• Journal of KIBIM
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• v.10 no.4
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• pp.11-21
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• 2020

With increasing interest and research on smart cities, there is also an increasing number of studies on urban facilities that can be built within smart cities. According to these studies, smart cities' urban facilities are likely to become high value-added industries. However, the concept of smart city is not clear because it involves various fields. Therefore, in this study, the definition of Next-Generation(N.G) Smart City Facilities with Digital Twin and Digital Chain is carried out through a multidisciplinary approach. Based on this, Next-Generation Smart City Facilities will be divided into High Value-Added Products and Big Data Platforms. Subsequently, the definition of the Digital Chain containing the data flow of the entire process built through the construction of the Digital Twin proceeds. The definitions derived are applied to the Next-Generation Noise Barrier Tunnel to ensure that data is exchanged at the Digital Twin stage, and to review the proposed configuration of the Digital Chain and Data Flow in this study. The platform definition and Digital Chain of Next-Generation Smart City Facilities proposed in this study suggest that it can affect not only the aspects of data management that are currently in the spotlight, but also the manufacturing industry as a whole.

• Journal of Preventive Medicine and Public Health
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• v.41 no.2
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• pp.74-79
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• 2008

Since the positive listing system for prescription drug reimbursement has been introduced in Korea, the number of pharmacoeconomic evaluation studies has increased. However it is not clear if the quality of pharmacoeconomic evaluation study has improved. Due to the lack of randomized clinical studies in Korean health care setting, Korean economic evaluation studies have typically integrated the local cost data and foreign clinical data. Therefore methodological issues can be raised in regard to data coherence and consistency. But the quality of data was not questiened and the potential bias has not been investigated yet. Even though changes in policy have encouraged the undertaking of pharmacoeconomic evaluations, there is few public-side funding for validation study of cost-effectiveness models and data. Several companies perform economic evaluation studies to be submitted on behalf of their own products, but do not want the study results to be disclosed to the academic community or public. To improve the present conduct of pharmacoeconomic evaluations in Korea, various funding sources need to be developed, and, like other multidisciplinary areas, the experts in different fields of study should collaborate to ensure the validity and credibility of pharmacoeconomic evaluations.

• Child Health Nursing Research
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• v.27 no.1
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• pp.34-42
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• 2021

Purpose: The purpose of this study was to identify the supportive care needs of parents of preterm children in South Korea using text data from a portal site. Methods: In total, 628 online newspaper articles and 1,966 social network service posts published between January 1 and December 31, 2019 were analyzed. The procedures in this study were conducted in the following order: keyword selection, data collection, morpheme analysis, keyword analysis, and topic modeling. Results: The term "yirundung-yi", which is a native Korean word referring to premature infants, was confirmed to be a useful term for parents. The following four topics were identified as the supportive care needs of parents of preterm children: 1) a vague fear of caring for a baby upon imminent neonatal intensive care unit discharge, 2) real-world difficulties encountered while caring for preterm children, 3) concerns about growth and development problems, and 4) anxiety about possible complications. Conclusion: Supportive care interventions for parents of preterm children should include general parenting methods for babies. A team composed of multidisciplinary experts must support the individual growth and development of preterm children and manage the complications of prematurity using highly accessible media.

• The Journal of the Korea Contents Association
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• v.15 no.11
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• pp.635-657
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• 2015

The current society characterized by knowledge-based information technology and multiculturalism put more emphasis on problem-solving skills, creative thinking, and communication skills than any other periods did. In response to the demand of the current times, multidisciplinary, or convergence courses and majors are being created and conducted in college education, yet, with the lack of specific teaching and learning model for the convergence courses. In this context, this study aimed to examine PBL as an instructional model for the convergent approaches in classroom, since PBL has been regarded as a model for fostering the 21st century learning capabilities for student coupled with the learning principles of authentic tasks, learner-centeredness, collaborative learning. This study, after conducted a PBL course for the general art education during the summer semester of 2014, analyzed the result using data collected from students' reflective journals, in-depth interviews, and SNS posts among the students. The result presented students' enhanced self-respect, increased interest in their learning and communication skills, and their recognition of the value on diversity and empathetic attitudes toward each others. In conclusion, PBL showed its potential as an alternative instructional model for the multidisciplinary and convergent learning in college education.

