Volume 11 | Issue 5 |

 Abstract

The corona virus disease-19 (COVID -19) pandemic is a continuing global health crisis and the most difficult challenge we have faced in the most unusual ways. It has resulted in numerous fatalities and has had a significant impact on the global economy and financial markets. Vaccines are a new critical tool in the fight against this voracious beast. They have been released in a number of countries around the world. Although the vaccines' safety and efficacy have been discussed, we know very little about the post-vaccination experience outside of clinical trial settings. Adequate information about the vaccine' Adverse effects can educate the public, dispel myths, and increase vaccine acceptability.R1

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: Adverse effects, COVID-19, Covaxin vaccine clinical trial, Vaccine acceptability

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Cement concrete roads are mainly used in highways ,expressway, urban roads, airport this pavement in long run is cost effective, maintenance free ,save oil and revenue of the government due to its rigidity life is more

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PQC pavement concrete road

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Text-to-image synthesis has emerged as an intriguing research area with the potential to enhance various applications, including image captioning. This paper presents a comprehensive research study on text-to-image synthesis techniques and their impact on image captioning performance

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 Keywords

Text-to-Image Synthesis, Image Captioning, Generative Adversarial Networks (GANs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Fusion of Text and Images, Adversarial Loss ,Caption Generation, Visual Understanding, Semantic Alignment, Multimodal Data Processing, Contextual Integration, Image Generation, Natural Language Processing (NLP), Deep Learning, Coherence between Text and Images, Feature Extraction, Creative Content Generation, Evaluation Metrics (BLEU, METEOR,

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Urbanization is a global phenomenon characterized by the rapid growth of cities and the increasing concentration of populations in urban areas. This research paper aims to analyze the impacts of urbanization on physical and mental well-being. The paper reviews existing literature and research studies to examine the effects of urbanization on various aspects of health, including physical health outcomes such as chronic diseases, infectious diseases, and environmental health risks, as well as mental health outcomes such as stress, anxiety, and depression. The findings suggest that urbanization has both positive and negative impacts on health, depending on various contextual factors. Understanding these impacts is crucial for policymakers and urban planners to develop effective strategies to promote health and well-being in urban environments

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Urbanization is a global phenomenon characterized by the rapid growth of cities and the increasing concentration of populations in urban areas. This research paper aims to analyze the impacts of urbanization on physical and mental well-being. The paper reviews existing literature and research studies to examine the effects of urbanization on various aspects of health, including physical health outcomes such as chronic diseases, infectious diseases, and environmental health risks, as well as ment

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With the eruption of big data, practical recommendation schemes are now very important in various fields, including e-commerce, social networks, and a number of web-based services. Nowadays, there exist many personalized movie recommendation schemes utilizing publicly available movie datasets (e.g., MovieLens and Netflix), and returning improved performance metrics (e.g., Root-Mean-Square Error (RMSE)). However, two fundamental issues faced by movie recommendation systems are still neglected: first, scalability, and second, practical usage feedback and verification based on real implementation. In particular, Collaborative Filtering (CF) is one of the major prevailing techniques for implementing recommendation systems. However, traditional CF schemes suffer from a time complexity problem, which makes them bad candidates for real-world recommendation systems. In this paper, we address these two issues. Firstly, a simple but high-efficient recommendation algorithm is proposed, which exploits users' profile attributes to partition them into several clusters.

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machine learning, collaborative filtering, content-based filtering, matrix factorization, deep learning, NLP, feature extraction, user preferences

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Optical Music Recognition (OMR) is a field of research that focuses on the automatic extraction of musical information from sheet music images. This paper presents a novel approach to OMR utilizing machine learning techniques and Convolutional Neural Network (CNN) algorithms. The proposed system aims to accurately transcribe musical symbols from sheet music images into a digital format. The effectiveness of the proposed method is demonstrated through comprehensive experiments, and the results show promising improvements compared to existing OMR systems. This research contributes to the advancement of OMR technology, enabling efficient and accurate digitization of sheet music.

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Optical Music Recognition, Machine Learning, Convolutional Neural Network, Sheet Music, Symbol Transcription, Image Processing, Music Scores.

