Interactions between emotional and spiritual intelligence and their effects on employee performance
The association among worker behavior, spiritual intelligence, emotional intelligence, and system effectiveness is explained by this study. Understanding how others communicate and being aware of how one's own emotions affect others around you are all characteristics of emotional intelligence. Spiritual intelligence, which is a higher level of intelligence, reveals one's actual attributes and abilities. As company's most asset, the effectiveness of employee behavior has a significant impact on the company's ability to survive and thrive. In contrast to other facets of human conduct, employee conduct is distinguished by more formal behavior. This study aims to determine whether those with emotional and spiritual intelligence perform well at work. This research also aims to comprehend the behavior of emotionally intelligent and spiritually inclined people at work. Attempts are made in this study to ascertain whether higher levels of spiritual and emotional intelligence might boost the efficacy of these abilities. In this study, productivity at work is the dependent variable, whereas emotional intelligence and spiritual intelligence are independent variables. The parameters that can assess the variables were established using a literature review and a few common surveys. An organized survey that considers the variables is developed to gather information from the working class. To determine the link between the variables chosen for this study, the gathered data was analyzed using statistical approaches such as partial correlation and correlation. 2024 Author(s).
Winster D.; Ramakrishnan S.; Veluthakkal J.; Manoharan G.; Purushottamashtikar S.; Selvaraj F.
AIP Conference Proceedings, Vol-2971, No. 1
https://doi.org/10.1063/5.0195736 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196198514&doi=10.1063%2f5.0195736&partnerID=40&md5=c27cf46b616210f97e0bac6c92df3f33
Winster D., Christ University, Bemgaluru, Kengeri, India; Ramakrishnan S., Amrita Vishwa Vidhyapeetham, Kerala, Amritapuri, India; Veluthakkal J., Vignana Jyothi Institute of Management, Hyderabad, India; Manoharan G., SR University, Telangana, Warangal, India; Purushottamashtikar S., SR University, Telangana, Warangal, India; Selvaraj F., Vignana Jyothi Institute of Management, Hyderabad, India
Behavioral Time Management Analysis: Clustering Productivity Patterns using K-Means
Behavioral Analysis; Digital Tools; K-Means Clustering; Machine Learning; Productivity Patterns; Time Management
This paper focuses on investigating the efficiency profile through the three-time management behaviors using the K-Means clustering method. In the case of the study, the data gathered from digital time management tools for 100 participants for one month was preprocessed to distil features surrounding productivity, including daily working hours, focus time, break duration and frequency, and task completion ratios. The four groups that were agreed upon through K-Means clustering differed in terms of time management behaviours and productivity. Insert table 6 IT cluster 1 worked long hours with high productivity owing to the fact that they are IT professionals but had a tendency of multitasking. Employment Cluster 2 (marketing and sales professionals) achieved both personal and work-related self-care but identified the need for more concentrated time per task. As for the differences in the breaks, it can be noted that cluster 3 (management and administration personnel) had significantly higher task completion times and focus times, but their break intervals needed to be optimized. Hypothesis 2 stated that there will be many hours of leisure for Cluster 4 (students and interns) imply that their work hours should be adjusted to several small tasks a day, and their rates of task completion should be increased. From the study, it is possible to stress that time management should be considered as an individual activity that requires specific approaches to the given subject area and to the learner in particular. Specifically, demographic profiling identified the roles that age and occupational status may play in averting or exacerbating productivity deficiencies: insights that could be actionable in specific scenarios. The implications of this research offer practical insights into individual and organizational time management, as the usability aspects of machine learning techniques were considered and their applicability established, which further extends the scope of time management by revealing patterns and improving time management plans and practices. 2024 IEEE.
Winster Praveenraj D.D.; Habelalmateen M.I.; Shrivastava A.; Kaur A.; Valarmathy A.S.; Patnaik C.P.
2024 IEEE International Conference on Communication, Computing and Signal Processing, IICCCS 2024
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/IICCCS61609.2024.10763887 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214355456&doi=10.1109%2fIICCCS61609.2024.10763887&partnerID=40&md5=15af96345e7f4fcd27fac464dd7a682a
Winster Praveenraj D.D., Christ University, School of Business and Management, Bangalore, India; Habelalmateen M.I., The Islamic University, College Of Technical Engineering, Department Of Computers Techniques Engineering, Najaf, Iraq, The Islamic University Of Al Diwaniyah, College Of Technical Engineering, Department Of Computers Techniques Engineering, Al Diwaniyah, Iraq; Shrivastava A., Ies University, Ies Institute of Technology and Management, Department of Computer Science & Engineering, M.P., Bhopal, India; Kaur A., Chandigarh Group of Colleges, Chandigarh Engineering College, Department of Computer Application, Punjab, Jhanjeri, Mohali, 140307, India; Valarmathy A.S., Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, India; Patnaik C.P., Aditya Institute of Technology and Management, Department of Mba, Andhra Pradesh, Tekkali, India
Optimal allocation algorithm of marketing resources based on improved random forest
allocation algorithm; Improved random forest; marketing; resource optimization
Random Forest algorithm is an ensemble learning algorithm that classifies data by combining multiple decision trees. It has a wide range of applications and is not easy to overfit. It has a wide range of applications in medicine, bioinformatics, management and other fields. By studying the Cobb-Douglas sales function, it is found that it can only analyze the static allocation of marketing resources, but cannot describe the dynamic changes. Enterprise marketing resource management runs through the enterprise management from beginning to end. The research on marketing resource management is helpful for enterprises to grasp and control the whole process of marketing resource management from the overall and overall level, and has important theoretical value and reality for enterprise marketing management activities. significance. In the vast majority of enterprises in our country, the size of advertising promotion expenses and the number of salesmen is often determined based on the experience and subjective assumptions of decision makers, so it is difficult to say that they are optimized. This paper starts with determining the optimal advertising budget and the number of salespeople, and conducts applied research on the optimal allocation of marketing resources. 2023 IEEE.
Winster Praveenraj D.D.; Hussein L.; Tomar R.S.; Margarat G.S.; Vimala M.; Krishnaraj V.
