Volume 12 | Issue 4

 Abstract

Yoga being the ancient practice in India is contemplated as an Art and Science of healthy living. Yoga is the reunion of body, mind and soul. It is one of the most practiced art which focuses on breathing techniques to boost our mental and physical wellness. This practice is said to have originated many years ago in Ancient India and slowly advanced in other countries. This study explores the connections between traditional yoga practices and their contemporary expressions within Indian knowledge systems among youth. Through a review of Vedic texts and an analysis of modern yoga styles, the research unravels the historical evolution and cultural significance of yoga. The research examines the multifaceted nature of yoga, encompassing physical postures (asanas), breathing techniques (pranayama), and meditation (dhyana). It highlights the historical differences between ancient and modern yoga practices while exploring the emergence of new- age yoga forms. The findings contribute to a deeper understanding of the vitality of Indian knowledge systems and the ways in which yoga continues to connect youth with their cultural heritage in the modern age. A qualitative approach was adopted, using semi-structured interviews and participant observation. Data were collected from yoga practitioners aged 18-25 in urban and rural areas of India. The study highlights the multifaceted nature of yoga within Indian knowledge systems and its relevance to youth cultural identity. It suggests that yoga can promote cultural preservation and revitalization, foster resilience and well-being among youth, bridge traditional and modern values within Indian society.

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 Keywords

Youth cultural identity, yoga, Indian knowledge systems, modernity, resilience, wellness, socialization.

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Creative Commons Attribution 4.0 and The Open Definition

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Zebrafish are utilized in many fields and as a clever model for preclinical research. Because compared to other animal models, it is more convenient. This review paper primarily focuses on the benefits, anatomy, and application of the model in various disease conditions. Zebrafish is more convenient to use in study because of their anatomy, which is quite similar to that of humans. Its advantages over other animals are also greater. Zebrafish are utilized as smart models in a variety of disease conditions to study the situation in detail. The application of models of zebrafish in variety of illness conditions, such as cardiovascular disease, mental disorders, obesity, and larval styphaloccous infections, is the main topic of this review paper.

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Zebrafish , Embryo Toxicity, Tetragenicity

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The DC-DC converter has been focused as a very important part in different topologies in various applications. In recent years, DC-DC converters have become a popular device in electric vehicles, trolley cars, marine hoists, photovoltaic (PV) systems, uninterruptible power supplies (UPS) and fuel cell systems. The purpose of this paper is to demonstrate the design of a functional prototype of a DC-DC boost converter that can be used for 9-24 V and 9-48 V. DC-DC boost converter is basically a step-up converter that gives higher output voltage (Vo) compared to input voltage (Vin). It steps up the input voltage in order to achieve a higher output voltage. The boost converter, also known as a switch mode regulator, is popular due to its high efficiency and low cost. The voltage source and duty cycle play a crucial role in determining the output voltage. The boost converter circuit is crafted with MOSFET, resistor, capacitor, inductor, and diode.The boost converter's working principle is based on the inductor's ability to resist changes in current as its components. The Pspice software program is used to simulate and analyze the boost converter. The converter circuit model, with a specification of output power of 50W, input voltage of 9V, and operating frequency of 46kHz, was simulated to validate the designed parameters. The simulation results of the boost converter are assessed against the theoretical results.

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 Keywords

Boost converter, prototype, switch voltage, power supply, ripple voltage and ripple current.

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This project report deals with the analogizing and provide appropriate solution on the village problem. We define to make the village as a problem free. In village we identify three major problems like Solid waste management, Sewage water management, Scarcity of water. We analysis the problem and provide the appropriate solution on it. For the management of sewage water we tell them to construct the soak pit in every houses in village that reduces the sewage water and also increases the ground water level.for the solid waste we suggest the segregation and treatment plant. For the scarcity of water we suggest the rainwater harvesting and watershed management.

