South Korea Research Articles

Valuing flexible resources in the Korean electricity market based on stated preference methods

This study quantifies the value of lost load (VoLL) for the manufacturing sector in South Korea using stated preference methods. VoLL represents the cost of a stable electricity supply, which serves as a public good without a market price to compensate for flexible resources in the electricity market. The contingent valuation and choice experiment showed VoLL ranges from 0.35 to 0.80 USD per kWh unserved, below the industrial VoLL estimates in the existing literature. This finding suggests that outages may have lower costs for electricity consumers than investing in flexible resources. Using the correct estimate of outage costs is required to ensure capacity adequacy.

Determining the possibility of passage through narrow alleys using ultrasonic sensors

The complex road topography of South Korea presents significant challenges to the timely arrival of emergency vehicles. Compounding the issue, obstacles such as legally or illicitly constructed structures, and improperly parked or stationary vehicles, frequently obstruct the path of emergency vehicles. To address these challenges, this study introduces a novel system aimed at enhancing emergency response times. The system employs ultrasonic sensors that can be integrated into personal devices to measure the width of the numerous narrow alleys prevalent in Korea's densely populated regions. Experiments demonstrate that within a 1-meter range in front of a narrow alley with widths varying between 270 cm and 450 cm where vehicle maneuvering is possible, it's possible to accurately gauge the width using two ultrasonic sensors, achieving a precision within a 5 cm margin of error. This level of accuracy enables the practical assessment of whether emergency vehicles can access the area in real-time by identifying the alley's narrowest point. The proposed system is a cost-effective method using easy-to-buy devices for augmenting emergency preparedness and enhancing emergency response times by ensuring that emergency vehicles can navigate through alleys, thereby fostering a safer living environment.

A Critical Examination and Scrutiny between Tata Steels and JSW Steels Limited in India

Abstract: Over the past few years, the Indian steel sector has advanced quickly thanks to solid foundations. The industry is receiving all of the necessary components needed for rapid expansion. The industry is receiving billions of dollars in investments from the private sector and advantageous industrial changes from the government. Due to the robust domestic demand from the building, automotive, and infrastructure sectors, the industry was able to maintain its positive growth momentum even during the difficult economic downturn. With a stellar history, the nation is now well-known in the global steel sector. The remarkable performance of the industry has attracted global steel companies from all over the world. For instance, India's production of crude steel reached 56.6 million metric tonnes in 2009, a modest year-over-year increase of 2.7%. Conversely, a number of Asian nations, including South Korea and Japan, experienced a sharp drop in their production levels. This further demonstrates the Indian steel industry's robustness and resilience against outside risk factors. The impact of the steel industry on two significant businesses, Tata Steels and JSW Steels, is discussed in this essay. Additionally, the author has attempted to use ratio analysis in the study to highlight Tata Steels' and JSW Steels' financial performance.

Association between the utilization of senior centers and participation in health check-ups

The global older adult population is increasing. Early detection and intervention through health check-ups are crucial for successful aging, as they play a significant role in identifying and addressing diseases. This study explored the relationship between the utilization of senior centers and the promotion of health check-ups. It utilized data from 10,097 individuals aged 65 years and above, sourced from the 2020 Elderly Survey in South Korea. The primary variable of interest was classified into two groups: those who utilized senior centers and those who did not. Subgroups were further categorized based on the frequency of usage and the presence of family members among senior centers users. Logistic regression analyses were conducted to assess the association between the utilization of senior centers and participation in health check-ups. Both men and women utilizing senior centers demonstrated a higher likelihood of participating in health check-ups compared with those who did not use senior centers. Participants visiting senior centers in a week exhibited a progressively higher likelihood of engaging in health check-ups compared with those who visited such senior centers zero times a week. Senior centers can serve as effective intervention methods to enhance health check-ups among older adults. Furthermore, this can contribute to fostering successful aging among older adults.

Development and psychometric evaluation of the adjuvant endocrine therapy beliefs scale for breast cancer survivors.

Adjuvant endocrine therapy has a vital role in reducing breast cancer mortality. The beliefs in adjuvant endocrine therapy is a very important factor in the medication adherence of breast cancer survivors. Therefore, it is necessary to develop a standardized scale for assessment of adjuvant endocrine therapy. The purpose of this study was to identify the attributes of adjuvant endocrine therapy beliefs, and to evaluate adjuvant endocrine therapy beliefs scale psychometric properties. A hybrid model was applied to identify the concept of adjuvant endocrine therapy beliefs and measurement question were developed by the scale development process. Statistical analysis using validity analysis and Rasch analysis based on item response theory were performed. A total of 228 breast cancer survivors in South Korea participated in the study. The finally developed adjuvant endocrine therapy beliefs scale consisted of 22 items. The items extracted by 4 factors explained 59.72% of the total variance. The model fit showed an acceptable level. The adjuvant endocrine therapy beliefs scale was excellent in convergent and discriminant validity with reliability. This scale is expected to be practical and useful in identifying adjuvant endocrine therapy beliefs and developing intervention strategies to promote adjuvant endocrine therapy adherence. In addition, continuous education and support should be accompanied so that breast cancer survivors can maintain positive beliefs in adjuvant endocrine therapy adherence.

Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort

This study aimed to present a new approach to predict to delirium admitted to the acute palliative care unit. To achieve this, this study employed machine learning model to predict delirium in patients in palliative care and identified the significant features that influenced the model. A multicenter, patient-based registry cohort study in South Korea between January 1, 2019, and December 31, 2020. Delirium was identified by reviewing the medical records based on the criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. The study dataset included 165 patients with delirium among 2314 patients with advanced cancer admitted to the acute palliative care unit. Seven machine learning models, including extreme gradient boosting, adaptive boosting, gradient boosting, light gradient boosting, logistic regression, support vector machine, and random forest, were evaluated to predict delirium in patients with advanced cancer admitted to the acute palliative care unit. An ensemble approach was adopted to determine the optimal model. For k-fold cross-validation, the combination of extreme gradient boosting and random forest provided the best performance, achieving the following accuracy metrics: 68.83% sensitivity, 70.85% specificity, 69.84% balanced accuracy, and 74.55% area under the receiver operating characteristic curve. The performance of the isolated testing dataset was also validated, and the machine learning model was successfully deployed on a public website (http://ai-wm.khu.ac.kr/Delirium/) to provide public access to delirium prediction results in patients with advanced cancer. Furthermore, using feature importance analysis, sex was determined to be the top contributor in predicting delirium, followed by a history of delirium, chemotherapy, smoking status, alcohol consumption, and living with family. Based on a large-scale, multicenter, patient-based registry cohort, a machine learning prediction model for delirium in patients with advanced cancer was developed in South Korea. We believe that this model will assist healthcare providers in treating patients with delirium and advanced cancer.

Intentionally self-injured patients have lower mortality when treated at trauma centers versus non-trauma centers in South Korea

ObjectiveThis study investigated the characteristics and survival rates of patients with intentional severe trauma (self-harm or suicide) who were transported to either a regional trauma center (TC) or a non-TC...

KNN Local Linear Regression for Demarcating River Cross-Sections with Point Cloud Data from UAV Photogrammetry URiver-X

Aerial surveying with unmanned aerial vehicles (UAVs) has been popularly employed in river management and flood monitoring. One of the major processes in UAV aerial surveying for river applications is to demarcate the cross-section of a river. From the photo images of aerial surveying, a point cloud dataset can be abstracted with the structure from the motion technique. To accurately demarcate the cross-section from the cloud points, an appropriate delineation technique is required to reproduce the characteristics of natural and manmade channels, including abrupt changes, bumps and lined shapes. Therefore, a nonparametric estimation technique, called the K-nearest neighbor local linear regression (KLR) model, was tested in the current study to demarcate the cross-section of a river with a point cloud dataset from aerial surveying. The proposed technique was tested with synthetically simulated trapezoidal, U-shape and V-shape channels. In addition, the proposed KLR model was compared with the traditional polynomial regression model and another nonparametric technique, locally weighted scatterplot smoothing (LOWESS). The experimental study was performed with the river experiment center in Andong, South Korea. Furthermore, the KLR model was applied to two real case studies in the Migok-cheon stream on Hapcheon-gun and Pori-cheon stream on Yecheon-gun and compared to the other models. With the extensive applications to the feasible river channels, the results indicated that the proposed KLR model can be a suitable alternative for demarcating the cross-section of a river with point cloud data from UAV aerial surveying by reproducing the critical characteristics of natural and manmade channels, including abrupt changes and small bumps as well as different shapes. Finally, the limitation of the UAV-driven demarcation approach was also discussed due to the penetrability of RGB sensors to water.

Association of menopausal status with body composition and anthropometric indices in Korean women.

