Volume 11 | Issue 5 |

 Abstract

Kannada kavya mattu buddana baduku tatva

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91

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Since hundreds of years natural material is used as aggregate in the construction of pavement roads. Various types of roads are constructed using different materials, not only are they required in large quantity but also are unsustainable for long term use. We suggest the use of the steel slag as aggregate in the road construction. The use of the steel slag offers solution to the two big problems the world is currently facing - the growing challenge of efficiently managing the waste which is increasing day by day and the requirement of the large quantity of natural material for pavement construction. Steel slag can be used to replace the natural aggregate because it has favourable mechanical property including strong bearing and shear strength, good soundness characteristics, and high resistance to abrasion and impact. It is actually recycled as a specialty aggregate for road construction, foundation stabilization and to coat flexible pavement acting as a binding material. Many researchers have studied the use of the steel slag as an aggregate to design asphalt concrete for road construction. Our test results show that steel slag aggregate surpasses natural aggregate by 27.72% in aggregate abrasion test, 31.41% in aggregate impact value test, 1.94% in aggregate flakiness and elongation test, 3.39% in aggregate soundness test, 6.17% in aggregate stripping value test and 29.81% in aggregate crushing value test. The purpose of this project is mainly to review the properties of steel slag and various uses in road construction which could be of great importance.

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Steel slag, aggregate, by-product, stabilization

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The Blockchain-Based Secure Healthcare System for Diabetic-Cardio Disease Prediction is a novel healthcare solution that combines Blockchain technology and machine learning to predict the likelihood of developing diabetic-cardiovascular diseases. The application provides patients and healthcare providers with a secure platform to store and share medical data while maintaining privacy and security. The BSHS uses KNN algorithms to analyse patient data and predict the likelihood of developing diabetic cardio vascular diseases. The predictions are stored on the Blockchain, ensuring the security and immutability of the data. Patients can access their predictions and health status at any time through the application. Healthcare providers can also use the application to monitor patient health, provide timely interventions, and improve patient outcomes. The Blockchain-Based Secure Healthcare System for Diabetic-Cardio Disease Prediction provides an innovative solution to the growing healthcare challenges of chronic diseases and the need for secure, decentralized, and personalized healthcare services.

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Block chain, KNN, BSHS

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Machine Learning, Deep Learning, Decision Tree

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Today, almost everyone believes that caste is a long standing, unalterable institution that is only kept in place by ingrained religious ideology. It frequently appears as a social type in multi-ethnic civilizations. Nonetheless, it evolved into a very inclined, politicised kind of racial classification in South Asia as a result of the ongoing exertion of socioeconomic dominance. This paper focuses on how three important Tamil movies Pariyerum Perumal, Karnan and Jai Bhim depict the terrifying events that the Dalit people must deal with and their helplessness. These films illustrate how the government and the so-called privileged group of people respond to or react to the concerns of this poor population. The caste system is a form of slavery which is indoctrinated into our Indian culture. One difference being the slave trade was in Africans, while the caste system traded in Dalit's, Adivasi's and later called Harijan's name a few general castes.

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Dalit, Justice, Pride, Honour killings, Custodial-murder

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In this ever digitizing world, maintaining integrity of data is of utmost importance to ensure that this digital world remains safe for the consumption of the masses. However, as technology advances, the ease of protecting this data decreases as stronger passwords and encryption keys need to be used. In order to keep up with this technological advancement, Biometrics are employed in order to secure these systems and technologies however in the current state of Surveillance, Biometrics is being employed in combination with Mass Surveillance technology. This paper will be talking about the implications of combining the usage of Biometrics and Mass Surveillance technology on the world as a whole.

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Biometrics, Mass Surveillance, Privacy, Artificial Intelligence

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With the increasing demand for transportation and the rapid urbanization of India, innovative solutions and methods are being developed and imported from other nations. Numerous Maestro Rapid Transit systems have emerged in numerous cities over the past decade, including Metro Rail, Bus Rapid Transit systems, and Monorails. The interconnection of these public transportation modes and several other means is currently a crucial issue from the users' and planners' points of view, for simple travel between the numerous modes and sustainability of the city's overall public transportation network. This paper attempts to comprehend the integrated multi-modal urban transportation system for Indian cities. With the use few case studies and taking references of a few previous studies by researchers, efforts are made to identify the characteristics, benefits, and challenges of integrated multi-modal urban transportation for Indian cities. The Urban Transportation Planning Concepts regarding the development of Interchange Hubs are explored.

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Multimodal Transportation, Content analysis, City Planning, Integrated Public Transport

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Abstract :Increase in the demand of conventional construction materials and the need for providing a sustainable growth in the construction field has prompted the developers to opt for `Alternative materials. For this objective, agricultural by-products like rice husk ash can be replaced instead of cement. Rice Husk ash provides good compressive strength to the concrete, it is a by product, hence, it helps in cutting down the environmental pollution. The high silica content makes it is good supplementary Cementous material. It is highly porous and light weight, with a very high specific surface area . Now we are going to measure and compare with 0%,5%,10%,15%,20% of replacement of rice husk ash with cement on strength aspects with some tests like compressive strength ,split tensile , flexural strength and workability tests (slump flow) were carried out on Cubes of size 150mm*150mm*150mm , cylinders of size 150mm*300mm,beams of size 100mm*100mm*500mm.These specimens were tested for compressive strength , split tensile strength , flexural strength respectively for 7 days and 28 days of curing period.

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Rice husk ash, Compressive Strength, Split Tensile Strength, Flexural Strength.

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Think about the scenario when you are seeking to forecast the marketing performance of a particular product. Customers could be categorised into many groups based on how they behave in the market. Recognise that our five senses cannot possibly process the tremendous amount of information that is available. Algorithms for machine learning and processing power will be used. One of the many important uses of unsupervised learning is customer segmentation. Make use of clustering algorithms (K- means, Agglomerative, and Mean Shift) to pinpoint client segments where the potential user base is most likely to be. As a result, groupings of customers are created based on shared traits like gender, age, and spending habits. Age and gender-related trends can also be found using K-means clustering. Examine their yearly revenue and after that, expense totals. Compared to the existing model, which makes use of Mini Batch K-means, the results from the projected model are more accurate.

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clustering, algorithms, segmentation

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Child obesity has emerged as a global public health concern, with a significant increase in prevalence over the past few decades. This review article aims to provide an in-depth analysis of the multifactorial causes, detrimental consequences, and potential interventions for child obesity. We explore the complex interplay of genetic, environmental, social, and behavioral factors contributing to the development of obesity in children. Additionally, we examine the short- and long-term physical and psychological health consequences, emphasizing the importance of early intervention and prevention strategies. Finally, we discuss evidence-based interventions, including lifestyle modification, school-based programs, and community-driven efforts, in order to address this growing epidemic. By synthesizing current knowledge and highlighting gaps in research, this review underscores the urgent need for collaborative efforts among stakeholders to promote healthy lifestyles and prevent child obesity.

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Childhood obesity, Health consequences, Prevention strategies

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