Volume 12 | Issue 8 |

 Abstract

This paper provides an in-depth exploration of the development of the campus novel genre and its rise after the Second World War. The paper highlights key themes, major influencing factors, and prominent authors of this sub-genre of novels. It examines the profound impact of the war and contemporaneous social movements on the themes and narrative patterns of campus novels. The paper delves into the works of renowned authors and analyses inherent evolutionary tendencies within the text. This paper sheds light on the diverse ways in which writers grapple with the enclosed canvas of such fiction i.e., closed university walls and its divested bureaucratic routine. The paper also considers the thriving denizens of the ready-made world of campus and how they redefine its literary landscape. Through a comprehensive examination of this post-war genre, the study illuminates the richness and complexity of this significant period in literary history. The paper involves the study of literary and cultural trends, the representation of social issues, and the impact of historical and political contexts on the genre.

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 Keywords

Campus novel, narrative transformation, post-war literature, literary evolution

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Abstract: Recent studies shows that globally, more than 1.9 billion adults are overweight and 650 million are obese. Due to the consumption of junk food (i.e. unhealthy food habits), sedentary life style etc, Developing countries are facing high risk of obesity and their adverse consequences (i.e. diabetes, ischemic heart disease, etc). More than 135 million people in India suffered from obesity. In India, obesity prevalence varies on factors like age, gender, location, socioeconomic position, etc. The 2015 ICMR-INDIAB study states that the prevalence rates of central obesity range from 16.9% to 36.3% and 11.8% to 31.3%, respectively. Various studies have shown that the prevalence of obesity among women were significantly higher as compared to men1. This is a single case study of 38 years old married male patient visited in Patient Department at SDM College of Ayurveda and Hospital in Hassan. with complaints of weight gain since 1 year. The patient was treated with sarvanga udhwarthana with istika churna to whole body. Udvarthana is one among the Bahirparimarjana Chikitsa. It is simple and affordable procedure with minimum harmful effects. Istika churna is having highly rooksha, ushna, kapha medhohara properties which helps in reducing the weight gain and also have great reduction in inch loss. It is economical, cost effective and easily available

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Istikachurnaudhwarthana, sthoulya, obesity.udvarthana,istikachurna.

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The emerging growth of the Internet of Things has created various opportunities to develop high-value, prioritized solutions in digital systems. A prime factor in achieving timing synchronization in high-stability digital devices is the need for a robust technical system with a stabilized clock. In low-energy satellite synchronization sources, there is a problem with frequency tuning, where the main system cannot cope with the evening process. The primary issue in existing frameworks for synchronization in network-on-chip creation is considered a timing problem and evaluated as a dynamic network. The presented system focuses on creating a stabilized network-on-chip model, in which clock synchronization is achieved using a frequency-tuneable all-digital network-on-chip. The configurable network concept framework is developed with the help of a stabilized clock distribution network. The percentage system of the clock is designed to compensate for the physical connections in the network. To evaluate the proposed system's performance and quality of network synchronization, power analysis and latency calculations are conducted.

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 Keywords

Network on chip, Configurable design, Digital design, Low power design, Dynamic networks.

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This study has been undertaken stability analysis of Reinforced Soil (RS) Wall by both the limit equilibrium method (LEM) and Finite element method (FEM) methods have been studied. The design of RS Wall is based on its stability against Internal, external and Global analysis. Three RS Wall heights of 6.4m, 7.2m and 8.0m which are normally the heights of RS Wall have been considered for design, however in this paper only the height of 6.4m has been highlighted. Based on the requirement of bearing pressure and available bearing capacity of existing ground, the requirement of Ground Improvement also evaluated. An economic mode of Ground Improvement such as with Prefabricated Vertical Drain, Woven Geotextile and Geocell have been considered. There is not enough relevant analysis of RS Wall through numerical method available in the literatures so far available. An attempt has been made to find out comparison between analysis of RS Wall through LEM and FEM methods.

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RS Wall, LEM, FEM, ReSSA, GEO5, manual, Numerical, PLAXIS 2D, Analysis.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Jivan Bima ki Badhti Maang aur iski Upyogita ka Adhyayan

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Jivan Bima ki Badhti Maang aur iski Upyogita ka Adhyayan

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Creative Commons Attribution 4.0 and The Open Definition

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A complex challenge that might be helpful for many forestry-related jobs is identifying tree species using photographs of the bark. In this study, we introduce and make accessible to the public BarNet 1.0, a unique collection containing over 23,000 high-resolution bark photos captured at various tree diameters from 23 different types of trees. With it, we show that it is possible to recognize species using deep learning and pictures of bark. More precisely, we achieved an accuracy of 95.81%. This study aims to investigate different categorization methods for plant leaf identification. A dataset of 250 photos for each 874 plant species was gathered. For classification, four traditional machine learning methods were used: Support Vector Machine (SVM), Multilayer Perceptron (MLP), K-Nearest Neighbors (KNN), Decision Tree (DT), and MLP. In addition to color- and texture-based features, morphological features like physiological length, physiological width, centroid, area, diameter, perimeter, rectangularity, sphericity, aspect ratio, area convexity, and circularity were extracted to assess these classifiers' performance. The main objective was to determine the most efficient and successful machine-learning approach.

