Effects of supply chain integration on firms performance: a study on micro, small and medium enterprises in India
Customer integration; Internal integration; MSMEs; Organizational performance; Supplier integration; Supply chain integration
The cooperation in the supply chain assumes an adequate job for enhancing an organisation's performance and increasing competitive advantage. Supply Chain Integration (SCI) affects organisational performance. This paper studies the impact of the integration of supply chain procedures and practices on organisational performance and explores the effect of SCI on organisational performance at Micro, Small and Medium Enterprises (MSMEs) in Madurai District, Tamilnadu, India. A questionnaire is developed with validated measurement scales from previous studies and empirical data are collected through a survey questionnaire from 250 randomly selected MSMEs. This research provides sound recommendations to MSMEs in Madurai District, Tamilnadu, India, and maybe used for different industries and decision making policies. Finally, the study will contribute to the scientific field by providing some future studies. 2020 by the authors; licensee Growing Science, Canada.
Uncertain Supply Chain Management, Vol-8, No. 1, pp. 231-240.
https://doi.org/10.5267/j.uscm.2019.7.001 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073558649&doi=10.5267%2fj.uscm.2019.7.001&partnerID=40&md5=e08e248b2f8915b0a426a406f78f712b
Subburaj A., Institute of management, CHRIST (Deemed to be University), Bangalore, India; Sriram V.P., Acharya Bangalore B-School (ABBS), Bengaluru, India; Mehrolia S., Institute of management, CHRIST (Deemed to be University), Bangalore, India
Effects of the Doctrine of Discovery: A Strive to build Sustainable and Peaceful Communities in North East India
colonial influence; indigenous tribes; North East India; peace; self-determination; sustainability; the Doctrine of Discovery
The article analyses the Doctrine of Discovery which advocates racial superiority and colonisation of indigenous lands. Indigenous people of North East India continually strives for sustainable and peaceful situation. A strong relational bond between the ethnic tribes and the environment is fundamental for self-determination, sustainability and peace. Consequently, humans bond with land stirs a readiness to sacrifice their lives for their motherland juxtaposed in the precarious context of international boundaries and past colonial annexations. The colonial-influenced literature has moulded their ethnic identity. This further leads to an upsurge of emic historical and anthropological perspective writings, framing their history, interaction with the environment, the rise of ethnic consciousness and identity politics. There is a continuous struggle to free themselves from the colonial enslavement of the Doctrine of Discovery that has ultimately encroached on their land and culture. The Electrochemical Society
ECS Transactions, Vol-107, No. 1, pp. 10183-10197.
Haokip P.L., Department of Sociology and Social Work, Christ University, Karnataka, Bangalore, India; Maya M., Department of Sociology and Social Work, Christ University, Karnataka, Bangalore, India; Haokip D.B., Department of Social and Behavioural Science, Governance and Inclusive Development, Amsterdam Institute for Social Science Research (AISSR), University of Amsterdam, Netherlands
Effects of variable thermal properties on thermoelastic waves induced by sinusoidal heat source in half space medium
Dual phase lag heat conduction; Sinusoidal heat source; Variable thermal property
Aim of the present study is to characterize the effects of changing thermal conductivity on the propagation of thermoelastic waves in the half space medium when it is exposed to a periodic heat source. Closed form solutions of all significant physical fields such as conductive temperature, stress and displacement are evaluated in their dimensionless form in the Laplace transform domain. Impact of changing thermal conductivity parameter is exhibited on all field variables with the help of quantitative outcomes in time-domain. Following this pattern, the effects of time parameter is also observed on the field quantities. 2022
Materials Today: Proceedings, Vol-62, pp. 5099-5104.
