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298 articles for “rat model”
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Predictive Model to Monitor Dissolved Oxygen Deficit and Velocity Variation Influenceon Mycoplasima Transport in Choba River
Abstract: This paper expressed various impacts from oxygen and river velocity on the transport of Mycoplasima in Choba River. The study monitor the impact of these two parameters at different pointsource of waste discharge in the River, other parameterswere integrated, but were not considered significant, since there rate of impact were not determined in the study location. The two considered parameters were applied in the system to determined their direct rate …
Published in International Journal of Water Resources Engineering · Vol. 6, Issue 1, 2020 · pp. 10–20 Read article
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Evaluation of Kinetic Parameters of Crude Oil Remediation Using Bio-Stimuant of Mint Leaf (Mentha piperita)
Abstract: Kinetic parameters of crude oil degradation as related to total petroleum hydrocarbon (TPH) were evaluated. The experiment was set-up using crude oil, loamy soil polluted and addition of bio-stimulant (nutrient based substance). The depletion of the pollutant was monitored within the contact time of 7 to 35 days. At intervals of 7 days samples were collected and analyzed to determine the TPH concentration at each bioreactor set-up, through subjecting the …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 1, 2026 · pp. 62–71 Read article
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Modeling 28 Days’ Curing Compressive Strength of Concrete Partially Replaced with Palm Kernel Shell as Aggregate Influenced by Porosity
Abstract: Twenty-eight days of curing to determine compressive strength of concrete were carried out throughthe application of modeling and simulation. The development of concrete compressive strength wascarried out by integrating palm kernel shell (PKS) as partial replacement for aggregate. Studies weremonitored to determine its rates of strength development by partially replacing PKS at differentpercentage of 5%, 10%, 15%, 20%, and 25% to determine the optimum compressive strength withinthe applied percentage of …
Published in International Journal of Concrete Technology · Vol. 9, Issue 2, 2023 · pp. 26–40 Read article
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A Machine Learning Framework for Fake News Detection Using Embeddings and Dimensionality Reduction
Abstract: The broad sharing of information throughout human history was greatly accelerated by the emergence of the World Wide Web and the swift rise of social networking platforms such as Facebook and Twitter. Due to the extensive use of social media, users now generate and distribute vast amounts of content at an unprecedented rate, and a portion of this information is inaccurate or detached from factual reality. Automatically classifying a written …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 8–14 Read article
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Lie Detector for Loyalty Test Using Biomedical Device
Abstract: This paper describes the real time working of a Simulink based blood pressure and body temperature monitoring system based on ATMEGA 328 (Arduino uno). The major monitoring system in use give the output on a liquid crystal display, even if it is a digital circuit, it is prone to noise and distortions. So, we are using a new technique to make this health monitoring system more accurate. We are adding …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 8, Issue 1, 2022 · pp. 8–13 Read article
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Artificial Neural Network Model to Predict Reservoir Storage
Abstract: The rapid growth in population increases water demand thus resulting in scarcity of water which is due to improper management rather than lack of resources. Reservoir is the most important source for surface water. So, reservoir storage plays a crucial role in efficient reservoir management. Artificial neural network (ANN) is capable of simulating reservoir storage capacity. So, in present work cascade forward back propagation and feed forward back propagation network …
Published in International Journal of Water Resources Engineering · Vol. 4, Issue 1, 2018 · pp. 1–8 Read article
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Parametric Analysis of Ribbed Channels for Gas Turbine Engines
Abstract: This work uses experimental data to validate a ribbed surface that is computationally examined interior passageway of a static blade on a turbine. to replicate an illustration from a released publication while researching the Computational Fluid Dynamic conjugated heat transmission. The turbulence simulation matched the most closely. Publicly available physical practical results were found by working on Ansys Workbench. Convective heat exchange efficiencies additionally to stress profiles utilizing those computationally …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 9, Issue 2, 2023 · pp. 28–34 Read article
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Finite Element Modeling of Deep Reinforced Concrete Beams with Web Openings
Abstract: The effects of openings on the ultimate capacity of deep beams have been studied experimentally by many researchers. However, there’s still need for analytical study using numerical methods and also the development of simple stiffness reduction models that can be easily used for quick prediction of the effects of opening sizes on the stiffness of deep reinforced concrete beams. This study is focused on modeling the behavior of deep reinforced …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 4, Issue 2, 2018 · pp. 22–30 Read article
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Seismic Analysis and Design of an RCC Twisted Building Using with ETAB
Abstract: This paper investigates the structural behavior of reinforced concrete (RCC)-twisted buildingssubjected to seismic loads using ETABS software. The study focuses on analyzing various degrees oftwist in RCC-twisted buildings, specifically examining the angles of 1.5, 2, 2.5, 3, and 3.5 degrees perfloor. The study looks at how these different twist rates affect important structural parameters like baseshear, story displacement, and story drift through detailed modeling and analysis in ETABS. Theobjective of …
Published in International Journal of Structural Engineering and Analysis · Vol. 10, Issue 1, 2024 · pp. 47–59 Read article
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Prediction of Compressive Strength of Concrete with Decision Trees
Abstract: In the past few researchers predicted the compressive strength of concrete from its ingredients employing data driven technique like artificial neural network (ANN) and Decision Tree (DT). For Indian concrete records, only one study was available which had employed ANN for prediction. Evaluation of different performance metrics indicated that there was scope of improvement in the prediction performance. In this paper experimental data from the literature was utilized for development …
