Volume II, Issue I - January 2026
By reimagining conventional detection boundaries and encouraging collaborative instrument design, this approach contributes to the development of more resilient and scalable experimental platforms.
By consolidating recent experimental findings and theoretical insights, this work provides a valuable framework for designing next-generation metal oxide–polymer nanocomposites with tailored optical and electrochemical functionalities.
By framing mobile and IP network security as a dynamic system rather than a static architecture, this work contributes a conceptual foundation for rethinking defense strategies.
The integration of artificial intelligence encourages reflective learning by allowing students to visualize performance trends, identify areas of improvement, and set achievable goals. From an instructional perspective, these technologies assist educators in designing evidence-based training strategies and managing diverse classroom needs more effectively
The study reveals that the effectiveness of technology depends largely on institutional protocols, training quality, and communication systems among officials. Without clear operational guidelines, technological interventions may generate confusion rather than clarity.
The findings highlight the importance of integrated design methodologies that consider material properties, environmental stresses, and system-level interactions.
The paper illustrates how insights gain value only when they directly support operational or strategic objectives. The study further discusses challenges related to data quality, scalability, and result interpretation, emphasizing the need for balanced models that integrate technical accuracy with contextual relevance.
The paper focuses on narrative structures, character reinvention, symbolic reinterpretation, and thematic shifts that emerge when classical myths intersect with present-day realities.
The versatility of copper complexes extends to their antimicrobial properties, where they can disrupt bacterial membranes and inhibit protein synthesis, making them effective against various pathogens.
The study examines how features such as achievement-based messaging, reputation points, interactive emojis, and challenge-driven discussions transform ordinary communication into an engaging gameplay extension.
The study discusses the use of transmission line π-representation for short, medium, and long lines, highlighting the role of series and shunt parameters in system performance assessment.
The paper proposes a structured evaluation approach that integrates technical performance metrics with human perception measures, ensuring that explanations are not only mathematically sound but also meaningful to stakeholders.
This review paper presents a structured and critical overview of core advanced DSP concepts, emphasizing discrete linear time-invariant systems, stability analysis, transform-domain representations, and digital filter structures. Fundamental principles such as linearity, time invariance, convolution operations, and impulse response characterization are discussed as the basis for understanding complex system behavior.
This study presents a deep learning–guided framework that integrates genomic sequences with transcriptomic expression profiles to reconstruct gene functionality in a biologically meaningful manner.
The paper synthesizes recent developments in grid modernization, highlighting technical, organizational, and regulatory barriers that influence large-scale adoption of renewable energy.
The paper examines recent developments in terahertz communication as an enabler of ultra-dense connectivity and highlights the role of holographic surfaces in reshaping signal propagation, coverage control, and user interaction.
This review article surveys recent historiographical developments that foreground indigenous perspectives, subaltern experiences, and postcolonial identities as central rather than peripheral to modern historical analysis.
This paper explores the challenges, opportunities, and applications of Big Data analytics in the AI era, emphasizing its transformative potential for global industries.
The paper concludes as emerging immersive technologies, VR and AR offer students opportunities to experience interactive and simulated environments that enhance conceptual understanding, engagement, and motivation.
A comparative experimental design was implemented to evaluate microbial populations, diversity indices, soil physicochemical properties, and plant growth parameters in organically managed and conventionally managed plots.
Waste management can benefit from data-driven collection schedules and IoT-enabled bins, improving efficiency and reducing environmental impact. In public safety, predictive crime analytics and healthcare forecasting enhance emergency response and preparedness.
This review highlights the synergistic role of fundamental physics and materials engineering in shaping the next generation of PSCs, paving the way for their transition from laboratory prototypes to sustainable, high-performance solar technologies.
The review considers how poetic form—through fragmentation, silence, and rhythm—mirrors the instability of identity and questions the limits of linguistic categorisation.
This paper identifies the limitations of India’s existing Consumer Protection Act, Information Technology framework, and tort principles in addressing complex AI failures.
This review argues that the Indian judiciary holds transformative potential to redefine the relationship between labour and capital in the digital age.
It identifies ongoing challenges related to model interpretability, real-time adaptability, and scalability across heterogeneous embedded environments.
