of Materials Research and Technology, Vol-25, pp. 6432-6445.
https://doi.org/10.1016/j.jmrt.2023.07.095 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165955449&doi=10.1016%2fj.jmrt.2023.07.095&partnerID=40&md5=85e666e00099e7b37479ac8290d1738f
Thoudam K., Department of Civil Engineering, Christ University, Bangalore, 560074, India; Hossiney N., Department of Civil Engineering, Christ University, Bangalore, 560074, India; Lakshmish Kumar S., Department of Civil Engineering, Christ University, Bangalore, 560074, India; Alex J., Department of Civil Engineering, Christ University, Bangalore, 560074, India; Bhalkikar A., Department of Civil Engineering, Christ University, Bangalore, 560074, India; Fathima A., Department of Civil Engineering, Christ University, Bangalore, 560074, India
RayleighBard magnetoconvection with asymmetric boundary condition and comparison of results with those of symmetric boundary condition
Chaos; Lorenz model; Magnetic field; Nanofluids; RungeKutta method
The paper concerns two RayleighBard magnetoconvection problems, one in a mono-nanofluid (H2OCu) and the other in a hybrid nanofluid (H2OCuAl2O3) bounded by asymmetric boundaries. A minimal FourierGalerkin expansion is used to obtain the generalized Lorenz model (GLM) which is then reduced to an analytically solvable GinzburgLandau equation using the multiscale method. The results of asymmetric boundaries are extracted by using the Chandrasekhar function with appropriate scaling of the Rayleigh number and the wave number. The solution of the steady-state version of the GLM is used to estimate the Nusselt number analytically, and the unsteady version is solved numerically to estimate the time-dependent Nusselt number and also to study regular, chaotic, and periodic convection. Streamlines are plotted and analyzed in both steady and unsteady states. The analytical expression for the HopfRayleigh number, rH , coincides with the value predicted using the bifurcation diagram. This number determines the onset of chaos. For r?> rH , one observes chaotic motion with spells of periodic motion in between. For r?< rH , one sees non-chaotic motion (regular motion). It is found that by increasing the strength of the magnetic field, we can prolong the existence of regular motion by suppressing the manifestation of chaos. The Lorenz attractor is a signature of chaos since it is found that the attractor appears only for r?> rH . The magnitude of the influence of the asymmetric boundary on rH is between those of the two symmetric boundary conditions with the freefree isothermal boundary being the one that most favors chaotic motion: A result also seen in the context of regular convection. 2023, Akadiai Kiad Budapest, Hungary.
Arshika S.N.; Siddheshwar P.G.; Tarannum S.
Journal of Thermal Analysis and Calorimetry, Vol-148, No. 14, pp. 7333-7356.
Springer Science and Business Media B.V.
Arshika S.N., Department of Mathematics, Centre for Mathematical Needs, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India; Siddheshwar P.G., Department of Mathematics, Centre for Mathematical Needs, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India; Tarannum S., Department of Professional Studies, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India
Imidazopyridine chalcones as potent anticancer agents: Synthesis, single-crystal X-ray, docking, DFT and SAR studies
anticancer; docking; imidazopyridine; SAR studies; X-ray
New imidazopyridinechalcone analogs were synthesized through the ClaisenSchmidt condensation reaction. The newly synthesized imidazopyridine-chalcones (S1S12) were characterized using spectroscopic and elemental analysis. The structures of compounds S2 and S5 were confirmed by X-ray crystallography. The global chemical reactivity descriptor parameter was calculated using theoretically (DFT-B3LYP-3-211, G) estimated highest occupied molecular orbital and lowest unoccupied molecular orbital values and the results are discussed. Compounds S1S12 were screened on A-549 (lung carcinoma epithelial cells) and MDA-MB-231 (M.D. Anderson-Metastatic Breast 231) cancer cell lines. Compounds S6 and S12 displayed exceptional antiproliferative activity against lung A-549 cancer cells with IC50 values of 4.22 and 6.89 M, respectively, compared to the standard drug doxorubicin (IC50 = 3.79 ?M). In the case of the MDA-MB-231 cell line, S1 and S6 exhibited exceptionally superior antiproliferative activity with IC50 of 5.22 and 6.50 ?M, respectively, compared to doxorubicin (IC50 = 5.48 ?M). S1 was found to be more active than doxorubicin. Compounds S1S12 were tested for their cytotoxicity on human embryonic kidney 293 cells, which confirmed the nontoxic nature of the active compounds. Further molecular docking studies verified that compounds S1S12 have a higher docking score and interacted well with the target protein. The most active compound S1 interacted well with the target protein carbonic anhydrase II in complex with pyrimidine-based inhibitor, and S6 with human Topo II? ATPase/AMP-PNP. The results suggest that imidazopyridine-chalcone analogs may serve as new leads as anticancer agents. 2023 Deutsche Pharmazeutische Gesellschaft.
