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The Future of Banking: Leveraging AI for Business Transformation
Artificial intelligence (AI) has moved the banking sector into a new era, offering unmatched channels to improve efficiency, risk management, and customer experiences. The research delved into the role of AI in banking, particularly the applications, challenges, and implications. Descriptive research design is used to describe the acceptance rate of banking customers toward leveraging AI in Banking transactions through theTechnology Acceptance Model (TAM) to prove the hypothesis thatAttitude Towards Using AI mediates the individual effects of Perceived Usefulness, Perceived Ease of Use, and Perceived Risk with Behavioural Intention. The primary data was collected from 385 banking customers using the purposive sampling technique by circulating astructured questionnaire. This research shows that AI brings about more benefits than challenges, but it is crucial to handle the latter carefully to enable sustainable sectoral growth. The empirical results support theexistence of a promising environment for AI adoption in thebanking industry as there the customers show a positive behavioural intention. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
The Fusion of Co-Branding and Digital Fashion: Transforming Smart Luxury Products in the Digital Era
In the evolving landscape of luxury products, co-branding strategies and digital fashion integration have become essential tools for enhancing brand value and consumer engagement. Smart luxury products, which incorporate advanced technology, require a unique blend of traditional craftsmanship and digital innovation to maintain exclusivity while catering to tech-savvy consumers. This chapter explores the strategic collaborations between luxury brands and technology firms, analysing their impact on brand equity, consumer perception, and market performance. It examines case studies of successful co-branding initiatives and evaluates the role of digital fashion in enhancing personalization and sustainability in luxury consumption. 2026, IGI Global Scientific Publishing. All rights reserved. -
The Fusion of CNN and MLP Algorithm as High-Performance Classification for Identification of Healthy and Unhealthy Leaves
In this study, it encapsulates the results of the work carried out with the Convolutional Neural Network, Multi-layer Perceptron, and hybrid of CNN and MLP classifier for the recognition of a tea leaf. The leaves are categorized into distinct classes by analysis and identification and recognition, which benefits both the buyer and the farmer by enabling the seller to sell tea leaves based on the quality of the leaf. Nowadays there is more advancement in the field of agriculture. But it is always the latest subject to study in the field of agriculture for the analysis and to identify quality of leaves. Many AI methodologies can be used for identification and recognition and further their fusion with different techniques or methods that can be applied to address the issue and to acquire the better accuracy. In this CNN, MLP and the hybrid of CNN-MLP are employed for determining the accuracy and this can further help in classifying the leaf in different grades like best quality, average quality, and worst quality, as for the future scope. Then the feature selection algorithms are implemented based on the different selection methods such as ANOVA, information gain, feature importance, and the random forest, which will reduce the number of parameters, at the end classification is carried out for identification of the leaf. 2026, Greater Mekong Subregion Academic and Research Network, Asian Institute of Technology. All rights reserved. -
The fractional-order marriagedivorce mathematical model: numerical investigations and dynamical analysis
In this research, we present a fractional-order mathematical model that simulates the ongoing phenomenon of marriage and divorce, which significantly impacts human lives. The model is defined within the LiouvilleCaputo framework and incorporates different states and parameter values. Specifically, the model consists of four state variables that describe the statuses of married, divorced, or troubled couples, as well as the interactions between these states. We conduct a stability analysis for the proposed model and calculate the equilibrium points, revealing the conditions for a stable solution. Moreover, we establish the existence, uniqueness, and boundedness of the models solution using the Banach fixed point theorem. The global stability of the obtained equilibrium points is investigated using the Lyapunov function, revealing a globally stable solution with specific conditions. To obtain the results, we employ a multi-domain collocation technique that utilizes orthogonal generalized Romanovski polynomials. These polynomials offer the advantage of achieving higher-order accuracy without requiring a large number of basis functions. We assess the accuracy of the proposed technique by calculating the residual error. Furthermore, we conduct simulations with various parameter values and fractional orders to demonstrate the techniques effectiveness under different scenarios. The results confirm the techniques ability to provide accurate outcomes across multiple scenarios. To enhance result validation, a comparison with real data from the USA is introduced for both married and divorced individuals. This elucidates the significance of the proposed fractional model in providing a deeper understanding of the dynamics and behavior of the solution and its impact on the populations lives. By introducing and analyzing this model, this research contributes to a deeper understanding of the dynamics and implications of marriage and divorce phenomena. The Author(s), under exclusive licence to SocietItaliana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2024. -
