Volume 14 | Issue 3 |

 Abstract

The process of repairing damaged tissues through the replacement of malfunctioning, damaged cellular structures is known as wound healing. For millennia, natural substances have been utilized extensively to cure wounds. Studies of natural compounds for wound healing uses were presented in a number of published publications, which divided the methods according to many categories such traits, bioactivities, and modes of action. Nonetheless, recent research offers summaries of natural substances derived solely from plants or animals. Strong antioxidant, anti-inflammatory, antibacterial, and immunomodulatory qualities have been demonstrated for a variety of natural substances obtained from plant or animal sources. By creating multipurpose bioactive wound dressings, these substances may help control wound healing. However, due to their sensitivity, bioavailability, and contact allergies, many of these substances-especially essential oils and phytochemicals-cannot be used in their free form, which could hinder their application in wound healing.

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 Keywords

Wound healing, Natural compounds, Bioactivity, Anti-inflammation, Anti- oxidant, Anti-bacterial, Collagen promotion, Targeting phase

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With the emergence of Electric vehicles there is shift in transport industry. The adoption of these vehicles are increasing at progressive rates. No emission and sustainability and advanced features of electric vehicles are promoted by various social media platforms. These platforms are popular among the consumers. These social media platforms play a pivotal role in the adoption of electric vehicles. Social media can be used as marketing tool for EV adoption. Specially YouTube being audio visual medium in public domain it can be helpful for promoting EV adoption. Social media campaigns, sponsored program on YouTube about EV, and user generated contents about advantages of EV adoption can be effective in spreading information about EVs. This study explores how user generated videos on YouTube plays crucial role in EV adoption. The Auto vlogs about EV are best example for user generated content in YouTube. This study is done by using content analysis method, various themes and concepts of 25 auto vlog and technology learning channels are studied in detail. Conceptual analysis of video content is done. The viewers are more interested in knowing features, cost and discounts and comparison with other types of vehicles. Most people update their knowledge about electric vehicles through comment sections to videos. Through this study it was discovered that people are curious about the latest models of EVs in the market, Price details of EVs and Which is the top selling electric scooter, electric car etc, by analyzing top comments received for videos related to EV. The paper is concluded with discussion and suggestions about how YouTube Auto Vlogs have an impact on consumer attention towards Electric Vehicles. This paper brings out Auto vlogs can be suitable for social media marketing in Auto mobile sector. And this study came up with suggestions like expanding EV content on YouTube. Government initiatives for EV Publicity and awareness through YouTube. YouTube cab be used by EV companies by creating companies channels on YouTube Other than Ads, Campaigns as its a best medium for promoting any product through ads , promotions, reels ,lengthy videos.

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 Keywords

Electric Vehicles, Social media, YouTube, Auto Vlogs, Video Reviews

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 Abstract

The field of medicine is encountering an issue with automatic diagnosis of diseases due to the rapid growth in population dentistry. The AI based models can help the medical specialists in the diseases and assists in providing the efficient treatment which decreases the mortality rate. Skin cancer (particularly melanoma) is a life-threatening type of cancer with a very high rate of metastasis and rapid progression. Globally, approximately 3.5 million cases are assessed every year, across types, including basal cell carcinoma, melanoma, and vascular-associated skin malignancies. Traditionally, dermoscopy images are used by experts to manually recognize skin cancer. Experts visually review, biopsy, and assess histopathological features. This strategy is labor-intensive and time-consuming and need an automated detection tool for the early detection of skin cancer. This paper proposes a model for skin cancer prediction based on convolutional neural networks (CNNs) and its advancements which have shown high prediction rate for classification. This research paper focuses around skin cancer progression prognosis (diagnostic) with implementation of AI models to dermatoscopic images. Key performance indicators are used to evaluate the model performance such as accuracy, precision, recall, F1-score. Furthermore, this paper introduce the model outputs by visualizing heat maps which allow for a deeper understanding of how and why the model makes certain prediction, which in turn aids in boosting trustworthy diagnosis in clinics. Finally, some directions on future research are provided- model refinement, increasing of the size of the datasets for training, and interpretable and ethically-aligned AI models appropriate for deployment in diverse clinical environments. Thus, this study is a step closer to attaining the full potential of AI in early skin cancer diagnosis.