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The paper intends the views, ideas, and actions of M.K. Gandhi in the process of unification of India during the struggle period and at the time of Indian independence. Further, it looks at his contribution to the integration of princely states in the Indian Union. Mainly, it traces the various stages of the evaluation of Gandhi's view towards princely India such as political, cultural, geographical, social, and historical perspectives. Gandhi criticized the relations between British India and Indian India. However, it tries to analyse the role of Gandhian philosophy as princely nationalist activities or tools and as a counterweight against British rule and native autocracy. It attempts to examine and explains the origins and the growth of Gandhian influence on the all-India princely states' political activities and movements. Besides the relationship of the Gandhian followers of British India and Indian India is also dealt with. Gandhi's non-interference and the obstructionist policy have been critically examined. He looked towards the princely states' problem as internal or indigenous; it was not major like colonial rule so the Indian National Congress (hereafter INC) should not interfere in that matter. Gandhi has expressed his opinion on the non-interference attitude during the freedom struggle of India and post-independence is a prominent place of this article. Apart from this, he has articulated different views to the national leaders and Indian India regarding events and situations of princely politics. The Gandhian thoughts and activities were landmarks in the movement of states for the responsible government in princely states and the unification of India.

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Gandhi, Princely States, Indian India, British Provinces, Unification

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In the cosmetics and pharmaceutical industry surfactants have played a very important role since their discovery. They've been used in preparations such as shampoo, detergents, face washes and many more formulations make use of these surfactants. But they are also produced from non-renewable sources of energy such as petroleum which causes not only the exhaustion of these natural resources but also their byproducts are toxic to the humans and to the nature as well as their biodegradability is very low. They have a low production cost and can be produced on a large scale. Traditionally used foaming agents in ayurveda have been there for thousands of years along with other natural agents that can create foam are looked at as alternatives to reduce the harmful effects of chemical surfactants. Biosurfactants are the agents which are produced by microbes and other biological sources which are also excellent foaming agents which can be great alternatives for synthetic petroleum-based surfactants. This review article herein discusses such few green foaming agents which are completely natural in origin and can be used as an alternative for chemical surfactants and lead the prospects of our formulations in the future.

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Herbal shampoo, Natural foaming agent, pH modifier, viscosity modifier, antibacterial agents

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Birth weight is the single most important factor determining the survival chances of the newborn. Many of the newborn die during their first year of life. In India over 30 percentages of the infants are born with low birth weight. Nearly 75% of the neonatal deaths and 50% of infant's death occurs among low birth weight baby. Demographic variables were analyzed by using descriptive statistics like mean, standard deviation were analyzed by using inferential statistics like chi-square, paired 't' test. The result showed that the effectiveness of selected nursing measures of neonates with low birth weight babies was among 30 neonates on initial assessment day was in mild health deterioration 16(53.3%) and severe health deterioration fourteen(46.7%) and 26(86.7%) had normal health condition and four (13.3%) at mild health deterioration on the final evaluation day. The significant result was P<0.05. This shows the net benefit of this study. Selected Nursing measures was effective for the low birth weight babies and thus reduces the risk for severity condition of babies and improve the health status of babies.

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H: Hypothesis, DF: Degree of freedom

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India's digital programme is a government initiative with the main goal of transforming India into a knowledge economy and a digital society. There are several digital payment options available as part of the effort to promote cashless transactions and make India a country with less cash. Demonetization had changed the nation's economic structure. The last decade has seen tremendous growth in use of internet and mobile phone in India. Increasing use of internet, mobile penetration and government initiative such as Digital India are acting as catalyst which leads to exponential growth in use of digital payment. Electronics Consumer transaction made at point of sale (POS) for services and products either through internet banking or mobile banking using smart phone or card payment are called as digital payment. The consumer perception of digital payment has a significant and positive impact on adoption of digital payment. The structured questionnaire was used as research tool for understanding consumer perception of digital payment. Data was analysed with the help of descriptive statics, t-test and ANOVA. The findings of the study revealed that, there is a significant difference between age and perception of consumers on digital payment Systems, and it also proved that, there is no significant difference between gender, educational qualification and perception of consumers on digital payment systems.

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 Keywords

Cashless Transactions, Consumer Perception, Digital Payment, Digital Wallets, Transactions Speed, Security System, Social Influence

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