Soumyashree D.K.; Reddy D.S.; Nagarajaiah H.; Naik L.; Savanur H.M.; Shilpa C.D.; Sunitha Kumari M.; Shanavaz H.; Padmashali B.
ISSN: 3656233; PubMed ID: 37208792; CODEN: ARPMA
https://doi.org/10.1002/ardp.202300106 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159658186&doi=10.1002%2fardp.202300106&partnerID=40&md5=262869f749ab92f5ecb16f20f81edd62
Soumyashree D.K., Department of Chemistry, School of Basic Science, Rani Channamma University, Karnataka, Belagavi, India; Reddy D.S., Centre for Nano and Material Sciences, Jain (Deemed-to-be University), Jain Global Campus, Karnataka, Bangalore, India; Nagarajaiah H., Department of Chemistry, School of Applied Sciences, REVA University, Karnataka, Bangalore, India; Naik L., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, India; Savanur H.M., Department of Chemistry, P. C. Jabin Science College, Karnataka, Hubballi, India; Shilpa C.D., Department of Chemistry, School of Applied Sciences, REVA University, Karnataka, Bangalore, India; Sunitha Kumari M., Department of Physics, Yuvaraja's College, University of Mysore, Karnataka, Mysuru, India; Shanavaz H., Department of Chemistry, Faculty of Engineering and Technology, Jain University, Jain Global Campus, Karnataka, Bangalore, India; Padmashali B., Department of Chemistry, School of Basic Science, Rani Channamma University, Karnataka, Belagavi, India
Patent Dispute settlement through Arbitration and the public policy concerns
India is a developing nation, which had shown both progress and decline in economy over the years. Intellectual property rights are considered as an important asset of a nation. National legislations are made in par with the international conventions and treaties, more concentration on the industry and investments are needed for the development of the nation. Patent legislations changed on basis of the national and international needs. The monopoly right granted for an invention is on the basis of their intellectual skill. Patent dispute settlement mechanisms are mainly patent office through controller of patent, District Court & High Court and the patent tribunals. Patent is granted for 20years in India. The patent holder can utilize the same within this short span of time. Hence all the patent holders and the public challenging the validity of the patent, expect a speedy justice in patent disputes. This research paper addresses the question as to whether subject matters that can be referred for arbitration can be limited on grounds of public policy. Further the paper will address the issues as to whether arbitration can be effective mechanism for settling patent disputes in India. 2023 Brazilian Center for Mediation and Arbitration - CBMA. All Rights Reserved.
Revista Brasileira de Alternative Dispute Resolution, Vol-4, No. 8, pp. 227-248.
Brazilian Center for Mediation and Arbitration - CBMA
https://doi.org/10.52028/rbadr.v4i8.11 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175196320&doi=10.52028%2frbadr.v4i8.11&partnerID=40&md5=03288186315386b1817657a156e7ee2b
Suresh S., School of Law, Christ [Deemed to be University], Bangalore, India; Nair J.S., School of Law, Christ [Deemed to be University], Bangalore, India
AN IOT-BASED COMPUTATIONAL INTELLIGENCE MODEL TO PERFORM GENE ANALYTICS IN PATERNITY TESTING AND COMPARISON FOR HEALTH 4.0
Correlation Clustering; Gene Analysis; Iot; Paternity Testing
Parental comparison and parenthood testing are essential in various legal and medical scenarios. The accuracy and reliability of these tests heavily rely on the gene analysis algorithms used. However, analyzing the quality of succession data are quite challenging due to the presence of detrimental characteristics. To address this issue, we propose using machine learning-based algorithms such as clustering (Correlation-based) and Classification (Modified Naive Bayesian) to separate these characteristics from the parent-child gene array. This progression helps to identify, validate, and select tools, techniques for scrutinizing indecent sequences, leading to accurate and reliable results. In this paper, we present an IoT-based intelligence tool for parental comparison that uses a secure gene analysis algorithm. The model employs multiple sensors and devices to collect genetic data, which is then securely processed and analyzed using contemporary algorithms. The suggested model uses advanced techniques such as encryption and decryption to ensure the privacy and confidentiality of the genetic information. Our experimental consequences reveal that the proposed model is reliable, secure, and provides accurate results. The model has the potential to be used in various legal and medical contexts where the security and reliability of genetic data are critical. 2023 Little Lion Scientific.