• Journal of Korean Neuropsychiatric Association
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• v.57 no.2
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• pp.190-208
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• 2018

Objectives To initiate and develop a treatment guideline in multidisciplinary approaches for related professions who are either working and/or living with children and adolescents with neurodevelopmental disorders who show behavioral problems. Methods To collect and reflect opinions from multiple professions who assumedly have different interventions or mediations on behavioral problems, a self-report survey and Focus Group Interview (FGI) were conducted for a group of child and adolescent psychiatrists, behavioral therapists, special education teachers, social welfare workers, and caregivers. Results According to a self-report survey and FGI results from multiple professional groups, aggressive behavior is the mostly common behavioral problem necessitating urgent interventions. However, both mainly used intervention strategies and effective treatment methods were different depending on professional backgrounds, such as pharmacological treatment, parent training, and behavior therapy, even though they shared an importance of improving communication skills. In addition, there was a common understanding of necessity to include parent training in a guideline. Lastly the data suggested lack of proper treatment facilities, qualified behavior therapists, and lack of standardized treatment guideline in the field needed to be improved for a quality of current therapeutic services. Conclusion It is supported that several subjects should be included in the guidelines, such as how to deal with aggressive behavior, parent training, and biological aspects of neurodevelopmental disorders. Also, it is expected that publishing the guideline would be helpful to above multiple professions as it is investigated that there are lack of treatment facility and qualified behavioral therapists compared to need at the moment.

• Journal of Ecology and Environment
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• v.47 no.4
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• pp.228-240
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• 2023

Growing complexity in ecosystem structure and functions, under impacts of climate and land-use changes, requires interdisciplinary understandings of processes and the whole-system, and accurate estimates of the changing functions. In the last three decades, observation networks for biodiversity, ecosystems, and ecosystem functions under climate change, have been developed by interested scientists, research institutions and universities. In this paper we will review (1) the development and on-going activities of those observation networks, (2) some outcomes from forest carbon cycle studies at our super-site "Takayama site" in Japan, and (3) a few ideas how we connect in-situ and satellite observations as well as fill observation gaps in the Asia-Oceania region. There have been many intensive research and networking efforts to promote investigations for ecosystem change and functions (e.g., Long-Term Ecological Research Network), measurements of greenhouse gas, heat, and water fluxes (flux network), and biodiversity from genetic to ecosystem level (Biodiversity Observation Network). Combining those in-situ field research data with modeling analysis and satellite remote sensing allows the research communities to up-scale spatially from local to global, and temporally from the past to future. These observation networks oftern use different methodologies and target different scientific disciplines. However growing needs for comprehensive observations to understand the response of biodiversity and ecosystem functions to climate and societal changes at local, national, regional, and global scales are providing opportunities and expectations to network these networks. Among the challenges to produce and share integrated knowledge on climate, ecosystem functions and biodiversity, filling scale-gaps in space and time among the phenomena is crucial. To showcase such efforts, interdisciplinary research at 'Takayama super-site' was reviewed by focusing on studies on forest carbon cycle and phenology. A key approach to respond to multidisciplinary questions is to integrate in-situ field research, ecosystem modeling, and satellite remote sensing by developing cross-scale methodologies at long-term observation field sites called "super-sites". The research approach at 'Takayama site' in Japan showcases this response to the needs of multidisciplinary questions and further development of terrestrial ecosystem research to address environmental change issues from local to national, regional and global scales.

