Volume 13 | Issue 10 |

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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drug development, precision medicine, digital twin, computational modeling, and in silico pharmacology.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Licence: creative commons attribution 4.0

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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

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Social Commerce, Consumer Behavior, Youth, Hyderabad, Instagram, Trust, Purchase Intention

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Creative Commons Attribution 4.0 and The Open Definition

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This paper presents the design and implementation of an AI-Powered Virtual Desktop Assistant that enables intelligent automation and natural voice interaction for a seamless user experience on desktop environments. The system leverages Python-based technologies, including speech recognition, text-to-speech synthesis, and natural language processing (NLP), to interpret user commands and perform automated tasks such as application control, information retrieval, and system operations.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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AI assistant, voice interaction, intelligent automation, speech recognition, natural language processing, Python, desktop assistant, machine learning, human-computer interaction, virtual assistant, task automation, context awareness, voice command processing, artificial intelligence, chatbot integration

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Creative Commons Attribution 4.0 and The Open Definition

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The ethical ramifications of AI and digital tools' ability to alter artistic styles, or, to put it simply, the quick and rapid rise of advanced software and its potential moral consequences, have put artistic creations like Studio Ghibli's popular artwork and stories at risk of being fully consumed by the general public in a matter of minutes. Unquestionably, software can repeat itself in any kind of art, particularly in the modern digital environment. However, the question remains whether it can substitute the human drama's philosophical currents and emotional touch, which are unique to Hayao Miyazaki's storytelling style. Miyazaki's actual artwork is trending throughout the entire technology sector. The concern is whether AI can replace the uniqueness of genuine art forms and their copyrights, even though it is undeniable that AI and digital technologies can replicate any style of art. A more balanced approach is recommended in the paper's conclusion, including the adoption of digital ethical principles, stringent intellectual property laws, and respect for the originality of artistic creations. Instead of eradicating such a distinctive art style, the most crucial thing is to honor and promote Studio Ghibli's conventional human art depiction.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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digital art, AI tools, creativity, technology, intellectual property rights, copyright law, fair use doctrine, cultural heritage protection, Hayao Miyazaki, Studio Ghibli, and technology.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Background: The energy expenditure in our body is done by mainly four mechanisms. One among these is Non-Exercise Activity Thermogenesis (N.E.A.T.). Energy expenditure for any activity that is not intentional exercise, such as walking, fidgeting and maintaining posture is included in non-exercise activity thermogenesis (N.E.A.T.). Understanding N.E.A.T. is vital for combating sedentary lifestyle, managing obesity and metabolic disorders and enhancing long-term energy balance and weight maintenance. Objectives: Compare and integrate the concept of Non-Exercise Activity Thermogenesis into Ayurveda. Materials and Methods: Literary searches were conducted using classical text in Ayurveda and contemporary books, Articles and many other sources. Conclusion: N.E.A.T. is regulated mainly by Central Nervous System, Hormones and Skeletal muscles. Vata dosha especially Vyana Vata is responsible for Non-Exercise Activity Thermogenesis. So likewise Vata Prakriti people shows higher NEAT than other Prakriti types.

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Creative Commons Attribution 4.0 and The Open Definition

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Non-Exercise Activity Thermogenesis (N.E.A.T.), Dosha, Agni.

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Creative Commons Attribution 4.0 and The Open Definition

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In the competitive yarn industry, timely and informed decision-making is critical for operational efficiency and market responsiveness. This paper presents the development of an interactive dashboard that integrates production, inventory, and sales data to provide real-time insights for yarn manufacturers. Using tools like Power BI and Excel, the dashboard visualizes key performance indicators, identifies high-demand products, monitors stock levels, and tracks production efficiency. The proposed system enables managers to make data-driven decisions, optimize resources, and improve overall business performance.

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Creative Commons Attribution 4.0 and The Open Definition

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Threads of Trade, Yarn Dashboard, Business Intelligence, Yarn Import Analysis, Textile Industry, Data Visualization, Trade Insights, Supplier Analysis, Importer Performance, Shipment Mode, CIF Value, Tariff Impact, Exchange Rate, Power BI, Supply Chain Analytics.