https://doi.org/10.1016/j.matpr.2022.02.442 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128684760&doi=10.1016%2fj.matpr.2022.02.442&partnerID=40&md5=87708ba011df3405e91766309cf06bd7
Tiwari R., Department of Mathematics, Nitishwar College, A Constituent Unit of Babasaheb Bhimrao Ambedkar Bihar University, Bihar, 842002, India; Singhal A., Department of Computational Sciences, Christ (Deemed to be University), Delhi NCR Campus, Ghaziabad, 201003, U.P., India; Kumar A., Department of Mathematics, T.D. PG College, VBS Purvanchal University, U.P., 222002, India
Effects of Variable Viscosity and Internal Heat Generation on RayleighBard Convection in Newtonian Dielectric Liquid
Electric field dependent variable viscosity; Electric Rayleigh number; Internal heat generation; Smart liquids; Temperature dependent variable viscosity
The onset of RayleighBard convection of variable-viscosity Newtonian dielectric liquid confined between two parallel plates is subject to free-free isothermal boundary condition. The combined and individual effects of temperature-dependent and electric-field-dependent variable-viscosity along with the internal heat generation are studied using the higher order Galerkin technique. This theoretical study shows that even a mild temperature-dependent variable-viscosity destabilizes the system and the electric-field-dependent variable-viscosity stabilizes the system both in the absence/presence of heat source/sink. 2021, The Author(s), under exclusive licence to Springer Nature India Private Limited.
International Journal of Applied and Computational Mathematics, Vol-7, No. 3
Shivaraj B., Department of Mathematics, Dayananda Sagar Academy of Technology and Management, Bengaluru, 560082, Karnataka, India; Siddheshwar P.G., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India; Uma D., Department of Computer Science and Engineering, PES University, Bengaluru, 560085, Karnataka, India
Effects of variable viscosity and rotation modulation on ferroconvection
Ferrofluid; Magnetic numbers; Magnetorheological; Modulation; Rotation; Sawtooth; Sinusoidal; Taylor number; Thermorheological; Variable Viscosity; Waveforms
We theoretically explore the dynamics of a ferrofluid with temperature and magnetic field-dependent viscosity, which is in a RayleighBard situation and is subjected to rotation. The problem considers both sinusoidal and non-sinusoidal time-periodic variations of rotation to study the onset and post-onset regimes of RayleighBard ferroconvection. We perform a weakly nonlinear stability analysis using a truncated Fourier series representation and arrive at the third-order Lorenz system for ferrofluid convection with variable viscosity. By using the linearized form of the Lorenz system for ferrofluid convection with variable viscosity, we arrive at the critical Rayleigh number to study the onset of rotating ferroconvection. The heat transport is quantified in terms of the time-averaged Nusselt number and the effects of various parameters on it are studied. The effect of modulated rotation is found to have a stabilizing effect on the onset of ferroconvection while that of variable viscosity has a destabilizing effect. The effects of magnetorheological and thermorheological effects are antagonistic in nature. It is found that the square waveform modulation facilitates maximum heat transport in the system due to advanced onset of ferroconvection. 2021, Akadiai Kiad Budapest, Hungary.
Aanam A N.; Siddheshwar P.G.; Nagouda S.S.; Pranesh S.
Journal of Thermal Analysis and Calorimetry, Vol-147, No. 7, pp. 4667-4682.
Springer Science and Business Media B.V.
Aanam A N., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 29, India; Siddheshwar P.G., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 29, India; Nagouda S.S., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 29, India; Pranesh S., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 29, India
EFFECTS OF VIRTUAL PRIVATE SOCIAL NETWORKING IN ACADEMIC PERFORMANCE OF STUDENTS
CNN; Deep learning; Social network; Students
A virtual private social network (VPSN) is generated automatically amongst peers using a social media app to build ties. One of the most significant repercussions of students' excessive usage of social networking sites is a decline in their academic performance. In a study of medical students, social media and the internet were shown to harm students' academic performance and classroom attentiveness. An increasing number of studies link the use of social media to poorer academic performance, such as fewer students doing their assignments and lower test scores. Students who receive specialised training in deep learning will have the superior cognitive abilities needed to succeed in today's more cognitively demanding workplaces. It teaches children to be critical thinkers, productive members of society, and active participants in a democratic society. As a perceptron used in image recognition and processing, a convolutional neural network (CNN) processes pixel data from social networks. A CNN uses multiplayer perception to lessen the processing needs of pupils. Humans and neurons make up the VPSN-CNN network, which the article explains. Neurons generate dendrites and axons to receive and transmit signals, while humans engage with long-reaching telecommunication equipment or biological communication systems. These will help remember, learn, unlearn, and relearn what has already been learned. In courses where social networking sites were utilised in addition to traditional teaching methods, most students reported feeling more socially engaged and more positive about their educational experiences. Students' and instructors' concerns regarding the educational usage of social media are addressed with recommendations for further study and practice in better performance and accuracy for student's data secure and comparison with existing methods. 2023 Little Lion Scientific. All rights reserved.
