Wavelet-Based Kernel Construction for Heart Disease Classification

© 2019 ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERINGHeart disease classification plays an important role in clinical diagnoses. The performance improvement of an Electrocardiogram classifier is therefore of great relevance, but it is a challenging task too. This paper proposes a novel classification algorithm using the kernel method. A kernel is constructed based on wavelet coefficients of heartbeat signals for a classifier with high performance. In particular, a wavelet packet decomposition algorithm is applied to heartbeat signals to obtain the Approximation and Detail coefficients, which are used to calculate the parameters of the kernel. A principal component analysis algorithm with the wavelet-based kernel is employed to choose the main features of the heartbeat signals for the input of the classifier. In addition, a neural network with three hidden layers in the classifier is utilized for classifying five types of heart disease. The electrocardiogram signals in nine patients obtained from the MIT-BIH database are used to test the proposed classifier. In order to evaluate the performance of the classifier, a multi-class confusion matrix is applied to produce the performance indexes, including the Accuracy, Recall, Precision, and F1 score. The experimental results show that the proposed method gives good results for the classification of the five mentioned types of heart disease.Peer reviewedFinal Published versio

Dollarization in Viet Nam

The paper maps the dollarization process in Vietnam since the beginning 1990s. We analyze the pros and cons of complete currency substitution. We discuss different forms and degrees of dollarization, and why some countries dollarized and others not. Further, the paper analyzes the case of partial dollarization, its implied risks for financial sector stability and the underlying dynamics of dollarization. Finally, we describe ways to reverse dollarization. The main conclusions are that dollarization is not a viable exchange rate regime option for Vietnam; furthermore, the current status of a partly dollarized economy poses considerable risks for financial sector stability and makes the country prone to exogenous shocks. The recent dollarization of banks’ loan portfolio has considerably increased systemic risk. The foreseeable opening of the Vietnamese economy will significantly increase the risks related to dollarization.

STUDY ON ANTIBACTERIAL EFFECTS OF SEVERAL VIETNAMESE MEDICINE PLANTS AND THEIR RELATIONSHIPS WITH POLYPHENOL CONTENTS

Objective: Our study evaluated the inhibitory effects of 13 plant materials on bacterial growth, so as to explain their traditional uses in bacterial infections. In addition, the correlation between antibacterial effects of plants and the polyphenol contents or antioxidant activities was also verified to investigate if these properties were responsible for the plant antibacterial effects. Methods: We tested extracts with 20 bacterial strains purchased from Japan Veterinary Products Association (JVPA, Tokyo, Japan) and also the Escherichia coli (E. coli) and Streptococcus suis (S. suis) strains that we had previously isolated from livestock. After polyphenol contents and antioxidant activities were measured, we examined their correlations with antibacterial effects. Results: The results showed that all extracts exerted inhibitory effects on tested bacteria and at different levels. Among all of samples, betel and mother rhizome of turmeric showed the strongest effects and also exerted inhibition on antibiotic-resistant E. coli and S. suis bacteria. In addition, direct and significant correlations between antibacterial effects’ and polyphenol content’s values were established and thus demonstrating that antibacterial effects of plants were attributable, at least in part, to the presence of polyphenol compounds. Conclusions: Our study demonstrated the antibacterial effects of 13 plant materials and, therefore, partly gives pharmacological basis to explain their traditional uses in diseases associated with bacterial infections. In addition, as betel and mother rhizome of turmeric showed the highest effects, we suggested that they might serve as the most promissory candidates for bacterial treatment. However, follow-up researches are still required to assess their potentials

Digital Transformation: Smart Strategy in Administrative Reform in Vietnam

Objectives: Digital transformation is becoming such a big trend that countries worldwide cannot resist because it brings prosperity and development to social progress. Therefore, countries, especially emerging countries, need to quickly bring the latest technological advances into socio-economic development. Therefore, the purpose of the article is to point out the theoretical issues of digital transformation, the advantages and challenges, and their impact on Vietnam's provincial administrative reform, and forecast the trend of the impacts of digital transformation on administrative reform at the provincial level. Methods/Analysis: Qualitative and quantitative research methods have been used together, in which quantitative methods use available literature sources. The qualitative method has been developed based on designing two questionnaires on digital transformation and administrative reform, thereby exploring the current results of digital transformation and administrative reform in a cross-section. Findings: Research has shown that the reality of digital transformation and administrative reform in provincial administrative agencies in Vietnam is still limited. Although administrative reform is superior to digital transformation, they are closely related in positive ways. Novelty /Improvement: Research shows that administrative reform at the provincial level in Vietnam will become more competent and more efficient when administrative agencies promote the application of digital transformation; both digital transformation and administrative reform need to be concerned at the same time. Besides, a more focus on developing digital capacity and skills for civil servants is necessary for digital transformation and administrative reform to achieve high efficiency. Doi: 10.28991/HIJ-2021-02-04-06 Full Text: PD

