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1684 articles for “capping”
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Exploring the Future of Operating Systems: Architectural Innovations and Kernel Development Trends
Abstract: Modern applications and the rapid evolution of hardware technologies are challenging operating system (OS) design. This paper speculates the future of OS based on revolutionary architecture advancements and emerging possibilities in kernel construction. The growth of multi-core processors, spread-bound processing, and edge architectures have challenged traditional OS paradigms. The paper provides an analysis of the progress in microkernel and monolithic kernel structures, discussing the bandwidth capacity as well as security …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 38–47 Read article
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Intelligent Medical Devices and Robotics in Modern Healthcare: Technological Advancements and Economic Considerations
Abstract: The integration of robots and intelligent medical devices in intensive care units (ICUs) represents a significant advancement in healthcare technology. These systems, including robotic assistants, automated monitoring tools, and AI-powered diagnostic devices, are designed to enhance patient care, streamline workflows, and reduce human error. Robots in the ICU can assist with routine tasks such as medication delivery, patient repositioning, and even basic surgeries, enabling healthcare professionals to focus on critical …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 18–27 Read article
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Integration of Biosensors in Robotic Systems for Enhanced Environmental Monitoring
Abstract: Biosensors are analytical devices that use biological components, such as enzymes, antibodies, or nucleic acids, to detect specific chemical or biological substances. They have shown great potential in various fields, particularly in environmental monitoring, due to their sensitivity, specificity, and ability to provide real-time data. Integrating biosensors with robotic systems combines the strengths of both technologies, allowing for efficient data collection in remote, hard-to-reach, or hazardous environments. This integration enables …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 38–49 Read article
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Enhanced Shell Script Optimization Techniques for Low-latency Automation in DevOps Environments
Abstract: Shell scripting remains a foundational component in system administration and DevOps automation, providing a straightforward yet powerful method for automating tasks, managing system configurations, and integrating seamlessly within continuous integration and continuous delivery (CI/CD) pipelines. These scripts serve as the backbone for many repetitive and complex tasks, enabling IT teams to execute workflows efficiently without manual intervention. As organizations continue to scale their infrastructure and adopt more complex architectures, the …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article
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Exploring the Development of AI Models Using Open-Source Tools to Predict Patient Outcomes and Optimize Treatment Plans
Abstract: Integrating artificial intelligence (AI) into healthcare offers a transformative opportunity to enhance patient care and clinical decision-making. Through the use of predictive analytics, AI can significantly enhance the accuracy of outcome predictions and assist in developing personalized treatment plans that cater to each patient’s specific needs. This paper delves into the development of AI models using open-source tools, which are increasingly favored for their accessibility, collaborative nature, and capacity for …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 37–49 Read article
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Progress of Zeolite in Water Softening Treatment
Abstract: In the discourse of water treatment, one naturally stumbles upon zeolite, a versatile mineral that plays a pivotal role in softening water. This indispensable process arises from the abundant presence of divalent ions, notably calcium and magnesium, which are notorious for contributing to water hardness, an issue that manifests as scale build up within crucial components like boiler and heat exchanger pipelines. The prevalence of scale not only compromises the …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 3, 2024 · pp. 45–51 Read article
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Nano-Adsorbents for Water Purification: A Focus on Nanoclays
Abstract: Nanotechnology has emerged as a pivotal tool in addressing contemporary environmental challenges, particularly in water purification. This paper explores the use of nano-adsorbents, focusing on nano-clay materials, as effective solutions for the adsorption and removal of harmful pollutants from water. Nano-clays, owing to their large surface area and unique physicochemical properties, exhibit exceptional adsorption capacity for contaminants such as heavy metals, dyes, antibiotics, and various organic compounds. This review consolidates …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 3, 2024 · pp. 38–44 Read article
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A Review on Heavy Metal Removal Techniques in Water Treatment
Abstract: The removal of heavy metal ions from wastewater is crucial for environmental safety and human health due to the toxic and persistent nature of these pollutants. This review comprehensively examines various water treatment methods, including adsorption, membrane filtration, chemical precipitation, electrochemical, and photocatalytic processes. Each technique is critically analyzed in terms of removal efficiency, operating conditions, and their respective advantages and limitations. Adsorption methods, particularly those using bioadsorbents, have gained …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 3, 2024 · pp. 15–28 Read article
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Algorithmic Strategies for Complex Data Handling: Optimizing Data Structures for Enhanced Computational Performance
Abstract: We live in an age of big data and processing very large often complicated datasets can be crucial to efficient algorithmic performance. This paper discusses different algorithmic techniques when working with difficult data and how to arrange your information structures correctly for better functionality in large-scale methods. It checks the impact of different algorithms like sorting, searching, and hashing in boosting its processing speed as well as memory use. This …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 1–10 Read article
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Dynamic Skip-Layer Trees: A Novel Data Structure for Efficient Multi-level IoT Data Processing in Smart Cities
Abstract: This paper introduces dynamic skip-layer trees (DSLTs), a novel hierarchical data structure specifically designed for processing and managing multi-layered Internet of Things (IoT) sensor data in smart city environments. DSLTs extend the traditional skip list concept by incorporating dynamic layer adjustment and spatial awareness, enabling efficient querying and updates across various geographical and temporal dimensions. Our experimental results demonstrate that DSLTs achieve up to 40% faster query processing and a …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 11–21 Read article
