126 research outputs found
Music in the Festival of Vietnamese People (Thanh Hoa) - Issues
The article focuses on studying music in festivals of Vietnamese people in Thanh Hoa. Through the collected material, the authors have synthesized, explored the cultural aspects of the composition and analyzed the music. The result of the research is to find out the meaning of music in contributing to the festival\u27s appearance and to find out the operating rules and basic characteristics of music. From there, several discussions are given to preserve and promote music in the festival to achieve higher efficiency in life. The research results are the judgments about the culture and music constituting the overall festival, including (1) Meaning of festival organization; (2) Space and time of the festival; (3) Musical genres and performances in festivals; (4) Musical characteristics. The study also identifies appropriate research methods, and musical analysis techniques are also the basis for making objective judgments. This research will serve as the basis for the research, conservation, and promotion of folk music in larger and more comprehensive aspect
A STUDY OF INDONESIA’S STOCK MARKET: HOW PREDICTABLE IS IT?
Using monthly data from January 1995 to December 2017, this paper tests whetherIndonesian stock index returns are predictable. In particular, we use eight macrovariables to predict the Indonesian composite and six sectoral index returns using thefeasible generalized least squares estimator. Our results suggest that the Indonesianstock index returns are predictable. However, the predictability depends not only onthe macro predictor used but also on the indexes examined. Second, we find that themost popular predictor is the exchange rate, followed by the interest rate. Finally, ourmain findings hold for a number of robustness tests.Using monthly data from January 1995 to December 2017, this paper tests whetherIndonesian stock index returns are predictable. In particular, we use eight macrovariables to predict the Indonesian composite and six sectoral index returns using thefeasible generalized least squares estimator. Our results suggest that the Indonesianstock index returns are predictable. However, the predictability depends not only onthe macro predictor used but also on the indexes examined. Second, we find that themost popular predictor is the exchange rate, followed by the interest rate. Finally, ourmain findings hold for a number of robustness tests
Measuring citizen's satisfaction when using E-Government online public services: Lessons from Vietnam
This study aims to evaluate the factors affecting the satisfaction of citizen when using online public services through data collected from direct surveys of people. Research results show that Quality of online public services, Citizen's awareness, Privacy and security, Trust and accessibility affect citizen's satisfaction when using online public services. Based on these results, the study also gives some discussion and governance implications for researchers as well as policy-makers in improving citizen's satisfaction as well as attracting more users for online public services in Vietnam context
1M parameters are enough? A lightweight CNN-based model for medical image segmentation
Convolutional neural networks (CNNs) and Transformer-based models are being
widely applied in medical image segmentation thanks to their ability to extract
high-level features and capture important aspects of the image. However, there
is often a trade-off between the need for high accuracy and the desire for low
computational cost. A model with higher parameters can theoretically achieve
better performance but also result in more computational complexity and higher
memory usage, and thus is not practical to implement. In this paper, we look
for a lightweight U-Net-based model which can remain the same or even achieve
better performance, namely U-Lite. We design U-Lite based on the principle of
Depthwise Separable Convolution so that the model can both leverage the
strength of CNNs and reduce a remarkable number of computing parameters.
