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Developing mathematical models to analyze economic growth patterns in emerging market dynamics
A key factor in determining national development and directing successful market strategies is economic growth. Making better judgements in developing countries is facilitated for investors and policymakers by having a better understanding of the main drivers of growth. The purpose of this paper is to use mathematical models to explain how economic growth patterns vary among the major growing nations. It examines the effects of inflation, foreign investment, trade, and current account balances on the GDP growth of five major economies India, China, Russia, Brazil, and South Africa between the year 2005 to 2025. The study presents how these variables connect to growth and vary among nations using techniques like logistic regression, linear regression, and ANOVA. TARU PUBLICATIONS. -
Developing employment capacity: The impact of academic student organization on the students core competencies
The purpose of this research is to understand the relationship between developing employment capacity with the enhanced core competencies by participating in student body organizations while pursuing their undergraduate degree program. This research aims at understanding the Communication Skills of the Students Core Competencies that are affected by their participation in the student organizations. This research aims at understanding the overall Character Development of the student by their participation in the student organizations. This research aims at understanding the Critical Thinking skills of the students core competencies that are affected by their participation in the student organizations. This research aims at understanding the Career Development skills of the students core competencies that are affected by their participation in the student organizations. This research aims at understanding how the development in the students core competencies help in improving the students employment capacity. This is an empirical study carried out using primary and secondary methods of data collection. Literature of relevant topics were gathered and studied to assist in the study. A questionnaire was circulated to 350 respondents in order to gather information. This study shows that the students who are actively involved in student organizations develop core competencies that help them during employment. The study has proved the students develop better skills which are very useful for their life. The limitations of the study are that all the students do not develop similar skills because they play various different roles in the student organizations. Some students are less involved and the research does not take into consideration the degree of involvement. The study aims to ultimately create a system that measures the students performance and involvement in the organizations. The university can motivate students and encourage them to be more enthusiastic about participating in student organizations. 2020, Institute of Advanced Scientific Research, Inc.. All rights reserved. -
Developing Critical Thinking Skills Among Secondary School Students: Need of the Hour
Golden Research Thoughts, Vol-3 (2), pp. 1-3. ISSN-2231-5063 -
Developing authentic thought leaders through the DREAMS model of social action
DREAMS is a three-year curriculum-based after-school intervention program for enhancing leadership qualities among the underprivileged and college/university youngsters. It is an innovative model providing a platform for the mentors and the mentees to share their thoughts and knowledge and create a future generation with a growth mindset. The current world is expecting authentic thought leadership among its workforces. This leadership would help the constantly changing world to guide and lead the followers effectively for a better outcome. This study explores the impact of the DREAMS intervention program by Christ University in entrenching authentic thought leadership among its undergraduates. The study employs a qualitative approach to explore the perceptions among Christ University undergraduates about the contributions the DREAMS has made to their leadership development. The study finds evidence that DREAMS initiatives at Christ University have transformed undergraduates into authentic thought leaders. 2024 Nova Science Publishers, Inc. -
Developing anticipatory and cognitive skills for sustainable management
This chapter's subject is integrating cognitive and anticipatory abilities, systems thinking proficiency, and social and emotional intelligence into sustainable management practices. The chapter examines the significance of proactive strategies in tackling the intricacies of economic, environmental, and social systems. Suggestions centre on frameworks for skill development, cultural alignment, and individual, team, and organizational progress to cultivate a dynamic learning environment. By adopting these principles, organizations can effectively navigate uncertainties, cultivate ethical leadership, and achieve sustainable outcomes. 2024 by IGI Global. All rights reserved. -
