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Innovative Frameworks for LMS Integration in Public Education: Balancing Local Needs with Global Standards
India has made significant progress in using digital technology in education, with Learning Management Systemsplaying a key role. LMS offer scalable platforms for content delivery, assessment, and engagement, enhancing both teaching and learning. They enable personalized learning, simplify administrative tasks, and bridge the digital divide, improving accessibility across geographies. One such initiative, eVidya, provides digital content to school students. This study explores the role of LMS in public education and the challenges of integrating them into government schools, balancing local needs with global standards. The paper analyzes LMS evolution, key features, and benchmarks, with a detailed review of India's DIKSHA system and comparisons with international platforms like Google Classroom, Canvas, Moodle, and Schoology. It looks at country-specific LMS solutions from the US, Europe Australlia and Asia. The research proposes the Integrated eVidya-LMS Implementation Framework for Karnataka's schools, highlighting the potential benefits for India's digital education landscape. 2026, IGI Global Scientific Publishing. All rights reserved. -
A Study on Restrained Geodetic Domination in Graphs
In a graph G = (V, E), the shortest path between any two vertices u and v in G is u and#8722; v geodesic. This distance concept leads to the introduction of geodetic set and geodetic number which has wide applications in location theory and convexity theory. A vertex subset S of a graph G is said to be a geodetic set, if all vertex in G is in u and#8722; v geodesic for some pair of vertices u and v in S. The minimum cardinality of such a set is the geodetic number and is denoted as g(G). A vertex subset M of a graph G is said to be a dominating set of G if for all vertex v and#8712; V (G), either v and#8712; M or v is adjacent to a vertex in M. The minimum cardinality of such a set is the domination number and is denoted by and#947;(G). In general, the geodetic set and newlinethe dominating set of a graph need not be the same. This led to the study of the geodetic dominating set. If a geodetic set S is a dominating set of a graph G, then S is called a geodetic dominating set. The minimum cardinality of such a set is the geodetic domination number, which is represented by and#947;g(G). There are several studies done on the geodetic and domination concepts so far. In the present study, we have explored the concept of restrained geodetic domination and its structural properties in graphs particularly in product graphs and derived graphs. A vertex subset S of a graph G = (V, E) is called a restrained geodetic dominating set if S is a geodetic dominating set of G and lt V and#8722; S gt has no isolated vertex. The minimum cardinality of such a set is called restrained geodetic domination number, which is denoted by and#947;gr(G). We have studied this concept for diand#64256;erent classes of graphs and concerning the graph operations such as Cartesian product, corona product, and join of graphs. Further, the study is extended to restrained geodetic domination in derived graphs such as edge subdivision graph, line graph and power of a graph. Also, investigated the properties of graphs with the restrained geodetic domination number equal to the order of the graph. -
'Maritime Big Play Strategy': Solidifying the role of Aukus in the Indo-Pacific region
The Indo-Pacific region is undergoing substantial shifts, driven by China's rising influence and the increasing importance of maritime security. As a result, in 2021, Australia, the United Kingdom, and the United States formed a trilateral security agreement known as AUKUS. This alliance addresses concerns in the region about China's military buildup, economic projects such as the Belt and Road Initiative, and assertive actions over the South China Sea. The strong, well-coordinated presence of AUKUS is intended to protect navigation freedoms, enforce international standards, and ward off aggression. In response, technology and information sharing are prioritized, along with improving defense capabilities, such as building Australia's nuclear-powered submarines. Furthermore, to promote stability in the Indo-Pacific, AUKUS has supported its members' defense industries. This paper assesses AUKUS's impact as a new regional partnership and explores how it is perceived among countries in the Indo-Pacific region. The paper views this phenomenon through a theoretical construct of liberalized militarism propounded in 2024. A conceptual case study approach with mixed methods has been employed to determine the significance of this international organization for India and other regional actors involved. The key themes covered in the paper include innovation and technical know-how advancements in defense and security to increase supply chain resilience, which has raised nuclear proliferation concerns for the intercontinental actors involved. Today, AUKUS stands as a vital global force, changing the trajectory of world politics away from hegemony toward armed harmony enhancing interoperability cooperation among its member states. This makes this paper crucial for academia to be aware of this growing alliance partnership, which is changing regional and international dynamics. 2025 Malque Publishing. All rights reserved. -
Maritime geopolitics and mental health: socio-psychological impacts on strategic tension in the Indian Ocean coastal communities
