Volume 11 | Issue 5

 Abstract

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

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Propolis, Carbopol-934, Poloxamer-407, Antimicrobial activity, Antioxidant activity.

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- The study was conducted to explore the situation of solid waste disposal in Uttar Pradesh. As it is visible to us that nowadays pollution has increased in an unmanageable order which leads to change in climate and ecosystem which affects all the living organisms. There are various sources of solid waste production in Uttar Pradesh like Information Technology factories, hospitals, household, various industries etc. Most of the municipal solid wastes are rich resource in terms of recycling or reusing as per the findings and analysis of the obtained data. There are various methods which are universally accepted for disposing solid waste like composting, Burning etc. In this study author have discussed major methods of solid waste disposal which are in practice in Uttar Pradesh.

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Overview , Solid Waste , Waste Disposal , methods , Types of Waste etc.

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John Stuart Mill coined the term 'dystopia' in the middle of the eighteenth century. The term was first mentioned in his speech to the House of Commons in 1868. Dystopia, being the opposite of utopia or an ideal land, depicts a world full of chaos and destruction. It was in the twentieth century that this genre started to gain prominence. While many writers followed the pattern of creating an ideal land, with an organized structure and a civilized society, writers who engaged in dystopian genre set on to portray the world amidst chaos and destruction as opposed to an unrealistic utopian society. The characters in dystopian fiction fight against environmental destruction, totalitarianism, technological control and so forth. Aldous Huxley's Brave New World, George Orwell's 1984 and Margaret Atwood's The Handmaid's Tale are some of the dystopian works that gained wide popularity. They focus on a world ahead in time where technology and totalitarianism hold the society in its clutches. As it emphasises on an imaginary future, it depictes a world where women are made sex-slaves in order to fulfil the needs of infertile families, a world that is run by technology where it controls the human emotions, and a world that is governed by the surveillance system that puts a halt to people's personal lives. Lately, Indian writers have turned to this genre and Leila, being one of the most influential Indian dystopias by Prayaag Akbar has reflected the same. However, unlike mainstream dystopian novels that offer a vision of an imaginary future, portraying what could possibly go wrong, Akbar's Leila echoes the present reality of the country wherein the caste system plays a crucial role. It reflects upon the current problems faced by the society in terms of social segregation and lays emphasis on the issues prevalent in the society such as honor killings, atrocities based on caste and so forth. Akbar's Leila can thus be called a 'living dystopia' which takes place in a real world and reflects upon the actual society that is slowly undergoing chaos or destruction, unlike the usual dystopia which is purely fictional and warns the real world. The caste system poses a threat to humanity. A large section of society enjoys the privilege offered by the government, while some people are exploited in the name of caste. Therefore, for such people caste can be dystopic. In this paper, the researcher attempts to delve into the aspect of caste in Leila by analysing the segregation that the society undergoes in the novel. This shall be done along with a parallel comparison with other dystopian novels like Brave New World, 1984 and The Handmaid's Tale. It will also focus on the issues prevalent in India such as atrocities based on the basis of caste and honor killings.

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Dystopia, Dystopian fiction, caste system

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This paper focuses critically on Haruki Murakami's notion of music and memory as central to his fictional narratives. Referring to his much discussed novel Kafka on the Shore, it counts on how he uses music as a vehicle to connect the characters to their past. Firstly, it discusses how music is used as a tool to answer and create questions about the past. It includes a discussion on how typically Murakami blends classical music along with jazz, folk and pop songs to bridge the gap between the present and past of the characters. It also acts as a powerful force for soul-searching. Then, it examines the importance of music in reviving the memories of the major characters in order to form a different perspective and redefine things around the characters along with the being of their existence. Finally, it reflects on how the novelist depicts the characters who are touched by the subtle elements of music from unusual pairing of chords to evocate lyrics with handling of imperfections in performance; sees music as a kind of channel to revelation; helps to preserve and recreate intense emotions from the past; and is treated as an opportunity to better understand the deepest inner workings of the characters.

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music, jazz, folk and pop song, memory, performance, revelation, intense emtions

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A 25 year female came with complain of generalised body ache and anaemic symptoms, while treating the symptoms, there was no evidence of any specific disease which can be correlated with the symptoms and the routine biochemical investigation, with some physical examination and the type of skin lesion studied, we gave the reports of WEIL FLIX TEST and it showed positive.

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SPOTTED FEVER, WEIL FLIX TEST, TICK BORNE FEVER

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Fake product identification is a growing concern in today's global market. The use of blockchain technology can help address this issue by providing a secure and transparent way to track the provenance of products. This paper proposes a system for fake product identification using blockchain, which involves assigning a unique identifier to each product at the time of manufacture and storing its transaction history on the blockchain. By leveraging the decentralized nature of blockchain, this system ensures the authenticity and integrity of product information, making it virtually impossible to tamper with. This paper also discusses the benefits and challenges of implementing such a system and highlights the potential impact it could have on supply chain management and consumer trust. Overall, this paper provides insights into the potential of blockchain technology to tackle the issue of fake products in a secure and efficient manner. Moreover, blockchain-based solutions for fake product identification enable stakeholders to trace the source of counterfeit products. The technology allows them to follow the product's journey from the manufacturing facility to the point of sale, identifying where the counterfeit entered the supply chain. This enables them to take appropriate measures to prevent further counterfeiting and safeguard their brand reputation. In conclusion, blockchain-based solutions for fake product identification offer a secure and transparent way to combat counterfeiting and protect consumers from potentially harmful products. By creating an immutable record of a product's journey through the supply chain, blockchain technology can enable manufacturers, retailers, and consumers to verify the authenticity of products and prevent counterfeiting.

