Impact of boundary conditions on Rayleigh-Bard convection: stability, heat transfer and chaos
subject: Chaos; Hopf-bifurcation; Lorenz-model; Rayleigh-Bard; RungeKutta
description: The paper compares the results of Rayleigh-Bard convection problem for rigid-rigid-isothermal, rigid-free-isothermal and free-free isothermal boundaries. A minimal Fourier-Galerkin expansion yields the generalized-Lorenz-model whose scaled version is reduced to the Stuart-Landau-model using the multiscale-method. Nusselt number is estimated for both steady and unsteady regimes. Regular, chaotic, and periodic natures of the solution are studied using the Hopf-Rayleigh-number and by means of a bifurcation diagram. The linear and weakly-nonlinear-analyses reveal that the onset of regular and chaotic motions in the case of rigid-free-isothermal boundaries happens later than that of free-free isothermal boundaries but earlier than rigid-rigid-isothermal boundaries. It is shown that the scaled-Lorenz-model possesses all the features of the classical-Lorenz-model. Beyond the value of the Hopf-Rayleigh-number, we observe chaotic-motion between two consecutive spells of periodic motion. It is found that one can also have a window of periodicity for all three boundaries. 2024 Informa UK Limited, trading as Taylor & Francis Group.
creator: Arshika N.S.; Siddheshwar P.G.; Tarannum S.; Kanchana C.
source: International Journal of Ambient Energy, Vol-45, No. 1
publisher: Taylor and Francis Ltd.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 1430750; CODEN: IJAED
format: Online
language: English
type: Article
coverage: Arshika N.S., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Siddheshwar P.G., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Tarannum S., Department of Professional Studies, CHRIST (Deemed to be University), Bengaluru, India; Kanchana C., Instituto de Alta Investigaci, CEDENNA, Universidad de Tarapac Arica, Chile

Efficacy of Psychosocial Care Training Programme for the Staff Working in Old Age Homes
subject: ageing; geriatric mental health; Old age homes; psychosocial care training
description: Background: Training the old-age home staff is essential in raising geriatric mental health care standards in India. Inadequate knowledge on ageing and psychosocial interventions is a significant issue in old-age homes. Old-age home staff must know how to provide individualized psychosocial care and support for older adults. Hence this study aimed to test the feasibility of the psychosocial care training program for the staff working in old-age homes. Methods: A quasi-experimental research design (pre-post without a control group) was used. Forty-two staff members participated. Mary Starke Harper Aging Knowledge Exam (MSHAKE) and structured checklist to measure the staffs knowledge on ageing, psychosocial interventions, welfare legislations, schemes, and support services were administered before, immediately after, and two months after the program and the self-efficacy checklist was administered immediately and two months after the program, to examine the efficacy of the program. Results: Significant improvement was found in the ageing knowledge and the knowledge of psychosocial intervention and psychosocial care. These improvements continued for two months (p <.001). Similarly, their self-efficacy in managing such problems was also sustained across two post-measurements (p =.045). Conclusions: Face-to-face training programs would enhance the knowledge of the old age home staff. This Psychosocial Care Training module can be used for training old age home staff to address various psychosocial needs, concerns and other psychosocial problems of the residents. 2023 The Author(s).
creator: Shivarudraiah M.; Ammapattian T.; Antony S.; VS B.; Sivakumar P.T.
source: Indian Journal of Psychological Medicine, Vol-46, No. 1, pp. 55-59.
publisher: SAGE Publications Ltd
date: 2024-01-01
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 2537176
format: Online
language: English
type: Article
coverage: Shivarudraiah M., Dept. of Psychology, Christ University, Karnataka, Yeshwanthpur, Bengaluru, India; Ammapattian T., Dept. of Psychiatric Social Work, National Institute of Mental Health and Neurosciences, Karnataka, Bengaluru, India; Antony S., Dept. of Psychiatric Social Work, National Institute of Mental Health and Neurosciences, Karnataka, Bengaluru, India; VS B., Dept. of Biostatistics, NIMHANS, Karnataka, Bengaluru, India; Sivakumar P.T., Dept. of Psychiatry, National Institute of Mental Health and Neurosciences, Karnataka, Bengaluru, India

