Artificial intelligence for diabetic retinopathy detection: A systematic review
Artificial intelligence; Deep learning; Diabetic retinopathy; Machine learning; Ophthalmologist; Proliferative diabetic retinopathy vision loss
The incidence of diabetic retinopathy (DR) has increased at a rapid pace in recent years all over the world. Diabetic eye illness is identified as one of the most common reasons for vision loss among people. To properly manage DR, there has been immense research and exploration of state-of-the-art methods using artificial intelligence (AI) enabled models. Specifically, AI-empowered models combine multiple machine learning (ML) and deep learning (DL) based algorithms to improve the performance of the developed system architectures that are commercially utilized for the detection of DR disease. However, these models still exhibit several limitations, such as computational complexity, low accuracy in DR stage detection due to class imbalance, more time consumption, and high maintenance cost. To overcome these limits, a more advanced model is required to accurately predict the DR stage in the initial stages. For example, the identification of DR disease in the initial stage helps the ophthalmologist to make an accurate and safe diagnosis, and thereby, eyesight-related issues may be treated more effectively. This study conducted a systematic literature review (SLR) to provide a detailed discussion of the background of diabetic retinopathy, its major causes, challenges faced by ophthalmologists in DR detection, and possible solutions for identifying DR in the initial stage. Also, the SLR provides an in-depth analysis of the existing state-of-the-art techniques and system models used in DR diagnosis based on AI, ML, and recently developed DL-based approaches. Furthermore, this present survey would be helpful for the research community to receive information on the recent approaches used for DR identification along with their significant challenges and limitations. 2024 The Authors
Senapati A.; Tripathy H.K.; Sharma V.; Gandomi A.H.
Informatics in Medicine Unlocked, Vol-45
https://doi.org/10.1016/j.imu.2024.101445 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184074368&doi=10.1016%2fj.imu.2024.101445&partnerID=40&md5=3a2ba61b0340ffd8d7ce2bfb3d336c77
Senapati A., School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, 751024, India; Tripathy H.K., School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, 751024, India; Sharma V., Department of Computational Sciences, CHRIST(Deemed to be University), Delhi-NCR Campus, India; Gandomi A.H., Faculty of Engineering and IT, University of Technology Sydney, Ultimo, 2007, NSW, Australia, University Research and Innovation Center (EKIK), uda University, Budapest, 1034, Hungary
Dolastatins and their analogues present a compelling landscape of potential natural and synthetic anticancer drug candidates
Anticancer activity; Apoptosis; Cytotoxicity; Dolastatins; Marine-derived compounds; Molecular mechanisms; Signaling pathways; Synthetic analogues
Human cancer remains a leading cause of global mortality. Traditional treatment methods, while effective are often associated with substantial side effects, high technical requirements, and considerable expenses. Recently, anticancer peptides, such as dolastatin-type peptides naturally found in marine mollusc Dolabella auricularia, have gained attention due to their enhanced characteristics and specific targeting of cancer cells with minimal toxicity to normal cells. This review aims to provide a comprehensive summary of the anticancer activities of natural dolastatins and synthetic analogues over the past 35 years, focusing on their utilization in advancing cancer treatment strategies. This updated review encompasses a detailed analysis of numerous studies demonstrating the cytotoxic effects of dolastatins and their synthetic analogues on various human tumour cell lines. The analysis includes investigations into their ability to activate apoptosis pathways, inhibit cell cycle progression, and indirectly limit inflammation and angiogenesis in tumours. Both natural dolastatins and synthetic analogues have demonstrated significant anticancer properties through a variety of mechanisms in vitro and in vivo pharmacological studies. Some have even advanced to clinical trials, either alone or in combination with other agents, and have shown promising outcomes. The biological activities of dolastatins and their synthetic analogues offer a promising path in the development of more effective and sustainable anticancer drugs. Their specific action on cancer cells and relative non-toxicity to normal cells highlight their potential as superior cancer therapeutic agents. The current study provides a platform for the most recent preclinical and clinical research on dolastatins and their analogues. Further research into these marine peptides may contribute to the development of sustainable and efficient treatment models for cancer, filling a significant gap in the current cancer therapeutic portfolio. 2023 The Authors
Nandi S.; Khatua S.; Nag A.; Sen S.; Chakraborty N.; Naskar A.; Acharya K.; Mekky R.H.; Contreras M.D.M.; Calina D.; Dini I.; Sharifi-Rad J.