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Fake product, Blockchain, Decentralized

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Yoga is a popular practice that involves various body postures and breathing exercises to improve physical and mental health. In this project, we have developed a system that detects yoga poses in real-time using a webcam and machine learning algorithms. The system uses a total of eight yoga poses including Bhadrasan, Shavasan, Gomukhasan, Vajrasan, Sarvangasan, Shirsansan, Chakrasan, and Dhanurasan. The system works by first collecting a dataset of yoga poses with corresponding virtual coordinates for each pose. We manually annotated the poses with 501 virtual coordinates on the body and face of the yoga practitioner. The dataset was preprocessed by normalizing the coordinates and splitting them into training and testing sets. We used OpenCV and MediaPipe libraries to extract features from the virtual coordinates for each pose. Once the model was trained and validated, we used OpenCV and MediaPipe libraries to capture live video feed from the webcam and extract virtual coordinates from the video frames. The extracted coordinates were then passed through the trained model to predict the corresponding yoga pose. The system displays the name and accuracy of the predicted pose on the screen in real-time. In addition to pose detection, we implemented a user registration and login system using the tkinter library and an SQLite database. This system allowed users to register their information, which was stored in the database for future logins. The login system ensured secure access to the real-time pose detection system. The proposed system achieved an average accuracy of 95% in detecting the eight yoga poses in real-time. The system can be used by yoga practitioners to monitor and improve their practice, as well as by instructors to monitor their students and provide personalized feedback. Future work includes expanding the dataset to include more yoga poses and incorporating feedback mechanisms to improve the accuracy of the system.

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 Keywords

Deep Learning, Yoga Steps, Logistic Regression, Computer Vision.

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India, Being the world's fastest-growing economy, India holds immense potential to attract global customers and adapt to new technologies and changes, possesses tremendous potential to attract global customers and embrace new technologies and advancements. The process of digitalization holds immense capabilities, fostering improved connectivity across nearly every sector of the Indian economy. However, the distribution of these approaches can sometimes be uneven among certain government sectors. Embracing the latest technological advancements can bring about significant value and catalyze a drastic transformation in the mode of operations and work for a large segment of the population. One technology that stands out in this regard is blockchain. Blockchain is being globally adopted due to its decentralized approach, secure nature, immutability, and tamper-proof characteristics. In contrast, the management of funds in India remains a contentious issue, with substantial amounts of money allocated to various schemes in the public interest. Yet, due to a lack of transparency, blockchain can serve as a solution to bridge this gap and provide a fully secure and immutable environment for tracking funds.

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Blockchain, HyperLedger, IPFS, Blockchain applications

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Herbal medicine was prepare from various part of plant like flower, leaves, seeds, root etc. For the medicinal use the herbal salve apply externally on human body. This study aimed at formulating and preparing a herbal salve from Lavandula angustifolia, Matricaria chamomilla L. and Aloe barbadensis establishing the quality, healing efficacy of the prepared herbal ointment. The present work is to formulate and evaluate the herbal salve for its antibacterial, anti-inflammatory, antifungal, carminative (smooth muscle relaxing), sedative, antidepressive and effective for burns and insect bites.The formulations were evaluated for their physicochemical parameters like colour, odour, spreadability,consistency, washability. Also the formulation was evaluated for its stability at various temperature conditions which shows no change in the irritancy, spreadability.

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Herbal salve, lavender essential oil, Olive oil, Matricaria chamomilla L. , Aloe barbadensis.

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To predict the weather of a particular place at a specific time is known as Weather Forecasting. It is an application of science and technology. Weather forecast is more helpful for people as it predicts the possibilities of changes in weather conditions. The weather forecast can be done in many ways, collecting data and analysing it, image processing, by using methodologies like Normalization, Clustering, and cloud mask algorithms, etc. This paper is based on the process of Weather Forecasting. This system will be using Machine learning algorithms like Support Vector Machine(SVM), Time series based recurrent neural network, Random Forest, Naive Bayes, Artificial Neural Network, and Decision Tree. This system will accept data on current weather conditions such as current temperature, wind conditions, and humidity. It will predict the weather conditions of a certain location on a given day and time. This system will be useful in Air Traffic, Marine, Agriculture, Forestry, Military, and Navy, etc.

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: Weather Forecasting, Weather prediction, machine learning, SVM, ANN, Naive Bayes.

