Biochemical and Rapid Paper Sensory Detection of Heavy Metals in Milk Based on Biosynthesized Silver Nanoparticles
Colorimetric sensor; Green synthesis; Heavy metals; Milk; Silver nanoparticles
Milk is an emulsion of proteins and fats in water that contributes to a nutritious diet and enhances our immune system. However, contamination of heavy metals in milk due to an increase in industrialization and urbanization can be a serious threat to human health. This study focused on the rapid detection of heavy metals particularly lead and mercury in milk using biochemical assays as well as paper-based colorimetric sensor based on green synthesized silver nanoparticles (AgNPs) from leaf extract of Hemigraphis colorata. Biochemical assays such as the lead chromate test and sodium hydroxide test were employed to detect lead and mercury in milk samples. The biogenic AgNPs were characterized by UVVis spectroscopy, scanning electron microscope, Fourier transform infrared spectroscopy, energy dispersive X-ray analysis (EDX) and X-ray diffraction. The unique properties of silver nanoparticles (AgNPs) like surface plasma resonance (SPR), large surface area and visible colour change upon aggregation when metal ions interact, enable them to detect heavy metals. This is a portable and affordable method of detection that ensures safer milk consumption and sustainable environmental practices. 2025 Asian Publication Corporation. All rights reserved.
Tom, Mia; Pradeep, Sheethal; Tomson, Majesh
Asian Journal of Chemistry;Volume;37;Issue;5;pp.1183-1190
https://doi.org/10.14233/ajchem.2025.33466 https://www.scopus.com/pages/publications/105014354685?origin=resultslist
Tom M., Department of Life Siences, School of Sciences, Christ University, Bengaluru, 560029, India; Pradeep S., Department of Life Siences, School of Sciences, Christ University, Bengaluru, 560029, India; Tomson M., Department of Life Siences, School of Sciences, Christ University, Bengaluru, 560029, India
Raman spectroscopy: an introduction, instrumentation, and its applications in polymer composites and nanocomposites
composites; molecular fingerprints; nanocomposites; nondestructive laser spectroscopy; Raman spectroscopy
Raman spectroscopy, a nondestructive technique based on molecular vibrations, offers insights into molecular structures and interactions through the inelastic scattering of monochromatic light. This method facilitates the identification of chemicals by using unique molecular fingerprints. The ability of this technique to analyze samples in situ, in any form, is very advantageous. Over the years, improvements have been made in the sensitivity and resolution of Raman spectroscopy in instrumentation and data analysis, which has broadened its range of applications in chemistry, biology, and materials research. Raman spectroscopy has become a vital tool for applied research and basic sciences. In the area of composites and nanocomposites, it offers tremendous possibilities, such as material identification, phase separation, and defect analysis, reinforcement agent characterization, stress and strain analysis, crystallinity and orientation, and micromechanical deformation. 2026 Elsevier Ltd. All rights reserved.
Tom, Milanta; Johnson, Rosemary; Shobiga, G.; Babu, Binny Maria; Thomas, Martin George; Maria, Hanna J.; Johny, Jeeshma; Thomas, Sabu
Raman Spectroscopy Applied to Polymer Composites and Nanocomposites;pp.1-22
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1016/B978-0-443-15989-3.00016-X https://www.scopus.com/pages/publications/105029207666?origin=resultslist
Tom M., School of Energy Materials, Mahatma Gandhi University, Kerala, Kottayam, India, University of South Brittany, UMR CNRS 6027, IRDL, Lorient, France; Johnson R., School of Energy Materials, Mahatma Gandhi University, Kerala, Kottayam, India; Shobiga G., School of Energy Materials, Mahatma Gandhi University, Kerala, Kottayam, India; Babu B.M., School of Energy Materials, Mahatma Gandhi University, Kerala, Kottayam, India; Thomas M.G., Department of Physics and Electronics, CHRIST (Deemed to Be University), Karnataka, Bengaluru, India; Maria H.J., School of Energy Materials, Mahatma Gandhi University, Kerala, Kottayam, India; Johny J., School of Energy Materials, Mahatma Gandhi University, Kerala, Kottayam, India; Thomas S., Department of Physics and Electronics, CHRIST (Deemed to Be University), Karnataka, Bengaluru, India, International and Inter University Centre for Nanoscience and Nanotechnology, School of Energy Materials, School of Nanoscience and Nanotechnology, School of Chemical Science, Mahatma Gandhi University, Kerala, Kottayam, India, Center of Excellence in Polymeric Materials for Medical Practice Devices, Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand
Identification of Dynamics of Tractor Chassis Structure through Ground Vibration Testing
Impulse test method; Modal analysis; Multi-body dynamic systems; Structural dynamics
This study investigates the vibrations arising from mass imbalance and variable inertia forces within dynamic systems, specifically focusing on agricultural tractors. Impulse test method is used to determine the modal characteristics of the tractors structure, including its frequencies, damping and mode shapes. The random responses of various components, such as the chassis, bonnet, muffler, seat and axle, were measured at engine speeds of 800, 1500 and 2500 rpm. The results indicate that the vibration amplitude depends on material properties and operational conditions, with the maximum random vibration response observed at the highest engine speed of 2500rpm. The overall root-mean-square acceleration (grms) was used to quantify vibration levels, revealing significant acceleration values of 2-4 grms across the entire tractor structure. Increased vibrations, particularly at high engine speeds, lead to amplified noise, dynamic stresses and accelerated wear on the chassis and subsystems, necessitating periodic maintenance and part replacements. The study also assessed the impact of road and field surface conditions on the vibration levels. The dynamic modes identified provide insights into potential improvements in tractor performance by implementing semiactive or active vibration control mechanisms utilizing smart materials without changing the existing engine dynamics. 2025. Carbon Magics Ltd.
Tom, Praise; Jangam, Sasidhar; Raja, S.; Medar, Mutturaj H.
International Journal of Vehicle Structures and Systems;Volume;17;Issue;5;pp.820-826
All Open Access; Hybrid Gold Open Access
https://doi.org/10.4273/ijvss.17.5.13 https://www.scopus.com/pages/publications/105030580650?origin=resultslist
Tom P., Dept. of Mech. and Automobile Engg., Christ University, Karnataka, Bengaluru, India; Jangam S., Dept. of Mech. and Automobile Engg., Christ University, Karnataka, Bengaluru, India; Raja S., Structural Tech. Division, CSIR National Aerospace Lab., Karnataka, Bengaluru, India; Medar M.H., Structural Tech. Division, CSIR National Aerospace Lab., Karnataka, Bengaluru, India
Some analytical and numerical solutions of nonlinear parabolic partial differential equations /
Some analytical and numerical solutions of nonlinear parabolic partial differential equations
Impact of Russia-Ukraine crisis on international trade vis-a-vis energy: A critical analysis /
The Russia-Ukraine crisis has had a significant impact on international trade vis-a-vis energy. The crisis has led to increased economic, political, and military tensions between the two countries, creating a ripple effect that has been felt around the world. The conflict has resulted in an increase in energy prices, volatile stock markets, and disrupted global financial flows. Additionally, it has created a greater sense of geopolitical instability, as the crisis has caused NATO to increase its presence in the region. Furthermore, it has led to increased embargoes against Russia, limiting their ability to trade with other countries. All of these impacts have had a ripple effect across the globe, negatively affecting economies and increasing geopolitical tensions. The Russia-Ukraine crisis has demonstrated the fragility of the global economy and the need for effective diplomatic solutions to be found in order to prevent further destabilizing effects.
Circular Economy in the Construction Industry: Promoting Environmental Sustainability in the Context of SDG 12
The construction industry in particular is experiencing a time of fast expansion as a result of the circular economy (CE), which is causing firms all over the globe to go through this transformation. The purpose of this research is to investigate the practise of incorporating CE principles into the construction industry, with a particular emphasis on the advancement of environmentally sustainable activities. The purpose is to lessen the negative effect that it has on the environment, which is the objective of SDG 12, which is being carried out simultaneously. We perform an analysis of the most recent developments, obstacles, and possibilities in the construction industry in order to assess the ways in which CE practices have the potential to bring about a decrease in the amount of waste that is produced, the preservation of resources, and a lessening of the effect on the environment. We use a mixed-methods approach, which includes data analysis, case studies, and interviews, in order to give insights on the progress that the construction sector has accomplished towards CE. 2026 by IGI Global Scientific Publishing.
