Volume 11 | Issue 12 |

 Abstract

The aim of this study to investigate the influence of political stability on the relationship between the fiscal policy, fiscal deficit, and economic growth in South Asian countries. This study used the panel data from 2001 to 2018 and used pooled mean group approach for estimation. Results indicated that political stability and human capital had a positive effect on the economic growth. Moreover, the gross capital formation, labor force, and government expenditure had a positive, whereas inward FDI and fiscal deficit had negative effects on economic growth. These findings support the Keynesian view on the fiscal policy and the neoclassical theory on fiscal deficit in the presence of political stability. The study suggested that the expansionary fiscal policy, reduction in fiscal deficit, and political stability can enhance the economic growth in South Asian economies. The findings have significant implications for policy makers and can contribute to the existing literature.

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 Keywords

government expenditures; fiscal deficit; political stability; the pooled mean group approach; South Asian economies

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Ginger (Zingiber officinale) is a flowering plant whose rhizome, ginger root or ginger, is widely used as a spice and a folk medicine. Ginger is loaded with antioxidants, compounds that prevent stress and damage to your body's DNA. They may help your body fight off chronic diseases like high blood pressure, heart disease, and diseases of the lungs, plus promote healthy aging. Doctors recommend consuming a maximum of 3-4 grams of ginger extract per day. If you're pregnant, don't consume more than 1 gram of ginger extract per day. Ginger is not recommended for children under the age of 2. The first written record of ginger comes from the Analects of Confucius, written in China during the Warring Statesperiod (475-221 BC). Though it is grown in many areas across the globe, ginger is "among the earliest recorded spices to be cultivated and exported from southwest India".

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Zingiber officinale, Rhizome, Ginger, Anti- inflammatory, Resins.

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Assess, knowledge & pediatric thalassemia

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Innovative research attempts have been spurred by the constant difficulty of shadows affecting image quality in the field of computer vision and image processing. This research explores the creation of a reliable and effective shadow removal system using state-of-the-art image processing methods. Shadows reduce image clarity and interfere with visual perception, frequently serving as obstacles in a variety of applications. This research attempts to tackle this problem from all angles in order to revolutionize image processing. Naturally occurring in images are shadows cast by obstructing light sources, which cause colour distortion and decreased visibility. Shadows impede precise object identification and scene comprehension in computer vision. The limits of traditional shadow removal technologies require the investigation of more sophisticated strategies in order to address these issues. The common appearance of shadows in images, which restricts applications like automated surveillance, object detection, and medical imaging, is the driving force behind this research. Eliminating shadows improves automated systems' accuracy and dependability in addition to their visual appeal. This work has broad implications for many domains where accurate image processing is critical. The creation of a novel shadow removal system that can precisely detect and remove shadows from photos is the main result of this research. The suggested method ensures accurate removal without sacrificing image integrity by using advanced algorithms and machine learning models to discern between shadows and real objects. After a great deal of testing and verification, the system performs exceptionally well in a range of lighting scenarios with complicated shadows. By combining powerful image processing algorithms with machine learning approaches, this study presents a revolutionary methodology. The system's capacity to adaptively learn and distinguish shadows from other picture elements, guaranteeing great accuracy and efficiency, is what makes it innovative. Furthermore, the addition of real-time processing capabilities represents a significant development and enables the system to be used in time-sensitive applications. In conclusion, this study not only tackles the ubiquitous problem of shadows in photos but also makes a significant contribution to the field of image processing. The system that was created is evidence of the collaboration between state-of-the-art algorithms and creative approaches, opening the door to improved image quality and the development of computer vision applications.

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Computer Vision, Machine Learning, DeepLearning.

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Blockchain technology streamlines business operations and minimizes reliance on intermediaries. This technology also automates processes such as contract execution, payment processing, etc. to save time and boost productivity. Blockchain technology is now being used in a variety of educational settings, including the creation of transparent and secure decentralized learning platforms. Limited research has been done to determine the awareness and adaptation of blockchain technology in academic environments. The use of blockchain technology in the academic setting has the potential to significantly enhance intellectual property protection, secure data sharing, etc. This research paper will analyze the understanding and awareness of academics about blockchain technology applications in academic environments such as administration and learning management systems. This research study recommends a framework model called the EX-TAM, to help understand the intentions of academic stakeholders towards blockchain technology. Stakeholders' intentions and understanding of technology adoption are critical for ensuring successful implementation, maximizing adoption, and return on investment. Many research studies have found that there are multiple factors that are responsible for the successful adoption of any technology. According to the academic database Google Scholar, using the keywords "blockchain technology adoption factors" generated over 20,000 results as of April 2023. However, some of them focused on the issues influencing the adoption of blockchain technology, while others examined more general issues such as blockchain benefits and drawbacks, how it affects various industries, and what potential uses it might have. The proposed research model Ex-TAM is influenced by the TAM model. The model will help to identify the factors responsible for the adoption of blockchain technology in academic environments and understand the level of awareness. This proposed study is particularly effective in generating momentum for the adoption of blockchain technology in academic institutions to improve efficiency, reduce costs, and increase transparency.