Annamalai A.; Poonia R.C.; Shanmugasundaram S.
Journal of Theoretical and Applied Information Technology, Vol-101, No. 4, pp. 1579-1593.
Annamalai A., Amity Institute Information Technology, Amity University Rajasthan, Rajasthan, Jaipur, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India; Shanmugasundaram S., Department of Engineering, Faculty of Engineering & Technology, Botho University, Gaborone, Botswana, PO Box 501564, Kgale KO, Near Game City, Gaborone, Botswana
Effects of Yoga and Combined Yoga with Neuro-Linguistic Programming on Psychological Management in Mothers of Adolescents: A Randomized Controlled Trial
adolescent; depression; neuro-linguistic programming; stress; yoga
Adolescent parenting presents significant challenges for mothers, often leading to elevated levels of stress and anxiety that can adversely affect their well-being and parenting effectiveness. This study aims to evaluate the efficacy of yoga alone and in combination with Neuro-Linguistic Programming (NLP) in managing stress and anxiety among mothers of adolescent children. In this randomized controlled trial, 90 participants aged 35-55 years (mean age 44.564.58 years), each with at least one child aged 13-19 years, were randomly assigned to one of three groups: control, yoga, or yoga with NLP. Interventions were conducted over 12 weeks, with outcome measures assessed pre- and post-intervention by trained research assistants blinded to group allocation. The Depression, Anxiety, and Stress Scale (DASS-21), and Pittsburgh Sleep Quality Index (PSQI), were utilized to evaluate outcomes. Both intervention groups demonstrated significant reductions in depression, anxiety, and stress levels compared to the control group. The yoga with NLP group exhibited superior improvements across all primary outcomes, with statistically significant differences noted in depression (mean difference =7.1, p<0.001), anxiety (mean difference =5.1, p<0.001) and stress levels (mean difference =5.5, p<0.001). Additionally, sleep quality improved significantly in both intervention groups, with the yoga with NLP group showing greater benefits. This study provides evidence that yoga, particularly in combination with NLP, is an effective non-pharmacological approach for reducing stress and anxiety and improving sleep quality among mothers of adolescents. These findings support the integration of mind-body practices into mental health care, highlighting the potential synergistic benefits of combining physical and cognitive interventions. Future research should explore long-term effects and the mechanisms underlying these improvements. 2024 Montenegrin Sports Academy. All rights reserved.
Ghosh T.; Duraipandian C.; Joseph S.; Kumasi B.; Salvi N.M.; Elayaraja M.; Astuti Y.; Orhan B.E.; Karmakar D.; Govindasamy K.
https://doi.org/10.26773/smj.241016 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208137182&doi=10.26773%2fsmj.241016&partnerID=40&md5=504a8a5a66cd4d6f9a308a6f98b4a6f6
Ghosh T., Meenakshi Academy of Higher Education and Research, Faculty of Yoga Science and Therapy, Tamil Nadu, Chennai, India; Duraipandian C., Meenakshi Academy of Higher Education and Research, Meenakshi Faculty of Pharmacy, Tamil Nadu, Thandalam, India; Joseph S., Christ University, Department of Physical Education, School of Humanities, Bangalore, India; Kumasi B., Sri Balaji University, Department of Sports Recreation and Wellness, Pune, India; Salvi N.M., Symbiosis International (Deemed University), Department of Sports Recreation & Wellness, Maharashtra, Pune, India; Elayaraja M., Pondicherry University, Department of Physical Education and Sports, Puducherry, India; Astuti Y., Universitas Negeri Padang, Faculty of Sports Sciences, Indonesia; Orhan B.E., Istanbul Aydin University, Faculty of Sports Sciences, Istanbul, Turkey; Karmakar D., Lakshmibai National Institute of Physical Education, Department of Physical Education Pedagogy, Madhya Pradesh, Gwalior, India; Govindasamy K., SRM Institute of Science and Technology, Department of Physical Education and Sports Sciences, Faculty of Science and Humanities, Tamil Nadu, Kattankulathur, India
Effectual Energy Optimization Stratagems for Wireless Sensor Network Collections Through Fuzzy-Based Inadequate Clustering