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It is more acceptable to believe that natural remedies are safer with synthetic subjects than with fewer side effects. The global market demand is increasing due to the fusion of herbs. Current work Herbal anti-acne is the development and evaluation of flammable extracts with facial spray containing leaf extract of Tulsi (Ocimum Sanctum),Hydroalcoholic extract of turmeric (curcuma longa), Although there are some specific local herbal formulas available on the market, we propose to make pure herbal formulations without using any artificial ingredient. The plants have been reported in the literature with microorganisms, anti oxidants and anti-inflammatory activity. Ayurvedic face wash was prepared from the extract of various ingredients such as Neem leaves, Turmeric rhizomes, Nutmeg seed, Liquorice root, Honey, Orange tincture, Lemon juice, Xanthan gum, Orange peel extract, Rosewater, Propyl paraben, Methyl paraben, Sodium laury sulfate. The prepared face wash was evaluated for various Physical parameters such as Washability, Colour, pH, Viscosity, Spreadability and Irritancy test.

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Keywords:- face wash, Turmaric, Rose water. Spreadabilitylity, Irritancy test

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In this article, we demonstrate how deep learning was used to implement handwritten character recognition in Marathi. Because of its significant contribution to automation systems, handwritten character recognition is becoming more important. One of the several language scripts used in India is the Devanagari script. There are 12 vowels and 36 consonants in it. Here, we used a deep learning model to implement character recognition. Pre-processing, segmentation, feature extraction, prediction, and post-processing are the five main phases in character recognition. To train the model and employ character recognition and anticipate the accuracy of recognition, the model will make use of convolutional neural networks and image processing techniques.

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Pre-processing, Segmentation, Classification, Convolutional Neural Network, Deep Learning, Devanagari Character Recognition.

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Introduction: Putting one step towards to extend the family is the crucial stage of life to become a parent. When a couple is seen and counselled about pregnancy, its course and outcome well before the time of actual conception is called periconceptional counselling. Aim of the study: The aim of the study was to identify the effect of structured teaching program on knowledge regarding Preconception care among the eligible women in selected villages. Objectives: 1) To assess the pre-test level of knowledge regarding preconception care among the eligible women in selected village of south Gujarat. 2)To assess the effectiveness of structured teaching programmed on knowledge level regarding preconception care among the eligible women. 3) To find out the association between pre-test score of knowledge regarding preconception care among the eligible women in villages of South Gujarat with their selected socio demographic variable. Method: Quantitative Research Approach design is sub-division of pre-experimental research design. With one group pre-test post-test research design was adopted for this study. A total of 100 eligible women who were selected by Purposive sampling technique. Data was collected by using structured teaching program consisting of socio demographic variables and self-structured questionaries. Results: The overall mean percentage of knowledge in the pre-test was 10.41 with standard deviation 2.01. The overall mean percentage of knowledge in the post-test was 15.54 with standard deviation 1.7 with a positive mean difference 5.13. there is significant association between pre-test knowledge score of eligible women and selected socio demographic variables is accepted for age of the mother and education. Interpretation and conclusion: Results shows that post-test knowledge score is significantly higher than the pre-test score at p <0.05 level of significance i.e., mean difference is 5.13. There is significant improvement in knowledge of eligible women regarding pre- conception care.

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STP, DF

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The goal of the current analysis is to examine how children in the Cuddalore District of Tamil Nadu perceive about the environment. 286 samples from the research area were taken using the random sampling technique. Use of the normative survey method was made. The goal of this study is to ascertain the levels of environment attitudes among school pupils and determine whether there are any notable differences between the sub-samples and predictors that have been chosen. This study makes use of the Environmental Attitude Scale that researchers Dr. D. Ponmozhi and G. Ranjitha developed and validated in 2023. The five dimensions of environmental attitude are covered by the 40 statements that make up this scale: Garden Management, Air & Soil Pollution, Water Recycling, Environmental Awareness, and Sources of Energy & Ecofriendly Products. With the aid of chronph alpha, the scale's reliability and validity were determined. The reliability of the scale was 0.876, and the validity of the scale was 0.93.With the use of SPSSIBM23, descriptive, inferential, correlational, and regression analysis were performed. Students at the school show poor attitudes towards the environment. Two steps and the removal of 10 variables later, the prediction model was established, which comprised two of the twelve predictors. The model explained almost 7% of the variance in environmental attitude (R2=0.075 Adjusted R2=0.068) and was statistically significant (F(2, 283) = 11.397, p .001). Gender and age are the main predictors of environmental attitude. Therefore, the gender and age of schoolchildren were rather reliable indicators of their environmental attitudes.

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Environmental attitudes, School children

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Agriculture plays a critical role in the economic development of any country, and in India, a significant portion of the population relies on it. Crop diseases pose a major challenge, as they can have detrimental effects on plant health and agricultural productivity. This paper presents an AI-based system for automated detection and classification of plant leaf diseases. The proposed system aims to assist farmers in quickly identifying diseases and implementing appropriate measures. The methodology involves image collection, preprocessing, segmentation, and classification using artificial intelligence techniques. By enhancing disease detection and management, this system aims to improve crop productivity in the field of agriculture.

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plant disease detection,deep learning algorithm, cnn,svm,image processing,classification,prediction.

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