AI-driven deep learning framework for energy-efficient optimization in IoT-enabled wireless networks
Data Fusion; Energy Efficiency; IoT; Network Optimization; Reinforcement Learning; Sleep Scheduling; Wireless Sensor Networks
Artificial intelligence (AI) and Internet of Things (IoT)-enabled wireless sensor networks (WSNs) have revolutionized industries by providing automation, real-time monitoring, and analytics that are predictive. WSNs still face significant obstacles such data security, network flexibility, and energy limitations in spite of these developments. In order to optimize energy use in Internet of Things (IoT)-based WSNs, this study introduces a novel Reinforcement Learning-based Energy-Efficient Communication Protocol (RL-EECP) to optimize the lifetime of networks and guarantee effective data transmission. The suggested protocol integrates sleep scheduling, reinforcement learning, and data fusion techniques. Also, an adaptive prioritization approach is introduced that assesses nodes according to the surroundings, significance, and energy consumption. Experiments show that RL- EECP performs better than existing studies in extending node lifetime and preserving excellent network performance. Bharati Vidyapeeth's Institute of Computer Applications and Management 2025.
Venugopal, Anita; Purad, Hemavati C.; Shanbhog, Manjula; Malhotra, Richa; Kaur, Tejinder; Jha, Nivedita
International Journal of Information Technology (Singapore);
Springer Science and Business Media B.V.
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1007/s41870-025-02649-z https://www.scopus.com/pages/publications/105014889373?origin=resultslist
Venugopal A., IT Deparment, Dhofar University, Dhofar, Salalah, Oman; Purad H.C., Department of AIML, Ballari Institute of Technology & Management, Karnataka, Ballari, India; Shanbhog M., Department of Computer Science, Christ University, Bangalore, India; Malhotra R., Dr. Akhilesh Das Gupta Institute of Professional Studies (ADGIPS), Delhi, India; Kaur T., Department of MMICTBM, Maharishi Markandeshwar (Deemed To Be University), Mullana, Haryana, Ambala, India; Jha N., Symbiosis Institute of Business Management, Symbiosis International (Deemed) University, Nagpur, India
AI-Powered Solutions for Legal Compliance in Industrial Workspaces a Psychological and Labour Law Perspective
The complicated issue of the ways to ensure the workplaces in the industries meet the legal standards brings together the psychology of the workplaces, the labour law, and the convolution of the AI design. In this dissertation, the author investigates the use of AI-mediated options to deal with regulatory compliance and psychological and legal issues. The risk associated with the fair labour, discrimination, and safety issues can be addressed with the help of predictive analytics, automated compliance, and AI-compliance monitoring. The use of AI can also be expanded to support worker well-being and mental health through the identification of work stressors, burnout prevention, and creation of a physiologically safe workplace. But in the case of AI, there are ethical or legal considerations around the agency of workers, bias in algorithms, as well as privacy or confidentiality of data. Due to these reasons, it is necessary to adopt the strategy approach, where AI and human observation are used to determine the work decisions trade-offs in an observable and just manner to employers and employees alike. This dissertation also added to the contribution of how AI can benefit the responsible design of industrial workplaces that do not fail to achieve ethical standards, hold to psychological sustainability, and adhere to labour laws, evaluating the psychological effects of labour law actors as well as effects on the workplace. 2025 IEEE.
Venugopal, E.; Rikimi; Vinjamuri, Lakshmi Priya; Sachan, Vivek Singh; Samuel, Stephen; Shukhratjon, Ismoilov
2025 International Conference on Sustainability, Innovation and Technology, ICSIT 2025;
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/ICSIT65336.2025.11295145 https://www.scopus.com/pages/publications/105031628417?origin=resultslist
Venugopal E., Saveetha School of Law, Saveetha University, Chennai, India; Rikimi, MIT Institute of Design, MIT ADT University, Department of Graphic Design, Maharashtra, Pune, India; Vinjamuri L.P., Technology and Legal Analyst Law College, Dehradun Uttaranchal University, Uttarakhand, India; Sachan V.S., School of Business Management, CSJM University, Kanpur, India; Samuel S., CHRIST (Deemed to be University), Department of Psychology, Karnataka, Bangalore, India; Shukhratjon I., Tashkent State University of Law, Department of LabourLaw, Tashkent, Uzbekistan
Appraisal of prolyl 4-hydroxylase alpha subunit gene polymorphisms in Spondyloepimetaphyseal dysplasia of Handigodu type (SEMDHG)
4-hydroxyproline; Collagen; Handigodu; Prolyl 4-hydroxylase; Spondyloepimetaphyseal dysplasia
Background: The Handigodu variant of Spondyloepimetaphyseal Dysplasia (SEMDHG) is a severe, progressive osteoarthritic disorder characterized by chronic pain and joint degeneration. Clinically, the disorder presents in three distinct phenotypic forms, each exhibiting varying degrees of stature reduction and disease severity. Urine analysis of affected individuals reveals an elevated peptide-bound proline to 4-hydroxyproline ratio relative to controls, suggesting disruptions in collagen metabolism. Given the critical role of prolyl 4-hydroxylase enzymes in stabilizing collagen structure, this study undertook a comprehensive sequence analysis of all three isoforms of prolyl 4-hydroxylase in both affected and unaffected individuals to elucidate potential molecular underpinnings of the disorder. Method: The entire exonic regions and 2000 base pairs upstream of the translation start sites of the P4HA1, P4HA2, and P4HA3 genes were sequenced in a cohort of 300 individuals, comprising 166 affected and 134 unaffected individuals. Results: Sequence analysis of the ? (I), ? (II), and ? (III) subunit genes identified three novel SNPs and a 39-bp deletion variant, in addition to ten previously reported SNPs catalogued in dbSNP. The SNP rs28384495 in P4HA1, the 39-bp deletion variant, and a novel mutation (SNP3) in P4HA3 exhibited significantly different allele frequencies between patients and controls. Genotype association analysis revealed that SNPs in P4HA1 and P4HA3 were associated with Type 2 and Type 3 HD under various genetic models. Notably, all Type 2 HD patients were heterozygous for the 39-bp deletion, whereas all Type 3 HD patients were homozygous for the variant. Haplotype analysis corroborated the findings of the genotype association analysis. Conclusion: This study is the first to account an association between the P4H gene and disease. Further research is needed to evaluate the functional implications of the identified mutations. 2024
