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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 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. -
The Evolution of Forecasting Techniques: Traditional Versus Machine Learning Methods
Forecasting is used effectively and efficiently to support decision-making for the future. Over time, several methods have been created to conduct forecasting. Finding a forecasting technique with the ability to provide the best estimate of the system being modeled has always been a challenge. The selection and comparison criteria for forecasting methodologies can be organized in a variety of ways. Accurate forecasting has a great demand for various fields like weather prediction, economic condition, business forecasting, demand and supply forecasts and many more. When deciding whether to utilize a certain model to predict future events, accuracy is very important. In every field, machine learning (ML) algorithms are being used to forecast future events. These algorithms can handle more complex data and make predictions that are more accurate. Based on the least values of forecasting errors, forecasters create a model to determine the best strategy for prediction. For centuries, forecasting has been used to assist individuals in making future-related decisions. In the past, forecasts were based on intuition and experience, but as technology has advanced, so have forecasting methods. Currently, advanced ML models and methods for data analysis are used to provide forecasts. To forecast the future, these models incorporate a range of inputs, including historical data, present trends, and economic indicators. Forecasting is a vital tool for businesses to employ when making future plans. It is used in a wide range of industries, from finance to weather prediction. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar. -
The evolution of currency: A comparative study of the barter system and cryptocurrency
The barter system, the oldest form of exchange dating back to human civilization, involves directly exchanging goods and services without using money. However, it comes with limitations, such as the requirement for a double coincidence of wants, difficulties in valuing goods and services, and the absence of a store of value. Over time, various forms of money emerged to overcome these limitations. Commodity money, like gold and silver, gained value due to their rarity and intrinsic worth. Later, fiat currencies were introduced, backed by trust rather than physical commodities. In contrast, cryptocurrency, a new digital currency not issued by any central authority, relies on blockchain technology for secure and anonymous transactions. This paper traces the evolution of currency from medieval times to the present digital era and explores the differences between the barter system, fiat currency, and cryptocurrency. It also delves into the potential of cryptocurrency to revolutionize our perception of money. 2024, IGI Global. All rights reserved. -
The evaluation of the electrochemical properties of Co3O4 nanopowders synthesized by autocombustion and solgel methods
The present investigation involves two synthesis methods, autocombustion (Co3O4-AC) and solgel (Co3O4-SG), for producing nearly spherical-shaped and polygonal shaped nanomaterials of spinel cobalt oxide (Co3O4) respectively as electrode materials. TEM image analysis unveiled distinct particle morphologies for the two samples. The Co3O4-AC particles exhibited a nearly spherical shape, whereas the Co3O4-SG particles displayed a polygonal shape. The phase purity of the Co3O4 samples were confirmed via XRD patterns analysis and the crystallite size was calculated to be 44nm for Co3O4-AC and 36nm for Co3O4-SG. The surface area, estimated via BET experiments, of Co3O4-AC was found to be 15m2/g, while Co3O4-SG exhibited a slightly lower surface area of 11m2/g. Co3O4-AC exhibited a higher specific capacitance (Cs) of 162F/g at 0.25A/g, indicating its superior energy storage capability. On the other hand, Co3O4-SG shows a Cs of 98F/g, indicating slightly lower performance compared to Co3O4-AC. Both nanomaterials exhibited better stability, with more than 85% capacity retention after 5000 chargedischarge cycles. 2023, The Author(s), under exclusive licence to the Institute of Chemistry, Slovak Academy of Sciences. -
The Evaluation of Security and Privacy Components in the Context of Peer-To-Peer Power Trading Methodologies using Network Intelligence
The widespread implementation of renewable energy sources, along with a more proactive approach to managing electricity use, is causing a shift in the way power systems operate and electricity is traded in the market. The P2P economy in particular is benefiting from this change. To efficiently handle the fast changes in renewable power generation at the distribution network level, a local market mechanism that can adapt is required. The efficient and safe operation of the distribution network is also bound to be affected by the extensive adoption of P2P energy trading. This study presents a new paradigm for P2P power trading that accounts for constraints imposed by distribution network security. Specifically, the design makes use of the generalised quick dual ascent method. The article lays out the groundwork for an event-based local peer-to-peer market, which would facilitate rapid and efficient energy swaps inside a certain region. The next step in making sure the distribution system is secure is to evaluate the impact of peer-to-peer transactions on the network using the nodal voltage and network loss in relation to nodal power injections. This allows for an internal determination of how to distribute the costs of P2P energy trading and the incorporation of the external operating constraints. Distributed market-clearing is also applied efficiently by means of a universal quick dual ascent technique. The numerical results show that the proposed model can implement P2P energy trading securely into the distribution system. Furthermore, the method for solving the problem shows remarkable efficiency in achieving convergence. 2024, Auricle Global Society of Education and Research. All rights reserved. -
