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647 articles for “data structures”
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Integrating Co-Curricular Activities with Academic Achievement in Light of NEP 2020 and NCF-SE
Abstract: This research paper investigates the impact of co-curricular activities on the academic achievement of senior secondary students. The study emphasizes the significance of holistic development in education, where co-curricular activities (CCAs) play a vital role alongside formal academics. CCAs include a range of non-classroom engagements such as debates, music, sports, drama, arts, and community service that contribute to the cognitive, social, emotional, and physical growth of students. These activities are …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 59–66 Read article
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Performance Analysis of AES Encryption Using LFSR-Based Key Expansion in VLSI
Abstract: Secure data transmission has become increasingly important with the rapid growth of digital communication and embedded systems. Protecting sensitive information from unauthorized access requires reliable cryptographic solutions. Among the available techniques, the Advanced Encryption Standard (AES) is widely recognized for its strong security and efficient implementation in both hardware and software environments. In this work, the design and performance evaluation of an AES-based crypto processor with LFSR-driven key expansion is …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 Read article
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Impact of Training Program on Recent Innovations in Oncology Among Nursing Professionals
Abstract: Introduction: In recent years, there have been significant advancements and trends in the field of oncology treatment in India. This study aimed to evaluate impact of training program on knowledge regarding recent innovations in oncology among nursing professionals. After ethical approval, a pre-experimental, one group pretest- post-test design was used to conduct this research at anursing college of Punjab. Methods: The sample was selected using the total enumerative sampling technique. …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 9–14 Read article
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Interview Preparation System Using AI
Abstract: The automated interview evaluation system leverages artificial intelligence (AI) and natural language processing (NLP) technologies to streamline and enhance the interview process. Through a web-based application built with the Flask framework, the system enables candidates to respond to dynamically loaded interview questions using both text and speech inputs. Questions, managed via a CSV (comma separated values) file for flexibility, are evaluated for similarity to expected answers using the rapid fuzz …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 1, 2025 · pp. 8–13 Read article
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A Critical Study of Research Challenges for Self-adaptive Software
Abstract: Software systems dealing with distributed applications in changing environments normally require human supervision to proceed with activity in all conditions. These rearranging, investigating, and all in all upkeep errands prompt exorbitant and tedious strategies amid the working stage. These issues are principally because of the open-circle structure regularly followed in programming advancement. Hence, there is popularity for administration many-sided quality decrease, administration mechanization, vigor, and accomplishing the majority of the …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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Sustainable Food Packaging: Recent Advances in Biodegradable and Smart Packaging Technologies
Abstract: Fish farming is a vital source of livelihood, income, and nutritional security, especially in regions where aquaculture is embedded in local economies and culture. In India’s Mithila region (Bihar), fish (machh) holds substantial cultural, economic, and nutritional significance. This research analyzes the economics of pond-based fish production in Madhubani district, focusing on Benipatti Block, an area with high pond density. The study investigates determinants of productivity, profitability, and resource utilization, …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 59–68 Read article
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Economics of Fish Production and Marketing: A Case Study of Madhubani District in Bihar
Abstract: Fish farming is a vital source of livelihood, income, and nutritional security, especially in regions where aquaculture is embedded in local economies and culture. In India’s Mithila region (Bihar), fish (machh) holds substantial cultural, economic, and nutritional significance. This research analyzes the economics of pond-based fish production in Madhubani district, focusing on Benipatti Block, an area with high pond density. The study investigates determinants of productivity, profitability, and resource utilization, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 101–115 Read article
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AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review
Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 Read article
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Experimental Investigation of Hybrid Natural Fiber Reinforced Epoxy Composites Using Banana and Sugar Palm Fibers
Abstract: This paper is a research study that examines the mechanical and morphological properties of hybrid natural fiber reinforced epoxy composites manufactured from banana fibers (BF) and sugar palm fibers (SPF). Because the use of sustainable, lightweight, and cost effective materials in engineering continues to grow, many engineers are looking at the possibility of utilizing natural fiber reinforced polymer composites as alternatives to traditional man-made fiber composites. Hybrid composite laminate samples …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 195–205 Read article
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Smart AI-Enhanced Tool for Comprehensive Mock Interview Practice
Abstract: Job seekers often struggle with interview preparation due to a lack of structured practice, real-time feedback, and a realistic interview environment. Traditional methods, such as self-practice or mock interviews with peers, may not provide an accurate assessment of a candidate’s readiness for real-world job interviews. This research work introduces an AI-based mock interview tool designed to enhance skills based on a user's job profile. The platform is built using React …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 20–25 Read article
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From Outbreak to Output: Uganda’s COVID-19 Research Trajectory Through a Scientometric Lens