水田土壌の性質とセシウムの米への移行

内容の要約広島大学(Hiroshima University)博士(理学)Doctor of Sciencedoctora

Examining the relationships between socio-scientific reasoning, content knowledge, and personal interest

Includes vita.Socio-Scientific Issues (SSI) appear to be a viable means for promoting students' development of science literacy, providing relevance to scientific concepts for students to apply their understandings and make sense of science-related issues. However, the question remains as to how their reasoning competencies regarding these issues interact with their content knowledge and personal interest. The purpose of this study is to explore and examine the relationships among Socio-Scientific Reasoning (SSR) competencies and between SSR and Content Knowledge and Personal Interest of students as they engage in a series of SSI. A total of one hundred and thirty students completed three sets of Quantitative Assessments of SSR (QuASSR), personal interest surveys and summative science unit tests. Correlation analysis and Structural Equation Modeling (SEM) were used to elucidate relationships between SSR and Content Knowledge and Personal Interest across three SSI scenarios. The results of the analysis revealed that students' SSR competencies varied across three different SSI scenarios. Students showed greater their SSR competencies in the Vaccinations scenario than in the Global Warming and Genetically Modified Organisms scenarios. The analysis also revealed that SSR competencies have interactions with cognitive and affective domains, in which lower-order Content Knowledge and Personal Interest have a significant impact. Particularly, the level of Personal Interest in each SSI might have a large effect on the increasing level of SSR. This study highlights that SSR is a dynamic multi-dimensional construct and influenced by Content Knowledge and Personal Interest across three different SSI contexts. These findings have implications for science teachers when they want to develop meaningful SSI scenarios to support SSR development and to integrate SSI into a science course with diverse topics. In addition, the SSR conceptual framework employed and findings in this study would be helpful for science education researchers who want to find a better way to support students’ success in scientific literacy. Limitations of this study and recommendations for future research are also discussed in this dissertation.Includes bibliographical references (pages 122-136

Optimization of technological parameters in ultrasonic welding of the polypropylene fabric using Taguchi and FCCCD methods

Ultrasonic welding is a welding method that has been applied for welding nonwoven fabrics, with many advantages such as fast speed, high reliability, easy automation and especially less pollution to the environment. This paper studies the optimization of technological parameters in the welding process such as welding time, pressure, and weld shape on the breaking strength of ultrasonic welding of Polypropylene (PP) nonwovens. To evaluate the influence level and find the reasonable technological parameters domain in the paper, the Taguchi method is used in combination with the face-centered central composite design (FCCCD) response surface method. The research results have determined the regression equations used to calculate the breaking strength for each weld shape as well as the optimal domain for the main technological parameters, ensuring the breaking strength of the weld. There are different degrees of influence of technological parameters (shape of the weld zone, welding time and welding pressure) on the breaking strength of ultrasonic welds. Among them, the influence level of welding time t is 45.31 %, the weld shape is Pattern 2 with the rate of 30.03 %, and the welding pressure is 24.66 %. Carrying out a verification test with the welding parameters: t=1.6 s, p=3.1 kgf/cm2, two patterns ( Pattern 2 and Pattern 3), the result of breaking strength for patterns was achieved. Pattern 2 has a difference of 1.19 % between the regression equation results and the actual experimental results, while the figure for Pattern 3 is 0.77 %. From these results, it is possible to select the appropriate technological parameters for ultrasonic welding equipment when processing products from nonwoven fabrics to ensure the highest quality and productivit

R PEAK DETERMINATION USING A WDFR ALGORITHM AND ADAPTIVE THRESHOLD

The determination of the R peak position in the ECG signal helps physicians not only to know the heart rate per minute, but also to monitor the patient’s health related to heart disease. This paper proposes a system to accurately determine the R peak position in the ECG signal. The system consists of a pre-processing block for filtering out noise using a WDFR algorithm and highlighting the amplitude of the R peak and a threshold value is calculated for determining the R peak. In this research, the MIT-BIH ECG dataset with 48 records are used for evaluation of the system. The results of the SEN, +P, DER and ACC parameters related to the system quality are 99.70%, 99.59%, 0.70% and 99.31%, respectively. The obtained performance of the proposed R peak position determination system is very high and can be applied to determine the R peak of the ECG signal measuring devices in practice