Developing an Advanced Cybersecurity Framework and Blueprint: A Contemporary Approach to Counter Hacking Through Reverse Engineering Techniques
Recently many of the world's most secure networks have been breached by hackers, resulting in damage, information theft, data corruption, and threats to both national and international security. Protection experts are now doubting the dependability and efficacy of the current protection measures against hacking assaults in light of this dire situation. This research will use a variety of accepted practice models, global standards, information security frameworks, and best practices to achieve this goal of developing a framework and blueprint for a specialized hacking countermeasure. The deliverable outcome is a technical and administrative hacking countermeasure framework and blueprint because the study will concentrate on technological management practices in addition to hacking countermeasure techniques and tools. The framework and the blueprint were validated and authorized, and the effectiveness and reliability of the study deliverable outcome were confirmed using questionnaire and interview surveys, finding that it fully met the established objectives and scope of work. Furthermore, the validation has demonstrated that the introduced solutions for the Defense-in-Breadth and the deception and concealment strategies can further improve the hacker countermeasure and the development of SNORT rules, the construction of a prototype, and the execution of live testing with the ultimate goal of closing the security gap created by hacker countermeasures in the present defense-in-depth-based security models. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Developing a steady state wear equation for AA7050 hybrid composites/steel interface at elevated temperature
In this research work, an attempt was made to reinforce AA7050/5Gr composites with multi-walled carbon nanotube (MWCNT) of varying weight percentages processed through stir casting route. SEM with EDS mapping revealed that the particles were uniformly distributed over the composites. Hardness reduces with increasing MWCNT weight percentage owing to the inverse hall petch effect and increment in void content. A third-body abrasion, which happens when the CNT in the aluminium matrix material detaches from the surface and erodes material from the composites pin as well as the counter face, causes the wear resistance to rise with the addition of CNT particles. A mechanically mixed layer, which avoids direct metal-to-metal contact and thus increases wear resistance, was created at the abraded surface and at high temperature, where the reduction of wear rate was due to the development of oxide protective layer. A steady-state wear equation for the contacting surface at high temperature (R = 1/Y ?(ln W/2X)) for AA7050 hybrid compositessteel interface was developed. The enhancement in wear resistance was directly proportional to the proportion of ferrous content present on the surface, which was confirmed on the elemental analysis. Pock marks, micropits, craters and cracks were the features observed on the worn surface morphology, whereas delamination and plasticisation were the observed modes of wear mechanism. 2023 Informa UK Limited, trading as Taylor & Francis Group. -
Developing a psychometric scale to measure motherhood stress among newly working mothers in Indias IT sector
While becoming a mother is an incredible blessing, it can also be a very stressful time for women. India has a unique cultural and economic diversity, with women facing distinct challenges in their role as new mothers, including family obligations and a tendency toward a patriarchal mindset. This research aims to identify the unique stress factors related to motherhood stress for a new working mother in the IT sector and to create a scale to measure these factors. The study employed a mix of qualitative methods, such as focus group discussions, and quantitative research methods, including a pilot survey among 115 mothers, to develop a new scale for motherhood stress. Four main factors were identified through exploratory factor analysis: career-related stress, adequacy of support systems, maternal guilt, and self-efficacy. A new 31-item scale is proposed. Internal consistency, reliability, and validity were established for all items on the scale, with a KMO value of 0.826 and a Cronbach's alpha of 0.840. This new scale will be a useful tool for organizations to understand motherhood stress among newly working mothers and to adopt practices that reduce stress and address prejudices through interventions such as anti-discrimination policies, managerial sensitization, flexible work options, career counseling, and peer support. For policymakers, this study highlights the need for an industrial policy that recognizes the cultural setting and the unique challenges faced by Indian working mothers, as well as the importance of rigorous enforcement of maternity policies to ensure equitable treatment for them. 2026 AESS Publications. All Rights Reserved. -
Developing a Model of Content Marketing in Creative Economy Marketing Strategies to Influence Consumer Purchase Intentions