Tomer, Abhinav; Singh, Rupendra; Mathew, Jane Eyre; Deshwal, Vishakha; Gautam, Jitendra Kumar
Legal Frameworks for Sustainable Global Business;pp.295-320
https://doi.org/10.4018/979-8-3373-4192-7.ch011 https://www.scopus.com/pages/publications/105027495532?origin=resultslist
Tomer A., Christ University, Delhi, India; Singh R., Galgotias University, India; Mathew J.E., Christ University, Delhi, India; Deshwal V., Mody University of Science and Technology, India; Gautam J.K., Amity University, Gwalior, India
AI-Driven Lead Scoring: Enhancing Real Estate Decisions with Predictive Analytics
and Automated Lead Scoring Systems; Feedback Loops; Lead Optimization; Lead Scoring; Machine Learning; MLOps; Natural Language Processing
Lead optimization remains underutilized in customer acquisition, with businesses often focusing on new models rather than refining existing processes. Many overlook automation, real-time data, and feedback loops that enhance insight into lead behavior. Automated optimization continuously improves lead scoring by fine-tuning models over time. Current approaches rely on basic lead scoring without real-time data integration or continuous updates. This research focuses on machine learning-driven lead optimization to improve scoring accuracy and personalized communication. We propose an AI-enhanced system that integrates CRM data with predictive models using ensemble techniques like Random Forest and XGBoost. Our approach achieves high accuracy in property hotspot and ROI prediction, with R2 values up to 0.99. However, a 5% uncertainty exists, requiring carefully generated synthetic datasets. This methodology improves lead prioritization, decision-making and data-driven strategies, ultimately increasing conversion rates and revenue growth. 2025 IEEE.
Tomer, Maansi; Siddalingappa, Rashmi; Jayapriya, J.
2025 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2025;
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/CONECCT65861.2025.11306700 https://www.scopus.com/pages/publications/105032695213?origin=resultslist
Tomer M., Christ University, Department of Computer Science, Karnataka, Bangalore, 560073, India; Siddalingappa R., Christ University, Department of Computer Science, Karnataka, Bangalore, 560073, India; Jayapriya J., Christ University, Department of Computer Science, Karnataka, Bangalore, 560073, India
Phyto- and zoomass-derived nanostructured carbon as efficient catalysts for oxygen reduction reaction in fuel cells: a review
Abstract: The oxygen reduction reaction (ORR) plays a pivotal role in several energy storage and conversion technologies, including metal-air batteries, microbial fuel cells, and low-temperature hydrogen and alcohol fuel cells. Fuel cells, in particular, have gained significant traction as a feasible alternative energy source due to their efficiency, cleanliness, adaptability, and ability to reuse exhaust heat. However, the complex nature of ORR requires highly efficient electrocatalysts for optimal fuel cell performance. While Pt-based electrocatalysts are widely regarded as the most suitable for both the cathode and anode in fuel cells, their high cost, scarcity, and susceptibility to fuel crossover have driven the search for alternative ORR catalysts. In this context, carbon materials have emerged as promising candidates due to their low cost, long-term stability, and strong electrocatalytic activity. Recent advancements in biomass-derived carbon nanostructures align with the global push for sustainable energy and a pollution-free environment. This review examines carbon structures derived from the carbonization of plant and animal biomass and evaluates their performance as noble metal supports, non-noble metal electrocatalysts, and metal-free electrocatalysts for ORR. Graphical abstract: (Figure presented.) The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
Toms S.; S Nair A.; Parnika P.; Mathew E.M.; Jafri R.I.
Journal of Materials Science, Vol-59, No. 46, pp. 21191-21221.
Toms S., Department of Physics & amp; Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; S Nair A., Department of Physics & amp; Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Parnika P., Department of Physics & amp; Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Mathew E.M., Department of Physics & amp; Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Jafri R.I., Department of Physics & amp; Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India
Cobalt Embedded N-Doped Carbon Spheres Derived From Cassava Starch for Enhanced Oxygen Reduction Reaction in Alkaline Medium
biomass-derived carbon; carbon microspheres; non-noble metal catalysts; oxygen reduction reaction
Cathodic oxygen reduction reaction (ORR) is essential for fuel cells and metal-air batteries. The sluggishness of ORR necessitates the synthesis of effective and durable catalysts to intensify the reaction process without compromising cost-effectiveness. Here, cobalt and cobalt oxides were embedded on N-doped carbon microspheres (Co?N?C/CS) using cassava starch as a carbon source. The catalyst exhibits a surface area of 388.73 m2 g?1, with a predominantly mesoporous texture. The presence of the Co?N bond, along with pyridinic and graphitic nitrogen, contributes to the ORR activity by enhancing the density of active sites. The catalyst achieves a limiting current density of ?4.64mA cm?2 with an onset potential of 0.91V (vs RHE). The calculated electron transfer value of 3.74 indicates the 4e- pathway ORR mechanism supported by Co?N?C/CS. Moreover, the catalyst demonstrates a high stability in 0.1M KOH with 99% of current retention after 14000 s, exceeding commercial Pt/C. Relatively high methanol tolerance was also observed for Co?N?C/CS by the addition of 3M methanol in the electrolyte during current-time response, highlighting its suitability as a cathode catalyst for direct methanol fuel cells (DMFC). 2026 Wiley-VCH GmbH.