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Analysis the village problem, sewage water management, solid waste management provided appropriate solution

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Systemic lupus erythematosus (SLE) is a chronic autoimmune disease of unknown origin, characterized by tissue damage caused by autoantibodies and immune complexes. Dysfunctional T cells, B cells, and dendritic cells contribute to the production of autoantibodies. Key features include the activation of dendritic cells and continuous secretion of IFN-alpha (1). Diagnosis requires the presence of four or more symptoms among malar rash, discoid rash, photosensitivity, oral ulcers, non-reactive arthritis, pleuritis/pericarditis, renal disorders, neurological and hematological manifestations, and positive ANA tests (2). In Ayurveda, systemic lupus erythematosus (SLE) is likened to Gambheera vatarakta, as the symptoms closely resemble those of SLE (3). Vatarakta is a disorder resulting from the imbalance of Vata and Rakta due to various factors. Dietary and lifestyle factors causing Vata imbalance lead to the obstruction of Vata in the circulatory system, resulting in Vatarakta. There are two types of Vatarakta: Uthana vatarakta, affecting superficial tissues with symptoms like skin and joint issues, and Gambheera vatarakta, a more severe stage impacting deeper tissues, including blood, bones, and joints. Gambheera vatarakta is characterized by systemic illness and joint pathology. The primary Dosha involved is Vata, and the affected tissues include Rasa, Rakta, Mamsa, and Twak. Ayurvedic treatments, including Panchakarma procedures and internal medicines, are considered effective for managing this condition (4) (5).

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Vaatraktha, SLE, Snehapana, Basti, Shaman oushadhies.

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The purpose of this research is to examine and find out major travel problems faced by the people. In recent times there is an increase in travelling and taking a break from one's routine and going on a vacation has become a trend. There are a lot of problems faced by people while travelling which abstain them from going on a vacation. So this research brings out those problems to others knowledge and prove a solution to it. This research makes a study about what do people think of going on a vacation, is money a factor determines their travel, and do they get sick while travelling. This study concludes that money plays a major role in planning a trip or going on a vacation, some people do get sick while travelling but most of them love to travel and don't get affected by travel sickness. People take neutral stand when we ask them about the stress they undergo while travelling.

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Travel Problems, Economic Condition and Sickness.

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Problems like where products are delivered and returned might have an impact on the value of e-commerce. The study published in the publication discovered a relationship between time to delivery and timeliness and flexibility. Through efficient communication, the logistics sectors can keep a close eye on what is being delivered. The e-commerce business has grown rapidly over the last ten years thanks to companies like Alibaba and Amazon, which have made it feasible for customers to shop online, even from mobile devices. As customers start making more purchases from online retailers rather than traditional brick-and-mortar stores, there is an increasing need for logistic enterprises' services in the delivery of goods and packages. Following the epidemic, e-commerce growth significantly increased in strength, according to the research. Modern technologies are being used by businesses in the logistics sector more and more to optimize their operations. Amazon has emerged as the clear market leader in e-commerce because to their creative utilization of delivery trucks and cargo planes

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Key words: E-commerce, Logistics, Delivery time, Timeliness and Flexibility

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The challenges faced by visually impaired individuals in detecting objects and animals are significant. Our proposed solution involves integrating the YOLOv7 algorithm with deep neural networks (DNN), leveraging the COCO dataset for object recognition. This system communicates detected objects through voice feedback, aiding visually impaired users in understanding their surroundings. The utilization of YOLOv7, a proven system recognized for its accuracy in object detection, can greatly improve the effectiveness of our solution. By harnessing deep learning algorithms, the system has the potential to deliver more precise and reliable results, thereby enhancing the user experience for visually impaired individuals. To ensure success, it's crucial that the system's user interface and audio feedback are designed to be intuitive and easily understandable for visually impaired users. Incorporating user testing and feedback from individuals with visual impairments will be essential in refining the system to meet their specific needs and preferences. Additionally, continuous updates and enhancements to the algorithm and dataset will be vital to maintaining and improving the system's accuracy and performance over time, ensuring its ongoing effectiveness in assisting visually impaired individuals.

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Creative Commons Attribution 4.0 and The Open Definition

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YOLOv7 algorithm, Deep neural networks (DNN), COCO dataset, Object recognition, Voice feedback, Visually impaired individuals, User interface design, Accessibility, Deep learning algorithms.