The FPTC act, 2020 a blinkered vision
In the name of empowering farmers, the Farmers' Produce Trade and Commerce (Promotion and Facilitation) Act, 2020 has displayed a blinkered vision of an integrated supply chain-by undermining the importance of Agricultural Produce Market Committee markets in a competitive and inclusive agri-food market system. By overlooking many important aspects, the law has taken a quantum leap in the wrong direction. 2021 Economic and Political Weekly. All rights reserved. -
The flow analysis of Williamson nanofluid considering the Thompson and Troian slip conditions at the boundary
In this article, the impact of Joule heating on the thermal performance of Williamson nanofluid is analyzed under the influence of viscous dissipation along with the Joule heating. Also, the flow is subjected to Thompson and Troian slip conditions that directly influence the velocity of the flow at the boundary. Meanwhile, to achieve the even distribution of nanoparticles in the nanofluid, gyrotactic microorganisms are dispersed whose motion is due to the virtue of density gradient. The heat conduction at the surface is governed by the convective condition which allows the interpretation of the Biot number. The mathematical model is constructed employing these presumptions using partial differential equations, which are then subsequently reduced using similarity transformations to get the ordinary differential equations (ODEs). The RKF-45 numerical approach is used to solve the nonlinear ODE system thus acquired, and the findings are validated by comparing them to the previously published works. The results of this study showed that the higher values of thermophoresis and Brownian motion parameters cause more heat conduction. Also, the rise in the Eckert number that relates to the internal friction enhances the temperature conducted by the nanofluid. Meanwhile, the Lorentz force helps in controlling the flow velocity. 2023 Taylor & Francis Group, LLC. -
THE FEDERAL DYNAMICS OF INDIAN FOREIGN POLICY: Issues, Concerns and Trends
Participation of regional governments in foreign policy is a global phenomenon, which has been described as constituent diplomacy or Para diplomacy. It is a phenomenon that includes a cocktail of factors like globalisation, economic liberalisation, diffusion of technology and the decentralisation of political power. Dependence of coalition governments on regional parties in India has resulted in a subtle power shift when it comes to foreign policy prioritisation and perceptions. There is a new activism in the making and implementation of Indian foreign policy. The chapter analyses the domestic imperatives impacting on India's foreign policy. The assertion and expectations of regional parties have been contingent on the leverage they have within a coalition like the NDA and the UPA. States are now even bringing foreign and security issues to the bargaining table, thereby providing the regional parties a variety of participatory opportunities. Conduct of India's foreign policy is no longer the exclusive domain of the federal government in India. At any given time, domestic compulsions influence how states act and react to various foreign policy issues and events, and hence engaging state governments in foreign affairs can be a force multiplier for Indian foreign policy. 2024 selection and editorial matter, M.J. Vinod, Stefy V Joseph, Joseph Chacko Chennatuserry and Dimitris N. Chryssochoou; individual chapters, the contributors. -
The feasibility analysis of load based resource optimization algorithm for cooperative communication in 5G wireless ad-hoc networks
Efficient allocation of resources is crucial in wireless ad hoc networks (WANETs) as spectrum assets are costly. Cooperative communications were introduced as a solution to the problem of limited spectrum availability. In this approach, numerous nodes share their resources and increase the bandwidth available to end-users. This research investigates the practicality of a new algorithm that optimizes resources based on load for Cooperative Communications in 5 G WANETs. The algorithm consists of two components. Initially, a distributed algorithm for forming a topology is suggested. This algorithm employs a load-based approach to explore network conditions and efficiently choose the most suitable topology. An optimization algorithm that relies on a greedy strategy is suggested. In this approach, the chosen nodes send their bits to the receiver to maximize the attainable system throughput. A thorough simulation study is conducted to evaluate the overall performance of the proposed algorithm in assessing existing methods. The proposed model obtained 94.72 % energy efficiency, 91.69 % network throughput, 94.72 % spectrum utilization, 27.47 % network delay, 24.08 % packet loss rate, 94.38 % signal-to-noise ratio, 93.91 % data transfer rate, 95.87 % error detection rate, and 94.28 % link reliability rate. The results demonstrate that the suggested algorithm significantly enhances the system and the overall network performance compared to existing approaches. The proposed approach is feasible and environmentally friendly for optimizing bandwidth in 5 G wireless ad hoc Networks. 2024 The Authors -
The family strengths of the Lambhanis of Bellary district /