Classification and characterization using HCT/HFOSC spectra of carbon stars selected from the HES survey
subject: Stars: atmospheric parameters; Stars: carbon; Stars: late-type; Stars: low-mass; Stars: metallicity; Stars: population II
description: We present results from the analysis of 88 carbon stars selected from Hamburg/ESO (HES) survey using low-resolution spectra (R ?1330 & 2190). The spectra were obtained with the Himalayan Faint Object Spectrograph Camera (HFOSC) attached to the 2-m Himalayan Chandra Telescope (HCT). Using well-defined spectral criteria based on the strength of carbon molecular bands, the stars are classified into different groups. In our sample, we have identified 53 CH stars, four C-R stars, and two C-N type stars. Twenty-nine stars could not be classified due to the absence of prominent C2 molecular bands in their spectra. We could derive the atmospheric parameters for 36 stars. The surface temperature was determined using photometric calibrations and synthesis of the H-alpha line profile. The surface gravity log g estimates are obtained using parallax estimates from the Gaia DR3 database whenever possible. Microturbulent velocity (?) was derived using calibration equation of log g & ? . We could determine metallicity for 48 objects from near-infrared Ca II triplet features using calibration equations. The derived metallicity ranges from ?0.43 ? [Fe/H] ? ?3.49. Nineteen objects were found to be metal-poor ([Fe/H] ? ?1), 14 very metal-poor ([Fe/H] ? ?2), and five extremely metal-poor ([Fe/H] ? ?3.0) stars. Eleven objects were found to have a metallicity in the range ?0.43 ? [Fe/H] ? ?0.97. We could derive the carbon abundance for 25 objects using the spectrum synthesis calculation of the C2 band around 5165 The most metal-poor objects found will make important targets for follow-up detailed chemical composition studies based on high-resolution spectroscopy, and are likely to provide insight into the Galactic chemical evolution. 2024, The Author(s), under exclusive licence to Springer Nature B.V.
creator: Purandardas M.; Goswami A.
source: Astrophysics and Space Science, Vol-369, No. 1
publisher: Springer Science and Business Media B.V.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 0004640X
format: Online
language: English
type: Article
coverage: Purandardas M., Indian Institute of Astrophysics, Koramangala, Karnataka, Bangalore, 560034, India, Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Goswami A., Indian Institute of Astrophysics, Koramangala, Karnataka, Bangalore, 560034, India

Impact of meme marketing on consumer purchase intention: Examining the mediating role of consumer engagement
subject: consumer engagement; marketing; memes; purchase intention; social media
description: This paper analyzes an emerging form of social media marketing, meme marketing, which has gained attention for its ability to entertain and engage users. Marketers and companies are recognizing the value of using memes as a tool to connect with consumers. To understand the effects of meme marketing activities, this paper aims to examine the impact of meme marketing activities on consumer purchase intentions and concurrently assess the mediating role of consumer engagement. The study encompassed 452 Indian social media users with active social media accounts and familiarity with memes and meme marketing concepts. It employed a quantitative methodology backed by robust statistical techniques. The method used for analysis was Structural Equation Modeling (SEM) through Analysis of Moment Structures (AMOS) software. The results found that meme marketing activities have a direct and significant positive impact (? = 0.257, p < 0.05) on consumer purchase intentions. It further shows that meme marketing has a direct and significant positive impact (? = 0.745, p < 0.05) on consumer engagement. It shows that consumer engagement has a direct and significant positive effect (? = 0.651, p < 0.05) on consumer purchase intention. However, the indirect impact of meme marketing activities on consumer purchase intentions is also significant, resulting in partial mediation. The study findings hold value for marketing managers, agencies, and companies that interact and engage consumers with memes and undertake meme marketing activities. Navrang Rathi, Pooja Jain, 2023.
creator: Rathi N.; Jain P.
source: Innovative Marketing, Vol-20, No. 1
publisher: LLC CPC Business Perspectives
date: 2024-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 18142427
format: Online
language: English
type: Article
coverage: Rathi N., Department of Commerce, Christ (Deemed to be University, India; Jain P., Department of Commerce, Christ (Deemed to be University, India

Framework for Sustainable Energy Management using Smart Grid Panels Integrated with Machine Learning and IOT based Approach.
subject: Energy Management Model (EMM); Internet of Things (IOT); Machine Learning (ML); Smart Grid; Smart Grid
description: Maintaining a consistent supply of power is essential for the well-being of the economy, the public, and one's own health. The generation of energy, as well as its distribution, monitoring, and management, are all undergoing fundamental changes as a result of the implementation of a smart grid (SG), which is authorised to include communication technology and sensors into power systems. There are a lot of problems that need to be fixed before the interoperability of the smart grid can be determined. The integration of renewable energy sources and smart grid technology market size and energy management is a sustainable solution to the problem of energy demand management. The importance work quickly toward the development of an efficient Energy Management Model (EMM) that integrates smart grids and renewable energy sources. When it comes to the modelling of complex and non-linear data, machine learning (ML), Internet of Things (IoT) approaches often perform better than statistical models. So, utilizing a machine learning approach for the EMM is a good option since it simplifies the EMM by generating a single trained model to anticipate its performance characteristics across all conditions. This may be accomplished via the use of an EMM created using an ML method. It was recommended that a certain flexibility sample be used as a control mechanism for incursion into the smart grid. The outcomes of the experiment indicate that the demand-side management (DSM) device is more resistant to infiltration and is enough to lower the energy usage of the smart grid. 2024, Ismail Saritas. All rights reserved.
creator: Bani Ahmad A.Y.A.; William P.; Uike D.; Murgai A.; Bajaj K.K.; Deepak A.; Shrivastava A.
source: International Journal of Intelligent Systems and Applications in Engineering, Vol-12, No. 2s, pp. 581-590.
publisher: Ismail Saritas
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 21476799
format: Online
language: English
type: Article
coverage: Bani Ahmad A.Y.A., Department of Accounting and Finance Science, Faculty of Business, Middle East University, 8788, Amman, 11831, Jordan; William P., Research and Development, Department of Information Technology, Sanjivani College of Engineering, Savitribai Phule Pune University, Pune, India; Uike D., Department of MBA, Dr. Ambedkar Institute of Management Studies and Research, Maharashtra, Nagpur, India; Murgai A., School of Business and Management, Christ University, Lavasa, Pune, India; Bajaj K.K., RNB, Global University, Rajasthan, Bikaner, India; Deepak A., Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Tamilnadu, Chennai, India; Shrivastava A., Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Tamilnadu, Chennai, India