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Reactive Strength Index as a Predictor of Jump Height and Agility in Basketball Athletes
Abstract: This study examines the relationship between the Reactive Strength Index (RSI) and specific performance metrics, namely jump height and agility, in youth basketball players. The RSI, a measure derived from drop jump testing, provides insight into an athlete’s explosive strength and reactive capabilities—essential qualities for success in basketball, where quick directional changes and reactive power are integral to performance. A cohort of forty youth athletes, comprising 20 males and 20 …
Published in Recent Trends in Sports · Vol. 1, Issue 2, 2024 · pp. 8–13 Read article
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Resilience Building through Disaster Risk Reduction
Abstract: A catastrophe is a serious disruption to a society's functioning that causes mortal, material, profitable, and environmental losses beyond a community's capability to manage. It results from the admixture of hazards, surroundings of exposure, and lack of volume or measures to lower the implicit negative results of threat. Hence, catastrophe control may be delineated as the arranging and administration of effects and the responsibility for handling all philanthropic angles of …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 2, 2024 · pp. 32–45 Read article
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A Comprehensive Review of DiagnoTech: Your Healthcare Companion
Abstract: The review paper “A comprehensive review of DiagnoTech: Your Healthcare Companion” brings forth a transformative solution in the advancements of healthcare technology which aims to be an all-in-one Healthcare Companion. It explores the four key elements of DiagnoTech: Lab Tests, Body Mass Index (BMI) Calculation, Yoga and Diet Recommendations, and disease prediction. It brings to light each of these features’ functionalities, integration, and their collective impact on the healthcare industry. …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 2, 2024 · pp. 24–32 Read article
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1D-Nano-Scale Porous Silicon (1D-Psi) as Optical Sensor Device
Abstract: This research article embarks on a thorough experimental inquiry into the detection of kerosene adulteration in petrol, employing a sophisticated one-dimensional microcavity of nano-scale porous silicon (1D-PSMC) sensing device. The significance of this investigation stems from the detrimental consequences of petrol adulteration, which not only aggravates environmental pollution but also jeopardizes the functionality and durability of machinery components, thereby posing significant economic and environmental challenges. The 1D-PSMC, designed to function …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 69–75 Read article
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Advanced Deep Learning Techniques for Sickle Cell Anaemia Detection
Abstract: Sickle Cell Anemia (SCA) is a prevalent genetic blood disorder characterized by the presence of abnormal hemoglobin, resulting in the distinctive sickle shape of red blood cells. Timely and accurate identification of Sickle Cell Anemia (SCA) is essential for effective management and treatment. This study presents a new method that utilizes Convolutional Neural Networks (CNNs), a deep learning model particularly effective for image analysis. The process involves using microscopic images …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 9–15 Read article
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The Role of Bioinformatics in Nursing: Transforming Healthcare through Data-Driven Insights
Abstract: Bioinformatics, an interdisciplinary field combining biology, computer science, and information technology, is increasingly shaping the nursing profession. It offers powerful tools for improving patient care, advancing clinical research, and enabling personalized healthcare through data-driven decision-making. This article examines the integration of bioinformatics into nursing practice, tracing its historical roots from the Human Genome Project to its current applications in genomic medicine, precision healthcare, and population health. Nurses now play a …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 18–21 Read article
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Crystalline and Polymeric Interactions in Multi- layered Bulletproof Glass: A Study of Ballistic Resistance and Structural Integrity
Abstract: Bulletproof glass is engineered to withstand high-impact projectiles, offering a critical line of defense in various industries such as banking, military, and armored vehicles. This study explores the structural composition, energy absorption mechanisms, and performance characteristics of bulletproof glass when exposed to ballistic threats. The glass consists of layered constructions, often involving polycarbonate and adhesive interfaces such as polyvinyl butyral, which enhance its energy absorption and resistance to projectiles. The …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 2, 2024 · pp. 10–17 Read article
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Disease X: Unveiling the Unknown Pathogen and Enhancing Global Preparedness
Abstract: “The concept of “Disease X” was introduced to drive the creation and refinement of versatile technologies such as vaccines, therapeutic drugs, and diagnostic tests, which could be swiftly adapted and utilized in response to future infectious disease outbreaks with epidemic or pandemic potential. The aim was to establish a proactive approach to emerging health threats by developing platform technologies capable of addressing a broad spectrum of potential pathogens. The COVID-19 …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 15–20 Read article
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Convolutional Neural Network Based Ripeness Detection of Fruits
Abstract: The accurate and efficient assessment of fruit ripeness plays a crucial role in ensuring the quality of fruits and optimizing supply chain management. This paper presents a novel approach for the automated detection of apple and banana ripeness using Convolutional Neural Networks (CNNs). The suggested method supports the capability of CNNs to learn hierarchical features from images, variations in color and shape associated with different ripeness stages. The online dataset …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 30–36 Read article
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Biochemical Changes in Chickpea (Cicer arietinum L.) Plants Induced by Flooding
Abstract: Flooding is a significant environmental stressor that affects the growth, development, and productivity of chickpea (Cicer arietinum L.), a crucial pulse crop grown worldwide, especially in India. This study investigates the biochemical changes in chickpea plants subjected to prolonged and sudden flooding. Key parameters analyzed include carbohydrate metabolism, protein content, chlorophyll levels, amylase activity, and proline accumulation. Results show that flooding significantly reduces total sugar content in leaves, stems, and …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 3, 2024 · pp. 1–9 Read article