Search
478 articles for “Transformer design”
-
Consumer Awareness and Adoption Barriers of E-Pharmacy Services in Delhi/NCR: A Mixed-Methods Investigation
Abstract: Background: The rapid digitization of India's pharmaceutical market has positioned e-pharmacies as a transformative force; yet, consumer adoption remains significantly low despite growing awareness. Objectives: This study investigates consumer awareness levels, purchasing behaviors, trust perceptions, and adoption barriers regarding e-pharmacy services among urban Indian consumers. Methods: A sequential explanatory mixed-methods design was employed. Quantitative data were gathered via a structured questionnaire administered to 65 respondents in Delhi. Qualitative insights were …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 · pp. 23–32 Read article
-
Next-Generation mRNA Vaccines: Applications Beyond COVID-19
Abstract: Messenger RNA (mRNA) vaccine technology has become a paradigm shift in contemporary medicine and, with remarkable success in the COVID-19 pandemic, has opened the door to a new wave of vaccines development. In contrast to the traditional vaccine methods, mRNA vaccines are based on the synthetic genetic code that allows host cells to express target antigens, thus eliciting strong humoral and cellular immunity. The speed of development, efficacy, scalability of …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 · pp. 15–26 Read article
-
Crystal Engineering Strategies for Tailoring Mechanical Properties of Structural Materials
Abstract: Crystal engineering has emerged as a promising approach for designing materials with tailored mechanical properties, enabling advancements in various fields such as aerospace, automotive, and construction. This review examines the diverse strategies employed in crystal engineering to manipulate the mechanical behavior of structural materials. One key strategy involves controlling the crystal structure at the atomic level through techniques such as alloying, doping, and phase transformations. Alloying introduces foreign atoms into …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 1, 2024 · pp. 01–06 Read article
-
Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 55–66 Read article
-
Examining the Role of Synthetic Biology in Cellular Restoration Mechanisms
Abstract: Synthetic biology has emerged as a transformative field with the potential to revolutionize cellular repair mechanisms, offering innovative solutions to repair damaged DNA, stabilize proteins, regenerate tissues, and treat a wide range of diseases. By combining principles from genetic engineering, biotechnology, and computational biology, synthetic biology enables the design of cellular systems capable of performing functions that repair cellular damage and restore normal cellular processes. This article explores the application …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 19–29 Read article
-
The Principles and Applications of Structural Symmetry in Natural and Engineered Systems: A Comprehensive Review
Abstract: Structural symmetry is a fundamental constraint across scientific domains, dictating the stability, functionality, and efficiency of systems from the subatomic to the macroscopic. In physics and chemistry, symmetry is mathematically defined through Group Theory, specifically point groups (e.g., Cnv, Oh). These groups govern molecular orbital interactions; high-symmetry configurations, such as the icosahedral C60 fullerene, achieve optimal energy distribution and structural resilience. In Structural Biology, symmetry is an evolutionary strategy for …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 30–34 Read article
-
Innovative Approaches in Bioinspired and Biomimetic Membrane Technologies: Bridging Nature and Engineering
Abstract: Bioinspired and biomimetic membranes represent a ground breaking advancement in membrane technology, offering innovative solutions to critical global challenges in water purification, chemical separation, and energy conversion. These membranes leverage the exceptional transport properties of biological systems, particularly through the incorporation of aquaporin proteins, which facilitate rapid and selective water transport. This review synthesises recent developments in aquaporin-based membranes, highlighting their remarkable efficiency in desalination processes, where they serve as …
Published in International Journal of Membranes · Vol. 1, Issue 2, 2024 · pp. 53–60 Read article
-
Bridging the Quality Gap: Analyzing NAAC Accreditation and IQAC’s Role in Higher Education Transformation
Abstract: The role of the National Assessment and Accreditation Council (NAAC) and Internal Quality Assurance Cells (IQAC) in ensuring quality standards in higher education institutions (HEIs) in India has been a subject of extensive research. This review synthesizes existing literature to assess the impact of NAAC accreditation on institutional quality enhancement, transparency, curriculum flexibility, and overall governance. A comparative approach highlights the role of IQAC in implementing continuous quality improvement mechanisms. …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 11–16 Read article
-
Securing Web Applications: A Machine Learning Approach for SQL Injection Threats
Abstract: The rapid evolution and widespread adoption of the internet have significantly transformed the world, leading to an increased number of cyberattacks. Cybersecurity has become one of the most critical challenges for society, incurring substantial financial losses annually. This research focuses on SQL injection attacks, the specific threat to web applications, aiming to detect malicious queries designed to exploit vulnerabilities and access sensitive data. In recent years, the frequency of SQLi …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 16–22 Read article
-
An Efficient Fault Detection and Localization System for Three-Phase Transmission Line using Arduino and Artificial Neural Networks
Abstract: This paper presents an efficient fault detection and localization system for a three-phase transmission line using Arduino and artificial neural networks. Theproposed system is designed to detect and localize faults in real-time, reducing the downtime and improving the reliability of the power system. The system consists of three main components: the fault detection unit, the fault classification unit, and the fault localization unit. The fault detection unit uses Arduino microcontroller …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 3, 2022 · pp. 35–42 Read article
