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194 articles for “Types of frames”
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A brief survey on Alternative and Complementary Medicine with special reference to safety, toxins and toxicological concerns
Abstract: Alternative and Complementary Medicine (ACM) is a wide range of healthcare practices that may be used within or alongside conventional medicine, and many of these practices are rapidly becoming accepted and integrated into the modern healthcare system. In addition to traditional medicine systems (e.g. Ayurveda, Unani Medicine, Traditional Chinese Medicine, and Homeopathy), ACM includes practices that utilize natural remedies including herbal medicine, phytotherapy, naturopathy, acupuncture, yoga, and meditation. While these …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 1, 2026 · pp. 30–45 Read article
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Assessing Nanomaterial Toxicity and Environmental Behavior: Toward Sustainable and Safe Nanotechnology
Abstract: The rapid advancement of nanotechnology has introduced engineered nanomaterials into diverse sectors including medicine, agriculture, electronics, and consumer products. However, the unique physicochemical properties that make nanomaterials valuable also raise significant concerns about their potential toxicity to human health and ecological systems. This study presents a comprehensive survey-based analysis of 400 respondents from diverse professional backgrounds across seven countries to assess perceptions and understanding of nanomaterial toxicity mechanisms and environmental …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 1, 2025 · pp. 1–11 Read article
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Integrated Optimization of Solar Photovoltaic Systems Using Taguchi Method and Computational Fluid Dynamics for Enhanced Efficiency
Abstract: The transition to renewable energy demands efficient and reliable photovoltaic (PV) systems to meet rising global energy needs. This study presents an integrated optimization framework combining the Taguchi method and Computational Fluid Dynamics (CFD) to improve the thermal and electrical performance of solar PV systems. A structured experimental design using an L9 orthogonal array evaluates the influence of three key parameters—material type, panel thickness, and cooling mechanism—on system efficiency. Analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 10–25 Read article
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Buckling of Column of Supporting Frame Structure : A Review
Abstract: Column is a vertical strut or structural member which is subjected to an axial compressive load used for supporting purpose. For column, materials like reinforced concrete and mild steel are widely used. Angle section, I-section, channel section, box section are the common type of sections used for column. A form of deformation or sudden sideway failure of column occurs due to high axial compressive force is termed as buckling. When …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 31–40 Read article
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AI-Driven Multi-Objective Optimization of Conductive Polymer Composites for High-Performance Flexible Electronics
Abstract: The development of conductive polymer composites (CPCs) is critical for advancing flexible and wearable electronic technologies. However, the conventional trial-and-error approach to material formulation is time-consuming and often inefficient due to the high-dimensional nature of the design space. This study introduces a novel AI-driven framework that integrates machine learning (ML) with multi-objective optimization to accelerate the discovery of high-performance CPCs. A dataset of 1,000 experimentally reported formulations was compiled, capturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 734–745 Read article
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Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans
Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 Read article
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Environmental implications of Chitosan nanostructures.
Abstract: Chitosan (CS), as a biopolymer, has unrivalled chemical and mechanical modification capabilities to develop novel characteristics, functions, and applications, particularly in the manufacture of cutting-edge membrane adsorbents. Membrane adsorbents utilizing carbon starch (CS) have emerged as a viable and efficient engineering instrument for eliminating diverse pollutants from aquatic settings, including heavy metals and dyes. To date, much study has been directed towards improving the adsorptive characteristics, permeability, physicochemical stability, and …
Published in International Journal of Antibiotics · Vol. 1, Issue 1, 2024 · pp. 42–58 Read article
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Innovative Polymer Nanocomposites: Bridging Sustainability and Advanced Material Performance
Abstract: This study examines the evolution of bio-based polymer nanocomposites using eco-friendly synthesis methods to improve mechanical, thermal, and barrier properties. It involves the combination of sustainable synthetic polymers with natural polymers in the presence of nanofillers in a green and compatible fashion to generate durable nanocomposites. Optimal alignment of nanofillers with the polymer matrices can be achieved using solvent casting, melt blending, and in-situ polymerization as fabrication methods. Consequently, the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1671–1679 Read article
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A Review on the GNU Project
Abstract: AbstractIn this paper, I sketch the characteristics of an GNU project by considering a number of prominent examples, reviewing sociological literature, teasing apart the concepts of open and voluntary implicit in most usages of the term, and I offer a definition in which the much maligned possibility of forking is actually an integral aspect of openness. The objective of the GNU project was to make a free form of the …