An Application of the Caputo Fractional Domain in the Analysis of a COVID-19 Mathematical Model
subject: ABM method; Caputo fractional derivative; COVID-19; susceptible-exposed-infectious-recovered (SEIR) model; vaccination
description: Vaccination programs aimed at preventing the spread of the coronavirus appear to have a significant global impact. In this research, we have investigated a mathematical model projecting COVID-19 disease spread by considering five groups of individuals viz. vulnerable, exposed, infected, unreported, recovered, and vaccinated. Looking at the current abnormal pattern of the virus spread in the projected model, we have implemented the fractional derivative in the Mittag-Leffler context. Using the existing theory of the fractional derivative, we have examined the theoretical aspects such as the existence and uniqueness of the solutions, the existence and stability of the disease-free and endemic equilibrium points, and the global stability of the disease-free equilibrium point. In computing the basic reproduction number, we have analyzed that the existence and stability of points of equilibrium are dependent on this number. The sensitivity of the basic reproduction number is also examined. The importance of the vaccination drive is highlighted by relating it to the basic reproduction number. Finally, we have presented the simulation of the numerical results by capturing the profile of each group under the influence of the fractional derivative and investigated the impact of vaccination rate and contact rate in controlling the disease by applying the Adams-Bashforth-Moultan (ABM) method. The present research study demonstrates the importance of the vaccination campaign and the curb on individual contact by featuring a novel fractional operator in the projected model and capturing the corresponding consequence. 2024 P. Veeresha, et al.
creator: Baishya C.; Achar S.J.; Veeresha P.
source: Contemporary Mathematics (Singapore), Vol-5, No. 1, pp. 255-283.
publisher: Universal Wiser Publisher
date: 2024-01-01
rights: All Open Access; Hybrid Gold Open Access
relation: ISSN: 27051064
format: Online
language: English
type: Article
coverage: Baishya C., Department of Studies and Research in Mathematics, Tumkur University, Tumkur, 572103, India; Achar S.J., Department of Mathematics and Statistics, M. S. Ramaiah University of Applied Sciences, Karnataka, Bangalore, 560058, India; Veeresha P., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India

Study of chaos in the Darcy-Bard convection problem with Robin boundary condition on the upper surface
description: Possibility of chaos is studied in Darcy-Bard convection using the Dirichlet and the Robin boundary condition at the lower and upper boundaries, respectively. Comparison is made with the results of Dirichlet (classical-Darcy-Bard convection, CDBC) and Neumann boundary condition (Barletta-Darcy-Bard convection, BDBC). It is found that the cell size at onset is bigger in the case of BDBC compared to the generalized-Darcy-Bard convection (GDBC) and much bigger compared to CDBC. The critical-Darcy-Rayleigh number of BDBC is found to be the least and that of CDBC is the largest. Nonlinear-stability-analysis is performed leading to the scaled-generalized-Vadasz-Lorenz model (SGVLM). In deriving this model, help is sought from a local-nonlinear-stability-analysis that yields the form of the convective-mode. The SGVLM is shown to be dissipative and conservative, with its bounded solution trapped within an ellipsoid. Onset of chaos and its characteristics are studied using the Hopf-Rayleigh-number, the Lorenz-butterfly-diagram, and the plot of the amplitude of the convective-mode vs the control-parameter, R, which is the eigenvalue. Chaos sets in earlier in CDBC and much later in BDBC when compared to that in GDBC. Beyond the onset of chaos is seen a sequence of chaotic and periodic motions, with the latter sometimes being present for an extended period. 2024 Author(s).
creator: Siddheshwar P.G.; Soibam D.D.; Laroze D.
source: Physics of Fluids, Vol-36, No. 1
publisher: American Institute of Physics Inc.
date: 2024-01-01
rights: All Open Access; Bronze Open Access
relation: ISSN: 10706631; CODEN: PHFLE
format: Online
language: English
type: Article
coverage: Siddheshwar P.G., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Soibam D.D., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Laroze D., Instituto de Alta Investigaci, Universidad de Tarapac Casilla 7 D, Arica, Chile

