Volume 13 | Issue 10 |

 Abstract

Electronic voting systems face challenges such as security vulnerabilities, lack of transparency, and trust deficits. This paper proposes a blockchain-based voting system to address these issues by leveraging the decentralized, immutable, and transparent nature of blockchain technology. The proposed system ensures voter anonymity, vote integrity, and auditability while maintaining scalability. A detailed methodology, including smart contract design and cryptographic techniques, is presented. The system is implemented using Ethereum and evaluated for security, efficiency, and usability. Results demonstrate that the proposed system enhances trust and security in electronic voting. Future enhancements include scalability improvements and integration with biometric authentication.

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 Keywords

Blockchain, Electronic Voting, Smart Contracts, Security, Transparency

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 Abstract

Marketing is functional area of management and it becoming increasingly important as compared to other field, in production management financial, personnel management and research and development. The increasing significance of marketing is the major reason the marketing information, communication, indoor advertising, outdoor advertising, online advertising, e-advertising digital advertising are gained the present pivotal place of importance of advertising in all kinds of goods and services to the brand effects are related to the women readymade garments in Tiruchirapalli city. Traditional mass media channels that comprise channels, television, print media, radio, tex, wall board handwritten information , personal selling (AIDAS), publicity etc are covered to the all consumer in different kinds of good and services. Whereas digital is the buying and selling goods and services using the internet, mobile networks and commerce infrastructure of company. The digital marketing promotional mix is a good conglomeration of digital advertising, personalized selling, and digital promotion through using digital capons, sweep taker, contests, interactive consumer website base on selling, online display advertisements, digital online catalogue distribution and online promotional letta. In this study has been made to attempt the advertising effects on brand preference of women readymade garments traditional marketing and digital marketing in Tiruchirapalli Town.

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 Keywords

Traditional and Digital marketing effects, advertising pattern, Brand preference, factors of influence, Attribute, Information, Perception towards public.

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Ocular drug delivery is one of the most challenging tasks faced by Pharmaceutical researchers. Major barriers in ocular medication are the ability to maintain a therapeutic level of the drug at the site of action for a prolonged duration. The ophthalmic preparations are available as sterile, buffered, isotonic solution. Several types of dosage forms are applied as the delivery system for the ocular delivery of drugs. The most prescribed dosage form is the eye drop solution as drops are easier to administer. Suspensions, gelled systems, ointment are also used for prolonged therapeutic action. Solvent casting technique was used to prepare the ocuserts. Ten formulation were prepared by using propranolol drug, cocos nucifera as biopolymer . The ocuserts were physically examined for colour and various other physical parameters were evaluated. Based on the physical parameters further studies were carried out like stability, invitro release studies. The therapeutic efficacy of an ocular drug can be greatly improved by prolonging its contact with the corneal surface. Newer ocular drug delivery systems are being explored to develop extended duration and controlled release strategy.

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DESIGN AND EVALUTION OF PROPRANOLOL LOADED BIO FLEXI OCUSERT USING CUCUMIS SATIVUS BIOPOLYMER

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This paper examines the shift from traditional Search Engine Optimization (SEO) toward AI-driven optimization models such as Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), and Artificial Intelligence Optimization (AIO). With the rise of generative and conversational search technologies like Google SGE and ChatGPT, users now receive synthesized answers instead of browsing search results. The study uses a qualitative literature review and comparative framework to evaluate how these models affect digital marketing strategies, user behavior, and content creation. Findings show that AI-powered engines prioritize semantic accuracy, structured data, and authoritative content. The paper identifies best practices for marketers to adapt in this new search environment.

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SEO, GEO, AEO, AIO, Digital Marketing, AI Search, Generative Search, Content Optimization

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This article provides a comprehensive examination of Cauchy's principle in the context of special and general relativity, tracing its origins from classical partial differential equations to its modern role in the formulation of deterministic spacetime evolution. We review the mathematical structure of the Cauchy problem, including PDE classification, constraint equations, and well-posedness criteria, before applying these concepts to relativistic field theories. In special relativity, the principle manifests in Lorentz-invariant hyperbolic systems, ensuring consistent propagation of initial data across inertial frames. In general relativity, the interplay between the Einstein field equations, foliation techniques, and gauge choices defines a more intricate Cauchy problem, where spacetime geometry itself is a dynamical variable. We analyze the ADM decomposition, constraint propagation, and the implications of local versus global hyperbolicity, emphasizing the physical significance of domains of dependence and Cauchy horizons. The discussion connects these mathematical results to the principles of relativity, determinism, and cosmic censorship, situating Cauchy's principle at the core of modern theoretical physics.