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The present paper attempts to examine the socio-economic impact of progressive farmers. The study was conducted in 10 villages located in Bilaspur, Mungeli, and Janjgir- Champa districts. Data for the study was collected from a sample of 220 vegetable farmers. The socio-economic approach is mainly concerned with the social, economic, and political aspects of individuals or social groups in society. The socio-economic approach focused on identifying their internal characteristics such as, education, gender, wealth, health status, access to credit, access to information and technology, formal and informal (social) capital, political power, and so on. Variations of these factors are responsible for the variations in socioeconomic characteristics of farmers. This study reveals that majority of the respondents were middle-aged farmer, were having Upper primary level of education with nuclear family, mixed housing pattern, and following agriculture as the main occupation. The socioeconomic characteristics of farmers are important for better policy options. On the basis of the finding it is suggested that socio-economic status of the farmers can be improved by imparting technical knowledge/ training to vegetable farmers, increasing their education level and increasing their social participation.

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 Keywords

Education, income, media utilization, socioeconomic, vegetable farmer.

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Creative Commons Attribution 4.0 and The Open Definition

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the partition of India in 1947 stands as a pivotal moment in history, marked by mass displacement, violence, and the reconfiguration of national boundaries. Amidst the chaos and upheaval of partition, refugee women emerged as central figures, grappling with the loss of home, identity and security. This paper offers a comprehensive exploration of their experience, drawing upon a rich array of primary sources and scholarly research to illuminate the multifaceted dimensions of identity reconstruction, trauma, resilience, and societal change in post-partition India. Through a detailed analysis of their narratives, this study seeks to honor the voices and experiences of refugee women, shedding light on their enduring legacy of survival and resilience in the face of adversity.

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Beyond boarders: the resilience and identity of refugee women in Post-Partition India

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The Courier Management System using PHP and MySQL is a comprehensive web-based application designed to streamline and optimize the Courier processes of businesses. This project aims to provide an efficient platform for managing Courier activities, tracking customer interactions, monitoring product inventory, and generating insightful reports. By utilizing the power of PHP programming and MySQL database management, this system offers real-time data processing, secure data storage, and user-friendly interfaces for both Courier teams and administrators. By implementing the Courier Management System using PHP and MySQL, businesses can enhance their Courier operations, improve customer relationships, and make data-driven decisions for growth and success. The project demonstrates the practical application of web technologies in creating an effective Courier management solution that meets the evolving needs of modern businesses.

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system, courier, management, design, customer, data, php, mysql, tracking

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Creative Commons Attribution 4.0 and The Open Definition

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Tree protection in forests is of paramount importance due to its multifaceted significance.Trees serve as vital carbon sinks,mitigating climate change.They sustain diverse ecosystem,supporting various flora and fauna.Trees also prevent soil erosion insure water conservations and contribute to clean air.Preserving trees in forest is essential for maintaining ecological balance,biodiversity,and the overall health of our planet.This project focuses on forest conservation throught an advanced sensor system. Touch, Fire,Metal and Vibration sensor are strategically place to monitor tree cutting,touching,fire outbreaks,and presence of metal machinery,when triggered,these sensors send real time data via Bluetooth notifications to a central control hub.This enables swift response to threats,aiding in the protection and preservation of forest against various hazards

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Arduino Uno, IR sensor, Metal detector, Bluetooth module

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The Smart Face Door Lock utilizing Artificial Intelligence (CNN) is a cutting-edge security system designed to enhance access control through facial recognition technology. Leveraging Convolutional Neural Networks (CNN), the system provides robust face training capabilities, enabling seamless recognition of authorized individuals. Through continuous learning, the CNN algorithms adapt and refine their recognition accuracy, ensuring reliable performance over time. One of the key features of this system is its ability to detect unauthorized access attempts. By analysing facial features in real-time, the CNN can promptly identify unfamiliar faces attempting to gain entry, triggering immediate security alerts. This proactive approach helps mitigate potential security breaches and safeguard the premises effectively. Furthermore, the Smart Face Door Lock incorporates a mail notification feature, enhancing user convenience and security monitoring. Upon successful access or any unauthorized detection event, the system sends instant notifications to designated email addresses, enabling users to stay informed about access activities remotely. Overall, the integration of Artificial Intelligence, specifically CNN, empowers the Smart Face Door Lock with advanced face training, unauthorized access detection, and mail notification functionalities. This comprehensive approach not only enhances security but also offers a seamless and user-friendly experience for access control in residential and commercial settings.

