Volume 11 | Issue 5 |

 Abstract

We know that every field is being advanced and changing as per the technology. IoT is a revolutionary term in advancement of technology. Soldiers are important part of army, hence for their safety purpose IoT based device can be designed called as Smart Safety Jacket. In order to collect and detect various signals for organizations, it is possible to use wearable devices like smart jackets and other accessories. If the soldier is injured the fluctuations with the heartbeat and the pulse rate will be measured and will inform the military base station through Wi-Fi module and from GPS we can locate the wounded soldiers. te sensors which coordinates with regards to the human body. It can be used to measure and observe different Smart jacket, Peltier parameters.

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 Keywords

Smart jacket, Peltier Plates, GPS, IOT, Safety

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 Abstract

Retinal fundus images are a valuable source of information for ophthalmologists to diagnose retina problems. Early detection can improve chances of cure and also prevent blindness. Retinal problems like diabetic retinopathy can be diagnosed using retinal fundus images by medical experts. In recent times, machine learning research has focused on diagnosing diseases like diabetic retinopathy by extracting features and then classifying the image. In this research our goal is to automatically classify images with retinal problems from those of the healthy ones without performing any explicit segmentation or feature extraction. Rather, we use a deep learning model to automatically classify any retinal fundus image as healthy or diseased. The architecture of the network is both simple and fast. The model has been tested on datasets which was obtained from Friedrich-Alexander University machine learning data repository. The accuracy of this model has been found to be in the range 69% to 70.1%

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 Keywords

Retinal Diagnosis, CNN, Deep Learning, Machine Learning, Automated Diagnosis

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Due to the presence of microorganisms in the biofilm (dental plaque) on the surface of teeth, dental caries develops as a result of the localised disintegration of the hard tissues of teeth, which is primarily caused by acids. These "cavities" are known as dental caries. Commercially accessible liquid mouthwashes with artificial active components have drawbacks such discoloration of the teeth, a higher alcohol content, taste abnormalities, xerostomia, and stability problems. Using Azadirachta indica and Curcumin, which have antimicrobial, antibacterial, antiplaque, and anti-inflammatory activity, to create the oral hygiene solid preparation (US6428770B1) in the form of herbal effervescent mouthwash tablets (CN106619318A, US8728446B2). 33 factorial design was used to carry out the optimisation study for effervescent granules. The fusion technique was used to create a total of 27 early experimental batches with different amounts of citric acid, tartaric acid, and sodium bicarbonate. Curcumin and hydroxyl propyl -cyclodextrin were combined to create a complex, which was then further investigated using scanning electron microscopy. The pre- and post-compression parameters of the produced tablets were assessed. S. mutans was the target of an in vitro antibacterial investigation using the Agar well diffusion method. The pH, effervescent time, and CO2 concentration of each experimental batch of effervescent granules were assessed. Six additional batches were chosen to create the final tablet formulation. Excellent flow qualities and post-compression parameters were revealed by the pre-compression parameter results, which were also significant.

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Dental caries, oral hygiene, effervescent mouthwash tablet, antimicrobial study, Curcumin, Azadirachta indica.

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 Abstract

The primary focus of this study is to examine the retellings of Indian mythology, specifically the stories of Ramayana and the teachings of Gita, and how these narratives have evolved. Despite the rigid nature of mythological works, they have undergone numerous interpretations within different cultural contexts. Ramayana itself has been recounted in around 300 versions. While we have witnessed various tales and interpretations of the epic Ramayana, Devdutt Pattanaik's book stands out as it not only retells the story but also draws attention to the multitude of oral, visual, and written retellings composed by different poets in different times and places. Each poet has attempted to unravel the puzzle of the epic uniquely. Present-day authors have also endeavored to transform traditional mythology to address contemporary issues. Although the retellings may differ in appearance, the essence of the story remains unchanged. As long as faith and culture persist in society, there will continue to be a constant surge in mythological content. The researcher has undertaken a qualitative approach to study the various factors contributing to the ongoing demand for mythological tales in the present generation. These factors include social, political, cultural, and commercial aspects. Furthermore, the researcher has analyzed the content variations within the tales of Ramayana, with a particular focus on Devdutt Pattanaik's book, "Sita," which represents a modern-day exploration and revival of mythology and 'Gita' which focuses on the teachings of 'Gita' in a modern context.