Menopause induces various health problems and is associated with obesity, but the association between menopausal status and obesity is unclear due to several confounding factors, such as aging and reduced physical activity. The objective of this study was to examine the association of menopausal status with anthropometric indices and body composition indices in South Korean women. In this cross-sectional study, a total of 734 subjects (297 postmenopausal women, 437 premenopausal women) from five university hospitals in South Korea were included. A binary logistic regression analysis was performed to examine the association of menopause with anthropometric indices and body composition indices. Height, body mass index, waist-to-height ratio, waist-to-hip ratio, and neck, armpit, chest, rib, waist, iliac, and hip circumferences were associated with menopausal status in the crude analysis, but these associations disappeared in the adjusted models. Among the body composition indices, menopausal status was strongly associated with total body water, skeletal muscle mass, body fat mass, and body fat percentage in the crude analysis. However, the associations with body fat mass and body fat percentage disappeared in the adjusted models. Only the associations with total body water and skeletal muscle mass remained in the adjusted models. Most of the anthropometric indices and body composition indices were not associated with menopausal status, but total body water and skeletal muscle mass were significantly lower in postmenopausal women than in premenopausal women.

Survey of patient satisfaction with genetic counseling services in Korea.

Since the 1990s, genetic clinics have been established in South Korea, enabling the provision of clinical genetics services. However, genetic counseling services are not widely used in the medical system. In contrast, recently, the demand for genetic counseling has increased due to the rapid development of genomic medicine. Therefore, it is important for medical geneticists and genetic counselors to collaboratively provide genetic counseling services. This study aimed to evaluate the perception and satisfaction of patients with rare genetic diseases and their families regarding genetic counseling services provided by a genetics team at the medical genetics center of a tertiary general hospital for rare genetic diseases. From April to November 2021, a survey was conducted with 203 individuals, including 111 and 92 individuals in the patient and family groups, respectively. Overall, 164 individuals (80.8%) responded that they were aware of genetic counseling services, and 135 individuals (66.5%) responded that they were aware of the role of genetic counselors. Patients and their families wanted to receive information about the following from genetic counseling: clinical manifestation and prognosis of the diagnosed disease (78.8%), treatment and management of the disease (60.6%), risk of recurrence within the family (55.7%), treatment options and alternatives for family and prenatal testing, and various support services. The score of satisfaction with genetic counseling services provided by the genetics team was 8.19 ± 1.68 out of 10. Patients with rare genetic diseases and their families were satisfied with genetic counseling services regarding their diseases, test results, and treatment options. Moreover, the patients could receive psychosocial support and referrals to other medical service providers and support services. As a genetic team approach, collaboration between medical geneticists and certified genetic counselors would be useful in providing information and in diagnosing, treating, and managing patients.

Resource recombination perspective on open eco‐innovation: Open innovation type, strategic orientation, and green innovation

AbstractThis study aims to investigate the missing links in open eco‐innovation by focusing on the following questions, which existing studies have limited attention in the existing literature: (1) Given the level of breadth and depth of a firm's open eco‐innovation, how can open innovation types be distinguished? (2) In what way does the open innovation type differ in implementing an open eco‐innovation strategy? and (3) How do open innovation strategic differences affect green innovation performance? Drawing upon the knowledge‐based view and dynamic capability perspective, this study provides theoretical grounds for a firm's breadth and depth of an open eco‐innovation strategy. It suggests a 2 2 resource recombination framework to differentiate between four open innovation types for green innovation: Maverick, Best friend, True, and Cherry‐picker. Using data from 2496 manufacturing firms in South Korea, we applied a k‐means cluster analysis to generate four groups and conducted regression analyses to confirm hypotheses. Our findings supported the influence of open innovation type on strategic orientation; however, the effect was not observed in Best Friend. Additionally, ambidextrous strategic orientation significantly influenced green innovation compared to either exploitative or explorative strategic orientations.

Online school sport club in South Korea: policy adaptation towards youth development through sport during touchless era

ABSTRACT Using Bronfenbrenner’s bioecological theory, this qualitative case study aimed to explore how the online school sport clubs (O-SSC) were developed and administered as a counteraction against the pandemic and the meanings of the O-SSC from stakeholders’ perspectives in South Korea. Data were collected from official and open-source O-SSC materials, working-level meeting logs, and in-depth interviews with six policy stakeholders that included superintendents and teachers in Seoul, South Korea. The findings revealed four themes regarding the development of the policy and perceived changes as a result of the implementation of O-SSC: (a) thinking outside the box beyond traditional sports, (b) melting the frozen gym, (c) setting the stage beyond stereotypes in sport and physical spaces, and (d) unlimited opportunities to challenge: ‘you can try it again tomorrow’. The discussion addressed the following: (a) O-SSC as a domino effect for youth development through sport and (b) balance between sportisation and healthisation. The O-SSC generated a transformative chain of changes, providing youths with a new sporting developmental asset and prioritising students’ basic psychological needs and motivation. Furthermore, it embraced the inclusiveness, a quality missing in traditional school sport, and integrated aspects of physical fitness to tackle the adolescents’ physical inactivity caused by COVID-19. To conclude, it is imperative to call for the development of school sport policy that is more adaptive, inclusive, and future-oriented, not just to prepare for future contingencies but to embrace new possibilities of school sport for the benefit of school-age adolescents.

