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647 articles for “data structures”
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Prototype Model Development and Design Analysis of A Solar Tricycle for Physically Challenged People in India
Abstract: Society is greatly concerned about the mobility of individuals with physical disabilities. The scarcity of energy resources and the issue of pollution are currently the primary concerns. These issues can be resolved by employing alternative energy sources such as solar power. This paper presents an overview of the existing solar tricycles designed for those with disabilities. It also improves a handicapped-friendly solar-powered tricycle. The goal is to reduce handicapped people's …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 1, Issue 1, 2023 · pp. 43–56 Read article
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Targeting Vasopressin 2 Receptor (V2R) in Renal Cystogenesis by Exploring the Nephroprotective Potential of “Terminalia arjuna”
Abstract: Objectives: Autosomal dominant polycystic kidney disease (ADPKD) is the most common inherited kidney disorder, leading to the formation of multiple cysts in the kidneys. It is a major cause of end-stage renal disease (ESRD), which often requires dialysis or a kidney transplant for survival. This research focuses on identifying potential bioactive compounds derived from natural sources that show promise for drug development targeting the V2R gene. Methods: The naturally occurred …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 14–24 Read article
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Utilizing AWS Advanced Services for Modernizing and Refactoring Legacy Systems to Achieve Cloud-Native Capabilities
Abstract: Updating and restructuring outdated systems is essential for organizations seeking to harness the scalability, adaptability, and robustness offered by cloud-native architectures. Legacy systems can obstruct innovation because of their rigid structure, expensive maintenance, and inability to scale effectively. Amazon Web Services (AWS) provides a comprehensive suite of advanced services that enable the efficient transformation of such systems into modern, cloud-native solutions. This paper explores strategies and best practices for utilizing …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 44–65 Read article
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Relationship Between Mental Health, Competitive Aggression and Anger Rumination with Regard to the Role of Mental Health of Martial Arts Athletes in Gilan Province
Abstract: Due to the phenomenon of championship in sports, athletes are always very thirsty to achieve the championship and go on the podium, and this factor can cause negative behaviors by athletes, one of which is competitive aggression. Therefore, the main purpose of this study is to investigate the relationship between mental health, competitive aggression and anger rumination with regard to the role of mental health of martial artists in Gilan …
Published in Recent Trends in Sports · Vol. 1, Issue 1, 2024 · pp. 1–10 Read article
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QSAR Modeling Techniques: A Comprehensive Review of Tools and Best Practices
Abstract: Quantitative Structure–Activity Relationship (QSAR) modeling has become an essential tool in drug discovery, toxicity assessment, and environmental chemistry. By correlating chemical structure with biological activity or toxicity, QSAR enables the prediction of compound behavior without extensive experimental testing. This approach not only saves time and resources but also supports ethical practices by reducing reliance on animal studies. The evolution of QSAR from basic linear models to advanced machine learning and …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 56–63 Read article
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Revolution of Artificial Intelligence and Machine Learning
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are profoundly transforming various industries by introducing groundbreaking technologies such as deep learning, federated learning, reinforcement learning, and natural language processing. These innovations are not only reshaping the way organizations operate but are also opening new avenues for solving complex problems across diverse sectors, including healthcare, finance, transportation, and more. This study provides a comprehensive exploration of these emerging technologies, emphasizing their practical …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 38–44 Read article
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Explainable Machine Learning for Process Parameter Optimization in Gradient 3D-Printed Polymer Composites
Abstract: The explainable machine learning-based structure may be employed to achieve a favorable process parameter of the graduate 3D-printed polymer composite structures to improve the mechanical and thermal properties without compromising the transparency of the decisions made during the fabrication process. Gradient composite specimens were made by systematically varied process parameters like nozzle temperature, raster orientation, deposition speed, gradient transition rate and fused filament fabrication. A predictive model of tensile strength …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 847–866 Read article
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Predicting Student Placement Readiness: A Machine Learning Approach Using Coding Activities and Multi-Dimensional Performance Indicators
Abstract: In the modern information-driven academic world, identifying student employability and placement preparedness has predicted. be made a part and parcel of academic planning and career. development. This study provides a machine learning-based. structure to evaluate and forecast student placement pre-paredness by combining various performance aspects-academic achieve- ment, coding activity, aptitude and behavioral engage-ment metrics. Multi-source was gathered and preprocessed in the study. student information, such as student records (CGPA, attendance), …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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Green Fabrication of Glutaraldehyde-Crosslinked Chitosan/PVA Biocomposite for Heavy Metal Removal from Wastewater
Abstract: Chitosan (CS) and Polyvinyl alcohol (PVA) are polymers that possess biodegradable, biocompatible, and non-toxic properties, making them suitable for wastewater treatment applications. The primary objective of this research is to chemically modify chitosan in a novel manner to enhance its ability to remove hexavalent chromium Cr(VI) from aqueous solutions. In this study, a composite material was synthesized by crosslinking PVA and CS with glutaraldehyde (GA), resulting in the formation of …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 59–83 Read article
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Advancements in Windmill Technology: Comprehensive Research on Conventional and Piezoelectric Windmills
Abstract: This research delves into the structural components and mechanisms of conventional wind turbines, emphasizing blade material considerations for optimal performance. It introduces a paradigm shift by exploring the use of epoxy resin and piezoelectric materials, specifically zinc oxide, in wind turbine blades. The study presents mathematical models and conducts a comparative analysis between conventional and piezoelectric turbines, evaluating efficiency, cost-effectiveness, environmental impact, and energy output differences. While awaiting experimental data, …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 31–42 Read article
