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1979 articles for “Additive” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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DC Motor Speed Control Using Arduino & L298N Motor Driver
Abstract: The focus of this project is on developing a DC motor speed controller using an Arduino microcontroller and an L298N motor driver module. The goal is to create a flexible and effective system that can control the speed, direction of a DC motor through PWM signals generated by the Arduino. The project utilizes the Arduino platform for its flexibility, ease of programming, and wide availability of resources, while the L298N …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Muscle Computer Interface for Recovering People
Abstract: The muscle-computer interface (MCI) has emerged as a promising technology for enhancing the recovery process of individuals with paralyzed limbs or disabilities. This paper explores the application of MCI in the context of recovering people and addresses the challenges faced by such individuals. Traditional rehabilitation methods often have limitations in terms of engagement, feedback, and real-time interaction, which hinder the recovery progress. In response to these challenges, the proposed MCI …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 8–15 Read article
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The Role and Influence of Emotional Intelligence in Shaping Job Crafting: An Empirical Study
Abstract: The project titled "The Role and Influence of Emotional Intelligence in Shaping Job Crafting: An Empirical Study" explores the significant influence of Emotional Intelligence (EI) on job crafting while also examining how demographic factors impact this relationship. In today’s evolving workplace, employees are increasingly reshaping their roles to align better with their skills, values, and motivational process known as job crafting. Emotional intelligence, which includes the capacity to identify, comprehend, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 2, 2024 · pp. 15–23 Read article
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R-M and M-R Model for Interpreting Logic State of Memristor Aided NOR with Enhanced Noise Margin
Abstract: Memristive crossbar arrays are one of the fascinating subjects in the field of nanoelectronics and memory devices. The arrangement of arrays consists of grid-like structure with rows and columns of memristors which are resistive devices that can preserve their resistance state even after power is turned OFF. They have now emerged as a promising alternative to traditional memory technologies due to their high density, non-volatility and low power consumption. This …
Published in Recent Trends in Mathematics · Vol. 1, Issue 1, 2024 · pp. 35–41 Read article
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Smart Control Systems for Solar Electric Vehicles: A Microcontroller and Sensor-Based Approach
Abstract: The use of electric vehicles has significantly increased during the last ten years. Some actions being taken to halt climate change and reverse the effects of global warming include the following. An electric car that is powered by solar energy—generated by solar panels mounted on the outside of the vehicle—is known as a solar vehicle. As everyone knows, middle-class families cannot afford the constantly growing costs of gas and new …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 3, 2024 · pp. 33–43 Read article
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Perception of Islamic Scholars towards Polio Vaccination in Northern Nigeria
Abstract: Poliomyelitis, commonly known as polio, is a highly infectious disease that can lead to permanent paralysis and, in severe cases, death. Despite global efforts to eradicate polio through vaccination, Nigeria, particularly its Northern region, has faced significant challenges in reaching full immunization coverage. Resistance to polio vaccination is often rooted in cultural and religious concerns, with Islamic scholars playing a significant role in shaping public perception and acceptance of health …
Published in International Journal of Vaccines · Vol. 2, Issue 1, 2025 · pp. 28–42 Read article
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Experimental Investigation of OPC Concrete with Incorporation of Glass Powder as Partial Substituent Material.
Abstract: This study presents an experimental survey aimed at evaluating the viability of incorporating glass powder (GP) as a partial substitute for cement in concrete matrix. The research focuses on assessing the effect of this sustainable alternative in concrete by investigating the various properties of fresh concrete such as workability, mechanical and durability aspects. Specimens were prepared with GP replacement to cement at 5%, 10%, 15%, and 20% levels, with comparative …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1058–1068 Read article
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AI-Powered Fire Detection System for Accurate and Timely Emergency Response
Abstract: AI-based fire detection system leverages deep learning and Open CV. Issues with conventional fire detection techniques include false alarms and expense. The proposed system uses deep learning for real-time fire detection in videos, enhancing accuracy and adaptability. OpenCV aids in crowd counting, improving situational awareness during emergencies. This innovation promises to revolutionize fire safety by offering timely and precise detection, potentially saving lives and property. Additionally, by counting crowds, the …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 30–36 Read article
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A Review on Effects of Waste Tire Rubber Polymer on Fresh, Mechanical, and Impact Resistance Properties of Rubberized Concrete
Abstract: According to the collective findings of numerous researchers, waste tire rubber has proven to be a valuable addition to concrete, contributing to advancements in construction. Rubber crumb is artificial rubber polymers, such as butadiene rubber (BR). The chemical composition of tire rubber crumb that is discarded can be represented by the combination of (C5H8)n, (C8H8)x-(C4H6)y, (C4H6)n, C, S8, ZnO, and complicated hydrocarbons. Various studies have explored the mechanical and impact …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 469–478 Read article
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Research on Synchronous Generators AC Excitation Regulation Control System
Abstract: Based on various methods to supply excitation power to the synchronous generator it is categorized in three different types of excitation systems for synchronous motor. The first one is DC excitation system, second is AC excitation system and third one is static excitation system. The increasing size of contemporary power systems ensures system dependability and stability. A better supply of power is vital and has a big influence on improving …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 2, 2024 · pp. 10–16 Read article
