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983 articles for “DRA”
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Challenges, Risks, and Limitations of Vibe Coding in AI-Assisted Software Development
Abstract: Vibe coding is a new way of programming driven by LLMs (large language models). It helps developers write code from natural language. Developers can use prompts with artificial intelligence (AI) for code generation. AI assistants generate software directly through text. They can now perform tasks and understand user requirements. This process makes software development faster and easier for developers, but vibe coding has some drawbacks. Sometimes, it leads to security …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 43–48 Read article
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Future-Ready Communication Systems: Exploring High-Speed, Adaptive, and Secure Network Solutions
Abstract: The domain of electronics communication systems has experienced rapid transformation due to the growing demand for high-speed, reliable, and intelligent communication networks. This paper presents a comprehensive analysis of emerging trends such as Fifth Generation (5G) communication systems, Internet of Things (IoT), Artificial Intelligence (AI)-enabled networks, Software-Defined Networking (SDN), optical communication advancements, and cybersecurity mechanisms. The combination of cloud computing, edge computing, and network virtualization which improve system flexibility, allow …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 · pp. 32–38 Read article
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DRIVER ANTI-SLEEP ALARMING AND PROTECTION
Abstract: Road accidents due to driver drowsiness is one of the biggest problems worldwide, which kills thousands of people every year. Fatigue slows the reaction time, reduces the concentration, and, most importantly, impairs the judgment, thus making drowsy driving as dangerous as drunk driving. To reduce such accidents, various technologies have been employed to develop driver anti-sleep devices. These include sensor-based detection, camera-based eye monitoring, EEG analysis, and real-time alert systems. …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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Assessing Taila Bindu Pariksha as a Diagnostic and Prognostic test for Diabetes Mellitus
Abstract: Ayurveda has consistently emphasised on not just treatment of a disease but also how to diagnose it and further assess the prognosis. Ayurveda is blessed with different diagnostic tests which is broadly classified into Roga and Rogi Pariksha such as Ashtavidha Pariksha, Dashavidha Pariksha and Dwadashavidha Pariksha. These tests are used very rarely by just few Ayurvedic practioners as an important diagnostic and prognostic methods in different diseases. Taila Bindu …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 2, 2026 · pp. 1–5 Read article
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Dual Nozzle 3D Printing of Basalt Fiber–Reinforced Polymer Composites
Abstract: Additive manufacturing or 3Dprinting involves building a three-dimensional object by layering materials based on a computer-created design. Generally, 3D printing using single nozzle process where as strength, quality, wastage, and post reinforcement are drawback of this system. To eliminate and to enhance strength, precise control of fiber reinforcement, good bonding, no need of secondary reinforcement the dual nozzle 3D printing is an emerging additive manufacturing technique. In this process the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 620–630 Read article
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Polymers and Composites in the Design and Construction of Unmanned Aerial Vehicles: A Comprehensive Technical Review
Abstract: The emergence of Unmanned Aerial Vehicles (UAVs) over the last few years has mostly been made possible by breakthroughs in material science. This review is concerned with an overview of some of the polymers and composites that are being commonly used in drone manufacturing in recent times, especially in relation to the influence of material choice on drone performance and capability. It sheds light on the drastic change in the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 874–882 Read article
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Fracture Analysis of Functionally Graded Material (FGM) Plates Using Extended Finite Element Method: A Review.
Abstract: Functionally Graded Materials (FGMs), have drawn a lot of interest in various engineering applications due to their superior mechanical properties and ability to withstand extreme conditions. Fracture analysis in FGMs focuses on understanding how cracks initiate and propagate within these complex materials. The stress distribution becomes irregular due to spatial property variations which produces different crack paths than what occurs in homogeneous materials. The examination of FGM plates under fracture …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 9–15 Read article
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Investigating mosquito innate immune defence mechanism towards malaria vaccine development
Abstract: Mosquito-borne diseases weigh heavily on public health across the globe. The mosquito’s innate immune system certainly decides whether malaria parasites survive inside the vector, and that sighted it as a logical place to discover new vaccine ideas. In this review, we examine how Anopheles mosquitoes defend themselves against Plasmodium parasites and how those defenses could be turned into tools for malaria control. We focus on three layers of immunity: antimicrobial …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 50–54 Read article
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Contextualising health-disaster risk reduction pillars for under-resourced rural secondary schools in Limpopo Province, South Africa
Abstract: School communities in under-resourced rural settings face a disproportionate burden of health-related disasters, including outbreaks, water and sanitation failures, food insecurity and compound events that disrupt learning and wellbeing. Yet school based disaster risk reduction (DRR) evidence in Southern Africa is uneven with limited empirically guidance tailored to the organisational and infrastructural realities of disadvantaged schools. Drawing on the Comprehensive School Safety Framework and the World Health Organization's Health Emergency …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 124–135 Read article
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Advancements in Battery Storage Technology for Renewable Energy Systems: Improving Reliability and Efficiency of Sustainable Energy
