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1756 articles for “improvement”
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Review Article: Butyl and Halo-Butyl Rubbers
Abstract: Butyl and halo butyl rubbers are key raw materials for various industries due to their exceptional properties, like permeability to gases, high chemical resistance, and durability. Butyl rubber (IIR) is composed of isobutylene with small amounts of isoprene, offering a low permeability to gases, making it ideal for applications in the automotive, medical, and consumer goods. Butyl Rubber is non-polar nature and possess excellent insulation properties which further enhance its …
Published in International Journal of Polymer Science and Engineering · Vol. 11, Issue 2, 2025 Read article
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Reactor-Made Polypropylene for 3D Printing: A Low-Crystallinity Approach
Abstract: 3D printing is technology that enables the complex structure, which is difficult in conventional technique. However, relatively slow manufacturing process and using of limited polymeric material leads to attention of scientist towards newer cost-effective material and technology. In this study, we overcome this issue by synthesizing reactor-made polypropylene (mPP) using Dimethylsilylene-(cyclopentadienyl) (fluorenyl)-zirconium-dichloride metallocene catalyst. The polymerization process was systematically optimized by varying Al/Zr molar ratios, catalyst concentrations, and temperatures to …
Published in International Journal of Polymer Science and Engineering · Vol. 11, Issue 2, 2025 · pp. 1–17 Read article
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Advanced Materials and Protective Coatings for Enhanced Durability in Gas Turbine Engines
Abstract: Abstract Gas turbines are critical in modern power generation and propulsion systems, where high thermal efficiency, performance, and durability are essential. Operating at extreme temperatures and in aggressive chemical environments places significant stress on hot-section components, such as turbine blades, vanes, and combustor liners. To meet these demands, advanced high-temperature materials and protective coatings have been developed to ensure structural integrity, reduce maintenance, and improve operational lifespan. Nickel-based superalloys remain …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 1, 2025 · pp. 1–6 Read article
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Recent Developments in Low-Temperature Combustion (LTC) Strategies for Next-Generation Engines
Abstract: AbstractThe growing demand for cleaner and more efficient internal combustion engines has driven extensiveresearch into advanced combustion methods, among which Low-Temperature Combustion (LTC)strategies have emerged as a highly promising area. LTC offers a unique approach to enginecombustion by lowering the peak temperatures within the combustion chamber, thereby significantlyreducing the formation of nitrogen oxides (NOx) and particulate matter (PM) – two major pollutantsassociated with traditional engine designs. Importantly, LTC systems achieve …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 1, 2025 · pp. 7–12 Read article
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A Literature Review on Comparative Analysis of Non-Contact AI Vision-Controlled Diameter Measurement vs. Conventional Methods in Flux Core Wire Drawing Measurement
Abstract: AbstractEnsuring precise diameter control in flux core wire drawing is crucial for maintaining welding wirequality and performance. Conventional measurement methods, which often rely on manual inspectionor mechanical techniques, face limitations in accuracy, consistency, and responsiveness. This studyexplores the application of AI vision-controlled systems to address these challenges by enabling realtime,high-precision, non-contact diameter measurement. Through an extensive review of researchpapers and patents, this paper examines the advancements in AI-based monitoring techniques …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 8–16 Read article
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Revolutionizing Concrete Strength: The Role of Carbon Nanotube Reinforcements
Abstract: Abstract The integration of carbon nanotubes (CNTs) into concrete represents a revolutionary advancement inconstruction material technology. Carbon nanotubes, known for their exceptional mechanical,electrical, and thermal properties, offer transformative potential for enhancing the strength, durability,and functionality of traditional concrete. This study explores the role of CNTs as a nano-reinforcementmaterial, focusing on their impact on compressive strength, tensile capacity, and resistance to crackingand environmental degradation. By incorporating CNTs, concrete can achieve unprecedentedmechanical …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 1, 2025 · pp. 27–31 Read article
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The Effect of Sugar Powder on Strength of Concrete
Abstract: Abstract This study presents a comprehensive experimental investigation into the influence of sugar powder on the compressive strength of concrete. The research aims to systematically evaluate the effects of incorporating sugar powder in varying proportions on the mechanical and structural performance of concrete, particularly when combined with different brands of cement. Concrete cube specimens with standard dimensions of 150 mm × 150 mm × 150 mm were meticulously prepared by …
Published in International Journal of Concrete Technology · Vol. 11, Issue 1, 2025 · pp. 22–28 Read article
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Innovative Educational Strategies to Bridge the Theory-Practice Gap in Nursing Education
Abstract: The theory-practice gap in nursing education remains a persistent challenge, hindering the ability of students to effectively translate theoretical knowledge into practical, clinical skills. This study explores innovative educational strategies aimed at bridging this gap, with a focus on simulation-based learning (SBL), AI-driven education, and competency-based education (CBE). Through a mixed-methods approach involving surveys, clinical assessments, and semi-structured interviews with nursing students and faculty, the study evaluates the impact of …
Published in International journal of Nursing Science Practice and Research · Vol. 11, Issue 1, 2025 Read article
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Shielding the Pulse: Addressing Data Integrity and Security Challenges in E-Health Systems Using Cloud Computing
Abstract: The changing face of healthcare due to integration of the cloud into e-health systems allows for storage, sharing and access to data in a highly secure manner, but this also raises questions about security and privacy issues. In this research paper, the authors address one such privacy and security concern, which is data confidentiality and loss of integrity within the e-health systems based on Cloud Computing. The paper explores several …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 18–23 Read article
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Advances in Machine Learning and Data Analytics: A Multidisciplinary Synthesis
