Volume 11 | Issue 1

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Emotional Intelligence, student, people, stress,College

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Big data has played a significant influence in practically every domain. Big data in healthcare also covers the collection of patient and clinical records. It is very large or challenging to comprehend using conventional data processing methods. Large data management has a number of challenges for improved service quality, the most important of which are big data privacy and security. The interchange of personal health information by the healthcare enterprise is a key barrier to system interoperability and patient access to medical records. The decentralized nature and security of blockchain technology provide big data services a great chance to grow. Systems built on the block chain have the potential to reduce or eliminate the costs and friction associated with present middlemen. Block chain technologies offer numerous prospects for health care, but they must grow further. It is explored how to handle and share individual patient records with other institutional data. There is an introduction to block chain and big data, as well as information on the drivers pushing their integration and a study of blockchain services for big data in the health industry. Various broad topics have described how blockchain technology has aided healthcare systems. This provides a clear depiction of the issues that may arise while combining blockchain with healthcare big data.

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Block chain, Big data, Health care, IoT, Security, Privacy

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Haryana State is largely agriculture based state; most of its population live in villages. The rural Haryana combined with strong patriarchal leanings make the status of women in rural Haryana precarious. Rural women in Haryana, as in other parts of India, suffer from variety of disadvantages. Foremost among them is lack of education among women. Another is its skewed sex ratio. The number of women per one thousand men in Haryana is among the lowest in India. Hence we need to empower women in rural Haryana. This can be done in a variety of ways, like, through spread of education and awareness about rights, changing the patriarchal mindset/system. Concerted efforts are being made in that direction by the government and other agencies to uplift and educate the rural women. Similarly, the 73 rd Constitution Amendment Act created the institutions of village panchayats and local bodies, and gave one-third reservation to women. How far the institution of panchayats in Haryana has changed their status or empowered them, is a matter of debate. Similarly, the issue of spreading education for women in villages is also debatable. Along with this the patriarchal system, and deep prejudices against women in the rural set-up, recently reflected in the form of assertive Khap panchayats, also need to be examined and analysed. The scope of the instant paper is to critically analyse all these and related issues.

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Haryana, rural women, patriarchal, sex ratio, literacy rate, khaps, panchayats

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Collection is the Wealth of library. library collection development is the process of planning and acquiring a balanced collection of library materials of many formats, including books, periodicals, CDs- DVDs, online resources and other media. electronic technologies and collection development are two of the top concerns in library and information science today. the papar highlights on the collection development of resources of selected Four Engineering colleges affiliated to KBCNMU, Jalgaon, (Maharashtra). the survey will covered all aspects of library collection development like, Books (Printed/Electronic), Journal Collection(Printed/Electronic),E-Collection, monographs, rare books, bound volumes, manuscripts etc. the descriptive survey method is adopted for the study. the main purpose of the study is to know the collection development resources in selected college libraries.

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Collection Development, Engineering College Library, library collection development

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Biscuits and cookies are popular across all age groups that comprises three basic ingredients: flour, sugar, and fat, which are combined with additional minor ingredients to produce dough. Wheat flour has a high starch level but a low fibre and mineral content, resulting in biscuits with a lower protein and mineral content. Oats (Avena sativa) is a wonderful source of carbohydrate and protein with a favorable amino acid balance. Oats have a significant amount of lipids, particularly unsaturated fatty acids, minerals, vitamins, and phytochemicals. Oats have several health benefits, including hypercholesterolemia and anticancer properties. Chickpea is also a good source of protein, carbohydrate, minerals and vitamins, and dietary fibre and its consumption has been associated with a lower risk of numerous chronic diseases like cardiovascular disease, obesity, cancer, and diabetes. Aim-To develop a healthy substitute for regular Maida-based biscuits by utilizing oats flour and chickpea hummus as a core component in the form of biscuits (Humm Biscuits) making i t a healthy snack option. Methods-Oats flour and chickpea hummus dough was prepared along with the addition of sesame seeds, oil, and spices in the mixture. The dough was rolled to give the shape of biscuits and then baked. Once the product was developed it was assessed through sensory evaluation by using a scorecard. Results and Discussion- The biscuits were crispy, had a nice greenish-brown colour and taste was similar to commercial 50-50 biscuits. Conclusion-The product is a good substitute for Regular Maida-based biscuits. Hummus biscuits are nutrient dense and can be consumed by all age groups as a healthy snack option. Along with being good protein and fibre source, it is also gluten-free.