Current Research in Biotechnology, Vol-7
https://doi.org/10.1016/j.crbiot.2023.100167 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183770221&doi=10.1016%2fj.crbiot.2023.100167&partnerID=40&md5=a0cb74f5c0920c7b082dd880d1888232
Nandi S., Molecular and Applied Mycology and Plant Pathology Laboratory, Department of Botany, University of Calcutta, 35, Ballygung Circular Road, Kolkata, India; Khatua S., Department of Botany, Faculty of Science, University of Allahabad, Uttar Pradesh, Prayagraj, 211002, India; Nag A., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore Central Campus, Karnataka, Bangalore, India; Sen S., Department of Botany, Fakir Chand College, Diamond Harbour, South 24-Parganas, Kolkata, India; Chakraborty N., Department of Botany, Scottish Church College, Kolkata, India; Naskar A., Molecular and Applied Mycology and Plant Pathology Laboratory, Department of Botany, University of Calcutta, 35, Ballygung Circular Road, Kolkata, India; Acharya K., Molecular and Applied Mycology and Plant Pathology Laboratory, Department of Botany, University of Calcutta, 35, Ballygung Circular Road, Kolkata, India; Mekky R.H., Department of Pharmacognosy, Faculty of Pharmacy, Egyptian Russian University, Badr City, Cairo-Suez Road, Cairo, 11829, Egypt; Contreras M.D.M., Department of Chemical, Environmental and Materials Engineering, Universidad de Ja, Campus Las Lagunillas, s/n, 23071 Ja, Spain; Calina D., Department of Clinical Pharmacy, University of Medicine and Pharmacy of Craiova, Craiova, 200349, Romania; Dini I., Department of Pharmacy, University of Naples Federico II, Via Domenico Montesano 49, Napoli, 80131, Italy; Sharifi-Rad J., Facultad de Medicina, Universidad del Azuay, Cuenca, Ecuador
Experience of psychic restructuring among refugees in the context of life in refuge
Art-based therapy; exile; first-generation; life in the refuge; psychic restructuring
Changes in the inner voice, thoughts, and feelings due to the recurrent experiences in social and cultural reality are defined as psychic restructuring (PR). Any collective trauma can drastically change a persons psyche in multiple ways. The first argument of the study is that PR happens in individuals as a result of exile, which has manifold reasons. The second argument is that first-generation older adults crave for their homeland more intensely because of their subtle memories of the left behind. The third argument is that there are metaphorical representations of exilic experiences in the art forms that would depict their inexplicable quest for PR. Finally, it suggests the possibility of constructive PR in refugees with the aid of clinically driven and standardized art-based therapies (ABT). These arguments have multicollinearity in the context of PR, which still needs to be studied. The study tries to bridge the gap or lacuna in this research arena. 2023 The Association for Psychoanalytic Psychotherapy in the Public Sector.
Psychoanalytic Psychotherapy, Vol-38, No. 1, pp. 62-81.
B R., Department of Psychology, CHRIST University, Bengaluru, India; Gopal B., Department of Psychology, CHRIST University, Bengaluru, India
A conceptual framework for the worklife balance of police officers: a post-COVID-19 perspective
Ansar Abbas, Universitas Airlangga - Kampus B, Indonesia; job satisfaction; police officers; resilience; social support; Work & Organizational Psychology; Organizational Studies; Organizational Theory & Behavior; Work/life balance
This study has undertaken a comprehensive review of literature from 2019 to 2021, encompassing work/life balance review articles to identify the research gap in the work/life balance area. Employing the PRISMA framework for systematic literature review, the study identified prospective areas for future research on work/life balance and variables associated with work/life balance in the police sector. The articles published between 2013 and 2023 relating to the police force over the past decade were reviewed to frame a conceptual framework for the work/life balance of police officers. Further literature review attests that there is a research gap in the police sector. The primary goal is to identify the area (work/life balance in the police sector) that lacked research and establish a conceptual framework addressing the work/life balance of police officers, even in challenging situations like COVID-19. The articles related to police from 2013 to 2023 were scrutinised through the PRISMA framework to identify variables necessary for constructing the conceptual framework for police officers. This article, set in the post-COVID-19 era, delves into the factors influencing police officers capacity to uphold a healthy worklife balance. By pinpointing those research gaps, the article proposes a conceptual framework designed to help police officers balance their professional and personal lives. Such a framework can aid organisations in formulating effective strategies for employee well-being, facilitating worklife balance even in challenging circumstances, such as those imposed by the COVID-19 pandemic. 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Cogent Business and Management, Vol-11, No. 1
Sandhya D.S., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India
Influence of Mindfulness on Game Addiction-Mediating Role of Emotional Control
Emotional control; game addiction; mindfulness and college students
In the past few decades, online games have become immensely popular among the younger generation thus leading to online game addiction. Previous researches acknowledge that mindfulness or present-focused awareness may reduce addiction. Moreover, addiction is found to have an impact on the propensity to respond to the situations in the environment in a way that is acceptable to all the people (emotional control). The present study attempts to study the influence of mindfulness and emotional control on game addiction. For this, 187 college students were selected through the Simple Random Sampling method. Personal Profile Sheet, The Online Game Addiction Scale, Mindful Attention Awareness Scale (MAAS) and The Emotional Control Questionnaire, with four dimensions of Rehearsal, Emotional Inhibition, Aggression Control and Benign control were used to collect the data. The study found a significant gender difference in the level of game addiction where boys being more addicted to online games than girls. Mindfulness shows a significant negative influence over Game Addiction. Among the four dimensions of emotional control, the two dimensions viz., rehearsal and benign control show mediation effect between mindfulness and game addiction. However, the mediating role of emotional inhibition and aggression control was not significantly demonstrative. The Author(s) 2024.