Does environmental policy stringency improve nature's health in BRICS economies? Implications for sustainable development
subject: BRICS; Carbon emissions; Environmental stringent policy; Foreign direct investment; Trade openness
description: In our groundbreaking exploration, we meticulously delve into the relationship between environmental policy stringency, international trade dynamics, and financial openness within the BRICS group (Brazil, Russia, India, China, and South Africa) spanning from 1996 to 2021. With a focus on critical variables such as economic growth and technological innovation, our empirical findings challenge conventional wisdom. Surprisingly, we found that those stringent environmental policies, when standing alone, do not invariably lead to reduce CO2 emissions. Equally interesting is our startling discovery that the anticipated moderating influence of environmental policy stringency, catalyzed by trade and foreign direct investment, on the well-being of our environment does not materialize; contrarily, both trade and foreign direct investment moderating channels exhibit unanticipated positive correlations with CO2 emissions. These revelations provoke us with the presence of a "pollution haven" phenomenon within the BRICS economies. Furthermore, our investigation reveals that, when examined individually, trade and foreign direct investment also appear to contribute to elevated emission levels. These findings provide a resolute solution to our research quandary, underlining the indispensable requirement for cutting-edge and robust environmental policies. These policies must possess the prowess to effectively counteract the adverse environmental consequences stemming from the amalgamation of global trade and financial integration. In doing so, they shall propel BRICS nations toward a future firmly grounded in principles of sustainability and ecological integrity. 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
creator: Mahalik M.K.; Pal S.; Le T.-H.; Mishra S.
source: Environmental science and pollution research international, Vol-31, No. 1, pp. 509-528.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 16147499; PubMed ID: 38015395
format: Online
language: English
type: Article
coverage: Mahalik M.K., Department of Humanities and Social Sciences, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India; Pal S., Department of Humanities and Social Sciences, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India, School of Business and Management, Christ University (Deemed to be University), Bengaluru, 560029, India; Le T.-H., VinFuture Foundation, Hanoi, Viet Nam, IPAG Business School, Paris, France; Mishra S., School of Rural Management, XIM University, Bhubaneswar, India

Generalized viscoelastic flow with thermal radiations and chemical reactions
subject: Finite element method; Fluid mechanics PDEs; Fractional derivatives; Non-Newtonian fluid
description: Background: A generalized model of mathematical nature is considered to address the viscoelastic flow problem using fractional derivatives. Control/freedom of the flow mechanism is achieved with these derivatives. In simulations of industrial interest, more variations are available with fractional derivatives when compared with ordinary derivatives. Relaxation times are incorporated to handle the abrupt changes in the flow domain. Fluid flow is carried out under the influence of thermal radiations and when a heat source or sink is present. Chemical reactions of the first order are observed in the mathematical modeling of the flow. Methods: Flow is induced with the movement of the lower surface while applying force on the x-plane. Simulations of the governing mathematical problem are computed with the combination of finite element and finite difference algorithms. Significant Findings: It is noted that velocity, temperature, and concentration change with the variation of fractional order derivatives which was not possible with the classical derivatives. Moreover, with greater relaxation times, velocity, temperature, and concentration remained at a lower level. The modeled mechanism can be considered to avoid costly trials in chemical and polymer casting industries. 2023 Elsevier B.V.
creator: Shoaib Anwar M.; Alam M.M.; Khan M.A.; Abouzied A.S.; Hussain Z.; Puneeth V.
source: Geoenergy Science and Engineering, Vol-232
publisher: Elsevier B.V.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 29498910
format: Online
language: English
type: Article
coverage: Shoaib Anwar M., Department of Mathematics, University of Jhang, Jhang, 35200, Pakistan; Alam M.M., Department of Basic Medical Sciences, College of Applied Medical Science, King Khalid University, Abha, 61421, Saudi Arabia; Khan M.A., Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University, P.O. Box-65892, Riyadh, 11566, Saudi Arabia; Abouzied A.S., Department of Pharmaceutical Chemistry, College of Pharmacy, University of Hail, Hail, 81442, Saudi Arabia, Department of Pharmaceutical Chemistry, National Organization for Drug Control and Research (NODCAR), Giza, 12553, Egypt; Hussain Z., Department of Mathematics, University of Baltistan, Skardu, Pakistan; Puneeth V., Department of Computational Science, CHRIST (Deemed to be University), Ghaziabad, 201003, India

An ethnographic expose of Mithun-human interrelationship among the Kuki community of Northeast India
subject: bride price; culture; Kuki; mithun; Mithun-human interrelationship
description: Unrestrained consumption and a lack of a proper breeding ecosystem have depleted the variety and species count of mithun (Bos frontalis). Indigenous Kuki tribes have a unique relationship with mithun, reared in the semi-domestic countryside. For the Kuki community, a mithun is used during community festivals, as a bride price in marriages, to settle disputes, in land-deed covenants, and at death ceremonies. Mithun-human interrelationship lessens poverty, empowers community survival, guarantees the completion of critical cultural obligations, and maintains marital bonds in the Kuki community. The head of a mithun signifies solemnity and celebration in many cultural underpinnings. A white cock, a dog, a goat, a pig, and a mithun were sacrificial elements to appease the unseen spirits for good health and prosperity. While some Indigenous practices have faded with the arrival of Christianity, the cultural involvement of mithun persists to this date. 2023 Informa UK Limited, trading as Taylor & Francis Group.
creator: Haokip P.L.; Maya M.; Haokip D.B.
source: Asian Ethnicity, Vol-25, No. 3, pp. 403-416.
publisher: Routledge
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 14631369
format: Online
language: English
type: Article
coverage: Haokip P.L., Department of Sociology & Social Work, Christ University, Karnataka, Bangalore, India; Maya M., Department of Sociology & Social Work, Christ University, Karnataka, Bangalore, India; Haokip D.B., University of Amsterdam, Netherlands