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Computational Biomodeling: Transforming Drug Design with Advanced Simulations
Abstract: Computational biomodeling has emerged as a transformative approach in the field of drug discovery, significantly enhancing the efficiency and precision of identifying and optimizing potential drug candidates. This article explores the various computational techniques utilized in drug design, including molecular docking, molecular dynamics (MD) simulations, free energy calculations, and virtual screening, and examines how these methods collectively contribute to the drug development process. The integration of these advanced simulations allows …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 24–29 Read article
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Data Integration and Visualization in Bioinformatics: Techniques and Challenges
Abstract: Data integration and visualization play essential roles in bioinformatics, facilitating the thorough analysis, and interpretation of intricate biological datasets. In the field of bioinformatics, vast amounts of data are generated from various experimental platforms, such as genomic sequencing, proteomics, transcriptomics, and metabolomics. However, the heterogeneity of these datasets, coupled with their large scale and complexity, presents significant challenges in terms of integration, analysis, and visualization. Data integration techniques aim to …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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Is Hydrogen the Future of the Automotive Sector? A Critical Overview
Abstract: The transition towards sustainable energy sources in the automotive sector has become imperative in light of escalating environmental challenges and the depletion of fossil fuels. Among alternative energy solutions, hydrogen has emerged as a promising candidate due to its high energy density, zero-emission potential, and technological advancements in fuel cell systems. This review critically examines the viability of hydrogen as a dominant energy source for future automotive applications. The paper …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 3, 2024 · pp. 35–43 Read article
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Advanced Anomaly Detection in Cloud Infrastructures Using Deep Learning Algorithms
Abstract: It is critical to guarantee the stability and security of cloud environments as cloud computing is becoming the backbone of contemporary IT infrastructures. Neglecting to quickly identify and resolve anomalies, which might point to security breaches, performance problems, or system breakdowns, can lead to disastrous outcomes. The increasing size and complexity of cloud infrastructures are challenging the effectiveness of traditional anomaly detection methods. These approaches often depend on rule-based systems …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 1–11 Read article
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Deep Learning Meets IoT: Hybrid Approaches for Botnet Detection
Abstract: Rapid advancement in the Internet of Things (IoT) changed everything, making it possible for seamless interconnectivity of devices and altering data-driven decision processes. This study delves into the intersection of IoT with deep learning approaches and hybrid approaches for managing botnet in IoT systems, especially security, efficiency, and performance optimization. Leveraging deep learning models, for example, CNNs and RNNs, will help the network achieve more intrusion detection and data analysis. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 18–27 Read article
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Comparative Efficacy of Hybrid Capture 2 and Real-Time PCR in Detecting High-Risk HPV Genotypes for Cervical Cancer Screening
Abstract: Human papillomavirus (HPV) infection is a leading cause of cervical cancer, making early detection critical for effective prevention and treatment. Among the diagnostic methods available, Hybrid Capture 2 (HC2) and Real-Time Polymerase Chain Reaction (PCR) are widely used for detecting high-risk HPV genotypes, particularly HPV 16 and 18, which account for the majority of cervical cancer cases. This review aims to compare the efficacy of HC2 and Real-Time PCR in …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 2, 2024 · pp. 13–17 Read article
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Effectiveness of a Video-based Teaching Program on Knowledge and Attitudes Toward Stem Cell Therapy Among Nursing Students
Abstract: Integrating stem cell therapy (SCT) into healthcare necessitates adequate training for nursing students to comprehend its principles and applications. This study evaluates the efficacy of a video-assisted teaching program (VATP) in enhancing knowledge and attitudes toward SCT among nursing students. A pre-test post-test quasi-experimental design was utilized with a sample of 100 nursing students. The participants were split into experimental and control groups. The experimental group received the VATP intervention, …
Published in International Journal of Community Health Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 1–8 Read article
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Computational Approaches to Understanding Cellular Signaling Pathways
Abstract: Cellular signaling pathways are fundamental in regulating vital processes, such as cell growth, differentiation, and apoptosis. The intricate and interconnected nature of these signaling networks requires sophisticated methods for their analysis. Computational approaches, including mathematical modeling, network analysis, and machine learning, have revolutionized the way researchers analyze and simulate cellular signaling. This article provides a comprehensive overview of computational strategies employed to model signaling pathways, with a focus on integrating …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 8–13 Read article
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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
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Karma Yoga as a Coping Mechanism for Anxiety
Abstract: This Research article aims to investigate the effectiveness of Karma Yoga as a coping mechanism for anxiety. Karma yoga, an ancient spiritual practice originating from the teachings of the Bhagavad Gita, promotes service and selfless action devoid of expectations and fear of its result. In the Bhagavad Gita, Lord Krishna advises individuals to perform their duties without fear of its result. “Any action which is performed by a living entity …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 1, 2025 · pp. 22–27 Read article