Tharumiya A.K.; P R.; Sakthivel K.; K J.; Manicka M.M.K.
Tharumiya A.K., Department of Psychology, School of Social Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; P R., Department of Psychology, PSG College of Arts and Science, Tamil Nadu, Coimbatore, India; Sakthivel K., Department of Psychology, PSG College of Arts and Science, Tamil Nadu, Coimbatore, India; K J., Department of Psychology, PSG College of Arts and Science, Tamil Nadu, Coimbatore, India; Manicka M.M.K., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, India
Text Mining-A Comparative Review of Twitter Sentiments Analysis
airline sentiments; decision trees; gaussian naive bayes; gini index; machine learning; multinomial naive bayes; multinomial naive bayes with bagging; Opinion mining; random forest
Background: Text mining derives information and patterns from textual data. Online social media platforms, which have recently acquired great interest, generate vast text data about human behaviors based on their interactions. This data is generally ambiguous and unstructured. The data includes typing errors and errors in grammar that cause lexical, syntactic, and semantic uncertainties. This results in incorrect pattern detection and analysis. Researchers are employing various text mining techniques that can aid in Topic Modeling, the detection of Trending Topics, the identification of Hate Speeches, and the growth of communities in online social media net-works. Objective: This review paper compares the performance of ten machine learning classification techniques on a Twitter data set for analyzing users' sentiments on posts related to airline usage. Methods: Review and comparative analysis of Gaussian Naive Bayes, Random Forest, Multinomial Naive Bayes, Multinomial Naive Bayes with Bagging, Adaptive Boosting (AdaBoost), Optimized AdaBoost, Support Vector Machine (SVM), Optimized SVM, Logistic Regression, and Long-Short Term Memory (LSTM) for sentiment analysis. Results: The results of the experimental study showed that the Optimized SVM performed better than the other classifiers, with a training accuracy of 99.73% and testing accuracy of 89.74% compared to other models. Conclusion: Optimized SVM uses the RBF kernel function and nonlinear hyperplanes to split the dataset into classes, correctly classifying the dataset into distinct polarity. This, together with Feature Engineering utilizing Forward Trigrams and Weighted TF-IDF, has improved Optimized SVM classifier performance regarding train and test accuracy. Therefore, the train and test accuracy of Optimized SVM are 99.73% and 89.74% respectively. When compared to Random Forest, a mar-ginal of 0.09% and 1.73% performance enhancement is observed in terms of train and test accuracy and 1.29% (train accuracy) and 3.63% (test accuracy) of improved performance when compared with LSTM. Likewise, Optimized SVM, gave more than 10% of enhanced performance in terms of train accuracy when compared with Gaussian Nae Bayes, Multinomial Nae Bayes, Multinomial Nae Bayes with Bagging, Logistic Regression and a similar enhancement is observed with Ada-Boost and Optimized AdaBoost which are ensemble models during the experimental process. Optimized SVM also has outperformed all the classification models in terms of AUC-ROC train and test scores.. 2024 Bentham Science Publishers.
Patil S.; Subil D.; Nasar N.; Kokatnoor S.A.; Krishnan B.; Kumar S.
Recent Advances in Computer Science and Communications, Vol-17, No. 1, pp. 21-37.
Patil S., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, Bangalore, India; Subil D., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, Bangalore, India; Nasar N., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, Bangalore, India; Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, Bangalore, India; Krishnan B., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, Bangalore, India; Kumar S., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, Bangalore, India
Utilizing social psychology to drive financial policy solutions: Addressing female feticide and infanticide
culture; female feticide; financial solutions; gender; policy
Female feticide and infanticide, are two of the most serious problems confronting Indian society. This issue is largely caused by the identification of female fetuses through technology, which frequently results in the termination of a pregnancy. Despite the governments efforts to curb these practices, progress has been limited. There are facilities in cities for determining the gender of an unborn child. The financial difficulty of raising a girl child is a key element in the preference for male offspring. The aim of this study is to propose innovative financial solutions that the government can implement to address this longstanding and complex issue. By exploring various financial inclusion strategies, this study seeks to identify effective measures that can bring about social change and promote gender equality. 2024 by author(s).
Environment and Social Psychology, Vol-9, No. 5
https://doi.org/10.54517/esp.v9i5.2425 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186189041&doi=10.54517%2fesp.v9i5.2425&partnerID=40&md5=082fd81eeae1624dcb7c2facd4b28cb1
Farooqui M.O., Department of Public Law, College of Law, University of Sharjah, Sharjah, United Arab Emirates; Siddiquei M.I., University of the People, Pasadena, 91101, CA, United States; Kumar K., Christ (Deemed to be University) NCR Campus, Uttar Pradesh, 201003, India
Understanding Agape Leadership: A Scoping Review
Agape; compassion; leadership; unconditional love; well-being
Agape, a Greek term for unconditional love, is often overlooked in the context of leadership, which has traditionally emphasized control and dominance. Agape leadership is a type of leadership that places the well-being and growth of individuals, communities, and society at the forefront. This style of leadership is characterized by a profound sense of compassion and consideration for others and is grounded in the principles of love, compassion, and empathy. This paper reviews the literature on agape leadership, exploring how it is conceptualized, practiced, and studied. The review finds that agape leadership is linked to favourable results, including increased trust, motivation, performance, respect, and collaboration, in which people can thrive and reach their full potential. This style of leadership is not only focused on achieving specific goals or outcomes, but also on fostering a sense of purpose, meaning, and fulfilment in the lives of those being led. The leadership style of agape can bring about enduring and constructive transformations in society as it motivates and galvanizes individuals to collaborate toward a collective aspiration of a more promising tomorrow. Agape leaders also place a high value on personal growth and development and are constantly seeking to learn and grow in their own leadership journey. 2023 Open Access/Author/s - Online @ http//: www.pharosjot.com
Pharos Journal of Theology, Vol-105, No. 1, pp. 1-13.
