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1980 articles for “Function” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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An Overview on VLSI based Hardware Security in IoT Node
Abstract: In the coming era, security will not be a feature we add to an IoT device; it will be a property inherent to its transistor-level design. By encoding security into the VLSI architecture, we move away from the fragile "software-only" paradigm and toward a future where the identity of the device is as immutable as the laws of physics. The rapid proliferation of Internet of Things (IoT) devices has transformed …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Growth of Cu2O on TCO by SILAR method acts as an alternative buffer electrode layer towards the development of organic solar cell
Abstract: In many types of optoelectronic devices, layer of PEDOT: PSS is sandwiched between the indium-tin oxide (ITO) electrode and the active layer. Buffer PEDOT: PSS provides a well- defined work function which is higher than that of ITO (4.2eV), it smooths the ITO surface and so avoids shorts, and it also protects the active layer from ingress of indium or oxygen, leading to longer device lifetimes. The role of PEDOT: …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 2, 2026 · pp. 20–27 Read article
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GSM Based OTP Security Locker Using Arduino
Abstract: This work presents a microcontroller-driven secure locker system that leverages GSM-based communication for dynamic user authentication. Unlike conventional locking mechanisms that depend on static credentials or physical keys, the proposed system utilizes a time-sensitive one-time password (OTP) transmitted to a pre- authorized mobile number. The authentication workflow is managed using an Arduino-based embedded platform integrated with a SIM A7670C GSM module. The system coordinates OTP generation, transmission, and validation in …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 8–15 Read article
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Prime Editing and Base Editing in Human Hematopoietic Stem Cells Toward Scarless Correction of Monogenic Blood Disorders
Abstract: Monogenic hematological disorders – such as sickle cell disease (SCD), β-thalassemia, and X-linked chronic granulomatous disease (X-CGD) – affect >400, 000 newborns worldwide each year, with a considerable burden in low-resource settings . Although donor-derived allogeneic hematopoietic stem-cell transplantation (HSCT) is widely regarded as curative, its application is limited due to issues of donor availability and graft-versus-host disease (GVHD) and conditioning-related toxicity. DSB-based conventional CRISPR-Cas9 strategies are limited by inefficient …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 1, 2026 Read article
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Formulation and Evaluation of a Polyherbal Lip Scrub Containing Beetroot, Licorice, and Aloe Vera
Abstract: The current research is aimed at developing and assessing a polyherbal lip scrub which contains beetroot extract, licorice extract and aloe vera gel to enhance better exfoliation, nutritional and depigmentation. The fusion method was applied to the herbal extract formulations by varying systematically the concentration of the herbal extracts to develop the 4 formulations (F1-F4) each of 15 g. These prepared formulations were tested on their important physicochemical and functional …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 2, 2026 · pp. 47–55 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Mass Spectrometry–Based Phosphoproteomic Markers to Predict Kinase Inhibitor Response in Solid Tumors
Abstract: Mass spectrometry-based phosphoproteomics has emerged as a powerful tool for predicting kinase inhibitor responses in solid tumors, offering direct functional insights into signaling pathways that surpass traditional genomic profiling by capturing dynamic kinase activities and adaptive resistance mechanisms. Technological breakthroughs, including data- independent acquisition (DIA), trapped ion mobility spectrometry (timsTOF), and efficient enrichment methods like TiO2 or IMAC, now enable comprehensive profiling of over 40,000 phosphorylation sites from limited clinical …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 2, 2026 Read article
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Polymer Chemistry Solutions for C&D Waste Stabilization and Reuse in Construction Materials
Abstract: The construction and demolition (C&D) waste is among the largest streams of solid-waste in the world, which has posed significant environmental, economic, and resource utility issues. Common waste disposal techniques such as landfill and low-grade recycling contribute to destruction of the material and wasteful characteristics. Polymers as methods of stabilizing mixed C&D waste and converting it into a high-performance construction material have become one of the promising methods in recent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Design and Development of a Smart Automated Packaging System for Poultry Drumsticks
Abstract: The present work aims to design and implement an automated packaging system for poultry drumsticks that enhances operational efficiency, product quality, and adaptability. The integrated system offers a solution that complies with industrial quality and safety standards by sorting products, getting accurate weighing, and efficiently portioning food into 1-kilogram standardized units. By effectively reducing human involvement, operational inefficiencies, workforce requirements, and contamination hazards, the automation system becomes sufficiently adaptable to …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 1–7 Read article
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Recent Innovations in Semiconductor Materials for Smart Electronic Devices
Abstract: Recent advancements in semiconductor materials have significantly transformed the design, performance, and functionality of smart electronic devices such as smartphones, wearable systems, IoT devices, autonomous systems, and biomedical electronics. With the continuous demand for higher processing speed, lower power consumption, improved thermal stability, and extreme miniaturization, traditional silicon-based semiconductor technology is facing major limitations. As device dimensions shrink to the nanometer scale, challenges such as leakage current, heat dissipation, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 · pp. 1–11 Read article
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Learning Data Structures: Key to Good Programming