2023 2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023, pp. 809-813.
https://doi.org/10.1109/SmartTechCon57526.2023.10391496 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184795494&doi=10.1109%2fSmartTechCon57526.2023.10391496&partnerID=40&md5=700778fe838e647cd6c374a5aadf4642
Winster Praveenraj D.D., School of Business and Management, Christ (Deemed to be University), Bangalore, India; Hussein L., College of Technical Engineering, The Islamic University, Najaf, Iraq; Tomar R.S., Department of Computer Science & Engineering, IES College Of Technology, MP, Bhopal, 462044, India; Margarat G.S., New Prince Shri Bhavani College Of Engineering And Technology, India; Vimala M., Department of Electronics and Communication Engineering, P.S.R Engineering College, Tamilnadu, India; Krishnaraj V., Department of Mathematics, Sona College of Technology, Tamilnadu, Salem, India
Machine Learning Integration for Enhanced Solar Power Generation Forecasting
This paper reviews the advancements in machine learning techniques for enhanced solar power generation forecasting. Solar energy, a potent alternative to traditional energy sources, is inherently intermittent due to its weather-dependent nature. Accurate forecasting of photovoltaic power generation (PVPG) is paramount for the stability and reliability of power systems. The review delves into a deep learning framework that leverages the long short-term memory (LSTM) network for precise PVPG forecasting. A novel approach, the physics-constrained LSTM (PCLSTM), is introduced, addressing the limitations of conventional machine learning algorithms that rely heavily on vast data. The PC-LSTM model showcases superior forecasting capabilities, especially with sparse data, outperforming standard LSTM and other traditional methods. Furthermore, the paper examines a comprehensive study from Morocco, comparing six machine learning algorithms for solar energy production forecasting. The study underscores the Artificial Neural Network (ANN) as the most effective predictive model, offering optimal parameters for real-world applications. Such advancements not only bolster the accuracy of solar energy forecasting but also pave the way for sustainable energy solutions, emphasizing the integration of these findings in practical applications like predictive maintenance of PV power plants. The Authors, published by EDP Sciences, 2024.
Winster Praveenraj D.D.; Madeswaran A.; Pastariya R.; Sharma D.; Abootharmahmoodshakir K.; Dhablia A.
https://doi.org/10.1051/e3sconf/202454004007 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198115352&doi=10.1051%2fe3sconf%2f202454004007&partnerID=40&md5=b6a50a821b2979d6a981e5a9f686fe9e
Winster Praveenraj D.D., School of Business and Management, CHRIST (Deemed to Be University), Bangalore Yeshwantpur Campus, India; Madeswaran A., Scool of Business and Management, CHRIST University, Yeshwanthpur Campus, Bengaluru, India; Pastariya R., Department of Computer Science and Engineering, IES College of Technology, IES University, Madhya Pradesh, Bhopal, 462044, India; Sharma D., Department of Management Uttaranchal Institute of Management, Uttaranchal University, Dehradun, 248007, India; Abootharmahmoodshakir K., The Islamic University, Najaf, Iraq; Dhablia A., Altimetrik India Pvt Ltd, Maharashtra, Pune, India
Sustainable human resource management and job satisfactionUnlocking the power of organizational identification: A cross-cultural perspective from 54 countries
individualismcollectivism; job satisfaction; organizational identification; sustainable HRM practices
Sustainable human resource management is gaining importance in organizations due to its role in developing a sustainable work environment and well-being. This paper discusses the relationship between employee perceptions of sustainable human resource management and job satisfaction in 54 countries. We propose that sustainable HRM is positively associated with job satisfaction but that this relationship is moderated by employees' identification with the organization and country-level individualismcollectivism. Thus, we suggest national culture functions as a second-level moderator of the relationship of sustainable HRM with organizational identification on job satisfaction. Findings from the multi-level analyses using data from 14,502 employees nested within 54 countries provided support for our hypotheses, namely that employee perceptions of sustainable HRM were positively associated with job satisfaction and that this relationship was more pronounced for employees with lower levels compared to higher levels of organizational identification in individualistic rather than collectivistic countries. These findings bear important implications for both theory and practice. 2024 ERP Environment and John Wiley & Sons Ltd.
Wojtczuk-Turek A.; Turek D.; Edgar F.; Klein H.J.; Bosak J.; Okay-Somerville B.; Fu N.; Raeder S.; Jurek P.; Lupina-Wegener A.; Dvorakova Z.; Gutirez-Crocco F.; Kekkonen A.; Leiva P.I.; Myna?ovL.; Schez-Apelliz M.; Shafique I.; Al-Romeedy B.S.; Wee S.; Dunlop P.; Stinglhamber F.; Caesens G.; Caldana A.; Sticca M.G.; Vasilev V.; Lauzier M.; Desjardins G.; Zhang G.; Tan L.; Galvez-Sierra L.B.; Pez E.R.; Goi? S.; Tadi? I.; CharvovD.; Botek M.; Jensen D.H.; Rojas D.L.; Pazmay Ramos S.G.; Masso P.; Jlstr M.; Gillet N.; Huyghebaert-Zouaghi T.; Robakidze M.; Martskvishvili K.; Dorrough A.R.; Jekel M.; Hfner C.; Sevincer A.T.; Kekesi E.K.; Agyemang C.B.; Apospori E.; Jose J.; Salendu A.; Etikariena A.; Susianto H.; Sjabadhyni B.; Malayeri S.; Seydi M.; Kinahan M.; Lisak A.; Mariani M.G.; Salvati M.; Moscatelli S.; Crapolicchio E.; Manzi C.; Shimazu A.; Ikeda H.; ukauskien? R.; Kaniuonyt? G.; Catania G.; Lauri M.A.; Gez S.M.M.; Fernando D.; Veth K.; Dhakal S.; Podgorodnichenko N.; Lawal A.; Duhovi? Hafstad M.; Reategui A.; Trist O.M.; Edralin D.M.; Schmitz S.; Neto J.; Neto F.; Popov B.; ?or?evi? J.M.; Mihi? V.; Kalistova A.; PiterovI.; Mayer C.-H.; Molina M.J.C.; Ranasinghe R.; Nakchedi-Ooft T.; Sobhie R.; Matteo M.; Chavanovanich J.; Petchthip N.; Karabati S.; Akba? G.; Turkoglu B.; Shkoda T.; Savych O.; Mosanya M.; de Le P.P.; Labarthe-Carrara J.; Phelps C.; Sullivan K.; Hutchings P.; Danilewicz D.; ?ab?dzki R.; Karamustafa-Ke G.