Effects of global warming, time delay and chaos control on the dynamics of a chaotic atmospheric propagation model within the frame of Caputo fractional operator
subject: Bifurcation; Caputo fractional derivative; Chaos control; Lyapunov exponent; Modified Lorenz-84 climate model; Time-delay
description: The Lorenz-84 climate model is a simplified mathematical model that describes the chaotic behavior of atmospheric convection and its impact on global climate patterns. It captures the presence of chaotic behavior in the motion of westerly wind and helps understand the concept of sensitivity to initial conditions. But as observed over the years, the westerlies are gaining more strength due to the rise in atmospheric temperature. In this work, we have modified the old model to observe the changes in the behavior of the system due to global warming and time delay. The modified model has been generalized using Caputo fractional derivative to provide a more accurate representation of the system with memory effect and non-local behavior. The stability of the new model has been tested at all the equilibrium points. Using Picard's operator and Banach's Fixed Point theorem, it has been shown that there exists a unique and bounded solution for the new model. It has been observed that the sole effect of global warming makes the system gradually unstable from chaotic as the fractional order ? is decreased from 0.80 to 0.50. Also, a shift in the bifurcation point has been noticed for the new model. All three Lyapunov exponents have been calculated for different fractional orders to confirm the presence of chaos in the modified model as well. A chaos control law has been constructed for the modified chaotic model using the sliding mode control theory. Interestingly, the chaos disappears completely when the effect of time-delay is considered in the modified model. Since our proposed time-delayed modified model shows an asymptotically stable nature for all fractional orders ? less than 0.85, it is better suited to make more accurate predictions about the strength of the westerlies. 2023 Elsevier B.V.
creator: Chakraborty A.; Veeresha P.
source: Communications in Nonlinear Science and Numerical Simulation, Vol-128
publisher: Elsevier B.V.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 10075704
format: Online
language: English
type: Article
coverage: Chakraborty A., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Veeresha P., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India

Efficacy of in-person versus digital mental health interventions for postpartum depression: meta-analysis of randomized controlled trials
subject: digital interventions; in-person interventions; meta-analysis; perinatal depression; Postpartum depression; randomized controlled trials
description: Aim: This meta-analysis aimed to compare the efficacy of in-person and digital mental health interventions in addressing Postpartum Depression. Methods: Following PRISMA guidelines, the protocol for this meta-analysis was registered at the Open Science Framework (Retrieved from osf.io/wy3s4). This meta analysis included Randomized Controlled Trials (RCTs) conducted between 2013 and 2023. A comprehensive literature search identified 35 eligible RCTs from various electronic databases. Inclusion criteria focused on pregnant women over 18 years old, encompassing antenatal depression and up to two years postpartum. Diagnostic interviews or Edinburgh Postnatal Depression Scale (EPDS) were used to establish PPD. Digital interventions included telephonic, app-based, or internet-based approaches, while in-person interventions involved face-to-face sessions. Results: The meta-analysis revealed a moderate overall effect size of ?0.69, indicating that psychological interventions are effective for PPD. Digital interventions (g = ?0.86) exhibited a higher mean effect size than in-person interventions (g = ?0.55). Both types of interventions displayed substantial heterogeneity (digital: I2 = 99%, in-person: I2 = 92%), suggesting variability in intervention content, delivery methods, and participant characteristics. Conclusion: Digital mental health interventions show promise in addressing PPD symptoms, with a potentially greater effect size compared to in-person interventions. However, the high heterogeneity observed in both modalities underscores the need for further research to identify key drivers of success and tailor interventions to diverse populations. Additionally, the choice between digital and in-person interventions should consider individual needs and preferences. Ongoing research should further investigate and optimise intervention modalities to better serve pregnant women at risk of PPD. 2024 Society for Reproductive & Infant Psychology.
creator: Ansaari N.; Rajan S.K.; Kuruveettissery S.
source: Journal of Reproductive and Infant Psychology
publisher: Routledge
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 2646838; CODEN: JPIPE
format: Online
language: English
type: Article
coverage: Ansaari N., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India; Rajan S.K., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India; Kuruveettissery S., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India