Arputharaj V.J.; Sankar K.; Kumar A.S.; Sridevi M.; Prasad D.D.
Journal of Theoretical and Applied Information Technology, Vol-101, No. 14, pp. 5781-5796.
Arputharaj V.J., Department of Computer Science, CHRIST (Deemed to Be University), India; Sankar K., Department of Computer Science and Engineering (Data Science), CVR College of Engineering, Telangana, Hyderabad, India; Kumar A.S., Department of Computer Science, Skyline University, Nigeria; Sridevi M., Department of Computer Science and Engineering, CVR College of Engineering, (V) Ibrahimpatnam (M), R R District, Telangana, Mangalpalli, 501 510, India; Prasad D.D., Department of ECE, Vishnu Institute of Technology, AP, Bhimavaram, India
Fullerenes in the circumstellar medium of Herbig Ae/Be stars: insights from the Spitzer mid-infrared spectral catalog
astrochemistry; infrared: general; ISM: molecules; stars: variables: T Tauri, Herbig Ae/Be
This study presents the largest mid-infrared spectral catalogue of Herbig Ae/Be stars to date, containing the Spitzer Infrared Spectrograph spectra of 126 stars. Based on the catalogue analysis, two prominent infrared vibrational modes of C60 bands at 17.4 and 18.9 ?m are detected in the spectra of nine sources, while 7.0 ?m feature is identified in the spectra of HD 319896. The spectral index analysis and the comparison of the known sources with C60 features indicated that there exist two different types of emission classes among the sample of stars. The infrared spectra of six Herbig Ae/Be stars in this study resemble that of reflection nebulae, and their association with previously known reflection nebulae is confirmed. In the case of three Herbig Ae/Be stars, we report the tentative evidence of C60 emission features originating from the circumstellar disc or nearby diffused emission region. The detection fraction of C60 in the total HAeBe star sample is ?7 per cent, whereas the detection fraction is 30 per cent for HAeBe stars associated with nebulosity. In the catalog, C60 is exclusively present in the circumstellar regions of B type Herbig Ae/Be stars, with no evidence of its presence detected in stars with later spectral types. The present study has increased the number of young stellar objects and reflection nebulae detected with C60 multifold, which can help in understanding the excitation and formation pathway of the species. 2023 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.
Arun R.; Mathew B.; Manoj P.; Maheswar G.; Shridharan B.; Kartha S.S.; Narang M.
Monthly Notices of the Royal Astronomical Society, Vol-523, No. 2, pp. 1601-1613.
https://doi.org/10.1093/mnras/stad1511 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161702882&doi=10.1093%2fmnras%2fstad1511&partnerID=40&md5=12e06089e8d7aa423421d22d9b70416c
Arun R., Indian Institute of Astrophysics, Sarjapur Road, Koramangala, Bangalore, 560034, India, Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Mathew B., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Manoj P., Tata Institute of Fundamental Research, Homi Bhabha Road, Mumbai, 400005, India; Maheswar G., Indian Institute of Astrophysics, Sarjapur Road, Koramangala, Bangalore, 560034, India; Shridharan B., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Kartha S.S., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Narang M., Tata Institute of Fundamental Research, Homi Bhabha Road, Mumbai, 400005, India, Institute of Astronomy and Astrophysics, Academia Sinica, No. 1, Section 4, Roosevelt Road, Taipei, 10617, Taiwan
Heat and mass transfer of AgH2O nano-thin film flowing over a porous medium: A modified Buongiorno's model
Porous medium; Temperature slip; Thermal radiation; Thin films; Velocity slip
Due to their numerous applications, such as fibre and wire coating, polymer preparation, etc., thin films have recently come into focus in the analysis of heat and mass transport. As a result, the current article's main objective is to investigate how heat and mass are transferred when an AgH2O (sliverwater) thin film flows past a stretching sheet that is subject to thermal and velocity slips. The research takes into account other variables including porosity, thermal radiation, thermophoresis, and Brownian motion, among others, to ensure that the outcomes are consistent with real-world conditions. Along with these parameters, the impact of the nanoparticle volume fraction is also analysed by incorporating the modified model of the existing Buongiorno model. The resulting mathematical model is transformed into ordinary differential equations with the help of appropriate similarity transformation. The system of equations thus obtained is solved by employing the RKF-45 technique and the outcomes are expressed in terms of graphs and tables. The major outcomes indicate that the increase in the mixed convection parameter causes enhancement in the temperature profile while a reduction in the velocity profile. The thermophoresis is found to increase both the temperature and concentration profiles of the thin film. Whereas, the greater values of the volume fraction of the nanoparticles enhance the temperature and diminishes the velocity. 2023 The Physical Society of the Republic of China (Taiwan)
Wang F.; Saeed A.M.; Puneeth V.; Shah N.A.; Anwar M.S.; Geudri K.; Eldin S.M.
