• Journal of Life Science
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• v.33 no.5
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• pp.436-444
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• 2023

Scientific training, diet, and ergogenic aids are widely used to overcome the limits of humans' physical abilities and to achieve excellent sports records. The adoption of nutritional strategies is important for athletes to perform at their highest level, and one of the main factors determining endurance ability is increased fat metabolism. A ketogenic diet (high fat, low carbohydrates) has thus been proposed as an alternative strategy to maximize fatty acid oxidation during prolonged periods of exercise. However, studies have shown mixed results regarding the ergogenic value of a ketogenic diet. For this reason, exogenous ketone supplements (EKS, ingestible forms of ketone bodies, ketone esters, and/or salts) have been suggested to obtain nutritional ketosis, an acute transient increase in circulating acetoacetate (AcAc) and b-hydroxybutyrate (bHB) concentrations, without limiting carbohydrate intake. Some studies have suggested the beneficial effects of EKS on the performance of endurance exercises by providing an additional fuel substrate for peripheral tissues, such as cardiac and skeletal muscles, sparing carbohydrates/increasing fat oxidation and post-exercise recovery by increasing glycogen resynthesis in the liver/muscle, attenuating protein degradation, stimulating protein synthesis in the skeletal muscle, etc. However, many studies have failed to observe the beneficial effects of EKS as an ergogenic aid. As such, this review summarizes the theoretical basis of, as well as the proposed and proven effects of EKS on exercise performance and recovery to date.

• Design Convergence Study
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• v.15 no.2
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• pp.37-52
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• 2016

The purpose of this study is to suggest functional priority to increase probability to be adopted by single-person household by designating single-person household as potential early adopter of smart home service. Smart home service is spread slowly for its value. This study applied diffusion of innovations theory to solve this problem. Single-person household who has no other family member who can take care of household is chosen as potential early adopter. This study tried to find grounds of functional priorities through an online survey. The survey questionnaires were composed as following. First, representative attributes of single- person household were reviewed, then measuring questions according to the attributes were recomposed based upon preceding study. After that, concept and status of smart home service were reviewed. and smart home service functions to be measured in this study were selected through analysis based upon representative cases, then Measuring questionnaire were made were three factors which chosen by referring to preceding study about perceived attributes of innovations applied to selected functions. As a result of analyzed 62 responses, except excluded functions which has perceived any special value, set priorites with 9 functions. These functional priorities obtained from these studies will play a role as fundamental data to provide valuable service to single-person household and have a meaning as a starting point to increase rate of adoption for smart home service.

• Journal of Korea Port Economic Association
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• v.39 no.2
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• pp.143-163
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• 2023

This study aims to analyze the impact of ESG activities on the corporate performance of logistics companies in Korea. To achieve this, the study examines the factors influencing the adoption and implementation of ESG activities, assesses the extent to which ESG activities enhance corporate trust and image, and empirically analyzes the effect of ESG implementation on the corporate performance of logistics companies. An online survey was conducted using Google Forms for Korean logistics companies, and a total of 463 data sets were utilized for PLS structural equation analysis using the SmartPLS 4.0 software tools. The findings of the study are as follows: Firstly, external pressure, specifically government pressure, significantly influences environmental responsibility activities, while investor pressure significantly affects social responsibility activities and governance responsibility activities. Additionally, internal management pressures significantly impact environmental responsibility activities, and employees have a significant influence on all ESG responsibility activities. Secondly, environmental responsibility activities positively affect corporate image, whereas social and governance responsibility activities influence trust and corporate image. Thirdly, trust and corporate image demonstrate significant effects on both financial and non-financial performance. Fourthly, trust significantly mediates the relationship between social responsibility, governance responsibility, and non-financial performance, while image mediates the connection between ESG responsibility and both financial and non-financial performance. The contribution of this study lies in providing practical insights for logistics companies to actively promote ESG activities, thereby establishing a reputation for being environmentally, socially, and governance responsible and gaining customer trust. By doing so, this study aims to raise awareness of the importance of ESG activities in the logistics industry and help companies recognize their significance for sustainable management