The creative economy, which is a cluster of industries encompassing arts and crafts, audio and video, visual arts, architecture, performing arts, fashion, design, and so on, building on human creativity, knowledge, and technology, is to be given more precedence in the Indian economy. This work aims at building a model that can act as a foundation to promote the creative economys performance by keeping marketing function as the key component to success. The model contemplates what factors of content marketing activities have to be prioritized so as to help a creative business unit increase its visibility and impact the attention of consumers. This study classifies the model into two components. Component 1: creative business unit model and Component 2 of the content marketing strategy model. As the model is a working model and is not proven empirically, it can be further used by researchers and marketers for advanced research and development. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Developing a global sustainable electricity use index using the pressure-state-response framework
This study analyse and compare the sustainable electricity usage in 60 countries listed on the official websites of World Energy Consumption Statistics and Climate Bond Initiative. The study also analyses the impact of increased usage of sustainable electricity on the economies' dependence on non-renewable energy sources in the evaluation system. We used a standard index system based on the Pressure-State Response (PSR) model to measure global sustainable electricity usage. Model results convey that Norway is the best performer in sustainable electricity usage, while several European countries display commendable scores, confirming their commitment to sustainable electricity practices. On the other hand, despite being the leading economies in terms of GDP, major economies such as the United States, China, Japan, and India have underperformed compared to others in the evaluation system. The study employs regression techniques to explain the relationship between sustainable electricity usage and non-renewable energy dependence. Results confirm a negative relationship between the variables, indicating the role of sustainable energy practices in reducing fossil fuel consumption. It emphasizes the urgency of a balanced approach to economic growth and natural resource usage to support a green future. 2024 Elsevier Ltd -
Developing a Framework and Wireframe for AI-Driven Personalization and Recommendation Systems in Library Management: A Design Thinking Approach
This research develops a framework and wireframes for an AI-driven personalization and recommendation system designed to enhance Library Management Systems (LMS). AI adapts library services dynamically to individual user characteristics and behaviors, such as reading preferences and interaction patterns, using predictive algorithms and behavioral analysis to deliver tailored recommendations. The study is primarily grounded in a User-Centered Design Thinking approach to ensure the system is intuitive, responsive, and meets diverse user needs. The proposed framework emphasizes seamless data integration and adaptive interface design. Prototypes created using Figma reflect intuitive, inclusive, and accessible features aligned with user needs. The prototype was evaluated in a controlled environment with high-frequency LMS users using the System Usability Scale (SUS) to assess usability and user satisfaction, achieving a score indicating excellent usability. Although the AI processing engine remains conceptual, this research provides a structured foundation for the future implementation of AI-driven recommendation systems in LMS, supporting enhanced user engagement and improved Selective Dissemination of Information through personalized and inclusive library experiences. 2026 P. Arumugam, Jayachristrayar S, Rega R and Jesus Rayar. -
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Developing a democratic constitutional framework through a people driven constitution making process for zimbabwe
Zimbabweans are currently grappling with the question of how to produce a national peopledriven democratic constitution as a permanent solution to the country s myriad problems of poor governance, violent bloody electoral political conflicts, sham elections, governmental illegitimacy, corruption, economic collapse, unemployment, social disintegration, and international isolation. The purpose of the study was to explore a people-driven democratic newlineconstitution-making process that the people of Zimbabwe want. The study was largely newlinebased on phenomenology research philosophy supported by mixed methods of data collection, analysis, and interpretation. The researcher s mental model conceptual newlineframework consisting of operational definitions of terms in chapter 1 was used to guide the exploratory study and to measure data in qualitative analysis. Descriptive statistics of frequencies and percentages were used to measure data in quantitative analysis. The research population comprising the people of Zimbabwe was segmented into two classes of research units: individuals segment; and institutions segment. The institutions segment was further subdivided into six subsidiary segments. Using a non probability purposive sampling method, 1120 individuals and 67 institutions were selected to inform the study. Institutions were interviewed and observed while individuals completed a questionnaire. The phenomenological inductive study discovered major findings of contextual meanings of newlinephenomena associated with a people-driven democratic constitution-making process for newlineZimbabwe such as the people, the constitution, constitution-making, and people-driven. One of the major notable findings revealed by the study is that institutions or organizations are not people, and as such, they cannot make, author or write a constitution. The people think and originate ideas as individuals not as groups, institutions or organizations. Another newlinenotable major finding is that a constitution is made up of ideas not papers. -