Venugopal, Pulamaghatta N.; Rao, Isukapatla Arjun; Mollick, Sahid Afrid; Chandrasekar, Adimoolam
Human Gene;Volume;43;Issue;;Article No.;201387;
https://doi.org/10.1016/j.humgen.2025.201387 https://www.scopus.com/pages/publications/85216883798?origin=resultslist
Venugopal P.N., Anthropological Survey of India, Southern Regional Centre, Karnataka, Mysore, India; Rao I.A., Department of Life Sciences, Christ University, Karnataka, Bengaluru, India; Mollick S.A., Anthropological Survey of India, Southern Regional Centre, Karnataka, Mysore, India; Chandrasekar A., Anthropological Survey of India, Southern Regional Centre, Karnataka, Mysore, India
An Investigation into the Irrigation Capability of Treated Wastewater by Monitoring the Growth of Cicer arietinum (Chickpea)
Atomic absorption spectroscopy; Biochemical analysis; Chickpea; Enzymatic and non-enzymatic assays; Treated wastewater
This study compared the effects of treated wastewater and Hoagland nutrient media on chickpea growth. Results showed that Hoagland media created a more favourable environment, with higher protein levels and carbohydrate content. Antioxidant enzyme activity varied, with SOD activity increasing in both samples. Heavy metal analysis revealed higher lead concentrations in treated wastewater. The findings have implications for sustainable irrigation practices and environmental protection. Treated wastewater can be a viable irrigation option, but careful management is necessary to prevent adverse effects on plant growth and human health. Cautious use of treated wastewater in agriculture is essential for safe and sustainable crop production. 2025 - Kalpana Corporation.
Indian Journal of Environmental Protection;Volume;45;Issue;12;pp.1102-1116
https://www.scopus.com/pages/publications/105027646078?origin=resultslist
Venugopal S., Christ University, Department of Life Sciences, Karnataka, Bangalore, 560 029, India; Anand A., Christ University, Department of Life Sciences, Karnataka, Bangalore, 560 029, India
Lightweight Sybil attack detection framework for wireless sensor network with cluster topology
The development of communication and networking technology has made it possible for wireless sensor networks to play a significant role in many fields. Wireless sensor networks are vulnerable to a variety of security threats because of their remote hostile features. The Sybil attack, which generates several identities to gain access to wireless sensor networks, is one such devastating but simple to spread exploit. This Paper proposes a novel identity and trust-based system to ensure protection against Sybil attacks. Analysis of the RSSI and location parameter increases the accuracy. It recognises the attackers and broadcasts information about them to all adjacent sensor nodes. Additionally, it offers other crucial security features. 2025 Author(s).
Venugopal, Sujatha; Auxilia, Mary Anita Edwin; Dhanusgodi, Vinodha
AIP Conference Proceedings;Volume;3159;Issue;1;Article No.;40006;
https://doi.org/10.1063/5.0247037 https://www.scopus.com/pages/publications/85216093783?origin=resultslist
Venugopal S., Department of MCA, S.A. Engineering College, Tamilnadu, Chennai, India; Auxilia M.A.E., Department of CSE, School of Engineering and Technology, Christ University, Bengaluru, India; Dhanusgodi V., Department of CSE, School of Engineering and Technology, Christ University, Bengaluru, India
European VLBI Network observations of the peculiar radio source 4C 35.06 overlapping with a compact group of nine galaxies
galaxies: active; galaxies: clusters: general; galaxies: formation; galaxies: jets; galaxies: nuclei; radio continuum: galaxies
Context. According to the hierarchical structure formation model, brightest cluster galaxies (BCGs) evolve into the most luminous and massive galaxies in the Universe through multiple merger events. The peculiar radio source 4C 35.06 is located at the core of the galaxy cluster Abell 407, overlapping with a compact group of nine galaxies. Low-frequency radio observations have revealed a helical, steep-spectrum, kiloparsec-scale jet structure and inner lobes with less steep spectra, compatible with a recurring active galactic nucleus (AGN) activity scenario. However, the host galaxy of the AGN responsible for the detected radio emission remained unclear. Aims. We aim to identify the host of 4C 35.06 by studying the object at high angular resolution and thereby confirm the recurrent AGN activity scenario. Methods. To reveal the host of the radio source, we carried out very long baseline interferometry (VLBI) observations with the European VLBI Network of the nine galaxies in the group at 1.7 and 4.9 GHz. Results. We detected compact radio emission from an AGN located between the two inner lobes at both observing frequencies. In addition, we detected another galaxy at 1.7 GHz, whose position appears more consistent with the principal jet axis and is located closer to the low-frequency radio peak of 4C 35.06. The presence of another radio-loud AGN in the nonet sheds new light on the BCG formation and provides an alternative scenario in which not just one but two AGNs are responsible for the complex large-scale radio structure. The Authors 2024.
