Volume 11 | Issue 2 | February-2023

 Abstract

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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 Keywords

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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 Keywords

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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?????? ???? ?? ?????? ?? ?????????? ?????????? ?? ???? ?? ????? ?? ???? ?? ??????, ?????? ??? ???????? ??????? ?? ?????? ????? ??? ?? ?????? ???? ?? ?????? "?????? ???? ?? ????? ?????? ?? ??????? ??? ??????? ?? ????? ??? ?????? ?? ??? ?????? ????? ?? ??????? ?? ?"

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

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Creative Commons Attribution 4.0 and The Open Definition

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This study aimed to develop a deeper understanding on the Uniform Civil Code. Existence of a variety of cultures, so many religions etc. are the basic characteristics of India as a nation and they carry their own exclusive and unique identity. India has her heart and soul in the religio-cultural diversity and the same has been a feature of India's identity in past, present and will continue to be in future. A 'Uniform Civil Code' (UCC) refers to a common set of rules of governance for all citizens of the country and it advocates for a system of law as per which all the sections of society without any discrimination on the basis of religion shall be treated with equality according to a national civil code, which shall be applicable to all in a uniform manner. This study utilized a qualitative research through websites, Newspapers, societal thoughts etc. The present study raises some questions and concerns related to conflict between personal laws and UCC. The UCC is a sign of modern progressive nation as the nation is reaching heights worldwide in other areas also. A progressive and broadminded outlook is needed among the people to understand the spirit of such code. Moreover, the matter being sensitive in nature and on basis of the sensitivity a committee of eminent jurists should be constituted to maintain uniformity and must keep an eye on not to hurt the sentiments of any particular community. It is found that One nation should have one Civil Code.

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 Keywords

UCC, equality, uniformly, community, laws.

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Creative Commons Attribution 4.0 and The Open Definition

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The article highlights the main concepts of calculus, decade long development, and numerous applications. Calculus, which was derived from the revolution work by Newton and Leibniz in the late 17th century, has greatly affected mathematical problem solving and the analytical thinking. Calculus concepts of Euler, Lagrange, and Cauchy were developed during the 19th century which moved closer to a more rigorous comprehension. A major idea of calculus--limits, derivatives, and integrals--is explained, stressing the role of these ideas for dealing with motion, rates of change, and value accumulation. In unlike circumstances with motion and velocity in the physical world, derivatives rates of change symbols are applicable, while indefinite and definite integrals find their use for calculating cumulative values and finding net change over intervals. The article explores the many uses of calculus in computer science, biology, engineering, economics, and physics. Calculus is used in physics to understand dynamic systems and forecast object motion, in engineering for optimization, in economics to model economic variables, in biology to explain biological systems, and in computer science for machine learning and artificial intelligence algorithms, such as gradient descent optimization. All things considered, the essay offers a thorough review of the background information, essential ideas, and real-world uses of calculus in a range of scientific and technical domains.

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 Keywords

Applications of calculus, Calculus concepts, Development, Fundamental

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The new women seek a new identity in a male dominated world no doubt women have so many bitter experiences, the miserable humiliations, the helpless cries of women go unnoticed. New women brings new ideas new thinking and new attitude, when the social pattern changed the women came forward emerged as the new women to see a new identity

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

new women, new identity.

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Creative Commons Attribution 4.0 and The Open Definition