Volume 3 | Issue 4

 Abstract

Indian diaspora literature is rich with narratives of identity, nostalgia, adaptation, and cultural survival. Among the most prominent symbols of diasporic memory and resistance are food, festivals, and traditional cultural practices. These elements serve as powerful conduits for sustaining ethnic identity and transmitting heritage across generations. This paper explores how Indian diaspora authors use these cultural markers to portray the complexities of belonging and alienation in host cultures. Through close readings of selected works by writers such as Jhumpa Lahiri, Chitra Banerjee Divakaruni, Salman Rushdie, and Monica Ali, this paper demonstrates how food becomes a metaphor for memory and assimilation, festivals symbolize resistance and unity, and traditional rituals reflect tensions between preservation and adaptation. Drawing on diaspora theory and postcolonial frameworks, the paper argues that these cultural expressions not only resist erasure but also help construct hybrid identities in multicultural societies. Ultimately, Indian diaspora literature reclaims cultural memory through the intimate and public enactment of rituals that bind the past to the present.

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The Role of Food, Festivals, and Cultural Practices in Indian Diaspora Literature

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Swami Vivekananda is one of the greatest nationalist and spiritual leaders of our country. His nationalism is based on spiritualism. He witnessed the exploitations based on cruelty by the British and tried to encourage his brothers and sisters of India to enlighten themselves with the divinity and power already in them. The very edifice of Indian nationalism is constructed on the ideal of universal brotherhood. He urged upon them to be spiritually strong enough and cherish the divinity of love and universal brotherhood.

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Gurudeva, Nationalism, Spiritualism, Political, Freedom, Motherland

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How can we efficiently perform inference and learning in directed probabilistic models when dealing with continuous latent variables and intractable posterior distributions, especially with large datasets? We propose a stochastic variational inference and learning algorithm that can handle large datasets and, under certain mild differentiability conditions, can even address intractable cases. Our contributions are twofold. First, we demonstrate that by reparameterizing the variational lower bound, we obtain a lower bound estimator that can be easily optimized using standard stochastic gradient methods. Second, we show that for independent and identically distributed (i.i.d.) datasets with continuous latent variables for each data point, posterior inference becomes particularly efficient by fitting an approximate inference model (or recognition model) to the intractable posterior using the proposed lower bound estimator. The theoretical benefits are supported by experimental results.

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Variational Bayesian Methods for Learning Autoencoders

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This paper introduces a hybrid system controller that integrates a fuzzy logic controller with the vector-control method for induction motors. Instead of a conventional Proportional-Integral (PI) controller, the vector-control approach has been enhanced using a fuzzy logic controller. This hybrid controller leverages the advantages of both techniques--fuzzy logic ensures high-quality regulation, while vector control provides system stability during transient conditions and supports a broad operating range. The effectiveness of the hybrid controller has been evaluated through simulations. A comparative analysis between the proposed fuzzy logic controller and the traditional PI controller under both no-load and varying load conditions highlights its superior robustness and efficiency in achieving high-performance induction motor drive systems.

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Indirect Vector Control, Fuzzy Logic Control, Adaptive Speed Control, Hybrid Motor Drive, Robust Control Techniques.

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Interactions with technology have been shaping human society since its beginning. Recently, digitalization has pervaded all aspects of our lives and provided us with new ways to communicate with our social contacts and develop new social ties. We address how these changes shape the social lives of children between the age group 15-20 years today. Several factors may give rise to concerns that adolescent students today are at risk for social isolation, including demographic trends toward families, or reduction of regular activities due to lack of concentration. In today's scenario what are the effects of digitization on adolescent students, is reviewed here. At the same time, these students today have access to new technologies that may enable them to consume of huge information for their knowledge and overcome all barriers. First, based on models of technology adoption, we review research on digital technology used by adolescents. They use technology at very high rates than any other age groups; rates of (social) internet use are increasing. However, socio-demographic disparities exist in access to technology. Second, we focus on two key questions and methodological directions for future research: (a) Does (social) internet use contribute to more positive or negative social experiences? (b) Do digital technologies reshape the social experience or do they reinforce existing preferences and behaviors? Addressing these questions will allow us to understand the effects of technology on adolescent's daily lives and how this in turn affects multiple domains of functioning (e.g., well-being, physical health) in future generations.

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Adolescent, socio-demographic, digital technology.

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The recruitment and selection landscape, therefore, has been the most transformed in recent decades due to changes in advancements in technology, globalization, and changing workforce expectations. This review paper gives a holistic summary of the developments of the recruitment and selection practice overtime, focusing on key trends and challenges identified up to 2015. From its traditional methods like newspaper adverts, in-person applications, and manual screening of applicants, recruitment practices have, over time, transitioned into more technological ways of Applicant Tracking Systems (ATS), online job portals, and social media, LinkedIn, among others. These innovations have been efficient and have opened wider talent pools, but it has also brought about a host of complexities, like data privacy concerns and algorithmic biases. The paper also points out the increased focus on employer branding, diversity, and inclusion, which is a shift towards a more candidate-centric hiring environment. Behavioural assessments and psychometric tests have become prominent, providing a more in-depth understanding of candidate potential beyond academic qualifications and work experience. The rise of the gig economy has also transformed recruitment, accommodating short-term and freelance roles. However, challenges still exist, such as fairness in automated systems, candidate experience management, and the ethical implications of data-driven hiring. This paper takes a closer look at how these practices have evolved, shedding light on the forces shaping the recruitment landscape and the need to balance innovation with ethics. The research hopes to inform future study and assist practitioners in negotiating future developments in the field.

