Search

This research paper explores the evolution of voting systems, assessing vulnerabilities in traditional methods and investigating blockchain technology as a solution. Traditional voting systems encounter challenges concerning security, transparency, and accessibility, prompting a transition towards blockchain-based online voting. Blockchain, originating from cryptocurrencies, decentralizes control, thereby enhancing transparency, integrity, and security in elections. Real-world case studies from Estonia and West Virginia offer insights into implementation and successes. Ethical considerations, including privacy and consent, alongside societal impacts like inclusivity and democratization, are scrutinized. The proposed blockchain-based voting system prioritizes decentralization, tamper resistance, and interoperability. Security measures incorporate cryptographic techniques and multi-factor authentication. Transparency is assured through a publicly accessible blockchain ledger, facilitating an auditable voting process. The paper addresses challenges like voter accessibility and election anonymity, proposing mitigation strategies. Future directions entail integrating blockchain with AI and machine learning for interoperability and standardization. Collaboration among policymakers, technologists, and researchers is pivotal for advocating secure, transparent, and accessible blockchain-based voting systems, with the goal of fostering globally participatory elections. [ABSTRACT FROM AUTHOR]

Byline: Rohit. Bhatia, Partha. Haldar, Inder. Puri, M. Padma Srivastava, Sanjeev. Bhoi, Menka. Jha, Anupam. Dey, Suprava. Naik, Satyabrata. Guru, Mamta. Singh, V. Vishnu, Roopa. Rajan, Anu. Gupta, Deepti. Vibha, [...]

Through social media platforms and the internet, the world is becoming more and more connected, and producing enormous amounts of data. Also, the texts are collected from social media, newspapers, user reviews of products, company press releases, etc. The correctness of the classification is mainly dependent on the kind of words utilised in the corpus and the features utilised for classification. Hence, due to the increasing growth of text data on the Internet, the accurate organisation and management of text data has become a great challenge. Hence, in this research, an effective Invasive Weed Tunicate Swarm Optimization-based Hierarchical Attention Network (IWTSO-based HAN) is implemented for achieving categorisation of text. Here, the features are mined from the text and thereby the optimal features are acquired to perform the classification strategy. The incorporation of parametric features of each optimisation ensures the proposed method to increase the convergence of global solutions by improving the categorisation effectiveness. The proposed method obtained better performance for text classification with measures, like accuracy, True Positive Rate (TRP), True Negative Rate (TNR), precision, and False Negative Rate (FNR) with values of 92.4%, 92.4%, 94.1%, 95.4%, and 0.0758. [ABSTRACT FROM AUTHOR]

Polysaccharide-based nanoparticles have garnered significant attention in recent years due to their unique properties and diverse applications in the biomedical field. These nanoparticles are fabricated from natural polysaccharides, such as chitosan, alginate, cellulose, starch, and hyaluronic acid, which offer inherent biocompatibility, biodegradability, and low toxicity, making them attractive candidates for drug delivery, imaging, and tissue engineering. This abstract provides a comprehensive overview of the synthesis, properties, and biomedical applications of polysaccharide-based nanoparticles. The synthesis methods encompass both chemical and physical approaches, including emulsification, nanoprecipitation, ionic gelation, and self-assembly techniques. These methods allow for precise control over nanoparticle size, shape, and surface characteristics, which directly impact their functionality and performance in various applications. Furthermore, polysaccharide-based nanoparticles find utility in medical imaging, providing contrast agents for enhanced diagnostic accuracy and disease monitoring. Additionally, they hold immense potential in tissue engineering, facilitating scaffold fabrication and promoting tissue regeneration through controlled release of growth factors and bioactive molecules. [ABSTRACT FROM AUTHOR]

The use of Spinal Anaethesia in Pediatric patient is still practiced with apprehension at most of the centers. With increasing reservations of practicing general anaestheia with respect to later cognitive functions, spinal anaesthesia is definitely a better alternative. We share the management of two anticipated difficult airway cases using the neuraxial block. [ABSTRACT FROM AUTHOR]