Wireless Sensor Networks (WSNs) are crucial in the burgeoning Internet of Things (IoT) landscape, serving as a backbone technology that enables myriad applications across various industries. Originating as a simple methodology, WSNs have evolved significantly, propelled by rapid advancements in sensor technology and hardware capabilities. These networks play a pivotal role in collecting and transmitting data, which is essential for the infrastructure of most IoT systems. WSNs operate by deploying sensor nodes across diverse locations to gather environmental data. This scalability and adaptability of WSNs were demonstrated in studies where network coverage was expanded to include 100 and 200 nodes. Notably, the implementation of the innovative FLECH (Fuzzy Logic Energy-efficient Clustering Hierarchy) protocol significantly enhanced energy efficiency, reducing consumption by 12.69% in networks with 100 nodes and by 36.85% in those with 200 nodes, compared to the traditional LEACH (Low-Energy Adaptive Clustering Hierarchy) protocol. This work innovatively combines fuzzy logic and Particle Swarm Optimization (PSO) for efficient Cluster Head selection in Wireless Sensor Networks. The evaluation of these protocols involved numerous simulations and communication tests to ascertain the First Node Die (FND) pointindicative of when a network begins to lose efficacy due to energy depletion. Results indicated that the LEACH protocol reached the FND point faster than FLECH, suggesting that FLECH may offer better longevity and durability for IoT applications, aligning with the needs for sustainable and efficient operation in expanding technological ecosystems. The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.
S K.; Rao D.D.; Jain A.; Sharma S.; Pandit S.V.; Pandey R.
S K., Christ University, Karanataka, Banglore, India; Rao D.D., Indian Institute of Technology, Patna, India; Jain A., School of Computer Applications, Manav Rachna International Institute of Research and Studies(MRIIRS), Haryana, Faridabad, India; Sharma S., School of Computer Applications, Manav Rachna International Institute of Research and Studies(MRIIRS), Haryana, Faridabad, India; Pandit S.V., Department of Artificial Intelligence and Data Science, PES Modern College of Engineering, Pune, Shivajinagar, 411005, India; Pandey R., Department of Computer Science & amp; Engineering, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, Madhya Pradesh, India
Efficacy of a peer-delivered group psychological intervention to reduce psychological distress among university students in India: a randomised controlled trial using an active control condition; [Eficacia de una intervenci psicolica grupal realizada por pares para la reducci del malestar psicologico en estudiantes universitarios en India: ensayo clico aleatorizado empleando una condici de control activo]
controlled trial; depression and anxiety; group support; non-specific factors; Scalable intervention; video teleconferencing
Background: Brief psychological interventions in low-and-middle-income-countries (LMICs) have been typically tested against usual or enhanced usual care (EUC). This design precludes understanding of the role of non-specific factors in influencing outcomes. Objective: This study evaluated an adapted version of WHOs Problem Management Plus (gPM+), titled Coping with COVID, against an active control condition to reduce anxiety and depression during the COVID-19 pandemic. Methods: In this two-arm, single-blind, randomised controlled trial, young adults aged 1824 years who screened positive for COVID-19 related psychological distress in Bengaluru (India) were randomly allocated to either Coping with COVID (n = 91) or non-directive Supportive Counselling (SC; n = 92) groups. Coping with COVID was a 6-sesion, group-based programme that taught coping strategies for stress. SC was a 6-sesion, group-based programme that offered non-directive support. The primary outcomes were anxiety and depression as measured by the Hospital Anxiety and Depression Scales (HADS) assessed at baseline, post-intervention, 2-months (primary outcome timepoint), and 6-months after treatment. Secondary outcomes included generalised worry, positive wellbeing, pandemic-related stress, and suicidal ideation. Results: Between October 2021 and December 2022, 183 participants were enrolled into the trial. Relative to SC, Coping with COVID did not lead to significant reductions in anxiety (mean difference 0.24 [95% CI, ?1.01,1.48], p>.05), or depression (mean difference.03 [95% CI, ?1.19, 1.26], p>.05). Similarly, there were no significant differences between conditions for all secondary outcomes. Conclusions: The findings suggest that the benefits of strategies that comprise transdiagnostic scalable psychological interventions may not surpass non-specific factors in driving symptom reduction. Clinical implications: There is a need to further evaluate the role of non-specific factors in scalable psychological programmes because focusing on these may have implications for ease of training and implementation. Trial registration:Australian New Zealand Clinical Trials Registry identifier: ACTRN12621001064897. 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Keyan, Dharani; Dawson, Katie S.; Yadav, Srishti; Azevedo, Suzanna; Choi-Christou, Jasmine; Maliakkal, Deepthi J.; Pillai, Mohan K.; Chokani, Ritika; Thomas, Elizabeth; George, Tony S.; Bryant, Richard A.