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Image Classification, Data Augmentation, Species Identification, CNN, BarkVN-50, K-Nearest Neighbours, Decision Tree, Support Vector Machine, Multilayer perceptron.

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Ginger is a medicinal factory that has been extensively used in Chinese, Ayurvedic and Gibb- Unani herbal drugs each over the world and has a long history of use in traditional systems of drug. The primary pungent agents are due to the presence of phenylalkylketones or vanilla ketones. ginger and ford are two most active ingredients of ginger grounded medications. They're reported to demonstrate antiemetic, antipyretic, analgesic, antiarthritic, and anti-inflammatory conditioning. ginger, the rhizome of Zingier functionary, is one of the most extensively used species of the ginger family( Zingiberaceae) and is a common seasoning for colorful foods and potables. ginger has a long history of medicinal use dating back 2,500 times in China and India for conditions similar as headaches, nausea, rheumatism, and snap. Characterized in traditional Chinese drug as racy and hot, ginger is claimed to warm the body and treat cold extremities, ameliorate a weak and tardy palpitation, address a pale complexion, and strengthen the body after blood loss. The review composition focuses on experimental advances in pharmacology of ginger and its analogues.

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Z. officinale, Active Ingredients; Ginger, Gingerol, Shogoal, Zingerone, Paradol

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Environmental problems and their effects have become a significant threat to the people and the environment. One of those problems is Environmental degradation. Environmental degradation is the process through which the environment is deteriorating through the depletion of resources such as quality of air, water and soil, pant animals, and all other living and non-living elements of the planet of earth. This process can be completely natural (flood, typhoons, droughts, rising temperatures, fires, etc.), or it can be accelerated, or it can be caused by human activity (modern urbanization, industrialization, overpopulation growth, deforestation, etc.). But the main cause of environmental degradation is the damage to the environment created by humans through industrialization. The industrialization has increased harmful flows and emissions of pollutants in water, soil, and air. These pollutants have caused severe and irreversible destruction to various species in that particular ecosystem. In this context, the present research paper attempts to study how the concept of environmental degradation is reflected in Cameroonian-American novelist Imbolo Mbue"s impactful second novel How Beautiful We Were. This is the story of some people living in fear due to the environmental degradation formed by the American oil company and a fearless young woman who starts a revolution against this company. This is a story of environmental destruction which is told through the eyes of the people who experience it. This novel shows that the degradation of the environment created by the American oil company does a lot of harm to the people of the village. They have built underground oil pipes on land owned by the village people. These oil pipes have created toxic waste in the river, destroying fishing and polluting the water. The novel depicts the degradation of the environment by polluting agricultural land and killing children with drinking water. I have tried to find answers to some environmental questions through this research paper. How are the pollutants formed by different organizations like the American oil company harming both the environment and human beings in the novel How Beautiful We Were? At the same time, in the age of globalization, I have tried to highlight the role of human beings towards nature in maintaining the harmony of man and nature, the survival of humanity, and the preservation of nature.

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 Keywords

environmental degradation, Environmental Loss, Ecological Disaster

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This paper explores the progressive evolution of Convolutional Neural Network (CNN) architectures for Field-Programmable Gate Arrays (FPGAs), emphasizing design optimization strategies, advancements in computational complexity reduction, speed enhancements, and efficient resource utilization. Recent developments in FPGA-based CNN architectures are reviewed, highlighting key innovations and methodologies that have contributed to achieving real-time inference on resource-constrained hardware.

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CNN, FPGA, CPU, GPU, RAM

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The National Education Policy (NEP) 2020 of India emphasizes the significant role of technology in transforming the educational landscape. This research paper explores the integration and use of technology in education as per NEP 2020, focusing on its directives, potential impacts, challenges, and recommendations. The study employs a qualitative research design, including literature reviews, policy analysis, interviews with educators and policymakers, and case studies of successful technology integration. Key directives such as the establishment of the National Educational Technology Forum (NETF), the Digital Infrastructure for Knowledge Sharing (DIKSHA), and the use of AI for personalized learning are examined. Potential impacts on educational practices include enhanced accessibility, improved teaching and learning, continuous professional development for teachers, and data-driven decision-making. However, challenges such as the digital divide, lack of teacher training, inadequate infrastructure, cybersecurity, and privacy concerns must be addressed. The paper provides recommendations to overcome these challenges, aiming to ensure inclusive, equitable, and effective implementation of technology in education.

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 Keywords

NEP 2020, educational technology, technology integration, digital learning, personalized learning, digital divide, teacher training, educational policy, AI in education, online education, data-driven decision-making, cybersecurity, inclusive education.

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