• Title/Summary/Keyword: Knowledge translation

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Physical Examination of Shoulder Instability (견관절 불안정성에 대한 이학적 검사)

  • Kim, Jae-Hwa
    • Clinics in Shoulder and Elbow
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    • v.11 no.1
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    • pp.1-5
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    • 2008
  • Shoulder instability is generally diagnosed from a detailed history, physical examination and various radiological studies. Although, a physical examination is essential for making a diagnosis, it is quite difficult. For a precise physical examination, a thorough anatomical knowledge and a great deal of experience is needed. In addition, normal translation and pathologic laxity should be differentiated. An anatomical and biomechanical understanding of a stable and unstable shoulder joint and a precise physical examination are needed to determine the direction and extent of the instability as well as to diagnose the associated lesions and improve the surgical results.

MicroRNAs and Lymph Node Metastasis in Papillary Thyroid Cancers

  • Mutalib, Nurul-Syakima Ab;Yusof, Azliana Mohamad;Mokhtar, Norfilza Mohd;Harun, Roslan;Muhammad, Rohaizak;Jamal, Rahman
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.1
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    • pp.25-35
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    • 2016
  • Lymph node metastasis (LNM) in papillary thyroid cancer (PTC) has been shown to be associated with increased risk of locoregional recurrence, poor prognosis and decreased survival, especially in older patients. Hence, there is a need for a reliable biomarker for the prediction of LNM in this cancer. MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene translation or degradation and play key roles in numerous cellular functions including cell-cycle regulation, differentiation, apoptosis, invasion and migration. Various studies have demonstrated deregulation of miRNA levels in many diseases including cancers. While a large number of miRNAs have been identified from PTCs using various means, association of miRNAs with LNM in such cases is still controversial. Furthermore, studies linking most of the identified miRNAs to the mechanism of LNM have not been well documented. The aim of this review is to update readers on the current knowledge of miRNAs in relation to LNM in PTC.

Design and implementation of a EER-based Visual Product Information Modeler (EER기반의 시각적 상품정보 모델링 에디터의 설계와 구현)

  • Tark, Moon-Hee;Kim, Kyung-Hwa;Shim, Jun-Ho
    • The Journal of Society for e-Business Studies
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    • v.12 no.3
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    • pp.97-106
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    • 2007
  • A core technology that may realize the Semantic Web is Ontology. The OWL (Web Ontology Language) has been positioned as a standard language. It requires technical expertise to directly represent the domain knowledge in OWL. Based on our experience of analyzing the fundamental relationships of concepts in e-catalog domain, we have developed a visual product information modeler called PROMOD. The modeling editor makes it possible to automatically generate the OWL codes for the given product information. We employ an Extended Entity-Relationship for conceptual modeling, enriched with modeling elements specialized for the product domain. In this paper, we present our translation schemes from EER model to OWL codes, and how to design and implement the modeling editor. We also provide a scenario to demonstrate the usage of the editor in practice.

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A Study on the Recognition, Satisfaction, and Revisit Intentions of Japanese Tourists based on Traditional Korean Foods (방한 일본관광객의 한국음식에 대한 인식, 만족도 및 재방문의도에 관한 연구)

  • Lee, Yeon-Jung
    • Korean journal of food and cookery science
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    • v.23 no.1 s.97
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    • pp.156-164
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    • 2007
  • This study investigated the impacts from the recognition and satisfaction of Korean foods on the revisit intentions of japanese tourists to Korea. The subjects of this study consisted of 365 Japanese tourists visiting Korea. The findings are summarized as follows: (1) the recognition of Korean food included 'the quality of food material is fresh and good'(3.99 pints), 'Korean food is nutritious and healthful food'(3.89 points), and 'Koran food consisted of grains and vegetables, and the cooking methods were developed specially'(3.88 points) in the order. (2) They were highly satisfied with the 'nutrition of the food,' 'taste of the food,' and 'quantity of the food,' in terms of the Korean food quality however, they were not satisfied with 'Japanese marks on ingredients,' 'sanitary,' 'smell,' and 'freshness.' (3) The most influential recognition variables to affect revisit intentions to Korea was 'health knowledge' followed by 'unique,' 'preference,' 'experience,' and 'interest.' (4) The most influential satisfaction variable to affect revisit intentions to Korea was 'food and menu' followed by 'translation and understanding,' and 'flavor and appearance.'

Senior Nursing Students' Perceived Competence of Intensive and Critical Care Nursing (일 대학 간호대학생이 지각한 중환자 간호 역량 조사)

  • Kim, Jin-il;Kim, Doo Ree;Lim, Hyo Nam
    • The Journal of Korean Academic Society of Nursing Education
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    • v.22 no.2
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    • pp.115-124
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    • 2016
  • Purpose: The purpose of this study was to examine the degree of intensive and critical care nursing competence in senior nursing students. Methods: The research method for this study comprised a descriptive survey study with a convenience sample of 113 senior nursing students from one university. The instrument entitled ICCN-CS-1, which measures intensive and critical care nursing competence, was translated by the authors following WHO guidelines for translation process. The data were collected using ICCN-CS-1. Results: The mean score of intensive and critical care nursing was above the intermediate level. The competence indices of knowledge, skill and attitude/value were also above the intermediate level, which suggests that their competence is good. For two intensive and critical care nursing domains, the nursing students' mean score of clinical competence is higher than that of professional competence. The competence of intensive and critical care is also influenced by nursing students' satisfaction in their major and clinical practice as well as their confidence in clinical practice. Conclusion: The senior nursing students' competence of intensive and critical care nursing is above the intermediate level. A consideration of the influencing factors of satisfaction of nursing major/ICU practice and confidence of ICU practice is needed in intensive and critical care nursing education.

