
Data model
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The study aims to identify factors affecting financial sustainability in community tourism development in the Northwest region. Survey data were collected from 135 tourism business households and individuals with direct and indirect income from tourism activities in the community tourism village in the Northwest region.
12p
viaburame
14-03-2025
1
1
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This research presents an exploratory investigation of sales agents of international insurance firms in Hanoi, aiming to understand the connection between the Uncertainty Avoidance (UA), as discussed by Hofstede (2024), and the digital divide identified by Jan van Dijk (2020). The survey using Google Form was administered to 246 Vietnamese sales agents to collect data for SPSS analysis. The AMOS path diagram was then employed to test the hypotheses based on the conceptual model. The findings indicate that Uncertainty Avoidance negatively impacts the digital divide.
12p
tuongmotranh
18-03-2025
3
1
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The study attempts to explore economic, financial, and institutional developmental factors that contribute to the growth of the size of corporate bond markets by using the data set from ten Asian economies (China; Hong Kong, Indonesia; Japan; Korea; Malaysia; the Philippines; Singapore; Thailand; and Vietnam). The empirical findings by generalized least squares model show that the level of economic development as shown by GDP per capita is one of the most important factors in the development of corporate bond markets.
9p
tuongmotranh
18-03-2025
8
1
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The paper builds a computational model of a multisubcarrier free space optic, a variant of the Subcarrier Intensity Modulation Free Space Optic (SIM-FSO), establishes algorithmic flowcharts, writes a computational program to investigate the system performance under various modulation methods, air turbulence levels and different numbers of subcarriers and data rates.
6p
viaburame
14-03-2025
6
1
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This paper presents optimization results of the Al6061 surface roughness in turning ultra-precision based on the central composite design method (CCD) and the grey wolf optimization algorithm (GWO). The experimental matrix is built with three independent variables including spindle speed, feed rate and depth of cut. With the experimental data, the roughness regression model is established.
7p
viaburame
14-03-2025
3
1
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One-loop contributions to the decay process \(H \to Z*\gamma \to {v_e}{v_e} \gamma \) in standard model are performed in the paper "One-loop contributions to in standard model \(H \to Z*\gamma \to {v_e}{v_e} \gamma \)". The detailed computations are carried out in unitary gauge. In physical results, we present numerical results for partial decay width and its distribution. We find that the partial decay width is given to 0.466 KeV. This result is in the upper bound of the current experimental data at the Large Hadron Collider.
9p
xuanphongdacy09
29-09-2024
4
2
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The basic characteristics of sensor were investigated, and these experimental data were used for a machine learning. The results of the model validation proved to be a reliable way between the experiment and prediction values.
10p
viengfa
28-10-2024
3
2
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The study investigated the relationship between service quality, brand image, satisfaction, and consumers’ continuous purchase intention. We collected research data from 258 consumers who bought goods at supermarkets in Tra Vinh City.
12p
vifilm
11-10-2024
3
1
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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).
16p
viengfa
28-10-2024
2
1
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This study measured production efficiency considering environmental factors (environmental efficiency) to assess the sustainability of pig farms in the district. This study used the data envelopment analysis (DEA) model with undesirable output (COD emissions) to measure environmental efficiency in pig production.
12p
vibecca
01-10-2024
3
2
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This study explored the factors affecting members’ satisfaction with the quality of support activities of cooperatives using data collected from 301 members of horticultural cooperatives in Son La province. The study applied the SEVERQUAL concept and cooperative principles to develop the research model.
14p
vibecca
01-10-2024
2
1
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To achieve this objective, a survey was conducted among 1020 respondents with varying genders, and educational levels in Ho Chi Minh City. The collected data was analyzed sing SPSS and AMOS software, enabling the development of a structural model.
13p
viinuzuka
28-02-2025
5
1
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This paper also discusses practical applications of object detection in satellite images, including environmental monitoring, resource management, and disaster response. Finally, the paper suggests potential future research directions, such as developing more efficient models, handling small objects, and leveraging diverse data sources.
9p
vihyuga
20-02-2025
3
1
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This paper demonstrates that, using multiple data points around each gateway allows for the creation of accurate coverage heat maps by using a proposed LoRaWAN coverage estimation algorithm. This method effectively identifies areas with varying signal strength across Da Nang City, highlighting where additional gateways are needed to improve network reliability.
6p
vihyuga
20-02-2025
15
1
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Recently, machine learning (ML) algorithms have proven to be highly effective tools for predicting structural damage. However, the data used in structural health monitoring often consists primarily of normal operational conditions or slight deviations from the original state, with a scarcity of data representing potentially dangerous conditions.
21p
viyamanaka
06-02-2025
1
1
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This article presents a semisupervised fuzzy c-means clustering algorithm based on the collaborative clustering model (CSFCM) on distributed systems applied to the problem of land cover classification from remote sensing data.
14p
viyamanaka
06-02-2025
1
1
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The paper describes a new architecture for 3D visualization service, made to convert 2D CAD data into comprehensive 3D models. It is created with focus on multi-device environments in industrial uses.
8p
viyamanaka
06-02-2025
3
2
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This article constructs a convolutional neural network for predicting pressure and velocity fields around a twodimensional aircraft wing model (airfoil model). Training data is computed using the Reynolds-averaged method, and then extracted, focusing on the flow around the wing.
11p
viyamanaka
06-02-2025
3
2
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This study will provide evidence to help banks better understand the factors affecting profitability, thereby proposing solutions to improve operational efficiency and ensure sustainable development. To achieve this goal, the study uses a panel data regression model with data from the financial statements of Vietnamese commercial banks listed on the stock exchange from 2015 to 2022.
11p
viyamanaka
06-02-2025
3
2
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This paper presents a novel approach to enhancing the accuracy of precipitation estimation in Central Vietnam using the Extreme Gradient Boosting (XGBoost) machine learning model. The proposed method integrates multi-source data, combining satellite imagery from Himawari-8, atmospheric reanalysis from ERA-5, and digital elevation models from ASTER DEM to train the model.
9p
tuetuebinhan000
23-01-2025
1
1
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