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1954 articles for “Performance” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Exploring the Application of 5-axis CNC Machining for the Fabrication of an Impeller for Single Suction Centrifugal Pump
Abstract: This study delves into the practical application of 5-axis machining for the fabrication of an impeller for a single suction centrifugal pump. It explores the integration of CNC machining and CAD as a crucial aspect, highlighting the synergy between design and manufacturing. The efficiency and performance of the pump are greatly influenced by the impeller, an important part of pump design. Impellers made using traditional manufacturing techniques frequently have intricate …
Published in International Journal of Manufacturing and Production Engineering · Vol. 1, Issue 2, 2023 · pp. 9–19 Read article
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Emerging Trends in Data Structures for Modern Machine Learning Applications
Abstract: In the realm of machine learning, data structures play a pivotal role in facilitating efficient data manipulation, storage, and retrieval, thereby significantly impacting the performance and scalability of machine learning algorithms. In recent years, the field of machine learning has witnessed the emergence of novel data structures tailored to address scalability and efficiency challenges inherent in handling large-scale and high-dimensional data. This study provides a look at the data preprocessing, …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
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Retrofitting of RC Beams Using FRP and FRCM
Abstract: The deterioration of reinforced concrete (RC) structures due to various factors such as aging, aggressive environments, or increased loads poses significant challenges to structural integrity and safety. Retrofitting techniques have emerged as effective solutions to enhance the structural performance of existing RC members. Among the retrofitting options, the use of Fibre Reinforced Polymer (FRP) and Fibre Reinforced Cementitious Matrix (FRCM) systems have gained considerable attention in recent years. The study …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 31–40 Read article
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Revolutionizing Geopolymer Composites: Unveiling Intelligent Wall Facades and Precision PZT Sensors for Vibration Analysis
Abstract: Evaluating the mechanical performance and environmental benefits of geopolymer composites is imperative for sustainable alternatives in construction. This study presents an innovative circular PZT-based sensor that effectively captures transient vibrations within concrete structures, demonstrating its validity in comparison to standard surface-mounted accelerometers. The research also elucidates the influence of sensor orientation on capturing various vibrational modes of concrete. Furthermore, the embedded PZT sensors provide valuable insights into the evolving mechanical …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 59–73 Read article
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Advancing Light Emission: A Comprehensive Review of Recent Electroluminescence Material Developments
Abstract: This paper explores the remarkable strides made in the field of electroluminescence and their profound impact on luminescence research. The emission of light because of excitation is known as luminescence. Electroluminescence, a specific form of luminescence triggered by an electric field, has emerged as a promising area of investigation. The underlying principles of luminescence and the intricate mechanisms driving electroluminescence have been examined. Furthermore, recent breakthroughs in electroluminescent materials, device …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 14, Issue 2, 2024 · pp. 08–16 Read article
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Rainwater Measuring Algorithm in O(1) Time Complexity
Abstract: The Rain Terraces Time Complexity Data Structure Algorithm (RTTCDSA) introduces a novel method for managing temporal data efficiently, inspired by the natural flow of rainwater on terraced landscapes. This study presents the conceptual framework and implementation details of RTTCDSA, which leverages principles of temporal dynamics and landscape morphology to organize and query temporal data with optimal time complexity. RTTCDSA employs a hierarchical structure akin to terraced landscapes, facilitating rapid traversal …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 26–32 Read article
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Evaluation of the anti diabetic effects of ethanolic root extract from polyalthania longifora in diabetic rats induced by streptozotin and nicotinamide with considaertion of toxocological aspects
Abstract: The root of Polialthia Longifolia was selected for the evaluation of antidiabetic potential in STZ-nicotinamide induced diabetic rat model.The root extract was extracted by hot percolation using ethanol as a solvent in soxhlet apparatus and the preliminary phytochemical screening was performed and it shows that the ethanolic root extract of Polialthia Longifolia contains alkaloids, glycosides, flavonoids and tannins. Safety profile is essential for the drugs obtained from the plant origin. …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 1, 2024 · pp. 37–50 Read article
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Development and Validation of a Robust RP-HPLC Method for Rufinamide Quantification in Pharmaceutical Dosage Forms
Abstract: The creation and validation of a simple, precise, and targeted reverse phase high-performance liquid chromatographic (RP-HPLC) approach allowed for the quantification of rufinamide in pharmaceutical dosage forms. With a mobile phase of methanol and water (50:50, v/v), the technique used a gradient mode Symmetry Qualisil gold C18 column (4.6 x 150mm, 5 μm). For the detection method, a flow rate of 1 mL/min was employed at 220 nm. During a …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 1, 2024 · pp. 25–32 Read article
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Assessment of Diuretic Activity of Hydroalcoholic Extract of Matricaria Chamomilla (Linn.) and Its Phytochemical Analysis with Emphasis on Toxicology
Abstract: While the traditional medicines are derived from medicinal plants, minerals and organic matter, the herbal drugs are prepared from medicinal plants only. This current research work will be very beneficial in figuring out the Matricaria chamomilla leaves extract diuretic effect by determining the ions and electrolyte excreted by the animals using ion selective channel inhibition. The phytochemical screening results revealed that the after which it was observed whether the alkaloids …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 1, 2024 · pp. 1–10 Read article
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Versatile CNC Machine for Tabletop Use Enhanced with Machine Learning Integration
Abstract: In the realm of tabletop multipurpose CNC machines, the integration of machine learning represents a groundbreaking advancement potentially revolutionary in the field of desktop manufacturing. This research explores the seamless incorporation of machine learning algorithms into tabletop CNC machines to enhance their capabilities, performance, and user experience. Through case studies and examples, we demonstrate the profound impact of machine learning integration in key areas of CNC machining, such as accurate …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 353–361 Read article
