Volume 4 | Issue 3 |

 Abstract

Rapid sand filtration is a widely adopted technique for purifying water in various applications, ranging from municipal water treatment plants to industrial processes. This abstract provides an overview of the rapid sand filter, highlighting its key principles, advantages, and applications. The rapid sand filter is a gravity-driven filtration system that utilizes a bed of sand as the primary filtration medium. Water flows through the sand bed under gravity or low-pressure conditions, undergoing physical and biological processes that remove suspended solids, pathogens, and other impurities. The sand bed acts as a physical barrier, trapping and retaining particles while allowing the passage of clean water. This abstract discusses the key factors influencing the efficiency of rapid sand filters, including sand grain size, uniformity, and depth. The control of filtration rate, backwashing frequency, and the use of coagulants or flocculants are also addressed, as they significantly impact the filter's performance. Proper maintenance and monitoring are crucial to ensure optimal filter operation and prevent clogging or biofilm formation. Rapid sand filtration offers several advantages, such as simplicity, cost-effectiveness, and ease of operation. It is capable of achieving high removal efficiencies for suspended solids, turbidity, and certain pathogens, making it suitable for a wide range of water treatment applications.

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 Keywords

Coarse aggregate, Sand ,Coconut shell.

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Baudhayana was a important and prominent Figure in ancient Indian Mathematical history. He was renowned for his Contributions to mathematics, geometry and religious law. He is believed to have lived around 8th Century BCE. Though the exact dates of his life remain uncertain. Baudhayana is primarily known for his authorship of the Baudhayana Sulba sutras . A Collection of vedic texts that deal the Baudhayana with the construction of altars and other sacrificial Structures. These Contain some of the earliest known references to mathematical Concepts. His works remains larely unrecognized outside of academic Circles, overshadowed by the more familiar names of Pythagoras and Euclid.

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 Keywords

Important, Prominent, Geometry, Religion, Altars, Structures

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Abstract: Bangalore, a rapidly growing metropolis in India, faces significant challenges due to air pollution, impacting public health and environmental sustainability. This abstract outlines the causes, effects, statistics, and control measures pertaining to air pollution in Bangalore. The main contributors to air pollution include vehicular emissions, industrial activities, construction dust, and biomass burning. These pollutants lead to severe health issues such as respiratory diseases and cardiovascular problems among the city's inhabitants. Statistical data reveals alarming levels of particulate matter (PM), nitrogen oxides (NOx), sulfur dioxide (SO2), and volatile organic compounds (VOCs) exceeding permissible limits set by regulatory bodies. To combat this issue, Bangalore has implemented various control measures including vehicle emission norms, promoting public transport, and enforcing industrial emission standards. Additionally, urban planning strategies and awareness campaigns play crucial roles in mitigating air pollution. Continuous monitoring and strict enforcement of environmental regulations are essential to improve air quality and ensure sustainable development in Bangalore. Bangalore, one of India's fastest-growing cities, is grappling with severe air pollution issues, primarily stemming from vehicular exhaust, industrial emissions, construction activities, and biomass burning. This abstract provides a comprehensive overview of the causes, effects, statistics, and control measures related to air pollution in Bangalore. Causes: Air pollution in Bangalore is predominantly caused by the massive volume of vehicles on its roads, which emit pollutants such as particulate matter (PM), nitrogen oxides (NOx), and volatile organic compounds (VOCs). Industrial activities, including manufacturing and construction, also contribute significantly to pollution levels. Additionally, seasonal factors like crop residue burning further exacerbate air quality issues. Effects: The detrimental effects of air pollution in Bangalore are wide-ranging and severe. High levels of PM and NOx lead to respiratory ailments such as asthma and bronchitis, especially impacting vulnerable populations like children and the elderly. Long-term exposure increases the risk of cardiovascular diseases and can adversely affect overall public health. Statistics: Recent data reveals alarming statistics regarding air quality in Bangalore. PM levels often exceed the permissible limits recommended by the World Health Organization (WHO), posing significant health risks to residents. The concentration of pollutants like SO2 and VOCs also frequently surpasses acceptable standards, underscoring the urgent need for intervention. Control Measures: To address air pollution effectively, Bangalore has implemented various control measures. These include stringent emission norms for vehicles, encouraging the adoption of electric and hybrid vehicles, and promoting public transportation systems. Industrial emissions are regulated through strict enforcement of pollution control norms, while urban planning emphasizes green spaces and sustainable development practices. Public awareness campaigns play a crucial role in fostering community participation and support for pollution control initiatives. In conclusion, mitigating air pollution in Bangalore requires a multi-faceted approach encompassing regulatory enforcement, technological innovation, and community engagement. Continued efforts in monitoring air quality and implementing sustainable practices are essential to safeguard public health and ensure a sustainable urban environment for future generations.