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Exploring the Architectural Identity and Culture of the Ikwerre Ethnic Group in Rivers State, Nigeria
Abstract: This paper investigates the architectural identity and culture of the Ikwerre ethnic group in Rivers State, through an analysis of traditional practices, spatial organization, and structural forms. This paper provides insights into the relationship between Ikwerre Architecture and Ikwerre culture. The study highlights the unique attributes of Ikwerre identity as expressed in their built environment and cultural practices, to establish the key features of Ikwerre Architectural identity and culture. A …
Published in International Journal of Rural and Regional Development · Vol. 2, Issue 2, 2024 · pp. 46–59 Read article
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AI-Powered Pharmacovigilance: Revolutionizing Adverse Drug Reaction Detection, Reporting, and Future Perspectives-A Review
Abstract: Pharmacovigilance is very important in drug safety as it monitors, identifies and prevents adverse drug reactions (ADR). Conventional pharmacovigilance systems are usually limited by underreporting and delay in signal detection as well as the inability to scale up. The pharmacovigilance sphere is undergoing a seismic shift with the arrival of AI. The use of AI-driven tools, such as machine learning and natural language processing, is transforming how ADR detection is …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 01–07 Read article
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Conceptual Design and Static Model Analysis of Landing Gear
Abstract: An aircraft's landing gear system plays a critical role in effectively managing and dissipating kinetic energy generated during the landing impact, as well as mitigating vibrations induced by the aircraft's passage over irregular runway surfaces. This capability is indispensable for the proper functioning of a well-designed landing system. Among the various types of shock absorber landing gear systems employed in aircraft, the oleo-pneumatic shock absorber stands out as the most …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 145–163 Read article
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Optimization of Automatic Energy Management System Using Renewable Resources
Abstract: With the increasing demand for energy efficiency and sustainability, smart home energy management systems (SHEMS) have emerged as promising solutions to optimize residential energy consumption. This paper presents a comprehensive review of SHEMS technologies, focusing on their design, implementation, and impact. SHEMS integrates advanced sensors, real-time data analytics, and intelligent algorithms to monitor, control, and optimize energy usage within the home environment. By leveraging machine learning and predictive modelling techniques, …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Dental Implant Analysis Using the Wear and Hardness Testing Method
Abstract: We will compare the number of implants from the manufacturer using either an analytical approach or a software-based approach using Minitab software regarding structural dental implants. Several factors influence a dental implant, and new bone grows. The implant surface is one of the elements that have a major impact on the quality of osteointegration. Various techniques and resources have been employed to modify an implant's surface to encourage osseointegration along …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 Read article
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A Review Paper of Automated Driving & ADAS Technologies
Abstract: Automated driving and Advanced Driver Assistance Systems (ADAS) are transforming road mobility, promising enhanced safety, improved traffic efficiency, and greater accessibility. This review presents a comprehensive synthesis of core technologies, system architectures, sensor modalities, perception and decision-making algorithms, and evaluation methodologies underpinning contemporary ADAS and automated driving. We provide a detailed discussion of the functional components—sensors (camera, radar, LiDAR, ultrasonic), localization, perception, prediction, planning, control, and human–machine interfaces—and how these …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 1–7 Read article
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A Generative AI Paradigm for a Global Crisis: Redesigning the Sanitary Pad Polymer Lifecycle for Environmental and Public Health in India
Abstract: The sale of disposable sanitary pads, most of which contain non-biodegradable polymers, especially polyethylene (PE), polypropylene (PP) and superabsorbent polyacrylates (SAPs), has led to a souring environmental and population health crisis, especially in India. A linear economic approach of take-make-dispose has resulted in the exponential growth of polymer waste that fully blocks drains, leads to microplastic pollution, and overloads insufficient waste management facilities. Traditional polymers are designed to be permanent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1570–1591 Read article
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Bioinformatics-based Preparation and Characterization of Silver Nanoparticles Synthesized from Pterocarpus marsupium
Abstract: Silver nanoparticles were synthesized using Pterocarpus marsupium bark extract in combination with silver nitrate solution through a green synthesis method. Silver nanoparticles formation was confirmed by the formation of dark brown from solution of silver nitrate, where the reduction of silver ion occurs which leads to the formation of silver nanoparticles. The UV–visible spectra showed a peak at 429 nm, confirming the reduction of silver ions and the subsequent synthesis …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 2, 2024 · pp. 21–34 Read article
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Green Synthesis and Evaluation of Electronic and Optical Properties of CdS/CdTe Quantum Dots
Abstract: The CdS/CdTe quantum dots (QDs), with altered concentrations of CdS, were synthesized using straightforward precursors through an environmentally friendly green method. The synthesized quantum dots were characterization by UV–visible absorption spectroscopy, Photoluminescence (PL), and Fourier Transform Infrared Spectroscopy (FTIR) to understand their electronic and structural properties. The average particle size is nearly consistent with the values derived from Brus's formula. The UV–visible spectra show a blueshift compared with pure sample, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 185–194 Read article
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Text to Flowchart Convertor
Abstract: With the advancement artificial intelligence tools and software, we can now transform process text into a proper formatted flowchart. This research work mainly focuses on how advancement of technologies has enabled to save time and energy by creating a structured understandable flowchart instead of merely presenting text, thereby converting process text into flowchart. Use of natural language processing (NLP) and libraries of JavaScript has led to easy transformation of text …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 18–25 Read article