Volume 11 | Issue 2 | February-2023

 Abstract

This paper explores the intersection of marginalization, educational quality, and social mobility, with a special focus on Arunachal Pradesh, a frontier state in Northeast India characterized by ethnic diversity, linguistic plurality, and geographical remoteness. Despite significant progress in enrollment, the quality of education remains alarmingly low, leading to persistent learning poverty, high dropout rates, and limited intergenerational mobility. Through the lenses of sociological theory--including Bourdieu's cultural capital, Durkheim's functionalism, Marxist perspectives on reproduction, Weber's credentialism, and Sen's capability approach--the study critically examines how structural inequalities are embedded in the education system. Employing a mixed-method research design, it integrates national datasets (UDISE+ 2021-22, ASER 2022, Census 2011, NFHS-5) with secondary literature and field-level insights. Findings show that infrastructural deficits, teacher shortages, language mismatches, and cultural alienation reinforce deprivation. Comparisons with national averages highlight that Arunachal Pradesh lags behind India in secondary completion, female literacy, and access to quality learning environments. The paper contributes to the wider sociological debate on the reproduction of inequality by presenting a region-specific case study of a frontier state where education simultaneously promises and denies mobility. The study concludes that quality education is a decisive lever for breaking cycles of marginalization, but policies must address socio-cultural realities, linguistic diversity, and geographic constraints with a holistic and equity-driven approach.

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 Keywords

MARGINALIZATION THROUGH LACK OF QUALITY EDUCATION: DEPRIVATION'S GRIP ON SOCIAL MOBILITY WITH SPECIAL FOCUS ON ARUNACHAL PRADESH

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In this paper, the realization of last-mile delivery systems using cloud-enabled multi-objective optimization is discussed. It concentrates more on the cost-effectiveness, environmental sustainability and customer satisfaction through serverless analytics and cloud computing technology. The paper looks at how real time information processing, developing better optimization models and codifying more scalable solutions can better deliver operations. With the use of cloud platforms, businesses have the opportunities to reduce emissions, enhance the quality of service, optimize routes of services, thus contributing to the sustainable and efficient logistics. This study gives a guideline on which further progress can be made in the optimization of last-mile delivery.

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 Keywords

Last-Mile Delivery, Cloud Computing, Multi-Objective Optimization, Serverless Analytics, Cost Optimization, Environmental Sustainability, Customer Satisfaction, Real-Time Data

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Abstract Indian society has long been a crucible of change where art and activism intersect. Literature--the written word--has served as a repository of ideas, critical reflections, and reformist ideologies. Parallel to this, Indian cinema--the silver screen--has not only mirrored these narratives but also amplified them by reaching millions. This research paper investigates the historical and contemporary roles of literature and cinema in instigating social reform in India. By reviewing influential literary works and landmark films, the paper explores how these dual forces have challenged caste hierarchies, gender stereotypes, and political oppression while inspiring public debate and policy change.

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 Keywords

Social Reform, Indian Literature, Indian Cinema, Cultural Change, Adaptation, Nationalism, Feminism, Dalit Narratives

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Mulberry leaves are crucial for sericulture, but diseases can significantly reduce yield and quality. Traditional methods for disease detection are labor-intensive and time-consuming. Current approaches lack efficiency in detecting mulberry leaf diseases, hindering timely intervention to prevent crop loss. This study proposes a novel approach using deep learning attention with deep neural networks for mulberry leaf disease detection. The model leverages attention mechanisms to focus on relevant features, enhancing the accuracy of disease identification. The proposed method achieved impressive results in mulberry leaf disease detection, with an average accuracy of 95%. Specific disease detection rates include: Mulberry leaf spot (97%), Powdery mildew (94%), Anthracnose (96%), and Leaf blight (93%).