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 Keywords

Keywords: Bangalore, air pollution, causes, effects, statistics, control measures, Air Pollution ? Bangalore ? Urbanization ? Vehicular Emissions ? Industrial Pollution ? Particulate Matter (PM2.5, PM10) ? Health Impacts ? Environmental Effects ? Air Quality Index (AQI) ? National Clean Air Programme (NCAP) ? Pollution Control Measures ? Electric Vehicles (EVs) ? Urban Planning ? Biomass Burning ? Construction Dust ? Waste Management ? Respiratory Diseases ? Acid Rain ? Smog ? Green Belts ? Pub

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Mysore forms the Southern most district of Karnataka state and is situated in the southern part of Deccan peninsula. It is believed that, the name 'Mysore' is derived from 'Mahishasura', the buffalo-headed demon who lived in this area and was killed by Goddess Chamundi. Mysore district is one of the important districts of Karnataka State for several reasons. Prior to 1973, Karnataka State was known as Mysore state only. The district has 7 talukas, 1,336 villages as per 2011 census. The district has a population of 30, 01,127 (4.9% of the total population of the state) and stands at 3rdplace in the State after Bangalore and Belgaum. The density of population of the district is 476 per sq. km. The total area of Mysore district is 6307 sq. km. Mysore city is the headquarters of the district and also a revenue division. It is well known for its famous 'Brindavan Gardens' that are laid out at the Krishna rajaSagar, a reservoir across the Cauvery river. The Districts (city) is also known throughout the world for the pomp and gaiety with which the traditional "Dasara" festival is held annually during the Navaratri (September - October) The tourists throng from all over the country and abroad in great numbers to witness "Jamboo Savari" the chief attraction of occasion. Even now, the city boasts of 30 palaces and around 300 heritage places. Mysore district is not only rich in antiquarian remains but also enjoys the distinction of yielding the largest number of inscriptions among the districts of the state. Mysore District is situated in the Southern part of Karnataka State. The district lies between 11o60 and 20 o17 north latitude and 75 o 18 and 77 o 77 east longitude. Hassan Mandya, and Bangalore Districts bound it on the North; on the South by Cannonore District of Kerala State and Chamarajanagar District of Karnataka State. West by Kodagu district of Karnataka. Mysore district has rich culture, tradition and also known for its bio diversity. This paper attempts to analyse the different dimensions of geographical profile of the district.

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Mysore district, soil diversity, climatic variation, Irrigational facilities, Arable land profile of the district

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 Abstract

BANGLA BHROMON SAHITYER PORICHOY.'

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BANGLA BHROMON SAHITYER PORICHOY.'

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The agro-industrial sector in developing nations has a number of obstacles, including the need to boost food production and yield and provide opportunities for rural and impoverished populations to find work. The agricultural industry is also impacted by rapid developments and global factors. The aforementioned data suggests a significant demand for information and information technologies (IT), which can be leveraged to enhance agricultural marketing and productivity while meeting new difficulties. Agricultural uses of IT, however, do not completely realize its promise. In contrast to other economic sectors where modern IT has been adopted quickly, the agricultural sector and rural areas have adopted modern IT more slowly. The study aims to describe options for the use of IT in various fields of the agricultural sector and to examine the role, potential, and contribution of IT in agribusiness. Our conclusions, which are supported by economic theory and the body of existing literature, indicate that information technology (IT) holds a lot of promise to help farmers and other stakeholders increase the productivity, efficiency, and effectiveness of agriculture. However, there are numerous obstacles and issues with IT deployment and use that the stakeholders must deal with

