Volume 11 | Issue 1 |

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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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

 Keywords

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

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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

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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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

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Role and Benefits of Dance in Physical Education

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Creative Commons Attribution 4.0 and The Open Definition

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Role and Benefits of Dance in Physical Education

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

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Creative Commons Attribution 4.0 and The Open Definition