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Development of an Innovative Nanotransdermal Formulation Utilizing an Optimal Combination of Acyclovir and Omeprazole to Improve Antiviral Efficacy
Abstract: The study effectively created nanogel formulations of Acyclovir and Omeprazole using the solvent diffusion technique. Among the various formulations (F1–F9), F9 was identified as the most suitable for gel preparation based on its pH evaluation. Drug content analysis, performed using UV-spectroscopy, confirmed the homogeneity of the prepared nanogels, which appeared opaque, free of lumps, particles, or aggregates. The spreadability assessment of F9 demonstrated excellent spreadability, while viscosity values for all …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 1, 2024 · pp. 19–35 Read article
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PI and Fuzzy Logic Controller Based Analysis of Load Frequency Control for Thermal-nuclear Hybrid Energy Systems
Abstract: In this paper a two-area system: area-1, which has a thermal power plant, and area-2, which contains a nuclear power plant. By combining these domains, two area thermal-nuclear systems are developed in the MATLAB Simulink framework. To ensure the quality of power generated and to feed the load, generation should be raised in tandem with the growth in load demand, or the network should be connected. Using various controllers, LFC …
Published in Trends in Electrical Engineering · Vol. 14, Issue 1, 2024 · pp. 1–9 Read article
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A Comprehensive Review On Panic Disorders
Abstract: Panic disorder is a prevalent mental health condition characterized by sudden, recurring episodes of intense fear accompanied by physical symptoms. It is twice as likely to affect women and may have a genetic predisposition. This disorder stems from an exaggerated response of the body's survival mechanisms and hormones, impacting manifestations like agoraphobia. Additionally, it is associated with significant psychiatric comorbidity and impaired functioning in various roles. Recent research has delved …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 1, 2024 · pp. 53–59 Read article
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Challenges in Parallel Computing for Big Data Analytics
Abstract: The integration of parallel computing into the realm of big data analytics promises accelerated processing speeds and enhanced scalability, but it is not without its formidable challenges. This study explores the multifaceted hurdles faced in the pursuit of efficient parallel processing for large-scale data analytics. The intricate task of distributing and partitioning massive datasets across multiple processing units demands adept strategies to ensure equitable workloads. Load balancing emerges as a …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 1–6 Read article
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A study to assess the effect of nutritional supplementation on the hemoglobin level and the associated signs and symptoms of the students identified with anaemia in selected colleges of SNDT Womens’ University Mumbai
Abstract: The purpose of this study was to assess the effects of nutritional supplements on haemoglobin levels and related symptoms among students at SNDT Women's University in Mumbai who had been diagnosed with anaemia in a few particular institutions. Non-occurrence A sample of thirty anaemic students was selected via easy sampling. With a one-group pre-test-post-test methodology, the study used a descriptive evaluative design. Data collecting instruments included measurement devices, opinion questionnaires, …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 2, 2024 · pp. 16–25 Read article
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Comprehensive Overview of Analytical Chemistry: Principles, Techniques, and Method Validation
Abstract: Analytical chemistry constitutes a vital discipline within the realm of scientific inquiry, facilitating the identification and measurement of components present in diverse substances and mixtures. This paper delineates the principles, methodologies, and applications of analytical chemistry, focusing on spectroscopy and chromatography techniques. Spectroscopy, including UV-Visible spectroscopy, elucidates molecular properties by analysing the absorption of electromagnetic radiation, while chromatography enables the separation of compound mixtures based on differential affinities to stationary …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 1, 2024 · pp. 14–21 Read article
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Exploring the Applications and Advancements of Copper and Copper Alloys in Modern Manufacturing Processes
Abstract: For industrial uses, copper represents one of the greatest technical materials offered. This review paper discusses on the history of copper and copper alloys, salient features of wrought and cast copper alloys, physical and chemical characteristics of copper alloys, classification of copper alloys, design for manufacturing of copper alloys, mechanical properties of cast copper alloys, role of lead in copper alloys and applications of copper alloys in various engineering industries. …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 2, 2023 · pp. 1–9 Read article
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TOPSIS-Driven Optimization of FFF Process Parameters for Mechanical Strength Enhancement
Abstract: In this study, the application of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method for optimizing Fused Filament Fabrication (FFF) process parameters to enhance the tensile and flexural strength of Polylactic Acid (PLA) material-based 3D printed components is explored. This investigation delves into the intricate relationship between key parameters, such as layer height, print speed, infill density, print temperature, and nozzle diameter, and their impact …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 246–255 Read article
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Paradigm of Artificial Intelligence in Business Management
Abstract: Artificial intelligence stands out as a prominent trend in today's technological landscape, enabling machines to engage in human-like thinking, learning from experiences, adapting to new inputs, and making decisions. This capability facilitates rapid and error-free results, akin to human rational decision-making. In the contemporary business landscape, which is often regarded as a cornerstone for national development, artificial intelligence plays a pivotal role. Businesses, ranging from small-scale enterprises to medium-sized ones …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 26–30 Read article
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Machine Learning Based House Price Forecasting
Abstract: This research endeavours to craft a predictive model leveraging machine learning to estimate the market value of houses in Delhi. By integrating Python and its powerful libraries, pandas for data processing, Plot for interactive visualizations, scikit-learn for implementing machine learning algorithms, XGBoost for boosting the model's prediction accuracy, and to evaluate the model's performance cross-validation techniques are used. An interactive user interface is created using a Flask web application to …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 5–11 Read article