https://doi.org/10.46222/pharosjot.10519 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185187446&doi=10.46222%2fpharosjot.10519&partnerID=40&md5=282ed1a5c5866c9991b681bcd4c27684
Peekunnel S.P., CHRIST(Deemed to be University), Karnataka, Bengaluru, 560 029, India; Srinivas V., CHRIST(Deemed to be University), Karnataka, Bengaluru, 560 029, India
A Scoping Review on the Factors Affecting the Adoption of Robo-advisors for Financial Decision-Making
Artificial Intelligence; Financial Advice; Fintech; Robo-advisors; Scoping Review; Technology Adoption
Robo-advisors have recently gained popularity as an algorithm-based method of simplifying financial management. The present study explores the factors that lead many potential consumers to use Robo-advisors in financial decisions. Adopting a scoping review approach formulated by Arksey and O'Malley, the study examines the factors affecting the acceptance and usage of financial Robo-advisors in different parts of the world. The results suggest that performance expectancy, effort expectancy, trust in technology, financial knowledge, investing experience, cost-effectiveness, facilitating conditions, and intrinsic motivation are positively related to adopting Robo-advisors. On the contrary, anxiety, risk perception, investor age, data security, and behavioral biases negatively influence the investor attitude toward Robo-advisors. This creates a barrier to the diffusion of financial Robo-advisors among the investors. The study concludes by providing recommendations to service providers, policymakers, and marketers for the speedy distribution and acceptance of algorithms for the public's financial decision-making. The study identifies gaps in the existing literature and suggests areas for future research for aspiring academics. 2024 University of Pardubice. All rights reserved.
Scientific Papers of the University of Pardubice, Series D: Faculty of Economics and Administration, Vol-32, No. 1, pp. 1884-.
https://doi.org/10.46585/sp32011884 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190337098&doi=10.46585%2fsp32011884&partnerID=40&md5=1bfdb3a78357c44907fcbdaae58854f8
Nain I., CHRIST (Deemed to be University, Department of Commerce, India; Rajan S., CHRIST (Deemed to be University, Department of Commerce, India
A Revitalising Approach towards Aging: Unveiling the Potential Use of Probiotics for Wellness in Elderly Populations
bacteriocins; disease management; dysbiosis; gut homeostasis; immunomodulatory; immunosenescence; microbiota therapy; probiotics
Probiotics have emerged as a potential alternative for treating various diseases affecting general population. Mounting data suggests that probiotics can be beneficial for older individuals, who often have weakened immune systems and are more susceptible to illnesses. Dysbiosis commonly occurs in elderly individuals, which is implicated as a major reason for various diseases. The effectiveness of probiotics is influenced by the specific strain and the dosage administered. Extensive studies have shown how probiotics affect prevalent issues, such as functional bowel diseases and other gastrointestinal disorders. Probiotics exert their effects by synthesizing different microbial peptides, such as bacteriocins, antibiotics, lipopolysaccharides, short-chain fatty acids, butyric acid, propionic acid and other specific secretory metabolites. The common probiotics that are found to benefit the health of elderly populations include Lactobacillus, Bifidobacterium lactis, Bacillus subtilis, Bifidobacterium longum and Bifidobacterium breve Further research is necessary to delve into the mechanism of action for both existing and novel probiotic strains for use in combating or aiding in diseases. Genetically, modified probiotics can be potentially used in the future to deliver immunity-restoring genes and as oral mode of vaccination in humans. Fecal microbiota transplantation has been gaining interest, used to restore gut conditions, and has also been linked to alleviating neurodegenerative diseases. The focus of this review was to present the available evidence on the immunomodulatory effects of probiotics in the elderly population; aiming to gain a better understanding of their mechanism of action and to assess the progress made in utilizing probiotics as therapeutic interventions. 2023 JHSMR. Hosted by Prince of Songkla University. All rights reserved.
Desai S.P.; Kurian C.; Das S.; Rebello S.J.; Acharyya S.; Paari K.A.
