Volume 9 | Issue 2 |

 Abstract

Amid COVID-19 pandemic, a nationwide lockdown is imposed in India initially for three weeks from 24th March to 14th April 2020 and extended up to 3rd May 2020. Due to the forced restrictions, pollution level in cities across the country drastically slowed down just within few days which magnetize discussions regarding lock-down to be the effectual alternative measures to be implemented for controlling air pollution. The present article eventually worked on this direction to look upon the air quality scenario amidst the lockdown period scientifi-cally with special reference to the megacity Delhi. With the aid of air quality data of seven pollutant parameters ( PM2.5, SO2, NO2, CO, O3 and NH3) showing the spatial pattern of air quality in pre and during-lockdown phases. The results demonstrated that during lockdown air quality is significantly improved. Introduction A outbreak, named COVID-19, was detected in Wuhan, China, in Dec 2019, and more than 100 countries were affected with disastrous outcomes within three months. On 11 March 2020, it was found that the spread of COVID-19 was caused by the new Coronavirus SARS-CoV-2 and declared as a pandemic The first documented case of COVID-19 in India was detected on 30 January 2020 in Kerala and increased to three on 3 February when three students returned from Wuhan, China and the first death was registered on 12 March. Till 3 May 2020 the combined number of overall diagnoses with COVID-19 was more than 40 thousand across India. In order to avoid illness, countries have strictly regulated the movement of persons and transportation; limit human interactions; impose stringent quarantine; ban large-scale private and public gatherings; promote social distances; regulate private and public transport and economic activity. India has been undergoing a national lockdown since 24 March 2020, which began with a voluntary public curfew on 22 March, followed by a 21-day lockdown starting from 24 March. The closure of the manufacturing industries, the limitation of human movement and the regulated public transit system have contributed to a decline in the emission of pollutants. Along with the restriction steps to level out the disease curve, several other elders have been affected. Studies by numerous researchers have demonstrated how the shutdown has increased the efficiency of the freshair air . In India, air pollution has been a focus of intense discussion at all stages, primarily due to intensified anthropogenic activities such as rapid urbanisation, accelerated population growth , increased oil usage, automobile emissions and industrial emissions. The goal of this analysis is to examine improvements in air quality in terms of concentration of contaminants during the implementation of lock-down initiatives to counter the COVID-19 pandemic in major cities in India. The objective of the project is to a. Study the changes in air quality during the lockdown period. b. Understanding the overall improvement in air quality during the lockdown period in comparison to the pre-lockdown period and proceeding years. c. Calculate. Monitor and compare Data for a total of eight criteria pollutants namely Particulate Matters (PM2.5 and PM10), Sulphur Dioxide (SO2), Nitrogen Dioxide (NO2), Carbon Monoxide (CO), Ozone (O3), Ammonia (NH3) and Nitrogen monoxide (NO). d. Provide insights into the air quality enhancement obtainable by short term periodic suspension of polluting industrial activities as well as transportation and will hopefully supplement necessary start ups to the academicians, policy makers and citizens to chart out healthier policies so as to manage air pollution. In this study, various datasets were taken from WAQI, CBCP AND CPAA. Data is aggregated to a single set by combining and averaging the dataset related to various perimeters obtained from different stations available between the geological locations of 13 cities (Ahmadabad, Bengaluru, Bhopal, Chandigarh, Chennai, Delhi, Gurugram, Hydrabaad, Jaipur, Kolkata, Lucknow, Mumbai and Patna). And further classified as averaged monthly datas. As study focusses on analysis of lockdown effect before, after and during the lockdown, the whole study period is divided into 7 monthly intervals and various analytics related to different phases are derived from it.

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air polltution, lockdown

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Yoga Therapy (YT) Research (R) is a relatively new topic for discussion, but a vast and diverse topic having a substantial spiritual background and backing behind it. Nowadays, its challenge is to 'prove' to the scientific community regarding its 'benefits'! But since it has an enormous spiritual backing, the potential is enormous and, a lot needs to be explored. As with any other 'agendas' that we come across, there's a possibility of negative and positive associations with it. YTR has its own sets of strengths and weaknesses, and therefore, it's advisable first to know the background and then discuss the actual agenda, i.e., SWOT analysis of YTR.

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Swot Analysis of Yoga Therapy Research

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ABSTRACT Mosquitoes are the most important single group of insects in terms of public health importance, which transmit a number of diseases such as filariasis, dengue, malaria and chickungunya fever. Some species transmit major disease like, Aedes aegypti, which is a vector of dengue disease distributed throughout tropical as well as subtropical zones.The continuous application of synthetic insecticides causes development of resistance in vector species, biological magnification of toxic substances through the food chain and adverse effects on environmental quality and non-target organisms including human health. Application of active toxic agents from plant extracts as an alternative mosquito control strategy was available from ancient times. To determine biologically active compounds ?-sitosterol and Saponin from the petroleum ether fruit extract of C. melo which is used against the larvae of Aedes aegypti. The Larval mortality was observed after 24h exposure and highest larval mortality was found in petroleum ether fruit and leaf extract of C. melo. Keywords: Aedes aegypti, cucumis melo, petroleum ether, larvicides

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Keywords: Aedes aegypti, cucumis melo, petroleum ether, larvicides

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satisfaction level, effectiveness of welfare facilities.

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Account receivables (AR) systems are a critical part of financial system of any business. Effective management of AR and financial performance of firms are positively correlated. Invoice to Cash (I2C) process, is a critical part of AR, which starts from the moment an invoice is created until the moment the customer's debt (payment) is settled or reconciled. Inefficient AR management delays cash realization, causing financial crunch of a given firm. In this context there have been attempts to address the issue of outstanding receivables through improvements in the collections strategy, specifically, through supervised learning to build models for predicting the payment outcomes of newly-created invoices, thus enabling customized collection actions tailored for each invoice or customer. Such models can predict if an invoice will be paid on time or not and can provide estimates of the magnitude of the delay. Predictive models use analytics to predict probability of event to happen. To effectively predict payment behavior of customers, the data that is generated in AR system has to be accurate in quality and interpretation, if not, may result in wrong predictions. Current predictive models which are based on business rules need to be data driven and the data has to be accurate, usage of proper algorithms, multiple models to make predictive models more comprehensive and thereby resulting in better business decisions. Improving approach of predictive models and data accuracy feeding into Predictive Model for Invoice scoring and usage of appropriate algorithms and comprehensive approach are dealt in this paper. The algorithm being proposed gives a statistical model, which uses business domain based variables

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Account receivables, Open Items, Closed Items, Touch Data, Days Past Due (DPD), Payment Term, Self-Cure, Ageing Bin, and Segmentation

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Truths, Violence, Alertness, Faith.

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BUNDELI BHASHA KA SANSKRIT SAMBANDH

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BUNDELI BHASHA KA SANSKRIT SAMBANDH

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Knowledge, Active aging process, Senior Citizens.

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