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Biscuits, chickpea, hummus, oat flour, protein, health benefits

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The aim of the present investigation is to study the physical and psychosocial environment as perceived by the private lifeguard belonging to nearest area of Puri beach. Accordingly, a group of 100 lifeguards (50 between the ages 26-35 years and 50 between the ages 36-45 years) were selected as sample in this investigation. A General Information Schedule and Perceived Physical and Psychosocial Environment Questionnaire were used as tools. Both qualitative and quantitative analyses were done. The findings revealed that overall physical environment as perceived by them is moderate. According to them sewerage and drainage system and also medical facilities is not good at all. On the contrary, psychosocial environment as expressed by them is good. They opined that they have good relationship with neighbours and co-workers. Their family environment as perceived by them is more or less congenial. The significant expression indicates that their perception about the sea is very strong and they consider sea and also sea-beach as land as well as their life. To maintain congenial physical and psychosocial environment adequate measures may be taken mainly for proper sewerage and drainage system and also better medical facilities.

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Computer vision based food recognition is a technology that uses machine learning algorithms to identify and classify different types of food in digital images or videos. This technology has a wide range of applications, including dietary analysis and tracking, nutrition labelling, and food safety. One of the key benefits of food recognition is the ability to automatically extract nutritional information from food images. This can be particularly useful for individuals who are trying to maintain a healthy diet, as it allows them to easily track their daily caloric intake and ensure that they are getting the necessary nutrients. There are several different approaches to food recognition, including using machine learning algorithms to analyse images of food, using pattern recognition techniques to identify specific features of different types of food, and using deep learning techniques to classify images based on their visual characteristics. Overall, computer vision based food recognition has the potential to revolutionize the way we think about food and nutrition, and could have a significant impact on public health.

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Convolutional Neural Network, Deep Learning, IoU, Machine Learning, R-CNN

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Lat, Architecture, Mosque, Hissar-i-Firuza.

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This article ia an attempt of analysis of the state present condition in infrastructure development and governments endeavour for infrastructure development in the state. This article focused on various aspects of Energy, Transport and Communication. Infrastructure is an accelerator of the economic growth as it impacts industrialization, connectivity and thereby improves quality of life. Maharashtra is rich in infrastructure development that empowers the state with a large capacity to develop economy of the state.

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iNFRASTRUCTURE

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People of all ages can benefit from the physical and mental health benefits of yoga. Yoga poses must be performed correctly especially, without an instructor to avoid any harm to the bones, muscles, and ligaments. Thus, the usage of Artificial Intelligence and machine learning with the help of image processing will help to give feedback to the performer even without a live instructor. The proposed system is intended to instruct users to perform the yoga pose correctly. The feedback is given to the user in form of text and audio which can help the practitioner to prevent injuries and also increase the benefits of performing the yoga pose. The data set of different Yoga poses is created by taking various images from the internet. With the help of OpenCV and media pipes, the data points are figured out from each image from the webcam. This is now loaded into a Convolution neural network-based deep learning model (CNN) which helps to identify errors in the pose and produce the error percentage and gives the user the required feedback in form of text or audio desired output whose classification accuracy is about 95%.

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Real-time pose identification, Yoga, Activity recognition, Media pipes, and Human pose estimate.

