• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.247-253
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• 2021

There are various programming errors that occur in the course of programming practice for beginners in computer programming. At this time, since it is difficult for learners to recognize errors by themselves, they correct program errors through the instructor's feedback. However, as students learn programming techniques in an online learning environment due to the COVID-19 pandemic, there is a limit to interaction between the students and the instructor in comparison with offline classes, so it is necessary for learners to develop their own ability to solve programming errors by themselves. Therefore, in this study, error cases in online programming classes using the Python language are analyzed and an online programming education method that can improve learners' ability to correct programming errors is proposed based on the analysis results.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.199-208
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• 2022

The world health organization classified the emerging coronavirus (known as Covid-19) as a pandemic after confirming the extent of spread and scale. As a matter of fact, outbreaks of similar scale or even worse have been witnessed throughout history. Thus, the development of prevention strategies exists to protect against such calamaties. One of the widely proven measures that controls the spread of any contagious diseases is social distancing. As a result, this paper will demonstrate the concept of an application "Be Aware" on enabling the implementation of this preventive measure. In particular "Be aware" evaluates the extent of congestion in public places using current time data. The proposed project will use Global Positioning System (GPS), and Application Programming Interface (API), to ensure information accuracy, and the API use Crowdsourcing to collect Real-Time Data (RTD) from the selected places. One line

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.269-275
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• 2022

Public healthcare has recently become an issue of great importance due to the exponential growth in the human population, the increase in medical expenses, and the COVID-19 pandemic. Speed is one of the crucial factors in saving life, particularly in case of heart attack. Therefore, a healthcare device is needed to continuously monitor and follow up heart health conditions remotely without the need for the patient to attend a medical center. Therefore, this paper proposes a portable electrocardiogram (ECG) monitoring system to improve healthcare for heart attack patients in both home and ambulance settings. The proposed system receives the ECG signals of the patient and sends the ECG values to a MySQL database on the IoT-cloud via Wi-Fi. The signals are displayed as an ECG data chart on a webpage that can be accessed by the patient's doctor based on the HTTP protocol that is employed in the IoT-cloud. The proposed system detects the ECG data of the patient to calculate the total number of heartbeats, number of normal heartbeats, and the number of abnormal heartbeats, which can help the doctor to evaluate the health status of the patient and decide on a suitable medical intervention. This system therefore has the potential to save time and life, but also cost. This paper highlights the five main advantages of the proposed ECG monitoring system and makes some recommendations to develop the system further.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.25 no.1
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• pp.13-20
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• 2022

Purpose: Hydrogen-methane breath tests are used to diagnose carbohydrate malabsorption and small intestinal bacterial overgrowth. The COVID-19 pandemic has driven the modification of procedures as breath tests are potentially aerosol-generating procedures. We assessed the effect of delayed analysis of breath samples, facilitating the at-home performance of breath testing. Methods: Children provided two breath samples at every step of the lactose breath test. The samples were brought back to the clinic, and one set of samples was analyzed immediately. The second set was stored at room temperature and analyzed 1-4 days later. Results: Out of the 73 "double" lactose breath tests performed at home, 33 (45.8%) were positive. The second samples were analyzed 20 to 117 hours after the first samples (41.7±24.3 hours). There was no significant difference in the hydrogen concentration between the first and second sets (Z=0.49, p=0.62). This was not the case for methane, which had a significantly higher concentration in the second breath samples (Z=7.6). Conclusion: Expired hydrogen levels remain stable in plastic syringes if preserved at room temperature for several days. On the other hand, the delayed analysis of methane appeared to be less reliable. Further research is needed to examine the impact of delayed analysis on methane and hydrogen concentrations.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.6
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• pp.343-362
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• 2022

Amidst the Covid-19 pandemic, human resources play a vital role in the health industry because the staff all has to confront a lot of stresses in serving the country and the people to overcome the severe contagiousness and infection of the virus. It is also the case of Family General Hospital, Da Nang (Vietnam). Therefore, the Hospital identifies talented personnel as a core resource in its sustainable development strategy. Researching on how to retain talented staff to serve the sustainable and long-term development of a private hospital such as Family Hospital is extremely necessary, especially when there are fewer large and modern private health facilities for the healthcare system in Central Vietnam compared to the North and the South. With the analysis of survey data and in-depth interviews from both qualitative and quantitative perspectives (via SPSS 20.0), especially the ANOVA and EFA analyses, and linear multiple regression (Generation 1 methods), this study aims to clarify the aspects that affect the talent retention in the representative Family Hospital. The lessons learned have been a good reference for similar private healthcare models in the process of bringing health-related services to a new level in the competition.

