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    Domestic water use efficiency and circular economy
    (Elsevier, 2025) Nikhil, S.; Sridevi, S.; Rao, C.S.; Gudapati, G.
    Water is essential for economic growth because it interacts with the manufacturing, agricultural, and energy segments. Sustainable practices in household water management involve preserving water resources and mitigating the environmental effects of water extraction, treatment, and disposal. One can minimize wastewater and encourage resource efficiency by optimizing water use inside households through technology, practices, and policies to reduce water consumption, such as gray water systems, low-flow fixtures, rainwater harvesting, and water recycling systems. In addition to improving the condition of agronomic soils, reusing treated wastewater for irrigation may reduce greenhouse gas emissions. This is in line with the circular economy's tenets, which include reducing waste, recycling materials, mitigating economic uncertainty, and optimizing resource use throughout the lifespan of a product. Implementing circular water management techniques at home promotes resource stewardship and builds a more resilient and sustainable water system. This chapter explains how the framework may improve resilience and reduce emissions while making sustainability more financially and ecologically viable. Encouraging water-saving practices among families is essential for increasing water usage efficiency, in addition to technical solutions. The adoption of the suggested efficiency indices to improve urban water conservation tactics for the majority of water consumption. © 2025 Elsevier Inc. All rights reserved.
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    Impact of COVID-19 on the Sectors of the Indian Economy and the World
    (Springer Science and Business Media Deutschland GmbH, 2023) Gite, R.; Vathsala, H.; Koolagudi, S.G.
    It is known that the SARS-CoV2 (More popularly known as Corona Virus) has affected the way countries function. It has influenced the general health and economy of various countries. Earlier studies have discussed the economic repercussions of various epidemics qualitatively. This paper discusses employing correlation analysis in combination with machine learning techniques to determine the impact of the virus on country’s economic health. The results are justified by the trends seen in pre-COVID, COVID and post-COVID phases there by providing a base for predicting economic conditions of the world in case of any such pandemics in the future. The study includes country-wise analysis for which fifteen country’s economic data is analyzed and sector-wise impact analysis with a specific case of India has been attempted. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.