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Health and wellness pursuits are being perceived as integral to the preservation and promotion of health. Wellness refers to self-responsibility and a holistic, preventive and positive approach to health. It refers to a state characterized by a balanced state of mind, body and spirit that contributes to happiness. Wellness promotion is directed not only at those who are sick, but is marketed to individuals who want to enhance their physical, mental and emotional wellbeing. Wellness culture is supported by consumption of various lifestyle products and behaviours. In recent years, wellness has evolved into a global multi-trillion dollar industry. The paper examines wellness from the perspective of consumption and investigates into its sociological ramifications. Attempt has been made in the paper to situate the growth of wellness culture in the societal changes that accompanied modernity. Lifestyle modifications entailed in wellness pursuits have crucial social, political and economic ramifications. As traditional identities weaken and the stronghold of religion loosens, lifestyle choices serve to create identities and the pursuit of health acquires moralistic overtures. The surge in wellness activities is embedded in modernity and its aftermath. It therefore warrants a sociological study to understand the causes and consequences of health enhancing pursuits.

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Wellness, lifestyle, consumption, body, personal responsibility, virtue

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Keywords: - Quality of life (QOL), family, old age home, elderly,

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Nathdwara; Land use land cover; Landsat; Q-GIS; Supervised classification; Urban Expansion

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An audio programming language Specialized language intended production of computer music . Unlike general-purpose programming languages audio programming languages have a notion of timing i.e. they are made to follow beats and pace by nature music programming languages follow data flow paradigm making audio programming languages advanced practice in language implementation. Audio programming languages combine art of programming with music synthesis enabling algorithmic synthesis and various other composition styles otherwise hard to produce using traditional tools. There have been many audio programming languages in the past, each of them using different paradigms of programming and technique, existing languages, their paradigms and effectiveness are thoroughly discussed in this review article. It focuses on the level of granularity and effectiveness that the language model offers over audio production. Additionally, it covers the experimental findings related to each of the aforementioned language models.

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Audio programming, audio synthesis, Programming paradigm, music representation, algorithmic composition, live coding

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The current study aim of present study was to investigate the in vivo anti-aggressive activity of Hibiscus rosa-sinensis using defensive and offensive behavioral models in rodents. Adult male and female mice were used for the present study. Animals were divided into four groups, with 5 animals in each. Diazepam was used as standard anti - aggressive agent. Animals were treated according to test. Hibiscus rosa-sinensis (200 mg/kg and 400 mg / kg, p.o.) was administered according to test. Standard group was treated with diazepam (1 mg/kg, p.o.).

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Hibiscus rosa sinensis, Aqueous Extract, Anti-Aggressive, Extraction

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Spam filtering technology must be developed quickly due to the increase of unsolicited emails, or spam mails. Computer security has struggled with spam emails on a consistent basis. They are incredibly expensive economically and exceedingly risky for networks and computers. Spam emails are found and filtered using machine learning techniques. This project mainly focus on machine learning used to find and remove spam emails. Using the K-nearest neighbour algorithm for email spam detection is one of the simple supervised learning techniques. Applications are utilizing machine learning techniques in spam filters for email in Gmail and Outlook, two of the top internet service providers. Regression method used to detect and filters spam mails.

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Super vised learning, spam or ham, tokenization, lemmatization, stemming.

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Generalized Gray codes; Frequency Hopping spread Spectrum;Binary Reflected Gray code;

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This survey aims to automate the process of identification and diagnosis of Haemoprotozoan diseases in cattle, using machine learning algorithms to build a model from a dataset of images and diagnoses collected from local labs. The project focuses on three significant Haemoprotozoan diseases that pose a significant risk to cattle all across India: Anaplasmosis, Babesiosis, and Theileriosis. The model is designed to run on a client-server web application, where a picture of the bloodstream sample is sent to the server, which then returns two parameters specifying whether the diagnosis is positive or negative, and the type of disease. This could significantly reduce mortality rates by making the process cheaper and faster. The model will be tested and evaluated several times in the training and testing modules. The evaluation process will be based on the model's accuracy, as well as other factors such as the model's speed and cost-effectiveness. The outcomes are then differentiated from the existing models already in use, to inspect the accuracy and implementation of the model. The final model will be deployed in the client-server web application.

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Machine Learning, Haemoprotozoan, Keras R-CNN, Bi-LSTM, Classification, Client-Server

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Role and Benefits of Dance in Physical Education

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Role and Benefits of Dance in Physical Education

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Post COVID-19 patient, viral infections diseases, PEFR, peak expiratory flow meter diseases.

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