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Recruitment practices, selection methods, Applicant Tracking Systems, employer branding, diversity and inclusion, gig economy, psychometric assessments, data privacy, algorithmic bias, workforce trends.

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Mahavira or Mahaviracharya was a 9th century (about 800-870 CE) Jain mathematician, who made significant contributions to the development of Algebra, born in the present-day city of Gulbarga, Karnataka, in southern India. He perhaps took his name to honour the great Jainism reformer Mahavira. He was the author of the earliest Indian text Ganitsarasangraha (dated 850 CE) devoted entirely to mathematics. He was patronised by the king Amoghavarsha of the Rashtrakuta Dynasty. Mahavira stresses the importance of mathematics in both secular and religious life and in all kinds of disciplines including love and cooking. He was the first one to separate Astrology from Mathematics. He is highly respected among Indian Mathematicians because of his establishment of terminology for concepts such as equilateral triangle, isosceles triangle.

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Significant, Dynasty, Stress, Secular, Terminology

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Darsapurnamaasayoho Somayagena Saha Pourvaparyam

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Darsapurnamaasayoho Somayagena Saha Pourvaparyam

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The impact of media on children today is a multifaceted issue with both positive and negative implications. This abstract examines how various forms of media influence children's development, behavior, and attitudes. Positive effects include educational benefits from well-designed content, fostering cognitive growth and cultural understanding. However, negative impacts encompass exposure to inappropriate or violent content, potential for cyberbullying, and skewed perceptions of body image. The role of parents in guiding media usage and promoting media literacy is crucial. To mitigate negative effects and enhance positive outcomes, a balanced and informed approach to media consumption is essential for children's well-rounded development.

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Media, Impact, Children, Today, Technology, Digital devices, Television, Internet, Social media, Video games, Screen time, Content, Influence, Behavior, Development, Cognitive Emotional, Psychological, Socialization, Advertising, Education.

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RABINDRA PARABORTI BANGLA UPONYASE SAMAJ O RAJNITIR PORICHOY

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RABINDRA PARABORTI BANGLA UPONYASE SAMAJ O RAJNITIR PORICHOY

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In the global software outsourcing industry, India remains a leading player, offering cost-effective solutions through a highly skilled workforce. However, high employee turnover among vendors poses significant challenges, risking project delays, increased costs, and compromised quality. This study focuses on understanding the employee turnover risks specific to the Indian software outsourcing sector, with a particular emphasis on vendors operating in Kerala's Infopark. Through a comprehensive literature review and in-depth semi-structured interviews with 40 senior executives, the research identifies key factors driving high turnover, including a competitive job market, poor work-life balance, lack of career growth opportunities, cultural and managerial issues, economic fluctuations, and the lure of better opportunities abroad. The study discusses the profound impacts of turnover on project timelines, recruitment and training costs, quality and productivity, client trust, and internal morale. It also proposes actionable strategies to mitigate these risks, such as enhancing employee engagement, offering competitive compensation, promoting work-life balance, investing in training and development, strengthening leadership practices, fostering a positive organizational culture, and leveraging technology for early risk identification. By implementing these strategies, vendors can improve employee retention, maintain stability, and sustain their competitive edge in the dynamic global market

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risk, vendor, employee turnover, attrition, outsourcing

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Automated fingerprint recognition has emerged as a widely utilized tool for personal identification and various biometric applications, owing to its dependable and distinctive characteristics. Fingerprint classification stands out as a crucial task in the context of large-scale fingerprint recognition systems. This task is inherently challenging due to factors such as limited interclass variability, substantial intraclass variability, the presence of noise, and the inherently ambiguous nature of fingerprints. Effectively addressing the complexities of fingerprint image classification requires sophisticated pattern recognition solutions. A precise classification algorithm holds the potential to significantly reduce the number of comparisons required during fingerprint retrieval, thereby expediting the identification process. Over the last few decades, a substantial body of research has been dedicated to devising techniques for distinguishing different fingerprint classes. This paper presents a comprehensive review of existing approaches employed in addressing fingerprint classification challenges. The discussion encompasses key issues, design considerations, and the performance evaluation of various techniques within the realm of fingerprint classification systems.

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Pattern Recognition, Classification Fingerprint Retrieval, Identification, Classification system.

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This research paper explores the role of government policies in fostering entrepreneurship and innovation in India, focusing on initiatives up to the year 2014. It examines historical trends, evaluates policy interventions, and assesses their impact on entrepreneurial outcomes. Through rigorous analysis of data and literature, the paper highlights the economic, social, and technological contributions of entrepreneurship to India's development. Despite government support, challenges such as limited access to finance, regulatory complexities, and infrastructure deficits persist. Drawing insights from best practices and international experiences, the paper offers recommendations to enhance the effectiveness of government policies and create a conducive environment for entrepreneurship. By addressing these challenges and capitalizing on emerging opportunities, India can unlock its entrepreneurial potential and drive sustainable economic growth.

