Phan Boi Chau's Patriotic Thought

Phan Boi Chau (1867 -1940) was a well-known patriot, intellectual, revolutionary, writer, poet, and educator. Phan Boi Chau's patriotic thought combines viewpoints on national liberation and country development from the East and the West with the unique cultural tradition of the Vietnamese people's valiant battles and sacrifices against invaders in order to address historical and social issues. His patriotic beliefs are deep and profound in many ways, and in addition to sharing some historical traits, they also have unique qualities that capture the essence of the era.Phan Boi Chau (1867 -1940) foi um conhecido patriota, intelectual, revolucionário, escritor, poeta e educador. O pensamento patriótico de Phan Boi Chau combina pontos de vista sobre a libertação nacional e o desenvolvimento do país do Oriente e do Ocidente com a tradição cultural única das valentes batalhas e sacrifícios do povo vietnamita contra os invasores, a fim de abordar questões históricas e sociais. Suas crenças patrióticas são profundas e profundas em muitos aspectos e, além de compartilharem alguns traços históricos, também possuem qualidades únicas que captam a essência da época

Factors Affecting Credit Access of Individual Business Households in ho chi Minh City, Vietnam

Purpose: The study studies the factors affecting access to credit of individual business households in Ho Chi Minh City (HCMC), Vietnam. The authors proposed policy implications based on research results that improve access to credit for individual business households.   Theoretical framework: Access to formal credit can be understood in many ways. This article considers that access to proper credit is the ability of a customer to use the capital of a traditional credit institution based on meeting financial obligations - emphasizing the ability to repay both principal and interest.   Design/methodology/approach: The authors chose a mixed method to conduct the study. This is a suitable research method to answer the research questions raised. Mixed methods include both qualitative and quantitative methods. However, this combination is the implementation of interlacing, replacing the two approaches to solve each problem, the research design's specific goal. The authors analyzed Data from May 2022 to December 2022 in HCMC based on the EFA and CFA, using the structural equation model analysis (SEM) method with SPSS 20.0 software and Amos.   Findings: The article's findings showed five factors affecting access to credit of individual business households in HCMC, Vietnam. In particular, the loan procedure factor substantially impacts the five factors affecting credit access.   Research, Practical & Social implications: The study has provided empirical evidence on the factors affecting formal credit access by a linear structural model and provides evidence that factors such as the loan procedure affect traditional credit affecting access to credit.   Originality/value: The authors give some policy implications for state management agencies, credit institutions, customers, and mass organizations, such as increasing the role of local Government and increasing the ability to use banks, E-commerce, design new loan products to help individual business households access more formal capital, and at the same time, reduce black credit

NOVEL OPTIMAL COORDINATED VOLTAGE CONTROL FOR DISTRIBUTION NETWORKS USING DIFFERENTIAL EVOLUTION TECHNIQUE

This paper investigates a Distributed Generators (DG) connected to distribution networks offer multiple benefits for power networks and environments in the case of renewable sources. Nevertheless, if there is not an appropriate planning and control strategy, several issues, such as voltage rise problems and increased power losses, may happen. In order to overcome such disadvantages, in this paper, a coordinated voltage control method for distribution networks with multiple distributed generators is proposed. This method is based on a differential evolution DE approach to obtain the optimal setting points for each control component. Furthermore this proposed method considers both of time-varying load demand and production, leading to not only an improvement in the voltage profile but also to optimally minimize the active power loss

Hilbert coefficients of ideals under perturbation of an ideal

Let (R, m) be a noetherian local ring, J an m-primary ideal of R andI = (f1, ..., fr) an ideal generated by a filter regular sequence f1, ..., fr of R. In thispaper, we will prove the preserve of Hilbert coefficients of R/I with respect to Junder J-adic perturbation of I, provided that J is a parameter ideal generated by ad-sequence of R/(f1, ..., fi) for i = 1, ..., r.

Development of Technologies for Active Wavefront Control of Advanced Gravitational Wave Detectors