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 Keywords

Cauchy problem; relativity; hyperbolic partial differential equations; initial value formulation; ADM formalism; constraint equations; global hyperbolicity; Cauchy horizons; determinism; cosmic censorship

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Artificial Intelligence (AI) has evolved into a transformative technology capable of analyzing and forecasting human behavior across multiple sectors--ranging from marketing and healthcare to social media, security, and psychology. With access to extensive datasets and powerful learning algorithms, AI systems can recognize behavioral trends, predict future actions, and even personalize responses with remarkable precision. This study reviews the current progress in AI-driven behavior prediction, focusing on methods like neural networks, natural language processing, and behavioral analytics. It also examines their effectiveness, ethical considerations, and limitations. While AI demonstrates high accuracy in certain scenarios, issues related to bias, privacy, model transparency, and human unpredictability continue to restrict absolute precision. The research concludes by discussing future prospects and the importance of maintaining ethical, explainable, and human-centered AI development. Keywords: Artificial Intelligence, Behavioral Prediction, Machine Learning, Neural Networks, Data Privacy, Ethics in AI, NLP, Human-Centric Systems, Algorithmic Bias, Predictive Analytics.

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Artificial Intelligence (AI), Human Behavior Prediction, Machine Learning, Behavioral Analytics, Neural Networks, Data Privacy, Predictive Modeling, Ethics in AI, Natural Language Processing (NLP), Human-Centric AI, Algorithmic Bias, Decision-Making.

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Social media influencer marketing has emerged as a powerful strategy for brands to connect with target audiences through trusted voices in the digital space. By leveraging influencers--individuals with established credibility and substantial followings on platforms such as Instagram, YouTube, TikTok, and X (formerly Twitter)--companies can enhance brand awareness, drive engagement, and influence consumer purchasing behaviour. This marketing approach thrives on authenticity, relatability, and the influencers' ability to create persuasive, niche-specific content. As traditional advertising loses effectiveness among digital-native consumers, influencer marketing provides a more personalized and interactive alternative. However, challenges such as influencer fraud, ethical concerns, and measuring return on investment (ROI) continue to evolve. This study explores the dynamics, benefits, and limitations of influencer marketing in the modern digital ecosystem, highlighting its growing role in shaping brand strategies.

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Relatability, Influencer Marketing, ethical concern

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Creative Commons Attribution 4.0 and The Open Definition

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This paper examines the integration of sustainability within digital marketing, with a focus on identifying and evaluating green marketing strategies in the online environment. It explores how businesses can mitigate the environmental footprint of their digital operations while effectively integrating eco-friendly messaging into digital campaigns. Utilizing a mixed-methods approach combining a consumer survey (n=500) and multiple case studies, this research identifies a significant consumer willingness to reward authentic green strategies and penalize greenwashing. The findings suggest that sustainability in digital marketing is not just a trend but a strategic necessity driven by increasing consumer expectations, regulatory pressures, and the urgent need for environmental preservation. The study concludes that a framework combining technological efficiency, transparent communication, and ethical data practices is essential for credible sustainable digital marketing.

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Sustainability, Digital Marketing, Green Marketing, Online Advertising, Eco-Friendly Strategies, Consumer Awareness, Greenwashing, Carbon Footprint, Stakeholder Theory, Transparency

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This review explores the dual capabilities of Oracle Cloud's BI Publisher and Oracle Transactional Business Intelligence (OTBI), evaluating their roles in enterprise reporting and analytics. As organizations migrate to cloud-native ecosystems, real-time analytics and formatted reporting have become integral to data-driven decision-making. OTBI empowers end-users with self-service analytics while BI Publisher supports pixel-perfect document generation. Through comparative performance studies, user satisfaction surveys, and architectural modeling, this paper reveals the strengths, limitations, and applications of each tool. It further proposes a theoretical framework and experimental insights to assist IT leaders in choosing the appropriate tool based on complexity, data latency needs, and reporting frequency. Future research opportunities include AI-enhanced analytics, cross-platform integration, and adaptive user experience design to address existing gaps in scalability, visualization, and interoperability.

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Creative Commons Attribution 4.0 and The Open Definition

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Oracle Cloud, BI Publisher, OTBI, Business Intelligence, Cloud ERP Reporting, Enterprise Analytics, Real-Time Analytics, Oracle Fusion Applications, Data Visualization, Report Automation.

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Electroconvulsive therapy (ECT) remains an effective yet controversial psychiatric treatment. This study assessed the knowledge and attitude of caregivers of psychotic patients toward ECT and evaluated the effectiveness of psycho education. An evaluative quasi-experimental study was conducted among 80 caregivers (40 IPD and 40 OPD) using a semi-structured questionnaire and Likert scale. Psycho education was provided to the IPD group, and post-test data were collected after seven days. Findings revealed significant improvement in knowledge (t=14.34) and attitude (t=9.49) in the IPD group, while minimal change was observed in the OPD group. The correlation between knowledge and attitude in the IPD group was strong (r=0.81). The study concluded that psycho education effectively improved caregivers' knowledge and attitude regarding ECT.

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 Keywords

Psycho education, Knowledge, Attitude, Electroconvulsive Therapy (ECT), Caregivers, Mentally Ill, Effectiveness.

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