Abstract: The COVID-19 pandemic sparked an extraordinary global expansion in scientific research, with notable and growing contributions from low- and middle-income countries, including Uganda. This study presents a comprehensive scientometric analysis of COVID-19 related research output from Uganda, aiming to examine publication trends, authorship patterns, collaboration networks, source impact, and thematic focus. Bibliographic data were retrieved from the PubMed database using an advanced search strategy: “(COVID-19) OR (SARS-CoV-2)) AND (Uganda)” for …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 48–60 Read article
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Data-Driven Life Prediction of Fiber-Reinforced Polymer Composites Using IoT Sensing and Machine Learning Algorithms
Abstract: The accurate prediction of fatigue life in fiber-reinforced polymer (FRP) composites remains a major challenge due to their nonlinear, multi-mechanism degradation behavior under variable loading conditions. This study presents a data-driven framework, H-LiProNet, which combines real-time IoT sensing with hybrid machine learning to estimate remaining useful life (RUL) in FRP composites. The proposed system integrates embedded Fiber Bragg Grating (FBG) and acoustic emission (AE) sensors to capture strain and damage …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 116–130 Read article
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Cross-Border Disaster Preparedness in the Himalayas by Indian Armed Forces
Abstract: The Himalayan region, known for its immense ecological and geopolitical significance, is also one of the most disaster-prone areas in the world. Its young and dynamic geological structure, coupled with increasing human activity, has amplified the frequency and severity of natural disasters such as landslides, floods, and earthquakes. Cross-border disaster preparedness in the Himalayas, particularly by the Indian Armed Forces, has emerged as a critical component of regional stability and …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 1, 2025 · pp. 29–35 Read article
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Experimental Study on Load Transfer Mechanism in Columns Retrofitted by Bonding Precast Segments and FRP Wrapping
Abstract: An experimental study was conducted to investigate the load transfer mechanism in columns retrofitted with precast segments and Fiber-Reinforced Polymer (FRP) wrapping. As the demand for structural retrofitting grows, it becomes crucial to comprehend the behavior and effectiveness of retrofit techniques to ensure the safety and integrity of existing infrastructure. The study involved subjecting a series of column specimens to axial compression loads in order to evaluate the load transfer …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 153–165 Read article
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Improving Polymer Composite Properties Through Reinforcement Learning Guided Prototyping A Novel Approach for Material Engineering
Abstract: Innovative approaches integrating reinforcement learning (RL) and machine learning (ML) into the fields of polymer composite prototyping and soft actuator manufacturing for applications. This new an algorithm utilizing RL optimizes polymer composite fabrication parameters to enhance material properties efficiently. By iteratively adjusting parameters based on predefined objectives, the RL agent guides the prototyping process, promising to revolutionize polymer composite engineering. A finest control method for locked loop control of Shape …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 208–218 Read article
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A Sociolinguistic Perspective on Hausa Loanwords in the Kəlba Language
Abstract: Linguistic borrowing is seen as a significant source of language development and enrichment. This study examines Hausa loanwords borrowed into the Chadic language of Kəlba, which is spoken in Gombi, Hong, Maiha, Mubi North, and Mubi South local government areas of Adamawa State, Nigeria. The lingua franca in most of northern Nigeria is Hausa, one of the indigenous national languages of the region. The primary sources of data for the …
Published in Emerging Trends in Languages · Vol. 2, Issue 1, 2025 · pp. 27–32 Read article
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AI-Driven Prediction of Mechanical and Thermal Properties in Polymer-Based Functionally Graded Composites
Abstract: The proposed architecture of the current paper is an artificial intelligence (AI)-driven model of forecasting mechanical and thermal aspects of polymer-based functionally-graded composites (FGCs). Traditional micromechanical and finite element models, which are practical in homogeneous composites, might not be able to account in nonlinear interaction that is caused by compositional gradient. To overcome the challenge, machine learning (ML) models like artificial neural network (ANN), support vectors regression (SVR), and gradient-boosted …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 70–89 Read article
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Progression in multi-omics and immunological research on host-parasite interactions: Transcriptomics, proteomics, genomics, metabolomics, and immune responses
Abstract: The interaction occuring between hosts and parasites is a quick and multi step-complex biological process that tries to influence disease outcomes. In recent years, multi-omics approaches, such as transcriptomics, proteomics, genomics, metabolomics, and immunological studies, have gathered substantial eye in dissecting these interactions at a microscopic level. These techniques enable a vast understanding of the molecular structures involved in parasitic infections and host defense mechanisms. This article reviews the advancements …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 Read article
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Bird-Tree Associations and Co-occurrence Patterns in Delhi: Implications for Urban Ecological Restoration and Invasive Species Management
Abstract: Urban trees and birds are intertwined indicators of ecological resilience in cities. This study maps citywide bird-tree interactions in Delhi, India, hosting more than 300 avian species. The city was divided into hexagonal grids, and bird-tree data (506 interactions) were collected through field surveys across 131 sites using standardised 1-kilometre transects. Native keystone species like ficus supported the greatest bird diversity, while invasive Prosopis juliflora was widely used for perching …
Published in Research & Reviews : Journal of Ecology · Vol. 16, Issue 2, 2026 Read article
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Artificial Intelligence and Edge Computing in Oil and Gas: Applications, Architectures, and Operational Realities
Abstract: Artificial intelligence has arrived in oil and gas, and unlike some previous waves of digital enthusiasm in the sector, this one is sticking. Saudi Aramco analyses approximately 10 billion data point every day and reported USD 4 billion in technology-driven operational gains in 2024. ExxonMobil uses AI to increase shale well output by more than 5 percent. Shell has deployed machine learning across more than 10,000 assets using C3.ai to …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 01–06 Read article