Specifically, we propose Axial Depthwise Convolutions with kernels 7x7 in both
the encoder and decoder to enlarge the model receptive field. To further
improve the performance, we use several Axial Dilated Depthwise Convolutions
with filters 3x3 for the bottleneck as one of our branches. Overall, U-Lite
contains only 878K parameters, 35 times less than the traditional U-Net, and
much more times less than other modern Transformer-based models. The proposed
model cuts down a large amount of computational complexity while attaining an
impressive performance on medical segmentation tasks compared to other
state-of-the-art architectures. The code will be available at:
https://github.com/duong-db/U-Lite.Comment: 6 pages, 7 figure
Preparation and characterization of magnesium hydroxyapatite coatings on 316L stainless steel
Magnesium hydroxyapatite coatings (MgHAp) were deposited on the surface of 316L stainless steel (316L SS) substrates by electrodeposition technique. Different concentrations of Mg2+ ion were incorporated into the apatite structure by adding Mg(NO3)2 into electrolyte solution containing 3×10-2 M Ca(NO3)2, 1.8×10-2 M NH4H2PO4 and 6×10-2 M NaNO3. With Mg2+ concentration 1×10-3 M, the obtained coatings have 0.2 wt% Mg2+. The influences of scanning potential ranges, scanning times to deposit MgHAp coatings were researched. The analytical results FTIR, SEM, X-ray, EDX, thickness and adhension strength showed that MgHAp coatings were single phase of HAp, fibrous shapes, thickness 8.1 µm and adhesion strength 7.20 MPa at the scanning potential ranges of 0÷-1.7 V/SCE and scanning times of 5 scans. Keywords. 316L SS, Electrodeposition, MgHAp
CDIO-based teaching at universities: A case study for students majoring in electrical and electronic engineering technology, Vietnam
In the 1980s of the twentieth century, universities in developed countries began to realize the growing gap between the capabilities of new graduate engineers and the actual requirements of engineering branches. The strong progress of technology requires engineers to have the intellectual abilities and necessary job-specific skills to master that progress. This paper focuses on Conceive, Design, Implement and Operate (CDIO) approach-based teaching for students majoring in electrical and electronic engineering technology at engineering universities in Vietnam to demonstrate the feasibility of the teaching model. The experimental method of synthesizing qualitative and quantitative results for 90 students in control and experimental classes was used. The experimental and control classes both had 45 students. SPSS software version 22 was used to gather data and evaluate the learning results of the two experimental and control groups. According to the findings of the T-test analysis of the independent variables for the two groups, the experimental class performed better in academics and had students in the experimental group who were more satisfied with their post-test scores. This result contributes to confirm that the use of the CDIO-based teaching model in Vietnam is effective for students majoring in electrical and electronic engineering technology
Two decades of studies on learning management system in higher education: A bibliometric analysis with Scopus database 2000-2020
Over the past twenty years, using learning management systems in higher education has attracted increasing interest from researchers around the globe. In this context, the current study aimed to explore the volume, growth trajectory, and geographic distribution of learning management systems in higher education literature, along with identifying impactful authors, sources, and publications, and highlight emerging research issues. The authors conducted bibliometric analysis on 1334 documents, related to the use of learning management systems in the context of higher education, extracted from Scopus database. The findings show a rapidly growing knowledge base on learning management systems in higher education, especially intensely in the years 2015-2020 and primarily from research in developed societies. This flourishing is consistent with the development trend of international education and the strong development of technology. In addition, the core literature was identified based on the volume of publications and citations. The results also reveal the emerging intellectual structure of the field and provide points of reference for scholars studying the discipline. This paper offers a knowledge map for future research assessments of learning management systems in higher education
Estimating Water Content and Grain Size of Intertidal Flat Sediments Using Visible to Shortwave-Infrared Reflectance and Sentinel 2A Data: A Case Study of the Red River Delta, Vietnam
Sediment properties such as water content (WC) and grain size (GS) are essential to characterize the environmental conditions of tidal flats. This article aimed to develop appropriate models to estimate the WC and GS of surface sediments for an intertidal flat on the Red river delta (Vietnam) using Sentinel 2A (S2A) images. The spectral reflectance, WC, and GS of 96 sub-samples from 12 sediment samples collected on December 17, 2017 were measured to clarify their relationships. The WC was highly correlated with the reflectance ratio of two shortwave-infrared bands, R(2190)/R(1610) (R² = 0.93). The median GS (D₅₀) at 0%, 15%, and 20% of WC was significantly correlated with the reflectance ratio of the near-infrared band (842 nm) versus the visible-green band (560 nm) (R² > 0.78). Next, D₅₀ was estimated from a multivariate regression model using this band ratio, the visible-red band (665 nm), and WC. The accuracy of the models was verified by comparisons with WC and D₅₀ from 20 samples collected on March 12th 2019 (RMSE of both WC and D₅₀ 30%) in very fine sediments (silts), which is consistent with other intertidal flats with similar sediment types. This article was limited to fine sediment samples. Therefore, our next step is to incorporate coarse sediments into the models to provide more universal mapping of WC and sediment types
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