Abstract: Machine learning has emerged as a key driver of innovation across a wide range of fields. Its transformative potential is evident in natural language processing, computer vision, and real-time automation, where it addresses intricate challenges with remarkable efficiency. This paper delves into recent developments in machine learning, spotlighting techniques, such as semi-supervised learning frameworks, stable diffusion models for generative tasks, and advanced lightweight architecture for real-time defection detection. By integrating …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 12–17 Read article
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Advanced Encryption Framework for Secure Cloud Storage
Abstract: It is crucial to protect data in the current setting where the cloud has become a common home for storing information. This project provides a novel solution for generic file sharing and protection where data is stored in the AWS S3 system with the aid of cryptographic algorithms. In the development of the proposed system, AES and RSA modes of security are used to enhance security in the file uploading, …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 1–11 Read article
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Ethical Issues and Implementation Challenges of Artificial Intelligence in ICU Care: A Critical Nursing Perspective
Abstract: Background: The integration of Artificial Intelligence (AI) in Intensive Care Units (ICUs) is rapidly advancing, with AI showing potential to improve patient outcomes by enhancing monitoring, predicting deterioration, and optimizing clinical decision-making. Despite its promise, the implementation of AI in critical care environments raises ethical and practical concerns. This study aims to evaluate the impact of AI on ICU outcomes and explore the associated ethical and implementation challenges. Objective:To assess …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 1, 2025 Read article
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A Comprehensive Study on Evolvable Hardware
Abstract: AbstractEvolvable Hardware (EHW) is an innovative approach to hardware design that utilizes evolutionary algorithms, such as Genetic Algorithms (GAs) and Genetic Programming (GP), to enable electronic systems to autonomously adapt, optimize, and reconfigure themselves in response to changing environments or requirements. Inspired by natural evolution, EHW dynamically evolves hardware configurations through selection, mutation, and crossover, allowing systems to improve performance, enhance fault tolerance, and achieve greater energy efficiency. Central to …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 16–22 Read article
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Virtual Reality in Nursing Education: Enhancing Clinical Training and Competency
Abstract: Background: The integration of virtual reality (VR) in nursing education has emerged as a transformative approach to bridge gaps in clinical training, particularly where traditional hands-on opportunities are limited. This study investigates the effectiveness of VR-based simulation on improving clinical competency and self-efficacy among undergraduate nursing students. Methods: A quasi-experimental, pre-test/post-test design was employed with 60 final-year nursing students divided into control (traditional training) and experimental (VR training) groups. Participants …
Published in International journal of Nursing Science Practice and Research Read article
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The Role of Artificial Intelligence in ICU Patient Monitoring and Predictive Analytics: A Prospective Cohort Study
Abstract: Background: Intensive Care Units (ICUs) face challenges in effectively monitoring critically ill patients. Traditional monitoring methods may not detect subtle signs of deterioration in time, leading to worsened outcomes. Artificial Intelligence (AI)-driven monitoring systems have emerged as a potential solution, promising improved predictive capabilities and patient outcomes. Objective: This study aimed to evaluate the impact of AI-based monitoring systems on ICU patient outcomes, focusing on mortality rates, length of ICU …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 1, 2025 Read article
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Emission Reduction Strategies in Diesel and Gasoline Engines: Progress and Future Directions
Abstract: Abstract The global transportation sector remains a significant contributor to greenhouse gas emissions and air pollution, necessitating continuous advancements in emission reduction strategies for internal combustion (IC) engines. Diesel and gasoline engines, despite their efficiency and widespread use, produce harmful pollutants, such as nitrogen oxides (NOx), particulate matter (PM), and carbon monoxide (CO). These emissions contribute to serious environmental and health issues, including global warming, respiratory diseases, and ecosystem degradation. …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 2, 2024 · pp. 11–15 Read article
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A Review on Cognitive Radio Sensor Networks for Internet of Things
Abstract: Cognitive radio sensor networks (CRSNs) can effectively manage communication through clustering. This paper examines Internet of Things Cognitive Radio Sensor Networks. An important step towards a world of smart technology is the Internet of Things (IoT) system based on Cognitive Radio (CR). Many frameworks for creating CR-based IoT systems have been put forth. IoT frameworks based on CR are the main topic of the survey. One possible approach to improving …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 29–33 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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Design of Multispindle Drilling Head
Abstract: AbstractThis paper presents the design, analysis, and optimization of a multi-spindle drilling machine headaimed at enhancing productivity and efficiency in manufacturing processes. Engineered to drill multipleholes simultaneously, the multi-spindle head significantly reduces machining time and increasesoperational throughput, making it ideal for high-volume production environments where speed andaccuracy are essential. The design process begins with a thorough requirements analysis and materialselection to ensure the machine head can endure operational stresses while …
Published in International Journal of Manufacturing and Materials Processing · Vol. 10, Issue 2, 2024 · pp. 36–42 Read article
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A Review on Cognitive Radio Sensor Networks for Internet of Things
Abstract: Cognitive radio sensor networks (CRSNs) can effectively manage communication through clustering. This paper examines Internet of Things Cognitive Radio Sensor Networks. An important step towards a world of smart technology is the Internet of Things (IoT) system based on Cognitive Radio (CR). Many frameworks for creating CR-based IoT systems have been put forth. IoT frameworks based on CR are the main topic of the survey. One possible approach to improving …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 30–34 Read article