Journal of Health Science and Medical Research, Vol-42, No. 3
https://doi.org/10.31584/jhsmr.20231015 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188747419&doi=10.31584%2fjhsmr.20231015&partnerID=40&md5=40bc0a6d4fd060d96ba8055dc2f998ea
Desai S.P., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Kurian C., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Das S., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Rebello S.J., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Acharyya S., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Paari K.A., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India
Analysis of Statistical and Deep Learning Techniques for Temperature Forecasting
ARIMA; auto regression; GRU; LSTM; RNN; XAI
In the field of meteorology, temperature forecasting is a significant task as it has been a key factor in industrial, agricultural, renewable energy, and other sectors. High accuracy in temperature forecasting is needed for decision-making in advance. Since temperature varies over time and has been studied to have non-trivial long-range correlation, non-linear behavior, and seasonal variability, it is important to implement an appropriate methodology to forecast accurately. In this paper, we have reviewed the performance of statistical approaches such as AR and ARIMA with RNN, LSTM, GRU, and LSTM-RNN Deep Learning models. The models were tested for short-term temperature forecasting for a period of 48 hours. Among the statistical models, the AR model showed notable performance with a r2 score of 0.955 for triennial 1 and for the same, the Deep Learning models also performed nearly equal to that of the statistical models and thus hybrid LSTM-RNN model was tested. The hybrid model obtained the highest r2 score of 0.960. The difference in RMSE, MAE and r2 scores are not significantly different for both Statistical and Vanilla Deep Learning approaches. However, the hybrid model provided a better r2 score, and LIME explanations have been generated for the same in order to understand the dependencies over a point forecast. Based on the reviewed results, it can be concluded that for short-term forecasting, both Statistical and Deep Learning models perform nearly equally. 2024 Bentham Science Publishers.
Kruthika S.G.; Rajasekaran U.; Alagarsamy M.; Sharma V.
Recent Advances in Computer Science and Communications, Vol-17, No. 2, pp. 49-65.
Kruthika S.G., Department of Computer Science and Business Systems, Thiagarajar College of Engineering, Tamil Nadu, Madurai, India; Rajasekaran U., Department of Computer Science and Business Systems, Thiagarajar College of Engineering, Tamil Nadu, Madurai, India; Alagarsamy M., Department of Computer Science and Business Systems, Thiagarajar College of Engineering, Tamil Nadu, Madurai, India; Sharma V., Department of Computational Sciences, CHRIST (Deemed to be University), NCR, Delhi, India
Multi-criteria decision making (MCDM) in diverse domains of education: a comprehensive bibliometric analysis for research directions
Education; Multiple criteria decision making; Tableau; Vosviewer
Multiple Criteria Decision Making has been one of the powerful and structured approach in solving real world problems in the past. The aim is to determine the best alternative based on multiple criteria. It has shown a remarkable performance in the field of education. In order to gain insights into the existing body of research in this area, a bibliometric analysis was conducted. The study is conducted to provide a comprehensive analysis since 2000 in the field of application of MCDM in the various domains of education. The publication information was accessed from Scopus Database on 1 December 2023 and the bibliometric analysis has been done through Vosviewer, R package bibliometrics and Tableau. Initially 5185 documents were found which were reduced to 1706 after multi layered screening criteria. The analysis is performed to find the relevant documents, most valuable researchers, the major countries where the research in this area is exhaustively conducted. After extensive research it is observed that researchers belonging to China are highly involved in the domain taken for study. Also, research conducted in China is highly cited which shows its quality of work. Further, it is observed that mostly fuzzy analysis techniques are widely used for MCDM. The collaborative work done by Arunodaya Raj Mishra and Rani Pratibha research work is remarkable and highly recommended to conduct the research in the considered domain in the research paper. The conducted bibliometric analysis provides an overview of the scope and global trends of MCDM in shaping the education sector. This would help the researchers to explore the most relevant study, analysis and finding the research gaps as per their research needs. The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2024.
International Journal of System Assurance Engineering and Management
Srivastava S., Christ University, Bengaluru, India; Tripathi A., Department of Data Science and Engineering, Manipal University Jaipur, Jaipur, India; Arora N., Department of Computer Science, Kalindi College, University of Delhi, Delhi, India
Corporate social responsibility and its impact on organizational attractiveness: Unveiling the mediating role of perceived organizational support
Catchment; corporate social responsibility; Corporate Social Responsibility; Human Resource Management; information technology; Len Tiu Wright, De Montfort University Faculty of Business and Law, United Kingdom of Great Britain and Northern Ireland; Organizational attractiveness; Organizational Theory & Behavior; perceived organizational support; Stakeholder theory; structural equation modeling
The central aim of the study is to investigate the mediating role of perceived organizational support (POS) in the relationship between corporate social responsibility (CSR) initiatives and organizational attractiveness (OA). It employs a cross-sectional quantitative design, collecting data from diverse organizations. Multistage convenient sampling was used to collect responses from employees of 20 IT companies in Bengaluru. Insights from employees working in IT companies are collected through the questionnaire. There were 740 questionnaires distributed, of which only 396 were returned in their completeness state. Statistical analyses, including regression and bootstrapping techniques, were done using SPSS and AMOS to examine the mediating effect of POS. The study highlights a noteworthy mediating effect of perceived organizational support (POS) on the relationship between CSR initiative and organizational attractiveness. It was also revealed that POS partially mediates CSR and OA, significantly influencing CSR and OA. Managerial implications of this study are that the organization focusing primarily on employee support measures enhances the external reputation and develops internal commitment and loyalty. These insights furnish organizations with a strategic roadmap to navigate the dynamic realm of CSR and organizational attractiveness. 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Francis S.; Rangasamy S.; Balasundaram S.; Iyer L.S.; N E.
