Volume 13 | Issue 10

 Abstract

The proliferation of latency-sensitive, mission-critical applications has exposed the limitations of conventional BGP routing in meeting stringent service-level agreements (SLAs) within modern Software-Defined Wide Area Networks (SD-WANs). This review synthesizes a decade of research on artificial intelligence (AI) techniques applied to BGP route optimization in SLA-driven SD-WAN architectures. We examine supervised learning, deep reinforcement learning, multi-agent systems, and graph neural networks, alongside predictive analytics for proactive SLA maintenance. Experimental evidence from both simulation and real-world testbeds indicates that AI-augmented approaches improve SLA compliance by 10-22 percentage points over default BGP and 5-16 points over heuristic traffic engineering, while reducing route churn and operational costs. Key challenges include ensuring trustworthy AI, handling cross-domain optimization, safeguarding against adversarial threats, and standardizing interoperability. Future research directions emphasize explainable AI, federated optimization, carbon-aware routing, and integration with intent-based networking. This review provides both a comprehensive state-of-the-art summary and a forward-looking agenda for researchers and practitioners in AI-driven network control.

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 Keywords

AI-augmented BGP; SLA-driven SD-WAN; reinforcement learning; graph neural networks; intent-based networking; network optimization; route stability; explainable AI; multi-domain cooperation; sustainable networking.

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Accurate impressions are crucial in the success of fixed dental prostheses, where marginal adaptation and soft tissue management directly influence the longevity of restorations. The windows impression technique is a modified impression method designed to enhance subgingival detail reproduction, especially in cases where tissue management is complex. This study aims to evaluate the awareness, adoption, challenges, and clinical perceptions of dental professionals regarding the windows impression technique using a structured questionnaire. The findings are expected to provide insight into current practices and inform potential improvements in education and clinical training.

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 Keywords

Impression tech,fpd,prosthetic rehabilitation.

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Now a day, With the growth of digital tools and social media, traditional recruitment methods have undergone a complete transformation. In this study, the focus is on understanding how social media learning and its proper use influence modern hiring methods. It outlines the process in which the likes of LinkedIn, YouTube, Twitter, Facebook and Instagram have become important weapons in the arsenal of recruiters to attract, engage, and retain talent. This research adopts descriptive and qualitative methodologies and collects data entirely from secondary sources such as academic journals, HR reports, surveys, and other reliable online sources. The evidence reveals that acquiring knowledge of use social media improves a recruiter's efficiency and overall performance, builds employer branding, lowers recruitment costs, and can make talent acquisition more active. The issues that the authors of the paper consider include privacy concerns, ethical issues, and the necessity of continuous skill development because of the rapid change of platform. They give some suggestions to HR professionals on how they can implement social media training that is well-structured, keep up with the ethics, and use a hybrid method of recruitment that involves both digital and traditional methods. To sum up, the human resources skills related to social media have been so significantly enhanced that they can now be seen as a way of connecting employers and job-seekers and as a factor that makes the recruitment process more efficient, transparent, and dynamic, all of which are congruent with the digital era we live in.

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 Keywords

Digital Recruitment, Employer Branding, Human Resource Management (HRM), LinkedIn, Modern Hiring, Qualitative Research, Recruitment Strategy, Secondary Data, Skill Development, Social Media, Social Media Learning, Talent Acquisition, Technology in HR, Training and Development.

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Murraya koenigii (curry leaf), a member of the Rutaceae family, is widely used in traditional medicine due to its rich phytochemical composition and therapeutic properties. This review summarizes existing research on the phytochemical constituents and antimicrobial potential of M. koenigii leaves. Various studies have identified alkaloids, flavonoids, terpenoids, and phenolic compounds in its extracts, which contribute to its antibacterial, antifungal, and antioxidant effects. The antimicrobial activity of M. koeni gii has been tested against pathogens such as Staphylococcus aureus, Escherichia coli, and Candida albi cans, demonstrating significant inhibitory effects. This paper consolidates findings from multiple studies to highlight the plant's medicinal value and potential applications in pharmaceutical and food preserva tion industries. A comparative antimicrobial activity of dried leaf extracts of M. koenigii were evaluated against two gram negative bacterial strains namely Escherichia coli and Pseudomonas aeroginosa and two clinical fungal pathogens namely Candida albicans and Aspergillus niger by agar cup method. The leaf extracts of M. koenigii was found to have high antibacterial activity than anti fungal activity. The results suggest that the leaves are a rich source of valuable primary and secondary metabolites exhibiting the antimicrobial activity.