Veres P.M.; Gabyi K.; Frey S.; Paragi Z.; An T.; Bagchi J.; Bogd ; Biju K.G.; Kun E.; Jacob J.; Adebahr B.
All Open Access; Green Open Access; Hybrid Gold Open Access
Veres P.M., Astronomisches Institut, Ruhr-Universit Bochum, Universitsstr. 150, Bochum, 44801, Germany, Konkoly Observatory, HUN-REN Research Centre for Astronomy and Earth Sciences, Konkoly Thege Mikl 15-17, Budapest, 1121, Hungary, CSFK, MTA Centre of Excellence, Konkoly Thege Mikl 15-17, Budapest, 1121, Hungary; Gabyi K., Department of Astronomy, Institute of Physics and Astronomy, ELTE Ev Lord University, Pmy Per sy 1/A, Budapest, 1117, Hungary, HUN-RENELTE Extragalactic Astrophysics Research Group, ELTE Ev Lord University, Pmy Per sy 1/A, Budapest, 1117, Hungary, Konkoly Observatory, HUN-REN Research Centre for Astronomy and Earth Sciences, Konkoly Thege Mikl 15-17, Budapest, 1121, Hungary, CSFK, MTA Centre of Excellence, Konkoly Thege Mikl 15-17, Budapest, 1121, Hungary; Frey S., Konkoly Observatory, HUN-REN Research Centre for Astronomy and Earth Sciences, Konkoly Thege Mikl 15-17, Budapest, 1121, Hungary, CSFK, MTA Centre of Excellence, Konkoly Thege Mikl 15-17, Budapest, 1121, Hungary, Institute of Physics and Astronomy, ELTE Ev Lord University, Pmy Per sy 1/A, Budapest, 1117, Hungary; Paragi Z., Joint Institute for VLBI ERIC, Oude Hoogeveensedijk 4, Dwingeloo, 7991 PD, Netherlands; An T., Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai, 200030, China, Key Laboratory of Radio Astronomy and Technology, Chinese Academy of Sciences, A20 Datun Road, Chaoyang District, Beijing, 100101, China; Bagchi J., Department of Physics and Electronics, CHRIST (Deemed to be University, Hosur Road, Bangalore, 560029, India; Bogd , Center for Astrophysics, Harvard and Smithsonian, 60 Garden Street, Cambridge, 02138, MA, United States; Biju K.G., W.M.O. Arts and Science College, Muttil, Kerala, Wayanad, 673122, India; Kun E., Astronomisches Institut, Ruhr-Universit Bochum, Universitsstr. 150, Bochum, 44801, Germany, Konkoly Observatory, HUN-REN Research Centre for Astronomy and Earth Sciences, Konkoly Thege Mikl 15-17, Budapest, 1121, Hungary, CSFK, MTA Centre of Excellence, Konkoly Thege Mikl 15-17, Budapest, 1121, Hungary, Theoretical Physics IV, Faculty for Physics and Astronomy, Ruhr University Bochum, Universitsstr. 150, Bochum, 44780, Germany, Ruhr Astroparticle And Plasma Physics Center, Ruhr-Universit Bochum, Universitsstr. 150, Bochum, 44780, Germany; Jacob J., Newman College, Kerala, Thodupuzha, 685584, India; Adebahr B., Astronomisches Institut, Ruhr-Universit Bochum, Universitsstr. 150, Bochum, 44801, Germany
Mental Health Stigma: Strategies for Destigmatization in Healthcare Settings
Destigmatization; ENACT program; IBH therapies; Mental Health Advocacy; RESHAPE program
Mental illness is one of the most common disabilities in the world. The term "mental illness stigma"describes harmful practices and misconceptions that lead to a detrimental effect on the mental health, motivation, and self-worth of those who suffer from mental illnesses. Health care services are important for treating and reducing the negative stigma of mental health, as they are areas where patients seek relief and support. The study aims to investigate the causes and how to reduce them. Explores ways to disrupt the health care environment, specifically the RESHAPE program, which focuses on the concept of "critical". This review paper looks at 8-10 papers on mental health and stigma and how stigma will be reduced. The results show that a large number of doctors and students are stigmatized, negatively affecting the lives of people affected by mental illness. RESHAPE, KAP, and IBH therapies are also effective ways to minimize mental health stigma. This intervention aims to educate public health workers, promote social cohesion, and integrate treatment into primary health care, improving treatment into primary health care, improving treatment quality and patient outcomes. The study draws attention to the importance of stigma reduction efforts in the long term in health education and practice emphasis. 2024 IEEE.