Francis S., School of Business and Management, Christ University Bengaluru, Karnataka, Bangalore, India; Rangasamy S., School of Business and Management, Christ University Bengaluru, Karnataka, Bangalore, India; Balasundaram S., Associate Professor & Area Chair, HR School of Business and Management, Christ University Bengaluru, Karnataka, India; Iyer L.S., Associate Professor & Head of Business Analytics, School of Business and Management, Christ University Bengaluru, Karnataka, India; N E., Professor, School of Business and Management, Christ University Bengaluru, Karnataka, India
Mainstreaming Northeast Tribal Women in India through Financial Education: A Systematic Review
Financial education; Financial literacy; Mao-Naga Tribe; Northeast India; Socio-cultural practices; Tribal women
Financial education is required to enhance financial literacy for socio-economic development. This paper aims to understand the financial literacy level among the Scheduled Tribes of India, specifically the Mao-Naga Tribe women of Northeast India. The current paper is based on secondary data and adheres to the steps and process of a systematic review. Prominent authors, times, tribes, countries, journals, and keywords have been identified for the comprehensive analysis. Since the goal of this paper is to review the existing literature regarding financial literacy among tribals, the findings indicate that financial education intervention, socio-cultural practices, social affinity, and early life financial experience affect individuals financial literacy. It has also been observed that a productive pathway to achieve financial literacy and inclusion lies in integrating financial education programs within the socio-cultural practices of tribal women. Thus, financial literacy can enhance the financial well-being that is necessary for socio-economic development among Mao-Naga Tribal women. This paper can help governments, central bank regulators, and researchers know the essential elements of financial literacy and identify the pertinent areas for further empowerment among sub-groups of the population, especially among tribal women of Northeast India. 2022 Journal of International Womens Studies.
Katini K.; Hriizhiinio K.; Amalanathan S.
Journal of International Women's Studies, Vol-26, No. 2
Katini K., CHRIST (Deemed to be University), India; Hriizhiinio K., School of Economics, University of Hyderabad, India; Amalanathan S., Business and Management School (BBA-Central Campus), CHRIST (Deemed to be University), Bangalore, India
Conservation of Endangered Cordyceps sinensis Through Artificial Cultivation Strategies of C. militaris, an Alternate
Cordyceps militaris; Cordyceps sinensis; Liquid culture; Solid state fermentation; Sustainability
Cordyceps, an entomopathogenic fungus belonging to the Ascomycota phylum, is a familiar remedial mushroom that is extensively used in the traditional medicinal system, especially in South Asian nations. The significance of this genus members in a range of therapeutic and biotechnological applications has long been acknowledged. The exceedingly valuable fungus Ophiocordyceps sinensis (Cordyceps sinensis) is found in the alpine meadows of Bhutan, Nepal, Tibet, and India, where it is severely harvested. Driven by market demand and ecological concerns, the study highlights challenges in natural C. sinensis collection and emphasizes the shift towards sustainable artificial cultivation methods. This in-depth review navigates Cordyceps cultivation strategies, focusing on C. sinensis and the viable alternative, C. militaris. The escalating demand for Cordyceps fruiting bodies and bioactive compounds prompts a shift toward sustainable artificial cultivation. While solid-state fermentation on brown rice remains a traditional method, liquid culture, especially submerged and surface/static techniques, emerges as a key industrial approach, offering shorter cultivation periods and enhanced cordycepin production. The review accentuates the adaptability and scalability of liquid culture, providing valuable insights for large-scale Cordyceps production. The future prospects of Cordyceps cultivation require a holistic approach, combining scientific understanding, technological innovation, and sustainable practices to meet the demand for bioactive metabolites while ensuring the conservation of natural Cordyceps populations. Graphical Abstract: (Figure presented.). The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
Krishna K.V.; Balasubramanian B.; Park S.; Bhattacharya S.; Kadanthottu Sebastian J.; Liu W.-C.; Pappuswamy M.; Meyyazhagan A.; Kamyab H.; Chelliapan S.; Malaviya A.