The study titled The Family Strengths of the Lambhanis of Bellary District aimed at identifying and exploring Family Strengths of the Lambhanis their perpetuation. The study was based on the Family Strengths Model using an Interpretivistic Research Philosophy and a Grounded Theory Research Paradigm within a Qualitative Framework. The sample of the study was taken through a key informant. The participants were from Dasarhalli Thanda, Bellary District, Karnataka. They were all adults both men and women. Three Focus Groups were conducted and the interviews were unstructured, data was collected until Data Saturation was reached. The data was recorded/taped, translated and transcripts written. The data gathered was then coded based on the Grounded Theory Method proposed by Strauss and Corbin (1998). -
The Factors Impacting Parental Choice in Picking Non-public Schools for Their Children
The purpose of the study was to investigate the school related factors influencing parental choice of private schools in the city of Bangalore. The study intended to analyze factors affecting parents choice of private schools in Bangalore, to discuss the extent to which various factors influence parents choice of private schools. The study used descriptive survey design. The target population of this study consisted of all parents of students studying in private primary schools in the city of Bangalore. A total sample of 180 parents was drawn purposively from Bangalore. The tool used for collecting the data was a self-constructed questionnaire which included 32 statements were prepared on the basis of a 5-point Likert scale. The study identified seven distinct factors affecting the parents decision of choosing a private school. Among these the factor that was seen to have most significant influence on parents decision to choose a private was school environment. The second most important factor that parents considered was the School quality. Third, parents considered curricular activities offered by school. Next, parents considered Quality of instruction while choosing a school. However, student welfare, parental involvement and proximity to the area of residence were considered less important by parents when choosing a school. The Author(s) 2021. -
The facile and efficient organocatalytic platform for accessing 1,2,4-selenadiazoles and thiadiazoles under aerobic conditions
The first organocatalytic approach towards synthesis of rarely explored 1,2,4-selenadiazole and thiadiazole scaffolds have been devised using corresponding carboxamides as substrates. The transformations were realized using two distinct conditions in the presence of catalytic vitamin B3 or thiourea under aerobic conditions. Developed methods overcome the associated limitations of previous reported approaches and the desired products were obtained in high yields and selectivity without the formation of toxic side-products. 2018 Elsevier Ltd -
The Experience of Transition From Being A Breast Cancer Patient to Survivor: Treatment Experience of Naturopathy/ Yoga
Women's experience of breast cancer and conventional treatment is challenging and demanding. The period after completion of first line of treatment for the removal of cancer, is known to be stressful. Women have to rebuild their life by accepting their illness and the limitations it brings on. They suffer from a wide range of psycho social issues such as low self esteem, body image concerns, difficulties in role functionality, added to which they must also deal with residual symptoms and a compromised state of health after undergoing invasive treatments such as surgery/ chemotherapy. The treatment plan does not adequately address these concerns which are critical for adjustment to life after treatment. Many women are increasingly looking for alternative treatments for support, which reflects their unmet needs. Naturopathy functions in a holistic domain that aims to help patients move towards a better state of health and treats every individual's experience as unique. Hence the present study aimed to understand the process of transition from being a patient to becoming a survivor, focussing on the treatment experience of Naturopathy. Six women participated in semi structured in-depth interviews and provided details about their life. Based on the phenomenological approach, data was analysed using Interpretative Phenomenological Analysis. Themes that emerged have been organised into Life before diagnosis, Living with cancer and Surviving breast cancer, in order to understand the meaning participants' attached to their whole experience. Participants of the study found the treatment experience of Naturopathy to be helpful in enabling their transition towards becoming a survivor and regaining a sense of normalcy in their life. They associated positive feelings/ emotions during the process of therapy, and felt empowered through a greater sense of awareness and control over their body/mind Key words: Naturopathy, Breast cancer, Treatment experience, Cancer Survivorship -
The Experience of Meditation among Long Term Sahaja Yoga Practitioners and its Role in Facilitating Well Being and Managing Stress