Corporate Social Responsibility and Environmental Management, Vol-31, No. 5, pp. 4910-4932.
https://doi.org/10.1002/csr.2815 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192826614&doi=10.1002%2fcsr.2815&partnerID=40&md5=05ca99d44a96365858f47ce215684f58
Wojtczuk-Turek A., Institute of Human Capital, Collegium of Business Administration, Warsaw School of Economics, Warsaw, Poland; Turek D., Institute of Enterprise, Collegium of Business Administration, Warsaw School of Economics, Warsaw, Poland; Edgar F., Department of Management, School of Business University of Otago, Dunedin, New Zealand; Klein H.J., Department of Management and Human Resources, Fisher College of Business, The Ohio State University, Columbus, OH, United States; Bosak J., Dublin City University Business School, Dublin, Ireland; Okay-Somerville B., Adam Smith Business School, University of Glasgow, Glasgow, United Kingdom; Fu N., Trinity Business School, Trinity College Dublin, The University of Dublin, Dublin, Ireland; Raeder S., Department of Psychology, University of Oslo, Oslo, Norway; Jurek P., Faculty of Social Sciences, Institute of Psychology, University of Gdansk, Gdansk, Poland; Lupina-Wegener A., The International Management Institute, ZHAW School of Management and Law, Winterthur, Switzerland; Dvorakova Z., Masaryk Institute of Advanced Studies, Czech Technical University in Prague, Prague, Czech Republic; Gutirez-Crocco F., Faculty of Economic and Administrative Sciences, Universidad Austral de Chile, Valdivia, Chile; Kekkonen A., Estonian Business School, Tallinn, Estonia; Leiva P.I., Facultad de Econom y Negocios, Departamento de Administraci, Universidad de Chile, Santiago, Chile; Myna?ovL., Department of Economics and Management, University of Chemistry and Technology, Prague, Czech Republic; Schez-Apelliz M., Accounting and Finance Department, Faculty of Economic and Business Sciences, Universidad de Sevilla, Sevilla, Spain; Shafique I., Department of Management Sciences, COMSATS University Islamabad - Lahore Campus, Lahore, Pakistan; Al-Romeedy B.S., Faculty of Tourism and Hotels, University of Sadat City, Cairo, Egypt; Wee S., School of Psychological Science, University of Western Australia, Perth, Australia; Dunlop P., Faculty of Business and Law, Future of Work Institute, Curtin University, Bentley, Australia; Stinglhamber F., Psychological Sciences Research Institute, Universitcatholique de Louvain, Louvain-la-Neuve, Belgium; Caesens G., Psychological Sciences Research Institute, Universitcatholique de Louvain, Louvain-la-Neuve, Belgium; Caldana A., School of Economics, Business Administration and Accounting at Ribeir Preto, University of S Paulo (USP), Ribeir Preto, SP, Brazil; Sticca M.G., Department of Psychology, University of S Paulo, S Paulo, Brazil; Vasilev V., Higher School of Security and Economics, Plovdiv, Bulgaria; Lauzier M., Dartement de relations industrielles, Universitdu Quec en Outaouais, Gatineau, Canada, Institut du savoir Montfort, Hital Montfort, Ottawa, Canada; Desjardins G., Dartement de relations industrielles, Universitdu Quec en Outaouais, Gatineau, Canada; Zhang G., School of Management, Zhejiang University, Hangzhou, China; Tan L., School of Economics and Management, Northwest University, Xi'an, China; Galvez-Sierra L.B., Psychosocial Studies Department, University of Valle, Cali, Colombia; Pez E.R., Psychosocial Studies Department, University of Valle, Cali, Colombia; Goi? S., Department of Management, Faculty of Economics, Business and Tourism, University of Split, Split, Croatia; Tadi? I., Department of Psychology and Behavioral Sciences, Aarhus University, Aarhus, Denmark; CharvovD., Department of Economics and Management, University of Chemistry and Technology, Prague, Czech Republic; Botek M., Department of Economics and Management, University of Chemistry and Technology, Prague, Czech Republic; Jensen D.H., Department of Psychology and Behavioral Sciences, Aarhus University, Aarhus, Denmark; Rojas D.L., Pontificia Universidad Catica del Ecuador, Sede Ambato, Ecuador; Pazmay Ramos S.G., Pontificia Universidad Catica del Ecuador, Sede Ambato, Ecuador; Masso P., Estonian Business School, Tallin, Estonia; Jlstr M., School of Management, University of Vaasa, Vaasa, Finland; Gillet N., Department of Psychology, Universitde Tours, Tours, France, Institut Universitaire de France, Paris, France; Huyghebaert-Zouaghi T., Universitde Reims Champagne-Ardenne, C2S, Reims, France; Robakidze M., Faculty of Psychology and Educational Sciences, Ivane Javakhishvili Tbilisi State University, Tbilisi, Georgia; Martskvishvili K., Faculty of Psychology and Educational Sciences, Ivane Javakhishvili Tbilisi State University, Tbilisi, Georgia; Dorrough A.R., Social Cognition Center Cologne, Department of Psychology, University of Cologne, Cologne, Germany; Jekel M., Social Cognition Center Cologne, Department of Psychology, University of Cologne, Cologne, Germany; Hfner C., Social Cognition Center Cologne, Department of Psychology, University of Cologne, Cologne, Germany; Sevincer A.T., Institute for Sustainability Psychology, Leuphana University Lneburg, Lneburg, Germany; Kekesi E.K., Department of Management Studies, Ghana Communication Technology University, Accra, Ghana; Agyemang C.B., Department of Psychology, University of Ghana, Accra, Ghana; Apospori E., Athens University of Economics and Business, Athens, Greece; Jose J., CHRIST (Deemed to be University), Pune Lavasa, India; Salendu A., Faculty of Psychology, Universitas Indonesia, Depok, Indonesia; Etikariena A., Faculty of Psychology, Universitas Indonesia, Depok, Indonesia; Susianto H., Faculty of Psychology, Universitas Indonesia, Depok, Indonesia; Sjabadhyni B., Faculty of Psychology, Universitas Indonesia, Depok, Indonesia; Malayeri S., Department of Psychology, University of South Florida, Tampa, United States; Seydi