Modeling

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

Nghiên cứu áp dụng mô hình hồi quy dữ liệu bảng động (Dynamic panel data model regression) để đánh giá tác động dài hạn của quản trị công đến tăng trưởng kinh tế bằng cách sử dụng dữ liệu về bộ chỉ số quản trị của Ngân hàng thế giới cho 23 quốc gia thu nhập trung bình tại khu vực châu Á trong khoảng thời gian 12 năm (từ năm 2008 đến năm 2020).

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The fuzzy time series model has become a research topic attracting attention because of its practical value in the field of time series forecasting, specifically, it is useful for time series with small observations or the one of strong fluctuations. This paper introduces a fuzzy time series model based on hedge algebra with a new formula for calculating forecasting values.

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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.

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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.

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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.

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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.

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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

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.

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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

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.

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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

This paper investigates the impact of word embedding techniques on enhancing SMS spam detection models. Traditional statistical methods (BoW, TF-IDF) are compared with advanced techniques (Word2Vec, fastText, GloVe, PhoBERT) using a proprietary dataset.

5p viengfa 28-10-2024 1 1   Download

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.

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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

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

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.

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Bài viết trình bày nhận xét giá trị tiên lượng của thang điểm MELD (mô hình bệnh gan giai đoạn cuối - Model for End-stage Liver Disease) /PELD (bệnh gan giai đoạn cuối ở trẻ em - Pediatric End-Stage Liver Disease) trong suy gan cấp (SGC) ở trẻ em tại Bệnh viện Nhi Trung ương.

4p vipanly 28-10-2024 2 1   Download

In this study, the author examined the SERVQUAL model's service quality evaluation elements involving customer satisfaction. More specifically, the hypothetical model was proposed to examine how each component of service quality affects customer satisfaction specifications.

8p viengfa 28-10-2024 1 1   Download

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