Volume 12 | Issue 8 |

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Forced degradation studies, Deferasirox, method development/ Validation, RP-HPLC, Stability, Triethylamine.

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The homomorphic encryption approach enables computations to be carried out on ciphertexts, which is crucial as sharing data with untrusted parties during communication can expose it to potential attacks. Over time, researchers have proposed various methods for achieving homomorphic encryption, each demonstrating different levels of effectiveness and limitations in developing a secure system. This study aims to explore the theoretical foundations, practical applications, and implications of the Paillier cryptosystem in electronic voting systems. Through a comprehensive analysis and evaluation, we seek to elucidate the role of Paillier encryption in addressing the challenges and limitations of existing electronic voting systems, paving the way for more secure, transparent, and inclusive democratic practices.

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 Keywords

Homomorphic, Paillier Cryptosystem, Electronic voting

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Creative Commons Attribution 4.0 and The Open Definition

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The pervasive influence of social media has brought about an onslaught of perceived sociocultural norms, and by proxy, it has blurred the lines of decorum, identity, and information. The mirage of illusory perceptions has at its source human beings' need for constant validity. This paper delves into the multifaceted impacts of society's reliance on social media and online interaction on the real world and people's selves by examining the lack of identity, media literacy, and the steep decline in friendship in recent generations following millennials. One area of exploration is the influence of social media on identity formation. This paper analyses how the prevalence of personality tests shapes self-perception, and how the phenomena of Buzzfeed personality tests fade into the enigma of mental health questionnaires and the emerging culture of shallow self-diagnoses. Examining these phenomena aims to elucidate the metaverse's impact on an individual's self-perception. The paper further investigates society's overwhelming reliance on the digital realm, its inability to bounce back from the said reliance, and its associated desensitizations since COVID-19. The toxic culture of online solace is promoted by the media companies that host them. The main goal of social media platforms is to keep users on their apps for as long as possible to collect more data and to show more advertisements. Social media companies take advantage of triggering people's emotions to do so. Given that anger is the strongest emotion, social media algorithms try to provoke users by using content with high shock value. High shock value content is often intense and misleading, leading to identity politics and disturbing phenomena such as conspiracy theories and in extreme cases, abetting genocide. This paper seeks to unravel the implications of these phenomena on both online interactions and broader societal dynamics. In conclusion, this paper aims to investigate social media's manipulation of its users' neurochemical and psychological processes as a means of preserving user engagement on their platforms. It also examines the anthropological impact of social media in a modern post-covid era through an evaluation of the current status quo in corporate methodology, primal human behaviors, and the intersection of fast-paced metaverse and entertainment.

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Social Media, Psychology, Internet, Sociology, Mental Health, Algorithm, Validity, Perception

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Cryptocurrency is becoming more popular. The first cryptocurrency to be created was called Bitcoin. One of a most popular cryptocurrencies is bitcoin, and more study is being done on price prediction. Establishing a more plentiful index system and prediction model with an improved prediction effect is required to more accurately and efficiently forecast variations in the price of Bitcoin. Because of this, there is a significant risk for investors investing in Bitcoin because its price fluctuates every second. Interest in trading that is aided by artificial intelligence and machine learning has grown over the last several years. Hence, to forecast Bitcoin's price, it is recommended to use ML technologies. This paper aims to examine machine learning algorithms that have the highest predictive power for Bitcoin prices. This study addresses the critical need for accurate Bitcoin price prediction by integrating machine learning techniques with historical data. Through extensive experimentation and comparative analysis, the Extreme Gradient Boosting Classifier (XGBoost) emerges as the most effective model, achieving an impressive accuracy of 99.08%. This study helps traders in the unpredictable cryptocurrency market make better decisions by using powerful algorithms and preprocessing approaches

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Historical bitcoin price dataset, bitcoin, Machine Learning.

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This research paper undertakes a critical analysis of the legal protections afforded to men's rights in India, with a focus on gender equality. Despite the growing discourse on men's rights, the legal framework in India remains inadequate and scattered, leading to a lack of effective protection and recourse for men. This research follows a doctrinal research methodology, involving a comprehensive review of existing statutes, court decisions, and academic literature. The study will analyse key legal provisions, judicial pronouncements, and expert opinions to identify gaps and challenges in the current legal framework. The primary objective of this research is to critically examine the existing legal provisions related to men's rights in India, analyse their effectiveness, identify gaps and challenges, and explore the intersectionality of gender equality and men's rights. The study aims to provide recommendations for strengthening the legal framework to promote gender equality and protect men's rights. The research will be conducted through a thorough review of existing literature, statutes, and court decisions, followed by an in-depth analysis of primary and secondary sources. This research aims to contribute to the growing discourse on men's rights and gender equality in India, providing a comprehensive analysis of the legal framework and recommendations for reform. By exploring the intersectionality of gender equality and men's rights, this study seeks to promote a more inclusive and equitable understanding of gender and the law.