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 Keywords

Myth, Mythology, Contemporary Literature, Retellings, Postmodern

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A novel human corona virus, severe acute respiratory syndrome corona virus 2 (SARS-CoV-2), was identified in China in December 2019. On January 30, 2020 the World Health Organization declared the outbreak of Public Health Emergency of International Concern due to increasing concerns over its fast spread. Vaccines represent the key weapon in fighting against COVID-19 for saving life's and ending this pandemic. Vaccines help human bodies to develop immunity againstCOVID-19. The vaccines that have been approved for emergency public use include COVAXIN, COVISHIELD, SPUTNIK-V. This vaccine provides the immunity against COVID19 by identifying it quickly and fight against it .It's common to experience some mild to moderate side effects when receiving vaccinations this is because your immune system instructs your body to react in certain ways. Some of the common side effects include pain, redness, swelling at the site of injection and tiredness, headache, muscle pain, chills, fever. Some of the rare symptoms like anaphylaxis, thrombosis with thrombocytopenia syndrome, Gillian Barre Syndrome, myocarditis and pericarditis. The aim of present study was Experimental survey on COVID-19vaccines by performing bleeding time and clotting time on vaccinated vs non vaccinated 300 volunteers (subjects).After observing the results we conclude that that the bleeding and clotting time values of vaccinated volunteers shows minimum range when compared to the non-vaccinated volunteers The two-tailed P value is less than 0.0001 by conventional criteria, this difference is considered to be extremely statistically significant. Finally the results showed that thrombosis is not a major adverse event for covid-19 vaccines.

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COVAXIN, COVISHIELD, volunteers, vaccines, bleeding time, clotting time, covid-19.

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India is gradually working toward the implementation of GST in order to eliminate the cascading effects of taxes and to provide a national marketplace for goods. According to the proposed tax reform, the State and Central Governments would each have a separate tax authority to levy taxes. on the supply of goods. This suggested rule is anticipated to contribute to enhancing tax collection and reducing leakage. This is so that the State and the Central Tax Administration can assess and monitor similar taxpayers. Before the "Goods and Services Tax" is implemented, there are several obstacles. They can be grouped under two general categories: GST administration and institution and GST design and the related structure. A broad agreement still needs to be reached regarding the design-related challenges, including the selection of neutral rates of revenue, harmonisation of the GST rate across states, harmonisation of the exempted list and excluded commodities, and threshold for the mandatory GST registration across states.

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Central and State Revenue, Businesses, GST, and VAT.

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 Abstract

Burnout has primarily been perceived as a workplace stress overload phenomenon, but with the passage of time and the modernisation wave at its peak presently, burnout has begun to manifest itself in the lives of the student population too. In the light of paucity of related literature within the Indian research pool, the present study was undertaken to examine the differences on the academic burnout levels among the undergraduate and postgraduate university students of Delhi NCR. The response form prepared using the Oldenburg Burnout Inventory-Student Version was circulated among the students both via online and offline mediums. A total sample of 150 students (75 undergraduates and 75 postgraduates) were drawn with the help of snowball sampling approach from various colleges of Delhi NCR. The data was analysed using Independent samples t test and the result findings indicated a statistically significant difference on the level of disengagement academic burnout dimension, whereas no significant difference was revealed on the level of exhaustion academic burnout dimension. The present findings pose pertinent implications for both public and private educational institutions toward the planning, management and prevention of burnout among their student population enrolled in various undergraduate and postgraduate programs.

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Academic Burnout, Disengagement, Exhaustion, University Students, Oldenburg burnout inventory-student version

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KEYWORDS: gestational diabetes, classification, prediction diagnosis, risk factor, pathophysiology, medical nutritional therapy, oral hypoglycemic agents

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A huge amount of images are continuously shared on Social Networks (SNs) daily and, in most cases, it is very difficult to establish the SN of the provenance of that image when it is recovered from a hard disk, an SD card or a Smartphone Memory. During an investigation it could be crucial to be able to distinguish images coming directly from a photo camera with respect to those downloaded from social network and possibly in this circumstance, determining which is the SN among a defined group. It is well known that each SN leaves peculiar traces on each content during the upload-download process; such traces can be exploited to make image classification. SN modulated noise residual can be adopted as a feature to detect the social network origin by means of a trained Convolutional Neural Network (CNN).

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 Keywords

Image classification, SVM, DCT, Machine Learning.

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This study aims to examine credit risk management practices in commercial banks in India and identify effective strategies and best practices for managing credit risk in the context of the Indian banking sector. The study's scope covers various aspects of credit risk management, including risk assessment, monitoring, mitigation, regulatory compliance, macroeconomic factors, financial inclusion, and customer satisfaction. The study also explores the impact of technological advancements and regulatory reforms on credit risk management practices. The study's findings can help commercial banks in India improve their credit risk management practices, promote financial inclusion, and build customer trust and loyalty. Ultimately, effective credit risk management practices can ensure the long-term stability and profitability of commercial banks, which is crucial for the overall growth and development of the Indian economy.

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 Keywords

Credit Risk Management, Non-Performing Assets, commercial banks, India, risk assessment, risk monitoring, risk mitigation

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