Detrimental effects of microplastics in aquatic fauna on marine and freshwater environments A comprehensive review
The world is ever evolving and new technologies are popping up everywhere. New inventions and discoveries have created a better world, but not a sustainable one. The whole earth is drowning in various pollutants and garbage. Plastic pollution has garnered sufficient attention and there are various teams and organizations working toward cleaning our beaches, parks, and environment. However, all these actions will not suffice as plastics have trickled down into microplastics, which are posing a greater threat to our water systems and aquatic fauna. Several ongoing researches focus on marine microplastics, while only 13% of studies are on freshwater. Research on microplastics is now on the rise, with new strategies and restrictions being put into place to curb its accumulation in our marine and freshwater environments. In a recent study, microplastics were found to be present in human blood with. Out of 22 people tested, 17 test subjects had microplastics present in their blood. This review focuses on the adverse effects of microplastics in marine and freshwater ecosystems, with special focus on aquatic fauna. 2023 Jaikumar, et al. -
Deterministic, Stochastic, and Deep Learning Approaches to Understand the Economic Fluctuations in India
In the present work, a new mathematical framework is proposed for studying the interrelation among population growth rate, GDP, inflation rate, and unemployment rate within deterministic and stochastic frameworks. The values of the parameters of the proposed model are estimated using real data from India. The local and global uniqueness of solutions is established for the stochastic model. The deterministic model is solved by using the Adams-Bashforth-Moulton predictor-corrector method, and Milstein's method is used for solving the stochastic model. Numerical simulations correlated quite strongly with observed data, while projections for the 20242030 period indicate that controlled population growth bodes well for the outlook of the economy for India, supporting economic prosperity alongside reduced inflation and better employment conditions. The findings presented in this work are correlational; therefore, to find the possible cause for this phenomenon, further research is required with detailed datasets. Comparing our model's GDP predictions with that obtained using a long short-term memory recurrent neural network model returned very high values of predictive accuracy, thus reinforcing the strength and reliability of our framework. 2025 John Wiley & Sons Ltd. -
Deterministic, Stochastic, and Deep Learning Approaches to Understand the Economic Fluctuations in India
In the present work, a new mathematical framework is proposed for studying the interrelation among population growth rate, GDP, inflation rate, and unemployment rate within deterministic and stochastic frameworks. The values of the parameters of the proposed model are estimated using real data from India. The local and global uniqueness of solutions is established for the stochastic model. The deterministic model is solved by using the Adams-Bashforth-Moulton predictor-corrector method, and Milstein's method is used for solving the stochastic model. Numerical simulations correlated quite strongly with observed data, while projections for the 20242030 period indicate that controlled population growth bodes well for the outlook of the economy for India, supporting economic prosperity alongside reduced inflation and better employment conditions. The findings presented in this work are correlational; therefore, to find the possible cause for this phenomenon, further research is required with detailed datasets. Comparing our model's GDP predictions with that obtained using a long short-term memory recurrent neural network model returned very high values of predictive accuracy, thus reinforcing the strength and reliability of our framework. 2025 John Wiley & Sons Ltd. -
Determining the most important indicators affecting the failure risk of conventional and sharia rural banks