Chinese Journal of Physics, Vol-84, pp. 330-342.
https://doi.org/10.1016/j.cjph.2023.01.001 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151290769&doi=10.1016%2fj.cjph.2023.01.001&partnerID=40&md5=23ba4824dff284f95ad07a969092a8a7
Wang F., School of Mathematics and Statistics, Xuzhou University of Technology, Xuzhou, 22108, China, College of Education, Nanchang Normal College of Applied Technology, Nanchang, 330108, China; Saeed A.M., Department of Mathematics, College of Science, Qassim University, Buraydah, Saudi Arabia; Puneeth V., Department of Computational Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, India; Shah N.A., Department of Mechanical Engineering, Sejong University, Seoul, South Korea; Anwar M.S., Department of Mathematics, University of Jhang, Gojra Road, Jhang, 35200, Pakistan; Geudri K., Mechanical Engineering Department, College of Engineering and Islamic Architecture, Umm Al-Qura University, P.O. Box 5555, Makkah, 21955, Saudi Arabia; Eldin S.M., Center for Research, Faculty of Engineering, Future University in Egypt, New Cairo, 11835, Egypt
Design and implementation of dual-leg generic converter for DC/AC grid integration
chopper; generic converter; grid; inverter; PV DC-AC converter; PV DC-DC converter
A newly designed generic photo-voltaic (PV) DC-DC/DC-AC converter is for direct current (DC) grid or single-phase alternating current (AC) grid integration. Main concept of the proposed converter is universal power conversion, and the same converter is used for DC-DC/DC-AC applications which also aiming for minimum redundancy because the proposed converter can be able to produce DC and AC output from the fixed/variable DC source. The proposed converter is designed with single-stage dual leg topology, with a designed filter, and protection circuits are connected in output/grid side. The proposed circuit is compared with existing topologies, and comparative analyses are made in both chopper (DC-DC) and inverter (DC-AC) modes for universal or generic operation. Real-time implementation of the proposed model is prepared for the power rating of 3.5 KW during inverter mode and 4 KW when same circuit working in chopper mode. Hardware results are obtained from the model from both chopper and inverter modes. Finally, correct applications, advantages, and future work are concluded in the last section. 2023 John Wiley & Sons Ltd.
International Journal of Circuit Theory and Applications, Vol-51, No. 8, pp. 3865-3879.
https://doi.org/10.1002/cta.3614 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152787926&doi=10.1002%2fcta.3614&partnerID=40&md5=250cf9b46b72d2d09a6c65d88a74c241
Suresh K., Department of Electrical and Electronics Engineering, Christ - Deemed to be University, Bangalore, India; Parimalasundar E., Department of Electrical and Electronics Engineering, Sree Vidyanikethan Engineering College, Tirupati, India
Psychological Experiences and Perceived Social Support: A Study on Indian Mothers of Children with Type 1 Diabetes
India; maternal well?being; phenomenology; thematic analysis; Type 1 diabetes
Introduction: Mothers are often the primary caregivers of children in Indian homes. Mothers of children with Type 1 diabetes experience an emotional toll of this challenging responsibility that the lack of social support can exacerbate. Health care for children with Type 1 diabetes in India commonly addresses the medical condition and its associated symptoms, whereas mothers, who bear the primary responsibility of the childrens care, are most often neglected. This study aimed to understand the psychological experiences and perceived social support of Indian mothers whose children are diagnosed with Type 1 diabetes. Methods: This phenomenological research was conducted using semi-structured interviews with mothers using purposive sampling between the ages of 24 and 45 years (n = 13) and analyzed using thematic analysis. The data analysis and collection were done between January 2022 and December 2022. Results: Thematic analysis revealed six main themes of psychological distress, multifold strain, poor Type 1 diabetes mellitus education and stigma, need for social and familial support, caregiver burden, and coping. The findings from this research suggest that such experiences can make it difficult for them to cope with their childs diabetes and have a negative impact on their mental health. Conclusion: This study highlights the need for culture-appropriate interventions to address the social and emotional needs of such mothers. It is essential to educate families and the community as a whole about the needs of both mothers and children with Type 1 diabetes. 2023 Asian Journal of Social Health and Behavior.