European Journal of Psychotraumatology;Volume;16;Issue;1;Article No.;2503603;
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.1080/20008066.2025.2503603 https://www.scopus.com/pages/publications/105007297776?origin=resultslist
Keyan D., University of New South Wales, Sydney, NSW, Australia; Dawson K.S., University of New South Wales, Sydney, NSW, Australia; Yadav S., University of New South Wales, Sydney, NSW, Australia; Azevedo S., University of New South Wales, Sydney, NSW, Australia; Choi-Christou J., University of New South Wales, Sydney, NSW, Australia; Maliakkal D.J., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Pillai M.K., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Chokani R., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Thomas E., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; George T.S., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Bryant R.A., University of New South Wales, Sydney, NSW, Australia
Efficacy of AI for Three-Dimensional Point Cloud Semantic Segmentation of Heritage Data for XR Environments
3D Point Cloud Semantic Segmentation (3DPSS); AI in cultural heritage; Digital heritage; Immersive experience; Scan-to-BIM; XR in heritage conservation
In heritage documentation, three-dimensional (3D) models created using Scan-to-BIM processes are essential for interpreting and presenting historic structures. Point cloud data derived from 3D laser scanning and photogrammetry facilitate realistic digital models used for immersive experiences. For this, raw point clouds, which are unstructured, are processed, semantically classified, and segmented to create parametric architectural objects in modeling platforms. Three-Dimensional Point Cloud Semantic Segmentation (3DPCSS) refers to segmenting point clouds into classes like walls, columns, etc. Automating 3DPCSS using Artificial Intelligence (AI) has gained importance in current research activities because of its versatility and efficiency over manual segmentation. However, implementing it solely with AI presents various operational and conceptual challenges, particularly for XR models in digital heritage. Automated segmentation often fails to capture the unique characteristics and intricate geometries, leading to misrepresentations or oversimplifications. Selecting an appropriate algorithmic framework for automating 3DPCSS is essential to address this gap. This paper aims to understand the efficacy of AI algorithms in recent research for 3DPCSS, particularly those tailored for 3D modeling. A study of Dwarakadesh Haveli, Ahmedabad, India, highlights the workflow and challenges of integrating point clouds into 3D models. The findings indicate the need for a detailed approach tailored to the projects specific characteristics, emphasizing the importance of systematic algorithm ensemble experimentation to refine segmentation, leading to the development of 3D parametric objects. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Lecture Notes in Civil Engineering;Volume;683 LNCE;pp.67-84
Springer Science and Business Media Deutschland GmbH
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1007/978-981-96-8761-9_5 https://www.scopus.com/pages/publications/105022165240?origin=resultslist
Subhadha B., Christ University, Bengaluru, India, Communication, Arch + The Arts, Florida International University, Miami, United States; Jaganathan S., Christ University, Bengaluru, India
Efficacy of art based interventions for emotional problems among children affected by earthquake in nepal
Efficacy of Art Based Interventions for Emotional Problems among Children Affected by Earthquake in Nepal
The earthquake of April 2015 left Nepal in a vulnerable state. Children represent an estimated 3.2 million of the 8 million people affected by the earthquake. The aim of the study was to examine the role of art in dealing with the long-term impact of earthquake on emotional problems in children in Nepal. A purposive sampling was adopted to select 454 children studying in 4th and 5th standard from four schools in Kathmandu Metropolitan City. Children completed the Level of Exposure Scale while the parents provided information about the emotional and behavioural difficulties of children using the Nepali version of Strengths and Difficulties Questionnaire (SDQ/ 4-17). The influence of gender, severity of exposure, socio-economic status and type of family in relation to emotional problems were also examined in the selected group. The results of Phase 1 show that conduct, hyperactivity-inattention and peer problems were higher in boys while girls had higher pro-social behaviour. Children belonging to lower socio-economic status were found to be at risk for emotional problems. Gender