Authors - XIAOLIN HE, CHUANCHEN BI Abstract - With the rapid development of the global health management industry and the growing awareness of personal well-being, traditional wellness practices are provided with significant opportunities for modern transformation. As an important component of traditional Chinese health culture, Health Qigong—featuring the integration of body movement, breath regulation, and mental focus—has demonstrated notable advantages in chronic disease prevention, psychological regulation, and overall health promotion. However, integration of Health Qigong into the modern health management industry continues to encounter multiple obstacles, such as insufficient standardization, limited market recognition, and a lack of diversified business models. These challenges constrain its commercialization and sustainable development. This study adopts a qualitative research approach based on secondary data and case analysis to explore emerging trends, practical models, and key barriers in the commercialization of Health Qigong. By applying Business Model Canvas (BMC) and Creating Shared Value (CSV) framework, the study proposes sustainable business pathways for Health Qigong, including course standardization, digital dissemination, membership subscriptions, corporate health partnerships, and integration with health tourism. The findings indicate that establishing standardized curricula, utilizing digital platforms, and fostering cross-sectoral cooperation can support the formation of viable commercialization models that align with contemporary health industry demands. This, in turn, may enable the global expansion of Health Qigong as a sustainable health intervention. The results not only offer theoretical support for the modern promotion of Health Qigong but also provide practical insights for the commercialization of traditional cultural products within the health sector.
Authors - Aditya Dere, Bharati Dixit Abstract - The world of AI is has gone through tremendous advancements in over last decade. AI journey started from Algorithmic Intelligence and Linguistic Intelligence, and is moving towards Imaginative intelligence. This generative AI’s historical journey is focused on generating realistic texts and images through the means of early models like autoencoders and variational autoencoders (VAEs). From creating simple and coherent images from basic textual descriptions using Generative Adversarial Networks (GANs) and models like DALL-E in text to image generation, the AI leaped towards generating coherent frames which aligned for improving video quality, length, and the ability to generate more complex scenes in video with natural transitions in the field of text to video generation. The T2V models made use of models such as diffusion model, transformer model and the latest and the best one which is diffusion transformer model (DiT model). This paper basically gives us the overview of text to image and text to video generation models and their advancement in the field of generative AI.
Authors - Lyndon Avendano Abstract - The Philippine tourism sector significantly contributes to the national GDP, hence continuous improvements is necessary to achieve competitive advantage within the region, evidently the hotel industry plays an integral role in this objective. Several studies posits that effective Supply Chain Management (SCM) is crucial for competitive advantage and customer satisfaction in the hotel industry. Given today's technological advancements, integrating technology into SC operations is imperative. This study investigates the nuances of Internet of Things (IoT) integration within Hotel Supply Chain and its perceived contribution to supply chain performance from the perspective of various SC functions. This research posits that IoT integration can foster competitive advantage in hotel supply chains, enhancing their reliability, responsiveness, realignment, and resilience against disruptions. The analysis revealed a consistent, moderate perceived contribution of IoT integration across all four SC performance dimensions: Responsiveness, Reliability, Realignment, and Resilience. Further analysis indicated: Logistics demonstrated the highest overall perceived IoT contribution particularly strong in resilience, highlighting IoT's role in tracking and disruption management. Demand Planning showed the highest mean for realignment suggesting IoT's strength in data analytics for market adaptation. A significant difference was also noted for resilience across functions. These findings emphasize understanding each supply chain function's unique needs for effective IoT implementation. The results offer valuable insights for hotel operations aiming to strategically leverage IoT to optimize supply chain performance and gain a sustained competitive advantage in the dynamic hotel industry. Future research should delve deeper into factors driving these functional variations and explore tailored IoT applications.
Authors - Bharathidasan, Dhivyalakshumi, Vasanthi Abstract - This paper investigates an innovative, community-driven model of vulture conservation developed by Arulagam, an environmental NGO operating within the Nilgiri Biosphere Reserve in Tamil Nadu, India. Declination of vulture population due to the misuse of non-steroidal anti-inflammatory drugs (NSAIDs) in veterinary care, has been observed in recent decades. This study examines how Arulagam's interdisciplinary approach combines scientific outreach, cultural engagement, and stakeholder collaboration has evolved into a replicable model for sustainable ecological entrepreneurship. Using qualitative methods, including in-depth interviews, field observation, and campaign-based ethnography, this study documents how interventions such as pharmacist sensitisation, ethno-veterinary advocacy, school programs, and mobile awareness drives have contributed to the formation of Vulture Safe Zones (VSZs). It highlights how creative mediums like shadow puppetry, murals, and mythological storytelling have shifted negative public perceptions of vultures and introduced conservation ethics within local communities. This paper also explores entrepreneurial pathways emerging from the conservation framework, including eco-tourism, ethical livestock branding, and native plant nurseries. Emphasizing on the principles of nature-based solutions and aligned with SDG 15 (Life on Land), this study proposes a measurable intervention model that merges biodiversity protection with livelihood generation, offering policy-relevant insights for governing conservation in other biodiversity hotspots.
Authors - Md Shahim Uddin Saba, Mohitul Shafir, Md Zahid Hasan, Md Asfaqur Rahman, Farhan Khan, Mahady Hasan, Farzana Sadia Abstract - Social media has reshaped customer engagement, leading to widespread use of digital marketing. However, the effects of specific social media marketing practices on purchase decisions, participation, and brand loyalty remain underexplored. This study investigates the impact of social media marketing activities on consumer behaviour in Bangladesh’s technology product sector. Based on a quantitative survey and Structural Equation Modeling (SEM) using SmartPLS 4, the results show that both social media marketing and customer experience significantly influence behavioural outcomes. The findings provide strategic guidance for brands that seek to strengthen engagement in competitive digital markets.
