Volume 12 | Issue 5 |

 Abstract

In spite of the protection guaranteed to women across the globe they are seen and treated as the second sex. This reality for women is perpetuated and propagated by the age-old traditions and practices. Thus, women empowerment is the need of the hour and entrepreneurship is the right tool to achieve it. However in recent years, there has been a noticeable shift towards fostering women's participation in entrepreneurship, driven by both societal changes and deliberate government initiatives aimed at promoting gender equality and economic development. This paper intends to highlight the factors that influence women to become entrepreneurs, the problems and challenges faced by women entrepreneurs in general, the nature of women entrepreneurs in Dhofar region and the challenges faced by women entrepreneurs, in dhofar region in particular.

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 Keywords

Entrepreneurship, challenges, work-life balance, business potential.

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 Abstract

Tankanadi Churna is a Herbo-mineral Formulation mentioned in the classical text called Siddha Bheshaja manimala. It is a Dadruhara Lepa which contains Tankana, Gandhaka, Navasadara and Mishri as ingredients. Tankanadi Churna is in Churna form(powder) which should be mixed with Nimbu swarasa(lemon juice) and applied on the affected area. Preparation of the Churna and Lepa are explained in the Sharangadhara samhitha. In the present study, Shuddha Tankana(Borax), Shuddha Gandhaka(Sulphur), Shuddha Navasadara (Ammonium Chloride) and Churna of Mishri (Rock sugar) were taken in a Khalwa yantra and properly mixed to prepare Tankanadi Churna. Step by step pharmaceutical procedures were carried out according to classical reference and SOP. Loss during the process, total yield is noted. Pharmacological action of the Tankanadi Churna is discussed in brief.

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Tankanadi Churna, Dadru Kushta, Churna nirmana, Pharmaceutical study.

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This research paper clarify about the integration of waste plastic into bituminous concrete mixes presents a promising solution to both environmental pollution and infrastructure durability challenges. This study explores the optimization of bituminous concrete mixes by incorporating various types and proportions of waste plastic, aiming to enhance pavement performance. Laboratory experiments were conducted to evaluate the mechanical properties, including tensile strength, rutting resistance, and durability, of bituminous concrete modified with waste plastic. The results demonstrated significant improvements in the performance characteristics of the modified concrete, with optimal plastic content enhancing the material's resistance to deformation and extending its lifespan. Additionally, the environmental impact assessment highlighted the potential of this approach in reducing plastic waste in landfills. This research underscores the dual benefits of incorporating waste plastic into bituminous concrete: promoting sustainable waste management and advancing the development of more resilient and long-lasting pavements. Further studies are recommended to refine the mix design and assess long-term field performance.

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 Keywords

Bituminous Concrete (BC), waste plastic, Flow value, environmental pollution, tensile strength

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT During economic downturns, small enterprises face significant challenges. This research investigates the multifaceted impact of recession on these businesses, examining factors that either strengthen their resilience or expose vulnerabilities. Employing both qualitative and quantitative methods, our study aims to uncover unique insights into the adaptive strategies utilized by small enterprises. By offering authentic perspectives, this research contributes valuable, original contributions to the discourse on navigating economic turbulence for these crucial economic entities. This research paper aims to comprehensively analyse the multifaceted impact of economic recessions on small enterprises. It delves into the challenges faced by small businesses during economic downturns, such as reduced consumer spending, limited access to credit, and disruptions in supply chains. Additionally, it explores the resilience strategies employed by small enterprises, identifying successful cases and key determinants of survival and recovery. The research contributes valuable insights into policy recommendations and support mechanisms that can enhance the resilience of small businesses in the face of economic uncertainties.

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 Keywords

Recession, small enterprises, consumer , demand, markets

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As India's digital and economic landscape evolves, a new breed of brands is taking centre stage: the Direct-to-Consumer (D2C) players. This info graphic dives deep into the heart of this dynamic ecosystem, visually mapping its explosive growth, key trends, and defining characteristics. We all delve into the challenges and opportunities these brands face, highlighting the fierce competition, logistical hurdles, and the quest for differentiation.Data has become prevalent to all, data is a variate in our life. Data analysis is the process of examining, filtering, adapting, and modeling data to help solve problems. Data analysis helps determine what is and isn't working, so you can make the changes needed to achieve your business goals. The biggest challenge for every D2C company is the shift of responsibility in distribution. Without large resellers to support your brand, you have to work harder to make your brand stand out. You are responsible for fulfillment, packaging, returns, and warehousing. This info-graphics is to know how the new engrossed brands affect our Country's economy and the number of brands that people opt to open business based on which category.