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Facial recognition technology;CNN;AI based face recognition; security alert; real-time analysis; user friendly feature; continuous learning

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To study red mud for the making of self-compacting concrete (SCC) is to explore and assess the feasibility, performance, and environmental impact of incorporating red mud as a supplementary material in SCC mixtures. Self-compacting concrete (SCC) is a flowing concrete that does not require vibration and, indeed, should not be vibrated. It uses superplasticizers and stabilizers to significantly increase the ease and rate of flow. It achieves compaction into every part of the mould or formwork simply by means of its own weight without any segregation of the coarse aggregate.

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APPLICATION OF INDUSTRIAL WASTE- IN THE MANUFACTURING OF SELF COMPACTING CONCRETE

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The AI Healthcare Chatbot, powered by Botpress, offers streamlined healthcare interactions. It enables user authentication, registration, and insurance verification. Providing consultations for physical and mental health, along with appointment booking, it's integrated into the website for a secure, engaging healthcare experience, prioritizing seamless user engagement and comprehensive services.

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Creative Commons Attribution 4.0 and The Open Definition

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AI, Chatbot, Healthcare, Javascript

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Creative Commons Attribution 4.0 and The Open Definition

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This study aims to generate evidence on a sustainable vegetable production model that will be key to regulating GAP in Chhattisgarh state. The vegetable production sector provides immediate income, nutrition, and food security and contributes significantly to the economy of India. In recent decades, the sustainability of the vegetable sector has been challenged due to the unsystematic use of agrochemicals for commercializing production. Adopting Good Agriculture Practices (GAP) could reduce the use of agrochemicals in commercial vegetable production. This study conducted the assessment of GAP in Bilaspur, Mungeli, and Janjgir- Champa districts. A mixed-method approach, combining quantitative and qualitative methods, was adopted for the study, which included farmers' surveys, key informant interviews, and in-depth interviews. The vegetable sector provides immediate income, nutrition, and food security and contributes significantly to the economy of Chhattisgarh. In recent decades, the sustainability of the vegetable sector has been challenged due to the unsystematic use of agrochemicals for commercializing production. Adopting Good Agriculture Practices (GAP) could reduce the use of agrochemicals in commercial vegetable production. The results showed that farmers were adopting different GAP, such as cropping practices, livestock integration, soil fertility management practices, and integrated pest management practices. Upon adopting these practices, farmers reduced agrochemicals' use by more than 40%. The study's findings imply that adopting GAP helps reduce the use of agrochemicals, consequently motivating farmers toward safe and sustainable vegetable production. The study recommends market-based solutions such as creating mass consumer awareness, ensuring premium prices with quality assurance mechanisms for making the GAP-based production profitable, and promoting its wider adoption. This is supported by facilitating farmers' access to government subsidies, price incentives, and insurance services and increasing access to GAP inputs.

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 Keywords

Sustainable growth, GAP, Profitable, Farmer.

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Creative Commons Attribution 4.0 and The Open Definition

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Text to face creation is a subdomain of text to image reconstruction. It affects not only a wide range of use cases in the field of public safety, but also novel research areas. There is very little study on text to face synthesis since there are no datasets available. Up until now, the maximum of the work done on text-to-image generation has relied on partly trained Gan's, where the input sentence's semantic properties are extracted using a pre-trained text encoder. These semantic traits were later used to instruct the decoder for images. To produce realistic and organic visuals, we present a completely trained GAN in our study. To provide more precise and effective outcomes, Both the picture decoder and the text encoder were trained concurrently. Apart from the suggested approach, another addition is the creation of the dataset through the combination of LFW, CelebA, and locally generated dataset. Additionally, the collected data or information is labeled using our predefined classifications. It's been demonstrated through a variety of studies that our model performs better than others by producing high-quality pictures from the input phrase. Furthermore, the visual findings, which produced the facial images in response to the provided inquiry, further enhanced our experiments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Text to face generation, public safety domain, Dataset, Pre-trained text encoder, Semantic features, Image decoder, fully trained GAN, Text encoder, LFW, CelebA, locally prepared dataset, Labeling, Experiments, Quality images, Visual results, Face images, Query.