Asian Journal of Social Health and Behavior, Vol-6, No. 3, pp. 105-111.
https://doi.org/10.4103/shb.shb_37_23 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180291098&doi=10.4103%2fshb.shb_37_23&partnerID=40&md5=3e3bafed3356aece36a3c8198cdab4ef
Pusalkar S., Department of Psychology, CHRIST (Deemed to be University) Delhi?NCR, Block B, Nandgram Road, Marium Nagar, Sewa Nagar, Uttar Pradesh, Ghaziabad, 201003, India; Majumdar I.G., Department of Psychology, CHRIST (Deemed to be University) Delhi?NCR, Block B, Nandgram Road, Marium Nagar, Sewa Nagar, Uttar Pradesh, Ghaziabad, 201003, India
Artificial Neural Network with Firefly Algorithm-Based Collaborative Spectrum Sensing in Cognitive Radio Networks
Channel Selection; Cognitive radio; Improved genetic algorithm; Spectrum assignment; Spectrum Sensing
Recent advances in Cognitive Radio Networks (CRN) have elevated them to the status of a critical instrument for overcoming spectrum limits and achieving severe future wireless communication requirements. Collaborative spectrum sensing is presented for efficient channel selection because spectrum sensing is an essential part of CRNs. This study presents an innovative cooperative spectrum sensing (CSS) model that is built on the Firefly Algorithm (FA), as well as machine learning artificial neural networks (ANN). This system makes use of user grouping strategies to improve detection performance dramatically while lowering collaboration costs. Cooperative sensing wasn't used until after cognitive radio users had been correctly identified using energy data samples and an ANN model. Cooperative sensing strategies produce a user base that is either secure, requires less effort, or is faultless. The suggested method's purpose is to choose the best transmission channel. Clustering is utilized by the suggested ANN-FA model to reduce spectrum sensing inaccuracy. The transmission channel that has the highest weight is chosen by employing the method that has been provided for computing channel weight. The proposed ANN-FA model computes channel weight based on three sets of input parameters: PU utilization, CR count, and channel capacity. Using an improved evolutionary algorithm, the key principles of the ANN-FA scheme are optimized to boost the overall efficiency of the CRN channel selection technique. This study proposes the Artificial Neural Network with Firefly Algorithm (ANN-FA) for cognitive radio networks to overcome the obstacles. This proposed work focuses primarily on sensing the optimal secondary user channel and reducing the spectrum handoff delay in wireless networks. Several benchmark functions are utilized We analyze the efficacy of this innovative strategy by evaluating its performance. The performance of ANN-FA is 22.72 percent more robust and effective than that of the other metaheuristic algorithm, according to experimental findings. The proposed ANN-FA model is simulated using the NS2 simulator, The results are evaluated in terms of average interference ratio, spectrum opportunity utilization, three metrics are measured: packet delivery ratio (PDR), end-to-end delay, and end-to-average throughput for a variety of different CRs found in the network. Copyright 2023 KSII.
Velmurugan S.; Ezhumalai P.; Mary Anita E.A.
KSII Transactions on Internet and Information Systems, Vol-17, No. 7, pp. 1951-1975.