Published in Journal of Open Source Developments · Vol. 3, Issue 3, 2016 · pp. 3–5 Read article
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Review on Women in Modern Poetry
Abstract: Women are an essential element in modern poetry, as poetry is one of the first Arab arts among Arabs. This art has emerged in Arab literary history since ancient times until it became a document through which one can learn about the conditions of Arabs, their culture, their conditions, and their history. As the Arabs tried to distinguish poetry from other different types of speech through the use of poetic …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 11, Issue 2, 2021 · pp. 12–18 Read article
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Experimental Investigation of Effect of Soil Structure Interaction on Buildings
Abstract: In the conventional analysis and design, buildings are generally considered to be fixed at their bases, but in actual practice, the support condition depends on the type of soil on which it is founded. The flexibility of the soil medium allows the movement of soil and foundation, which decreases in the overall stiffness of building frames and results in a subsequent increase in natural periods of the system. Thus, the …
Published in Journal of Structural Engineering and Management · Vol. 6, Issue 3, 2019 · pp. 32–45 Read article
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Detection of Cyberbullying on Social Media Using Machine Learning
Abstract: Online harassment disturbance by cyberbullying has grave repercussions. The majority of social networks have it in textual format and it exists in various forms. It is undeniable that more than 1.96 billion people are affected by social interactions online. However, as we move into the next decade, there are significant challenges to be faced in regulating user behaviour. The prevalence of harassment, bullying, and victimization has become a serious problem …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 3, 2022 · pp. 21–30 Read article
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Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 Read article
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Performance based seismic design of reinforced concrete asymmetrical building
Abstract: The nonlinear static analysis of asymmetrical G+20 reinforced concrete building is carried out using design tool. Nowadays, in most of the RCC framed buildings irregularities are commonly observed. Buildings needing simple regular geometry suffer much less damage than buildings with irregular configuration. The poor performance and structural damages in an irregular building type of structures during the frequent earthquakes increased the need to determine and evaluate the damages in the …
Published in Journal of Construction Engineering, Technology & Management · Vol. 10, Issue 1, 2020 · pp. 29–36 Read article
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Design and Fabrication of Agriculture based Product Filling and Packing Machine
Abstract: In earlier days, filling and packing was done manually; a person had to weigh the product using some means like weighing balance and then fill it to a container and then pack it. This takes lots of labor and time which is the key factor in the mass production as well as in batch production. To reduce the man power in packing field and to increase the productivity, this concept …
Published in Trends in Machine design · Vol. 6, Issue 2, 2019 · pp. 1–4 Read article
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CogniLeapAI: An Adaptive Personalized Learning Platform with AI-Powered Content Generation, Active Recall, and Intelligent Study Planning
Abstract: Students today must work through large volumes of academic PDFs with little tooling to support effective learning. Passive reading remains the default approach for most learners, yet it consistently produces poor retention and demands excessive preparation time. This paper presents CogniLeapAI, a web-based platform designed to convert static PDF documents into a closed-loop adaptive learning system. AI requests are routed across four providers (Google Gemini, OpenRouter, LaoZhang, and Kie.ai) with …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 45–63 Read article
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Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 15–27 Read article
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Utilizing Chemical Machining Methods in the Metalworking Sector
Abstract: Chemical machining is a kind of material removal technique used to produce desired shapes and dimensions by selectively or completely removing material through carefully regulated chemical attack using etchant solutions, which are solutions of acids or alkalis. One type of chemical machining is chemical milling, also known as contour machining, etching, or chemiluminescence. The aerospace industry uses chemical milling to remove thin layers of material from extruded parts for aircraft …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 1, 2024 · pp. 17–23 Read article
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A Customer Opinion Categorization Framework for Indigenous Items of Jaintia and Khasi Hills
Abstract: An online shopping web-portal can be the best way to promote the indigenous and traditional handmade items of different districts of Meghalaya state. Using this kind of website, different buyers and sellers can utilize the facilities provided by such platforms for selling and buying their products online. In this work, we have not put much more emphasis on the implementation details or developing part of the whole website, but here …
Published in E-Commerce for Future & Trends · Vol. 6, Issue 1, 2019 · pp. 7–15 Read article