Hybrid homomorphic-asymmetric lightweight cryptosystem for securing smart devices: A review
description: The Internet of Things (IoT) has emerged as a new concept in information and communication technology, and its structure depends on smart device communications. It was evolving as a significant factor of the Internet and made the interconnection of huge devices likely, accumulating huge amounts of information through innovative technologies. Thus, the requirement for IoT security is more significant. Scalable services and applications are susceptible to information leakage and attacks, demanding higher privacy and security. Cryptography is a technique to secure data integrity, confidentiality, authentication, and network access control. Owing to several limitations of IoT devices, the classical cryptographic protocols are not appropriate for all IoT smart devices like smart cities, smart homes and so forth. Consequently, researchers have introduced numerous lightweight cryptographic (LWC) protocols and algorithms for IoT security. Numerous solutions are available in the research field regarding security using cryptographic algorithms in IoT environments; however, such solutions have not attained satisfactory outcomes. So, finding a solution by examining the recent issues is open research. This article investigates the various LWC protocols for IoT devices and provides a reasonable enquiry into existing ubiquitous ciphers. Furthermore, the article appraises various recently presented lightweight (LW) block ciphers and hybrid homomorphic LWC regarding security. In addition, this article assists in comprehending the significance of security features and progression in cryptographic algorithms. Finally, the article reports on the necessary changes and recommends upcoming research focuses. Also, this article assists in realizing the importance of security and progressions in cryptographic algorithms. 2023 John Wiley & Sons, Ltd.
creator: Mathews R.; Jose D.V.
source: Transactions on Emerging Telecommunications Technologies, Vol-35, No. 1
publisher: John Wiley and Sons Inc
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 21613915 | CS; 2023-2024; Vol-1; 00141-00156
format: Online
language: English
type: Article
coverage: Mathews R., Department of Computer Science, Christ University, Karnataka, Bangalore, India, Department of Computer Science and Engineering, St. Mary's College, Kerala, Sulthan Bathery, India; Jose D.V., Department of Computer Science, Christ University, Karnataka, Bangalore, India

An Improvised Mechanism for Optimizing Fault Detection for Big Data Analytics Environment
subject: Big Data; Fault Detection; Optimisation
description: In the applications of fault detection, the inputs are the data reflected from health state of the observed system. A major challenge to finding errors is the nonlinear relationship between the data. Big data has other drawbacks, and the volume and speed with which it is generated are reflected in the data streams themselves. In this paper, we develop a deep learning model that aims to provide fault detection in big data analytics engine. This investigation develops an approach for fault detection in large datasets using unsupervised learning. In this research, an unsupervised method of learning is developed specifically for the task of classifying large datasets. To discover regular textual patterns in large datasets, this research use data visualization methods. In this virtual environment, we employ an unsupervised learning method of machine learning that does not require human oversight. Instead, the system should be allowed some leeway to work and find things on its own. The unsupervised learning approach utilizes data that has not been tagged. In contrast to supervised learning, this approach can handle complex tasks. 2024, Ismail Saritas. All rights reserved.
creator: Paulin M.S.; Subramani K.; Muralidharan P.; Maruthamuthu; Kumar R.S.
source: International Journal of Intelligent Systems and Applications in Engineering, Vol-12, No. 9s, pp. 427-433.
publisher: Ismail Saritas
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 21476799
format: Online
language: English
type: Article
coverage: Paulin M.S., Business and Management, Christ (Deemed to be University), Kengeri campus, Bangalore, India; Subramani K., Business and Management, Christ (Deemed to be University), Kengeri campus, Bangalore, India; Muralidharan P., Business and Management, Christ (Deemed to be University), Kengeri campus, Bangalore, India; Maruthamuthu, Madanapalle Institute of Technology & Science, Angallu, Madanapalle, India; Kumar R.S., Sathak College of Engineering & Technology, Tamilnadu, Ramnad, India

Does integrated store service quality determine omnichannel customer lifetime value? Role of commitment, relationship proneness, and relationship program receptiveness
subject: Customer lifetime value; Integrated store; Relationship marketing; Relationship program receptiveness; Relationship proneness; Service quality; SOR theory
description: Purpose: Building on the relationship marketing and stimulus-organism-response (SOR) theory, the purpose of this paper is to study the impact of the integrated store service quality (ISSQ) on the omnichannel customer lifetime value (CLV). The mediating role of customer commitment (affective, normative and continuance) and relationship program receptiveness with the moderating role of customer relationship proneness were relied upon to better understand the omnichannel customer profitability metric (CLV). Design/methodology/approach: The study is descriptive and relies upon the cross-sectional data collected using the self-administered structured questionnaires from 785 omnichannel shoppers. A purposive sampling technique was performed in the study. Structural equation modeling was performed using the SMART-PLS 4.0 software to analyze the data. Findings: The results indicate that omnichannel customer commitment (affective, normative and continuance) differentially mediates the relationship between ISSQ and relationship program receptiveness, subsequently impacting the omnichannel CLV. The customer relationship proneness significantly and positively moderated the relationships between different dimensions of customer commitment and relationship program receptiveness. Research limitations/implications: The study relied upon the cross-sectional data from the Indian population aged above 18years for testing the proposed model. Further studies could test the model across different populations to generalize the study results. Originality/value: This study addresses the need to investigate the omnichannel retail store customer profitability and their relationship performance with the store. By testing the customer relationship management model in the omnichannel retail store context, this study is the first to show that ISSQ will impact the customer profitability and relationship performance metric (CLV) through omnichannel customer commitment and relationship program recep…
creator: Natarajan T.; Veera Raghavan D.R.
source: TQM Journal
publisher: Emerald Publishing
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 17542731
format: Online
language: English
type: Article
coverage: Natarajan T., National Institute of Technology Tiruchirappalli, Tiruchirappalli, India; Veera Raghavan D.R., Department of Management Studies, National Institute of Technology Tiruchirappalli, Tiruchirappalli, India, School of Business and Management, Christ University, Bangalore, India

