Volume 10 | Issue 4 |

 Abstract

The Pandemic has been harsh to most of us, and among the people who have seen the worst of it, were the daily wage workers who not only have to protect themselves from the Virus but are also struggling to save their jobs. Unfortunately, despite of all the struggles and hard work many of the workers have lost their jobs. We want to provide a solution that could make a small difference in their lives that could make it easier to find a job. This idea would not be useful to only the workers, but also the common people like us who need their assist. This article addresses the idea that can be implemented to provide a web platform for the daily wage workers to find a job that could be either temporary or permanent based on the preference of the employee and the employer. The technologies/ tools that we are utilizing in the implementation of the system includes: ReactJS, NodeJS and MySQL. This website will reduce the problem of the workers to go in search of a job in the crowds which could increase the risk of coming in contact with the virus. They can find a job sitting at their homes without abiding the covid-19 protocols.

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 Keywords

Pandemic, Daily wage worker, Jobs.

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Creative Commons Attribution 4.0 and The Open Definition

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Over time, digital payments have altered our lives. In India, digital payments became more prevalent after demonetization, and the trend of digital payments has exploded since then. The Digital India programme is the government of India's flagship initiative, with the goal of transforming India into a digitally empowered society and knowledge economy. One of Digital India's stated goals is to be "faceless, paperless, and cashless." There has been a surge in digital payments since the introduction of the "Digital India" programme. Digital payments have improved in terms of technology and security over time, with the goal of reducing cybercrime. Digital payments have surged tenfold, according to the Money Control Record. This study aims to collect people's thoughts on digital payments and determine whether they believe digital payments are the way of the future in India. The inquiry will also look into the platforms' cyber security to guarantee that consumers' privacy is protected.

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Digital Payment, Covid-19, Cyber security

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Abstract The research paper is focused on the different amenities such as market services, water supply and housing facilities. The study also highlights the problems related to the solid waste, sanitation and illegal human dwelling in and surrounding of Rishikesh town. The natural hazards vulnerability also analyzed on the basis of people perception. The futures threatening due to social and environmental issues are addressed through this article.

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Key words: Tourism, future perspective, analysis of services

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 Abstract

Bath bomb is a compacted combination of moist and dry elements molded into any numerous shapes after which dried. Primary elements of tub tea bombs are a weak acid and a bicarbonate base. These are unreactive while dried however react vigorously while dissolve in water to supply effervescence which facilitates in detoxing of pores and skin and easy out dryness and experience refreshed. Material and Methods: Hot macerated coconut oil containing Neem, Amla, Guduchi, Vetiver, Aloevera are delivered to the combination of citric acid, sodium bicarbonate, corn starch and Epsom salt. This is blended and are molded and saved at room temperature. When delivered to water, CO2 is developed and effervescence is produce .The assessment is executed on components via way of means of converting the attention of elements Results: Herbal tubtub bomb that are able to generating a chilled tubtub became organized and evaluated successfully.

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BATHBOMB

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Information and Communication Technology, Education, Implementation

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Creative Commons Attribution 4.0 and The Open Definition

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Building a solution for biometric authentication, such as the one available on some smartphones, that can determine whether the fingerprint applied is real or artificially moulded. Fake fingerprint detection refers to recognizing a fingerprint image created by using a fake fingerprint. These situations are causing the most reliable biometric technology which is fingerprint recognition vulnerable. The main objective of this project about fingerprint spoofing which encompasses misuse caused by the attackers. Fingerprint spoofing detection is attributed to the investigation of the finger characteristics to ensure whether the finger is spoofed. The primary objective of this problem statement is to determine if the fingerprint applied as part of biometric authentication is real or artificially molded. This paper aims to achieve the detection of fake fingerprints using CNN (Convolution Neural Networks) algorithm as the classifier, to classify and map the features of the fingerprints accordingly

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 Keywords

CNN algorithm, LivDet, Feature mapping , Anti spoofing , Machine Learning

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract Introduction: Blended learning is simply the integration of technology into the curriculum. Whether students are utilizing digital media to gather information or computers to complete assignments, the actual combination of technology and the curriculum is the hallmark of blended learning. Blended learning is an approach to education that combines online educational materials and opportunities for interaction online with traditional place-based classroom methods. Title: Effect of Blended learning on knowledge regarding Seizure disorder among Undergraduate Nursing Students. Objectives: To assess the knowledge regarding Seizure before and after Blended learning among Undergraduate Nursing Students. Methodology: Quantitative Approach with Quasi experimental two group pre-test post-test design was used & samples were third year B.Sc nursing students selected through non-probability convenience sampling. Data was collected through structured questionnaire to assess knowledge, 5 scale Likert scale was used to assess feedback. Pilot study followed by actual data collection was done & analyzed using descriptive & inferential statistics. Result: In this present study it was found that in experimental group 62.5% of the Undergraduate nursing students in pre test and 7.5% in post test had poor level of knowledge score, 37.5% of undergraduate nursing students in pre test and 12.5% in post test had average level of knowledge score and 80% of undergraduate nursing students in post test had good level of knowledge score. In control group 47.5% of the undergraduate nursing students in pre test and 10% in post test had poor level of knowledge score and 52.5% of undergraduate nursing students in pre test and 85% in post test had average level of knowledge score, and 0% students had good level of knowledge . Reliability analysis was done By using Parallel form method of reliability, it is found to be 0.9 and hence tool is reliable and valid. Discussion: Findings revealed that blended learning is effective in improving knowledge regarding seizure disorder. Key words: Blended learning, Knowledge, Undergraduate nursing students, Seizure Disorder

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blended learning, Knowledge, Undergraduate nursing students, Seizure Disorder

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Flexible antenna, Monopole Antenna, Wearable Electronics.

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Creative Commons Attribution 4.0 and The Open Definition

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BHUMANDALIKARAN OR 'NEW YUG ME SHATRU'

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BHUMANDALIKARAN OR 'NEW YUG ME SHATRU'

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Present study has been carried out to determine the surface water discharge volume for entire India using the fundamental water budget equation. Population growth and economic development have impacted the capacity of water resources to meet demands in a number of arid countries. As far as India is concerned, irregular rainfall, high rate of population growth and unscientific/non sustainable agricultural practices are resulting in a dramatic depletion of groundwater resources. The components of the water budget are obtained from documented information and remote sensing data, using Gravity Recovery and Climate Experiment (GRACE) satellites to estimate changes in terrestrial water storage (TWS) and GIOVANNI (Geospatial Interactive Online Visualization and analysis Infrastructure) visualization interface, MODIS (Moderate resolution Imaging Spectroradiometer) satellite data to obtain precipitation (PPT) and evapotranspiration (ET) respectively. All thematic maps that influence water budgeting were processed and statistically analysed in QGIS. This study was conducted for the year 2021 and divided into pre and post monsoon season. The result shows major variations in the approximate seasonal discharge (in BCM) for both the seasons. Thus, the above analysis clearly demonstrated the capabilities of Remote Sensing and GIS technique in calculating the seasonal water budgeting. Recommendations for further research of the terrestrial water monitoring based on GRACE data are also suggested.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Water Budget, GRACE, GIOVANNI, MODIS, QGIS, Imaging Spectroradiometer, Evapotranspiration

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Creative Commons Attribution 4.0 and The Open Definition