The era of gravitational-wave astronomy started with the detection of a binary black hole coalescence on the 14th of September 2015 by the Advanced Laser Interferometer Gravitational-wave Observatory (aLIGO). By the end of 2017, a total number of 11 gravitational wave events have been detected by LIGO and Virgo detectors. One of these events, GW17081, produced by the coalescence of a binary neutron star signaled the dawn of multi-messenger gravitational astronomy, revealing invaluable information about the physics occurring in such cataclysmic event. The work presented in this thesis is part of the ongoing global effort to improve the sensitivity of current detectors and thus improve both the detection rates and the information that can be gleaned from each detection. The sensitivity of terrestrial interferometric detectors are broadly limited by coating thermal noise and quantum noise. Increasing the circulating laser power and injecting vacuum-squeezed light are employed to reduce the quantum noise. However, the ability to implement these measures and their efficacy is fundamentally limited by absorption-induced wavefront distortion within the interferometer. At the time of writing this thesis, aLIGO detectors are struggling to increase the input power above approximately 30 W and the current observed level of squeezing at aLIGO Livingston and Hanford Observatories are 3dB and 2.2 dB respectively, partly due to wavefront mismatch. New technologies are urgently required to diagnose these issues. In this thesis, I will will describe the development of a new technologies for the solution of this problem: an advanced “phase camera” that can examine individual RF sideband fields used to control and sense the interferometer and new adaptive optics for active wavefront control and mode-matching within the interferometer. The new phase camera measures the complex amplitude of a coherent field that is frequency-offset from a reference field, and records the transverse profile with high spatial and temporal resolution. Furthermore, it does so without the use of scanning mirrors and thus is suitable for use during both detector commissioning and low-noise operation. This thesis also describes the development of new thermally-actuated mirrors for adaptive wavefront control and mode matching in aLIGO. The two designs presented are the thermal-bimorph mirror and the compression-fit mirror. Both of which show a large and linear actuation range, and low higher-order aberrations. They are currently scheduled for deployment to assist with mode matching between the squeezed light source and the signal recycling cavity of aLIGO and can be extended to other optical interfaces during the detectors A+ upgrade.Thesis (Ph.D.) -- University of Adelaide, School of Physical Sciences, 201

Patient satisfaction with health care services at a National Institute of Ophthalmology

Little is known about how patients in developing countries, such as Vietnam, are satisfied with eye care services. The purpose of this study was to assess the satisfaction with health services and its associated factors among patients attending a national institute of ophthalmology in Vietnam. In a cross-sectional study utilizing quantitative methods, 500 inpatients and their relatives attending a national institute of ophthalmology in Vietnam were approached for data collection. The results indicated that under 50% of the patients were satisfied with eye care services. However, when classified by level of satisfaction, only 6.8% were very satisfied with all domains of care. There was no significant difference in satisfaction by gender and income, while significant differences by department, residence, and education were found. Patients who were from rural areas, were better educated, and used the services of the glaucoma department, were more satisfied with eye care than those from urban areas, were less educated, and used the services of treatment-on-demand department. Multivariable regression detected 2 main factors, gender and location, associated with patient satisfaction. Patients who were female and came from rural and remote areas were more likely to be satisfied than patients who were male and living in urban areas. The study suggests that to continue to improve health care quality, it is important to eliminate differences in providing eye care services regardless of whether patients are male or female, and whether they come from a rural or urban area. Copyright © 2017 John Wiley & Sons, Ltd

The roles of, activities of, and competencies for, community nursing services in rural Vietnam: Implications for policy decisions

Community health workforce plays a vital role in providing primary health care services as per the needs of residents; however, few studies have examined how nurses work within commune health centers (CHCs). Using qualitative methods including interviews and focus group discussions with key stakeholders, this study explores the roles, activities, and competencies required of community nursing services in rural districts within Vietnam. Two primary roles were identified: CHC nursing and family nursing. For the latter, in addition to providing people with general health care and health communication, they were expected to also deliver psychological care. CHC nursing fulfilled more roles and required four specific competencies: clinical care, communication, management, and planning/coordination activities. Despite these various roles serving people within a community, few ongoing efforts at either the local or national level are aimed at supporting these nurses. The study highlights the need for policy decisions via either developing a new job position policy or adapting the existing policy by integrating new roles into the existing positions of CHC nurses in Vietnam. © 2018 John Wiley & Sons, Ltd. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Nguyen Huy" is provided in this record*

APPLYING HO CHI MINH’S THOUGHTS ON DEVELOPING THE ETHNIC MINORITY STAFF IN MOUNTAINOUS AREA OF NORTH CENTRAL PROVINCES, VIETNAM

Throughout his revolutionary career, President Ho Chi Minh always paid particular attention to ethnic minorities and mountainous areas, and he especially emphasized the development of people's ethnic minorities. In the substantial transformation of the world and the country, in the mountainous regions of the North Central provinces of Vietnam, the issue of developing ethnic minority cadres has always been thoroughly grasped by Ho Chi Minh's ideology in the process of implementing the strategy of great national unity, especially in the North Central provinces of Vietnam, focuses on developing ethnic minority officials to promote socio-economic development in ethnic minority areas ethnic minorities and the mountainous regions during the period of promoting industrialization and modernization.  Article visualizations

IncepSE: Leveraging InceptionTime's performance with Squeeze and Excitation mechanism in ECG analysis

Our study focuses on the potential for modifications of Inception-like architecture within the electrocardiogram (ECG) domain. To this end, we introduce IncepSE, a novel network characterized by strategic architectural incorporation that leverages the strengths of both InceptionTime and channel attention mechanisms. Furthermore, we propose a training setup that employs stabilization techniques that are aimed at tackling the formidable challenges of severe imbalance dataset PTB-XL and gradient corruption. By this means, we manage to set a new height for deep learning model in a supervised learning manner across the majority of tasks. Our model consistently surpasses InceptionTime by substantial margins compared to other state-of-the-arts in this domain, noticeably 0.013 AUROC score improvement in the "all" task, while also mitigating the inherent dataset fluctuations during training