• Journal of Trauma and Injury
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• v.36 no.4
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• pp.322-328
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• 2023

Purpose: Patients with multiple trauma necessitate assistance from a wide range of departments and professions for their successful reintegration into society. Historically, the primary focus of trauma treatment in Korea has been on reducing mortality rates. This study was conducted with the objective of evaluating the current state of multidisciplinary treatment for patients with severe trauma in Korea. Based on the insights of trauma specialists (i.e., medical professionals), we aim to suggest potential improvements. Methods: An online questionnaire was conducted among 871 surgical specialists who were members of the Korean Society of Traumatology. The questionnaire covered participant demographics, current multidisciplinary practices, perceived challenges in collaboration with rehabilitation, psychiatry, and anesthesiology departments, and the perceived necessity for multidisciplinary treatment. Results: Out of the 41 hospitals with which participants were affiliated, only nine conducted multidisciplinary meetings or rounds with nonsurgical departments. The process of transferring patients to rehabilitation facilities was not widespread, and delays in these transfers were frequently observed. Financial constraints were identified by the respondents as a significant barrier to multidisciplinary collaboration. Despite these hurdles, the majority of respondents acknowledged the importance of multidisciplinary treatment, especially in relation to rehabilitation, psychiatry, and anesthesiology involvement. Conclusions: This survey showed that medical staff specializing in trauma care perceive several issues stemming from the absence of a multidisciplinary system for patient-centered care in Korea. There is a need to develop an effective multidisciplinary treatment system to facilitate the recovery of trauma patients.

• Korean Journal of Clinical Pharmacy
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• v.28 no.2
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• pp.138-145
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• 2018

Background: Presently, a multidisciplinary team of doctors, pharmacists, nurses, and dietitians provides patient education to impart information on chemotherapy. However, studies on multidisciplinary education satisfaction are inadequate. In this study, we aimed to contribute to the improvement of quality of multidisciplinary education counseling for patients with cancer by developing a satisfaction questionnaire and analyzing the satisfaction survey. Methods: A questionnaire was developed by an expert group, and the responses were recorded using the 5-point Likert scale. After conducting a pre-test, factor analysis was performed to evaluate validity. The reliability of the questionnaire was measured by Cronbach's alpha coefficient. A satisfaction survey was conducted by self-administration method. Results: Based on the results of factor analysis, factors can be divided into two parts: "overall education" and "each team member's education" (total 14 questions). The construct validity and reliability of the questionnaire are sufficiently high. Fifty-one patients took the survey between January 2, 2018 and January 20, 2018. Twenty-six (51%) patients responded that they were "very satisfied" and 22 (43.1%) patients responded that they were "satisfied". Conclusion: By developing a questionnaire on multidisciplinary education counseling for patients with cancer, it is possible to perform evaluation and research of cancer patient education. This study will contribute to the management and improvement of quality of multidisciplinary education.

• Korean Journal of Childcare and Education
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• v.16 no.1
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• pp.1-20
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• 2020

Objective: The purpose of this study was to explore the application of the multidisciplinary model, which is customized evidence-based counseling for abused preschool children done by a day care center teacher. Methods: The participants were 16 preschool children which were abused by a day care center teacher and their parents. The data were analyzed by using the Wilcoxon Signed-rank test. Results: The multidisciplinary cooperative service model based on customized evidence-based counseling for abused preschool children, their parents, and day care center teachers was developed. Based on this model, customized evidence-based Post-Traumatic Stress Disorder (PTSD) emergency intervention was provided to preschool children abused by a day care teacher in Incheon. The multidisciplinary cooperative emergency intervention service proved to be effective in reducing emotional and behavioral problems of abused preschool children and enhancing the mental health of parents. Conclusion/Implications: The results of this study indicated that the customized evidence-based counseling for abused preschool children done by a day care center teacher using the multidisciplinary cooperative linkage system would be effective, and that child abuse prevention by day care center teachers and intervention services should be provided systematically at the national level.

• Proceedings of the KSME Conference
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• 2001.06c
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• pp.170-175
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• 2001

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 subcycles. In analyzing or optimizing such a coupled system, it is essential to determine the best order of the processes within these subcycles to reduce design cycle time and cost. This is accomplished by decomposing large multidisciplinary problems into several multidisciplinary analysis subsystems (MDASS) and processing it in parallel. This paper proposes new strategy for parallel decomposition of multidisciplinary problems to improve design efficiency by using the multiple objective genetic algorithm (MOGA), and a sample test case is presented to show the effects of optimizing the sequence with MOGA.