Toms, Snigdha; Jafri R, Imran; Vedarajan, Raman; Habibuddin, Shaik
Particle and Particle Systems Characterization;Volume;43;Issue;4;Article No.;e70088;
https://doi.org/10.1002/ppsc.70088 https://www.scopus.com/pages/publications/105035585918?origin=resultslist
Toms S., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, India; Jafri R I., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, India; Vedarajan R., Centre for Fuel Cell Technology, International Advanced Research Centre for Powder Metallurgy and New Materials (ARCI), Chennai, India; Habibuddin S., Department of Physics, School of Applied Sciences and Humanities, Vignan's Foundation for Science, Technology and Research, Guntur, India
Functional response, host stage preference and development of Rhynocoris fuscipes (Fab.) (Heteroptera: Reduviidae) for two cotton pests
Biocontrol; Comparative biology, life table; Cotton pests; Rhynocoris fuscipes, Runctional response
Considering the indispensable role of reduviid predators in ecofriendly pest management programme, the relationship between a predatory reduviid, Rhynocoris fuscipes, and three prey species viz., red cotton bug Dysdercus koenigii Fab. (Heteroptera: Pyrrhocoridae), cotton mealybug Phenacoccus solenopsis (Tinsley) (Hemiptera: Pseudococcidae) and rice flour moth Corcyra cephalonica Stainton (Lepidoptera: Pyralidae), were scrutinized and studied to determine the influence of host species on biology, host stage preference and biological control efficiency under laboratory conditions. Rhynocoris fuscipes completed nymphal stage in 41 days when feeding on C. cephalonica, 45 on D. koenigii, and 50 days on P. solenopsis. Adult longevity, fecundity and egg viability were higher in C. cephalonica fed category and the lowest on P. solenopsis. Life table parameters were in favor of C. cephalonica. Third instars of D. koenigii were favored by third and fourth instars of the predator. Fifth instars and adults of the predator had chosen fourth and fifth instars of D. koenigii, respectively. All instars of predator preyed on adults of P. solenopsis. It is observed that the reduviid responded to increased D. koenigii and P. solenopsis density with type II functional response. Positive interactions distinctly imply that there is a salutary effect on the pest as well. 2021, Crop Protection Research Centre. All rights reserved.
Journal of Biopesticides, Vol-14, No. 1, pp. 12-21.
https://doi.org/10.57182/jbiopestic.14.1.12-21 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123265811&doi=10.57182%2fjbiopestic.14.1.12-21&partnerID=40&md5=dbdcc01046a42bba4479f9046b2e598d
Tomson M., Department of Life Sciences, CHRIST University, Hosur Road, Karnataka, Bangalore, 560029, India
Entomotoxic proteins of Beauveria bassiana Bals. (Vuil.) and their virulence against two cotton insect pests
Beauveria bassiana; Characterization; Entomotoxin; Insecticidal activity
Entomopathogenic fungi are widely used as biocontrol agents against several agricultural pests. Among them, Beauveria bassiana is considered the important one against insect and other arthropod pests. The entomotoxic proteins of B. bassiana were extracted by Sephadex G-25 column, and fractionated using HPLC (BBI, BBII and BBIII) and tested against two hemipteran insect pests i.e., Dysdercus cingulatus Fab. and Phenacoccus solenopsis Tinsely (Hemiptera: Pseudococcidae). Results indicated that protein content was higher in fraction BBII than BBI and BBIII. The vibration frequency in FT-IR obtained with a range of 1650 to 1580 cm?1. Bioassays of fractions (I, II and III) reveal that BBII was highly virulent against third nymphal instar of D. cingulatus (LC50 = 800.2 ppm) and adults of P. solenopsis adult (LC50 = 713.3 ppm). Considering the high virulence of BBII subjected to SDS-PAGE, HPLC and MALDI-TOF analyses. Analyses reveals the presence of 174 kDa and designated as BBF2. These results concluded that the entomotoxic protein of B. bassiana can be utilized for management of these investigated hemipreran pests. Further investigations are necessary for the field application of this entomotoxin against these pests or other insect pests. These results also could be helpful for establishing novel biotechnological uses for this fungus. 2021 The Authors
Tomson M.; Sahayaraj K.; Sayed S.; Elarnaouty S.-A.; Petchidurai G.