• Journal of Public Diplomacy
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• v.1 no.2
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• pp.27-48
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• 2021

Remarkably, despite the growing frequency and severity of global problems such as climate change, earthquakes and health pandemics, public diplomacy has remained largely focused on the goals of state actors and threats from other actors. The Covid-19 pandemic exposed the consequences of focusing on individual actors of public diplomacy, including their competitive quest for soft power, over the more pressing needs of humanity and public diplomacy's global mandate. The aim of this piece is to expand the vision of soft power from a competitive state-centric perspective to a broader and more collaborative, humanity-centered perspective. Although public diplomacy's link to power may appear recent and linked to Nye's (2004) concept of soft power, research suggests that it may stem from the traditional diplomacy's "diplomacy of imperialism" (Langer, 1935) that immediately preceded public diplomacy's rise. While this diplomatic heritage may currently dominate public diplomacy perspectives, humankind's global heritages and evolutionary capacity for cooperation suggest another vision is possible. The paper draws upon Alexander Vuving's (2009) explanation of how soft power works in a comparative analysis with Nye's original works to sketch out a new humanity-centered perspective of soft power. The paper concludes with implications of a humanity-centered perspective of soft power for public diplomacy's global mandate.

• Journal of Home Health Care Nursing
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• v.29 no.1
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• pp.93-104
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• 2022

Purpose: To explore the lived experience of home health nurses' role conflicts and the associated meaning of those as perceived by the home health nurses. Methods: This qualitative study was conducted between November 2021 and January 2022 among five home health nurses who were recruited. Data were collected through in-depth interviews and inductively analyzed using Colaizzi's descriptive phenomenological inquiry. Results: The participants' lived experience of role conflicts were grouped into four main categories, namely role conflicts due to shortage of qualified home health nurses, role conflicts exacerbated by the COVID-19 pandemic, interpersonal relationship conflicts, and conflicts with existing systems and their solutions. Conclusion: Knowledge developed from the experiences of the participants indicated various role conflicts, both interpersonal and systematical, while they recognized the significance of their role as the home health nurses. In the future, support systems should be established at the organizational and systematical levels to ensure a better workforce environment for home health nurses.

• Journal of Information Technology Services
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• v.20 no.5
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• pp.105-118
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• 2021

As we enter the era of the 4th industrial revolution, information and communication technologies, including artificial intelligence and big data, are converging throughout society. Especially, as the importance of the social foundation of hyper-connection grows, the social influence of IoT, a network of connecting objects, people, and various entities, is also gradually expanding. In addition, as a pandemic, COVID-19, continues, interests in untact-oriented technology and service development are growing more than ever, and each company is trying to establish a core competency strategy to gain an edge in competition in the changing society. This study is a case study centered on Dawon DNS, a company that provides an IoT-based AI smart plug platform. Dawon DNS is broadening its services while developing products by applying advanced technologies, and this study is aiming to investigate the core competencies of the business evolution process. The obtained result of this study will provide implications for companies to become more competitive by suggesting the attitudes and strategies that startups should have during the transforming business environment.

• Journal of Information Technology Services
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• v.20 no.5
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• pp.43-54
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• 2021

Currently, citizens' expectations and concerns on utilizing artificial intelligence (AI) technologies in the public sector are widening with the rapid digital transformation. Furthermore the level of global acceptance on the AI and other intelligent digital technologies is augmenting with the needs of non-face-to-face types of public services more than ever due to the unforeseen and unpredictable pandemic, COVID-19. Thus, this study intended to empirically examine what policy directions for the public should be considered to provide well-designed services as well as to promote the evidence-based public policies in terms of Al speaker technology as a non-contact smart city service. Based on the survey of senior citizens' perceptions on AI (AI Speaker technology), this study conducted structure equation modeling analyses to identify whether technology acceptance models on to the varied dependent variables such as actual use, perception, attitude, and brand royalty. The Results of the empirical analyses showed that AI increased the positive level of citizens' perception, attitude and brand royalty on non-contact public services (smart city services) which are becoming more crucial for developing AI oriented government and providing intelligent public services effectively. In addition, theoretical and practical implications are discussed for understanding the changes of public service in the post-corona.

• Journal of Korea Multimedia Society
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• v.25 no.6
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• pp.852-865
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• 2022

During the COVID-19 pandemic, games played an important role in people's lives. Numerous online users flocked to the game platform, and brand companies started using online games to promote their products. Medical institutions have also implemented policies for healthy physical activity through online games. In order to attract more global game users, research on immersion in games is also very important to prevent users from leaving the platform. Therefore, it is necessary to analyze the common immersion elements of popular games by country and study them from the perspective of changing devices. In this paper, representative popular games of Korea, China, and Japan, which are recently called the dark horse of the game industry, are classified by devices of mobile, online PCs, and VR games and analyzed using immersion analysis tools proposed by researcher. Next, the representative metaverse games of the Web 3.0 era were analyzed, and their characteristics were compared with the results of the immersion analysis between Korea, China, and Japan, and proposed as game immersion elements suitable for metabus games.