Purpose This paper aims to explore how maritime geopolitical tensions, especially between China and India, exist in the Indian Ocean Region (IOR) and impact the mental health and social inclusion of coastal communities. While most strategic analyses focus on military and economic factors, this research incorporates human security perspectives. Design/methodology/approach Using an interdisciplinary framework that combines developmental psychology, strategic studies and geopolitical field analysis, this conceptual study highlights understudied mental health risks through qualitative case studies and secondary data from the IOR. Findings The results indicate that in regions of militarized maritime development, anxiety, chronic stress, identity displacement and communal fragmentation are becoming more common. Stressors include foreign intervention and strategic uncertainty. A disproportionate number of women, children and displaced workers are impacted. Originality/value This study, to the best of the authors knowledge, is one of the first to link psychological health at the grassroots level with maritime security strategy, urges policymakers to incorporate human-centered approaches into regional and national security planning. This study argues that growing strategic anxiety necessitates an integrated approach to national security, one that considers mental health and human security, particularly in regions such as Sri Lanka, the Maldives, Lakshadweep and the Andaman and Nicobar Islands. 2025 Emerald Publishing Limited -
Innovative fish peptide-loaded chitosomes: Advancing bioactive delivery through comprehensive in vitro and in vivo assessments
Considerable advancements have been achieved in controlled delivery systems, yet ensuring optimal stability, bioavailability, and precise targeting of bioactive compounds continues to present challenges. Addressing this gap, the present study explores chitosomeslipid vesicles stabilized by chitosanas a promising approach to enhance the delivery efficiency of bioactive molecules. This study investigate fish peptide-loaded chitosomes, leveraging chitosan's biocompatibility, biodegradability, and encapsulation capabilities. A comprehensive evaluation was conducted under both in vitro and in vivo conditions to assess their potential applications. In vitro studies using L929 cell lines demonstrated high biocompatibility, efficient cellular uptake, and sustained cell viability, with a dose-dependent cytotoxicity profile, leading to early and late apoptosis. The tolerance, favourable metabolic stability, and biomarker responses were validated by in vivo evaluations in Albino Wistar rats, demonstrating systemic efficacy and safety. Moreover, the peptide-chitosome formulation demonstrated a lipid-lowering impact, as evidenced by increases in high-density lipoprotein (HDL) and unsaturated fatty acids and decreases in triglycerides, saturated fatty acid content, and low-density lipoprotein (LDL). These findings highlight the potential of fish peptide-loaded chitosomes as an advanced bioactive delivery system, addressing existing limitations and expanding their applicability in nutraceutical and therapeutic formulations. 2025 The Author(s) -
Ruthenium phosphate-embedded poly-(3,4 diaminobenzoic acid)-based electrode for enhanced sensing of 2,4-dichlorophenol in water samples
2,4-Dichlorophenol (2,4-DCP) is found to have a prevalent application in synthesizing many industrial materials, meanwhile leading to toxicological effects on human health and aquatic life. This work demonstrates the construction of a highly responsive electrochemical sensing platform for 2,4-DCP, based on ruthenium phosphate electrodeposited over poly-(3,4 diaminobenzoic acid)-loaded carbon fiber paper (Ru-Pi/PDABA/CFP). Surface modification of the conducting polymer with Ru-Pi improves electrocatalytic performance by enhancing available electrocatalytic sites and rapid charge transmission channels. The developed electrode was characterized using XRD, XPS, and SEM studies to substantiate the formation of Ru-Pi/PDABA/CFP hybrid material, and electrochemical studies further evidence the improved electrochemical performance upon electrode modification. Cyclic voltammetric studies showcased 2-fold enhanced catalytic activity of Ru-Pi/PDABA/CFP compared to the bare CFP. Differential pulse voltammetric outcome corroborated outstanding electroanalytical metrics towards 2,4-DCP, unveiling an appreciably minimal limit of detection (LOD) of 1.47 nM and a low quantification boundary (LOQ) of 4.37 nM in a wide concentration-response linearity of 5 450 nM. The interferences from foreign substances produced only negligible signal modulations (<4.6 %) on the current amplitude of 2,4-DCP, validating the sensor's excellent selectivity towards the target analyte. Further, the application of Ru-Pi/PDABA/CFP was extended for the 2,4-DCP assay in actual tap and lake water samples. 2025 -
Scribble and Learn-A Leaner Centric Approach
This innovative practice full paper describes a creative learning method that support collaborative, creative visual leaning by improving the happiness index in classroom environment. Teamwork and creativity are limited in traditional classrooms that emphasize individual learning and technology dependence. This study offers 'Scribble and Learn,' a novel instructional tool for Cognitive Psychology and artificial intelligence courses to fill this need. 'Scribble and Learn' uses unique scribbling to encourage active participation and collaboration. Team research with limited technology is done by students. This constraint promotes teamwork and communication as they uncover and study memory performance determinants. Teams use keywords and images to communicate their findings on a huge writing surface after this research phase. This 'scribbling' approach accommodates varied learning styles and stimulates creative knowledge expression, creating a dynamic learning environment beyond lectures. Teams present and discuss their findings in a moderated class discussion. This conversation improves Cognitive Psychology and AI memory performance theory knowledge. 'Scribble and Learn' improves teamwork, creativity, and memory. Positive student feedback shows that the exercise promotes active learning and participation. In a class discussion that is moderated, teams present and discuss the discoveries that they have uncovered. The knowledge of cognitive psychology and artificial intelligence memory performance theory is improved by this discourse. The fact that the activity gets positive feedback from students demonstrates that it encourages active learning and involvement. 2025 IEEE. -
