20 Articles
Dr. Chandrashekar M. Mathapati
As India navigates the Amrit Kaal—the decisive 25-year period leading to its centenary of independence—the vision of Viksit Bharat 2047 stands as the definitive roadmap for a $30 trillion developed economy. Bengaluru, as the "Silicon Valley of India" and a global innovation powerhouse, plays a disproportionate role in this national transformation. This study presents an empirical analysis of how the Bengaluru startup ecosystem is strategically engineering the path to 2047. Utilizing a robust sample size of 100 startup founders and ecosystem stakeholders within Bengaluru, the research employs a quantitative approach to measure the ecosystem's alignment with the four pillars of Viksit Bharat: Yuva (Youth), Ghareeb (Poor), Annadata (Farmers), and Nari Shakti (Women). The empirical findings reveal that while Bengaluru has matured into the world's 14th-ranked startup ecosystem as of 2025, its contribution is shifting from software-as-a-service (SaaS) to DeepTech, AI, and hardware-led innovation. The data suggests that over 70% of the surveyed startups are actively leveraging Digital Public Infrastructure (DPI) to create inclusive solutions, thereby democratizing access for the marginalized sections of society. However, the study also highlights critical systemic challenges, including a significant "funding winter" affecting late-stage ventures and the urgent need for regulatory simplification to sustain long-term R&D. The research concludes that Bengaluru’s startups are not merely economic entities but are the primary "Architects" of national resilience. The paper provides actionable policy recommendations to bridge the gap between urban innovation and rural requirements, ensuring that the technological dividends of Bengaluru’s ecosystem are distributed across the nation. By providing evidence-based insights into the city’s readiness, this study contributes to a deeper understanding of how regional innovation hubs serve as the cornerstone for India's journey toward becoming a global superpower by 2047.
Oasea Khatun
This paper examines the character of the Marquis in the short story The Bloody Chamber by Angela Carter through the theoretical framework of Lacanian psychoanalysis. Carter, one of the prominent feminist writers of the modern era, presents in this story an anonymous female narrator who recalls her past life and her disturbing marriage with a wealthy aristocrat known as the Marquis. Although the Marquis appears to be a sophisticated and well-established man, his behavior gradually creates suspicion in the mind of his young wife. The mystery surrounding his personality becomes clear when the narrator enters the forbidden “bloody chamber,” where she discovers the corpses of his three previous wives. This shocking revelation exposes the violent and abnormal psychological dimension of the Marquis.
Mohammed Mukkaram Ali, Umme Habeeba fatima
The speed with which cloud computing has been used in cooperative healthcare applications has brought forth numerous concerns as far as data privacy, decentralized trust, and secure access control are concerned. The past systems, which were centralized, are highly susceptible to single points of failure and have a restricted ability to audit sensitive medical information. This paper presents a privacy-sensitive blockchain framework that enables cooperation among people in the early detection of heart disease to work efficiently. To guarantee the secrecy of sensitive identifiers of patients and the integrity of data, the framework employs enlightened cryptography techniques, including, but not limited to, AES-256-GCM encryption and salted SHA-256 hash. The main part of the system is the high-performance stacking ensemble machine learning model, which is composed of the following models: Random Forest, XG Boost, Light GBM, and Multi-Layer Perceptron (MLP). Possessing the ability to determine valid and suspicious access requests and effectively estimate the state of heart disease are its major functions. Smart contracts used to uphold an audit trail in an immutable fashion utilise a certified blockchain in which access decisions, audit metadata, and additional blockchain data are stored. To verify scalability and robustness, the framework is assessed using both synthetic and benchmark datasets (UCI Heart Disease). The performance of the ensemble model to improve the accuracy of an enhanced UCI Heart Disease dataset is demonstrated by experimental results showing 95% accuracy, 0.98 ROC-AUC, and better precision-recall than the performance of the individual classifiers. The results prove that the suggested framework provides a scalable, reliable, and regulation-conformant solution to medical collaboration in the cloud that will provide the best balance of top-level security and quality of clinical diagnosis.