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Murraya koenigii, Phytochemicals, Antimicrobial Activity, Curry Leaf, Rutaceae

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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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???????, ?? ???, ?????, ??? ?????????

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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.

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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.

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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

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

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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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 Keywords

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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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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 Keywords

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

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 Abstract

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Human monkeypox is a zoonotic infection caused by an orthopoxvirus, and in many ways its symptoms resemble smallpox. This similarity often makes it hard for doctors to clearly distinguish monkeypox from smallpox or even from varicella (chickenpox) just by looking at the patient. Because of this, laboratory tests remain the key method for confirming cases and keeping track of outbreaks. The problem with monkeypox testing is simple: the tools we have right now are often too slow and not always accurate. That means there's still a big gap in how quickly we can confirm cases, and better tests are badly needed. Most of the infections are still seen in Central and West Africa, usually in rural areas where hospitals and labs are limited, making tracking even harder. Still, health workers have found that simple guides and training materials can make a difference in spotting and reporting cases. Another issue is that since smallpox vaccination stopped years ago, people have lost the natural protection it used to give against related viruses. This has left whole communities more open to outbreaks. To understand how things are shifting, researchers are turning to new epidemiological studies to map out how monkeypox is spreading and what burden it carries.

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Monkeypox, Zoonotic disease, Emerging infectious diseases, post-COVID-19 era, Viral outbreak, Orthopoxvirus, Global health, public health threat, Epidemic preparedness, Disease transmission, Human-to-human transmission, Animal reservoirs, Pandemic lessons, Viral re-emergence, One Health approach, MPXV

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Creative Commons Attribution 4.0 and The Open Definition

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Anxiety is a feeling of worry, nervousness, or unease, often about something that is going to happen in the future. And it can be associated with several issues of human beings viz., personal, professional or health issues. Certain medical conditions, including heart problems, diabetes, thyroid issues, respiratory disorders, and neurological conditions, can cause or exacerbate anxiety symptoms. Apart from these, gynecological issues also playing a major role in the occurrence of anxiety among women. Gyna ecological issues such as infertility, PCOD, endometriosis, hormonal imbalances, etc are the major problems associated with anxiety in women. Anxiety in endometriosis patients can be associated with the chronic pelvic pain (CPP) it causes which can affect well-being of a woman both personal and professional. Hence, the current study aims to understand the link between anxiety and chronic pelvic pain associated with endometriosis through surveys. Outcome of the study indicates that the anxiety levels are significantly high in the endometriosis patients when compared to the control group which is negatively affecting their wellbeing and career. These results form a scientific basis for designing and developing endometriosis specific counselling methods/therapies to manage the anxiety symptoms and providing a stress-free life for the endometriosis warriors.

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 Keywords

Anxiety, Endometriosis, Chronic Pelvic Pain.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In a variety of industries, artificial intelligence (AI) has become a disruptive force that is changing conventional business models and facilitating previously unheard-of levels of productivity, creativity, and decision-making. AI is becoming a useful tool integrated into everyday corporate operations, from automating repetitive tasks to providing predictive analytics. AI is utilised in the healthcare industry, for example, in drug research, diagnostic imaging, and customised treatment planning. It drives chatbots for customer support, algorithmic trading, and fraud detection systems in the financial industry. Similar to this, AI improves customer experiences in retail by estimating demand, managing inventory, and creating recommendation engines. AI-driven changes in supply chain optimisation, robots, and predictive maintenance are even transforming manufacturing and logistics.