Verma A.; Panda K.T.; Sharma V.; Tripathy H.K.; Al-Khasawneh M.A.; Alkhayyat A.
2024 International Conference on Electrical, Electronics and Computing Technologies, ICEECT 2024
Verma A., Kalinga Institute of Industrial Technology, India; Panda K.T., Kalinga Institute of Industrial Technology, India; Sharma V., CHRIST University, Computer Science Department, India; Tripathy H.K., Kalinga Institute of Industrial Technology, India; Al-Khasawneh M.A., Skyline University College, University City Sharjah, School of Computing, Sharjah, 1797, United Arab Emirates, Applied Science Private University, Applied Science Research Center, Amman, Jordan, Jadara University Research Center, Jadara University, Jordan; Alkhayyat A., The Islamic University, College of Technical Engineering, Najaf, Iraq
A phenomenological exploration of Indian women's body image within intersecting identities in a globalizing nation
Body dissatisfaction; Body image; Globalization; Indian women; Intersectionality; Phenomenology
The goal of the study was to examine Indian women's body image experiences utilizing an intersectional framework. Using phenomenological method, the study attempted to explore how experiences of gender oppression intersect with salient social identities to produce experiences of body dissatisfaction in Indian women. Thirty-Five Indian women in the age group 1840 years participated in semi-structured interviews. Overall, women experienced and discussed their bodies in terms of physical features they liked and disliked. Three themes emerged that comprised body image experiences of Indian women- (a) Beautiful, thin and fair- three social imperatives for women, (b) Internalization and (c) Body image management. Each of these impacted women negatively and contributed to greater body monitoring, increased indulgence in unhealthy behaviours and heightened body dissatisfaction. Women also discussed coping techniques for managing such experiences. Researchers and practitioners are encouraged to take into account culturally constructed beauty norms and unique socio-cultural factors for Indian women that determine body image. Findings are interpreted in the context of evolving socio-cultural norms that have recolonised Indian women's embodiment in a globalizing nation. 2023 Elsevier Ltd
Women's Studies International Forum, Vol-98
https://doi.org/10.1016/j.wsif.2023.102732 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153229156&doi=10.1016%2fj.wsif.2023.102732&partnerID=40&md5=b405818499922ef0877717c551e67bcc
Verma A., Jindal School of Psychology & Counseling, OP Jindal Global University, Sonipat, India; Ray S., CHRIST (Deemed to be University)
FACTORS AFFECTING ORGANIC FARMING CULTIVATION AND THEIR ROLE IN ACHIEVING SUSTAINABLE DEVELOPMENT GOALS (SDG)
attitude; motivation; organic farming; Sustainable Development Goals (SDG); sustainable farming
Objectives: The paper aims to explore the factors which influence the organic farming cultivation in India and how they lead towards attainment of SDG. Theoretical Framework: This paper has adopted Theory of Planned Behavior to identify the factors which influence the organic farming and define their relationship with SDG. Method: The paper attempts to explore the factors which influence the organic farming intention among the farmers. It further explores the relationship between intention for organic farming and adoption of organic farming. The data was captured through detailed questionnaire which was captured through 347 respondents. The data analysis was performed with the help of SPSS 29 and AMOS 29 The mediating role of motivation was also explored using process Macro 4.2. Results & Discussions: The findings revealed that environment and cost influence the organic farming intention while attitude and perception had no effect on organic farming intention. Adoption of organic farming shared a positive relationship with organic farming intention The Cultivation of organic products lead to attainment of following goals No Poverty (SDG 1), zero Hunger (SDG2), Good Health and Well Being (SDG3) and Responsible Consumption and Production (SDG 12). Research Implications: The study reveals that there is a need to raise the awareness level among the farmers regarding the role of organic farming, its environmental impacts and health benefits associated with it. The findings underscore the importance of implementing additional training and awareness programs targeted at novice and less-experienced farmers. Such initiatives aim to familiarize them with diverse aspects of marketing, economics, and social factors associated with organic farming. 2025, Editora Alumni In. All rights reserved.
Verma A.; Verma M.; Pillai R.; Raj P.; Krishnan M.G.; Dhanya K.A.