A Cross-Cultural Examination of Young Children’s Attitudes Towards Peers with Disabilities in South Korea and the United States

ABSTRACT Despite much research effort in promoting young children’s positive attitudes towards peers with disabilities, little is known about cultural influences on the attitude formation. In this study, data were collected from 111 kindergarten aged children from South Korea (n = 59) and the United States (n = 52) to measure the participating children’s attitudes towards peers with disabilities and compare their responses to an attitude measure, the Acceptance Scale for Kindergarteners-Revised (ASK-R). Results revealed that American children had significantly more positive attitudes towards peers with disabilities than Korean children did. When comparing children’s responses to each item in the ASK-R, larger differences were found on the items that did not specifically ask about peers with disabilities (e.g. Do you play with kids even if they look different?). Based on the results, cultural influences on children’s understanding and acceptance of peers with disabilities are discussed.

A tale of government spending efficiency and trust in the state

AbstractThis paper empirically links the efficiency and performance assessment of the general government, proxied by efficiency scores, to the trust in government. Government spending efficiency scores are first computed via data envelopment analysis (DEA). Then, relying on panel data and instrumental variable approaches, we estimate the effect of public sector efficiency on citizens trust on national governments. The sample covers 36 OECD countries between 2007 and 2019. We find that the more efficient countries in terms of government spending are Australia, Chile, Ireland, New Zealand, South Korea, Switzerland. Secondly, our main finding is that better public sector spending efficiency is positively associated with citizens’ higher trust in governments. In general, political economy variables and the existence of fiscal rules do not seem to significantly affect our measure of trust. The results hold using alternative proxies for public sector efficiency, alternative measures for trust, specifications with different control variables and different empirical approaches (instrumental variables).

Give and take: understanding innovative behaviour from a psychological contract perspective

ABSTRACT Despite numerous studies, little is known about public employees’ motivation to innovate. Based on psychological contract theory, this article examines why they have different levels of motivation for innovative behaviour. Using national-scale surveys of public employees in South Korea, this study demonstrates that employees become less innovative when financially compensated as expected, but more innovative when their expectations regarding career development and well-being are met. This indicates that individual motivation for innovation varies depending on the quality of the relationship with the organization, emphasizing that the organization should make a relational commitment to employees to foster innovative behaviour.

Prognostic Impact of CYP2C19 Genotypes on Long-Term Clinical Outcomes in Older Patients After Percutaneous Coronary Intervention.

Carriers of CYP2C19 loss-of-function alleles have increased adverse events after percutaneous coronary intervention, but limited data are available for older patients. We aimed to evaluate the prognostic impact of CYP2C19 genotypes on clinical outcomes in older patients after percutaneous coronary intervention. The study included 1201 older patients (aged ≥75 years) who underwent percutaneous coronary intervention and received clopidogrel-based dual antiplatelet therapy in South Korea. Patients were grouped on the basis of CYP2C19 genotypes. The primary outcome was 3-year major adverse cardiac events, defined as a composite of cardiac death, myocardial infarction, and stent thrombosis. Older patients were grouped into 3 groups: normal metabolizer (36.6%), intermediate metabolizer (48.1%), and poor metabolizer (15.2%). The occurrence of the primary outcome was significantly different among the groups (3.1, 7.0, and 6.2% in the normal metabolizer, intermediate metabolizer, and poor metabolizer groups, respectively; P=0.02). The incidence rate of all-cause death at 3 years was greater in the intermediate metabolizer and poor metabolizer groups (8.1% and 9.2%, respectively) compared with that in the normal metabolizer group (3.5%, P=0.03) without significant differences in major bleeding. In the multivariable analysis, the intermediate metabolizer and poor metabolizer groups were independent predictors of 3-year clinical outcomes. In older patients, the presence of any CYP2C19 loss-of-function allele was found to be predictive of a higher incidence of major adverse cardiac events within 3 years following percutaneous coronary intervention. This finding suggests a need for further investigation into an optimal antiplatelet strategy for older patients. URL: https://clinicaltrials.gov. Identifier: NCT04734028.

