Volume 8 | Issue 6 |

 Abstract

Demographic research however has been developed as an important area of interdisciplinary study within the ambit of social gerontology in the main context of an ever graying world population. A thorough literature review was conducted as part of study t find out of the areas of concern within the emerging issues in the process of ageing and also to know the various sources of data and certain methodologies applied in various studies and identify the research gaps and areas for further research. The present study intends to estimate the health, social and economic problems of elderly population and also utilization of primary health care services by them. Off late there has been a vast growth of literature on ageing trends, patterns, socio-economic and demographic profiles of the elderly. Besides cross sectional studies on specific studies aspects of the elderly have been done based on sample studies. Also, longitudinal cohort studies with in depth analysis of the different strata within the elderly need to receive specific attention on a multidisciplinary level by adopting a much holistic approach to ageing population.

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 Keywords

Interdisciplinary study, ageing population, gerontology, population studies, economic problems

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The COVID-19 pandemic has been a major shock to the Indian economy and has disrupted the growth of almost all the sectors. The imposition of lockdown has brought economic activities to a standstill and created widespread unemployment especially in the informal sectors. One of the worst hit in this scenario are the migrant workers. Migrant workers are the backbone of the economy of this country. They provide their labour to several sectors of industries in the urban areas and keep them running. Most of them work in informal sector. The plight of the migrant workers and the inhuman conditions they were facing, was clearly visible when the lockdown forced lakhs of them to walk miles after miles towards their homes on foot. The reverse exodus of migrant workers proves that they are not considered at par with other citizens and are valued only for their labour power. Therefore with loss of work, the cities had nothing to offer to the migrant workers. They were left with no work, no food, no housing and even no transportation for coming back to their hometown. In this situation they prefer to die from the virus in their own village rather than starving for an indefinite period in their workplace.

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 Keywords

Covid-19, Lockdown, Migrant workers, Unemployment

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 Abstract

Covid-19 has brought along widespread economic distress and health crisis that the world had never experienced in the 21st century. However, India, with its vast population is dealing with economic, health and migrant crisis � all at the same time. While the world economies are coming up with their relief packages and policies to revive their economy, India has brought to the table its idea of self reliance in the form of an Atma-Nirbhar Bharat Campaign . This research paper begins by discussing about the idea of self-reliant India in a substantive manner and moves on to elaborate its applicability in a practical manner, especially for the benefit of migrant workers. Then it brings to light the man-power opportunities that India can exploit post Covid-19 and also discusses the hurdles India needs to overcome in order to realize a self-reliant economy. The paper is concluded by putting forwards various suggestions and the importance to establish a strong supply chain.

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 Keywords

COVID-19, self-reliance, economy, opportunities, India, migrant workers.

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In conventional footing/foundations when the load is applied, the soil beneath the footing will spread laterally. If the lateral movement of the soil is restricted by providing vertical sections beneath the footing, the bearing capacity of the soil increases due to its confinement. The vertical sections attached along the outer perimeter of the footing is known as skirt and the footing is known as bucket/skirted/bounded/confined footing. These types of footings are commonly employed in offshore structures. Skirted foundations are alternative solutions for deep foundations. They are also economical when compared deep foundations. However, skirted foundations are yet to find its place in onshore structures. Recently skirted foundations have caught the attention of engineers. Although research works are ongoing, significant contribution is yet to come. Pressure-settlement curve is drawn for different parameters to determine the bearing capacity of the skirted footing. To compare these test results with conventional footings, similar tests were repeated for footings without skirts and suitable recommendations are made for optimal design of skirted footings. A detailed numerical analysis is also done to validate the experimental test results.