Dr. Anu R Chandran, Jayalekshmi S.R, Sangeetha.S
Artificial Intelligence (AI) has significantly transformed the financial services sector by enhancing customer service delivery through automated systems. AI-powered chatbots are increasingly used by banks, insurance companies, and financial institutions to improve customer engagement, reduce operational costs, and provide 24/7 assistance. This study examines the role of AI-powered chatbots in financial services customer support, evaluating their benefits, challenges, and impact on customer satisfaction. The research adopts a conceptual and analytical approach by reviewing existing literature and industry practices. Findings suggest that AI chatbots enhance service efficiency, reduce response time, and improve customer experience. However, concerns such as data privacy, limited contextual understanding, and technological dependency remain key challenges. The study concludes that while AI chatbots cannot fully replace human interaction, they serve as a powerful complementary tool in modern financial customer service systems.
Dr. Amit Bijon Dutta
This paper looks at the growing impact of Artificial Intelligence on human resource management, focusing specifically on the Indian context. Human resource functions, which once cantered on personnel administration and compliance, are now evolving into strategic areas of managing human capital. This change is supported by data analytics, machine learning, and predictive systems. In this shift, AI plays a key role in improving operational efficiency, workforce intelligence, and leadership continuity. The paper examines this change across four main areas: ethical AI in recruitment, generative AI as an operational helper, predictive workforce planning, and AI-supported leadership identification and succession planning. The study suggests that AI in HR should not be seen just as a tool for automation; rather, it signals a major change in how we manage talent, organizational capabilities, and future leadership. In recruitment, AI speeds up screening and improves candidate matching, but it also raises concerns about algorithmic bias and fairness, especially within India's diverse socio-economic landscape. In HR operations, generative AI aids in documentation, policy drafting, training content, and communication processes. This reduces the administrative burden and allows HR professionals to focus on more important strategic tasks. Predictive analytics enhances workforce planning by helping identify attrition risks, skill gaps, and future talent needs early on. Similarly, AI-supported leadership analytics helps systematically identify high-potential employees, although these systems often struggle to capture deeper human traits like ethical judgment, emotional maturity, and crisis leadership. The paper concludes that while India shows relatively strong AI adoption in HR compared to global averages, responsible use is crucial. Transparency, fairness audits, explainability, data protection, and human oversight should be central to AI governance. The future of HR depends not on replacing human judgment but on enhancing it through responsible and strategically targeted technology integration.
Nitesh Prasad Sah
Clinical trials play a vital role in evaluating the safety and effectiveness of new medical treatments. However, conventional trial methods often face several challenges, including high operational costs, extended timelines, and difficulties in recruiting appropriate participants (6). In recent years, Artificial Intelligence (AI) has emerged as a promising technology capable of addressing many of these limitations (1,2). AI-based tools can rapidly process large volumes of medical data, identify suitable patient populations, and support more efficient trial management (3,4). Additionally, machine learning techniques can assist researchers in predicting treatment responses and detecting potential safety concerns at earlier stages (5,17). Despite these advantages, issues related to data privacy, algorithm transparency, and ethical considerations remain important topics of discussion (16,19). This review explores current applications of AI in clinical trials, its benefits in improving research efficiency, and the potential future direction of AI-driven clinical research. In countries such as India, where healthcare data is extensive yet often fragmented, the integration of AI could significantly enhance the drug development process.
Kevin Viswas M, Lathish J, Mr. B Sunil Kumar, Nazurulla G, Poojasree S
This work presents a deep learning–based framework for the automatic identification of oral cancer from clinical tongue images. The study utilizes a multi-class oral image dataset comprising healthy tongue samples along with pathological conditions such as oral cancer, leukoplakia, oral lichen planus, thrush, and hairy tongue. Images collected from both affected and non-affected individuals were used to train and evaluate the proposed model. A pre-trained DenseNet169 network was adopted as the backbone architecture and fine-tuned using transfer learning, with additional fully connected layers introduced to enhance class discrimination. To reduce overfitting and improve generalization, extensive image augmentation techniques were applied during training. The effectiveness of the proposed approach was validated through a comparative analysis with a classical LeNet-based convolutional network. Experimental results indicate that the DenseNet-based model achieved superior performance, recording an accuracy of 94.08%, precision of 94.16%, recall of 94.70%, and an F1-score of 94.70%. In contrast, the LeNet model produced significantly lower results, with accuracy, precision, recall, and F1-score values close to 64%. The findings emphasize the importance of appropriate model architecture selection, robust data preprocessing, and systematic evaluation in medical image classification tasks. Further optimization and large-scale validation could strengthen the applicability of the proposed system for real-time clinical oral cancer screening.
