Volume 11 | Issue 11 |

 Abstract

This foundational research paper introduces a pioneering Decentralized Chat Application (DCA) poised to transform the landscape of online communication. Through the fusion of blockchain technology and peer-to-peer networks, the DCA ensures end-to-end encryption, establishing a new standard for secure and private messaging platforms. By decentralizing the underlying infrastructure, the application mitigates centralized vulnerabilities, bolstering security and resilience against network failures. User empowerment is fundamental, as individuals maintain absolute control over their data, engendering trust and anonymity. This base paper comprehensively explores the technical intricacies of DCA's development, including encryption protocols, blockchain integration, and user experience design. Additionally, it assesses the application's performance, scalability, and security, validating its efficacy as a reliable communication solution. This research lays the groundwork for future advancements in decentralized communication technologies, ushering in a new era where privacy and security are paramount in digital interactions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Eavesdropping, Smart Contracts, Blockchain, Solidity and Ethereum

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A potent technique for identifying Internet of Things (IoT) assaults and identifying novel forms of intrusion to get access to a more secure network is the application of deep learning in a variety of models. Where in there is a high False Positive Rate(FPR) in Network Intrusion Detection System(NIDS),with decent prediction rate. To reduce the FPR and give scalable solution, , we recommend using a Deep Learning (DL) model. By placing the model on the cloud, we can increase the NIDS's responsiveness during periods of high load, hence boosting availability. Because the model is installed as a micro service and is operating on Docker containers on the cloud instance, which can be accessed by REST APIs. According to the testing results, Long Short-Term Memory (LSTM) with two layers and Deep Neural Networks (DNN) with five hidden layers performed with a minimum accuracy of 88.75% and a maximum accuracy of 95.02%. The Random Forest technique in standard machine learning algorithms has achieved 86% accuracy. Network intrusions are becoming fraudulent and sophisticated. For any firm, having an appropriate network intrusion detection system nearby is the most important component.

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 Keywords

FPR, DNN, DL, Dockers, LSTM

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A Python-based web scraping solution that automatically discovers airlines and optimizes bookings for budget travelers. The web scraper will collect various airline information from major airline websites, travel agencies, and metasearch engines using BeautifulSoup, Selenium, and request libraries. The extracted data includes departure/arrival city, travel date, stop, flight and price and is processed with HTML and JSON parsing technology. The system analyzes the details of this information, determines the parking lot, connecting airports and announcement dates and determines the lowest price for the reservation. Algorithm-driven recommendations will suggest the best bookings, increase efficiency in searching for budget airline options, reduce manual searches and improve the booking process for users.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Web scraping, Python, Flight fares, BeautifulSoup, Selenium, Budget-conscious travelers.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Biomedical imaging concentrates on the capture of images for both diagnostic and therapeutic purposes. Snapshots of in vivo physiology and physiological processes can be gathered through advanced sensors and computer technology. Biomedical imaging technologies utilize either x-rays (CT scans), sound (ultrasound), magnetism (MRI), radioactive pharmaceuticals (nuclear medicine: SPECT, PET) or light (endoscopy, OCT) to assess the current condition of an organ or tissue and can monitor a patient over time over time for diagnostic and treatment evaluation. Biomedical image processing is a very broad field,it covers biomedical signal gathering, image forming, picture processing, and image display to medical diagnosis based on features extracted from images. Image reconstruction and modelling techniques allow instant processing of 2D signals to create 3D images.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Biomedical, Machine Learning, Processing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Kidney disease encompasses a diverse array of disorders impacting kidneys, often culminating in Chronic Kidney Disease (CKD), which progresses slowly and irreversibly. Cardiovascular events and fatality are more likely in people with chronic kidney disease (CKD). There is a complex association between Acute Kidney Injury (AKI) and Chronic Kidney Disease (CKD), which can range from modest functional abnormalities to severe renal failure. According to studies, certain alkaloids have been found to exhibit distinct pharmacological features, such as antioxidant, anti-inflammatory, and cytoprotective activities, which contribute to their nephroprotective effectiveness. Additionally, there are now greater possibilities for treatments against kidney illnesses owing to the potential of alkaloids, especially leonurine and canthine-6-one, as nephroprotective drugs.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Chronic Kidney Disease (CKD), cytoprotective, nephroprotective, leonurine and canthine-6-one

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: Inventory is significant element of working capital management in the companies except Financial ones. Inventory management is the administration of non-proliferative Assets i.e. Inventory and stock items. This Research Paper is mainly based on secondary data like website, Various blogs, Annual reports of the company, Financial statements of the company i.e. profit and loss Account and Balance sheet etc. The main Aim of the study is to evaluate the profitability and liquidity of Sugar Companies. For evaluate the profitability and liquidity, different statistical tools and accounting ratio has been used in this segment. Index Terms - Inventory management, Financial Ratio Analysis, Financial Statements, Financial Liquidity ANOVA -Analysis of Variance , S.D - Standard Deviations.