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bearing capacity

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Water is considered as everlasting free source that can be acquired naturally which is essential for environment, food security and sustainable development. Sustainable use of water could maintain a balance between its demand and supply. Sustainability of RWH in meeting the household demands of fresh water is the prime focus of this study. The method of this study comprises of various literature reviews. Availability of drinking water and provision of sanitation facilities are the basic minimum requirements for healthy living. Rainwater harvesting is the most traditional and sustainable method, which could be easily used for potable and non-potable purposes both in residential and commercial building. Rainwater harvesting, in its broadest sense, is a technology used for collecting and storing rainwater for human use from rooftops, land surfaces or rock catchments using simple techniques such as jars and pots as well as engineered techniques. Rainwater harvesting has been practiced for more than 4,000 years, owing to the temporal and spatial variability of rainfall. Rainwater harvesting describes processes in which precipitation that falls on a site is diverted, captured, and stored for use on-site, as opposed to allowing it to run off, evaporate, or infiltrate into the soil. Depending on its intended use, the captured precipitation may require treatment. In a broad sense, rainwater harvesting can also include capture from surface water runoff rapid population growth, combined with industrialization, urbanization, agricultural intensification and water intensive lifestyle is resulting in a global water crisis. Sustainable rainwater harvesting provides the long-term answers to the problem of water scarcity. This paper mainly conveys importance of RWH and factors to be considered for rainwater harvesting system and new technologies used in this system.

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 Keywords

Rainwater Harvesting, global perspective, sustainability, dimensions and indicators

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The authenticity of information has become a long standing issue affecting businesses and society in social media. On social networks, the reach and effects of information spread occur at such a fast rate and spreading false information on social media may cause real world impacts. Rumors on social media may cause public panic and negative impact on individuals. So it is necessary to makes the automatic detection of rumors and blocking the user who continuously spreads rumor. This system detect rumor by learning user representation(User behaviour) by graph convolutional networks(GCN) and learning content semantics and propagation clues of rumored tweets. GCN efficiently capture node features and graph structure features in graph structure data and it helps to learn the user information. The proposed system uses user based features, content based features, propagation based features to detect rumors. The main objectives of this system is develop a social network without any fake news spreading. It taken twitter based social network to predict the fake news spreading system. In this system fake news detection is done by using Recurrent Neura Network and Graph Convolutional Network. This model experiments on two real-word datasets show that this method is more superior to the state-of-the-art on rumor detection.

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Graph Convolutional Networks(GCN), Rumor Detection, Recurrent Neural Network(RNN)

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Kankavli is a well known town located in District Sindhudurg, Maharashtra. It is an old town known widely as a market place for nearby agricultural places. Recently Kankavli has started developing into a city. The development has spread to nearby villages. Kankavli is better known as a potential market place rather than agricultural activities. Recently lots of developmental activities are being carried out by the government as well as by the private sector. These developmental activities have beneficial effects like employment generation, as well as harmful effects on this rapidly developing town. It can be developed into a beautiful city if developmental process is channelized in a proper manner, instead of costly transplantation, another suggestion is to adopt the Bihar model. Parida U.K (2017).

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 Keywords

Kankavli, Urbanization, Konkan, Development, Sindhudurg

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As of late, signal validation is trying in the IoT frameworks and the digital assault is hard to identify when it is associating with the cloud. Deep Learning is the technique which is used to recognize the digital assault in the IoT entryway. To beat this issue different calculation is utilized to guarantee the information is moved safely. An Autonomous vehicle comprises of different sensors. The information is caught persistently and put away in the cloud. There is a chance of an assault to happen, subsequently an IoT entryway is utilized to guarantee that unreliable information isn't transmitted. The fundamental idea is making sure about the information from IoT gadget to the cloud with calculations.

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Autonomous vehicle, sensors, Deep Learning, IoT.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

We are calculating the trends of the disease

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Kafka, Hadoop

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 Abstract

Bulk segregant analysis an approach to analyzing the F2 individuals of white seeded IC-203871 X brown seeded AKT-101 to screen and identify the markers linked to the seed coat colour trait in sesame. 2 DNA bulks viz., white and brown bulks was setup by pooling equal amount of DNA from 10 randomly selected plants generated from a segregating population from a single cross. A total of 35 (15 RAPD; 20 SSR) primers were screened out of which 2 primers were polymorphic between parents and F2 bulks were then used to screen 60 segregating F2 progeny. RPI-7 and Hs-1871 showed linkage with the brown seed coat colour in sesame. Out of 60 individuals of the progeny, the polymorphic band was seen in 26 (RAPD) and 14 (SSR) samples showing it linkage with the brown seed coat colour. The inheritance for seed coat colour genes was segregated in the ratio 9:3:4.

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 Keywords

Seed coat colour, bulk segregant analysis, RAPD, SSR, polymorphism

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