The ethics of collaborating with social media influencers: Influencers and psychological well-being
This study highlights the importance of placing influencers' psychological well-being as a top priority in influencer marketing. In light of the growing influencers' impact on brand perceptions and consumer behavior, addressing their obstacles is crucial to promoting an ethical and sustainable ecosystem. The demands of upholding genuineness and regulating personal limits can profoundly affect the psychological well-being of influencers. Acknowledging and giving precedence to the welfare of others is an ethical obligation and a critical factor in ensuring sustained success in collaborative endeavors. Suggested ideas for a genuine brand-influencer partnership encompass advocating for mental well-being and fostering open and honest communication. These suggestions can cultivate a more accountable, enduring, and genuine influencer marketing ecosystem. 2024, IGI Global. All rights reserved. -
The Employees Demographic Profile of Startups in India with Special Reference to Bangalore City: A Case Study
In the current scenario, startups play a pivotal role and exert a significant influence on the promotion of economic growth. Authorities perceive their substantial impact, considering factors such as job creation, economic development, and contributions to technological upgrading (Thornton and Assocham in Startups Indiaan overview, 2016; Jain in Int J Appl Res 2:152154, 2016; Sarangi in Why do most Indian startups fail? Computer Science and Engineering, Indian Institute of Technology, Delhi, 2015). There has been a noteworthy effort to promote entrepreneurship through the establishment and support of various incubation centers. Despite the positive reception and development initiatives, the alarming startup failure rates in India persist due to various reasons. Available data indicates that 12 states in India have 1000 recognized startups each, with Karnataka being particularly well-recognized for progress and brand creation, especially in the city of Bangalore. In light of this, the study aims to identify the demographic profile of employees in startups in India, with a special focus on Bangalore city. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
The Empirical Analysis of Machine Learning Approaches for Enhancing the Cyber security for better Quality
In recent years, there have been significant advances in both technologies tactics so in area of cyber security, with (ML) machine learning at the forefront of the transformation. It is the ability to obtain security event characteristics or findings from cyber security information and then develop a matching information model that will allow a security system to become autonomous and smart. The widespread proliferation and the usage of Web and Smartphone applications has increased the size of cyber world as a consequence. When a computerized assault takes too long to complete, the internet becomes vulnerable. Security measures may be improved by recognizing and reacting to cyber-attacks, thanks to cyber security techniques. Security measures that were previously used aren't any longer appropriate because scammers have learned how to evade them. It is getting more difficult to detect formerly unknown and unpredictable security breaches, which are growing more widespread. Cyber security is becoming more dependent on machine learning (ML) techniques. Machine learning algorithms' dependability remains a major challenge, given its continual advancement. It is possible to find malicious hackers in internet that are ready to exploit ML defects that have been made public. A thorough review of machine learning techniques safeguarding cyberspace against attacks is provided in this paper, which presents a literature review on Cyber security using machine learning methods, such as vulnerability scanning, spam filtering, or threat detection on desktop networks as well as smart phone networks. Among other things, this paper provides brief descriptions of each machine-learning technique and security info, essential machine-learning technology, and evaluation parameters for a classification method. 2022 IEEE. -
The emerging role of innovative teaching practices in tourism education in the post-COVID-19 era
The education sector has undergone a tremendous transformation during the last few decades with the advancement of information and communication technology. Traditional methods of teaching and learning are replaced with modern technology enabled methods such as virtual reality, 3D images and videos, augmented reality, and gamification. Tourism education involves learning about geographic regions, destinations, and sightseeing. The shift from offline mode of teaching to a completely online and digital platform during the COVID-19 pandemic has further accelerated the need to include such innovative practices in teaching and learning. This chapter focuses on the potential benefits of enabling technology infused teaching and learning methods and their implications on improving student motivation and engagement. 2023, IGI Global. All rights reserved. -
The Emerald Handbook of Destination Recovery in Tourism and Hospitality
Featuring a broad geographical range of examples and pan-disciplinary perspectives, The Emerald Handbook of Destination Recovery in Tourism and Hospitality is an essential reference and illuminating guide on developments in the theory and practice of tourism development post-pandemic. 2023 Priyakrushna Mohanty, Anukrati Sharma, James Kennell and Azizul Hassan. -
The elements of culture and their effectiveness in advertising /