Gulshan Kumar, Rutika, Vinod Kumar, Vinod Sharma
Natural farming systems emphasize the use of indigenous microbial formulations to improve soil health and crop productivity while minimizing chemical inputs. Ghanajeevamrit, a solid formulation derived from cow and buffalo dungs, is increasingly promoted as a sustainable organic input in natural farming practices. The present study evaluates the production process and economic feasibility of manufacturing dry Ghanajeevamrit using locally available resources. Primary production data were collected from a pilot-scale unit operating under community extension activities. The analysis revealed that the total production cost for 300 kg of dry Ghanajeevamrit was ₹13,000, whereas the estimated market value was ₹15,000, resulting in a net profit of ₹2,000 per production cycle. Raw material costs accounted for a significant proportion of the expenditure, while packaging and labeling constituted the highest operational cost component. The results demonstrate that small-scale Ghanajeevamrit production can serve as a viable rural enterprise while promoting sustainable agriculture and reducing dependency on chemical fertilizers. The findings support the integration of bio-inputs in Rain-fed and Dry Land Agro-ecosystem in North western Himalayan Regions for improved soil fertility and environmental sustainability.
Rajib Bhattacharya
Periods of heightened uncertainty have become increasingly frequent in modern financial markets, intensifying the need for forward-looking measures that can anticipate volatility rather than merely describe it ex post. Implied volatility indices have emerged as prominent proxies for market fear, yet empirical evidence on how such fear propagates across different segments of equity markets remains limited, particularly in emerging economies. Against this backdrop, the present study examines whether India VIX functions as a leading indicator of volatility spillovers across Indian equity market capitalization tiers and whether such spillovers are heterogeneous and regime-dependent.
D Research Scholar, Mr. Subrata Mandal
The research paper title is "Jayaprakash Narayan: Conscience of Modern India" delves into the life, ideals, and transformative influence of one of India's most revered political leaders, Jayaprakash Narayan. Commonly known as JP, he stood as a beacon of moral integrity and unwavering commitment to social justice and democracy during India's tumultuous political landscape. This seminar aims to comprehensively explore JP's life journey, beginning with his early activism during the freedom struggle to his pivotal role in shaping post-independence India. It delves into his philosophy of 'Total Revolution,' which challenged the socio-political norms of his time and aimed at creating an egalitarian society. JP's unique blend of Gandhian principles, deep-rooted democratic values, and pragmatic approach to societal issues will be analysed in the context of modern India's political landscape. This research paper will assess JP's impact on Indian politics, his influence on various social movements, and his role in shaping grassroots leadership. Special focus will be given to his ideas on decentralization of power, social inclusivity, and ethical governance, which continue to hold relevance in contemporary India. Through in-depth discussions, scholarly analyses, and case studies, this research paper seeks to unravel the multifaceted dimensions of JP's conscience-driven leadership. It aims to inspire a new generation of leaders by drawing lessons from his life, highlighting the importance of moral courage, unwavering conviction, and grassroots empowerment in the pursuit of a just and equitable society.