Velmurugan S., Department of Information Technology, R.M.D. Engineering College, Chennai, India; Ezhumalai P., Department of Computer Science, Engg. R.M.D. Engineering College, Chennai, India; Mary Anita E.A., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Bengaluru, India
The Rayleigh-Bard problem for water with maximum density effects
Linear stability and weakly nonlinear stability analyses are developed for Rayleigh-Bard convection in water near 3.98 C subject to isothermal boundary conditions. The density-temperature relationship (equation of state) is approximated by a cubic polynomial, including linear, quadratic, and cubic terms. The continuity equation, the Navier-Stokes momentum equation, the equation of state, and the energy equation constitute the governing system. Linear stability analysis is used to investigate how the maximum density property of water affects the onset of convective instability and the choice of unstable wave number for four different types of boundary conditions. Then, a weakly nonlinear stability study is done using the spectral Fourier method for isothermal tangential stress-free boundary conditions to quantify the heat transport of the system and demonstrate the transition from regular/periodic convection to chaotic convection. A Stuart-Ginzburg-Landau equation is obtained using the multiscale expansion method. Streamlines and isotherms are presented and analyzed. The influence of maximum density has been shown to delay the onset of instability and is, therefore, a stabilizing mechanism for thermal instability. Due to the maximum density, the onset of chaotic convection is also delayed. Among four different boundaries, the impermeable rigid boundaries require the highest Rayleigh number for instability to begin. Increasing boundary temperatures advance the onset of chaotic convection and improve the heat transport situation. 2023 Author(s).
https://doi.org/10.1063/5.0155687 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165433727&doi=10.1063%2f5.0155687&partnerID=40&md5=f5dfe2e3a559fca6c0aee9f292acc928
Basavarajappa M., School of Mathematical and Statistical Sciences, The University of Texas Rio Grande Valley, Edinburg, 78539, TX, United States, Center of Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Bhatta D., School of Mathematical and Statistical Sciences, The University of Texas Rio Grande Valley, Edinburg, 78539, TX, United States
Exploration of low heat rejection engine characteristics powered with carbon nanotubes-added waste plastic pyrolysis oil
Low heat rejection engine; Nanoadditive; NOx reduction; Pyrolysis process; Waste plastic oil
Compression ignition (CI)-powered alternative energy sources are currently the main focus due to the constantly rising worldwide demand for energy and the growing industrialization of the automotive sector. Due to their difficulty of disposal, non-degradable plastics contribute significantly to solid waste and pollution. The waste plastics were simply dropped into the sea, wasting no energy in the process. Attempts have been made to convert plastic waste into usable energy through recycling. Waste plastic oil (WPO) is produced by pyrolyzing waste plastic to produce a fuel that is comparable to diesel. Initially, a standard CI engine was utilized for testing with diesel and WPO20 (20% WPO+80% diesel). When compared to conventional fuel, the brake thermal efficiency (BTE) of WPO20 dropped by 3.2%, although smoke, carbon monoxide (CO), and hydrocarbon (HC) emissions were reasonably reduced. As a result, nitrogen oxide (NOx) emissions decreased while HC and CO emissions marginally increased in subsequent studies utilizing WPO20 with the addition of 5% water. When combined with WPO20 emulsion, nanoadditives have the potential to significantly cut HC and CO emissions without impacting performance. The possibility of incorporating nanoparticles into fuel to improve performance and lower NOx emissions should also be explored. In order to reduce heat loss through the coolant, prevent heat transfer into the cylinder liner, and increase combustion efficiency, the thermal barrier coating (TBC) material is also coated inside the combustion chamber surface. In this work, low heat rejection (LHR) engines powered by emulsion WPO20 containing varying percentages of carbon nanotubes (CNT) are explored. The LHR engine was operated with a combination of 10 ppm, 20 ppm, and 30 ppm CNT mixed with WPO20. It was shown that while using 20 ppm of CNT with WPO20, smoke, hydrocarbons, and carbon monoxide emissions were reduced by 11.9%, 21.8%, and 22.7%, respectively, when compared to diesel operating in normal mode. The LHR engine achieved the greatest BTE of 31.7% as a result of the improved emulsification and vaporization induced by CNT-doped WPO20. According to the study's findings, WPO20 with 20 ppm CNT is the most promising low-polluting fuel for CI engines. 2023 The Institution of Chemical Engineers
Murugesan P.; Elumalai P.V.; Balasubramanian D.; Padmanabhan S.; Murugunachippan N.; Afzal A.; Sharma P.; Kiran K.; Femilda Josephin J.S.; Varuvel E.G.; Tuan Le T.; Truong T.H.
