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Narendra Reddy Burramukku
Affiliation	Network/Cloud Engineer, AT&T Labs (Cisco Systems) Middletown, NJ
Email-Id:	narendrareddyburramukku01@gmail.com
Publication: Patents:  Mobility Behaviour Sensor Device 6523095 (UK Approved). AI Data Analysis and Intellegent computing Device 6500777 (UK Approved). Books: Intelligent Infrastructure Engineering Machine Learning and Graph-Based Architectures for Enterprise Systems. Publications: Recognized as an innovator in intelligent network automation and cloud systems, including contributions in judging and expert evaluation activities 2026. Featured in SciArtis 2025, an international exhibition highlighting high-impact scientific and artistic innovations 2025. Featured for the expert guide “Machine Learning and Digital Twin Technologies for Intelligent Network Operations” reflecting growing national recognition and professional impact 2024. Recognized as a Senior Researcher for contributions to advancements in cloud computing and intelligent network systems 2023. Featured for contributions toward advancing the future of cloud-integrated network engineering and emerging technology innovation 2022

Published by: vikaspatanker

Authors: Sukhveer Kaur, Dr. Vinod Kumar

Abstract: Agriculture remains the backbone of the Indian economy, supporting millions of livelihoods and ensuring food security for a population exceeding 1.4 billion. Within the agricultural sector, small and marginal farmers constitute the largest category of cultivators. Despite possessing limited land resources, these farmers make a substantial contribution to agricultural production, rural employment, and national economic development. This study examines the economic contribution of small and marginal farmers in India through an analysis of secondary data obtained from government reports, agricultural census publications, and scholarly literature. The findings reveal that small and marginal farmers account for approximately 86 percent of total operational holdings while cultivating nearly 47 percent of the agricultural land. Their contribution extends beyond crop production to employment generation, poverty reduction, food security, and rural economic sustainability. However, challenges such as fragmented landholdings, inadequate access to credit, technological constraints, and market inefficiencies continue to hinder their productivity and income growth. The study concludes that strengthening institutional support, digital agriculture, farmer-producer organizations, and sustainable farming practices can significantly enhance the economic contribution of small and marginal farmers in India.

Published by: vikaspatanker

Authors: Daljeet Singh, Manisha Karla

Abstract: In today's dynamic business environment, organizations face increasing pressure to achieve sustainable growth while maintaining employee satisfaction and productivity. Leadership plays a critical role in shaping employee attitudes, engagement levels, and organizational sustainability. This study examines the relationship between leadership practices, employee engagement, and organizational sustainability among employees working in various business organizations. Primary data were collected from 150 employees through a structured questionnaire. Descriptive statistics, correlation analysis, and regression analysis were employed to examine the relationships among the variables. The findings reveal that effective leadership positively influences employee engagement, which subsequently contributes to organizational sustainability. The study highlights the importance of transformational and participative leadership approaches in fostering a sustainable organizational culture. The results provide valuable insights for managers and policymakers seeking to enhance long-term organizational performance through effective leadership practices.

Published by: vikaspatanker

Authors: Mohammad Shah Alam Chowdhury, Mili Rahman, Mohd Rafi, Md. Sakibur Rahman Malik

Abstract: This study rigorously analyzes the literary perspective of Navtej Sarna by evaluating his historical fiction, literary essays, translations, and cultural narratives. Sarna holds a unique position in modern Indian English literature because to his capacity to interweave diplomacy, memory, nationalism, and personal identity within broader historical contexts. His essays explore significant events in Indian and Sikh history while also examining colonial memory, exile, identity, and contemporary Indian consciousness. Sarna reconstructs the interplay between history and identity in postcolonial India in works such as The Exile, Crimson Spring, The Book of Nanak, Winter Evenings, and A Flag to Live and Die For. This study posits that Sarna’s creative imagination serves as both a cultural repository and a critical analysis of the changing national identity of modern India. The research employs qualitative textual analysis alongside postcolonial and historical literary frameworks to assess Sarna’s narrative techniques, depiction of memory, and ideological interaction with nationhood. The research additionally examines how Sarna rehumanizes historical tragedy via fiction and how his diplomatic history shapes his global creative viewpoint. The study establishes Sarna as a prominent literary figure whose works substantially influence contemporary discourse on history, nationalism, memory, and Indian modernity.