Journal of Lifestyle and SDG'S Review, Vol-5, No. 1
https://doi.org/10.47172/2965-730X.SDGsReview.v5.n01.pe02695 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214372231&doi=10.47172%2f2965-730X.SDGsReview.v5.n01.pe02695&partnerID=40&md5=5569b665887272f992d600eadcfc750d
Verma A., Symbiosis Institute of Business Management, Bengaluru, Symbiosis International University, India; Verma M., Symbiosis Centre for Management Studies, Bengaluru, Symbiosis International University, India; Pillai R., Christ Academy Institute for Advanced Studies, Bengaluru, India; Raj P., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India; Krishnan M.G., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India; Dhanya K.A., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India
Examining the Domain of Green Finance Through Bibliometric Research Analysis of 22 Years (20002022): An Analytical Retrospective
Business Environment; Financial Markets; India; Management
Green finance has evolved as a concept aiming to integrate environmental protection and economic profits. Growing global concern towards climate change, greenhouse gas emissions, industrial pollution control, waste management, and environmental protection has caught the attention of countries and policymakers towards innovative financial products and services that are used to address a broader range of environmental concerns. Financial instruments such as green bonds, green stocks and loans effectively guide capital investment towards environment-friendly projects and promote the United Nations sustainable development goals. Thus, green finance is considered a compelling concept that plays a vital role in promoting sustainability. The authors used the Scopus database to perform a bibliometric review of green finance from 2001 to 2022 to determine the current trend and progress in the field. The article presents a thorough bibliometric and temporal analysis that provides inputs that other researchers on this topic have not evaluated. VoS Viewer and Biblioshiny. The software was used to visually analyse the data and identify patterns of co-occurrences and prominent research themes. The graphical and systematic mapping illustrates the evolution in publications over time and identifies areas of current research interests. The findings show that the research on green finance has gained momentum from 2014 onwards. The analysis provides a comprehensive overview of the green finance-related research, which will help the researchers and policymakers to examine better the trends and future direction of the development of green finance. 2023 MDI.
Verma D., Christ (Deemed to be University), Karnataka, Bengaluru, India; Kalra R., Christ (Deemed to be University), Karnataka, Bengaluru, India; Baheti S.S., Christ (Deemed to be University), Karnataka, Bengaluru, India
From physical to digital: what drives generation Z for mobile commerce adoption?
Attitude; Buying intention; Generation Z; M-commerce; Perceived behavioral control; Subjective norm; Theory of planned behavior
Purpose: This study aims to identify factors affecting generation Z as the early adopters of mobile commerce (m-commerce). The research seeks to explore their behavioral intention to adopt m-commerce in India with consideration of gender differences while providing empirical validation for the theory of planned behavior (TPB). Design/methodology/approach: In this study, a modified TPB model has been used to explain generation Zs intention to adopt m-commerce. The proposed model was tested using a survey method with a sample of 245 students from a private university in Northern India. Subgroup analysis was performed to find gender differences in the process of adopting m-commerce. Findings: All three independent constructs have a positive influence on the behavioral intention of generation Z to adopt m-commerce. Further, the male subgroup has a lower beta value for attitude and higher beta value for subjective norm in comparison to the female subgroup. For perceived behavioral control, no significant difference in beta value across gender could be established. Practical implications: A better understanding of generation Z behavioral intentions will be of great use to telecom companies, marketers and electronic commerce companies to formulate strategies to expedite the use of m-commerce. As gender plays an important role in attitude and subjective norms, companies are advised to target their communication tactics in accordance to gender. Originality/value: To the best of the authors knowledge, this study is one of the first to test TPB and generation Z association in the context of m-commerce adoption in India. Data regarding the difference between the two genders has also shed light on the uniqueness of the context. 2021, Emerald Publishing Limited.
Journal of Asia Business Studies, Vol-15, No. 5, pp. 732-747.
https://doi.org/10.1108/JABS-05-2020-0207 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114452818&doi=10.1108%2fJABS-05-2020-0207&partnerID=40&md5=9f7a18ef6a27e72c175aa475aadca7a6
Verma D., Institute of Business Management, GLA University, Mathura, India; Tripathi V., School of Business and Management, Christ (Deemed to be) University, Delhi NCR Campus, Ghaziabad, India; Singh A.P., Department of Applied Psychology VBS, Purvanchal Univerisity, Jaunpur, India
A Study on the Factors Affecting Infants' Health-Related Issues and Child Mortality using Machine Learning
Child mortality; decision support; infants' health; machine learning; predictive modeling; risk assessment
Child mortality and infant health-related issues remain significant challenges worldwide. Understanding the factors that influence these outcomes is crucial for implementing effective interventions and improving child health outcomes. In this study, we employ machine learning techniques to identify and analyze the key factors affecting infants' health-related issues and child mortality. Further, we identify several significant factors that influence infants' health-related issues and child mortality. These factors include maternal health indicators, access to healthcare services, socioeconomic status, environmental factors, and demographic characteristics. The machine learning models provide insights into the relative importance of these factors, enabling policymakers and healthcare professionals to prioritize interventions and allocate resources effectively. Additionally, we investigate the potential interaction effects among these factors and their impact on child health outcomes. This analysis helps in understanding the complex relationships and causal pathways involved in infants' health-related issues and child mortality. The findings of this study contribute to the existing knowledge by leveraging machine learning techniques to identify and analyze the factors affecting infants' health-related issues and child mortality. The insights gained from this research can inform evidence-based policies and interventions aimed at reducing child mortality rates and improving infant health outcomes globally. By addressing the underlying factors identified through this study, we can work towards achieving better health outcomes for infants and reducing the burden of child mortality worldwide. 2023 IEEE.