Journal of King Saud University - Science, Vol-33, No. 8
https://doi.org/10.1016/j.jksus.2021.101595 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115353899&doi=10.1016%2fj.jksus.2021.101595&partnerID=40&md5=84b035c145a903806b57555419ee7dd5
Tomson M., Crop Protection Research Centre, Department of Zoology, St. Xavier's College, Palayamkottai, Tirunelveli, 627002, Tamil Nadu, India, Department of Life Sciences, Christ University, Hosur Road, Bangalore, 560029, Karnataka, India; Sahayaraj K., Crop Protection Research Centre, Department of Zoology, St. Xavier's College, Palayamkottai, Tirunelveli, 627002, Tamil Nadu, India; Sayed S., Department of Science and Technology, University College-Ranyah, Taif University, B.O. Box 11099, Taif, 21944, Saudi Arabia; Elarnaouty S.-A., Department of Economic Entomology and Pesticides, Faculty of Agriculture, Cairo University, Giza, 12613, Egypt; Petchidurai G., Crop Protection Research Centre, Department of Zoology, St. Xavier's College, Palayamkottai, Tirunelveli, 627002, Tamil Nadu, India
Power quality improvement strategy for non-linear load in single phase system
harmonic; non-linear load; shunt active filter
Widespread use of non-linear loads in today's world scenario, increased the harmonic current injection into the grid. The harmonic current play a vital role in deteriorating the power quality of the grid. The non-linear loads may be either, single phase or a Three phase loads. In this paper, a control strategy for single phase shunt active filter is discussed, in mitigating the harmonics flowing into the grid. The extraction of reference signal of shunt active filter is designed, using instantaneous reactive power theory. Here load is considered as diode rectifier which is feeding a resistive inductive load. A complete control strategy and analysis is done in MATLAB/Simulink environment. 2016 IEEE.
International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016, pp. 3489-3492.
https://doi.org/10.1109/ICEEOT.2016.7755353 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006757124&doi=10.1109%2fICEEOT.2016.7755353&partnerID=40&md5=48f5d642576c6982c2dde93a74c5eaeb
Tomy G., Electrical and Electronic Engineering Department, Christ University Faculty of Engineering, Bangalore, India; Menon D., Electrical and Electronic Engineering Department, Christ University Faculty of Engineering, Bangalore, India
The Truncated Modified Lindley Generated Family of Distributions
In this paper, two contributions to the modified Lindley distribution are provided. First, we bend the truncation scheme to this model to introduce a new distribution on the interval (0, 1). Theory and practice are provided. In particular, we show that it can be an interesting alternative to the analogous truncated exponential and Lindley distributions. Then, we employ this truncated distribution to develop a new generalized family of distributions. We examine its main theoretical properties, and show how it can be applied quite efficiently to analyse various data sets. 2023 Mir Masoom Ali, Irfan Ali, Haitham M. Yousof and Mohamed Ibrahim.
G Families of Probability Distributions: Theory and Practices, pp. 111-120.