M., Allameh Tabatabaei University, Tehran, Iran; Kinahan M., Maynooth University, Maynooth, Ireland; Lisak A., Department of Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Mariani M.G., Department of Psychology Renzo Canestrari, University of Bologna, Bologna, Italy; Salvati M., Department of Human Sciences, University of Verona, Verona, Italy; Moscatelli S., Department of Psychology Renzo Canestrari, University of Bologna, Bologna, Italy; Crapolicchio E., Department of Psychology, Catholic University of Milan, Milan, Italy; Manzi C., Department of Psychology, Catholic University of Milan, Milan, Italy; Shimazu A., Faculty of Policy Management, Keio University, Tokyo, Japan; Ikeda H., Department of Psychology, Kyushu University, Fukuoka, Japan; ukauskien? R., Institute of Psychology, Mykolas Romeris University, Vilnius, Lithuania; Kaniuonyt? G., Institute of Psychology, Mykolas Romeris University, Vilnius, Lithuania; Catania G., Department of Psychology, University of Malta, Msida, Malta; Lauri M.A., Department of Psychology, University of Malta, Msida, Malta; Gez S.M.M., School of Business, Tecnolico de Monterrey, Monterrey, Mexico; Fernando D., Hanze University of Applied Sciences, Groningen, Netherlands; Veth K., Hanze University of Applied Sciences, Groningen, Netherlands; Dhakal S., Tribhuvan University, Kathmandu, Nepal; Podgorodnichenko N., DBA Programme, Otago Business School, Dunedin, New Zealand; Lawal A., Department of Psychology, Federal University Oye-Ekiti, Oye, Nigeria; Duhovi? Hafstad M., Department of Psychology, University of Oslo, Oslo, Norway; Reategui A., ESAN University, Lima, Peru; Trist O.M., ESAN University, Lima, Peru; Edralin D.M., Research and Development Center, San Beda University, Manila, Philippines; Schmitz S., Instituto Universitio de Lisboa (ISCTE-IUL), CIS-IUL, Lisboa, Portugal; Neto J., Research on Economics, Management and Information Technologies, Universidade Portucalense, Porto, Portugal; Neto F., Universidade do Porto, Porto, Portugal; Popov B., Faculty of Philosophy, Department of Psychology, University of Novi Sad, Novi Sad, Serbia; ?or?evi? J.M., Department of Psychology, Faculty of Media and Communication, Singidunum University, Belgrade, Serbia; Mihi? V., Department of Psychology, Faculty of Philosophy, University of Novi Sad, Novi Sad, Serbia; Kalistova A., Institute of Social Sciences, Centre of Social and Psychological Sciences, SAS, Koice, Slovakia; PiterovI., Institute of Social Sciences, Centre of Social and Psychological Sciences, SAS, Koice, Slovakia; Mayer C.-H., University of Johannesburg, Johannesburg, South Africa; Molina M.J.C., Accounting and Finance Department, Faculty of Economic and Business Sciences, Universidad de Sevilla, Sevilla, Spain; Ranasinghe R., Uva Wellassa University of Sri Lanka, Badulla, Sri Lanka; Nakchedi-Ooft T., Interfaculty for Graduate Studies and Research (IGSR), Anton de Kom University of Suriname, Paramaribo, Suriname; Sobhie R., Interfaculty for Graduate Studies and Research (IGSR), Anton de Kom University of Suriname, Paramaribo, Suriname; Matteo M., The International Management Institute, ZHAW School of Management and Law, Winterthur, Switzerland; Chavanovanich J., Faculty of Psychology, Chulalongkorn University, Ratchathewi, Thailand; Petchthip N., Faculty of Social Sciences, Department of Psychology, Kasetsart University, Bangkok, Thailand; Karabati S., Department of Business Administration, Istanbul Bilgi University, Istanbul, Turkey; Akba? G., Department of Psychology, Atilim University, Ankara, Turkey; Turkoglu B., Department of Psychology, TED University, Ankara, Turkey; Shkoda T., Department of Business Economics and Entrepreneurship, Kyiv National Economic University named after Vadym Hetman, Kyiv, Ukraine; Savych O., Department of Marketing named after A.F. Pavlenko, Kyiv National Economic University named after Vadym Hetman, Ukraine; Mosanya M., Middlesex University Dubai, Dubai, United Arab Emirates; de Le P.P., Department of Psychology, Universidad Catica del Uruguay, Montevideo, Uruguay; Labarthe-Carrara J., Department of Psychology, Universidad Catica del Uruguay, Montevideo, Uruguay; Phelps C., Centre for Psychology and Counselling, University of Wales Trinity Saint David, Carmarthen, United Kingdom; Sullivan K., Centre for Psychology and Counselling, University of Wales Trinity Saint David, Carmarthen, United Kingdom; Hutchings P., Centre for Psychology and Counselling, University of Wales Trinity Saint David, Carmarthen, United Kingdom; Danilewicz D., Institute of Human Capital, Collegium of Business Administration, Warsaw School of Economics, Warsaw, Poland; ?ab?dzki R., Institute of Human Capital, Collegium of Business Administration, Warsaw School of Economics, Warsaw, Poland; Karamustafa-Ke G., Haute ole de gestion Arc // HES-SO, The University of Applied Sciences, Neuchel, Western Switzerland, Switzerland
Deciphering the impact of COVID-19 pandemic on food security, agriculture, and livelihoods: A review of the evidence from developing countries
Agriculture; COVID-19; Developing countries; Food security; Mitigation mechanisms; SDGs
With COVID-19 now spreading in developing countries, massive consequences on health and livelihoods are feared. Food security is the most important and crucial aspect of sustainable development. The agricultural sector forms the backbone of the economy and provides livelihood to a large section in developing countries. Therefore, the disruption in food security and the agricultural sector will have far-reaching impacts on these countries. Owing to the importance of these sectors, this paper performs a comprehensive assessment of the effect of COVID-19 on food security and agriculture. The research suggests coping and mitigation mechanisms that can be adopted to sustain livelihoods. 2020 The Author(s)
Workie E.; Mackolil J.; Nyika J.; Ramadas S.