This review argues that the COVID-19 era has fundamentally reframed the historiography of epidemics, encouraging more nuanced and evidence-rich interpretations of how societies navigate the tensions between crisis, authority, and collective responsibility.
The study evaluates the implications of India’s existing regulatory mechanisms, including the Companies Act, 2013, the SEBI (Listing Obligations and Disclosure Requirements) Regulations, and the Digital Personal Data Protection Act, 2023, in addressing technology-related governance risks.
The paper concludes with a discussion on research challenges, integration prospects, and the potential of dynamic frequency cognition as a key enabler for future self-sustaining renewable energy ecosystems.
It explores the growing significance of hybrid approaches, explainable artificial intelligence (XAI), and automated ML pipelines in enhancing predictive accuracy and fostering trust in decision-support systems.
This paper asks: How do Indian and Pakistani historiographical traditions construct differing narratives of Partition, and what do these differences reveal about identity, politics, and memory in South Asia?
This research contributes to a deeper understanding of how online discourse mirrors broader societal inequalities while simultaneously offering new spaces for agency and transformation.
Organic fertilizers improved soil structure, enhanced microbial biomass, and maintained long-term nutrient balance, although initial yields were comparatively lower.
The methodology involves a mixed-methods approach: a comprehensive literature review of policy documents, scholarly articles, and government reports; qualitative analysis of case studies from implementing states; and quantitative data from UDISE+ surveys on enrollment and infrastructure metrics.
The research investigates data-centric approaches, encompassing anomaly detection, regression analysis, and neural network architectures, to discern patterns indicative of forthcoming system malfunctions.
This study investigates the influence of climate variability on the phenology of selected medicinal plants in Haryana over the past decade
The study identifies major barriers, such as limited resources, inadequate teacher preparedness, rigid curricula, time constraints, and cultural or attitudinal resistance, which can impede the adoption of innovative science pedagogies.
The proposed system equips smart dustbins with sensors to automatically capture key disposal event data, including waste type, weight, timestamp, and geolocation.
The methodology involves systematic data collection from controlled environments, cloud-based data storage and processing, and continuous evaluation of the prototype’s performance studies.
This paper examines sociocultural themes in marginalized literature alongside the shifting dynamics of media representation to highlight how literature and digital platforms together shape contemporary understandings of identity, agency, and belonging.
Digital pathways not only enhance scholarly depth but also make history participatory, reshaping modern historiography into a dynamic, data-driven field.
The paper details the transmission of astronomical models, mathematical algorithms, herbal remedies, surgical techniques, agricultural crops, and inventions such as papermaking and the compass, underscoring asymmetries in eastward-to-westward flows and evidence limitations from fragmented sources.
The study highlights that mindfulness can serve as a powerful tool for promoting teacher well-being and fostering a more engaging classroom environment.
The architecture supports remote access, allowing stakeholders to supervise system health, detect faults promptly, and schedule preventive maintenance efficiently.
The study highlights the importance of medicinal plants as natural antioxidants,reinforcing their potential in pharmaceutical, nutraceutical, and functional food applications.
Emerging tools including attosecond X-ray spectroscopy, quantum computing, and AI-driven predictive modeling promise to revolutionize mechanistic studies.
Lachhman Dev’s journey through asceticism and disillusionment with worldly power prepared him for his eventual role as Guru Gobind Singh’s appointed general, laying the foundation for Sikh political and military ascendancy.
The principles of Ram Rajya resonate with India's democratic ideals and constitutional values, promoting inclusivity and social harmony across diverse religious and ethnic groups.
Preliminary findings suggest that students participating in PBL demonstrate significant improvement in their ability to analyze, evaluate, and synthesize information.
It exploreslightweight consensus models suitable for resource-constrained IoT devices and proposes an improved architectural framework integrating blockchain with edge computing to mitigate latency and energy overhead.
The findings reveal a significant improvement in participants' fluency, highlighting the pedagogical value of task-based instruction in enhancing communicative competence.
We delve into the mechanisms through which microbes influence plant growth, disease resistance, and nutrient acquisition, emphasizing the role of beneficial microorganisms in enhancing plant resilience to environmental stressors.
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