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In today's fast-paced world, characterized by increasing work demands and personal responsibilities, individuals often struggle to maintain a healthy balance between their professional and personal lives. This imbalance contributes significantly to stress, which has pervasive negative effects on physical, mental, and emotional well-being. This research paper explores the potential benefits of yoga in addressing stress and promoting work-life balance in the modern world. Drawing upon existing literature and empirical evidence, the paper examines the physiological, psychological, and behavioral mechanisms through which yoga practices influence stress reduction and enhance overall quality of life. Furthermore, it investigates the practical applications of yoga techniques in managing stress and fostering greater harmony between work and personal life. Through a comprehensive analysis, this paper aims to highlight the significance of integrating yoga into contemporary lifestyle practices to alleviate stress and improve overall well-being in individuals striving to navigate the complexities of modern life.

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work life balance, yoga, stress buster, anxiety, digital era, modern day work life pressure, stress management from yoga, benefits of yoga

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Creative Commons Attribution 4.0 and The Open Definition

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This study delves into the intricate relationship between arbitration and intellectual property (IP) disputes within commercial transactions, focusing on the arbitrability of such disputes in the context of Indian law. Despite ongoing uncertainties regarding the arbitrability of IP conflicts, there is a discernible shift towards arbitration as a preferred method of resolution, particularly in contractual IP disputes. Arbitration offers several distinct advantages over traditional litigation, especially in the realm of international commerce, owing to its unique features. Arbitration's appeal lies in its ability to provide a neutral and efficient forum for dispute resolution. Unlike litigation, which may entail biases or unfamiliar legal landscapes in foreign courts, arbitration offers a level playing field for parties from different backgrounds. This neutrality is bolstered by the selection of arbitrators who are often subject matter experts and chosen based on their impartiality. Moreover, arbitration provides flexibility and confidentiality, allowing parties to tailor the process to their specific needs and maintain the privacy of sensitive information. In the context of IP disputes, where proprietary information and trade secrets are often at stake, this confidentiality is paramount. Additionally, arbitration streamlines the resolution process by consolidating multi-jurisdictional claims into a single procedure, minimizing costs and procedural complexities. Despite these advantages, challenges remain, particularly concerning the enforceability of arbitral awards and the complexities inherent in navigating different legal regimes governing IP rights across jurisdictions. Nevertheless, the growing popularity of arbitration in resolving international IP disputes underscores its efficacy in meeting the evolving needs of the global marketplace.

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Creative Commons Attribution 4.0 and The Open Definition

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Arbitration, Intellectual Property Disputes, Commercial Transactions, Arbitrability, Indian Law, Neutrality, Efficiency, Flexibility, Confidentiality, Multi-Jurisdictional Claims, Enforceability

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Ayodhya, the historic city has just witnessed the grand opening of Lord Ram Mandir. Right now, the place is witnessing not only a religious milestone but also an economic boom. The construction of the Ram Mandir in Ayodhya has been a socio-political and cultural aspiration of millions of Hindus in India for a long time. While the significance of the Ram Mandir is primarily religious and cultural, it is important to explore the potential impact of this monumental project on the Ayodhya's economy. With the inauguration of Lord Ram Temple in Ayodhya, tourists and industrialists are flocking for their share of opportunities. This paper focuses on the impact of the temple on the local economy, employment generation, boost in tourism and infrastructure development, etc.

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Creative Commons Attribution 4.0 and The Open Definition

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Ram Temple, Ayodhya, Economic Implications, Multi-Sectoral Analysis, Tourism, Infrastructure Development, Job Creation, Real Estate

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Creative Commons Attribution 4.0 and The Open Definition