Current Research in Environmental Sustainability, Vol-2
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.1016/j.crsust.2020.100014 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124462440&doi=10.1016%2fj.crsust.2020.100014&partnerID=40&md5=332ba2e457ce8097696b6a6105e81a27
Workie E., School of Environmental science and Engineering, Shanghai Jiao Tong University, Shanghai, China; Mackolil J., CHRIST (Deemed to be University), Bangalore, India; Nyika J., The Technical University of Kenya, Nairobi, Kenya; Ramadas S., ICAR-Indian Institute of Wheat and Barley Research, Haryana, India
Coping with Public and Private Face-to-Face and Cyber Victimization among Adolescents in Six Countries: Roles of Severity and Country
bullying; coping; country; culture; cyberbullying; severity; victimization
This study investigated the role of medium (face-to-face, cyber) and publicity (public, private) in adolescents perceptions of severity and coping strategies (i.e., avoidant, ignoring, helplessness, social support seeking, retaliation) for victimization, while accounting for gender and cultural values. There were 3432 adolescents (ages 1115, 49% girls) in this study; they were from China, Cyprus, the Czech Republic, India, Japan, and the United States. Adolescents completed questionnaires on individualism and collectivism, and ratings of coping strategies and severity for public face-to-face victimization, private face-to-face victimization, public cyber victimization, and private cyber victimization. Findings revealed similarities in adolescents coping strategies based on perceptions of severity, publicity, and medium for some coping strategies (i.e., social support seeking, retaliation) but differential associations for other coping strategies (i.e., avoidance, helplessness, ignoring). The results of this study are important for prevention and intervention efforts because they underscore the importance of teaching effective coping strategies to adolescents, and to consider how perceptions of severity, publicity, and medium might influence the implementation of these coping strategies. 2022 by the authors.
Wright M.F.; Wachs S.; Yanagida T.; ev?ovA.; D?dkovL.; Bayraktar F.; Aoyama I.; Kamble S.V.; MachkovH.; Li Z.; Soudi S.; Lei L.; Shu C.
International Journal of Environmental Research and Public Health, Vol-19, No. 21
https://doi.org/10.3390/ijerph192114405 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141633896&doi=10.3390%2fijerph192114405&partnerID=40&md5=69f68d6aa08e13236c4816149b22b150
Wright M.F., DePaul University, Chicago, 60614, IL, United States, Dublin City University, Dublin, D09, Ireland; Wachs S., Dublin City University, Dublin, D09, Ireland, University of Potsdam, Potsdam, 14469, Germany; Yanagida T., University of Vienna, Wien, 1010, Austria; ev?ovA., Masaryk University, Brno, 60177, Czech Republic; D?dkovL., Masaryk University, Brno, 60177, Czech Republic; Bayraktar F., Eastern Mediterranean University, Famagusta, 99628, Turkey; Aoyama I., Tsuru University, Yamanashi, Tsuru, 402-8555, Japan; Kamble S.V., Karnatak University, Karnataka, Dharwad, 580003, India; MachkovH., Masaryk University, Brno, 60177, Czech Republic; Li Z., Beijing University of Technology, Beijing, 100021, China; Soudi S., Christ University, Karnataka, Bangalore, 560029, India; Lei L., Renmin University of China, Beijing, 100872, China; Shu C., Renmin University of China, Beijing, 100872, China
Production of boeravinone b and related bioactive molecules from cell cultures of punarnava boerhavia diffusa linn. /
Bioactive Phytochemicals from DatePalm (Phoenix dactylifera L.) Seed Oil Processing By-products
Biofuel; Fatty acids; Phoenix dactylifera; Phytochemicals; Seed oil; Valorization
Humans cultivate plants for their daily commodities, like food and medicines. Innumerable varieties of crops and plant-derived products like cotton, fruits, vegetables, grains, pulses, and oils have been developed. A variety of seed oils have been used by humankind in dietary supplements and regarded as feedstock for the production of biofuels. Date palm (Phoenix dactylifera L.) is one such plant used in the production of oil. Date palm is a commercial fruit that is primarily cultivated in South Mediterranean countries. Date palm fruit and its processed products such as jams, jellies, and syrup are globally consumed. However, tons of seed waste is generated after processing and raises environmental problems due to poor seed waste disposal practices. Scientific reports suggest that date palm seed oil is a rich in minerals, fatty acids, and various phytochemicals like phenols, flavonoids, sterols, and tocopherols. These bioactive molecules possess significant pharmacological activities like antidiabetic, anti-inflammatory, antioxidant, antimicrobial, and hepatoprotectivity. This chapter summarizes the phytochemicals present in the date palm seed oil, discusses the fatty acid composition in various date palm cultivars worldwide, and highlights the pharmacological activities exhibited by the date seed oil. The chapter also discusses the effective utilization of date seed oil in the food and pharmaceutical industry and the seed oil by-products in biofuel production. Pharmaceuticals and biofuel production presents an excellent opportunity for the valorization of date palm cultivation and economic returns. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Wudali S.N.; Banadka A.; Nagella P.; Al-Khayri J.M.
Reference Series in Phytochemistry, pp. 455-481.
Springer Science and Business Media B.V.
Wudali S.N., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Banadka A., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Nagella P., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Al-Khayri J.M., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, Saudi Arabia
Bioactive Compounds and Biological Activities of Taro (Colocasia esculenta (L.). Schott)
Colocasia esculenta; Nutrition; Pharmacological activities; Phytochemistry; Taro
Plants are said to be the finest source of food and phytochemicals. Along with aerial plant components, subterranean tuberous, stems, and roots were often consumed for their phytochemical and nutritional worth. Colocasia esculenta(L.). Schott is an essential plant that is utilized for its nutritional and phytochemical properties. It is commonly called taro, which is very rich in plant secondary metabolites and their respective pharmacological properties. Taro is consumed by people worldwide and serves as a staple food in Asian and African countries, leading to its abundant production. Extensive studies has explored the nutritional composition of taro, which has been identified as a promising source of dietary fiber. Moreover, taro exhibits a wealth of minerals and phytochemicals, including phenols, flavonoids, and various derivatives, which contribute to its diverse pharmacological activities, such as antioxidant, antimicrobial, antidiabetic, anti-inflammatory, and anticancer effects. This chapter provides a comprehensive overview of taro, encompassing its nutritional profile, phytochemistry, and numerous pharmacological properties. Additionally, it addresses the important aspects of biosafety in relation to taro consumption and highlights potential prospects for sustainable production of this remarkable tuber crop. Springer Nature Switzerland AG 2024.