and exposure were also identified as predictors of emotional problems in children. For the second phase of the study, those children with high emotional problems (N=60) were selected for an art-based intervention consisting of nine sessions. Both the treatment (N=30) and control group (N=30) completed the pre- and post- treatment measure of SDQ. The results show that the children in the treatment group reported lower levels of emotional problems, hyperactivity-inattention and peer problems compared to the control group (Cohen's d: 0.50-0.80). In the final phase of the study, 12 children from the treatment group were interviewed to identify the elements of art that contributed to a change in the emotional problems. A thematic vii analysis revealed six global themes: a new schema, an expression space, drawing the trauma, reappraisal of trauma narrative, protective factors and future benefits. The responses of the children show that the inherent properties such as regulation and social connection promoted by an engagement in arts needs to be adopted as an effective mode of trauma care. The findings also point to the possibility of using art-based therapy to overcome stigma which hinder the mental health professionals when implementing evidence-based treatments in the country.
Efficacy of Artificial Neural Networks (ANN) as a Tool for Predictive Analytics
Artificial Neural Network (ANN); Decision-making; Forecasting; Output prediction; Predictive analytics
Predictive analytics could also be defined as the application of statistical techniques and mathematical modeling to anticipate the future performance and expected return on investments. Predictive analytics examines the most recent and the historical data to see if the same pattern is likely to reoccur or not. This gives an opportunity to businessmen and financial investors to make an appropriate decision about their investments and expected returns. Ever since the development of ANN technique, researchers have tried to create a number of predictive models using ANN. The chapter is focused on defining predictive analytics and the tools used in predictive analytics, with a special orientation on Artificial Neural Networks. The objective of the chapter is to establish ANN as an effective technique for making appropriate predictions and thereby contributing toward the decision-making in various spheres using the outcomes from various researches. The chapter also aims to explain the step-by-step process of ANN in outcome prediction with the help of example. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
Analytics Enabled Decision Making, pp. 123-138.
Sinha D., CHRIST (Deemed to be University), Delhi NCR, India; Sarangi P.K., Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India; Sinha S., CHRIST (Deemed to be University), Delhi NCR, India
Efficacy of Canine - Assisted Therapy on Social Competence among INdividuals with Autism Spectrum Disorder
Adults with Autism Spectrum Disorder (ASD), because of their deficits in social newlinecompetence, often suffer a great deal in the community. Canine-assisted therapy (CAT) seems to be a useful approach to improve social functioning. This study aimed to investigate whether CAT can assist in improving the social competence of adults newlinewith ASD. The study employed an ABAB single case experimental design with four newlineparticipants. The social performance and social interactions with the therapy dog and newlinetherapist were the target measures of the study, and they were assessed using the newlineVellore Assessment of Social Performance and Animal-assisted Therapy Flowsheet. The baseline measures for the study were taken four times for 4 weeks for two newlinebaseline/reversal phases of the study. CAT was delivered by a trained dog along with newlinea certified animal-assisted practitioner twice a week for 4 weeks for 45-60 minutes newlineduring two intervention phases. The results were interpreted using descriptive, newlinegraphical, and numerical analysis. The mean scores indicated improvement in social newlineperformance and social interaction scores in the intervention phases. The visual newlineinspection showed similar results as indicated by the increasing trend line in newlineintervention phases. The results of the non-overlap of all pairs showed a medium to newlinestrong effect of CAT on improving social performance. The results validated the use newlineof CAT in the enhancement of social competence among adults with ASD. The study newlinesignificantly contributed to the field of CAT as well as has implications for aiding the newlineintegration of adults with ASD into mainstream society by enhancing their social newlinefunctioning.