Flory Ann Mansor Gingging, Hu Yujing
Ethnomusicology has traditionally focused on the study of music within its cultural and social contexts, emphasizing ethnographic investigation of musical practices and communities. In recent years, however, technological innovation and interdisciplinary research approaches have increasingly influenced the ways in which musical traditions are documented, analysed, and transmitted. This study examines the intersection between ethnomusicology and scientific innovation in relation to Chinese musical culture through a mini-review of Scopus-indexed publications published between 2020 and 2025. Using thematic analysis, nine selected studies were analysed to identify emerging research trends and interdisciplinary developments within this field. The findings reveal four primary research themes: digital innovation in ethnomusicology, technological applications in cultural heritage preservation, analytical approaches to research and innovation mapping, and transnational Chinese musical identity. The analysis demonstrates that contemporary ethnomusicology increasingly incorporates digital technologies such as artificial intelligence, virtual learning platforms, and computational analytical tools, which expand the methodological possibilities for studying musical traditions. At the same time, technological innovation has created new opportunities for safeguarding intangible cultural heritage through digital archives, immersive media technologies, and online dissemination platforms. In addition, the review highlights the growing use of bibliometric analysis and computational methods to examine research trends and innovation systems related to cultural heritage studies. Finally, studies on diaspora communities illustrate how Chinese musical traditions continue to evolve through processes of migration, cultural exchange, and global cultural interaction. Overall, the findings suggest that ethnomusicology is increasingly positioned at the intersection of cultural heritage research, digital humanities, and interdisciplinary innovation studies. By synthesizing recent literature, this study provides insights into how ethnomusicological research related to Chinese musical culture is evolving within technologically mediated and globally interconnected research environments.
Oluwasegun Adeshina OLUKOYA
In this paper we introduce and study several new subclasses of analytic and univalent functions in the open unit disk defined by means of a generalized differential operator. The operator generalizes numerous differential operators which have been widely used in geometric function theory. Using standard techniques involving subordination and Carath’eodory functions, we derive comprehensive coefficient estimates, the Fekete–Szegő inequality, bounds for the second Hankel determinant, inclusion relationships, neighborhood properties, Growth and Distortion properties. The results obtained in this work generalize and unify several earlier results in the literature.
Dr. Eriyo Williams, Dr. Ikemefuna Odegua Shelly, Dr. Tenibiaje Seun Victor
Background: High substance use rates among Nigerian secondary students are exacerbated by limited knowledge of risks, despite proximity to drug cultivation zones like those near Ughelli, Ifon, and Auchi. No prior data exists for Esan West LGA on students' awareness and perceptions. Aim and objective: To assess the prevalence alongside knowledge levels and attitudes toward psychoactive substances among these students. Method: 1,060 students from selected schools via multistage sampling completed a modified WHO questionnaire post-consent; data were analyzed with SPSS (p<0.05). Result: Lifetime prevalence mirrored prior findings (86.8%), with alcohol (41.2%) dominant; knowledge was moderate (65%), but positive attitudes toward "gateway" drugs like alcohol linked to peers (OR=2.5, p<0.01) and low religiosity. Males showed riskier attitudes (χ²=6.2, p=0.01); urban residence correlated with misconceptions (χ²=12.4, p<0.001). Regression confirmed peers/parents as attitude predictors. Conclusion: Gaps in knowledge fuel permissive attitudes; integrate drug education curricula and peer-led programs. Aim And Objectives Aim: To determine prevalence, knowledge, and attitudes toward psychoactive substance use among secondary school students in Esan West LGA, Edo State. Objectives: To assess prevalence of use. To evaluate knowledge of health risks and sources. To examine attitudes and their sociodemographic links.