Published in International Journal of Concrete Technology · Vol. 2, Issue 1, 2016 · pp. 19–29 Read article
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Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons
Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep learning architectures such as VGG, ResNet, and Hybrid CNN–RNN models. The proposed CNN-based system, developed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31 Read article
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Comprehensive Review and Analysis of Gas Turbine Power Plant Performance: Impact of Operating Conditions, Ambient Temperature, and Cycle Configurations
Abstract: This study presents a comprehensive review of gas turbine (GT) power plants, focusing on simple and complex cycles. The review examines the influence of operating conditions, ambient temperature, and cycle configurations on GT performance. Turbine work and thermal efficiency decrease with increasing ambient temperature. Thermal efficiency increases linearly with compression ratio, but decreases with ambient temperature. Specific fuel consumption (SFC) increases with ambient temperature and lower turbine inlet temperature. Compression …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 16–28 Read article
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Impact of I/Q Imbalance Due to Gain and Phase Mismatcheson IRR, Image Leakage, Constellation Distortion, SNR and BER in OFDM Systems
Abstract: Due to its great spectral efficiency and resilience to multipath fading, orthogonal frequency division multiplexing,or OFDM, has become a popular modulation technique in contemporary wireless communication systems.Reliable OFDM reception depends on accurate channel estimate, and methods like Least Squares (LS) andMinimum Mean Square Error (MMSE) estimation are frequently used to make up for channel impairments.However, despite effective channel estimation, practical receiver performance can still be degraded by radio-frequency front-end imperfections, …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Extractive Distillation study for the system Acetone - Chloroform – DMSO
Abstract: Acetone- chloroform is a maximum boiling azeotropic mixture which is frequently observed in the pharmaceutical and specialty chemicals industries. Conventional distillation does not yield the desired separation into pure components that is Acetone and Chloroform. Present work, focuses on separation of mixture by Extractive Distillation (ED) using PRO/II simulation software. Solvent used in separation of the mixture is DMSO (Di Methyl Sulfoxide) and thermodynamic model UNIFAC is selected for the …
Published in International Journal of Chemical Separation Technology · Vol. 4, Issue 1, 2018 · pp. 1–12 Read article
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Communication Channel Model between Two Neighbors in UAV Networks
Abstract: Unmanned Aerial Vehicle "UAV" networking is evolving as a major state of the art research field, thanks to the foreseen revolution in its applications. Enhancing the performance of such networks requires developing a channel model between any couple of neighbors within the UAV network. In this paper, we present a statistical signal reception model for the shadowed communication channel between two neighbors in a UAV network. In this model, we …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 1, Issue 2, 2015 · pp. 11–27 Read article
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Review Study on Experimental Investigation of Heat Transfer Using Al2O3 and CuO Nanoparticles with Water as Base Fluid Through Circular Tube of Heat Exchangers
Abstract: A colloidal mixture of nanometric particles (<100 nm) in a base liquid called nanofluid, which is the new generation of heat transfer fluid for various heat transfer applications where the transport characteristics are substantially higher than the base liquid. This review summarizes and analyzes the empirical correlations for the effective thermal conductivity and the dynamic viscosity of the nanofluid on the basis of experimental data and the theoretical model available …
Published in International Journal of Mechanics and Design · Vol. 3, Issue 2, 2017 · pp. 17–23 Read article
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Integrated Process Design and Simulation of Amine-Based CO₂ Capture: A Path to Emission Control
Abstract: The flow sheet must represent the complete process in detail taking care of all process equipment. ASPEN HYSYS simulation software was used to simulate the process, the models of the process was simulated using MATLAB. The concentration of the atmospheric CO 2 was found to having been increasing steadily and has risen up to 35% since the Industrial Revolution. This rate, at which the concentration of CO 2 is increasing, …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 11, Issue 2, 2025 Read article
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Thermal Analysis of Earth Heat Exchanger Using Air as a Medium
Abstract: Thermal energy is the main concept of an earth air tube heat exchanger (EATHE), which uses the thermal energy of the ground for cooling and heating of the fluid medium. Here, air is used as cooling medium. The air cools in summer and gets heated in winter due to the temperature difference between the air and underground surface. However, for the study of the surface heat convection study of model …
Published in International Journal of Computer Aided Manufacturing · Vol. 4, Issue 1, 2018 · pp. 1–17 Read article
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Investigating Pipeline Integrity Failure as a Result of Corrosion
Abstract: The study reviewed different failure factors and data of onshore crude oil pipelines covering corrosion, external interference, structural defects, and operators’ errors. The focus of this research is to identify factors affecting failure of crude oil pipelines in Nigeria due to corrosion with analysis of failure data from 2008–2017. Corrosion (internal and external) over total length of available pipelines for each year was analysed to determine the current mean time …
Published in International Journal of Composite Materials and Matrices · Vol. 7, Issue 2, 2021 · pp. 1–8 Read article
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Toward Sustainable Intelligence: A Framework for Green AI Adoption
Abstract: The rapid expansion of Artificial Intelligence has shattered the illusion of the cloud as an ethereal entity, revealing a massive physical infrastructure with a staggering environmental price tag. The traditional Red AI paradigm – where success is measured solely by accuracy through brute-force scaling – has created an unsustainable trajectory. Training a single large-scale model like GPT-3 requires 1,287 MWh of electricity, while the necessary cooling systems evaporate millions of …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 17–23 Read article