Abstract: Advances in battery storage technology are critical to improved reliability and efficiency of renewable energy systems, underpinning a sustainable energy future. Innovations exist in many different kinds of battery technologies- being developed and tested, and the leading contenders include innovations such as lithium-ion and sodium-ion, and much newer entrants like the solid-state and lithium-sulfur batteries. These developments respond to growing needs for sustainable solutions towards better integration of intermittent renewable …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 2, 2026 Read article
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Gravitational Wave Astronomy (2015–2026): From Historic Discoveries to Quantum Detection Frontiers
Abstract: Since the landmark detection of GW150914 by the LIGO Scientific Collaboration in 2015, gravitational wave (GW) astronomy has transitioned from a theoretical frontier to a robust observational science. This breakthrough confirmed a major prediction of General Relativity and inaugurated an entirely new method for observing the universe. Over the past decade, continuous upgrades to ground-based interferometers such as LIGO, Virgo Collaboration, and KAGRA have dramatically improved detector sensitivity, enabling the …
Published in International Journal of Universe · Vol. 2, Issue 1, 2026 · pp. 1–5 Read article
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Predictive Analytics for Student Well-Being and Occupational Success
Abstract: The integration of predictive analytics into higher education has significantly transformed institutional decision-making processes. However, prevailing implementations remain predominantly performance-centered, focusing on dropout prediction and grade forecasting rather than holistic developmental outcomes. Concurrently, higher education systems worldwide are confronting escalating concerns regarding student mental health, disengagement, career uncertainty, and labor market volatility. These intersecting challenges necessitate a broader theoretical reconceptualization of predictive analytics—one that integrates psychological well-being and long-term occupational …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 155–163 Read article
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An analytical study on effectiveness of E-learning
Abstract: E-learning has increasingly established itself as a vital mode of education in the digital era, where information is widely accessible. This study provides an analytical perspective on the effectiveness of e-learning practices across diverse academic and professional settings. Drawing upon a broad body of literature, the paper examines how e-learning influences learner engagement, knowledge retention, skill development, and overall academic performance. Key factors shaping its effectiveness—such as instructional design, technological …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 108–115 Read article
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The Awareness–Behaviour Paradox: Media Literacy and Social Media Risk Behaviour Among Nigerian Undergraduates
Abstract: Background: The proliferation of internet-capable devices and social media platforms has created an intricate web of risks for Nigerian undergraduates, including cyberbullying, addiction, misinformation, and exposure to indecent content. While media literacy has been widely proposed in Western scholarship as a sustainable intervention for responsible online behaviour, its protective mechanisms remain insufficiently understood in non-Western contexts, particularly with respect to the psychological pathways through which literacy operates.Objectives: This study examined …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 121–126 Read article
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The Impact of AI-Driven Real-Time Feedback Systems on Students’ Self-Regulated Learning and Academic Persistence in Secondary Schools, Nigeria
Abstract: Self-regulated learning (SRL) is essential for secondary school students to achieve academic success and lifelong learning competencies, particularly in contexts requiring greater learner autonomy. This expository article examines the potential of Artificial Intelligence (AI)-driven real-time feedback systems to support SRL processes—planning (forethought), monitoring (performance/control), and reflection—within Nigerian secondary education. Grounded in Zimmerman’s cyclical SRL model and Bandura’s Social Cognitive Theory, the paper conceptualises AI tools (e.g., intelligent tutoring systems, learning …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 Read article
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 15–27 Read article
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Learning of Maximum Power Point Tracking Architecture with Various Algorithms for Photovoltaic Systems: A Review
Abstract: Currently, as the requirement on the Earth for ever more electricity grows, so too accordingly must demands upon renewable energy. These days, with the growth of renewable energy on all fronts, countries everywhere watch its development. Since demand for power generation goes up again, fossil fuels become less and less available, and expense is not coming down. When there is a rapidly changing irradiance, temperature, or partial shading, the output …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 2, 2026 · pp. 14–22 Read article
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DESIGNING AND ANALYSIS OF DIFFERENT TYPES OF FINS IN AIR COOLED ENGINE
Abstract: This paper is dedicated to the study of various shapes of extended surfaces, commonly known as fins, which are used on cylinder heads of internal combustion engines. Extended surfaces are used to improve heat dissipation from the object by increasing its effective surface area. Efficient heat dissipation is very important since proper cooling of an engine cylinder head helps to maintain optimal working temperatures, improves engine performance, increases service life, …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 33–79 Read article
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A Review on Formulation and Evaluation of Polyherbal Face Sheet Mask.
Abstract: This research focuses on the formulation and evaluation of a polyherbal face sheet mask developed using natural herbal ingredients to address common skin concerns such as acne, dullness, pigmentation, sun damage, dark spots, and uneven skin tone. With the increasing demand for safe, eco-friendly, and chemical-free skincare products, herbal-based cosmetic formulations have gained significant attention due to their therapeutic properties, minimal side effects, and enhanced consumer acceptance. Face sheet masks …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 2, 2026 · pp. 8–15 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