2023 2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023, pp. 615-624.
https://doi.org/10.1109/SmartTechCon57526.2023.10391399 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184811405&doi=10.1109%2fSmartTechCon57526.2023.10391399&partnerID=40&md5=c2a75a52748fb1dbcc35e83a4f0c9370
Verma I., School of Computing Science and Engineering, Galgotias University, UP, Greater Noida, India, CHRIST (Deemed to be university) Delhi NCR, Ghaziabad, India; Prasad S.K., School of Computing Science and Engineering, Galgotias University, UP, Greater Noida, India
Investigation of Spectroscopic Parameters and Trap Parameters of Eu3+-Activated Y2SiO5 Phosphors for Display and Dosimetry Applications
CGCD; CIE; phosphors; spectroscopic parameters; trap parameters
Using the solid-state reaction technique, varied Y2SiO5 phosphors activated by europium (Eu3+) ions at varied concentrations were made at calcination temperatures of 1000 C and 1250 C during sintering in an air environment. The XRD technique identified the monoclinic structure, and the FTIR technique was used to analyze the generated phosphors. Photoluminescence emission and excitation patterns were measured using varying concentrations of Eu3+ ions. The optimal strength was observed at a 2.0 mol% concentration. Emission peaks were detected at 582 nm and 589 nm for the 5D0?7F1 transition and at 601 nm, 613 nm, and 632 nm for the 5D0?7F2 transition under 263 nm excitation. Because Eu3+ is naturally bright, these emission peaks show how ions change from one excited state to another. This makes them useful for making phosphors that emit red light for use in optoelectronics and flexible displays. Based on the computed (1931 CIE) chromaticity coordinates for the photoluminescence emission spectra, it was determined that the produced phosphor may be used in light-emitting diodes. The TL glow curve was examined for various doping ion concentrations and durations of UV exposure levels, revealing a broad peak at 183 C. Using computerized glow curve deconvolution (CGCD), we calculated the kinetic parameters. 2024 by the authors.
Verma N.; Michalska-Doma?ska M.; Dubey V.; Ram T.; Kaur J.; Dubey N.; Aman S.; Manners O.; Saji J.
Multidisciplinary Digital Publishing Institute (MDPI)
ISSN: 14203049; PubMed ID: 39795164; CODEN: MOLEF
https://doi.org/10.3390/molecules30010108 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214452000&doi=10.3390%2fmolecules30010108&partnerID=40&md5=2dbee8caf91fbae296198ce6736dfec0
Verma N., Department of Physics, Government G.S.G.PG. College, Chhattisgarh, Balod, 491226, India, Department of Physics, Government Vishwanath Yadav Tamaskar Post Graduate Autonomous College, Chhattisgarh, Durg, 491001, India; Michalska-Doma?ska M., Institute of Optoelectronics, Military University of Technology, Warsaw, 00-908, Poland; Dubey V., Department of Physics, North-Eastern Hill University (NEHU), Meghalaya, Shillong, 793022, India; Ram T., Department of Physics, Government Vishwanath Yadav Tamaskar Post Graduate Autonomous College, Chhattisgarh, Durg, 491001, India; Kaur J., Department of Physics, Government Vishwanath Yadav Tamaskar Post Graduate Autonomous College, Chhattisgarh, Durg, 491001, India; Dubey N., Department of Physics, Government Vishwanath Yadav Tamaskar Post Graduate Autonomous College, Chhattisgarh, Durg, 491001, India; Aman S., Department of Physics, North-Eastern Hill University (NEHU), Meghalaya, Shillong, 793022, India; Manners O., Department of Physics, North-Eastern Hill University (NEHU), Meghalaya, Shillong, 793022, India; Saji J., Department of Science and Humanities, School of Engineering and Technology, CHRIST University, Karnataka, Bangalore, 560029, India
Effectiveness of Telemedicine in Disaster Relief Response Management
crisis management; dsaster; telemedicine; virtual healthcare
Due to climate change many parts of the worlds are prone to natural disasters. Thus, disaster management is the need of the hour. Effectiveness of Telemedicine in Disaster Relief response management shows the demand for telemedicine in the current time to tackle disasters. This paper investigates the history and evolution of telemedicine, their types, demand, challenges and its prospects. The proposed model, CrisisResponsive E-Health Recovery, places an approach on a concise way to manage disaster in the least time without giving up accuracy. The suggested model has the best response time as compared to the other existing model. Wide implementation of this model will result in better recovery rates in disasters. 2024 IEEE.
Verma P.; Alkhayyat A.; Mishra S.; Sharma V.
