• Journal of Fisheries and Marine Sciences Education
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• v.27 no.4
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• pp.948-962
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• 2015

The purpose of this study was to inquiry of outcomes and challenges of Meister high school' and specialized vocational high school' teachers and industrial workers on problem solving ability domain of test for enhanced employ ability & upgraded proficiency, and what were outcomes and challenges of main factor by Meister high school and specialized vocational high school' teachers and industrial workers. Research subjects and region were teachers of Meister high schools and specialized vocational high schools in Gyeongsangnamdo and industrial workers in Gyeonggido. The sample(N=147) was drawn from Meister high school' teachers(N=90), specialized vocational high school' teachers(N=25) and industrial workers(N=32), and collected data were analyzed with SPSS using average, standard deviation, cross analysis, verification F. The results are as follows: The biggest outcomes of problem solving ability domain of test for enhanced employ ability & upgraded proficiency was change of educational direction for promoting core competency on specialized high school & Meister High School's students. The biggest positive ripple effects of the outcomes was also change of educational direction for promoting core competency on specialized high school & Meister High School's students. The biggest challenges of problem solving ability domain of test for enhanced employ ability & upgraded proficiency was importance of challenges was expansion of teacher training and lecture on the Test for Enhanced Employ ability & Upgraded Proficiency.

• Journal of Fisheries and Marine Sciences Education
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• v.26 no.3
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• pp.597-610
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• 2014

The purpose of this study was to inquiry of influence of Meister high school and specialized vocational high school' students on career maturity in problem solving ability domain of test for enhanced employ ability & upgraded proficiency. Research subjects and region were sophomore students of each one of Meister high schools and specialized vocational high schools in Gwangju region. The sample(N=481) was drawn from 2 high schools and collected data were analyzed with SPSS using t-test, Pearson correlation and Levene's test. Items of problem solving ability domain of test for enhanced employ ability & upgraded proficiency were used test items developed in 2012. Career maturity test in Careernet site was used test items developed in 2001 which was made up 3 domains such as attitude, ability and action and 8 sub-regions such as planning, attitude on the vocation, independence, self-understanding, rational decision-making, explore of information, knowledge of hope vocation and career exploration and preparation of action, and constituted 64 items. The results were as follows. Findings of the analysis in specialized vocational high school students demonstrated the positive results of rational decision-making and explore of information in problem solving ability test for enhanced employ ability & upgraded proficiency. Comparing career maturity influence on Meister high school with specialized vocational high school students about problem solving ability domain of test for enhanced employ ability & upgraded proficiency, Meister high school students' score were more high grade than specialized vocational high school students grade.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.3
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• pp.770-782
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• 2015

The purpose of this study was to inquiry of perception of Meister high school and specialized vocational high school' teachers and students on problem solving ability domain of test for enhanced employ ability & upgraded proficiency. Research subjects and region were teachers and sophomore students of each one of Meister high schools and specialized vocational high schools in Gyeongsangnamdo and Gwangju region. The questionnaire was composed of 4 research areas. Research areas were demographic characteristics, questions aspects, operational and enforcement aspects and side support for the development of test for enhanced employ ability & upgraded proficiency. Teachers questionnaire were composed of 15 items and students questionnaire were composed of 8 items. Further the research were interviewed research and targets were teachers and students of Meister high school and specialized vocational high school. The samples(N=719) of teachers and students were drawn from 2 high schools and collected data were analyzed with SPSS. The results were as follows. Perception of Meister high school students regarded more items of test for enhanced employ ability & upgraded proficiency as appropriate than specialized vocational high school students. Perception of Meister high school students regarded more CBT system as appropriate than specialized vocational high school students. Perception of specialized vocational high school teachers regarded more items of level of difficulty, degree of completion, validity than Meister high school teachers.

• Molecules and Cells
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• v.19 no.2
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• pp.223-227
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• 2005

We have identified TMPRSS6, a novel type 2 transmembrane serine protease. TMPRSS6 possesses all the signature motifs of the family of transmembrane serine proteases (TMPRSSs), including a transmembrane domain, an LDL receptor class A (LDLRA) domain, a scavenger receptor cysteine-rich (SRCR) domain, and a serine protease domain. The substrate specificity of TMPRSS6 is slightly different from those of other TMPRSS family members. Combined with the finding that TMPRSS6 is expressed strongly in the thyroid and weakly in the trachea, this may indicate that TMPRSS6 has a specialized role.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.189-197
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• 2022

Today, we are exposed to various text-based media such as newspapers, Internet articles, and SNS, and the amount of text data we encounter has increased exponentially due to the recent availability of Internet access using mobile devices such as smartphones. Collecting useful information from a lot of text information is called text analysis, and in order to extract information, it is performed using technologies such as Natural Language Processing (NLP) for processing natural language with the recent development of artificial intelligence. For this purpose, a morpheme analyzer based on everyday language has been disclosed and is being used. Pre-learning language models, which can acquire natural language knowledge through unsupervised learning based on large numbers of corpus, are a very common factor in natural language processing recently, but conventional morpheme analysts are limited in their use in specialized fields. In this paper, as a preliminary work to develop a natural language analysis language model specialized in the railway field, the procedure for construction a corpus specialized in the railway field is presented.

