Models and modeling
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Evaluate the analgesic effect of “Dinh Thong Phong” capsules on experimental animals. Subjects and methods: “Dinh Thong Phong” capsules, meeting the standard criteria, were evaluated for analgesic effect on white mice. In particular, the central analgesic effect was assessed using the hot plate model, peripheral analgesic effect was assessed using the writhing pain model.
4p vipanly 28-10-2024 0 0 Download
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The study was conducted to determine the level of awareness, behavior and willingness to pay for reusable bags of students at Thai Nguyen University of Economics and Business Administration. We applied Contingent Valuation Method and conducted a survey of 370 students at Thai Nguyen University of Economics and Business Administration.
8p viengfa 28-10-2024 0 0 Download
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This study is designed to validate the impact of entrepreneurial mindset on product innovation outcomes in technology-based enterprises while concurrently examining the mediating influence of business model innovation.
9p viengfa 28-10-2024 1 0 Download
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Accurate daily load forecasting is critical for effective energy management planning. In this study, the article proposes a new method for daily load forecasting that takes advantage of load data and weather data over time in Tien Giang.
10p viengfa 28-10-2024 0 0 Download
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This study investigates the effect of various experimental conditions, such as initial pH, initial arsenic concentration, shaking temperature, and contact time, as well as thermodynamics models on the ability to remove arsenic from water.
8p viengfa 28-10-2024 0 0 Download
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This study focuses on evaluating short-term deflections of reinforced concrete beams according to the Vietnamese Standard on the Design of Concrete and Reinforced Concrete Structures (TCVN 5574:2018) by comparing them with simulated results obtained from Abaqus software.
9p viengfa 28-10-2024 0 0 Download
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Folding plates with wavy shapes made of composite materials have been widely applied, hence designing this type of structure is significant in practice. In this research work, the results of static calculation of the sinusoidal corrugated composite plates will be analyzed.
9p viengfa 28-10-2024 0 0 Download
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Accurate forecasting of the electrical load is a critical element for grid operators to make well-informed decisions concerning electricity generation, transmission, and distribution. In this study, an Extreme Learning Machine (ELM) model was proposed and compared with four other machine learning models including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU).
10p viengfa 28-10-2024 1 0 Download
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In this paper, the effect of continuous carbon fibers (CCF) on the stiffness of 3D printed frames is investigated. Fused deposition modelling (FDM) technology is employed to build three typical frames with 15% of CCF and 85% poliamide 12 which is combined 10% short carbon fibers (PA12-CF) for compress testing.
7p viengfa 28-10-2024 0 0 Download
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The process of neural stem cell (NSC) differentiation into neurons is crucial for the development of potential cell-centered treatments for central nervous system disorders. However, predicting, identifying, and anticipating this differentiation is complex. In this study, we propose the implementation of a convolutional neural network model for the predictable recognition of NSC fate, utilizing single-cell brightfield images.
7p viengfa 28-10-2024 1 1 Download
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This paper evaluates an energy harvesting strategy for UAVs from sunlight and laser beams on cloudy days with a low-level cloud layer. The channel models and harvested powers for both cases are considered and analyzed using mathematical equations and simulation results.
7p viengfa 28-10-2024 2 1 Download
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This paper is structured as follows. The following section presents related work. Section 3 summarizes the characteristics of the two datasets utilized in the model and the system’s overall architecture for image-based disease diagnosis. Section 4 provides our experimental results that compare the performance metrics with other studies.
6p viengfa 28-10-2024 1 1 Download
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This study proposes to test a combination model between CNN network and XGBoost algorithm for weather image classification problem. The proposed model uses deep learning network, namely CNN for feature extraction, then feeds the features into the XGBoost classifier to recognize the images.
6p viengfa 28-10-2024 1 1 Download
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In this paper, a nonlinear path tracking controller based on a combination of kinematics and torque backstepping methods is applied to a nonholonomic Two-Wheeled Mobile Robot (WMR). The mobile robot is considered in terms of dynamics model in Cartesian coordinates and its parameters are exactly known.
6p viengfa 28-10-2024 1 1 Download
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The paper explores the application of the Modal Truncation algorithm in Model Order Reduction, focusing on its effectiveness in reducing high-dimensional mathematical model. The algorithm identifies dominant modes governing dynamic responses, discards the high-order model, and reconstructs a new model with reduced dimensions.
6p viengfa 28-10-2024 2 1 Download
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This research provides a comprehensive investigation of the planar anisotropy in stainless steel SUS 304. Constitutive modeling approaches, employing both associated and non-associated flow rules, using quadratic functions have been applied in the simulation process.
10p viengfa 28-10-2024 1 1 Download
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In this article, analytical, synthesis, and comparative methods are employed to evaluate and provide valuable insights, leading to the proposal of an energy-efficient model and Carbon dioxide emission reduction for Vietnam's tropical islands.
11p viengfa 28-10-2024 2 1 Download
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The main objective of this study is to predict accurately the loaddeflection of composite concrete bridges using two popular machine learning (ML) models namely Random Tree (RT) and Artificial Neural Network (ANN). Data from 83 track loading tests conducted on various bridges in Vietnam were collected and analyzed.
9p viengfa 28-10-2024 2 1 Download
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This article conducts an exhaustive investigation into the utilization of machine learning (ML) methods for forecasting the maximum load capacity (MLC) of circular reinforced concrete columns (CRCC) using Fiber-Reinforced Polymer (FRP). Extreme Gradient Boosting (XGB) algorithm is combined with novel metaheuristic algorithms, namely Sailfish Optimizer and Aquila Optimizer, to fine-tune its hyperparameters.
18p viengfa 28-10-2024 1 1 Download
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Predicting the macroscopic permeability of porous media is critical in various scientific and engineering applications. This study proposes a novel model that combines Random Forest (RF) and rime-ice (RIME) optimization algorithm, denoted RIME-RF-RIME, to predict permeability based on six key features covering fluid phase dimensions, geometric characteristics, surrounding phase permeability, and media porosity.
14p viengfa 28-10-2024 1 1 Download