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 Keywords

skin cancer; medical image processing; deep learning; convolutional neural networks (CNNs); machine learning

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Bryophyllum pinnatum (Lam.) (Crassulaceae) is a perennial and widely used divine herb. Though it is not a native of India, it was introduced into the country by Europeans as an ornamental plant. Gradually it started finding its use in Indian traditional systems of medicine like Ayurveda, Unani and Homoeopathy. Experiments were undertaken to study the compatibility of standard Murashige and Skoog medium fortified with different PGRs (BA, IAA and NAA) with Bryophyllum pinnatum (Lam.) using leaf as explants. Their concerned explants viz. Leaf incorporated on Murashige and skoog media containing 0-1mg/l IAA, 0-1mg/l NAA in combination with 0-1mg/l BA. Results showed in one month the high compatibility of MS media supplemented with 0.4 mg/l BA and 1 mg/l IAA Bryophyllum pinnatum (Lam.) developed completely rooted plantlets. The regenerated plantlets were hardened and successfully transferred to soil and grown to maturity.

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 Keywords

In vitro propagation, leaf explants, PGRs, Bryophyllum pinnatum (Lam.)

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This study investigates the impact of United States tariff policies on buyer-seller relationships in the Tirupur garment sector. Using a pilot study based on 93 respondents, the research evaluates how tariff-induced cost pressures affect trust, communication, pricing negotiations, and contract continuity. Statistical tools such as percentage analysis, chi-square test, correlation, ANOVA, and t-test are employed. The findings reveal moderate pricing pressure and profit margin reduction, along with mixed effects on buyer-seller relationships. While tariffs significantly affect operational aspects, statistical evidence shows limited direct impact on relational variables, indicating the role of multiple external factors. The study contributes to bridging the gap between trade policy and relationship marketing.

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 Keywords

U.S. Tariffs, Buyer-Seller Relationships, Tirupur Garment Sector, Pricing Pressure, Export Competitiveness, Relationship Marketing

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The accounting and finance profession in India today stands at a crossroads that is more human than technical. Beneath the surface of rigorous deadlines, regulatory compliance, and digital transformation lies a quieter, more personal crisis: the mental exhaustion of the very professionals who uphold the nation's financial architecture. This article argues that wellness -- defined here as the intentional, sustained management of occupational stress and psychological health -- is not a peripheral benefit but a core professional responsibility for practitioners across all disciplines: Chartered Accountants, finance managers, tax professionals, compliance officers, and educators alike. Drawing on evidence from occupational psychology, national mental health research, and the contextual realities of Indian professional environments, a structured three-tier framework is proposed for embedding mental health practices within organisations. Two recently published studies in the International Journal of Creative Research Thoughts (IJCRT) provide empirical grounding from the Indian professional context. The framework addresses policy architecture, cultural leadership, and individual resilience, and its recommendations are deliberately scaled to suit both large organisations and single-practitioner setups. The paper concludes that sustainable professional excellence -- whether measured by ethical quality, innovation capacity, or career longevity -- begins with the mental well-being of the person behind the professional.

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 Keywords

Mental Health, Occupational Stress, Work-Life Balance, Burnout, Professional Wellness, Finance Professionals, India, Sustainable Practice, Employee Well-being

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This study analyses the financial services performance of VGAINT Enterprises Private Limited over a period of five years (2020-2025), focusing on revenue growth, profitability, and operational efficiency. The research is based on both primary and secondary data collected from company records and financial statements, and uses tools such as percentage analysis, trend analysis, comparative analysis, and Compound Annual Growth Rate (CAGR). The findings reveal that the company has achieved overall growth despite minor fluctuations, with mutual fund services emerging as the key contributor due to consistent and strong performance. Other services like shares, insurance, and tax-saving schemes showed moderate growth, while child saving schemes displayed some variability. The study highlights the importance of strengthening high-performing areas and improving weaker segments to enhance overall performance. It concludes that with effective financial management, better marketing strategies, and increased digital presence, the company can achieve sustainable growth and improve its position in the financial services industry.