• Journal of Contemporary Eastern Asia
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• v.13 no.1
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• pp.5-18
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• 2014

This exploratory study investigates the use of a computational knowledge engine (WolframAlpha) and social networking sites (Gmail, Yahoo and Facebook) by 200 students at De La Salle-College of Saint Benilde, their "friends" and their "friends of friends" during the 2009 through 2013 school years, and how this appears to have added value in knowledge generation. The primary aim is to identify what enhances productiveness in knowledge generation in Philippine Tertiary Education. The phenomenological approach is used, therefore there are no specific research questions or hypotheses proposed in this paper. Considering that knowledge generation is a complex phenomenon, a stochastic modelling approach is also used for the investigation that was developed specifically to study un-deterministic complex systems. A list of salient features for knowledge generation is presented as a result. In addition to these features, various problem types are identified from literature. These are then integrated to provide a proposed framework of inclusive (friendly) and innovative social networks, for knowledge generation in Philippine tertiary education. Such a framework is necessarily multidisciplinary and useful for problem-solving in a globalized and pluralist reality. The implementation of this framework is illustrated in the three parts of the study: Part 1: Online lessons, discussions, and examinations in General Psychology, Introduction to Sociology, and Life and Works of Jose Rizal, for the author's students in De La Salle-College of Saint Benilde; Part 2: Facebook Report analytics of students and teachers, their friends and their friends of friends via WolframAlpha; and Part 3: Social Network Analysis of the people and groups influencing the courses' scope-and-sequence in the new General Education Curriculum for Tertiary Schools and Institutions in the Philippines.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.31 no.5
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• pp.18-24
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• 2003

The design cycle associated with large engineering systems requires an initial decomposition of the complex system into design processes which are coupled through the transference of output data. Some of these design processes may be grouped into iterative sybcycles. Previous researches predifined the numbers of design processes in groups, but these group sizes should be determined optimally to balance the computing time of each groups. This paper proposes adaptive decomposition method, which determines the group sizes and the order of processes simultaneously to raise design efficiency by expanding the chromosome of the genetic algorithm. Finally, two sample cases are presented to show the effects of optimizing the sequence of processes with the adaptive decomposition method.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.265-273
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• 2019

The Purpose of this study was to investigate the attitude and confidence of patient safety in undergraduate healthcare professions students. The subjects consisted of 145 grade 3,4 students who have had clinical practice in nursing and emergency medical technician schools in a J province from June 1st to 30th in 2016. Data were analyzed with SPSS 21.0 using descriptive statistics. The results of the study showed that the attitude of nursing students were more positive, but there was no difference in patient safety self-confidence and patient safety education experience, and the students who had experienced medical errors saw positive attitude and self-confidence. Based on the results of this study, I propose case-based multidisciplinary contents development to nurture emergency healthcare professions

• Archives of Plastic Surgery
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• v.48 no.2
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• pp.165-174
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• 2021

Background In recent years, implant-based breast reconstruction has been performed because of its simplicity, short operation time, and rapid recovery of patients. Several studies have reported treatment methods for implant surgery-related infection, which is a serious complication. The aim of this study was to introduce our strategy for salvaging infected implants and to evaluate its effectiveness. Methods The authors performed a retrospective study of 145 cases from 132 patients who underwent implant-based breast reconstruction from January 2012 to December 2018. Empirical antibiotics were immediately administered to patients with suspected infections. The patients then underwent salvage treatment including appropriate antibiotics, ultrasonography-guided aspiration, debridement, antibiotic lavage, and implant exchange through a multidisciplinary approach. Patient demographics, operative data, duration until drain removal, adjuvant treatment, and complications were analyzed. Results The total infection rate was 5.5% (8/145). A longer indwelling catheter period and adjuvant treatment were significantly associated with infection. The salvage treatment showed a success rate of 87.5% (7/8). Seven patients who received early aggressive salvage treatment recovered from infection. One patient with methicillin-resistant Staphylococcus aureus, who received salvage treatment 11 days after symptom onset, did not respond to drainage and antibiotic treatment. That patient subsequently underwent explantation. Conclusions In implant-based breast reconstruction, prevention of infection is of the utmost importance. However, if an infection is suspected, proactive empirical antibiotic therapy and collaboration with the necessary departments are required. Through a multidisciplinary approach and proactive early management, swift and appropriate salvage should be performed.