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272 articles for “adjustment”
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Advancements in Nanotechnology and Biosensor Integration for Detection and Treatment of Alice in Wonderland Syndrome
Abstract: Alice in Wonderland Syndrome (AIWS) is an uncommon neurological condition characterized by profound distortions in perception. Individuals with AIWS experience altered body image and spatial awareness, often perceiving objects, surroundings, or even their own body as being unusually large, small, or distorted. The condition presents a unique challenge for both diagnosis and management due to its elusive and varied symptoms. This paper explores how advancements in nanotechnology and biosensor integration …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 3, 2024 · pp. 1–12 Read article
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Role of Crispr-Cas9 in Plants
Abstract: The innovative CRISPR Cas9 system has emerged as a game changing genetic engineering tool in years offering levels of precision, efficiency and flexibility in editing the genomes of various organisms, including plants. This summary aims to provide an examination of the role of CRISPR Cas9, in modifying plant genomes highlighting its benefits, drawbacks and possible uses. Thanks to its versatility and user-friendly nature CRISPR Cas9 technology has expedited studies in …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Stress Urinary Incontinence (Salasulul-Baul): A Review of The Unani Concept
Abstract: Greco-Arabic medicine, a rich repository of knowledge on various bodily ailments, offers significant insights into managing and treating numerous health conditions. Among these, urinary incontinence (UI) stands out as a frequently overlooked, underreported, and untreated medical issue that profoundly affects the quality of life for women across all age groups. Salasul baul, a term used in Greco-Arabic medicine, describes this distressing condition characterized by an inability to control urine, significantly …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 3, 2024 · pp. 30–33 Read article
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Structural, Electrical and Optical Properties of RGO-Incorporated PVA Nanocomposites for UV Shielding Applications
Abstract: Polymer matrix-based nanocomposites reinforced with appropriate nanoparticles have the potential to exhibit improved electrical, optical and mechanical properties, as well as improved UV-shielding capabilities. These materials are currently being utilised for various commercial applications, such as window shields and automotive components. We prepared reduced graphene oxide (rGO)-incorporated polyvinyl alcohol (PVA) polymer nanocomposites employing a solution casting method. XRD and SEM results confirmed that the rGO nanosheets were dispersed well in …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 119–137 Read article
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Real-time Operating Systems in the Era of IoT: Challenges and Solutions for Time-Critical Applications
Abstract: Real-time operating systems (RTOS) are essential in the Internet of Things (IoT), as they ensure timely responses to events, which is critical for the performance and reliability of connected devices. This paper delves into the unique challenges faced by RTOS in IoT environments, highlighting issues such as limited computational resources, strict latency requirements, and the increasing need for robust security mechanisms. The resource constraints inherent in many IoT devices, which …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 13–24 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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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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The Transformative Journey of Pregnancy: Insights into Maternal Adaptations
Abstract: During pregnancy, a woman’s body changes in many ways because of hormones. These changes can sometimes be uncomfortable, but most of the time they are normal and enable her to nourish and protect the fetus, prepare her body for labor, and develop her breasts to produce milk. During pregnancy, changes in hormone levels drive a wide range of physical transformations in a woman’s body, all of which play an essential …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 84–92 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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Innovative Porcelain Insulators: Prolonged Durability and Anti-Contamination Efficiency via Nano-TiO2 Photocatalyst Integration
Abstract: Porcelain has long been a critical material in high-voltage electrical insulation due to its exceptional mechanical, thermal, and dielectric properties. However, environmental contamination and material degradation over time pose significant challenges to its durability. This study investigates the integration of nano-sized titanium dioxide (TiO2) photocatalyst coatings on porcelain insulators to enhance their performance and prolong their operational lifespan. Local clay compositions were analyzed, and a comparative study of untreated and …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 2, 2024 · pp. 18–23 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
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Reducing Environmental Impact through Optimized Non-Renewable Resource Management: A Systematic Review of Technological Advances
Abstract: The term "optimized use of non-renewable resources" describes the prudent management and optimization of limited natural resources that are difficult to replenish or regenerate quickly. Minerals, nuclear fuels, and fossil fuels (coal, oil, and natural gas) are examples of resources that are not renewable. The abstract idea is to minimize waste, the impact on the environment, and the pace of depletion while optimizing the utility obtained from these resources. Advanced …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 12–19 Read article