This study identifies key variables influencing the risk of failure in Indonesia's Conventional and Sharia Rural Banks (BPR and BPRS) and proposes strategies to mitigate these risks. Using the Analytical Network Process (ANP) method, the study engaged 11 respondents, including banking practitioners from Conventional and Islamic Commercial Banks, Rural Banks, Islamic Rural Banks, and academics. Data were analyzed with Super Decision software and Excel. Results reveal four critical variables: 1) macroeconomic, 2) microprudential, 3) macroprudential, and 4) bank internal variables. The welfare aspect of macroeconomic variables emerged as the most significant, followed by the liquidity indicator in microprudential variables and the internal resilience indicator in macroprudential variables. These findings guide strategies to enhance banking performance and reduce failure risks. Regulators and the government should prioritize macroeconomic welfare indicators to strengthen the banking system and address factors contributing to BPR and BPRS failures. 2025, IGI Global Scientific Publishing. All rights reserved. -
Determining the Impact of Adapted Yoga Training on Physical Functioning in Students with Mild Intellectual Disability
Background. Individuals with mild intellectual disability (ID) often encounter challenges in physical functioning, impacting their overall well-being and quality of life. Traditional exercise programs may not always be accessible or effective for this population due to various barriers. Adapted yoga programs have emerged as a promising alternative, offering tailored interventions to address the unique needs of individuals with ID. Objectives. The study aimed to close this gap by examining the effect of a structured, modified yoga programme on factors related to physical functioning. Materials and methods. A total of 40 students with mild ID, aged between 11 and 15 years, were selected from Special Schools in Coimbatore, Tamil Nadu. A quasi-experimental design was used in this study. The participants were divided into an experimental group undergoing an 8-week adapted yoga program and a control group maintaining regular activities. Physical function parameters were assessed using standardized tests measuring cardiorespiratory endurance, muscular strength and endurance, flexibility, body composition, and balance. The adapted yoga program, conducted by qualified instructors, comprised 8 weeks of sessions, 5 days a week, each lasting 45 to 60 minutes. Statistical analyses confirmed the normal distribution of data and employed paired sample t-tests to assess pre-and post-test differences, with SPSS version 20.0 used for analysis, setting the significance level at 0.05. Results. After undergoing 8 weeks of adapted yoga training, the results showed a significant improvement in the upper body strength (p < 0.04), lower body strength (p < 0.001), core strength (p < 0.002), flexibility (p < 0.00), and static balance (p < 0.00). However, there was no significant difference in body fat and cardiorespiratory endurance between adapted yoga training. Conclusions. This study highlights the potential of adapted yoga programs as an intervention for improving physical functioning in students with mild ID. These findings indicate that the imlementation of adapted yoga can be a valuable and accessible intervention for enhancing physical functioning in this population. Yuvaraj, D., Dibakar, D., Prem, K. G., Aravindh, M., Ramesh, A. J., & Alphi, G. S., 2024. -
Determining the Antecedents and Consequences of Brand Experience: A Study to develop a Conceptual Framework
In the marketing literature, one of the most talked- about subjects is brand experience (BE). Through an examination of the numerous studies conducted by BE researchers, this report attempted to determine the significance of BE in the body of recent literature. This paper culminates in the creation of a conceptual framework that prospective investigators might utilize to discern the diverse pathways inside BE. 2024 IEEE. -
Determination of the size of the dust torus in H0507+164 through optical and infrared monitoring
The time delay between flux variations in different wavelength bands can be used to probe the inner regions of active galactic nuclei (AGNs). Here, we present the first measurements of the time delay between optical and near-infrared (NIR) flux variations in H0507+164, a nearby Seyfert 1.5 galaxy at z = 0.018. The observations in the optical V-band and NIR J, H, and Ks bands carried over 35 epochs during the period 2016 October to 2017 April were used to estimate the inner radius of the dusty torus. From a careful reduction and analysis of the data using cross-correlation techniques, we found delayed responses of the J, H, and Ks light curves to the V-band light curve. In the rest frame of the source, the lags between optical and NIR bands are found to be 27.1-12.0 +13.5 d (V versus J), 30.4-12.0 +13.9 d (V versus H) and 34.6-9.6 +12.1 d (V versus Ks). The lags between the optical and different NIR bands are thus consistent with each other. The measured lags indicate that the inner edge of dust torus is located at a distance of 0.029 pc from the central ultraviolet/optical AGN continuum. This is larger than the radius of the broad line region of this object determined from spectroscopic monitoring observations thereby supporting the unification model of AGN. The location of H0507+164 in the ?-MV plane indicates that our results are in excellent agreement with the now known lag-luminosity scaling relationship for dust in AGN. 2018 The Author(s).