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Creative Commons Attribution 4.0 and The Open Definition

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Purpose: This paper examines how Indian firms adopt HR analytics, the barriers that impede maturity, and the extent to which analytics contributes to HR and business decision-making. Grounded in the Resource-Based View, Human Capital Theory, Dynamic Capabilities, Diffusion of Innovation, and Institutional Theory, it positions HR analytics as a potential strategic lever rather than a reporting tool. Design/methodology/approach: A quantitative, cross-sectional survey instrument was developed to measure adoption maturity (descriptive -> prescriptive), outcomes in talent acquisition, training needs identification/ROI, engagement, and decision-making, alongside organisational and ethical barriers. A pilot (n ? 30) was conducted to pre-test item clarity, feasibility, and preliminary patterns; the full doctoral study targets ~350-400 responses for inferential analysis. Findings (pilot): Most organisations remain at descriptive analytics, with limited diagnostic use and rare predictive/prescriptive applications. Recruitment emerges as the common entry point (time-to-hire, sourcing mix, offer acceptance), while training ROI and engagement-to-retention linkages are underutilised. Key barriers include fragmented systems, skills gaps, cultural reliance on intuition, leadership hesitation, and heightened governance requirements under India's DPDP Act (2023). Sectoral differences are evident: IT/ITeS leads; SMEs lag due to cost and capability constraints. Practical implications: A staged roadmap is proposed--data foundations, descriptive dashboards, diagnostic analyses, predictive pilots, and prescriptive interventions--enabled by leadership sponsorship, HR-analytics upskilling, integration of HRIS/ATS/payroll/performance data, and privacy-preserving governance. Originality/value: The study contributes India-specific empirical insight, a validated survey instrument for larger-scale testing, and a theory-informed framework that links adoption maturity to measurable HR and business outcomes.

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Creative Commons Attribution 4.0 and The Open Definition

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HR analytics; People analytics; India; Adoption maturity; Barriers; Talent acquisition; Training needs identification; Training ROI; Employee engagement; Evidence-based HR; SMEs; DPDP Act (2023); Resource-Based View (RBV); Dynamic capabilities.

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Creative Commons Attribution 4.0 and The Open Definition

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The widespread creation of high-quality AI-generated imagery poses significant challenges to digital trust, facilitating new forms of misinformation and copyright violation. Existing methods for identifying such content are often inadequate, as they can be easily circumvented through simple image edits. This paper confronts this critical gap by proposing a novel, dual-layer framework for reliably marking and verifying AI-generated images. Our solution integrates advanced detection capabilities with standardized provenance tracking to establish a highly resilient authentication system. Experimental results confirm that the proposed approach substantially surpasses current methods in maintaining detection accuracy through various image manipulations. This work demonstrates that a combined strategy is essential for ensuring transparency and accountability in the digital media ecosystem.

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Creative Commons Attribution 4.0 and The Open Definition

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AI-Generated Media, Digital Watermarking, Content Provenance, Misinformation, Trust and Safety, Image Forensics.

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Creative Commons Attribution 4.0 and The Open Definition

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The present study seeks to identify the website features that contribute to e-cart abandonment across different online shopping environments. Data were collected from 1,074 millennial and generation Z shoppers in India and analyzed using descriptive statistics. The findings reveal that restrictive return policies, intrusive visual elements, and lengthy checkout processes are the most influential factors affecting e-cart abandonment, while inadequate product information and poor visual design exert minimal impact on e-cart abandonment. The findings underscores that modern online shoppers prioritize transactional ease, transparent policies, and minimal cognitive load over visual aesthetics or product information adequacy. The study provides actionable insights for e-retailers to enhance user experience by simplifying checkout processes, ensuring clear refund and return policies, and minimizing intrusive design elements.

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Creative Commons Attribution 4.0 and The Open Definition

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E-cart abandonment; generation Z; millennial; online shopping platforms; website features

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Creative Commons Attribution 4.0 and The Open Definition