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 Keywords

Percentage analysis, Trend analysis, Comparative analysis, and CAGR

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Abstract The Integrated Teacher Education Programme (ITEP), introduced under the National Education Policy 2020, marks a significant reform in teacher education in India by promoting a holistic and multidisciplinary approach. This study examines curriculum innovation under ITEP and its effectiveness in enhancing teacher competencies, multidisciplinary learning, and classroom readiness. A descriptive and analytical research design was adopted, with data collected from 70 respondents, including 50 pre-service teachers and 20 teacher educators. Statistical analyses, including mean, standard deviation, independent sample t-test, one-way ANOVA, and Pearson correlation, were applied. The findings reveal that ITEP is effective in promoting interdisciplinary learning and professional skills, with pre-service teachers demonstrating a more favourable perception than teacher educators. A strong positive correlation between multidisciplinary learning and teaching competency was also observed. Challenges such as limited infrastructure, inadequate faculty training, and resistance to change were identified. The study concludes that ITEP has the potential to transform teacher education in India, but its success depends on systematic implementation, institutional support, and continuous evaluation.

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 Keywords

Keywords: ITEP, Multidisciplinary Education, Curriculum Innovation, Teacher Education, NEP 2020, India

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A monsoon dependent region critically faces high environmental stress when the rainfall pattern of that region shows significant variation. This research work critically evaluates how over a 13 years period of time the environmental stress has been increased significantly in the Balasore district of Odisha due to variation in rainfall mechanism. To justify this, geospatial data sets such as LST, NDVI, NDMI and rainfall data of 13 years i.e. 2013 to 2025 of Balasore district were integrated to assess the environmental stress across the region. This research work also applies quantitative statistical techniques such as Coefficient of Variation (CV) and Mann-Kendall trend test, to analyses the rainfall anomalies. Through these two techniques, the trend of rainfall whether increasing or decreasing along with fluctuation percentage throughout the study region have been assessed. Additionally, the findings of the study also evaluate the intensity of environmental stress and ecological imbalance associated with climatic heterogeneities. The integrated environmental stress map also highlights the spatial hotspots and vulnerable zones. As a whole, this research work provides significant insights for environmental sustainability, resource management and copping mechanism to reduce climatic induced environmental stress.

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 Keywords

Environmental stress, Coefficient of Variation (CV), LST, Mann-Kendall trend test, NDMI, NDVI and Rainfall variation.

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The Air pollution has become one of the most critical envirommental concern increasing industrialisation,vehicle emission and indoor pollutants. Which Directly impacts to human health,the ecosystem, and the climate. To address this, an Advanced Pollution Control and Monitoring System is proposed. It integrates smart sensing, automatic control, and lot based data communication. The system employs a combination of gas sensors (for CO2,NH3,NO), particulate matter sensors and environmental sensors (temperature, humidity, ) to provide real-ime measurement of air quality parameters.A microcontroller unit (ESP32/Raspberry Pi) processes the sensor data, calculates the Air Quality Index and applies intelligent decision-making algorithms. When pollutant levels exceed safe thresholds, the system automatically activates actuators such as exhaust fans, air purifiers, or industrial filters through relay control, thereby reducing local pollution levels. By integrating loT connectivity, and automatic pollution control, this project offers a scalable solution for smart homes, industries, and smart city applications, contributing to sustainable environmental management.

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 Keywords

Industrialisation,Environmental concern, Monitoring system,Actuators,Air quality index,Environmental sensors, Smart city Application,Sustainable Environment

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