Wudali S.N.; Barwad A.; Banadka A.; Shaikh A.; Al-Khayri J.M.; Nagella P.
Reference Series in Phytochemistry, Vol-Part F2504, pp. 37-59.
Wudali S.N., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Barwad A., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Banadka A., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Shaikh A., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Al-Khayri J.M., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, Saudi Arabia; Nagella P., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India
Plants are said to be the finest source of food and phytochemicals. Along with aerial plant components, subterranean tuberous, stems, and roots were often consumed for their phytochemical and nutritional worth. Colocasia esculenta (L.). Schott is an essential plant that is utilized for its nutritional and phytochemical properties. It is commonly called taro, which is very rich in plant secondary metabolites and their respective pharmacological properties. Taro is consumed by people worldwide and serves as a staple food in Asian and African countries, leading to its abundant production. Extensive studies has explored the nutritional composition of taro, which has been identified as a promising source of dietary fiber. Moreover, taro exhibits a wealth of minerals and phytochemicals, including phenols, flavonoids, and various derivatives, which contribute to its diverse pharmacological activities, such as antioxidant, antimicrobial, antidiabetic, antiinflammatory, and anticancer effects. This chapter provides a comprehensive overview of taro, encompassing its nutritional profile, phytochemistry, and numerous pharmacological properties. Additionally, it addresses the important aspects of biosafety in relation to taro consumption and highlights potential prospects for sustainable production of this remarkable tuber crop. Springer Nature Switzerland AG 2023.
Reference Series in Phytochemistry, Vol-2023
Production Of Boeravinone B And Related Bioactive Molecules From Cell Cultures Of Punarnava, Boerhavia Diffusa Linn.
Boerhavia diffusa L., commonly referred to as punarnava, belongs to the Nyctaginaceae family. It contains a variety of phytochemicals that contribute to the plant's pharmacological activities. Among these compounds, Boeravinone-B, a significant secondary metabolite synthesized within the plant, has been reported to possess various pharmacological properties, including antioxidant, anti-inflammatory, cardio-protective, antimicrobial, and anti-cancer activities. Given its potential, there is a growing need to produce Boeravinone-B through biotechnological approaches such as plant tissue cultures. However, limited studies have been conducted on its production via tissue culture. Therefore, our objective was to produce Boeravinone-B using callus and cell suspension cultures. To induce callus, different auxins (2,4-D, NAA, IAA, IBA, and picloram) and cytokinins (kinetin, BAP, TDZ, and 2-iP) alone and in combination to maximize biomass and Boeravinone-B production was employed. Results showed that semi-solid medium supplemented with 5.0 mg/L 2,4-D produced the highest biomass and Boeravinone-B production from leaf explants. Subsequently, we established cell suspension cultures and observed that a combination of 2.0 mg/L picloram and 5.0 mg/L NAA yielded the highest production of Boeravinone-B. We further optimized cultural conditions such as inoculum density, carbon sources, sucrose concentration, MS medium strength, pH, ammonium and nitrate ratio, and various concentrations of macronutrients to enhance Boeravinone-B production. Additionally, we explored elicitation strategies using both biotic and abiotic components to determine their effects on Boeravinone-B production. Elicitation involved the use of polysaccharides (chitosan), fungi (yeast extract, Aspergillus niger and Cordyceps militaris) bacteria (Escherichia coli and Bacillus subtilis), and algal members (Valonia utricularis and Spirulina platensis). Likewise, signalling molecules (salicylic acid, sodium nitroprusside, and ethephon), polyamines (putrescine, spermine, and spermidine), and heavy metal salts (lead acetate, cadmium chloride, and lanthanum chloride) to stimulate Boeravinone-B production. Significant variations were observed among the elicitors in their ability to promote Boeravinone-B production, with the order of effectiveness being spermidine > Spirulina platensis > salicylic acid > spermine > sodium nitroprusside > Aspergillus niger > Valonia utricularis > Cordyceps militaris > yeast extract > putrescine. By employing these elicitation strategies alongside advancements in molecular aspects and large-scale production in bioreactors, we can ensure a sustainable supply of Boeravinone-B and its associated metabolites.
A comparative study on the adaptability of the different varieties of solanum lycopersicum L. (tomato) in salt stress condition
Anthocyanin; Osmotic stress; Phenol; Proline; Reactive oxygen species; Salinity; Tomato
The objective of the present study was to study the levels of antioxidant and oxidant metabolites such as total protein, proline, peroxidase, lipid peroxidase, catalase,and anthocyanin and phenol contents in nine varieties of tomato plants (Cerasiforme (Cherry tomato), Indamrohini, Marglobe, Ns 538, Sacchariya, San Marzano 3, Suhyana, Tomato Oblate Yellow, Vanda) treated under various NaCl concentrations (50, 100, 200 and 250 Mm). Salinity is one of the significant abiotic stresses, which affects plant cell metabolism and reduces plant productivity. Plants tolerant to NaCl implement a series of adaptations to acclimate to salinity, including morphological, physiological and biochemical changes. Under saline conditions, plants have to activate different physiological and biochemical mechanisms in order to cope with the resulting stress. Such mechanisms inclu de changes in morphology, anatomy, water relations, photosynthesis, the hormonal profile, toxic ion distribution and biochemical adaptation (such as the antioxidative metabolism response). An updated discussion on salt-induced oxidative stress and its effect on the antioxidant machinery in both salt-tolerant and salt-sensitive plants is the major part of this study. The aim of the present study is to extend our understanding of how salinity may affect the physiological characteristics of plants. 2020 IJSTR.
International Journal of Scientific and Technology Research, Vol-9, No. 1, pp. 4107-4115.