Efficacy of digital MBCT-PD in preventing postpartum depression and enhancing work motivation: A study protocol
Mindfulness-based cognitive therapy (MBCT); Postpartum depression; Well-being, study protocol; Work motivation
Background: Postpartum depression (PPD) is a significant challenge for women transitioning back to work. While preventive measures are essential, the effectiveness of Mindfulness-Based Cognitive Therapy (MBCT) in this context remains underexplored. This study will assess the efficacy of a digital MBCT program (MBCT-PD) in preventing PPD, enhancing well-being, and motivating work resumption after childbirth. Methods: A randomized controlled trial (RCT) with repeated measures will evaluate MBCT-PD, a digitally delivered intervention designed to promote mindfulness and emotional resilience. Eighty consenting pregnant women aged 18+, between 16 and 32 weeks gestation, residing in urban India will be recruited and randomized to either the MBCT-PD group or an enhanced treatment-as-usual (TAU) control group, which includes additional prenatal wellness resources. The intervention will span eight weeks, with assessments at baseline, post-intervention (T1), and six weeks postpartum (T2). Primary outcomes are depression (Edinburgh Postnatal Depression Scale), well-being (Pregnancy Experience Scale-Brief), and work motivation (Multidimensional Work Motivation Scale). Secondary outcome is mindfulness level (Three Facet Mindfulness Questionnaire-Short Form). Descriptive statistics, repeated measures ANOVA, and regression analyses will determine the effect of MBCT-PD on these outcomes. Expected Results: We anticipate that the MBCT-PD group will show reduced PPD symptoms, improved well-being, and greater motivation to resume work than the control group, consistent with previous findings on mindfulness-based interventions. Conclusion: The findings from this study are expected to support the efficacy of MBCT-PD as a cost-effective, scalable intervention for enhancing postpartum mental health and work reintegration, with potential applications in maternal mental health practices and policies worldwide. Trial Registration: Clinical Trial Registry of India. CTRI/2024/03/064,831 2025
Ansaari N.; Kuruveettissery S.; Muralidhar A.
https://doi.org/10.1016/j.mhp.2025.200392 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214475352&doi=10.1016%2fj.mhp.2025.200392&partnerID=40&md5=94892d50a03dd7ea552975b967a6f731
Ansaari N., Department of Psychology, Christ University, India; Kuruveettissery S., Department of Psychology, Christ University, India; Muralidhar A., Department of Obstetrics and Gynecology, Cloudnine Hospital, India
Ansaari, Neda; Kuruveettissery, Sreenath; Muralidhar, Aruna
Mental Health and Prevention;Volume;37;Issue;;Article No.;200392;
https://doi.org/10.1016/j.mhp.2025.200392 https://www.scopus.com/pages/publications/85214475352?origin=resultslist
Efficacy of in-person versus digital mental health interventions for postpartum depression: meta-analysis of randomized controlled trials
digital interventions; in-person interventions; meta-analysis; perinatal depression; Postpartum depression; randomized controlled trials
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.
Ansaari N.; Rajan S.K.; Kuruveettissery S.
Journal of Reproductive and Infant Psychology
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
Ansaari, Neda; Rajan, Santhosh Kareepadath; Kuruveettissery, Sreenath
Journal of Reproductive and Infant Psychology;Volume;43;Issue;4;pp.1067-1087
https://doi.org/10.1080/02646838.2024.2303470 https://www.scopus.com/pages/publications/85182499434?origin=resultslist
Efficacy of Nanomaterials and Its Impact on Nosocomial Infections
Antimicrobial agents; Detection methods; Microbial pathogens; Nanomaterials
Nanotechnology provides the ability to manipulate the properties of materials by using their size, and this has lead research towards a massive amount of plausible uses for nanomaterials. Irresistible maladies can occur, and they create an impressive burden on general wellbeing worldwide. The incident of these ailments is higher in developing nations. Irresistible maladies might be caused by microscopic organisms, infections, and protozoa, and the diseases they cause are often resistant to traditional treatment bringing about protracted contamination and higher mortality risk. In connection to that, the patients infected with these smaller scale creatures, that may prove resilient for an extended period of time, can be transmitters of these diseases to others. The recuperating of irresistible maladies is possible by metal-based nanoparticles that are plausible therapeutics for the treatment of irresistible ailments and their natural productivity. Metal-based nanoparticles that have been accounted for with antibacterial movement include silver, iron, iron oxide, copper oxide, zinc oxide, aluminum