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Blockchain technology, academics, technology model, adoption, factors, stakeholders.

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The retail industry is undergoing a rapid transformation as artificial intelligence (AI) automates the once manual tasks associated with running a successful business. By allowing businesses to see the potential outcomes of different pricing methods, AI apps for retail outlets might aid enterprises in product pricing. In order to do this, systems collect data on various goods, promotional activities, sales figures, and other relevant information. Finding out how AI has affected the retail sector is the driving force for the research. The research was conducted in Vijayawada, Andhra Pradesh, India, using 145 samples from different retail establishments. In this study, we employ primary and secondary sources of information. Factor analysis was used to assess the study. Studies of data show that most people are aware that AI is used in India's retail industry. People have also noticed that most stores are using AI into their business strategies. In particular, AI helps the Indian retail sector with order processing, shipping, and inventory management.Also, it has been shown that the majority of retail owners are cognizant of the ways AI might affect their company and are already incorporating AI strategies into their operations to adapt to the industry's evolving needs.

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Artificial Intelligence, Machine Learning, Retail sector,Business

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Creative Commons Attribution 4.0 and The Open Definition

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A chatbot, also known as a chatbot or chatbot, is a computer that can attempt to chat with a user. Over the past decade, chatbot technology has grown tremendously due to advances in artificial intelligence and machine learning. Chatbots have proven to be useful tools in many situations and are found in almost every aspect of our daily lives. This article will discuss the design, architecture and usage of chatbots. We will discuss the evolution of chatbots, present the basic principles of chatbots and the technologies that support them, and discuss the applications and implications of chatbots in the wider world

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Conversational agent, Chatbot technology, evolved tremendously, machine learning.

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The purpose of this study is to investigate the theme of friendship in passage to India by E.M Forster to indicate if there is any possibility to make a friendship between the colonized and colonizer and to be in harmony with each other and also to gulf the gap (geographical, cultural, social )between the rulers and the ruled, however using across-analyzing of the theme of friendship as one the main themes of the novel in which this analyzing give a better understanding of the difficulty of making a friendship between the two different races according to the geographical, cultural and social gap. However, this study definitively answers the question of making a friendship in which that Forster openly expresses his point of view. That The cultural and the ideological gulf that stands between the colonizer and the colonized can never be removed unless it is replaced by equality and freedom. This research is divided into the following: The first chapter contains the first part of colonization in general in 19th century and the second part colonization in passage to India the second chapter contains the summary of the novel, biography of the author and list of characters. While The third chapter explains the friendship, as the main theme of the novel. In chapter four the conclusion.

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Friendship, occupation, racism, India, Britain.

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The Boston Consulting Group (BCG)- A growth share 22 matrix is used. Bruce Doolin Henderson (1915-1992) creates the matrix in 1970 for the BCG in Boston. Massachusetts, the USA. Henderson was the President and Chief Executive Officer (CEO) until 1980. He was also Chairman until 1985. Question Marks indicate the products in high growth markets, and with low market share. Stars shows that both, the growth markets and market share are in the highest position Cash Cows predicts that the products are in low growth markets, and market share is in high. Dogs displays that both growth and market share are in low position. In this regard in this study BCG matrix is applied on Netsurf products to understand its performance and evaluate the various products.

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BCG matrix, performance evaluation, Cash cow, stars, dogs, question mark.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

DELHI SALTANAT KE SMAY UTRAKHAND ME MAHILAO KI AARTHIK AVM SAMAJIK STHITI

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DELHI SALTANAT KE SMAY UTRAKHAND ME MAHILAO KI AARTHIK AVM SAMAJIK STHITI

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Creative Commons Attribution 4.0 and The Open Definition