International Journal of Scientific and Technology Research
Xavier J., department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Jose J., department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, Karnataka, India
Histopathological and Toxicological Studies on Zebra Fish Using White-Fruited and Green-Fruited Varieties of Momordica charantia
Momordica charantia is well known for its medicinal properties. It has exhibited various pharmacological activities, such as antidiabetic, anti-inflammatory, and antimicrobial activities. Although this plant is used worldwide as a vegetable and medicinal ingredient in herbal medicines, its toxicity studies have not been conducted to date. This study attempts to understand its toxicity. The present study examined the activity of two enzymes, acetylcholinesterase and succinate dehydrogenase, as well as histopathological variations in the liver, intestine, and gills of zebrafish. The results of the acetylcholinesterase assay showed that the concentrations of 40 mg/L and 60 mg/L of the four extracts (leaf and fruit extracts of both varieties) exhibited increased enzyme activity. Interestingly, the leaves of the green fruit variety at a concentration of 60 mg/L showed the highest activity, with a value of 2.824 0.0682 micromoles/min compared to the control value of 1.8347 0.0046 micromoles/min. On the other hand, the succinate dehydrogenase assay revealed that the concentrations of 40 mg/L and 60 mg/L of the extracts decreased the enzyme activity. The highest inhibition was observed in the concentration of 60 mg/L of the leaves of the white-fruited variety and the green-fruited variety, with values of 1.884 0.0482 micromoles/min compared to the control value of 2.747 0.0046 micromoles/min. The studies on histopathological changes also demonstrated abnormalities in the brain, liver, intestine, and gills of zebrafish after the exposure to the extracts of M. charantia. The severity of the damage varied from low to high concentraions. In general, this study sheds light on the safety profile of Momordica charantia and highlights its potential toxicity in animal models. The findings suggest that more research is needed to fully understand the toxicity of this plant and its implications for human use. 2024 Jobi Xavier et al.
https://doi.org/10.1155/2024/4689625 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197219738&doi=10.1155%2f2024%2f4689625&partnerID=40&md5=49390b9c448e8d9dfecbf2c5ceba05cc
Xavier J., Department of Life Sciences, Christ University, Karnataka, Bangalore, India; Jose J., Department of Life Sciences, Christ University, Karnataka, Bangalore, India; Reddy J., Department of Botany, St. Joseph's University, Karnataka, Bengaluru, India; Ka P., Department of Life Sciences, Christ University, Karnataka, Bangalore, India
Acute Toxicity of Leaf Extracts of Enydra fluctuans Lour in Zebrafish (Danio rerio Hamilton)
The present study was focused on the concentration-dependent changes in oral acute toxicity of leaf extracts of E. fluctuans in zebrafish. The study was also aimed at the details of histopathological changes in the gill, liver, brain, and intestine of zebrafish exposed to the leaf extracts of the plant E. fluctuans. Enydra fluctuans Lour is an edible semiaquatic herbaceous plant used widely for the alleviation of the different diseases. Since there were no toxicity studies conducted on this plant, the present study was an attempt to look into the elements of toxicity of the plants. Two types of experiments are conducted in the present study. First, the acute oral toxicity study was conducted as per the OECD guidelines 203. Second, histopathological changes were observed in the fishes exposed to the lethal concentrations of plant extract. The oral acute toxicity studies conducted on Zebrafish have revealed that the leave extracts of E. fluctuans were toxic to the tested fish at the concentration of 200 mg/kg body weight. The histopathological studies conducted on the intestine of treated fishes showed that treatment has induced rupturing of the villi structure and fusion of villi the membrane and detachment of the villi structure from the basal membrane of the intestine. The histology of the liver also showed severe vacuolization in the cells while it is not affected in control. The studies on gills showed the detachment of the basal epithelial membrane in the gills compared to control which might have led to death of the fish. The histopathological observations of brain tissues treated with test samples also revealed the marked impingement in the brain parenchyma while the control is normal without impingement of the brain. 2020 Jobi Xavier and Kshetrimayum Kripasana.
Xavier J., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Bangalore, Karnataka, India; Kripasana K., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Bangalore, Karnataka, India
Antioxidant activities of leaves and fruits of piper nigrum and piper longum
Antioxidant; Cosmetics; Flavonoid content; Free radicals; Lipid peroxidation; Pharmaceutical industries
Background and Objectives: Herbs and spices have been used to enhance flavors of food, as well as for their medicinal purposes. Herbs usually contain antioxidant properties. The present study was focused on the importance of the antioxidants present in Piper nigrum and Piper longum widely used by the people of India in their food. Materials and Methods: The methanolic extracts of the leaves and fruits of both Piper nigrum and Piper longum were prepared using soxhlet extraction method. The total phenolic content (TPC) of the plant samples were determined by the Folin-Ciocalteu method. The total flavonoid content (TFC) of the plant was determined. The inhibitory effect of the plant against oxidation by peroxides was evaluated by ferric thiocyanate assay. Results: The highest concentration of phenol was obtained from Piper nigrum leaves. The highest flavonoid content was observed in the Piper nigrum leaves (0.15 mg). The higher reducing potency of the antioxidants was present in the leaves and fruit of Piper nigrum and Piper longum exhibiting their antioxidant properties. The ability of the plant extracts of Piper nigrum and Piper longum against lipid peroxidation was revealed through the efficiency of inhibiting the radicals at a percentage of 58.33, 77.77, 66.66 and 22.22, respectively. Conclusion: From the study it was concluded that leaves and fruits of Piper nigrum and Piper longum have shown high antioxidant properties. So, they are considered to be rich sources of natural antioxidants for food, cosmetic and pharmaceutical industries. 2020 Jobi Xavier and Seju Thomas.
Asian Journal of Plant Sciences, Vol-19, No. 2, pp. 127-132.