• Journal of Information Technology Applications and Management
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• v.10 no.2
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• pp.33-41
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• 2003

It is not easy to find desired information in the world wide web. In this research, we introduce a notion of concept network that is useful in finding information if it is used in search engines that are specialized in domains such as medicine, law or engineering. The concept network that we propose is a network in which nodes represent significant concepts in the domain, and links represent relationships between the concepts. We may use the concept network constructor as a preprocessor to speci-alized search engines. When user enters a target word to find information, our system generates and displays a concept network in which nodes are con-cepts that are closely related with the target word. By reviewing the network, user may confirm that the target word is properly selected for his intention, otherwise he may replace the target word with better ones discovered in the network. In this research, we propose a detailed method to construct concept net-work, implemented a prototypical system that constructs concept networks, and illustrate its usefulness by demonstrating a practical case.

• Asian Journal of Innovation and Policy
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• v.13 no.1
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• pp.1-28
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• 2024

Enhancing the efficiency of research and development (R&D) is crucial for organizations to remain competitive and generate innovative solutions. Data Envelopment Analysis (DEA) has emerged as a powerful tool for evaluating R&D efficiency. However, traditional DEA models heavily rely on the selection of input and output variables, which can limit their effectiveness. To overcome this dependency and improve the robustness of DEA, this study proposes a novel methodology that integrates machine learning techniques with DEA for determining the most suitable input and output variables. The proposed approach is particularly relevant for specialized R&D fields, such as Radiation Emergency Medicine (REM). REM is a critical domain that deals with the medical and public health consequences of nuclear emergencies. The selection of REM as the focus of this study is motivated by several factors, including the unique challenges posed by the field, the potential for significant societal impact, and the need for efficient resource allocation in emergency situations. By leveraging machine learning algorithms, such as Support Vector Machines (SVM), the proposed methodology aims to identify the most relevant input and output variables for DEA in the context of REM. The integration of machine learning enables the DEA model to capture complex relationships and non-linearities in the data, leading to more accurate and reliable efficiency assessments. The effectiveness of the proposed methodology is demonstrated through a comprehensive evaluation using real-world REM data. The results highlight the superior performance of the machine learning-integrated DEA approach compared to traditional DEA models. This study contributes to the advancement of R&D efficiency assessment in specialized fields and provides valuable insights for decision-makers in REM and other critical domains.

• Child Health Nursing Research
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• v.25 no.2
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• pp.143-153
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• 2019

Purpose: The purpose of this study was to examine the frequency, perceived importance and competence of pediatric emergency nursing practice (PENP) in nurses who cared for pediatric patients in the emergency department. Methods: This cross-sectional descriptive study analyzed 175 emergency department nurses caring for pediatric patients at 7 university hospitals with more than 500 beds, located in Seoul and Gyeonggi Province. The measurement tool was modified from the Classification of Standard Nursing Activities to measure the frequency, importance of PENP, and nursing competence. It comprised 143 items in 16 domains of PENP. Results: The most frequent nursing practice was the domain of 'nursing records and environmental management' and the least frequent practice was the 'research and consulting' domain. The nursing care domain perceived to be most important by nurses was 'specialized intensive nursing care'. The nursing care domain with the highest level of nursing competence was 'hygiene care', and the domain with the least level of nursing competence was the 'research and consulting'. Conclusion: These results will be utilized as basic data for future pediatric emergency nursing education initiatives and for establishing priorities of nursing policy to improve health care for children admitted to the emergency department.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1994.04a
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• pp.653-659
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• 1994

Human experts have the various own knowledges to be applied in specialized domains. The fact that knowledge itself becomes more critical in the context of textile knowledge with rapid development of new fibers, automated equipments, processes and applications. Diversity of worsted spun yarns, lack of human expertise, and inconsistency among manually generated process plans in consequency of adjustment machine parameters owing to change up raw materials frequently increase the necessity of developing computer aided process planning(CAPP) systems for spinning process. Expert systems offer one of techniques to develop CAPP systems which would behave in a knowledgeable manner. Expert systems are the problem-solving computer program that can reach a level of performance comparable to that of a human expert in some specialized problem domain. This paper is described as job justification module. The job justification module performs to consult with users on which worsted spun yarn manufacturing process planning under the various factors, e.g., raw materials, machine parameters and required yarn counts. Also, the developed module informs the various knowledges relevant process planning. The job justification module offers the control parameters at each process and includes the various standard process plans as database. These knowledges are generated by facts and rules within rule bases.

• Molecules and Cells
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• v.40 no.4
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• pp.243-253
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• 2017

Eukaryotic cilia are organelles that project from the surface of cells to fulfill motility and sensory functions. In vertebrates, the functions of both motile and immotile cilia are critical for embryonic development and adult tissue homeostasis. Importantly, a multitude of human diseases is caused by abnormal cilia biogenesis and functions which rely on the compartmentalization of the cilium and the maintenance of its protein composition. The transition zone (TZ) is a specialized ciliary domain present at the base of the cilium and is part of a gate that controls protein entry and exit from this organelle. The relevance of the TZ is highlighted by the fact that several of its components are coded by ciliopathy genes. Here we review recent developments in the study of TZ proteomes, the mapping of individual components to the TZ structure and the establishment of the TZ as a lipid gate.