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Men's Rights, Gender Equality, Legal Protections, and Indian Legal Framework.

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Creative Commons Attribution 4.0 and The Open Definition

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: Skin Cancer Image Analysis Using Deep Learning Techniques presents a promising avenue for early detection. This study investigates the efficacy of machine learning algorithms in analyzing dermatological images to distinguish between benign and malignant lesions containing melanoma cells. The primary objective of this research is to detect skin diseases, emphasizing the importance of early detection given their severity. Early detection enables relatively easy diagnosis and treatment. Skin cancer often occurs on skin commonly exposed to the sun, but it can also develop in areas not typically exposed to sunlight. This paper provides a comprehensive review of skin disease detection using convolutional neural networks. The results are presented through various graphs, images, and tables to facilitate better understanding.

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Skin Disease, Deep Learning, Convolutional Neural Network, Datasets.

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As the world faces increasing environmental challenges, the need for sustainable natural resource management becomes paramount. Green finance mechanisms offer innovative solutions to address these challenges by promoting sustainable practices while ensuring economic viability. This research paper aims to explore the various green finance mechanisms that can be employed for effective natural resource management. The paper provides a comprehensive overview of different financial instruments, such as green bonds, sustainable investment funds, carbon pricing mechanisms, and payment for ecosystem services, along with case studies that highlight their successful implementation. By analysing these mechanisms, this paper proposes recommendations for policymakers and stakeholders to promote sustainable natural resource management and achieve a greener future.

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Green Finance mechanism, natural resource management, investment fund

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Creative Commons Attribution 4.0 and The Open Definition

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This study was conducted to assess the strengths and weaknesses of the Simplified Tax for Small Taxpayers (ISPC). This study also tries to analyses to what extent after 13 years the political reasons that lead to the establishment of ISPC regime were accomplished or not since its entry into force. The study adopted Desk Review Study method conducted at Mozambique Revenue Authority. The paper has identified problems caused by taxpayers shift from others tax to the ISPC that tax erosion, fragility in monitoring the taxpayer's compliance, difficulties to calculate the trimestral volume of sales and related tax due. The study has used both primary and secondary sources of data. Using random sampling method 30 top and lower managers of the ISPC were selected from a total population of 120 officers, to share their expertise and experience with 96% return rate. The major findings are: The ISPC need to revised and improved in order to target the real segment of small taxpayers, lower the threshold limit, allow monthly payment of the tax, fixed amount of tax irrespective of the volume of sales, timely filling of the monthly volume of sales.

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Mozambique Revenue Authority, Simplified Tax for Small Taxpayers, (ISPC)

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Leaf disease detection is an important task in crop management and can be done with the help of Convolutional Neural Networks (CNNs). CNNs are a type of artificial neural network designed specifically for image recognition tasks such as detecting patterns in images. In this paper, we propose a CNN-based method for plant disease detection which uses an available dataset to extract features from an image of a plant and then classifies it into one or more disease classes. We also found that our model was able to accurately identify subtle differences between diseased plants compared to healthy ones - something traditional methods were not capable of doing on their own. The proposed method can be used for real-time use in crop management as it helps reduce crop loss and increase yields by detecting diseases early before they spread further.

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Leaf disease Detection, Crop Management, CNN, Image Recognition

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The hassle of ultimate reality is one of the most important problem in the archives of Philosophy. Each religious group follows the code of habits and beliefs prescribed in their respective religion. In this paper we will deal with comparative discussion about the concept of the God of the two Indian saint Philosophers Muhammad Iqbal and Sarvepalli Radhakrishnan. Radhakrishnan represents the Hinduism and Iqbal represents the Islam . The integral motive of writing this article is to find out the extensively time-honored dialogues and concept of the God of two said philosophers. Their questioning of God hint our positive factors of have confidence which would lead ultimately to interreligious common platform. So with strategies we have considered the concept of God in Hinduism and Islam from authentic sources. When taking of a Unitarian concept of God , there is absolutely one Supreme Deity in both the metaphysical world views. Be it the Brahman of Vedanta or Allah of Islam, it is one and the equal thing. People associated to each and every the religions ought to apprehend this which have to raise them close. It is proper that there are pantheistic inclinations in Hinduism on the other hand a huge extent of Sufis or Muslim mystics in Islam in addition believed in some form of pantheism which is seen as Wahdat ul Wujood. Henotheism is moreover a vicinity of Hinduism which performance revering or worshipping in lower deities with the agree with in a Absolute Divinity. But most of the Hindus understand that these lesser gods and goddesses are manifestations of the One Divine Being. And we hope our research will carry each and every the adherents close.

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God, Absolute, Hinduism, Islam, Faith etc .

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Creative Commons Attribution 4.0 and The Open Definition