Aliche, Chioma Linda, Nwachukwu, Chijioke Nnaemeka, Obinwa, Ezinne Prisca, Okoroafor, Clara Nneka, Okusun, Chidimma Juliana
Complementary foods are foods other than breast milk or infant formula introduced to infants to supply additional nutrients required for proper growth and development. In many developing countries, traditional complementary foods are mainly cereal-based and are often characterized by low protein quality, low energy density and high bulk. These limitations contribute to protein-energy malnutrition among infants and young children during the complementary feeding period. This study evaluated the nutritional quality of complementary food formulated from powdered akamu (fermented maize flour) fortified with Rhynchophorus phoenicis (edible palm weevil larvae) powder. Yellow maize grains were processed into powdered akamu through cleaning, steeping, fermentation, wet milling, sedimentation, drying and sieving. Fresh larvae of Rhynchophorus phoenicis were washed, fried, defatted, oven-dried, milled and stored as powder. Complementary food blends were formulated at different substitution levels of powdered akamu and R. phoenicis powder: 100:0, 95:5, 90:10, 85:15 and 80:20. Proximate and mineral compositions of the formulated samples were determined using standard AOAC methods, while data obtained were analyzed using analysis of variance (ANOVA). Results showed that moisture content ranged from 5.84% to 6.78%, protein from 8.99% to 19.68%, fat from 5.21% to 14.45%, crude fibre from 1.85% to 2.93%, ash from 0.80% to 3.28% and carbohydrate from 53.82% to 76.38%. Mineral composition revealed calcium (87.66–101.00 mg/100 g), sodium (54.11–59.00 mg/100 g), potassium (40.02–54.28 mg/100 g) and iron (30.68–40.08 mg/100 g). Protein, fat, fibre, ash, and mineral contents increased significantly (p < 0.05) with increasing levels of R. phoenicis powder, while moisture and carbohydrate contents decreased. The fortified samples therefore showed improved nutritional quality compared with the control sample. The study concluded that fortification of powdered akamu with Rhynchophorus phoenicis powder significantly enhances the nutritional value of complementary foods. The incorporation of edible insects into complementary food formulations could serve as a sustainable and affordable strategy to combat protein and micronutrient malnutrition among infants in developing countries.
Flory Ann Mansor Gingging, Lu Liang
Traditional music represents a vital component of intangible cultural heritage (ICH), reflecting the historical experiences, cultural identities, and social practices of communities. In recent years, scholars have increasingly applied spatial analytical approaches to examine how cultural heritage resources are distributed across geographic landscapes. However, existing studies on the spatial distribution of traditional music heritage remain largely fragmented across regional case studies, limiting broader conceptual understanding of the factors shaping these patterns. This study conducts a mini-review of recent empirical research examining the spatial distribution of traditional music-related intangible cultural heritage in China. Drawing on seven peer-reviewed studies employing spatial analytical methods such as geographic information systems (GIS), kernel density estimation, and spatial clustering analysis, the study synthesizes key spatial patterns and influencing factors. The review reveals that traditional music heritage demonstrates significant spatial clustering, particularly along river systems, mountainous regions, and historical cultural corridors including the Silk Road and the Grand Canal. The distribution of musical heritage is shaped by the interaction of natural geographic environments, socioeconomic conditions, and historical mobility networks. Building on this synthesis, the study develops a spatial cultural ecosystem model that reconceptualizes traditional music heritage as a dynamic system shaped by the interaction and co-evolution of environmental, socioeconomic, and historical mobility systems. Rather than treating these as isolated factors, the model advances a systems-oriented perspective that highlights feedback processes and spatial-cultural interdependencies. The findings contribute to ethnomusicology and heritage studies by offering a theoretically grounded framework for understanding the spatial dynamics, transmission, and sustainability of musical traditions.
Arturo T. Fernandez, Gabriel Angelo G. Dadula
This study is qualitative phenomenological research that aims to describe and understand the lived experiences, coping mechanisms, and perspectives of non-Filipino teachers assigned to teach Filipino in public secondary schools in the Municipality of Santo Tomas, Davao del Norte. Purposive sampling was used to select fourteen (14) participants, of whom seven underwent in-depth interviews and seven participated in focus group discussions. Data were collected through semi-structured interviews and analyzed using thematic analysis. Based on the analysis of the narratives, major challenges in teaching Filipino by non-Filipino teachers emerged, including lack of proper grammar, limited vocabulary, difficulty in pronunciation, difficulty in explaining concepts, lack of confidence in using the language, pedagogical incompatibility, and changes in classroom dynamics. In response to these challenges, various coping mechanisms were developed such as intensive preparation and research, language translation, collaborative learning, creative use of technology, use of online learning resources, and maintaining a positive outlook. Furthermore, the study demonstrated the growth of professional and cultural awareness among the participants, including the appreciation of continuous learning, the need for systemic reform in teacher assignment, and the importance of Filipino language training. The findings are a significant contribution to the promotion of inclusive and quality education, which is in line with the objective of Sustainable Development Goal 4 (Quality Education).