Assessment of bioactivity of the novel exopolysaccharide secreted by Bacillus subtilis isolated from the gut of marine anchovies
subject: Bacterial Polysaccharide; Characterization; Exopolysaccharide; Microscopy; Probiotic; Secretory substances
description: The current work focuses on the isolation, characterization, and purification of an exopolysaccharide secreted by a novel bacterium isolated from dried anchovies. The bacterium was identified as Bacillus subtilis using 16S sequencing. B. subtilis in MRS medium produced exopolysaccharide (EPS), which gave a maximum yield of 1928 mg/L. The total molecular weight of the polysaccharide present was around 20 kDa. Fourier-transform infrared spectroscopy of the EPS displays the existence of methylene, carboxyl, and hydroxyl groups. Atomic force microscopy indicates a highly cross-linked structure with lumps. Scanning electron microscopy studies showed a coarse surface. The EPS also showed emulsification potential. This study shows that the EPS is a prospective candidate for further studies on their applications. 2024 Thejaswi Bhandary and Paari Kuppusamy Alagesan.
creator: Bhandary T.; Alagesan P.K.
source: Journal of Applied Biology and Biotechnology, Vol-12, No. 1, pp. 205-212.
publisher: Open Science Publishers LLP Inc.
date: 2024-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 2347212X
format: Online
language: English
type: Article
coverage: Bhandary T., Department of Life Sciences, Christ (Deemed to be University), Karnataka, Bengaluru, India; Alagesan P.K., Department of Life Sciences, Christ (Deemed to be University), Karnataka, Bengaluru, India

Biosynthesis of zinc oxide nanoparticles mediated by Strobilanthes hamiltoniana: Characterizations, and its biological applications
subject: Anti-cancer; Anti-Microbial; Dye degradation; Strobilanthes hamiltoniana; Zinc oxide
description: Nanoparticles of Zinc oxide (ZnONPs), has a variety of applications such as antibacterial property, water treatment for pollutant removal, and as catalysts for organic reactions etc. and have been synthesized utilizing a variety of approaches, including green synthesis, chemical precipitation, solgel, hydrothermal synthesis, and microwave-assisted synthesis. In the present work, easy and economically viable ZnONPs were synthesized utilizing Strobilanthes hamiltoniana (SH) leaf extracts. Phytochemicals form S. hamiltoniana act as agents for reducing and capping the metal oxide ions. A range of analytical and microscopic techniques have been used to investigate the physical and chemical properties of ZnONPs. At 360 ?nm, green synthesized SH-ZnONPs showed robust UVVis absorption. The nanosize, shape, and crystalline structure of SH-ZnO NPs were characterized using XRD and electron microscopy techniques. Using SH-ZnO NPs, the photocatalytic activity of textile dyes such as Reactive blue 220 (RB-220), Reactive blue 222A (RB-222A), Reactive yellow 145 (RY-145) and Reactive yellow 86 (RY-86) dyes showed degradation efficiency of 97.3%, 78.57%, 88.88%, and 83.33% after 320 ?min. ZnONPs exhibited remarkable antibacterial effectiveness against bacterial and fungal pathogens using the Minimum inhibitory concentration approach. Their MIC values were calculated, and free radical scavenging experiments showed antioxidant activity. The SH-ZnONPs were validated using HepG2 (IC50) cancerous cells lines and showed promising anti-cancer activity. These results revealed that SH-ZnO NPs had promising benefits that could be utilized as a viable therapeutic candidate. 2023 The Author(s)
creator: Gangwar J.; Balasubramanian B.; Pratap Singh A.; Meyyazhagan A.; Pappuswamy M.; Alanazi A.M.; Rengasamy K.R.R.; Kadanthottu Sebastian J.
source: Kuwait Journal of Science, Vol-51, No. 1
publisher: Elsevier B.V.
date: 2024-01-01
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 23074108; Ls;2023-2024; Vol-1; 0575-0583; LS; 2023-2024;Vol-1; 1117-1125
format: Online
language: English
type: Article
coverage: Gangwar J., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Gwangjin-gu, Seoul, 05006, South Korea; Pratap Singh A., Department of Materials Engineering, Indian Institute of Science, Karnataka, Bangalore, 560012, India; Meyyazhagan A., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Pappuswamy M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Alanazi A.M., Pharmaceutical Chemistry Department, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia; Rengasamy K.R.R., Centre of Excellence for Pharmaceutical Sciences, North-West University, Potchefstroom, 2520, South Africa; Kadanthottu Sebastian J., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India