https://doi.org/10.1201/9781003232193-7 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158938985&doi=10.1201%2f9781003232193-7&partnerID=40&md5=0407c8a4ddb12ed89cd8ea800bb6fa15
Tomy L., Department of Statistics, Deva Matha College, Kerala, Kuravilangad, 686633, India; Chesneau C., Universitde Caen, LMNO, Campus II, Science 3, Caen, 14032, France; Gillariose J., Department of Statistics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India
Role of infinity in shaping financial reality from a quantum finance perspective: A bibliometric analysis on scopus
In this literature survey, we seek after the manner in which the idea of boundlessness adjusts the universe of money. Utilizing bibliometric information of around 37 examination articles from the Scopus data set alongside different books on Quantum finance and the development of money, this survey reveals insight into the main writers, nations, organizations, outlets, articles, and subjects of different logical ways to deal with get into the quantum domain of money involving Vastness as the center base that gives us numerous ways of characterizing our ongoing economy and how it can change and adjust to the ongoing situation and how we can manage future possibilities of reforming Money in general. Discoveries of this audit recommend that there is a roundabout connection among money and boundlessness. Future exploration headings for The Job of Endlessness in Molding Monetary Reality finish up this survey. 2025, IGI Global Scientific Publishing. All rights reserved.
Toney, Miriam; Nandhita, V.V.; Crasta, Ishaun Jason; Ramkumar, Gowtham
Exploring the Fusion of Quantum Computing and Machine Learning;pp.227-259
https://doi.org/10.4018/979-8-3693-6225-9.ch010 https://www.scopus.com/pages/publications/105004864237?origin=resultslist
Toney M., Christ University, India; Nandhita V.V., Christ University, India; Crasta I.J., Christ University, India; Ramkumar G., Christ University, India
The Empirical Analysis of Machine Learning Approaches for Enhancing the Cyber security for better Quality
Cyber Security; Cyber-attack; Data; Information; Machine Learning (ML); Methods; Techniques; Technologies
In recent years, there have been significant advances in both technologies tactics so in area of cyber security, with (ML) machine learning at the forefront of the transformation. It is the ability to obtain security event characteristics or findings from cyber security information and then develop a matching information model that will allow a security system to become autonomous and smart. The widespread proliferation and the usage of Web and Smartphone applications has increased the size of cyber world as a consequence. When a computerized assault takes too long to complete, the internet becomes vulnerable. Security measures may be improved by recognizing and reacting to cyber-attacks, thanks to cyber security techniques. Security measures that were previously used aren't any longer appropriate because scammers have learned how to evade them. It is getting more difficult to detect formerly unknown and unpredictable security breaches, which are growing more widespread. Cyber security is becoming more dependent on machine learning (ML) techniques. Machine learning algorithms' dependability remains a major challenge, given its continual advancement. It is possible to find malicious hackers in internet that are ready to exploit ML defects that have been made public. A thorough review of machine learning techniques safeguarding cyberspace against attacks is provided in this paper, which presents a literature review on Cyber security using machine learning methods, such as vulnerability scanning, spam filtering, or threat detection on desktop networks as well as smart phone networks. Among other things, this paper provides brief descriptions of each machine-learning technique and security info, essential machine-learning technology, and evaluation parameters for a classification method. 2022 IEEE.
Tongkachok K.; Samata V.; Nethravathi K.; Nirmal M.; Mohan L.R.; Khan Z.Z.
Proceedings of 2nd International Conference on Innovative Practices in Technology and Management, ICIPTM 2022, pp. 95-100.
Tongkachok K., Thaksin University, Faculty Of Law, Thailand; Samata V., Dk Govt College (A), Lecturer In Computer Applications, A.P, Nellore, India; Nethravathi K., Jain (Deemed-to-be University), BMS-FS, Bangalore, India; Nirmal M., Pravara Rural Engineering College, Maharashtra, Loni, India; Mohan L.R., Christ (Deemed To Be University), Computer Science And Engineering, Bangalore, Karnataka, India; Khan Z.Z., Mumbai University, Anjuman I Islam Kalsekar Technical Campus, Maharashtra, Mumbai, India
A critical analysis of the complexity of leadership in zimbabwean anglican churches
This study examines the leadership controversy in the Anglican Churches of newlineZimbabwe and evaluates the extent to which the exigencies of power impacted upon this newlineconflict. This study is necessitated by the fact that the Anglican Church Province of Central Africa has been affected by an unprecedented conflict hinged on leadership wrangle and a crisis of legitimacy. This has resulted in the excommunication of Bishop of the diocese of Harare who had deliberately withdrawn from the Anglican international communion to form the province of Zimbabwe. Key to this dispute was the allegation of gay marriages presumably blessed by the Church of the Province of Central Africa (CPCA) although it appears that there were other multifarious factors behind the controversy. Given this background, this study seeks to present a critical exploration of the cardinal factors at play within the context of the Episcopalian polity and try to link church governance and ecclesiology to the context of the Anglican conflict in Zimbabwe. It should be appreciated that, as the world is setting into the 21st Century and Globalization becomes inescapable, a new breed of leaders and leadership paradigm is needed in Christian organizations. There is newlinea general consensus among scholars that the term leadership can be defined from various newlinevantage points. But for the purposes of this study, the term leadership designates the art of inducing competence, an instrument of goal achievement, a form of persuasion. Leadership newlineis the most important factor determining the future of any organization. The style of newlineleadership in a religious organization is a critical determinant in enhancing the stability and growth of the church. To this end, leadership has to do with the manner and approach of providing direction, implementing plans for institutional development, staff development progress in pursuit of organizational excellence.
