Browse Items (432 total)
Sort by:
-
Prevalence of Cardiovascular Diseases in South Asians: Scrutinizing Traditional Risk Factors and Newly Recognized Risk Factors Sarcopenia and Osteopenia/Osteoporosis
One of the primary reasons for complications and death worldwide are cardiovascular diseases (CVDs), with a death toll of approximately 18 million per year. CVDs include cardiomyopathy, hypertension, ischemic heart disease, coronary heart disease, myocardial infarction, heart attack, hearth failure, etc. Over 80% of the CVD mortality is recorded from lower and middle-income countries. Records from the past decade have highlighted the increase of CVDs among the South Asian populations, and the prime purpose of the review is to jot down the reasons for the steep spike in CVDs. Studies analyzing the causative factors for the increase of CVDs in South Asians are still to be verified. Apart from known predisposing and lifestyle factors, other emerging risk factors associated with CVDs, namely the musculoskeletal diseases sarcopenia and osteopenia, should be tracked to tackle research gaps in upcoming analyses. This requires loads of scientific efforts. With proper monitoring, the raising alarm that the CVD burden generates can be reduced. This review discusses the already established signs and recognizes important clues to the emerging etiology of CVDs in the Asian population and prevention measures to keep it at bay. 2023 Elsevier Inc. -
Excited state intramolecular proton transfer dual emission Schiff bases for metal detection and cell imaging
Fluorescent probes incorporating the excited-state intramolecular proton transfer (ESIPT) phenomenon have emerged as versatile tools in scientific research. These probes exhibit dual emission, resulting from the unique transfer of a proton within the molecule upon excitation. This property makes ESIPT-based Schiff bases highly attractive for metal detection, cell imaging, and sensing biologically important molecules. In metal detection, the spectral changes of ESIPT-based Schiff bases upon interaction with metal ions enable the development of sensitive and selective sensors. For cell imaging, their photophysical properties make them ideal for labeling cellular components and facilitating multicolor imaging. In sensing biomolecules, ESIPT-based Schiff bases offer selective detection of interactions and enzymatic activities. Integration of these probes holds great promise for applications in environmental monitoring, biomedical research, and healthcare. This review focuses on the photoluminescent properties and application of ESIPT dual emission Schiff bases for sensing of metal ions, biologically relevant molecules and cell imaging. 2023 Taylor & Francis Group, LLC. -
Carbon Dot-Based Fluorescence Resonance Energy Transfer (FRET) Systems for Biomedical, Sensing, and Imaging Applications
Carbon dots (CDs) emerge as a potential group of photo-luminescent nano-materials due to their excellent optical, electrical, and chemical properties, as well as their competence in a wide range of environmental applications. CDs have unique and appealing properties such as excellent stability, low toxicity, water solubility, and derivability. When coupled with CDs, fluorescence resonance energy transfer (FRET) results in the development of highly sensitive ratiometric fluorescence sensor probes with potential applications in bio-imaging, metal sensing, membrane dynamics, and environmental sensing. In this review, the progress and recent developments in CDs based FRET systems utilized for various environmental applications are conferred. An in-depth description is provided regarding the numerous donor/acceptor systems which when integrated with CDs generate efficient FRET systems. The review enables researchers to identify and develop specific systems which can be utilized to generate a FRET pair with potential physicochemical properties that aid the development of the same for various applications. 2023 Wiley-VCH GmbH. -
Production of specialized metabolites in plant cell and organo-cultures: the role of gamma radiation in eliciting secondary metabolism
Purpose: To provide an updated summary of recent advances in the application of gamma irradiation to elicit secondary metabolism and for induction of mutations in plant cell and organ cultures for the production of industrially important specialized metabolites (SMs). Conclusions: Research on the application of gamma radiation with plants has contributed a lot to microbial decontamination of seeds, and the promotion of physiological processes such as seed germination, seedling vigor, plant growth, and development. Various studies have demonstrated the influence of gamma rays on the morphology, physiology, and biochemistry of plants. Recent research efforts have also shown that low-dose gamma (5100 Gy) irradiation can be utilized as an expedient solution to alleviate the deleterious effect of abiotic stresses and to obtain better yields of plants. Inducing mutagenesis using gamma irradiation has also evolved as a better option for inducing genetic variability in crops, vegetables, medicinal and ornamentals for their genetic improvement. Plant SMs are gaining increasing importance as pharmaceutical, therapeutic, cosmetic, and agricultural products. Plant cell, tissue, and organ cultures represent an attractive alternative to conventional methods of procuring useful SMs. Among the varied approaches the elicitor-induced in vitro culture techniques are considered an efficient tool for studying and improving the production of SMs. This review focuses on the utilization of low-dose gamma irradiation in the production of high-value SMs such as phenolics, terpenoids, and alkaloids. Furthermore, we present varied successful examples of gamma-ray-induced mutations in the production of SMs. Copyright 2024 Taylor & Francis Group LLC. -
A Prompt Study on Recent Advances in the Development Of Colorimetric and Fluorescent Chemosensors for Nanomolar Detection of Biologically Important Analytes