Authors - Jasleidy Astrid Prada Segura, Efren Danilo Ariza, Maria del Pilar Corredor Garcia, Eduard Ricardo Espinosa Armero Abstract - The objective of this research is to design a comprehensive model aimed at reducing credit risk in the solidarity sector. This effort seeks a substantial improvement in the efficiency of the recovery of non-performing loans, considering that this process involves a significant level of risk. It is an applied and mixed research in terms of its sources of information, the scope is exploratory and explanatory, and the approach is quantitative. The model contains crucial parameters for effective risk mitigation. It should be noted that, as additional support, information from the sectoral analysis of the cooperatives in the report of the Superintendencia Solidaria and portfolio balances by city and entity with cutoff to 2021 and 2022 generated by the Superintendencia Solidaria will be used to support the current situation of the portfolio in the solidarity sector in Colombia. The methodology developed in this research can be extrapolated and applied in other regional contexts and economic sectors, offering a valuable tool to address credit risk and strengthen the solidarity economy in Colombia.
Authors - Neha A. Samsir, Arpit A. Jain Abstract - With the pandemic taking a serious impact, it is becoming progressively clearer that India needs to boost funding and develop its healthcare system. The integration of Information and Communication Technology (ICT) into the healthcare sector is transforming healthcare systems worldwide by improving patient access to and availability of healthcare services. A basic requirement for utilizing ICT in healthcare is having an electronic health record. It is a digital record that combines patient health information and is utilized for handling data, educational purposes, research, and reference purposes. Cloud-based electronic health records are constantly evolving and have transparency, trust, and confidentiality, they are vulnerable to several security and privacy threats. In the new Digital India, digital health (DH) plays a big role in healthcare. Utilizing technology, the audacious goal of offering universal health coverage—first to 500 million citizens with low incomes— is being accomplished. The widespread adoption of electronic health records (EHRs) has presented several obstacles, even though they have transformed healthcare by facilitating rapid access to patient information. The implementation of EHRs raises ethical and legal concerns, which are examined in this study with a specific emphasis on the Indian healthcare system. The implementation of EHRs should be guided by ethical issues, including medical beneficence, fairness, autonomy for patients, confidentiality, and beneficence. Strong regulations and security measures are essential considering legal difficulties such as medical errors, data breaches, and billing discrepancies. This paper aims to analyze all the legalities and medical issues of storing EHR using Blockchain Technology.
Authors - Sudhir B.Agarmore, Hemant S.Mahalle Abstract - This research paper analyses the key determinants affecting LAN performance and articulates algorithmic solutions for improving the efficiency of such networks. Elaborating on factors like bandwidth, latency, packet loss, and congestion, against the backdrop of cutting-edge algorithmic interventions, inclusive of dynamic routing, congestion control, and traffic engineering, this current research offers a comprehensive insight into the augmentation of LAN performance. A local area network is a major part of any modern computing infrastructure. The user experience and productivity depend to a great degree on their performance; at the same time, the overall network efficiency depends on them. This paper explores the main factors of LAN performance and examines algorithmic solutions to optimize these factors. Such factors that will be discussed are the impact of network topology, traffic patterns, hardware capabilities, software configuration, and their effective combinations on LAN performance. We will also investigate some higher-level algorithms, such as those for congestion control, routing protocols, and QoS mechanisms, which help increase network throughput, reduce latency, and deal with reliability in data transmission. Proper understanding of these determining factors and implementing the relevant algorithmic solutions significantly improve performance and reliability in organizational LANs.
Authors - Shaily Sharma, Disha Shah Abstract - Hormone level fluctuation is connected with several health problems affecting human beings. To properly managing and diagnosing hormone levels, it is essential to understand hormonal imbalance and its detection. Commonly the levels of hormones were detected with the help of laboratory tests like chromatographic methods and immunoassays which gives accurate results but are very slow process and there is no real time detection proficiency. Hormone monitoring is crucial and wearable devices are progressing very effectively with the help of biosensors to monitor hormones to provide better understanding of health control. This review paper is focusing on the theory of hormones, hormonal imbalance indicators, and detection approaches which are available. Several tests for diagnosing hormone level imbalance were investigated including chromatographic techniques (HPLC, GC-MS), biosensors and immunoassays (ELISA, RIA) while also focusing on machine learning including deep learning algorithms, pattern recognition, regression, classification to provide customized treatment. Deep learning approaches like CNN (Convolutional Neural Networks) and Supervised learning approaches like SVM (Support Vector Machine) and Random Forests have demonstrated encouraging uses in real-time monitoring and the prediction of hormone related diseases. The review also highlights wearable devices available for hormonal levels monitoring, comparison of wearable sensors like electrochemical, optical and microfluidic systems. By empowering real-time surveillance of hormone level imbalances and promoting early detection, diagnosing and illness prevention, these advancements have improved conveniency. According to the research, combining Machine learning (ML) algorithms with wearable biosensors can transform monitoring of hormone levels may result in better results and can provide early medication.
Authors - Sneha Sarah Alex, Jains P Chacko Abstract - This study explores the evolution of venture capital (VC) research through a bibliometric analysis of 2,577 journal articles from 1972 to 2022, using Scopus, VOSviewer, and Biblioshiny. It identifies five key research clusters: private equity and IPOs, entrepreneurship, innovation, human capital, and institutional factors. Highly cited works highlight VC’s impact on firm performance, governance, and innovation. Emerging themes include syndication, decision-making dynamics, globalization, and sectoral shifts like biotech. Grounded in agency, human capital, and institutional theories, this study provides insights for researchers, investors, and policymakers, while also suggesting broader future research directions.