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Government policies, Entrepreneurship, Innovation, India, Policy interventions, Economic growth.

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They have no respect for their teachers. They are not earnest about their academic pursuits. They have no sense of discipline. These, and some more in the same strain are comments not about the students of present-day colleges and universities by some grumbling old professor. They are the comments of Plato about the students of his times. If this was what could be said of students of no less a teacher then Plato of his student's more than two millennia ago, do we have reason to complain about the state of education in our times?

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A Study on Timeless Glory of The Teacher as Depicted in Taittiriyopanishat

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Abstract: The paper enumerates 39 medicinal plant species belonging to 39 genera and 28 families, which are used as folk medicine in the treatment of various ailments or diseases by the rural and common people of Sheohar district.

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Keywords: Folk medicine, Medicinal plants, Vaidhya, Sheohar.

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The emission of Volatile Organic Compounds (VOCs) from chemical process industries poses significant environmental and health concerns. This paper provides an overview of various techniques utilized for the removal of VOCs from air emissions in these industries. The methods discussed include adsorption, absorption, catalytic oxidation, thermal oxidation, biological treatment, and membrane separation. Factors influencing the selection of suitable removal techniques, such as VOC concentration, flow rates, cost-effectiveness, and regulatory compliance, are highlighted. The importance of employing efficient VOC removal methods for reducing environmental pollution, complying with regulations, and ensuring improved air quality for communities near industrial sites is emphasized. Overall, this paper serves as a comprehensive guide for understanding the basic of VOC removal techniques in chemical process industries to address emissions and environmental challenges effectively.

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VOCs, VOC removal techniques

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This research delves into the complexities of the caste system within the evolving urban landscapes of India. Utilizing Census data, scholarly articles, and reports, the study examines the interplay of migration patterns, occupational disparities, social hierarchies, educational dynamics, and challenges in fostering caste integration within urban settings. The findings underscore the entrenched socio-economic disparities among different caste groups, highlighting unequal access to resources and opportunities. However, amidst these challenges lie opportunities for inclusive growth through affirmative action policies and community-driven initiatives. The paper concludes by emphasizing the need for collaborative efforts among policymakers, urban planners, and civil society to create more inclusive urban spaces and transcend caste-based inequities.

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Caste system, Urban landscapes, Migration patterns, Occupational disparities, social hierarchies, educational dynamics, Caste integration, Socio-economic disparities, Affirmative action, Inclusive urban spaces.

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This research paper delves into the intricate dynamics of caste systems and social stratification within modern India. Exploring historical roots and contemporary manifestations, it examines the challenges and transformations embedded within caste structures. The paper navigates through theoretical frameworks, societal implications, economic disparities, political mobilization, and the persistent issue of caste-based discrimination. Employing a blend of quantitative data and qualitative insights, it elucidates the complexities and evolutions shaping caste identities and hierarchies in India today. Additionally, it highlights the role of social movements and endeavours to address caste challenges while envisioning prospects for a more equitable society.

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Caste Dynamics, Social Stratification, Caste-Based Discrimination, Political Mobilization, Economic Disparities, Social Movements

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Employability skills are a broad term for non-technical abilities and talents that have traditionally played a key role in productive and successful involvement of employees in their workplace. Employers are looking beyond traditional measurement of academic performance and they seek candidates with these employability skills while selecting employees. Therefore the graduates who are preparing to enter the job market should be well equipped with these essential skills. Generally, the employability skills comprises communication skill, team work skill, problem solving skill, initiative, planning and organizing skill, self management and technological skills.

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Evaluating Initiative and Enterprise as Vital Employability Skill: An In-Depth Analysis of Final-Year Undergraduate Students in Kasargod District

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The progress of a country depends upon the quality of its teachers. They are called nation builders. A good principal, magnificent building, sound infrastructure and good curriculum are useless, if the teachers in any institution are not with positive attitude towards teaching. Teaching is a very respectable profession but even then not all the teachers who are in this pious profession like it. Many prospective teachers join this profession not by choice but by chance or due to other reasons. They are disinterested towards teaching profession. They just take admission in B. Ed course as second choice, if they fail to seek admission in first choice like M.B.A., or any other courses according to their liking and they are generally dissatisfied throughout the training period. This study was conducted to study the attitudes of prospective-teachers towards teaching profession. A sample of 100 prospective teachers, 50 from private and 50 from Government B.Ed. colleges of Muktsar (Punjab) was taken through purposive convenient sampling method. "Teacher Attitude Inventory (TAI)" by Dr. S.P. Ahluwalia was used to collect the data. Mean, SD and t-test were used for the analysis of the data. Research findings revealed that there is no significant difference in the attitudes of prospective teachers studying in private and Government B.Ed. colleges. There is no significant difference in the attitudes of female and male prospective teachers towards teaching profession.

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Attitude, Prospective Teachers, Teaching Profession, Private and Government B.Ed.colleges

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