Optimal coordination of power to gas-linked energy systems: Focused on energy policy in South Korea

In this paper, the role of Power to Gas (P2G) technology in securing contributions from policy and economic perspectives is explored. The potential of P2G-linked energy systems to enhance the output of uncontrollable Renewable Energy Sources (RES) is examined, thereby ensuring more effective power rates from RES and achieving policy-mandated clean hydrogen production targets. From the perspective of policymakers, the integration of P2G technology represents a significant advancement toward achieving policy objectives. Furthermore, this paper investigates how new business models leveraging P2G technology can develop innovative benefit structures and strengthen economic contributions. The feasibility of P2G integration is analyzed from the viewpoints of policymakers, who aim to achieve policy goals, and Energy eXchange Aggregators (EXA), the investment entities responsible for the practical implementation of P2G technology. The research findings confirm that as the capacity of RES increases, the performance of P2G technology significantly improves. Compared to systems not utilizing P2G, the application of P2G technology results in an increase of up to 25 % in the maximum effective power rate from RES and a numerical improvement of approximately 22 % in the benefits derived from RES. While this paper focuses on energy policy factors in South Korea, its findings and implications can be extended to a global context, assuming a mandatory increase in the share of clean hydrogen production and RES globally in the future.

Sustaining success: the power of relational bonding in building franchisee trust in South Korea’s food service industry

PurposeRelationship marketing has emerged as pivotal, aiming to bolster collaboration and reduce uncertainty for both franchisors and franchisees. However, understanding the nuanced impact of relational bonding strategies – financial, social, and structural – on franchisee outcomes, particularly in South Korea’s food service industry, remains lacking. This study is an in-depth exploration of the nuanced impact of franchisors’ relational bonding strategies – structural, social, and economic – on critical franchisee outcomes in the food service industry.Design/methodology/approachBy leveraging data from 496 franchisees in South Korea, our investigation meticulously delineates the unique contributions of these bonding strategies in enhancing franchisee’s social and economic satisfaction, building trust in franchisors and fostering long-term orientation among franchisees. This study unravels the complex mediating roles that satisfaction and trust play in the dynamic interplay between franchisors’ bonding efforts and the cultivation of enduring franchisee relationships.FindingsThe study reveals that structural, social, and economic bonding impact social satisfaction, while all relational bonding factors directly influence economic satisfaction. Structural and economic bonding influence trust in the franchisor, but social bonding does not. Economic and social satisfaction directly affect trust, and only economic satisfaction directly influences long-term orientation. Finally, trust in the franchisor positively affects long-term orientation.Originality/valueWe offer fresh insights into the strategic management of franchisor–franchisee relationships, aiming to enrich the literature on relationship marketing by highlighting the differential impacts and significance of distinct bonding strategies in promoting sustainable franchise partnerships.

Inherited CARD9 Deficiency Due to a Founder Effect in East Asia.

Autosomal recessive CARD9 deficiency can underly deep and superficial fungal diseases. We identified two Japanese patients, suffering from superficial and invasive Candida albicans diseases, carrying biallelic variants of CARD9. Both patients, in addition to another Japanese and two Korean patients who were previously reported, carried the c.820dup CARD9 variant, either in the homozygous (two patients) or heterozygous (three patients) state. The other CARD9 alleles were c.104G > A, c.1534C > T and c.1558del. The c.820dup CARD9 variant has thus been reported, in the homozygous or heterozygous state, in patients originating from China, Japan, or South Korea. The Japanese, Korean, and Chinese patients share a 10Kb haplotype encompassing the c.820dup CARD9 variant. This variant thus originates from a common ancestor, estimated to have lived less than 4,000years ago. While phaeohyphomycosis caused by Phialophora spp. was common in the Chinese patients, none of the five patients in our study displayed Phialophora spp.-induced disease. This difference between Chinese and our patients probably results from environmental factors. (161/250).

Enhancing Patient Flow in Emergency Departments: A Machine Learning and Simulation-Based Resource Scheduling Approach

The efficient scheduling of resources within emergency departments (EDs) is crucial to minimizing patient length of stay (LoS) times and maximizing the utilization of limited resources. Reducing patient wait times can enhance the operation of emergency departments and improve patient satisfaction and the quality of medical care. This study develops a simulation model using Discrete Event Simulation (DES) methodology, examining six resource scheduling policies that consider different combinations of general and senior physicians. By leveraging six scheduling policies and machine learning techniques, this model dynamically identifies the most effective scheduling policy, based on a comprehensive dataset of ED visits in South Korea. The ED simulation achieves an accuracy rate of 90% and demonstrates that our proposed integrated machine learning approach reduces average length of stay (LoS) to approximately 322.91 min, compared to 327.10 min under traditional methods. This study underscores the potential of integrating DES and machine learning to enhance resource management in EDs.