A critical analysis of the complexity of leadership in zimbabwean anglican churches /
Relationship between Emotional Intelligence andWork - Life Balance among Academicians in Pre University colleges
Emotional Intelligence has always been an encouraging topic for the researchers to dwell on. For a very long time, it was always assessed that Intelligence Quotient (IQ) was a key factor for the determination of success in life. Emotional Intelligence also involves acknowledging the emotions of another individual and how effectively it does coincide with traditional intelligence. The research work is dealt to look at employees and the effects of emotional intelligence and thus looking at the ways in which effective channels are used to channelize the emotions that people go through. Work life balance is a perception with various significances in the current world and implications in the professional and personal life. Work life balance is defined as the stability that the individual requires between period assigned for work and other personal aspects of life. Basis of the study is to develop modules or techniques for training programmes to enhance emotional intelligence and work life balance since there are very few literatures and limited studies conducted before. The study aims at relationship between emotional intelligence and work life balance among academicians in PU colleges. The research study also looks into how experience of the academicians relates to their emotional intelligence and work life balance. Descriptive research design was applied for the study. The essential data for the research was gathered through the standardized questionnaires. A sample of 200 academicians participated in the research. The emotional intelligence test result shows the academicians from different backgrounds and were high on regulation of emotion in the self, acknowledging the emotions of another individual thus providing and shaping the students with more knowledge and insights. From the statistical result from Pearson???s correlation reveals, there is increase in work life balance with the increase in emotional intelligence. The statistical result also accepts the hypothesis and found, there is a moderate positive correlation between emotional intelligence and work life balance. From the statistical result from ANOVA, results showed that there was no significant effect of total years of experience on work life balance. It has been also found from the ANOVA test that, there was an analysis conducted to compare the influence of total years of experience in the current organization on emotional intelligence and found there was a significant effect of total years of experience in the current organization on emotional intelligence. Outcome defines about the emotional intelligence and work life balance among academicians need more attention since they are catering, managing and shaping the students.
Spiritual Dispositional Coping and Health Hardiness on Stress and Related Illnesses: Aftermath COVID-19
The COVID-19 pandemic has caused an array of challenges that have taken a significant toll on psychological well-being and health. Public fear-mongering, hopelessness, and uncertainty have contributed to many negative emotions during the pandemic. The psychological ramifications of these emotions include stress, anxiety, and depression. The extreme stress that people experienced caused mental conditions like post-pandemic stress disorder. Literature suggests there is also an increased susceptibility to stress-related chronic illness. Another major concern post-coronavirus contraction is long COVID (post-acute sequelae of SARS-CoV-2 infection, or PASC), which further leads to complications impacting physical, cognitive, and mental health dimensions and multiple organ system syndromes. As a result of this predicament, there is an increased reliance on various complementary and alternative approaches and interventions for engaging in health-promoting behaviours. The chapter focuses on how spiritual dispositional coping and health hardiness can be used as health protective measures. It also focuses on various strategies that spiritual dispositional coping and health hardiness offer for overall well-being and better adaptation to post-pandemic complications. Therefore, this chapter aims to understand the pandemics stress-related health consequences, re-affirm the relationship between health hardiness and spiritual dispositions, and demonstrate how combining these strategies will provide effective coping methods. 2025 selection and editorial matter, Dr Uzaina, Dr Rajesh Verma with Dr Ruchi Pandey; individual chapters, the contributors.
The Psychological After-Effects of Covid: Post-Pandemic Complications and Interventions in India, pp. 108-121.
Toor I.K., Department of Psychology, Christ (Deemed to be University), India; Rastogi K., Department of Psychology, CHRIST (Deemed to be University), Delhi, NCR, India