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 Keywords

Attention Mechanisms, Deep Neural Networks, Deep Learning, Mulberry Leaf, Diseases

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Mineral admixtures play a crucial role in enhancing concrete performance and promoting sustainability. This review provides a comprehensive overview of the properties, performance, and applications of key mineral admixtures, including fly ash, rice husk ash, ground granulated blast-furnace slag, silica fume, and metakaolin. The study examines how these materials improve concrete's strength, durability, and workability, while also addressing environmental impacts. The pozzolanic reactions and microstructural benefits associated with these admixtures are discussed, alongside their diverse applications in high-strength, durable, self-compacting, and sustainable concrete. The review emphasizes the need for ongoing research to optimize admixture use, focusing on advanced characterization, novel combinations, and the integration of fibers and AI-driven optimization. Future research should prioritize sustainable practices, including circular economy principles and carbon sequestration, to ensure the long-term viability of mineral admixture concrete in creating resilient and environmentally responsible infrastructure.

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Mineral admixtures, concrete, fly ash, silica fume, GGBS, metakaolin, durability, strength, sustainability, pozzolanic reaction.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper explores AI in health, wellness, socialization, and spirituality. AI has revolutionized medical diagnosis and treatment, streamlined healthcare management, and personalized wellness plans. In socialization, it enables communication and community building in processes very similar to existing ones, while in spirituality, all these (non-AI) abilities, coupled with speed, storage, and efficiency, introduce new ways of doing things. The paper also looks at the ethical problems this would create, like privacy, bias, and the effect on interactions between people. We look at these domains to see how AI can change individual and collective experiences and how to maintain an equilibrium between technological development and traditional values.

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Artificial Intelligence, Health, Wellness, Socialization, Spirituality, Ethics, Technology

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This paper explores the intricate relationship between humanity, nature, and societal expectations in rural China, focusing on how these elements interact to shape the lives of individuals and communities. By examining historical contexts, cultural beliefs, and contemporary challenges, this study highlights the profound impact of agriculture, tradition, and social structures on human identity and community dynamics. Utilizing literature, historical accounts, and sociological perspectives, This paper aims comprehensive understanding of how the interconnections of family, nature, and societal expectations influence rural life in China as depicted in the novel, The Good Earth

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 Keywords

Cultural Identity, Tradition, Nature, Social Hierarchy, Rural Life, Family.

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Counterparty credit risk (CCR) represents the possibility that a counterparty to a financial contract will default before fulfilling its contractual obligations. With the increasing complexity of financial markets, more than the traditional methods for assessing CCR are required to capture non-linear dependencies and complex risk dynamics. In this study, we explore applying deep learning techniques to enhance CCR modeling, focusing on implementing recurrent neural networks (RNNs) using real-world datasets. We detail the dataset characteristics, model architecture, training process, and evaluation metrics. The results indicate that deep learning models can outperform traditional approaches regarding accuracy, flexibility, and adaptability.

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Deep Learning for Counterparty Credit Risk Modeling: A Case Study with Real Data

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 Abstract

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William Makepeace Thackeray's is one of the well-known novelists of English literature wherein the reader can sense the novelist likes and preference towards the rogue elements in society. Besides criticizing the corrupt social systems he also takes arms against the wide spread snobbishness that is pervaded more or less in every society. He also despises of the violence that is caused by the armed conquests and territorial trespassing. William Makepeace Thackeray while presenting his disgust against the moral corruption of his times also follows the Victorian ideals regarding womanhood. He is a vocal critic of the opportunistic world which gives more weightage to materialism and affluence. He believes that over and extreme greed for monetary and pecuniary objects degenerate the human race. The wealth and materialistic culture are the progeny of human misbehavior. The negative traits like pride, arrogance and disrespect creep when the human being has innumerable financial resources. The limitless wealth blinds human being and he starts to behave like Almighty. Wealth creates mentality that underestimates those who are poor and fragile. The feelings like arrogance and pride are the direct result of the limitless hoarding of money. When a person is blinded by the innumerable wealth, he or she never bothers about others and misbehaves and maltreat those who are poor and needy. Besides sternly criticizing the ill effects of materialism the novelist does not spare the women of his times.

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 Keywords

Affluence, aristocracy, morality, patriarchy, rogue, society, values & woman etc.

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Creative Commons Attribution 4.0 and The Open Definition