Krishna K.V., Applied and Industrial Biotechnology Laboratory, Christ University, Hosur Road, Karnataka, Bangalore, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, South Korea; Park S., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, South Korea; Bhattacharya S., Applied and Industrial Biotechnology Laboratory, Christ University, Hosur Road, Karnataka, Bangalore, India; Kadanthottu Sebastian J., Department of Life Sciences, Christ University, Bangalore, India; Liu W.-C., Department of Animal Science, College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, China; Pappuswamy M., Department of Life Sciences, Christ University, Bangalore, India; Meyyazhagan A., Department of Life Sciences, Christ University, Bangalore, India; Kamyab H., Department of Biomaterials, Saveetha Dental College, and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, 600077, India, Faculty of Social Sciences, Media and Communication, University of Religions and Denominations, Qom, Pardisan, Iran; Chelliapan S., Department of Smart Engineering and Advanced Technology, Faculty of Artificial Intelligence, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur, 54100, Malaysia; Malaviya A., Applied and Industrial Biotechnology Laboratory, Christ University, Hosur Road, Karnataka, Bangalore, India, QuaLife Biotech Pvt. Ltd, Bangalore, India
CHARACTER STRENGTHS INTERVENTIONS IN HIGHER EDUCATION STUDENTS: A LITERATURE REVIEW
Character strengths; Interventions; Positive psychology; Well-being
This review provides a comprehensive overview of interventions on character strengths in college and university students. Both qualitative and quantitative studies were reviewed. The review showed that focusing on character strengths leads to improved well-being, stronger interpersonal relationships, and reduced levels of stress, depression, anxiety, and academic pressure among students. The review also suggests that such interventions can be integrated into elective courses, first-year programs, and short-term training sessions tailored to address the specific needs of students. The interventions can offer a cost-effective alternative to traditional mental health strategies and could be implemented within college counseling centers. The limitations and practical implications of character strengths intervention modules designed specifically for college students are pointed out. By highlighting positive attributes and nurturing personal growth, character strengths interventions emerge as a valuable tool in bolstering the overall well-being of college students. The Author(s). All articles are licensed under the terms and conditions of the Creative Commons Attribution 4.0 International License (CC-BY 4.0 ).
Hellenic Journal of Psychology, Vol-21, No. 1, pp. 67-97.
Psychological Society of Northern Greece
https://doi.org/10.26262/hjp.v21i1.9891 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194915388&doi=10.26262%2fhjp.v21i1.9891&partnerID=40&md5=245e41a21fbc71a7ec313d9ca03935fc
Kulandaiammal R., Christ University, Bengaluru, India; Neelakantan M., Christ University, Bengaluru, India
Exploring the Use of the Therapists Self in Therapy: A Systematic Review
person of the therapist; Psychotherapy research; therapist factors; therapist self-disclosure; use of self in therapy
Purpose: This systematic qualitative review explored how psychotherapists use their self in therapy within the psychotherapy literature. It sought to examine the key documented ways through which the therapists self is intentionally used in therapy and the process of using the therapists self. Methods: Following PRISMA guidelines, databases including PubMed, ProQuest, APA PsycArticles, and APA PsycINFO were searched. The review question How do therapists use their self in therapy? guided the search using derivative keywords. Of the 149 screened articles, 20 underwent full-text review, and only four studies met inclusion criteria. Findings: All studies that met the inclusion criteria were from the West. Therapeutic self-disclosure (TSD) emerged as the primary way through which therapists used their self in therapynotably, the only way documented in the studies reviewed. Studies discussed the nature, rationale, influencing factors, and effectiveness of TSD. This article elaborates upon the themes from the reviewed studies. It critically examines existing literature, lists avenues for future research, and discusses implications for psychotherapy practice. Conclusions: The review underscores a significant gap in empirical qualitative research regarding therapists use of their self beyond TSD in therapy. There is an urgent need for further exploration in this domain. 2024 The Author(s).
Indian Journal of Psychological Medicine
All Open Access; Gold Open Access; Green Open Access
Alva M.H., Dept. of Psychology, Christ University, Karnataka, Bangalore, India; Antony S.P., Dept. of Psychology, Christ University, Karnataka, Bangalore, India; Kataria K., School of Human Ecology, Tata Institute of Social Sciences, Maharashtra, Mumbai, India
Shaping sustainable paths for perishable food supply chains - contemporary insights and future prospects
Bibliometric analysis; Food supply chains; Perishable; Sustainability
The pursuit for a sustainable system for perishable Food Supply Chains (FSCs) centres on delivering sustenance to potential stakeholders while minimizing environmental repercussions and conserving precious natural resources. Despite extensive literature review on process and quality in FSCs, the existing gap between research and industry practice still remains a challenge. A lack of comprehensive framework encompassing all stages of perishable FSCs and a dearth of understanding regarding consumer preferences and recent market trends emphasize the need for further research. The present study efforts to address the existing gap by employing an advanced bibliographical technique that categorizes emerging research trends and transcends conventional literature approaches. Through an extensive analysis, the present study objectives to scrutinize the current state of sustainability within perishable FSCs while also mapping out a blueprint for forthcoming research. This comprehensive exploration identifies five pivotal themes: Strategic Governance and Innovation, Consumer Attitudes and Short FSCs, Sustainable Supply Chains Network Design, Sustainable Supply Chains and Circular Economy, and Integration of Emerging Technologies. By probing into prescriptive content analysis, the study delves into research gaps and trends, providing an all-encompassing panorama of prior sustainable FSC research. Furthermore, the study concentrates on two generic research questions that pave the way for embracing sustainable approaches in the realm of perishable FSC research, thereby propelling the field towards a more impactful and sustainable future. The Author(s), under exclusive licence to Springer Nature B.V. 2024.
Shetty L.; Srivastava S.; Dwivedi A.; Pamucar D.; Patil A.