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Company, Algorithm, continuous, Visualization,

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Abstract In Stock Market Prediction, the aim is to predict the future value of the financial stocks of a company. The recent trend in stock market prediction technologies is the use of machine learning which makes predictions based on the values of current stock market indices by training on their previous values. Machine learning itself employs different models to make prediction easier and authentic. The paper focuses on the use of Regression and LSTM based Machine learning to predict stock values. Factors considered are open, close, low, high and volume. Keywords :- Predictive Modeling, Machine Learning, Time Series Analysis, SARIMA Model

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Transcript, YouTube, Google translator, Text Summarizer.

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The goal of the proposed project is to create a safe Android mobile application that would make renting everyday products easier. This project is a wonderful fit for the dynamic needs of contemporary city life. This app's main goal is to make users' lives more convenient by providing them with quick access to things they need for a short while, which will save them a lot of time and money. Moreover, it actively fosters the sharing economy by motivating people to exchange their unused belongings. Thus, by lowering waste and resource consumption, this encourages resource optimization and advances sustainability goals. Another benefit of the idea is its affordability, which releases consumers from ownership duties. For those looking to rent out their goods, this program offers both individuals and businesses intriguing economic options.

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 Keywords

Online Rental Services Platform, Android Application. Essential goods and services

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Livestock monitoring and geofencing technologies play pivotal roles in present agriculture, enabling effective management and heightened security for livestock. This abstract gives a succinct summary of the essential features and perks related to these innovations. Livestock monitoring comprises of GPS tracking and behaviour examination to trace the place, wellbeing status, and conduct designs of beasts. Geofencing supplements this by creating virtual confines employing GPS or RFID technology, empowering farmers to regulate grazing locales and tighten security measures. The combination of these technologies delivers manifold advantages, including enhanced productivity, finetuned resources allocation, early ailment recognition, and amped-up security against pilferage and unapproved access. In spite of their prospective profits, quandaries such as data control, opening costs, and technological constraints remain outstanding. This abstract underscores the significance of livestock monitoring and geofencing in modern agriculture and lays the groundwork for an in-depth probe of their applications, profits, issues, and prospective avenues in the research paper. Livestock monitoring encompasses the implementation of Global Positioning System (GPS) tracking, well-being detectors, and conduct examination to monitor the position, wellbeing condition, and routine behaviors of animals. Geofencing extends this functionality by marking out digital boundaries using GPS or RFID technology, enabling farmers to prescribe grazing spots and reinforce safety precautions. The fusion of these technologies offers various gains, featuring enhanced work productivity, fine-tuned resource management, premium disease detection, and improved security against pilferage and clandestine access. With the vast potential they hold, however, these technologies face hurdles, like data administration, upfront expenses, and technical limitations, which remain to be surmounted. Geofencing technologies not only help in managing grazing areas but also ensure that livestock remain within safe premises. This virtual control of resources, in combination with real-time livestock monitoring, significantly contributes to operational efficiencies in smaller farming operations. On the larger scales of commercial-sized farms, these technological solutions empower precision farming and facilitates optimal resource deployment in extensive areas. Livestock monitoring, as an aspect of modern farming, is a standout integrated solution for managing extensive livestock populations.

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Livestock Monitoring, Geo-Fencing , RFID , Realtime Tracking, GPS , User Interface

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This paper examines the important relationship between energy security and national defense in the context of India. Through a comprehensive review of secondary data sources, the paper aims to elucidate the historical evolution, policy framework, geopolitical dynamics, technological innovations, challenges and future directions of energy security as a dimension of Indian national security. The methodology employed involved systematic analysis and synthesis of existing literature, including academic journals, government reports and strategic documents. The most important findings provide light on the transformation of India's energy security policy from resource nationalism to a more diversified and sustainable approach. This transformation was brought about by geopolitical concerns and significant technical developments. Furthermore, the article highlights the relevance of regional energy dynamics, diplomatic engagements, and technology advancements in the process of defining India's military capabilities and national security posture. In order to increase India's strategic autonomy and resilience in the face of growing security threats, recommendations are made for boosting energy resilience, addressing vulnerabilities, and encouraging international partnerships. These recommendations are supplied through the provision of recommendations.Thus, the paper emphasizes the indispensable role of energy security in military planning and national security strategy, emphasizing the need for proactive measures to mitigate risks and capitalize on opportunities in the dynamic energy landscape

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 Keywords

Energy Security, National Defense, Geopolitical Dynamics, Technological Innovations, Military Strategy

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Creative Commons Attribution 4.0 and The Open Definition

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Fast-paced, high-volume production processes are the foundation of all clothing brands. To increase efficiency and productivity, every part of the process, from raw materials to final products, needs to be carefully monitored and controlled. Automation and robotics technology in clothing production has grown exponentially. Robots can be used in many industries, but their application in the textile industry is the best. Fortunately, innovations in robotics have brought new and improved methods to clothing production. Many specialized robots are equipped with advanced sensors. The integration of many of these features makes it easier for companies to perform tasks such as cutting, sewing, labeling, and packaging.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Industry 4.0, Automation, CoBots, Robots, Universal Robots, ROI

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Creative Commons Attribution 4.0 and The Open Definition