Volume 14 | Issue 3 |

 Abstract

The rapid growth of artificial intelligence (AI) systems and automated web crawlers has created significant challenges for website owners, including uncontrolled data scraping, server overload, and lack of fair compensation for content usage. Existing crawler control mechanisms such as robots.txt and IP blocking are limited and ineffective against advanced AI crawlers. This project addresses these challenges by proposing a secure infrastructure to regulate AI web crawlers while enabling monetization of web access, ensuring ethical and controlled data consumption. The proposed system introduces an authentication and access control layer that verifies crawler identity, enforces usage policies, and applies rate limiting based on predefined rules. Each crawl request is tracked and validated through a pay-per-crawl mechanism, allowing website owners to charge AI crawlers for accessing their content. Secure verification methods and transaction logging ensure transparency, prevent misuse, and protect both crawler operators and content providers. By combining regulation and monetization into a single framework, this project transforms traditional web crawling into a structured and accountable process, promoting a sustainable, secure, and mutually beneficial ecosystem for AI web crawling.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI Web Crawlers, Web Crawling Regulation, Data Monetization, Secure Infrastructure, Crawler Authentication, Access Control, Pay-Per-Crawl Model, Rate Limiting, Policy Enforcement, Ethical Data Usage, Web Data Protection, Usage Monitoring, Micropayments, Website Security, API-Based Access, Transparency and Accountability, Crawler Behaviour Analysis, Data Licensing, Digital Resource Protection, Sustainable AI Ecosystem.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Despite the significant application of Artificial Intelligence (AI) in generating color palettes for digital communication, the emotional and psychological outcomes of these AI-selected colors remain largely unexplored (Guo et al., 2023; Rishu & Kukreja, 2025). This systematic review is a part of the effort to find out the influence of AI-driven color selection methods on the emotional responses of humans in digital climate environments. Peer-reviewed studies published between 2020 and 2025 were identified across major scientific databases, focusing on research that links AI-based colour recommendation to emotional responses such as mood, arousal, and valence, etc. The quality of the studies and the eligibility criteria were judged based on predefined systematic review guidelines. The findings clarify in what ways AI-selected colors differ from those chosen by humans in terms of creating emotional experiences, with an emphasis on methodological difficulties and locating gaps for the upcoming studies. Hence, this review is expected to facilitate the development of a more human- centered and ethically sound approach to AI use in visual ?????design.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, colour psychology, emotional response, colour palette generation, systematic review.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The current study was attempted to develop silver nanoparticles from orange peel extract designed for the management of lung cancer. Silver nanoparticles were prepared using orange peel extract and nanoparticles forming material in an organic solvent to form an effective solution. The nanoparticles were formed by the solvent evaporation method. Nanoparticles are extremely small units whose size is articulated in nano-meters 10-9. To transport medications to the target region, nanoparticles (NP) play a crucial function and can conjugate with different pharmaceuticals in a variety of ways. The prepared silver nanoparticle were characterized by UV spectroscopy, FTIR, XRD, SEM and anti-cancer activity. Orange peel silver nanoparticles exhibit satisfactory parameters results which shows this nanoparticle can be used for anticancer activity and both the compounds have good compatibility and effectiveness in the cancer cells and sustainability for the growth of the cancer. Silver nanoparticles are one of the most prominent compounds for cancer activity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AgO nanoparticles, ,UV, FTIR, XRD, Antibactrial Studies

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The relationship between interest rates and stock returns is a basic problem in financial economics, as it captures the interaction between monetary policy and stock market performance. This paper offers a cross-country analysis of the theoretical basis and empirical evidence for the relationship between interest rates and stock returns. Based on asset pricing theory and monetary transmission mechanisms, the analysis describes how interest rate changes affect stock prices via discount rate changes, corporate cash flows, portfolio rebalancing, and capital flow channels. The analysis contrasts the empirical evidence for developed and emerging markets, emphasizing the similarities in the negative relationship between interest rates and stock returns, while focusing on the differences in magnitude, volatility, and transmission mechanisms. The evidence indicates that developed markets display more stable and predictable responses to interest rate changes because of their more developed financial structures and sounder institutional frameworks, while emerging markets display greater responsiveness to both domestic and international interest rate shocks. The paper concludes that while the theoretical frameworks offer a consistent basis, cross-country differences are primarily explained by financial development, market integration, and macroeconomic stability.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Interest Rates; Stock Market Returns; Monetary Policy; Cross-Country Analysis; Asset Pricing; Financial Markets; Monetary Transmission Mechanism; Capital Flows