Fluorescent and colorimetric chemosensors for selective detection of various biologically important analytes have been widely applied in different areas such as biology, physiology, pharmacology, and environmental sciences. The research area based on fluorescent chemosensors has been in existence for about 150years with the development of large number of fluorescent chemosensors for selective detection of cations as metal ions, anions, reactive species, neutral molecules and different gases etc. Despite the progress made in this field, several problems and challenges still exist. The most important part of sensing is limit of detection (LOD) which is the lowest concentration that can be measured (detected) with statistical significance by means of a given analytical procedure. Although there are so many reports available for detection of millimolar to micromolar range but the development of chemosensors for the detection of analytes in nanomolar range is still a challenging task. Therefore, in our current review we have focused the history and a general overview of the development in the research of fluorescent sensors for selective detection of various analytes at nanomolar level only. The basic principles involved in the design of chemosensors for specific analytes, binding mode, photophysical properties and various directions are also covered here. Summary of physiochemical properties, mechanistic view and type of different chemosensors has been demonstrated concisely in the tabular forms. Graphical Abstract: In our current review we have focused the history and a general overview of the development in the research of fluorescent sensors for selective detection of various analytes at nanomolar level only. [Figure not available: see fulltext.] 2024, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
Exploring the Relationship between Environmental Cognition, Pro-Environmental Behavior, and Mental Health among Adolescents: A Narrative Review
Introduction: Adolescents cognition, behavior, and attitudes are essential for environmental conservation; hence, the physical environment is inevitable in their mental health. The environment can influence adolescents sense of support, freedom, and the stimulation they seek in life. Environmental factors such as pollution, weather, lifestyle changes, and working conditions significantly influence adolescents' mental health. Knowing and learning about environmental cognition and its influence on adolescents is vital. Objective: To understand the relationship between environmental cognition, pro-environmental behavior, and mental health among adolescents with the help of a narrative approach. Methods: The present article employed a narrative review. Research articles were taken from four databases, PubMed, Research Gate, Web of Science, and Science Direct, using the PRISMA procedure from 2000 to 2023. The data was collected from various databases and narrowed down for the results. Results: This study proves a strong relationship between environmental cognition, pro-environmental behavior, and adolescents' mental health. Twenty-six selected research studies out of 45 initial studies state that solid environmental cognition may lead to enhanced pro-environmental behavior, which is crucial to adolescents mental health and well-being. Furthermore, pro-environmental cognition wholly mediated the relationship between environmental behavior and mental well-being. Conclusion: Implications of this study concentrate on developing focused interventions, creating urban planning policies, and developing adolescent-friendly community designs, which are solid pillars for promoting mental health. Adolescents must be motivated to protect the environment to become pioneers of pro-environmental behavior. The Author(s). 2024 Open Access. -
Artificial intelligence for diabetic retinopathy detection: A systematic review
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 -
Dolastatins and their analogues present a compelling landscape of potential natural and synthetic anticancer drug candidates
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 -
Experience of psychic restructuring among refugees in the context of life in refuge
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. -
A conceptual framework for the worklife balance of police officers: a post-COVID-19 perspective
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. -
Influence of Mindfulness on Game Addiction-Mediating Role of Emotional Control
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. -
Text Mining-A Comparative Review of Twitter Sentiments Analysis
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. -
Utilizing social psychology to drive financial policy solutions: Addressing female feticide and infanticide
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). -
Understanding Agape Leadership: A Scoping Review
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 -
A Scoping Review on the Factors Affecting the Adoption of Robo-advisors for Financial Decision-Making
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. -
A Revitalising Approach towards Aging: Unveiling the Potential Use of Probiotics for Wellness in Elderly Populations
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. -
Analysis of Statistical and Deep Learning Techniques for Temperature Forecasting
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. -
Multi-criteria decision making (MCDM) in diverse domains of education: a comprehensive bibliometric analysis for research directions
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. -
Corporate social responsibility and its impact on organizational attractiveness: Unveiling the mediating role of perceived organizational support
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. -
Mainstreaming Northeast Tribal Women in India through Financial Education: A Systematic Review
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.