Abstract: Data structures are the most crucial feature of good programming and are needed to solve hard computational problems. This model makes use of two different recurrent neural network architectures, specifically long short-term memory (LSTM), and gated recurrent unit (GRU) networks. It explains how selecting and using the correct data structures may speed up computations, optimize memory, and scale code. How data structures and algorithms relate and how to think about …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 29–39 Read article
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Smart Education in the Context of Puducherry India
Abstract: This paper explores the concept of smart education and presents its conceptual framework in the context of Puducherry. It aims to enhance the understanding of smart education by analysing its fundamental components, including educational challenges, technological innovations, management strategies, policy frameworks, historical evolution, and emerging trends. The adoption of smart education has accelerated significantly in recent years, particularly during the COVID-19 pandemic, when educational institutions worldwide transitioned from traditional classroom-based …
Published in Emerging Trends in Languages · Vol. 2, Issue 2, 2025 · pp. 10–17 Read article
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Machine Learning Based Optimization of Polymer Structure Property Relationships in Composite Material Systems
Abstract: In modern engineering applications, polymer-based composite materials have garnered a lot of attention because of their lightweight nature, high strength-to-weight ratio, and changing physical features. In order to maximize the relationships between polymer structure and properties in composite materials, this study suggests a strategy based on reinforcement learning (RL). The research utilized the Polymer Composite Properties Dataset, which contains 12,700 records associated with polymer matrices, reinforcement fillers, interfacial bonding characteristics, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 242–255 Read article
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Border Security Alert for Soldiers
Abstract: Secure a nation by protecting its people and the country’s borders. Soldiers guarding remote and hostile areas of the border experience very difficult situations when confronted with the possibility of arms and/or people crossing the border without permission and environmental conditions or obstacles that can impede communication. The proposed project titled, “Border Security Alert for Soldiers”, is an attempt to assist soldiers in their border surveillance efforts by using an …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 24–31 Read article
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Bonding Strength Characteristics of FRP Cylindrical Composites Under Hygrothermal Loading
Abstract: This study investigates the bonding strength characteristics and stress distribution patterns in fiber-reinforced polymer (FRP) cylindrical composites subjected to hygrothermal loading conditions. A four-phase cylindrical model incorporating AS-Graphite and S-Glass fibers with low modulus epoxy coating was analyzed under four distinct pressure loading conditions (25.984, 38.976, 77.953, and 155.906 MPa). Comprehensive stress analysis revealed significant variations in von-Mises stress, maximum principal stress, and minimum principal stress across fiber, coating, matrix, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 950–967 Read article
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21st Century Cognitive Landscapes: Integrating ICT-Driven Pedagogies for Holistic, Inclusive Education
Abstract: The rapid advancement of Information and Communication Technology (ICT) has revolutionized digital pedagogies, reshaping modern education by improving accessibility, learner engagement, and academic outcomes. This review critically explores the psychological ramifications of digital learning environments while assessing the effectiveness of ICT tools in fostering inclusive and sustainable education. By integrating insights from contemporary research, this paper examines the impact of digital pedagogies on cognitive function, emotional health, and social interactions …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 75–81 Read article
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Enhance Thermal and Conductive Properties through Graph Neural Network-Based Machine Learning-Driven Advanced Polymer Material Design
Abstract: Advanced polymer materials are widely used in modern engineering and manufacturing because of their lightweight nature, flexibility, durability, and adaptability to different applications. However, designing polymer materials with enhanced thermal and electrical properties remains a challenging task. The performance of polymers is influenced by a complex combination of molecular structures, filler materials, processing parameters, and nanoscale interactions. Conventional optimization methods often require extensive experimental trials and computational resources, making it …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 386–407 Read article
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Electron Impact Single and Double Ionization Cross sections of Cr Ions and Atoms
Abstract: The theoretical calculations of electron impact single and double ionization cross section of Cr ion/atom have been estimated from threshold 32 eV to 1000 eV and 40eV to 6000 eV impact energies respectively. The modified Binary Encounter Approximations (BEA) has been used in the aforesaid calculation. These theoretical electron impact ionization cross sections of Chromium ion are of pivotal importance in the several studies. The Accurate expression of , cross …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 2, 2026 · pp. 01–10 Read article
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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
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A Study to Assess the Effectiveness of a Structured Teaching Plan on Knowledge Regarding Premenstrual Symptoms Among Early Adolescent Girls in Selected Schools of Agra
Abstract: Premenstrual symptoms are commonly experienced by many women and can have a considerable impact on their everyday functioning and overall well-being. These symptoms involve physical, emotional, and behavioral changes that occur during the luteal phase of the menstrual cycle, with different levels of severity. The present study was conducted to evaluate the effectiveness of a structured teaching plan on knowledge regarding premenstrual symptoms among early adolescent girls in selected schools …
Published in International Journal of Midwifery Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 45–65 Read article