Asian Network for Scientific Information
https://doi.org/10.3923/ajps.2020.127.132 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087462232&doi=10.3923%2fajps.2020.127.132&partnerID=40&md5=6a4a5502fe389d86764f208c413ae986
Xavier J., Department of Life Sciences, Christ University, Bangalore, India; Thomas S., Department of Life Sciences, Christ University, Bangalore, India
Effect of treated and untreated domestic sewage water irrigation on tomato plants
Alkalinity; Chemical oxygen demand; Domestic sewage water; Hardness; Porometer; Stomatal conductance
Background and Objectives: Agricultural cultivations in the world are suffering from water shortages. Water scarcity poses challenges in the economy and health of people all over the world. The present study aimed the cultivation of tomato plants using groundwater, treated and untreated domestic sewage water and tried to make a comparative study on the heavy metals present in the leaves and fruits of the tomato plants. Materials and Methods: The water samples were analyzed for various physicochemical parameters such as; pH, total hardness, chloride, total alkalinity, dissolved oxygen and heavy metal. Stomatal conductance was measured using porometer. The heavy metal analysis was conducted using Atomic Absorption Spectrometer. Results: All physicochemical parameters were found to be below the permissible level of standard values in the groundwater and treated domestic sewage water, but above the permissible level in untreated domestic sewage water. Stomatal conductance was found to be very low in the plants treated with untreated domestic waste water (296.33/428 in the ventral surface during the morning and noon, respectively) when compared to the leaves of the plants treated with other water samples. Untreated domestic sewage water showed a very high level of lead, i.e., 7.5354 ppm, whereas the treated sewage water contained 0.5650 ppm slightly above the permissible level. Conclusion: The present study has revealed that the treated domestic sewage water would be used for the irrigation of agricultural cultivation. 2020 Jobi Xavier and Akhil K. Varghese.
Asian Journal of Plant Sciences, Vol-19, No. 3, pp. 252-260.
https://doi.org/10.3923/ajps.2020.252.260 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087462065&doi=10.3923%2fajps.2020.252.260&partnerID=40&md5=79dd77e2e7178d3e06b8c8aba68f5464
Xavier J., Department of Life Sciences, CHRIST (Deemed To Be University), Hosur Road, Bangalore, Karnataka, India; Varghese A.K., Department of Life Sciences, CHRIST (Deemed To Be University), Hosur Road, Bangalore, Karnataka, India
Pre and Post Operative Brain Tumor Segmentation and Classification for Prolonged Survival
BRATS; CNN; Dense net; EPISURG; Fig-Share; ResNET; TCIA; VGG
The aim of this research was to provide a detailed overview of the techniques in detecting and segmenting meningioma brain tumor in pre- and post-operative MRI images and classify for presence of meningioma thereby giving an early diagnosis to decrease the death rate. This study examines trending techniques for brain tumour segmentation and classification in Magnetic Resonance (MR) images of pre and post-surgery. For the segmentation and anomalies in the brain categorization, several approaches such as regular machine learning techniques (K-mean bunching, Fuzzy C mean grouping etc.), Deep Learning-based approaches (CNN, ResNET, Dense Net, VGG etc.), classical algorithms (Snake contour, watershed method etc.), and hybridization approaches were applied, according to the analysis. Information base, for example, BRATS, Fig-Share, EPISURG or TCIA can be taken to gather clinical pictures which principally contains of 2 classifications, pre and post pictures of Brain tumor. The multiple processes of brain tumour segmentation methodologies, such as preprocessing, feature extraction, segmentation, and classification, are also explained in this work. The task of segmenting residual and recurrent tumors differs greatly from that of segmenting tumors on baseline scans before surgery. This study shows that each approach has its own set of pros and limitations, as well as notable findings in terms of precision, sensitivity, and specificity, according to the comparison research. The use of segmentation approaches to determine success and reliability has been discovered. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Lecture Notes in Networks and Systems, Vol-417 LNNS, pp. 608-616.
Springer Science and Business Media Deutschland GmbH
Xavier P.S., Department of Computer Science, CHRIST (Deemed to be) University, Bangalore, India; Raju G., Department of Computer Science, CHRIST (Deemed to be) University, Bangalore, India; Asawthy S.U., Department of Computer Science, JYOTHI Engineering College Cheruthuruthy, Cheruthuruthy, India
Post-Operative Brain MRI Resection Cavity Segmentation Model and Follow-Up Treatment Assistance
Attention-Enabled U-Net; post-operative magnetic resonance imaging (MRI); resection cavities; segmentation; VGG16 encoder
Post-operative brain magnetic resonance imaging (MRI) segmentation is inherently challenging due to the diverse patterns in brain tissue, which makes it difficult to accurately identify resected areas. Therefore, there is a crucial need for a precise segmentation model. Due to the scarcity of post-operative brain MRI scans, it is not feasible to use complex models that require a large amount of training data. This paper introduces an innovative approach for accurately segmenting and quantifying post-operative brain resection cavities in MRI scans. The proposed model, named Attention-Enhanced VGG-U-Net, integrates VGG16 initial weights in the encoder section and incorporates a self-attention module in the decoder, offering improved accuracy for postoperative brain MRI segmentation. The attention mechanism enhances its accuracy by concentrating on a specific area of interest. The VGG16 model is comparatively lightweight, has pre-trained weights, and allows the model to extract incredibly detailed information from the input. The model is trained on publicly available post-operative brain MRI data and achieved a Dice coefficient value of 0.893. The model is then assessed using a clinical dataset of postoperative brain MRIs. The model facilitates the quantification of the resected regions and enables comparisons with each brain region based on pre-operative images. The capabilities of the model assist radiologists in evaluating surgical success and directing follow-up procedures. 2024 by the authors of this article.
International journal of online and biomedical engineering, Vol-20, No. 5, pp. 133-149.
International Federation of Engineering Education Societies (IFEES)
https://doi.org/10.3991/ijoe.v20i05.45609 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188275640&doi=10.3991%2fijoe.v20i05.45609&partnerID=40&md5=3e2892c029561965ce7daf3e3ec50168
Xavier P.S., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Sathish P.K., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Raju G., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India
A weighted-Weibull distribution: Properties and applications
brittle strength data; dirichlet eta function; failure data; maximum likelihood estimation; Weibull distribution; wind speed data
The paper describes a two parameter model and its relationship to the widely used Weibull model. Mathematical properties of the distribution like survival and hazard functions, moments, harmonic and geometric means, Shannon entropy and mean residual life are derived. Different methods of estimation are discussed and a simulation study is performed to verify the efficiency of estimation methods. Applications of our distribution in different scenarios observed in real life areillustrated. 2023 John Wiley & Sons Ltd.
Quality and Reliability Engineering International, Vol-40, No. 2, pp. 863-875.
https://doi.org/10.1002/qre.3439 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170526679&doi=10.1002%2fqre.3439&partnerID=40&md5=fc50942b468ab2318fdb9b385469ebbb
Xavier T., Department of Statistics and Data Science, CHRIST (Deemed to be University), Bangalore, India; Nadarajah S., Department of Mathematics, University of Manchester, Manchester, United Kingdom