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Creative Commons Attribution 4.0 and The Open Definition

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: Inventory is significant element of working capital management in the companies except Financial ones. Inventory management is the administration of non-proliferative Assets i.e. Inventory and stock items. This Research Paper is mainly based on secondary data like website, Various blogs, Annual reports of the company, Financial statements of the company i.e. profit and loss Account and Balance sheet etc. The main Aim of the study is to evaluate the profitability and liquidity of Sugar Compani

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Creative Commons Attribution 4.0 and The Open Definition

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"NewsInBytes"is a cutting-edge news summarization application, developed using Python and Flask and powered by the Google Pegasus-Multi_News model, offering users a streamlined and efficient way to access and digest news content from Google News. This innovative platform simplifies news consumption by providing users with succinct summaries, article titles, and thumbnail images sourced from Google News. Furthermore, it enables users to access the full original articles with a simple "read more" option. Additionally, it empowers users to generate their own summaries for news articles by providing a summarization option, offering a truly customizable news consumption experience. The underlying technology leverages API integration using GNews to source the latest news and efficiently stores and retrieves summarized articles. The application addresses the modern need for efficient news digestion, catering to the requirements of news enthusiasts and users seeking concise and accessible news summaries. Challenges related to data freshness, scalability, and legal compliance are thoughtfully considered, ensuring a comprehensive and compliant user experience. This application enhances the user experience by simplifying news consumption and has the potential for future enhancements like personalized news preferences and mobile optimization, making it a valuable tool for news enthusiasts.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Google Pegasus-multi_news, Transformer-Based Approach, Text Summarization, News Summarization, API integration, Python, Flask web-framework

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Zygomatic implants have emerged as a valuable treatment option in modern dentistry, offering solutions for complex maxillary cases. However, the awareness and knowledge levels among dental students, both at the undergraduate (UG) and postgraduate (PG) levels, regarding zygomatic implants play a pivotal role in their future clinical practice.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Zygomatic implants, dental education, awareness, knowledge, indications, contraindications, complications, radiographic methods, treatment planning, sinus lift, dental students

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Multiple sclerosis is a chronic inflammatory demyelinating neurodegenerative autoimmune disorder of the central nervous system (CNS) of unknown etiology. The peak age of onset is between 20 years to 40 years of age,commonly affecting females;it is common in developed countries. There is less knowledge regarding diagnosis and treatment of Paediatric onset multiple sclerosis (POMS) as compared to adults. Here is a case of Multiple Sclerosis in a 15 yr old girl,it's slow presentation,diagnosis,use of available treatment,and gradually improvement over a few weeks.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Paediatric onset Multiple Sclerosis,Multiple Sclerosis plaque,Optic neuritis,Neurodegenerative,Autoimmune,demyelinating,Rituximab

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Geography plays a significant role in the development of countries and regions, including those within the G20.The G20 is an international forum consisting of 19 countries and the European Union, representing the world's major economies. While the G20 primarily focuses on economic and financial issues, geography indirectly influences the discussions and priorities within the group.It is important to note that while geography can influence development, it is not the sole determinant. Other factors such as governance, institutions, human capital, and economic policies also play crucial roles in shaping a country's development trajectory.The G20 includes countries from various regions, representing different geographical areas of the world. This diversity allows for a broader range of perspectives and experiences to be considered in discussions on global economic issues.Geography plays a role in shaping trade and investment patterns among G20 countries. Proximity, transportation networks, and regional economic integration can influence the flow of goods, services, and capital between member nations.The G20 recognizes the importance of infrastructure development for economic growth. Geography influences the infrastructure needs and challenges faced by different countries, such as improving transportation networks, energy systems, and digital connectivity.Geography is closely linked to environmental issues, including climate change, biodiversity, and natural resource management. G20 discussions often address these challenges, recognizing the need for sustainable development and global cooperation to address environmental concerns.Some G20 countries are more prone to natural disasters due to their geographical locations. Discussions within the G20 may touch upon disaster risk reduction, emergency response, and building resilience to mitigate the impact of natural hazards. The G20 aims to foster international cooperation and address global economic challenges, taking into account the diverse geographical contexts of its member countries.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

G20, Geography, Natural Resources, Governance, Development, Sustainability

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Creative Commons Attribution 4.0 and The Open Definition