TinyML Empowering Intelligent Edge Devices
Tiny Machine Learning (TinyML) bridges the gap between artificial intelligence and low-power embedded systems, enabling devices like microcontrollers to process data locally and operate autonomously. This chapter explores the foundational principles of TinyML, its applications across industries such as IoT, healthcare, industrial automation, and environmental monitoring, and the tools enabling its deployment. It also addresses challenges, including energy efficiency and model optimization, while providing insights into future advancements such as federated learning and neuromorphic computing. This chapter offers a comprehensive understanding of TinyML's transformative potential and its pivotal role in AI-based engineering solutions. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Acculturation and adaptation experiences of third generation adolescent migrants of Andaman and Nicobar islands
Andaman and Nicobar Islands saw movement from 1857 amid the reformatory settlement design of the British Government followed by Independent relocation after 1947. The relocation makes a heritage of acculturation and adaptation experiences of the migrants and their descendants. The administration stretched out certain facilities to the migrants like job reservation, simple access to government jobs in the Islands, reservation for higher education and so forth amid the 50's, 60's and 70's. The number of inhabitants in the Islands has now come to a disturbing level and the facilities and opportunities have contracted down, yet individuals have not changed their outlook rather and for them, everything stays in and around the Islands. This study aims to understand the acculturation and adaptation experiences of the third generation adolescent migrants of Andaman and Nicobar Islands. The study proposes to follow the methodology based on grounded theory. Using Theoretical sampling method, third generation adolescent migrants of the Islands were recruited for the study. The average age of the participants recruited for this study is 18.6 years with 83% of them are male and the remaining 17% are female. Individual interview sessions, lasting approximately 45 to 90 minutes were conducted with the participants to know how their acculturation and adaptation experiences. The transcripts of the interviews were thematically analyzed with the help of Nvivo 10. The transcripts were dissected and 1950 codes from 7903 text segments which became the main foundation for the analysis of data. The codes were further reduced into 54 basic themes, again into 21 organizing themes and finally into 05 global themes. The process of acculturation, psychological adaptation, socio-cultural adaptation, influencing factors and academic aspiration were the global themes which became the building block for five thematic networks addressing the main and specific objectives of the study. -
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IoT Based Risk Monitoring System
The Internet of things (IoT) aims at connecting different objects, things using internet. The IoT is expanding rapidly and this motivates to apply for the food preservation domain such as preserve the standard of the veggies and fruits. In this paper we have worked on a cold storage system to analyze the environmental conditions under which the food item is being stored. The proposed system senses the temperature, moisture, gas parameters of surrounding environment as these parameters affect nutritional values of food items. An Arduino-based system is created and put into operation; it serves as both a central hub and a network layer for the refrigerated holding tank. It is also linked to the cloud, where an open-source application server supports digital storage functions. By establishing a connection to the database (DB) via its IP address, the measured variables are delivered to the base station (BS) from the cloud and stored there. Then, a cooperative sensing model that uses many observed information as input and one merged informational item or action to be performed as output is tried. As a result, numerous inputs, such as temperature and humidity, were combined and averaged to provide a tightly integrated result. Last, the system integrated an android mobile application which is used to facilitate user interaction and connect through IoT based system that is station or gateway and the internet. GPS is Used to track the remote cold storage and transport container live locations. 2022 IEEE. -
Transforming workplace stress: The importance of neuroleadership for building resilient work environment
Workplace stress is a common issue that can significantly impact both employees and employers. This study explores the dynamic intersection of workplace stress and the emerging field of neuroleadership, offering insights into fostering resilient work environments. Drawing on the principles of neuroleadership, the chapter highlights how an understanding of neuroscience can inform leadership practices and contribute to creating resilient workplaces. This chapter discusses the neurological basis of stress and the role of leaders in mitigating its effects. It explores emotional intelligence in leadership and the impact of organisational culture on stress resilience. The chapter suggests practical interventions like mindfulness practices and supportive work environment initiatives grounded in neuroscience to cultivate a culture of wellbeing. By adopting resilient leadership strategies and understanding the neuroscience of stress, organisations can create environments that promote employee wellbeing and navigate the challenges of the modern workplace. 2024, IGI Global. All rights reserved. -