-
The Impact of Nanotechnology in Transforming Neuro-oncology - A Comprehensive Review
Abstract: The treatment of central nervous system (CNS) tumours, including aggressive malignancies like glioblastoma, faces significant challenges. The blood–brain barrier (BBB) blocks nearly 98% of small-molecule drugs from achieving therapeutic levels in the brain, and the heterogeneity of these tumours frequently contributes to treatment resistance and poor outcomes. Traditional approaches, including chemotherapy and radiotherapy, are hindered by systemic toxicity and inadequate drug penetration. Nanotechnology provides a promising alternative, as nanoparticles (NPs) …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 627–637 Read article
-
LLM Evolution: Secrets and Disadvantages
Abstract: The advancement of large language models (LLMs) has initiated a significant transformation in artificial intelligence, with substantial effects on fields including natural language processing, machine learning, and human-computer interaction. This research examines the diverse improvements in LLMs, emphasizing significant milestones from early models such as GPT-2 to contemporary state-of-the-art designs. The investigation highlights the novel training methodologies, such as unsupervised learning and transfer learning, which have markedly improved the capabilities …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
-
Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article
-
Modeling and Acoustic Analysis of Noise Vibration in Automotive Gearbox by Non-destructive Testing
Abstract: A gearbox is used for transferring power from the engine to the wheels. Predicting the vibration and noise radiation from a dynamic system like a gearbox gives designers an insight early in the design process. It was conducted experimental and modeling of vibration and noise for magnitude and pressure level variations in a Peugeot 206 automotive 5-speed gearbox. It was extract vibration data related to different periodic processing and then …
Published in Journal of Experimental & Applied Mechanics · Vol. 11, Issue 3, 2020 · pp. 54–63 Read article
-
The Formulation of Neural Network Model
Abstract: Mathematically, a neural network model is presented in this paper. This formulation is efficient and secure to apply to design any network model for information, data analysis, decision, prediction etc. The compact formula is defined over the set of polynomials. The finiteness & discreteness allows this formation efficient and feasibility &isomorphism provides the security. These advantages are carried this formulation. Probability is also applied to transform the result for analyzing …
Published in Recent Trends in Electronics Communication Systems · Vol. 6, Issue 2, 2019 · pp. 26–32 Read article
-
Group-Theoretic Symmetry Indices for Modular Building Layouts under Seismic Load Redistribution
Abstract: Symmetry in modular buildings operates simultaneously as an architectural language, a structural regularizer, and a computational design variable. This paper develops a group-theoretic framework for evaluating and optimizing plan symmetry in modular buildings subjected to seismic load redistribution. The building layout is modeled as a finite occupancy–stiffness field defined on a rectangular lattice, where each module encodes both mass and stiffness contributions. Planar reflections and quarter-turn rotations are represented as …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 01–07 Read article
-
Remote Keyless Entry Implementation Using Can Protocol
Abstract: The coming of the Controlling Area Network (CAN) protocol has totally transformed the car industry, enabling smooth communication between various electronical control units (ECUs) within modern vehicles. Using this strong communication framework, our project centers on the execution of a Remote Keyless Entry (RKE) system, providing improved security and ease to vehicle owners. This project aims at designing and developing a complex RKE system employing the CAN protocol, which allows …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 · pp. 30–38 Read article
-
Technological Advancements in Agricultural Spraying Drones: A Review of Efficiency and Environmental Impact
Abstract: Developing an unmanned aircraft system with cutting-edge sensors for accurate pesticide and fertilizer delivery, crop monitoring, and resource optimization in agriculture is the main goal of the agricultural spraying drone project. The initiative intends to minimize chemical usage and lessen environmental effects while providing a sustainable and environmentally friendly alternative. Real-time monitoring, obstacle avoidance, GPS-based navigation, and data analytics are some of the key features. Airframe design, propulsion, cargo delivery, …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 1–11 Read article
-
Revolutionizing Healthcare: AI in Drug Discovery and Pharmacy Practices
Abstract: Artificial intelligence (AI) has emerged as a revolutionary element across numerous sectors, especially in healthcare and pharmacy. AI systems that can execute functions typically necessitating human intelligence, such as learning, problem-solving, and speech recognition, are poised to transform drug discovery, enhance patient care, and reshape pharmacy practices. AI can help discover drugs with predicting interactions with drug destinations, virtual screening, drug reuse, and drugs that accelerate the development of effective …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 94–100 Read article
-
Limestone Calcined Clay Cement (LC3) as a Sustainable Cementitious Composite for Retrofitting Concrete Structures: A Systematic Review
Abstract: This systematic review evaluates the effectiveness of Limestone Calcined Clay Cement (LC3) as a sustainable material for repairing and retrofitting damaged concrete structures. LC3 is highlighted as a low-carbon alternative to Ordinary Portland Cement (OPC), offering improved strength, bonding, and long-term durability. The review compiles and analyzes data from peer-reviewed experimental studies focusing on LC3’s mechanical performance, interface bonding, and durability parameters. Results consistently show higher bond strength, reduced shrinkage, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 163–174 Read article