• Journal of Service Research and Studies
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• v.13 no.4
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• pp.142-159
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• 2023

As the core technologies of the 4th Industrial Revolution are introduced into luxury hotels, they are taking off as cultural and experiential spaces that provide new products and services to hotel users and new experiences. Therefore, this study investigated the effect of hotel users' perception of the experience of using technological amenity services on their trust and satisfaction, focusing on luxury hotels as smart hotel to identify the essential factors of smart hotels that can lead to continuous competitive advantage and improvements in the future. In addition, the study aimed to find an effective hotel marketing strategy and plan to satisfaction the smart hotel by maximizing customer satisfaction. To verify the research hypothesis, a survey was conducted targeting hotel users with experience using technological amenities in smart hotels within the last two years. As a result of the study, it was confirmed that all hypotheses were adopted except for the relationship between personification, intention to use technical amenities, and perceived performance expectations and satisfaction with smart hotels. Based on these research results, this paper presents theoretical and practical implications. Smart hotels are rapidly changing by introducing various smart technologies. Therefore, it will be meaningful data for securing a sustainable competitive advantage and establishing differentiated hotel management and marketing strategies.

• Journal of the Microelectronics and Packaging Society
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• v.30 no.4
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• pp.44-49
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• 2023

In the global pursuit of carbon neutrality, the rapid increase in the adoption of electric vehicles (EVs) has led to a corresponding surge in the demand for batteries. To achieve high efficiency in electric vehicles, considerations of weight reduction and battery safety have become crucial factors. Copper and aluminum, both recognized as lightweight materials, can be effectively joined through laser welding. However, due to the distinct physical characteristics of these two materials, the process of joining them poses technical challenges. This study focuses on conducting simulations to identify the optimal laser parameters for welding copper and aluminum, with the aim of streamlining the welding process. Additionally, a Graphic User Interface (GUI) program has been developed using the Python language to visually present the results. Using machine learning image data, this program is anticipated to predict joint success and serve as a guide for safe and efficient laser welding. It is expected to contribute to the safety and efficiency of the electric vehicle battery assembly process.

• Journal of Service Research and Studies
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• v.14 no.2
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• pp.101-116
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• 2024

As the spread of smartphones has become more common and the utilization rate has increased, the mobile shopping market is also growing and expectations for related industries are also increasing. Mobile shopping apps are converging with various industries such as fashion, beauty, and lifestyle, and competition among companies to increase the number of users is intensifying with the activation of non-face-to-face. Accordingly, in this study, a study on the perceived value and intention to use mobile shopping apps was conducted based on a VAM. In order to test the hypothesis of this study, a questionnaire was conducted on 266 people who had used a mobile shopping app and it was used for analysis. Looking at the results, it was confirmed that both usefulness and enjoyment among the perceived benefit of mobile shopping apps have a positive (+) effect on the perceived value. However, it was found that the technicality and perceived risk among the perceived sacrifices of mobile shopping apps did not significantly affect the perceived value. Finally, it was confirmed that the perceived value of the mobile shopping app had a positive (+) effect on the intention to use. Through this study, we would like to examine the factors that can affect perceived value and usage intention in the mobile shopping app industry, which is increasingly competitive among companies along with the rapid growth of mobile technology and market, and suggest practical implications for related companies and officials to establish efficient strategies to further increase mobile shopping app users.

• Knowledge Management Research
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• v.25 no.2
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• pp.219-243
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• 2024

This study investigates the impact of privacy concerns, perceived utility, and awareness of the right to personal data self-determination on the effective use and expansion of MyData services, which are critical to the data economy. Integrating the value-based adoption model with privacy calculus theory, the research examines how perceived utility, privacy concerns, trust, and personal innovativeness influence perceived value, perceived privacy, and the intention to provide personal information. Data collected from an online survey of 442 MyData service users and prospective users were analyzed using PLS-SEM and Bootstrapping methods via SmartPLS 4. The results indicate that perceived utility positively affects the intention to provide personal information, while privacy concerns have a negative impact. Trust and personal innovativeness positively influence the intention to adopt MyData services, and the awareness of personal data self-determination rights moderates these intentions. The findings underscore the importance of developing beneficial services that mitigate users' privacy concerns and build trust for the successful implementation of MyData services. Additionally, the study highlights the need for education and awareness campaigns to enhance understanding of the right to personal data self-determination.

