Volume 12 | Issue 8 |

 Abstract

This study investigates the mediating effect of service quality on the relationship between perceived ease of use and e-government adoption in Jordan. While e-government initiatives have gained traction globally, their success largely depends on citizens' willingness to adopt these digital services. This research addresses a critical gap in understanding the complex interplay between technological and service-related factors influencing e-government adoption in developing countries. Employing a quantitative approach, we surveyed 404 Jordanian citizens using a structured questionnaire based on the Technology Acceptance Model (TAM) and SERVQUAL framework. Structural Equation Modeling (SEM) was utilized to analyze the data and test the hypothesized relationships. Our findings reveal that service quality significantly mediates the influence of perceived ease of use on e-government adoption in Jordan. Specifically, perceived ease of use positively affects service quality (? = 0.62, p < 0.001), which in turn positively influences e-government adoption (? = 0.58, p < 0.001). The direct effect of perceived ease of use on adoption remains significant but diminished (? = 0.31, p < 0.01) when accounting for the mediating role of service quality, indicating partial mediation. These results underscore the importance of considering both technological usability and service quality aspects in e-government implementation strategies. The study contributes to the growing body of literature on e-government adoption in developing countries and offers practical implications for policymakers and system designers in Jordan and similar contexts. By highlighting the crucial role of service quality as a mediator, this research suggests that governments should focus not only on creating user-friendly interfaces but also on ensuring high-quality service delivery to promote widespread adoption of e-government services.

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 Keywords

E-government adoption, Service quality, Perceived ease of use, Technology Acceptance Model (TAM), Mediating effect

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Abstract- Swami Vivekananda is a great philosopher, educationist and thinker of India. He dedicated his whole life for the upliftment of humanity. With his enthusiastic thoughts he laid emphasis on the amelioration of body and soul for human excellence. The central theme of his inspiring speeches for the whole world was man- his growth, development and fulfillment. Work and more work to strive for excellence of body, mind and spirit were conspicuous in all his teachings and preaching. He is famously described as the 'Patriotic Saint of India'. He appeared on the scene when was overwhelmingly struggling to break free from the throes of British Rule. This paper attempts to analyze Vivekananda's one of the most inspired and motivated speeches "India - Our Motherland" from the lens of Patriotism and Spiritual perspective.

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Keywords- Patriotism, Spirituality, Unity, Indian Value System, Education.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: Feminism, a movement advocating for gender equality, has undergone significant transformations since its inception. This paper explores the three waves of feminism, their respective theories, and the impact on society. It examines the historical context, key figures, and contributions of each wave, as well as the intersections with other social movements.

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Creative Commons Attribution 4.0 and The Open Definition

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Feminism, Theory, Criticism

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Green Finance mechanism, natural resource management, investment fund

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Creative Commons Attribution 4.0 and The Open Definition