Environment, Development and Sustainability
Springer Science and Business Media B.V.
Shetty L., Operations and Decision Sciences, Christ University, Bengaluru, India; Srivastava S., Operations and Decision Sciences, Christ University, Bengaluru, India; Dwivedi A., Jindal Global Business School, O.P. Jindal Global University, Sonipat, India; Pamucar D., Faculty of Organizational Sciences, Department of Operations Research and Statistics, University of Belgrade, Belgrade, Serbia, Department of Industrial Engineering & amp; Management, Yuan Ze University, Taoyuan, Taiwan, Department of Mechanics and Mathematics, Western Caspian University, Baku, Azerbaijan; Patil A., International Management Institute New Delhi, New Delhi, India
Exploring ocean pH dynamics via a mathematical modeling with the Caputo fractional derivative
26A33; 34A34; 70K20; 92D40; Caputo fractional derivative; Global warming; Marine ecosystems; Mathematical model; Ocean carbon sink; Ocean pH; Predictorcorrector method
Global warming is a complex problem with far-reaching global implications. One of its notable repercussions is the escalation of CO2 levels in the atmosphere, resulting in the phenomenon known as Ocean Acidification (OA). In this research, we have established a correlation between four key factors: marine species, human population, CO2 levels, and ocean pH. By formulating a Caputo fractional differential equation, we investigated the dynamics of these variables to evaluate the significance of this climatic phenomenon. The model analysis reveals that the rise in anthropogenic CO2 emissions causes a reduction in the oceans pH level and increases OA.This process, in turn, decreases the oceans ability to absorb CO2, making it less effective in mitigating climate change. In this study, it was demonstrated that elevated levels of CO2 result in a reduction in pH levels, which in turn causes a decrease in the population of marine species that play a critical role in numerous economic sectors such as tourism, aquaculture, and fisheries. Moreover, we conducted a comprehensive analysis of the influence exerted by the intrinsic growth rate of the human population. We examined various theoretical aspects, including the assessment of existence and uniqueness. Numerical simulations are carried out to illustrate the effect of key parameters on the dynamics of the system using the generalized AdamsBashforthMoulton method. The Author(s) 2024.
Naik M.K.; Baishya C.; Premakumari R.N.; Veeresha P.
Journal of Umm Al-Qura University for Applied Sciences
Naik M.K., Department of Studies and Research in Mathematics, Tumkur University, Karnataka, Tumkur, 572103, India; Baishya C., Department of Studies and Research in Mathematics, Tumkur University, Karnataka, Tumkur, 572103, India; Premakumari R.N., Department of Studies and Research in Mathematics, Tumkur University, Karnataka, Tumkur, 572103, India; Veeresha P., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India
Review of Geopolymer Composites Synthesized Using Different Industrial By-products
Alkaline activator; Geopolymers; Industrial waste; Soil stabilizer; Unconfined compressive strength
Managing the substantial volume of industrial waste is challenging due to diminishing landfill capacity and associated risks to people and the environment. The optimal approach is to repurpose or find alternative applications for these waste products. Previous studies have investigated using industrial waste and chemicals to enhance soil stability. Common binders like cement, while offering significant stabilization potential, raise concerns about economic feasibility and environmental impact. Recently, theres a growing interest in low carbon emission cementing agents. This trend leads to using waste by-products for geopolymer binder production, potentially strengthening soft soil in an eco-friendly way. Unconfined compressive strength, vital in construction foundation design, has been a focus of extensive research to enhance soil strength over the years. This paper provides a brief overview of several studies that highlight the utilization of various industrial waste products in the synthesis of geopolymers. Also, this comprehensive review centers on investigations related to the application of geopolymers derived from industrial solid waste as a soil stabilizer. The review delves into the impact of various parameters, including different percentage mixes (%), molarity (M), temperature (T), curing time (days), on the unconfined compressive strength of the soil. It has been observed that, a variety of industrial by-products like Bagasse ash (BA), Blast furnace slag (BFS), Egg shell powder (ESP), Fly ash (FA), Ground Granulated Blast Furnace Slag (GGBS), Iron Ore Tailings (IOT), Metakaolin (MK), Palm Oil Fuel Ash (POFA), Recycled Asphalt Pavement (RAP), Rice husk ash (RHA), Red Mud (RM), etc. can serve as valuable source materials for geopolymerization. In most of the studies, the commonly utilized alkaline activator consists of a blend of sodium hydroxide and sodium silicate solution. The unconfined compressive strength of geopolymerized industrial waste products relies on specific parameters, including optimal alkaline concentration, activator liquid to raw material mass ratio, and sodium silicate to sodium hydroxide solution ratio. Diverse curing conditions are also necessary, varying with raw materials and activators. The Author(s), under exclusive licence to Chinese Society of Pavement Engineering 2024.
International Journal of Pavement Research and Technology
Anju M.J., CHRIST (Deemed to Be University), Bangalore, India; Beulah M., CHRIST (Deemed to Be University), Bangalore, India; Varghese A., Jyothi Engineering College, Thrissur, Cheruthuruthy, India