• Journal of the Korea Furniture Society
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• v.23 no.1
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• pp.47-56
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• 2012

This study particularly looked at educational philosophy and content of Design Academy Eindhoven in Holland which provides multidisciplinary design education. For it might be important data for examining the educational substance and directivity in design that help construct education system in design for a new era among the varying design paradigm. The biggest feature of DAE education system designed for students to optimize their ability with systematic education of 8 contexts with 4 approaches through innovative specialty system. Besides, their interaction helps students major in what is individual specialty. Most of all, the study on the contents of DAE's multidisciplinary education is expected to be significant data for our design education that lacks integrative perspective in the respect that students might be able to develop their identity as an individual designer in changing society beyond the mere technical and formative level of design.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.1-7
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• 2019

In this paper, we implemented a Wi-Fi based cluster system using raspberry pi for multidisciplinary education. The cluster implementation on the desktop was more difficult to maintain the complexity, big size, high price, power consumption as the number of nodes increased. In this paper, we implemented a cluster using Raspberry Pi, which is developed for educational purposes, to reduce the cost of connecting nodes. In addition, the complexity of system construction is reduced by replacing the connection between each node with Wi-Fi. Also, the inconvenience of configuration due to node increase was reduced. It is expected that the implementation of the cluster will be a good alternative in the educational environment where distributed processing and parallel processing are performed in the embedded environment. Also, it is confirmed that it can be applied to the multidisciplinary education.

• Journal of Mechanical Science and Technology
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• v.16 no.5
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• pp.609-618
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• 2002

In practical designs, most of the multidisciplinary problems have a large-size and complicate design system. Since multidisciplinary problems have hundreds of analyses and thousands of variables, the grouping of analyses and the order of the analyses in the group affect the speed of the total design cycle. Therefore, it is very important to reorder and regroup the original design processes in order to minimize the total computational cost by decomposing large multidisciplinary problems into several multidisciplinary analysis subsystems (MDASS) and by processing them in parallel. In this study, a new decomposition method is proposed for parallel processing of multidisciplinary design optimization, such as collaborative optimization (CO) and individual discipline feasible (IDF) method. Numerical results for two example problems are presented to show the feasibility of the proposed method.

• Korean Journal of Computational Design and Engineering
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• v.14 no.3
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• pp.207-216
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• 2009

Modern engineering design problems involve complexity of disciplinary coupling and difficulty of problem formulation. Multidisciplinary design optimization can overcome the complexity and design optimization software or frameworks can lessen the difficulty. Recently, a growing number of new multidisciplinary design optimization techniques have been proposed. However, each technique has its own pros and cons and it is hard to predict a priori which technique is more efficient than others for a specific problem. In this study, a software system has been developed to directly solve MDO problems with minimal input required. Since the system is based on MATLAB, it can exploit the optimization toolbox which is already developed and proven to be effective and robust. The framework is devised to change an MDO technique to another as the optimization goes on and it is called a reconfigurable MDO framework. Several numerical examples are shown to prove the validity of the reconfiguration idea and its effectiveness.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.25 no.5
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• pp.883-890
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• 2001

In practical design studies, most of designers solve multidisciplinary problems with large size and complex design system. These multidisciplinary problems have hundreds of analysis and thousands of variables. The sequence of process to solve these problems affects the speed of total design cycle. Thus it is very important for designer to reorder the original design processes to minimize total computational cost. This is accomplished by decomposing large multidisciplinary problem into several multidisciplinary analysis subsystem (MDASS) and processing it in parallel. This paper proposes new strategy for parallel decomposition of multidisciplinary problem to raise design efficiency by using genetic algorithm and shows the relationship between decomposition and multidisciplinary design optimization (MDO) methodology.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.29 no.3 s.234
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• pp.395-402
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• 2005

Recently Multidisciplinary Design Optimization Based on Independent Subspaces (MDOIS), an MDO (multidisciplinary design optimization) algorithm, has been proposed. In this research, an MDO problem is defined for design of a belt integrated seat considering crashworthiness, and MDOIS is applied to solve the problem. The crash model consists of an airbag, a belt integrated seat (BIS), an energy absorbing steering system, and a safety belt. It is found that the current design problem has two disciplines - structural nonlin- ear analysis and occupant analysis. The interdisciplinary relationship between the disciplines is identified and is addressed in the system analysis step in MDOIS. Interdisciplinary variables are belt load and stiffness of the seat, which are determined in system analysis step. The belt load is passed to the structural analysis subspace and stiffness of the seat back frame to the occupant analysis subspace. Determined design vari- ables in each subspace are passed to the system analysis step. In this way, the design process iterates until the convergence criterion is satisfied. As a result of the design, the weight of the BIS and Head Injury Crite- rion (HIC) of an occupant are reduced with specified constraints satisfied at the same time. Since the system analysis cannot be formulated in an explicit form in the current example, an optimization problem is formu - lated to solve the system analysis. The results from MDOIS are discussed.