DOI: http://doi.org/10.5281/zenodo.21258389

Published by: vikaspatanker

Authors: Mohammad Shah Alam Chowdhury, Mili Rahman, Mohd Rafi, Md. Sakibur Rahman Malik

Abstract: Modern Hindi literature has seen the rise of female authors who have revolutionized the portrayal of gender, domesticity, identity, and social resistance. Mamta Kalia holds a unique position among these writers because to her genuine depiction of middle-class Indian women and their emotional, social, and economic challenges. Her literary works critique patriarchal structures without employing explicit ideological terminology, therefore establishing a pragmatic feminist discourse grounded in quotidian experiences. This study rigorously analyzes Mamta Kalia's contributions to contemporary Hindi literature, focusing on her portrayal of women's identity, home strife, marital dynamics, urban middle-class fears, and female agency. This study examines how Kalia transformed the female voice in post-independence Hindi literature through textual analysis of selected novels, short tales, and poetry. The dissertation assesses the socio-cultural importance of her writings within the larger context of Indian feminism and modern literary discourse. The study employs qualitative and interpretive approaches grounded in feminist literary theory. It contends that Mamta Kalia’s works represent the evolution of Indian women from quiet to expression and from societal conformity to self-awareness. Her literary perspective embodies the reality of contemporary Indian women while also challenging conventional gender norms. The study asserts that Mamta Kalia is a preeminent literary figure in articulating the aspirations, disappointments, and perseverance of contemporary Indian women.

DOI: http://doi.org/10.5281/zenodo.21258451

Published by: vikaspatanker

Authors: Mohammad Shah Alam Chowdhury, Mili Rahman, Mohd. Rafi, Md. Sakibur Rahman Malik

Abstract: Recent decades have witnessed a significant transition in contemporary Kannada literature, driven by the advent of socially concerned writers who have broadened regional literary discourse to engage in worldwide intellectual dialogues. Banu Mushtaq holds a prominent position among these literary voices due to her feminist perspectives, secular outlook, and portrayal of neglected Muslim communities in Karnataka. This dissertation critically analyzes Banu Mushtaq’s literary contributions and explores how her works have enhanced the global reputation of contemporary Kannada literature. The study examines the thematic depth of her short stories, socio-political narratives, feminist interactions, and linguistic creativity through the lens of postcolonial and subaltern literary theories. It also examines how translation, digital literary dissemination, and multicultural reading have facilitated the transcendence of Kannada literature beyond regional confines. This research employs qualitative textual analysis and secondary scholarly sources to assert that Mushtaq's writings serve as both localized narratives and universal human texts that explore themes of identity, gender, religion, class, and resistance. The paper additionally examines the influence of contemporary Kannada authors in shaping India's multilingual literary modernism. This research situates Banu Mushtaq within the wider South Asian literary traditions, illustrating how regional writing can achieve global significance through local authenticity and socio-cultural involvement. This study enhances modern literary criticism by emphasizing the increasing global importance of Kannada literature and the pivotal role of women writers within this domain.

DOI: http://doi.org/10.5281/zenodo.21258317

Published by: vikaspatanker

Authors: Prince, Dr. Sahil Nazir

Abstract: Work-life balance (WLB) has become a crucial aspect of human resource management in contemporary organizations. Employees often face challenges in balancing professional responsibilities and personal commitments due to increasing workload, technological advancements, and changing workplace dynamics. Organizations that promote work-life balance tend to experience higher employee satisfaction, improved productivity, reduced turnover, and enhanced organizational commitment. The present study aims to examine the relationship between work-life balance and employee satisfaction among employees working in Tata Steel. The study is based on primary data collected from 150 employees through a structured questionnaire. Descriptive and analytical research methods were employed to analyze the data using percentage analysis, mean score analysis, correlation analysis, and chi-square testing. The findings reveal that flexible working arrangements, supervisor support, workload management, and family-friendly policies significantly influence employee satisfaction. Correlation analysis indicates a strong positive relationship between work-life balance and employee satisfaction. The study concludes that maintaining an effective work-life balance is essential for improving employee satisfaction and organizational performance. Organizations should continue to strengthen work-life balance initiatives to enhance employee well-being and long-term organizational success.