Process Safety and Environmental Protection, Vol-176, pp. 1101-1119.
https://doi.org/10.1016/j.psep.2023.06.051 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164324595&doi=10.1016%2fj.psep.2023.06.051&partnerID=40&md5=ce9ea8590820eeac078bf3b1b4e7b68c
Murugesan P., Sankar Advanced Mobility Solution Private Limited, Mel Ayanambakkam, Ambattur Industrial Estate, Tamil Nadu, Chennai, 600095, India; Elumalai P.V., Department of Mechanical Engineering, Aditya Engineering College, Andhra Pradesh, India; Balasubramanian D., Department of Mechanical Engineering, Mepco Schlenk Engineering College, Tamilnadu, India; Padmanabhan S., Department of Automobile Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India; Murugunachippan N., Department of Automobile Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India; Afzal A., Department of Mechanical Engineering, P. A. College of Engineering (Affiliated to Visvesvaraya Technological University, Belagavi), Mangaluru, India, University Centre for Research & Development, Department of Mechanical Engineering, Chandigarh University, Gharuan, Mohali; Sharma P., Mechanical Engineering Department, Delhi Skill and Entrepreneurship University, Delhi, 110089, India; Kiran K., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, India; Femilda Josephin J.S., Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey; Varuvel E.G., Department of Mechanical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey, Department of Automobile Engineering, SRM Institute of Science and Technology, Tamil Nadu, Kattankulathur, India; Tuan Le T., Institute of Engineering, HUTECH University, Ho Chi Minh city, Viet Nam; Truong T.H., PATET Research Group, Ho Chi Minh City University of Transport, Ho Chi Minh City, Viet Nam
Theory and practice of a bivariate trigonometric Burr XII distribution
Applications; Bivariate continuous distribution; Copula; Inference; Modelling; Trigonometric function
The precise modeling of bivariate continuous characteristics remains an actual challenge in probability and statistics. In this paper, we explore a new strategy based on the combination of a simple polynomial-sine copula and the Burr XII distribution. The idea is to use the oscillating functionalities of the polynomial-sine copula and the flexibility of the Burr XII distribution to propose a serious bivariate solution for the modelling of bivariate lifetime phenomena. Both theory and practice are developed. In particular, we determine the main functions related to the distribution, like the cumulative distribution function, probability density function, conditional density function, and hazard rate function, and perform a moment analysis, including various useful measures for bivariate modeling. On the practical plan, we derive the maximum likelihood and Bayes estimates for the unknown parameters. Also, the bootstrap confidence interval and the highest posterior density interval are obtained. The performance of the proposed bivariate distributions is examined using a simulation study. Finally, one data set is considered to illustrate its flexibility for real-life applications. 2023, African Mathematical Union and Springer-Verlag GmbH Deutschland, ein Teil von Springer Nature.
Tyagi S.; Agiwal V.; Kumar S.; Chesneau C.
Springer Science and Business Media Deutschland GmbH
Tyagi S., Department of Statistics and Data Science, Christ Deemed to be University, Karnataka, Bangalore, India; Agiwal V., Indian Institute of Public Health, Telangana, Hyderabad, India; Kumar S., Department of Statistics, University of Delhi, Delhi, 110007, India; Chesneau C., LMNO, Universitde Caen Normandie, Campus II, Science 3, Caen, 14032, France
Toxicity analysis of endocrine disrupting pesticides on non-target organisms: A critical analysis on toxicity mechanisms
Biochemical mechanisms; Endocrine disruptors; Genotoxicity; Neurotoxicity; Non-target toxicity
Endocrine disrupting compounds are the chemicals which mimics the natural endocrine hormones and bind to the receptors made for the hormones. Upon binding they activate the cascade of reaction which leads to permanent activating of the signalling cycle and ultimately leads to uncontrolled growth. Pesticides are one of the endocrine disrupting chemicals which cause cancer, congenital birth defects, and reproductive defects in non-target organisms. Non-target organisms are keen on exposing to these pesticides. Although several studies have reported about the pesticide toxicity. But a critical analysis of pesticide toxicity and its role as endocrine disruptor is lacking. Therefore, the presented review literature is an endeavour to understand the role of the pesticides as endocrine disruptors. In addition, it discusses about the endocrine disruption, neurological disruption, genotoxicity, and ROS induced pesticide toxicity. Moreover, biochemical mechanisms of pesticide toxicity on non-target organisms have been presented. An insight on the chlorpyrifos toxicity on non-target organisms along with species names have been presented. 2023 Elsevier Inc.
Kumar V.; Sharma N.; Sharma P.; Pasrija R.; Kaur K.; Umesh M.; Thazeem B.