Verma P., KIIT Deemed to be University, School of Computer Engineering, Odisha, Bhubaneshwar, India; Alkhayyat A., Islamic University, College of Technical Engineering, Najaf, Iraq; Mishra S., Deemed to be University, Kalinga Institute of Industrial Technology, India; Sharma V., CHRIST University, Computer Science Department, India
Does Google Trend Affect Cryptocurrency? An Application of Panel Data Approach
Cryptocurrency; Google trends; Investor attention; Trading volume; Volatility
Cryptocurrency has emerged globally as the most profitable investment asset of the decade. The media exposure and reportage on cryptocurrency are frequent, and it seems that prices of cryptocurrencies could only rise higher. In today's digital world, any individual's first go-to information-seeking platform is the Google search engine. Thus, it is imperative to understand how Google's search trend affects an investable asset and its market as a whole. Researchers have explored varied sentiment measurement proxies such as news coverage, Facebook and Twitter posts, and, most importantly, Google searches. Numerous research studies show increasing interest in Google search volume and its predictive ability to understand investment returns and economic outcomes. In a behavioural finance context, the present research uses Pearson's correlation and panel regression to examine the association of cryptocurrency returns (Bitcoin, Ethereum, and Ripple) and their varied characteristics with the Google search intensity. The study's findings reveal that investors searching for information on Cryptocurrency online drive the price increase in cryptocurrency and push the trading volume up and increase the volatility of the cryptocurrency returns. Furthermore, investor sentiment has a statistically significant impact on cryptocurrencies' trading volume and weekly volatility in periods of high or greedy investor sentiment. The findings imply that the 'price pressure hypothesis' given by Barber and Odean (2008) as a stock market research finding is also present in the cryptocurrency market. 2023 SCMS Group of Educational Institutions. All rights reserved.
SCMS Journal of Indian Management, Vol-20, No. 2, pp. 124-132.
Verma R., Department of Financial Administration, Central University of Punjab, India; Sam S., School of Business and Management, Christ (Deemed-to-be-University), Bangalore, India; Sharma D., Department of Financial Administration, Central University of Punjab, Bhatinda, 151001, India
Cryptocurrency Market Anomaly: The Day-of-the-Week-Effect
Anomaly; Cryptocurrency; Day-of-the-week Effect; India; Market efficiency
Cryptocurrency has emerged as a fad amongst investors, academicians and policy-makers as a financial asset, making it important to empirically test the price behaviour of this emerging market. This paper is designed to investigate the presence of a well-known day-of-the-week effect in the young and emerging cryptocurrency market returns from August 2015 to March 2019. Using varied statistical techniques, this anomaly is examined for six cryptocurrencies (Bitcoin, Ethereum, Ripple, Litecoin, Stellar and Tether). The study applies both parametric and non-parametric statistical tests, i.e.,Bar Graph, Heat map, Students t-test, Analysis of Variance (ANOVA),regression analysis with dummy variables and the Kruskal Wallis Test. The studys findings show that no sample cryptocurrency returns exhibit the day-of-the-week effect phenomenon.The statistically insignificant result of the day-of-the-week effect in thecryptocurrency returns showcases the evidence of market efficiency in the cryptocurrency market. Indian Institute of Finance.
Finance India, Vol-37, No. 1, pp. 301-316.
Verma R., Central University of Punjab, Department of Financial Administration, Village Ghudda, District Bhatinda, Punjab, 151001, India; Sharma D., Central University of Punjab, Department of Financial Administration, Village Ghudda, District Bhatinda, Punjab, 151001, India; Sam S., CHRIST (Deemed to be University), School of Business and Management, Hosur Road, Karnataka, Bangalore, 560029, India
Research Potentials and Future Trends of Digital Sustainability
A once-in-a-century pandemic has left scars on countries already roiled by the increasingly erratic weather patterns induced by the climate crisis, wreaking havoc on sectors as diverse as food security, industrial production, and defence. Countries are torn between ameliorating COVID-19's devastating impact on education, health, and livelihoods of citizens, and finding their footing in a new global order. But from this ferment are emerging technologies, ideas, and solutions that will drive the world of the future; innovation and big ideas are building a vision that is bold and transformative. As the digital technologies evolve, its comprehensive impact on the environment needs to be considered to harness its full potential. Technology is transforming our world, but at the same time it brings new opportunities as well as challenges for sustainability. The unintended negative environmental impacts emerging from technologies are likely to be outweighed by potential of technology to solving it. Advances in technology, coupled with artificial intelligence, innovation in analytics, and data generation, is likely to have positive sustainability impacts. This chapter highlights the research potential and future trends of digital technologies for sustainability purposes. We intend to evaluate the implications of digital technology such as cloud computing, blockchain, Internet of Things, big data analytics, and artificial intelligence on pollution reduction, sustainable farming practices, conservation of biodiversity, and natural disaster management. Using real-life cases, we will investigate how digital technologies can be both an obstacle and enabler to global sustainability, which will enable devising appropriate digitalization strategies geared towards the achievement of sustainability. 2024 selection and editorial matter, Vandana Sharma, Balamurugan Balusamy, Munish Sabharwal, and Mariya Ouaissa.
Verma S.; Sharma V.; Shankar A.; Elngar A.A.; Kukreja V.
Sustainable Digital Technologies: Trends, Impacts, and Assessments, pp. 187-203.
Verma S., Amity University, Noida Campus, India; Sharma V., Computer Science Department CHRIST (Deemed to be University), Delhi-NCR, India; Shankar A., University of Warwick, United Kingdom; Elngar A.A., Faculty of Computers and Artifcial Intelligence, Beni-Suef University Beni-Suef, Egypt; Kukreja V.