Published by: vikaspatanker

Authors: A. Deepthi, S.Dakhita Sri, B. Vamsi, P.Prabhakar Reddy

Abstract: The continuous demand for lightweight, fuel-efficient, and environmentally sustainable automobiles has encouraged researchers and manufacturers to replace conventional metallic components with advanced composite materials. Automotive suspension springs, which are essential components responsible for supporting vehicle loads, absorbing road shocks, and maintaining ride comfort, have attracted significant attention for weight reduction. Conventional steel springs offer excellent strength and durability; however, their high density contributes substantially to the unsprung mass of vehicles, negatively influencing fuel economy, acceleration, and dynamic response. Hybrid automotive composite springs, fabricated using combinations of carbon, glass, aramid, and natural fibers reinforced with polymer matrices, provide an effective solution due to their superior specific strength, high fatigue resistance, excellent corrosion resistance, and improved vibration damping characteristics. The development of finite element analysis (FEA) techniques has further facilitated accurate prediction of the structural behavior of hybrid composite springs under static, dynamic, impact, and cyclic loading conditions. This review presents a detailed discussion on the evolution of hybrid composite springs, material selection, design methodologies, finite element modeling techniques, failure mechanisms, manufacturing methods, optimization approaches, and future research directions. The study highlights the potential of hybrid composite spring systems to replace conventional steel springs in next-generation automotive suspension systems.

DOI: http://doi.org/10.5281/zenodo.20672857

Published by: vikaspatanker

Authors: S,Shiva Kumar, P.V.R.Ravindra Reddy

Abstract: The drive shaft is a critical mechanical component responsible for transmitting torque from the transmission system to the wheels or other rotating components in automobiles, aerospace systems, and industrial machinery. Conventional steel drive shafts possess high strength but contribute significantly to the overall system weight, resulting in increased fuel consumption and reduced efficiency. In recent decades, fiber-reinforced polymer (FRP) composite materials such as carbon fiber reinforced polymers (CFRP), glass fiber reinforced polymers (GFRP), and hybrid composites have emerged as promising alternatives due to their superior specific strength, high stiffness-to-weight ratio, corrosion resistance, and improved damping characteristics. The advancement of finite element analysis (FEA) tools has enabled researchers to accurately predict the structural behavior of composite drive shafts under torsional, bending, buckling, vibration, and fatigue loading conditions. This review presents a comprehensive study of the design methodologies, material selection criteria, finite element modeling approaches, failure theories, optimization techniques, and recent developments in composite drive shaft technology. A critical comparison of different composite materials and FEA approaches is discussed, highlighting their advantages, limitations, and future research opportunities.

DOI: http://doi.org/10.5281/zenodo.20672813

Published by: vikaspatanker

Authors: Parul Tyagi, Dr. Brij Mohan Singh

Abstract: Kidney disease is a growing global health challenge requiring early, accurate, and automated diagnostic solutions. This paper introduces KidneyNet, a deep learning framework designed for automated kidney disease detection and classification from Computed Tomography (CT) scan images. KidneyNet leverages the power of transfer learning through ResNet50, enhanced with custom classification layers and advanced data augmentation strategies, to classify kidney CT images into four categories: cyst, normal, stone, and tumor. The proposed system is compared against two baseline architectures — Artificial Neural Network (ANN) and Convolutional Neural Network (CNN) — using a publicly available dataset of 12,446 kidney CT images. Experimental results demonstrate that KidneyNet (ResNet50) achieves superior performance with an accuracy of 92%, precision of 91.44%, recall of 92%, and an F1-score of 91.72%, outperforming both ANN (86% accuracy) and CNN (89% accuracy). These findings confirm the effectiveness of deep residual transfer learning as a reliable computer-aided diagnostic tool for kidney disease classification.

DOI: https://doi.org/10.5281/zenodo.20671785

Published by: vikaspatanker