Toxicology and Applied Pharmacology, Vol-474
https://doi.org/10.1016/j.taap.2023.116623 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165085943&doi=10.1016%2fj.taap.2023.116623&partnerID=40&md5=d4d16d8fa2daf6cc0567f3e74ca0adc7
Kumar V., Bioconversion and Tissue Engineering Laboratory, Department of Community Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Sharma N., Metagenomics and Bioprocess Design Laboratory, School of Biotechnology, Jawaharlal Nehru University, New Delhi, India; Sharma P., Department of Biochemistry, Maharshi Dayanand University, Haryana, Rohtak, 124001, India; Pasrija R., Department of Biochemistry, Maharshi Dayanand University, Haryana, Rohtak, 124001, India; Kaur K., Punjab Agricultural University, Institute of Agriculture, Gurdaspur, 143521, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Thazeem B., Waste Management Division, Integrated Rural Technology Centre (IRTC), Kerala, Palakkad, 678592, India
Design and structural characteristics of conducting polymer-metal organic framework composites for energy storage devices
Composite; Conducting polymer; Energy storage device; Metal-organic framework; Supercapacitor
The popularity of portable gadgets has increased the supply for energy storage systems with significant power and energy densities Redox-active conducting polymers (CPs) have mechanical qualities similar to polymers and electrical conductivity properties similar to metals. Unfortunately, the volume changes that occur throughout the charge and discharge procedures cause them to function poorly. An efficient method to attain high performance is to combine CPs with metal-organic frameworks (MOF) to create composites. Despite MOFs' extraordinary interior surface areas and adaptable pore structures, they have poor stability, polymers can improve MOF stability and improve other crucial characteristics like electrical conductivity. The combination of these two different components can result in a variety of desired features that are not always attained by these components individually. The recent research on conducting polymer-based metal-organic framework (CP/MOF) composites for energy storage applications is thoroughly surveyed in this review paper. This review focuses on various CP/MOF-based fuel cells, batteries and supercapacitors, pertinent fabrication techniques, and important design principles. 2023 Elsevier B.V.
https://doi.org/10.1016/j.synthmet.2023.117421 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165544379&doi=10.1016%2fj.synthmet.2023.117421&partnerID=40&md5=6c4ef487304a95106997de845b3a54ee
Jose S., Department of Chemistry, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Sariga, Department of Chemistry, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to Be University), Bengaluru, 560029, India
Energy harvesting using two-dimensional magnesiochromite (MgCr2O4)
Device; DFT; Flexoelectricity; MgCr2O4; Two-dimensional material
Two-dimensional (2D) materials with high surface activity can be utilized for harvesting energy from small mechanical sources using flexoelectricity. In the present work, we have synthesized an atomically thin 2D spinel MgCr2O4 by a liquid-phase exfoliation process, and characterization shows the preferential exfoliation along the (111) plane with low formation energy. The fabricated flexoelectric device produces an electrical response up to ?3 V (peak-to-peak voltage) upon pressing and releasing the cell with ?0.98 N force. Furthermore, the energy harvesting properties of 2D MgCr2O4 are explored by combining bending with other sources of external energy, with applied varying magnetic flux (Vmax = ?2.6 V) and temperature with 0.9 N force (Vmax = ?18 V). Our calculations determine that 2D MgCr2O4 has a flexoelectric coefficient of approximately ?XZXZ = 0.005 nC/m. Overall, the results indicate that 2D MgCr2O4 is a very promising material for the next generation of self-powered wearable electronics and energy harvesting. 2023 Elsevier Ltd
Mahapatra P.L.; Singh A.K.; Tromer R.; Kumbhakar P.; Sinha S.K.; Lahiri B.; Kundu T.K.; Galvao D.S.; Tiwary C.S.
https://doi.org/10.1016/j.mtnano.2023.100374 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165357418&doi=10.1016%2fj.mtnano.2023.100374&partnerID=40&md5=15fa984054593ab753085885c0c54ffa
Mahapatra P.L., School of Nano Science and Technology, Indian Institute of Technology, West Bengal, Kharagpur, 721302, India; Singh A.K., Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur, 721302, India; Tromer R., Applied Physics Department and Center for Computing in Engineering and Sciences, University of Campinas, Campinas, S Paulo, Brazil; Kumbhakar P., Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur, 721302, India, Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Sinha S.K., Department of Materials Engineering, Indian Institute of Science, Bangalore, 560012, India; Lahiri B., Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, 721302, India; Kundu T.K., Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur, 721302, India; Galvao D.S., Applied Physics Department and Center for Computing in Engineering and Sciences, University of Campinas, Campinas, S Paulo, Brazil; Tiwary C.S., Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur, 721302, India