Meditation is increasingly becoming a popular practice and is used as a strategy for stress management, coping with illness and spiritual growth. It is estimated that meditation is being practiced by a hundreds of millions worldwide (Deurr, 2004). However, results of the published studies on meditation have often been interpreted to be inconsistent (Shear, 2007). This could be attributed to the modification and westernisation of the original ancient meditation practice (Manocha,2008). Also, it is not clearly understood how the experience of meditation leads to stress management and well being. Hence, Sahaja yoga which is based on the classical understanding of meditation and begins with Self realization or Kundalini awakening was chosen for investigation for the present study. The present study aims to understand the experience of meditation among long term meditators and understand its role in facilitating well-being and management of stress. To achieve this 6 long term meditators were interviewed using a semi-structured interview guide and were also requested to make diary entries of their daily meditation experience. All the participants were full time working adults. Interpretative phenemonological analysis was used to analyse the interview transcripts. The results of the study indicate that Sahaja yoga meditation practice aids its practitioners to attain thoughtless awareness and experience ??Sahaja and ??witness states which is accompanied by experience of indescribable bliss and peace. These states were found to create a sense of well-being among the practitioners and also had a significant role in facilitating physical, psychological, social and spiritual well-being and helped in the management of stress as well. Since, participants found it easy to balance it with work and family responsibilities it can be recommended for working adults. Key words: meditation, Sahaja yoga, stress, well-being. -
The Experience of Flow among Kathak Dancers
Flow is a state of optimal experience proposed by Mihalyi Csikszentmihalyi (1975). Flow is the holistic experience that people feel when they act with total involvement and is characterized by intense engagement and enjoyment. The flow state has been explored diverse contexts such as art, music, theater, education and sports. The main contribution of flow studies to positive psychology involves adding value, purpose and enjoyment to subjective experience, thereby leading to a richer and intentional life existence. Dance is one such activity that increases enjoyment by integrating ones awareness with oneself and the surroundings. Kathak is a form of North Indian Classical dancing that lays emphasis on speed and rhythm. The present study aims to analyze the experience of flow in the context of Kathak performance. It also seeks to describe the experience of flow by linking challenge in the performance and skill of the dancer, the importance of feedback in performance and the unique competencies that enable a person to enter and maintain the state of flow. Seven Kathak dancers from Bangalore were interviewed in order to analyze how they experience flow. The research paradigm employed was phenomenology and in-depth interviews were used to gather data. Thematic analysis was the technique used in the study to generate themes. The findings of the study state that the dancers perceive Kathak as a challenging dance. The dancers perception of their skills influences their flow experience during performance. The Guru was seen to be an influential person whose feedback was considered valuable. The response from the audience and the dancers own self reflection were also important sources of feedback. The dancers had identified different purposes for performing Kathak. They were all motivated by their inner drives. The dancers also experienced a transformation from their personal selves when they were immersed in the dance. Self-confidence was seen to be an important facilitator of flow whereas anxiety was seen to be a major inhibitor. The results will be able to help dancers understand the importance of optimal experiences during dancing. An awareness of the what facilitates and inhibits flow can lead dancers to intentionally work on having clearer goals, better concentration, less self consciousness and raising the challenge level for themselves. The findings can be applied to dance therapy and also contributes to both research of dance and the relationship between dance and psychology in India. Keywords: Flow, experience, Kathak, challenge, feedback. -
The Experience of Divorce: The Emotional conflict and coping among divorced young adults
Divorce is the termination of marriage to a legally wedded marriage between a man and a woman. Divorce is fast becoming a common factor among young couples these days. Even though divorce is a way out for the struggling marriage, it is traumatic for most of the individuals who separate from their partners. This study is to capture the experience that every spouse goes through during and after divorce. The first two chapters explain divorce from the previous study undertaken to put into a perspective about the study on divorce. And the subsequent studies on coping and the consequences of coping by the divorcees. This study aims to focus on how they manage to cope and face their marital breakdown. Thereafter how they pick their lives and proceed with their new life after separation. The divorce experience of 12 males and females were recorded and explored through thematic analysis. The findings have indicated that the experience of divorce is traumatic and painful. It takes time for them to get over that bitter experience of divorce. The study highlights various coping strategies enabling the divorced to adapt to life after separation. Keywords: Emotional conflicts, Coping and consequences of coping -
The Executive Copilot: Investigating the Impact of Generative AI Assistants on Strategic Decision-Making, Leadership Efficiency, and Managerial Creativity