Neuroleadership strategies: Elevating motivation and engagement among employees
In the ever-evolving landscape of the modern era, organizations face the ongoing challenge of maintaining motivated and engaged employees. Despite the substantial body of research on this topic, many organizations still struggle to effectively promote engagement and motivation among their employees. This research aims to investigate the application of neuroleadership strategies in addressing this issue. The SCARF model, based on neuroscience principles, provides a valuable framework for understanding neuroleadership strategies which address social and emotional triggers that impact engagement and motivation. It can be effectively used to drive motivation and engagement in the workplace by addressing the fundamental social and emotional needs of employees. This study employs a quantitative approach which assesses the 321 employees from different organizations in India. The results of the study would provide leaders with practical insights to boost motivation and engagement in organizations and thereby improve the effectiveness of the organization. 2024, IGI Global. All rights reserved. -
IoT Based Enhanced Safety Monitoring System for Underground Coal Mines Using LoRa Technology
Extracting coal from Underground mine is a hazardous and tough job that needs continuous monitoring of environmental conditions to protect workers health and safety. Though some research works have explored wireless monitoring devices for underground mining, such as ZigBee and Wi-Fi technologies, they come with inherent restraints for instance restricted coverage, susceptibility to interference, reliability issues, security concerns, and high-power consumption. An Enhanced Safety Monitoring System for coal extraction from Underground Mines, employing LoRa communication technology for the effectual transmission of collected data to overcome existing challenges is discussed in this paper. The proposed system consists of two subsystems, one for monitoring the status of miners and another for comprehensive monitoring. LoRaWAN (Long Range Wide Area Network) is a multipoint protocol and this media access control (MAC) enables low-power devices to establish communication with Internet of Things (IoT) applications over extended wireless connections for long-range networks. LoRaWAN operates on lower radio frequencies, thereby providing a longer range of communication. This technology is known for its efficiency in optimizing LPWAN, offering extended range, extended battery life, robustness, and cost-effectiveness, making it highly suitable for industrial mining applications. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Smart Embedded Framework of Real-Time Pollution Monitoring and Alert System
The sustainability and progress of humanity depend on a clean, pollution-free environment, which is essential for good health and hygiene. Huge indoor auditorium does not have proper ventilation for air flow so when the auditorium is crowded the carbon di-oxide is emitted and it stays there for many days this may be a chance to spreading of COVID-19 and other infectious diseases. Without proper ventilation virus may present in the indoor auditorium. In the proposed system, emissions are detected by air, noise, and dust sensors. If the signal limit is exceeded, a warning is given to the authorities via an Android application and WiFi, and data is stored in cloud networks. In this active system, CO2 sensor, noise sensor, dust sensor, Microcontroller and an exhaust fan are used. This ESP-32 based system is developed in Arduino Integrated Development Environment (Aurdino IDE) to monitor air, dust and noise pollution in an indoor auditorium to prevent unwanted health problems related to noise and dust. More importantly, using IoT Android Application is developed in Embedded C, which continuously records the variation in levels of 3 parameters mentioned above in cloud and display in Android screen. Also, it sends an alert message to the users if the level of parameters exceeds the minimum and maximum threshold values with more accuracy and sensitivity. Accuracy and sensitivity of this products are noted which is very high for various input values. 2022 IEEE. -
Hyperledger Fabric as a Secure Blockchain Solution for Healthcare 4.0 Framework
The healthcare sector deals with extremely sensitive information that must be administered in a safe and confidential way. The objective of the proposed framework is to utilize Blockchain Technology (BT) for tracking medical prescriptions and the implementation is carried out using the Hyperledger Fabric platform, an enterprise-grade open-source distributed ledger technology platform designed for Bigdata applications. Multiple entities, including patients, e-pharmacies, pharmacies, doctors and hospitals can establish connections by introducing several nodes in the Fabric chain. A web-centered application is provided for doctors, connecting them with participating pharmacies, hospitals and e-pharmacies through which, they can share patient prescription. Pharmacies and e-pharmacies have access to this data and can notify patients about the availability of prescribed medicines. Additionally, reminders for refills, such as heart medication, can be sent for patients requiring long-term medication. Patients can also try with nearby pharmacies and the availability of their prescribed medicines. The inclusion of a wallet feature in the application enables patients to use mobile tokens for making purchases. Patient data is treated with the utmost confidentiality, kept private, and accessed only upon request and with the consent of the concerned parties. This privacy is ensured through the use of zero-knowledge proof. Patients retain access to their complete medical history, facilitating interactions with doctors without the need for repetitive information sharing. 2023 IEEE. -