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Analysis of Thermal Performance Improvement of Engine Fins by Varying the Materials and Profiles Used at High Temperatures
Abstract: In this thesis, we will design fins using various profiles and materials to identify the optimal combination for a 100cc engine. We will also test different materials for fins to evaluate the engine's heat efficiency. Our study will involve a comparison between the optimized fins and the original aluminum fins currently used. To ensure the optimal performance of the 100cc engine, we will utilize advanced analytical software to thoroughly analyze …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 1, 2024 Read article
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Carbon credits as a key tool in Enhancing Environmental Sustainability in Automobile Industry in India
Abstract: Sustainable development is crucial for overall prosperity of the world. Climate change and the automobile industry have an interesting relationship. long years of environmental policies have been committed to upgrading natural sustainability through accomplishing carbon neutrality or energy utilization effectiveness. This article examines the role of carbon credits as a vital tool in promoting environmental sustainability within the automobile industry. This article research into the specific applications of carbon credits …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Advances in Smart Cradle Design: Automation and Monitoring Systems for Infant Care
Abstract: With the hectic schedules of working parents currently, raising a baby has become difficult. The arduous juggling between career obligations and childcare responsibilities can strain the very limits of human capacity. The choices have historically been to entrust the child's care to either senior family members or hiring a dedicated infant carer in situations like these, where time's unrelenting passage leaves little time for a full 24-hour commitment to the …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 2, 2024 · pp. 34–43 Read article
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The Role of Adaptive Filters in Enhancing Acoustic Echo Cancellation Efficiency in Noisy Environments
Abstract: The novel approach that this work discusses is a DCD-based iterative learning filter approach improved with deep learning methodologies, designed to improve the efficiency of acoustic echo cancellation. The proposed system can really manage both linear and nonlinear echo scenarios, dynamically adapting to fluctuating acoustic environments. The above comparative evaluations with standard filter, the standard RLS filter, indicate that the mean square error, and the standard deviation of the correlation …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 2, 2024 · pp. 9–24 Read article
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Leveraging Origami for Space Efficiency: A Comprehensive Review of Its Role in Aerospace
Abstract: Originating in East Asia, origami has developed beyond its original artistic medium to play a significant role in the design of adjustable systems, especially in the sector of space engineering. Due to tight weight and space constraints, these structures which are essential for aviation and spacecraft make effective use of the geometric qualities of origami. This study provides a summary of recent research, emphasizing the benefits, technical applications, and uses …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 43–50 Read article
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Strengthening Neurological and Familial Interventions: Adult Coping Following Pediatric Brain Injury and Comorbidity
Abstract: Background: Pediatric traumatic brain injury (PTBI) contributes to long-term physical, cognitive, and emotional difficulties and is a major cause of mortality and disability in children. An estimated 200,000 fatalities in India each year are attributed to traumatic brain injuries, with PTBI accounting for a significant share of these cases. Accidents, abuse, and sports injuries are just a few of the causes of post-traumatic brain injury (PTBI), which can result in …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 7–15 Read article
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Machine Learning-Driven Force Analysis for Tool Wear Prediction Systems
Abstract: A system designed to forecast tool wear by utilizing a force sensor to monitor the wear of the tool's flank and applying a Convolutional Neural Network (CNN) for forecasting purposes. The methodology is demonstrated through experiments in milling, utilizing dry machining with a ball endmill on a stainless-steel component. The flank wear of the tool is directly assessed using a digital microscope throughout the operation. The forecasts produced by the …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 16–25 Read article
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Parametric Study of Fiber-Reinforced Concrete with Partial Cement Substitution Using Fly Ash and Rice Husk Ash
Abstract: This research aims to evaluate the impact of incorporating steel fibers [SF] and partially substituting cement with rice husk ash [RHA] and fly ash [FA] on the properties of concrete. SF were added in different volume fractions [0%, 0.25%, 0.5%, 0.75%, and 1.0%], combined with 10% RHA and 20% FA. Initially, the concrete mix contained 30% FA with no RHA, which was then adjusted to a mix of 15% FA …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 171–180 Read article