Blessing Nmesomachi Okorie
Antenatal education provided by nurses is an essential component of quality maternal healthcare and has the potential to improve childbirth preparedness and maternal outcomes, especially in low- and middle-income countries. This review examines existing evidence on the effect of nurse-led antenatal education on women’s preparedness for childbirth, psychological readiness, and maternal and neonatal net results in relation to Owerri, Imo State, Nigeria. A narrative review of peer-reviewed literature published between 2014 and 2025 was conducted using major health and nursing databases. Findings indicate that antenatal education delivered by nurses improves women’s awareness of pregnancy and labor, reduces fear and anxiety associated with childbirth, increases confidence, and promotes positive health behaviors including facility-based delivery and early initiation of breastfeeding. However, the effectiveness of antenatal education is influenced by factors including the quality and uniformity of content, nurse training, workload, and cultural considerations. Strengthening nurse-led antenatal education through competency-based learning, continuous professional development, and supportive health policies could significantly improve maternal and neonatal end results in Owerri and similar environments.
Anargha A, Dr. A. Maheswari M. Com, M. Phil, Maha Srilakshmi R, Rithika R
This empirical study evaluates the financial position and operational efficiency of Mold-Masters DME India Private Limited by integrating traditional secondary financial data with primary data collected from internal stakeholders. The objective of the study is to provide a better understanding of the company’s financial strengths, identify areas for improvement, and evaluate resource management. Secondary data analysis spanning three financial years (2021–2022 to 2023–2024) reveals a robust improvement in liquidity, with the Current Ratio reaching 2.12. However, it also highlights a growing reliance on external debt, evidenced by a Debt-Equity ratio rising to 0.67. Primary data gathered from the company's financial and managerial staff corroborates these findings, indicating strong internal confidence in short-term solvency but growing caution regarding long-term leverage. The study concludes that while the firm is in a strong expansion phase, maintaining a balanced capital structure is essential for sustainable growth.
Dr. Bhawana Maheshwari, Dr. Mahendra Daiya
The rapid expansion of digital commerce has led to the emergence of innovative retail business models that reshape traditional supply chains and retail operations. One such model is dropshipping, which allows retailers to sell products without maintaining inventory, relying instead on third-party suppliers to fulfill customer orders. This research paper explores the transformation of dropshipping within the digital commerce ecosystem by examining technological advancements, evolving consumer behavior, and the role of digital marketplaces. The study highlights the advantages of dropshipping, including low startup costs, operational flexibility, and global market access, while also identifying challenges such as supplier reliability, delivery delays, and intense competition. The paper concludes that technological integration and strategic supplier management are crucial for the sustainability of the dropshipping model in the evolving digital marketplace.
Gail D. Abasolo, Dba, Monica M. Arcillo
This study examined the transformational leadership practices of school heads and teachers and their relationship to the implementation of parental engagement practices in selected secondary schools in the Basud District, Camarines Norte. It specifically assessed the level of transformational leadership in terms of building trust, acting with integrity, encouraging others, innovative thinking, and coaching, the level of implementation of parental engagement practices along volunteering, empowering parents, communication, attendance at parent organization meetings, and parental support, the significant relationship between transformational leadership and parental engagement, the challenges encountered in implementing parental engagement practices, and the intervention that may be proposed to enhance parental engagement. A quantitative descriptive-correlational design was employed involving 189 teachers composed of Teacher I–III, Master Teachers, and Head Teachers. Data were gathered using a researcher-made questionnaire and analyzed through weighted mean and Pearson Product-Moment Correlation. Results revealed that the transformational leadership of school heads and teachers was very much practiced across all dimensions, with building trust obtaining the highest mean, while innovative thinking and coaching, though lowest, remained highly practiced. Parental engagement practices were assessed as always implemented, with communication as the most implemented and parental support as the least. Pearson correlation analysis showed a significant positive relationship between transformational leadership and parental engagement (r = .202–.594, p < .01), indicating that stronger leadership practices are associated with higher levels of parental engagement. Respondents encountered moderately to very challenging difficulties, particularly financial constraints, parents’ competing commitments, and low participation. Based on the findings, an intervention plan was developed to address identified challenges and further strengthen and sustain parental engagement practices in the secondary schools in Basud District.