Two-dimensional Ti3C2Tx MXenes as a catalyst support for the synthesis of 1,4-disubstituted-1,2,3-triazoles via azide-nitroalkene oxidative cycloaddition
1,2,3-triazoles; Cycloaddition; MXenes; Ti3C2Tx; Two-dimensional
Two-dimensional transition metal carbides/nitrides: MXenes have become a prime choice for researchers to exploit their outstanding properties for various applications in different fields majorly including energy, health and environment. Interestingly, there are no reports of utilizing 2D materials especially MXenes as a catalyst support for organic transformations. In the present study, we have utilized 2D Ti3C2Tx MXenes as a catalyst support for the synthesis of 1,4-disubstituted-1,2,3-triazoles via azide-nitroalkene cycloaddition for the first time. Reusability of Ti3C2Tx MXene catalyst up to five cycles without the loss of catalytic activity with appreciable yields of the product is the noteworthy feature of the present protocol. The synthesized 1,2,3-triazole derivatives possessing long alkyl chain upto fourteen carbon atoms on terminal nitrogen in triazole ring could become a good precursors to give a liquid crystalline properties beyond its biological properties. Nontoxic catalyst, catalyst reusability, broad substrate scope, and good yield are some of the salient features of the present protocol. 2023 Elsevier B.V.
Verma S.K.; Verma R.; Girish Y.R.; Verma S.; Pramoda K.; Vaishnav Y.; Saji J.; Kumar K.S.S.
Journal of Molecular Structure, Vol-1281
https://doi.org/10.1016/j.molstruc.2023.135145 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148545324&doi=10.1016%2fj.molstruc.2023.135145&partnerID=40&md5=e8ddc096ed29ad0e284ec0f189c86a3b
Verma S.K., School of Chemistry and Chemical Engineering, Yulin University, Yulin, 719000, China, Shaanxi Key Laboratory of Low Metamorphic Coal Clean Utilization, Yulin University, Yulin, 719000, China; Verma R., School of Chemistry and Chemical Engineering, Yulin University, Yulin, 719000, China, Shaanxi Key Laboratory of Low Metamorphic Coal Clean Utilization, Yulin University, Yulin, 719000, China; Girish Y.R., Centre for Research & Innovations, BGSIT, Adichunchanagiri University, B.G. Nagara, Mandya District, Karnataka, 571448, India; Verma S., University college of Pharmacy Raipur, Pt. Deendayal Upadhyay Memorial Health, Sciences and Aayush University of Chhattisgarh, Chhattisgarh, Raipur, 492010, India; Pramoda K., Centre for Nano and Material Sciences, Jain University, Jain Global Campus, Bangalore-, Ramanagaram, 562112, India; Vaishnav Y., Faculty of Pharmaceutical Sciences, Shri Shankaracharya Techincal Campus, Chattisgarh, Junwani Bhilai, 491001, India; Saji J., Department of Sciences and Humanities, School of Engineering and Technology, CHRIST (Deemed to be university), Bangalore, 560029, India; Kumar K.S.S., Department of Studies in Chemistry, University of Mysore, Manasagangotri, Mysuru, 570 006, India
Analyzing Financial Metrics: A Comparative Study of Salesforce and Microsoft Dynamics 365
etc; Financial Metrics; Moving Averages; Stock Market Analysis; Trading Volumes; Volatility
The purpose of the study is, therefore, in the integration of six variables consisting of closing prices, daily returns, volatility, stock prices together with moving averages, trading volumes, and their moving averages: how these measure interrelates and what impacts they have toward market sentiment. Correlation and regression tests were carried out to ascertain whether the obtained findings were reliable enough to present robust relationships among the metrics of concern. Therefore, the obtained findings have wider implications for investors, as well as their investing decisions. In the first place, these findings permit one to detail and analyze in an in-depth manner the stock shares' behavior overtime and variations of the market so that trends within trading activity could be unearthed and understood long-term effects. 2025 IEEE.
Verma, Adarsh Umang; Sharma, Vandana; Soran, Preety
IEEE International Conference on "Computational, Communication and Information Technology", ICCCIT 2025;pp.128-135
https://doi.org/10.1109/ICCCIT62592.2025.10927817 https://www.scopus.com/pages/publications/105002235382?origin=resultslist
Verma A.U., Christ University, Department of Computer Science, NCR, Delhi, India; Sharma V., Christ University, Department of Computer Science, NCR, Delhi, India; Soran P., Christ University, Department of Computer Science, NCR, Delhi, India
Technology, Automation, and the Future of Work for an Ageing Workforce
The chapter summarizes the studies on the collective impact of automation, AI, and ageing of work on older adults. It examines the trends in demographics, task change mechanisms, skills obsolescence, augmentation opportunities, human factors and ergonomic design, as well as policy and organizational response. Practice is exemplified by case snapshots in manufacturing, services, and health services. The chapter states that the situation will depend on design, training, and governance: where human-centered implementation and lifelong learning (including inclusivity) lead to the extension of productive working lives; otherwise, threats to equity and employability increase. 2026, IGI Global Scientific Publishing. All rights reserved.
Aging, Technology, and the Future of Work: Skills, Inclusion, and Innovation;pp.1-32
https://doi.org/10.4018/979-8-2600-1428-8.ch001 https://www.scopus.com/pages/publications/105039402685?origin=resultslist
Verma A., Christ University, NCR, Delhi, India; Sharma S., Christ University, NCR, Delhi, India