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Endometriosis is a gynecological disorder, reduces quality of life. It is approached through the lens of Ayurvedic Tridosha principles, offering a comprehensive understanding of its pathogenesis, symptoms, and management. This article explores the detail interplay of Vata, Pitta, and Kapha in endometriosis, highlighting the significance of doshic imbalance in the development and progression of the condition. By understanding the underlying doshic dynamics, Ayurvedic interventions can be tailored to restore balance and reduces symptoms, promoting overall well-being.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Endometriosis, Tridosha, Vata, Pitta, Kapha, Ayurveda, Ashayapkarsh Gati, Retrograde flow.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The expansion of social networking platforms has fundamentally reshaped the way travel decisions are formed, particularly among younger consumers. Unlike traditional tourism promotion that relied on brochures, television campaigns, or travel agents, modern destination discovery increasingly occurs through algorithm-driven digital feeds. This study investigates how visual social media platforms influence travel intention among Generation Z consumers and evaluates the contribution of influencer credibility and AI-enabled customer interaction systems in strengthening tourism engagement. A descriptive research design was adopted, and primary data were collected from 15 respondents aged between 18 and 27 years through a structured questionnaire. In addition, a case-based assessment of Pista House was conducted to examine the impact of conversational digital automation. The findings reveal that visually dominant platforms significantly shape destination awareness, with 85% of respondents identifying Instagram as their primary inspiration source. Automation-based engagement further demonstrated measurable improvements in customer responsiveness and conversion. The study concludes that tourism enterprises must reposition themselves within a digitally immersive ecosystem centered on visual narratives, social validation, and real-time interaction.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social Media Influence, Tourism Marketing, Generation Z, Digital Engagement, Influencer Credibility, AI Automation, Travel Intention.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

We propose a machine learning approach to leverage past vehicle sales data to forecast the approximate value used cars will fetch when they are resold. The model employs Linear Regression and Random Forest algorithms to make predictions based on key variables such as the car's age, mileage, fuel type, engine capacity, transmission type, and make. A comprehensive set of experiments is carried out to assess the effect of various variables on the accuracy of the predictions, as well as to compare the performance of the two models with different data scenarios. The experiment outcomes clearly show that the Random Forest model performs better than the Linear Regression model by accounting for the non-linear relationships that exist in practical automobile sales data.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Used Car Price Prediction, Machine Learning, Linear Regression, Random Forest, Data Analytics, Automotive Industry.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mutrakrucchra is an important urinary disorder described in Ayurveda, characterized by painful, difficult, or burning micturition. In children, Mutrakrucchra can be clinically correlated with urinary tract infection (UTI), which is one of the most common bacterial infections in the pediatric age group. Pediatric UTIs may lead to significant morbidity, recurrent infections, and long-term renal complications if not diagnosed and managed appropriately. Ayurveda explains Mutrakrucchra as a condition caused by vitiation of mainly Vata and Pitta dosha, along with involvement of Mutravaha srotas. Nidana such as improper dietary habits, inadequate fluid intake, suppression of natural urges, infections, and poor hygiene play a significant role in children. Classical Ayurvedic texts describe various types of Mutrakrucchra along with their lakshana, samprapti, and chikitsa principles. Management includes Nidana parivarjana, Shamana therapies using Mutrala, Shothahara, and Pittashamaka drugs, along with supportive dietary and lifestyle measures. This review article aims to compile and analyze classical Ayurvedic concepts of Mutrakrucchra in children and correlate them with modern understanding of pediatric urinary tract infections. An integrative approach based on Ayurvedic principles may help in effective management, prevention of recurrence, and improvement of overall urinary health in children.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mutrakrucchra, Urinary Tract Infection, Children, Pediatric UTI, Mutravaha Srotas, Ayurveda

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines how the successful commercialization of self-driving vehicles can significantly improve human convenience and safety by transforming transportation systems. It systematically reviews four core technological pillars--vehicle navigation, path planning, environmental perception, and vehicle control--highlighting their roles in enabling autonomous operation. The paper also surveys leading research organizations and institutions worldwide, providing a global perspective on development efforts. In addition, it explores ongoing debates surrounding autonomous vehicles, such as safety, ethics, and regulation, while forecasting future trends in the field. Overall, the work offers a comprehensive overview of current advancements, identifies the state-of-the-art in autonomous driving technology, and consolidates research progress and institutional contributions in this rapidly evolving domain.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Self-driving cars, Autonomous vehicles, Vehicle navigation, Path planning, Environment perception, Vehicle control, Sensor fusion, Artificial intelligence, Intelligent transportation systems, Automation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Amitav Ghosh's The Glass Palace (2000), set in late colonial Burma during the upheavals of World War II, has frequently been viewed through the prism of nationalist awakening, with Arjun's trajectory interpreted as a move from imperial devotion to anti-colonial conscience. Such interpretations, however, tend to prioritise intellectual transition while ignoring the institutional and emotional roots of his previous loyalty. To fill this gap, the current study examines how Arjun's loyalty is fostered by military discipline and maintained by affective attachment. Drawing on Michel Foucault's concept of disciplinary power and Sara Ahmed's theory of affective economies, the study contends that Arjun's affiliation with the British Empire is influenced by professional ethos, institutional regulation, and an emotional stake in honour and recognition. His wartime disillusionment is thus interpreted not as a sudden ideological conversion, but as the collapse of a disciplinary-affective framework that had organised his sense of self. This work contributes to postcolonial literary scholarship by focusing on the formation and destabilisation of colonial-military subjectivity, providing a more nuanced understanding of imperial devotion and its fragility.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Imperial loyalty; Military discipline; Affective attachment; Colonial subjectivity; Nationalism

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Creative Commons Attribution 4.0 and The Open Definition