The generative artificial intelligence (AI) revolution has given rise to a class of technology - executive copilots that are designed to unclog the brains of overworked managers in the 21st century. This paper examines the effects of generative AI assistants on three intertwined facets of executive performance - strategic decision making, leadership effectiveness, and managerial creativity. Early literature suggests that AI systems could automate administrative tasks and offer data-driven insights; however, we still lack an understanding of their comprehensive impact on executive tasks and outcomes. To bridge this gap, the study uses a multimethod research design, drawing on survey data from 350 senior executives from various firms, controlled experimental studies of strategic problem solving, and in-depth case analysis of firms in finance, consulting, and technology sectors. Results suggest that AI copilots contribute significantly to faster decision-making and creative output by helping to synthesize information and sparking divergent thinking rapidly. Consistent with this, results reveal that a potential 'caveat' of overreliance on AI-generated recommendations might lead to less scrutiny and thus the fragility of the high-stakes decision-making in practice. Theoretically, the study extends the leadership augmentation theory to the context of generative AI. It extends the conceptualization of the executive copilot in terms of a complementary agent that adjusts the boundary of human-machine collaboration. Pragmatically, it has implications for executive education, corporate governance, and the design of responsible AI uptake strategies. Through methodical analysis of opportunities and risks, this study offers a nuanced view of how executive copilots change leadership practice in the era of intelligent augmentation. 2025 IEEE. -
The Evolving Role of AI in Cybersecurity Insurance: Enhancing Risk Assessment and Threat Detection
Cybersecurity insurance is a very important defense against data breaches, cyberattacks, and AI-powered system failures. As the use of AI becomes more widespread in business operations, insurers are now assessing emerging risks such as algorithmic errors, adversarial attacks, and data manipulation. As the cybersecurity insurance industry grows, organizations need to implement AI-specific safeguards to mitigate vulnerabilities. This study uses a mixed methods approach, by incorporating qualitative case studies for the integration of AI in claims processing with quantitative analysis on AI-driven risk assessment models. The method will be based on surveys, expert interviews, and real insurance claim analysis. Important goals involve the improvement of assessments of risk, underwriting, and claims processing through AI. Case studies of AI-enabled threat detection tools, including Darktrace, Microsoft Sentinel, and Google's phishing detection, demonstrate the AI impact in cybersecurity. 2026 by IGI Global Scientific Publishing. All rights reserved. -
The Evolving Prospects of Bharatanatyam: An Enquiry on Changing Religious Landscape
As cultural boundaries expand, symbols of cultural identity, like dance forms, evolve in terms of content and practice. Bharatanatyam, originally a temple dance, originated in the Hindu culture and had long been considered a religious art. However, the art form has gradually expanded its scope beyond its religious context. Contemporary evidence suggests that artists increasingly engage in performances addressing themes that are secular and even compositions based on other religious beliefs, but not without challenges. This article brings to light the evolving religious aspects of Bharatanatyam and investigates novel elements being introduced by cross-religious practices, such as thematic innovations, choreographic patterns and symbolic representations. By analysing data from in-depth interviews with twenty artists from diverse religious backgrounds, the authors argue that religious conservatism in society hinders the evolution of art forms such as Bharatanatyam that have the potential to adapt across and beyond religions. Edinburgh University Press. -
The Evolution of Interindustry Technology Linkage Topics and Its Analysis Framework in Three-Dimensional Printing Technology
The mutual influence and complementarity of technologies between different industries are becoming increasingly prominent. Revealing the topic evolution of technology linkages between industries is the foundation for understanding the technological development trend of the industry. Although numerous works have focused on technology topic mining and its evolution characteristics, these works have not accurately represented the interindustry technology linkage, analyze the related topics and even ignored the technological development characteristics hidden in the topic evolution pathway. Since the Lingo algorithm fully considers the time-series characteristics of the topics, and the knowledge evolution theory can reveal three inherent characteristics in the evolution of knowledge topics, namely, 'stability, heredity, and variability,' this article aims to combine the Lingo algorithm and the knowledge evolution theory to analyze the topic evolution of interindustry technology linkages. Additionally, because three-dimensional (3-D) printing technology has significant interdisciplinary and cross-industry characteristics, a wide range of application fields, and various interindustry technology linkages, 3-D printing technology is used for empirical analysis. The empirical results show that the key topics of interindustry technology linkages in 3-D printing include model design, manufacturing methods, manufacturing equipment, manufacturing material, and application. In addition, all these topics have the development feature of heredity. However, the topic of manufacturing materials presents significant variability, the topic of manufacturing methods has the strongest stability, and multiple subtopics of the five topics show variability and genetic intersection. 2023 IEEE.