Advertisements are considered to be one of the most effective ways of promoting a product or a service. Though it has a high impact on people on its own, it uses different techniques to attract its viewers. One of the effective ways of penetrating a consumer's mind has been through his/her culture. Culture has been present in all advertisements since years. Cultures in advertisements were either set to change the audiences' or the local culture was incorporated in advertisements for a better impact. -
The efficient fractional order based approach to analyze chemical reaction associated with pattern formation
The investigation of the nonlinear models and their complex nature with generalized theory associated to material and history-based properties is a motivation for the present work. The mathematical model describing the chemical reaction, namely BelousovZhabotinsky (BZ) reaction is examined in the present work using the efficient numerical method. For the obtained numerical results, the change of color and patterns formation is presented in a different order. The impact of the rate change is presented for the diverse associated parameters. For the considered system, the boundedness, stability, existence, and other dynamical conditions are derived. The consequences of generalizing the model within the fractional order are derived. The present study helps researchers to investigate complex real world problems and predict the corresponding plans to be made using the efficient approach. 2022 Elsevier Ltd -
The Efficiency of Ensemble Machine Learning Models on Network Intrusion Detection using KDDCup 99 Dataset
With the advent of data communication the increased usage of the technologies results in network intrusions and associated attacks. Consequently, the data violation rates are increased abundantly and that sacrifices Confidentiality, Integrity and Availability. This article focused on the network Intrusion Detection System (IDS) that detects various attacks and types. Machine learning (ML) has the potential to spot known-experience and Zero-day attacks. Consequently, the article has considered ML and ensembled models for the various attack classification. The major contributions of the current article are 3-fold. Initially, to understand the relevance and sufficiency of the dataset through exploratory data analysis. Second, the comprehensive understanding of the various attacks, its nature, various types and classifications and finally, the empirical analysis of the dataset through the potential of various ML models. The article utilized various discriminative models for the execution and all of the models have shown better accuracy. The tree-based ensemble model, Random Forest has outperformed the rest of the models with higher accuracy in the training and testing samples of 99.997 % and 99.969 % respectively. 2023 IEEE. -
The Efficacy of Multi-Component Intervention for Adolescents with Problematic Video Gaming in a Community-Based Setting
Video gaming is a popular leisure activity enjoyed by millions globally, helping with socialisation, interaction, and relieving stress. It may also become a maladaptive coping mechanism to evade distress and negative emotions, leading to problematic usage. Research evidence shows that problematic gaming is associated with different psychosocial issues. Video games can be a way of negative coping and escaping reality, and problematic usage can hide other problems of players in real life. Adolescents are vulnerable to problematic use due to their developmental stages, and those with specific vulnerabilities and disabilities are at greater risk. No one psychotherapy has all the answers, and the multi-component intervention technique might have better treatment utility than a solitary behaviour intervention. The research aims to show the effectiveness of the intervention for problematic video game usage in a community-based setting. The study focuses on adolescents in seventh through ninth grade who were identified as problematic video gamers (not addictive users) from a selected group of schools in Kerala. The study employed an experimental design, encompassing both intervention and control groups, to systematically assess the effects of the experimental manipulation and establish a baseline measurement. The paired t-test results showed no significant decrease in the intervention groups Gaming Addiction Scale at the post-test, but it did lower the addiction scores. By conducting the research, we provide psychological care for adolescents and help them identify and prevent problematic gaming experiences. The research underscores the significance of early identification and prevention of problematic video game usage among adolescents, advocating for a holistic approach incorporating diverse components. 2024 selection and editorial matter, Dr. Sundeep Katevarapu, Dr. Anand Pratap Singh, Dr. Priyanka Tiwari, Ms. Akriti Varshney, Ms. Priya Lanka, Ms. Aankur Pradhan, Dr. Neeraj Panwar, Dr. Kumud Sapru Wangnue; individual chapters, the contributors. -
The effects on the financialand economic status of the country in covid pandemic @ its damages on human health /
Patent Number: 202241013748, Applicant: Dr. Ravikumar T.
The enhanced chi-square goodness of fit for the COVID-19 pandemic scenario is developed, and the proposed method is used to assess the increased testing rates in India and significant improvement in the COVID-19 medical sector. India has a population of approximately 1.39 billion people and is extremely densely inhabited in contrast to other countries. The current male population of 51.6 percent and the male population of 48.4 percent in areas with an overall low economic status have all posed significant challenges to India's first campaign against the COVID-19 hotspot. -
The Effectiveness of Micro Finance Institutions on Socio-Economic Development of Women in Karnataka
International Journal of Research in Commerce, Economics & Management, Vol-2 (11), pp. 74-77. ISSN-2231-4245 -