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Information and communication technologies, agriculture improvement, agribusiness electronic commerce

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Regional development issues are very complex. Single variable is not sufficient to portray the complexity. Impacts of some variables are not directly observable. Multiple variables may also not be able to tackle the complexity, if those are not properly chosen. Within such constraints the paper studies the level of development on the basis of non-agricultural variables and its regional spatial distribution. It also reveals the development scenario of the industrialization, urbanization, transportation development, physiographic constraints, etc. A composite Index method is selected i.e. First Principal Component method which is very useful and versatile in the construction of composite index. Secondary data are taken from the statistical handbooks of Assam and some basic cartographic and statistical diagrams are used apart from the main method. Outcome of the paper, at least, would be able to give insights to the regional planners.

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Regional Development, Composite Index of Development, Principal Component method

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India is not an exception to the main issues facing underdeveloped nations: poverty, unemployment and women empowerment. To combat poverty and encourage chances for productive employment, the union government has put in place a number of programs. "Self Help Groups" being one among them. Self Help Groups (SHGs) are mutual help groups that are supportive, educational, and typically focused on bringing about change. Empowerment is a multi-dimensional process, which should enable women or group of women to realize their full identity and power in all spheres of life. Self Help Groups play an important role in empowering the women in India. Microfinance through Self Help Groups has enabled rural women to transition into women entrepreneurs which in turn leads to women empowerment.

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SHG's, Empowerment, Microfinance, rural women.

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Comparing the size of the sex category with a ratio is a common way to discuss sex ratios. The analysis of population sex ratios aids in determining the unique needs of men and women. Understanding the differences between rural and urban areas in a given area's sex ratio aids in identifying the unique needs of the local populace. Population sex ratio research is crucial for planning labour forces, regional urban areas, the economy, and development. In India, the overall sex ratio (OSR), which was 947 in 2001 and grew to 948 in the most recent census, has been steadily rising. It demonstrates that throughout the past ten years, the number of children (0-6 years) has grown at a pace of 2%. Out of the fifteen tehsils in the Nashik district at this time. The child sex ratio has decreased in eight tehsils. Additionally, the spatial distribution of CSR differs throughout tehsils. decline in the child sex ratio demonstrates the societal foeticide of sons. A significant contribution to the decline in the child-sex ratio is made by health facilities that use PNDT techniques for sex determination.

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Population, Decadal Growth, Sex ratio, Child-Sex Ratio, Variation.

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The key objective of this study is to fill the gap between personalized medicine and healthcare that currently exists by integrating forecasting diagnosis channels and individualized treatment made possible by artificial intelligence (AI). With advancements in big data analytics, machine learning, and deep neural networks, this research explores how AI can revolutionize healthcare by facilitating exact predictions of disease risk, diagnosis, and treatment response tailored to each patient. For instance, AI includes implementing deep neural networks for dermatologist-level classification of skin cancer and AI usage in cardiology for risk prediction and diagnosis [1]. This study outlines the existing literature and recently challenging issues in technology to explain the opportunities that AI-based personalized medicine will offer people to improve the outcome of their health, reduce the wastage of resources, and, lastly, minimize health inequalities. Secondly, this paper looks at the implications of personalized medicine approaches on the US healthcare system regarding managing chronic conditions like diabetes [1]. Today, personalized treatment plans based on the patient profile are preferred over one medication regime for all patients. Similarly, it also underscores the potential for better productivity, cost reduction, and patient-oriented treatment. Ultimately, it serves to outline the future of personalized medicine in the US with particular emphasis on two main topics, which are the persisting challenges and the opportunities for further development and adoption of such technology, such as integration of genomic data into clinical decision making to fit treatment of cancer patients.

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 Keywords

Healthcare, Patient outcomes, health disparities, artificial intelligence, personalized medicine, machine learning, chronic conditions, genomic data, U.S Healthcare System, AI systems, Disease Diagnosis

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