Aplicaci obligatoria de las NIIF y relevancia del valor de la informaci contable en la India; [Mandatory IFRS enforcement and value relevance of accounting information in India]
subject: accounting; IFRS; India; ohlson model; value relevance
description: This study investigates the influence of IFRS enforcement on the explanatory power of earnings and book value on the market price in an emerging economy, India over five years that is two years before mandatory IFRS enforcement for 2014-2015 and three years after IFRS enforcement for 2016- 2018. Total 3470 firm-year observations were examined by assembling data from the BSE website and the annual reports of the firms for this purpose. The findings of the study conclude that the financial reporting environment has improved after introducing the IFRS, which was reflected through a strong and significant association between market price and its two dominating variables earnings and book values. However, the findings also suggest that earnings have been stronger and more significant predictors of market price post-IFRS enforcement than book values, which showed a negative association with market price and declined after IFRS enforcement. The study also suffers from diverse constraints similar to previous studies such as limited data sets and years coupled with only two variables and suggests future scope for research in diverse angles where researchers can employ the return model, and add more control variables such as cash flows, leverage, size, growth... 2019 Universidad Nacional Automa de Mico,
creator: Srivastava A.; Kulshrestha P.; Panigrahi T.R.; Rai R.
source: Contaduria y Administracion, Vol-69, No. 4, pp. 302-326.
publisher: Universidad Nacional Autonoma de Mexico
date: 2024-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 1861042
format: Online
language: English
type: Article
coverage: Srivastava A., Christ University, India; Kulshrestha P., Karnavati Universityt, India; Panigrahi T.R., Karnavati Universityt, India; Rai R., Christ University, India

Youth of North East States of India: Issues, Concerns and Need for Mental Health Support as Perceived by NCC Officers
subject: Issues and concerns; mental health; NCC officers; North-East states of India; Youth
description: The youth of North-East India are in disadvantaged situations as compared to youth from the rest of the country in all respects. The objective of this article was to examine the views of the NCC Officers of North-East states about youth welfare in the region as they have first-hand experience in dealing with youth. Participants views were obtained on-line, by using a Semi-structured Questionnaire in the form of Google Form. A group of 142 NCC Officers provided feedback. Data collected were subjected to thematic analysis. Findings disclosed that youth of North-East states experience a range of challenges including poverty, lack of internet facilities, inability to attend NCC camps due to ongoing classes, substance dependence, lack of guidance and support leading to dropout and lack of values. The NCC Officers opined that a good number of North-East youths require mental health support and career guidance, in addition to mental health awareness. 2023 Taylor & Francis Group, LLC.
creator: Deb S.; Paul P.D.; Deb S.; Soni S.
source: Child and Youth Services, Vol-45, No. 1, pp. 95-115.
publisher: Routledge
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 0145935X
format: Online
language: English
type: Article
coverage: Deb S., Rajiv Gandhi National Institute of Youth Development, Tamil Nadu, Sriperumbudur, India; Paul P.D., Rajiv Gandhi National Institute of Youth Development, Tamil Nadu, Sriperumbudur, India, Centre for Training Orientation and Capacity Building, Rajiv Gandhi National Institute of Youth Development, Tamil Nadu, Sriperumbudur, India; Deb S., Department of Psychology, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Soni S., Indian Institute of Technology, Telangana, Hyderabad, India

Social capital in the form of self-help groups in India: a powerful resilient solution to reduce household financial vulnerability
subject: household financial vulnerability; Self-help groups; social capital
description: Due to the COVID-19 pandemic and the economys general situation, many households are now financially vulnerable. It is like a vicious cycle: once a household is caught, it will remain in the trap until and unless it competently manages its finances. These problems experienced by households have drawn attention to social capital. Self-help groups (SHGs) originated in India to pull out low-income households from poverty and are now recognized as social capital, which can be defined as the action of a group cooperating to enhance all its members benefits. This article aims to explain how SHGs have contributed to reducing various factors or determinants of household financial vulnerability through a review of several other publications, theses, newspaper articles, and reports. It was discovered that SHGs now provide much more benefits than just alleviating poverty. They have helped to reduce bad loans or non-performing assets, reduced the dependence on informal sources of finance, made households more resilient toward crises such as COVID-19, and enabled households to save money and manage their finances accurately. Organizing themselves into SHGs is the only way for rural households to overcome financial difficulties. 2023 Taylor & Francis Group, LLC.
creator: Biju D.S.; Tantia V.
source: Social Work with Groups, Vol-47, No. 3, pp. 282-295.
publisher: Routledge
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 1609513
format: Online
language: English
type: Article
coverage: Biju D.S., Department of Commerce, Christ University, Bangalore, India; Tantia V., Department of Commerce, Christ University, Bangalore, India