• Journal of the Korean Society of Radiology
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• v.85 no.4
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• pp.714-726
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• 2024

Researchers have developed various algorithms utilizing artificial intelligence (AI) to automatically and objectively diagnose patterns and extent of pulmonary emphysema or interstitial lung diseases on chest CT scans. Studies show that AI-based quantification of emphysema on chest CT scans reveals a connection between an increase in the relative percentage of emphysema and a decline in lung function. Notably, quantifying centrilobular emphysema has proven helpful in predicting clinical symptoms or mortality rates of chronic obstructive pulmonary disease. In the context of interstitial lung diseases, AI can classify the usual interstitial pneumonia pattern on CT scans into categories like normal, ground-glass opacity, reticular opacity, honeycombing, emphysema, and consolidation. This classification accuracy is comparable to chest radiologists (70%-80%). However, the results generated by AI are influenced by factors such as scan parameters, reconstruction algorithms, radiation doses, and the training data used to develop the AI. These limitations currently restrict the widespread adoption of AI for quantifying pulmonary emphysema and interstitial lung diseases in daily clinical practice. This paper will showcase the authors' experience using AI for diagnosing and quantifying emphysema and interstitial lung diseases through case studies. We will primarily focus on the advantages and limitations of AI for these two diseases.

• Science of Emotion and Sensibility
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• v.27 no.2
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• pp.69-80
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• 2024

The COVID-19 pandemic highlighted the importance of remote education, yet the adoption rate of AI in the educational sector remains relatively low, and studies into learners' familiarity with using AI learning robots are scarce. In response, this study analyzes the factors influencing users' familiarity with AI learning robots in a smart learning environment tailored to the untact era. To this end, social big data analysis was used to examine changes in public perception and the frequency of mentions of smart learning and AI learning robots. The results showed that positive perceptions of smart learning significantly outweigh negative ones, reflecting the convenience and improved accessibility that technology brings to education. However, there is also a considerable negative perception attached to smartphone use, which is interpreted as reflecting concerns that smartphones may disrupt learning and bring other negative aspects of technology dependence. These results indicate mixed social concerns and expectations regarding the educational use of smart learning and AI technologies. The effective introduction and use of AI learning robots, especially in smart learning environments, necessitate considering these social perceptions. This study provides foundational data for the effective implementation and use of AI learning robots in smart learning environments and suggests the need for approaches that primarily consider users' familiarity and social perceptions in the development of educational technologies.

• Journal of Wetlands Research
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• v.26 no.3
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• pp.227-235
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• 2024

Inland wetlands provide important ecosystem services or functions, including biodiversity conservation, water purification, flood control, and carbon sequestration. However, many inland wetlands are being degraded by urbanization and industrialization, raising the need for conservation and restoration. This study proposes the adoption of No Net Loss(NLL) of Wetland for wetland conservation and restoration in Korea by the review of the literatures. To this end,, we analyzed the wetland conservation and management systems of the United States, Canada, Germany, Japan, and Australia, and identified institutional features and success factors of each country, and sought ways to adapt them to domestic conditions of Korea. The case of the United States highlights the importance of legal frameworks and public-private collaboration, Canada demonstrates systematic management approaches, Germany maintains a balance between development and conservation, Japan underscores the need for cooperative conservation efforts, and Australia emphasizes the efficiency of offset markets. The introduction and operation of these schemes are expected to contribute to climate change mitigation, biodiversity conservation, and water quality improvement, but ongoing research and policy efforts are needed to ensure that the schemes are well established.