Human activity recognition using wearable sensors
The advancement of the internet coined a new era for inventions. Internet of Things (IoT) is one such example. IoT is being applied in all sectors such as healthcare, automobile, retail industry etc. Out of these, Human Activity Recognition (HAR) has taken much attention in IoT applications. The prediction of human activity efficiently adds multiple advantages in many fields. This research paper proposes a HAR system using the wearable sensor. The performance of this system is analyzed using four publicly available datasets that are collected in a real-time environment. Five machine learning algorithms namely Decision tree (DT), Random Forest (RF), Logistics Regression (LR), K-Nearest Neighbor (kNN), and Support Vector Machine (SVM) are compared in terms of recognition of human activities. Out of this SVM responded well on all four datasets with the accuracy of 77%, 99%, 98%, and 99% respectively. With the support of four datasets, the obtained results proved that the performance of the proposed method is better for human activity recognition. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. -
A Review on Fish Skin-Derived Gelatin: Elucidating the Gelatin PeptidesPreparation, Bioactivity, Mechanistic Insights, and Strategies for Stability Improvement
Fish skin-derived gelatin has garnered significant attention recently due to its abundant availability and promising bioactive properties. This comprehensive review elucidates various intricacies concerning fish skin-derived gelatin peptides, including their preparation techniques, bioactive profiles, underlying mechanisms, and methods for stability enhancement. The review investigates diverse extraction methods and processing approaches for acquiring gelatin peptides from fish skin, emphasizing their impact on the peptide composition and functional characteristics. Furthermore, the review examines the manifold bioactivities demonstrated by fish skin-derived gelatin peptides, encompassing antioxidant, antimicrobial, anti-inflammatory, and anticancer properties, elucidating their potential roles in functional food products, pharmaceuticals, and nutraceuticals. Further, mechanistic insights into the functioning of gelatin peptides are explored, shedding light on their interactions with biological targets and pathways. Additionally, strategies aimed at improving the stability of gelatin peptides, such as encapsulation, modification, and integration into delivery systems, are discussed to extend the shelf life and preserve the bioactivity. Overall, this comprehensive review offers valuable insights into using fish skin-derived gelatin peptides as functional ingredients, providing perspectives for future research endeavors and industrial applications within food science, health, and biotechnology. 2024 by the authors. -
Barriers to Smart Home Technologies in India
Smart home technologies (SHT) are critical for effectively managing homes in a digital society. However, SHTs face challenges related to their limited use in developing country contexts. This study investigates the factors that act as barriers to SHT adoption among individuals in Bengaluru, India. The roles of perceived risk, performance and after-sale service, and demographics in using smart home technologies (SHT). This study used the data from the primary survey of 133 respondents. The collected data were analyzed using regression analysis. The results supported five of the proposed hypotheses, namely, perceived performance risk, perceived financial risk, perceived psychological risk, and technological uncertainty, which influence the Behavioral intention to adopt SHT. However, service intangibility is influenced by performance risk. Income and age influence the psychological risk and adoption of SHT. The study identifies the barriers to SHT adoption. The supportive environment for SHT needs to be strengthened to reduce the associated risks. IFIP International Federation for Information Processing 2024. -
Value addition to international students' exchange programs through engagement in services
Social responsibility has been an emerging concept in Higher Educational Institutions in India. Promoting social responsibility through international students' exchange programs helps students' capacity to improve their cultural, social and service knowledge to bring about sustainable and meaningful development. This chapter looks at the impact of the interventions of international students in slum communities, especially working with children and women for their academic, health and economic empowerment. This was a qualitative study using a self-structured interview schedule. Data were collected from twenty international students from universities of Norway and the Netherlands who were placed in urban slums for five years and thirty children and women from urban slums of Bangalore who benefitted from this program. A purposive sampling method was used, and the data were analyzed using thematic analysis. This chapter reveals the development of children and women through international students' programs and helps showcase further planning for innovative programs for vulnerable populations. Attitudes of both groups towards cultural differences and the expectation and effectiveness of the exchange program may also be described in this chapter. This chapter intends to help plan international exchange programs from different dimensions benefiting the slum communities for their development and sensitizing cultural differences from different perspectives. 2024 Nova Science Publishers, Inc.