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Licensing Models for AI in Business: Balancing Innovation with Intellectual Property Rights

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Background: Frozen shoulder (Adhesive Capsulitis) is a painful condition characterized by progressive stiffness, restricted mobility, and functional disability of the shoulder joint. Conventional therapies often provide symptomatic relief but fail to address the chronicity and metabolic basis of the disease. Scientific Reversal Detox Process (SRDP), developed at Parasnath Speciality Clinic, is an integrative protocol that combines Ayurvedic and modern diagnostic perspectives with a standardized treatment plan. Objective: To evaluate the clinical efficacy of SRDP based Ayurvedic therapy in the management of frozen shoulder. Methods: This clinical study was conducted on patients diagnosed with frozen shoulder who underwent the SRDP protocol. The treatment was structured into four sequential stages: (1) Detoxification - local oil massage, pottali swedana, nadi swedana, lepa, basti, leech/cupping, and taila dhara along with Vardhman SRDP powder (Guda, Shunthi, Haritaki) to eliminate vitiated Doshas, reduce inflammation, and improve metabolism; (2) Strengthening - gentle oil massage, taila dhara, lepa application, and physiotherapy to improve joint mobility and muscular support; (3) Root Cause Removal - administration of specially developed polyherbal formulations to correct Dhatvagni and address metabolic disorders; (4) Regeneration - research based regenerative medicines for restoring synovial fluid and enhancing joint integrity. Both take home medicines (polyherbal tablets, oils, lepa) and in house therapies were included. Results: Patient undergoing SRDP therapy demonstrated significant reduction in pain, stiffness, and inflammation, along with marked improvement in shoulder mobility and daily activity performance. Progressive improvement was observed across all four phases, with better tolerance and compliance compared to conventional therapies. No major adverse effects were reported. Conclusion: SRDP based Ayurvedic therapy provides a holistic and effective approach in the management of frozen shoulder by addressing not only symptomatic relief but also the underlying metabolic and structural pathology. The staged protocol of detoxification, strengthening, root cause correction, and regeneration demonstrates promising potential as an integrative care model.

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 Keywords

Frozen shoulder, Adhesive capsulitis, Ayurveda, SRDP, Panchakarma, Regenerative therapy

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Creative Commons Attribution 4.0 and The Open Definition

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The Apparel Industry is a major part of the world economy, involving the design, production, marketing, and distribution of clothing or apparel. It is one of the biggest and most labor-intensive industries, adding billions of dollars to the world economy and employing millions, especially in developing nations such as India and Bangladesh. As fashion trends and consumer demand change rapidly, the industry keeps evolving through supply chain changes, technological innovation, and sustainability efforts. Despite its economic importance, the Apparel Industry in both nations has some challenges. The Apparel Industry is an economic mainstay worldwide, but it is also one that is routinely characterized by systemic labor issues that compound mental health issues. The same trend can be seen across the supply chain, from apparel workers in low-income countries to retail workers in high-income ones. This paper focuses on these concerns, the responsible factors for these issues, and how more holistic as well as psychological interventions could help to alleviate the mental health issues among workers in the Bangladeshi and Indian Apparel Industry. Improving the mental health of workers in the apparel industry requires structural changes, including the integration of corporate responsibility, policy development, and community care, as prioritizing workers' mental health is both ethical and essential for sustainable industrial development.

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Apparel Industry, Mental Health, Workers, Bangladesh, India

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Creative Commons Attribution 4.0 and The Open Definition

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Postoperative gastrointestinal (GI) surgery patients often experience significant pain and reduced mobility, which can delay recovery and increase the risk of complications. Early physiotherapy interventions have been proposed as an effective non-pharmacological approach to enhance recovery outcomes. This study investigates the effectiveness of structured physiotherapy exercises in reducing pain and improving mobility among postoperative GI surgery patients.

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Postoperative recovery, gastrointestinal surgery, physiotherapy, mobility, pain, 6MWT, STS, NPRS, early ambulation, King's Goal Attainment Theory

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Creative Commons Attribution 4.0 and The Open Definition