oxide, titanium dioxide, gold, and gallium nanoparticles. Present day improvements in nanotechnology enable us to handle this issue at two levels: diagnostics and treatment. Elimination of irresistible microorganisms requires effortless and exact recognition of the irresistible agents for suitable treatment. Various nanomaterials have been considered for the management of and cautious measures for irresistible ailments. Recently, nanomaterials have improved the treatment, diagnostics, and avoidance of irresistible illnesses. Built nanoparticles have been progressively utilized in irresistible infection management caused by microorganisms. Progress in nanoparticle-based frameworks involve a confident research region with basic ramifications for the recuperating of bacterial contaminations. Nanosystems have been shown to be beneficial, and different approaches dependent on nanoparticles have been expanded to see unambiguous agents. Various purpose-of-care (POC) tests have been anticipated that can propose results earlier, simpler, and at less expense than known strategies and can even be used in difficult to reach areas for viral determination. Quorum sensing is a boosts reaction substance formulation strategy interrelated with population density that microorganisms use to authorize biofilms development. Research is ongoing concerning the antimicrobial movement of nanoparticles, contrasting it by methods for and the motivation behind the natural extract of therapeutic plants, and concentrating on anti-toxin protections of pathogenic microscopic organisms. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Kalitha Parveen P.; Christobher S.; Balasubramanian B.; Kaliannan D.; Pappusamy M.; Meyyazhagan A.
Nanotechnology in the Life Sciences, pp. 237-260.
Kalitha Parveen P., PG Department of Zoology, Hajee Karutha Rowther Howdia College of Arts and Science, Tamil Nadu, Uthamapalayam, India; Christobher S., Department of Zoology, Nallamuthu Gounder Mahalingam College, Tamil Nadu, Pollachi, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Sciences, Sejong University, Seoul, South Korea; Kaliannan D., Zoonosis Research Center, Department of Infection Biology, School of Medicine, Wonkwang University, Iksan, South Korea; Pappusamy M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Meyyazhagan A., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India
Efficacy of Natural Zeolite and Metakaolin as Partial Alternatives to Cement in Fresh and Hardened High Strength Concrete
Urbanization and industrialization have dramatically increased the manufacture of cement causing substantial pollution of the environment. The primary global concern related to cement manufacture has been the management of the large carbon footprints. The usages of environmentally friendly cementitious materials in the construction of structures have proved to be a viable option to deal with this environmental concern. Therefore, it is necessary to further explore the usage of cementitious materials which can replace cement albeit partially. In this direction of research, two such cementitious materials, namely, natural zeolite and metakaolin have been investigated in this study. High-strength concrete M60 with natural zeolite and metakaolin as the partial replacements for the cement has been prepared in this work. Polycarboxylic ether-based superplasticizer solution has been used to enhance workability. The test specimen cast and cured for 3, 7, 28, 60, and 90 days at ambient room temperature has been tested for compressive strength, split tensile strength, and flexural strength as per the Indian standards. The optimum mix of high-strength concrete thus manufactured has met the Indian standards, and the combination of cement +5% natural zeolite +10% metakaolin has exhibited the highest compressive, split tensile, and flexural strengths at 90 days of curing. Natural zeolite and metakaolin when used in smaller proportions have increased the concrete strength, and these materials are recommended for partial replacement of cement. 2021 Iswarya Gowram et al.
Gowram I.; Beulah M.; Sudhir M.R.; Mohan M.K.; Jain D.
Advances in Materials Science and Engineering, Vol-2021
Gowram I., Department of Civil Engineering, School of Engineering and Technology, Christ (Deemed to Be University), Karnataka, Bangalore, 560074, India; Beulah M., Department of Civil Engineering, School of Engineering and Technology, Christ (Deemed to Be University), Karnataka, Bangalore, 560074, India; Sudhir M.R., Department of Civil Engineering, School of Engineering and Technology, Christ (Deemed to Be University), Karnataka, Bangalore, 560074, India; Mohan M.K., Department of Science and Humanities, Christ (Deemed to Be University), Karnataka, Bangalore, 560074, India; Jain D., Department of Construction Technology and Management, Bule Hora University, POB 144 Oromia, Ethiopia