Molecular Phylogeny and Morphology of Mycosphaerella nawae, the Causal Agent of Circular Leaf Spot on Persimmon

  • Lee, Seung-Yeol;Lim, Yang-Sook;Jung, Hee-Young
    • Mycobiology
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    • v.44 no.4
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    • pp.191-201
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    • 2016
  • In this study, the phylogeny and morphology of Mycosphaerella nawae (Dothideomycetes, Ascomycota) were examined using Korean and Japanese isolates, to establish the phylogenetic relationship between M. nawae and its allied species. Korean and Japanese isolates of M. nawae were collected from circular leaf spot-diseased leaves and were confirmed based on internal transcribed spacer (ITS) sequence data. Phylogenetic analysis was conducted using multiple genes, including the ITS region, 28S rDNA, ${\beta}-tubulin$, translation elongation $factor-1{\alpha}$, and actin genes. Our results revealed that M. nawae is closely related to members of the genus Phaeophleospora but are distant from the Ramularia spp. In addition, microscopic analysis revealed pseudothecia on the adaxial and abaxial surface of overwintered diseased leaves (ODL) and only on the abaxial surface of diseased leaves. Ascospores are oval to fusiform, one-septate, tapered at both ends, $1.7{\sim}3.1{\times}8.1{\sim}14.1{\mu}m$, and were observed in ODL. Conidia are oval, guttulate, one-septate, $3.5{\sim}4.9{\times}12.8{\sim}19.8{\mu}m$, and barely discernable on 30-day cultures. To our knowledge, this is the first report on the phylogeny of M. nawae, which is closely related to the genus Phaeophleospora, especially P. scytalidii.

A Case Study of Utilizing Twitter and Moodle for Teaching of Communication Strategies (의사소통 전략 교수를 위한 트위터와 무들 활용 사례 연구)

  • Cho, In Jung
    • Journal of Korean language education
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    • v.25 no.1
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    • pp.203-234
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    • 2014
  • This paper demonstrates how to incorporate the teaching of communication strategies into a large class of English-speaking learners of the Korean language. The method proposed here was developed to overcome the difficulty of conducting language activities involving communicative interactions amongst students and also between teacher and students in a large classroom. As a way of compensating the minimal opportunities for interactions in the classroom, students are given the task of expressing in Korean the English translations of authentic Korean comics via Twitter, which was later replaced with the feedback feature on Moodle, and then their Korean expressions are collected and projected onto a big screen. These collected expressions by students naturally differ from one another, helping students to realize that it is possible for them to express the same message or meaning in many different ways. The results of two separately conducted questionnaires show that this method is an effective way of providing students with significantly increased chances of producing 'comprehensible output' that requires them to think of how to communicate with their limited knowledge of the Korean language. Many students also commented that the teachers' feedback on errors provides them with the opportunity to learn about common errors as well as their own errors.

Automatic Mobile Screen Translation Using Object Detection Approach Based on Deep Neural Networks (심층신경망 기반의 객체 검출 방식을 활용한 모바일 화면의 자동 프로그래밍에 관한 연구)

  • Yun, Young-Sun;Park, Jisu;Jung, Jinman;Eun, Seongbae;Cha, Shin;So, Sun Sup
    • Journal of Korea Multimedia Society
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    • v.21 no.11
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    • pp.1305-1316
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    • 2018
  • Graphical user interface(GUI) has a very important role to interact with software users. However, designing and coding of GUI are tedious and pain taking processes. In many studies, the researchers are trying to convert GUI elements or widgets to code or describe formally their structures by help of domain knowledge of stochastic methods. In this paper, we propose the GUI elements detection approach based on object detection strategy using deep neural networks(DNN). Object detection with DNN is the approach that integrates localization and classification techniques. From the experimental result, if we selected the appropriate object detection model, the results can be used for automatic code generation from the sketch or capture images. The successful GUI elements detection can describe the objects as hierarchical structures of elements and transform their information to appropriate code by object description translator that will be studied at future.

Occurrence and Characterization of Leaf Spot Caused by Septoria melissae on Lemon Balm in Korea

  • Yang, Seon-Ah;Choi, In-Young;Ju, Ho-Jong;Lee, Kui-Jae;Galea, Victor;Shin, Hyeon-Dong
    • Mycobiology
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    • v.48 no.6
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    • pp.495-500
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    • 2020
  • Leaf spot on lemon balm is frequently observed in Korea, causing considerable damage to crops. In 2014 and 2015, the occurrence of leaf spot was observed in several production greenhouses at Suwon, Gongju, and Namwon in Korea. Symptoms on lower leaves initially developed as small, distinct, discolored lesions, which enlarged progressively turning into dark brown, angular spots surrounded by purplish-brown margins. Based on the morphological characteristics and sequence analysis of actin (ACT), translation elongation factor 1-alpha (EF-1α), internal transcribed spacer (ITS), 28S nrDNA (LSU), and RNA polymerase II second largest subunit (RPB2), the fungus associated with the lemon balm leaf spot was determined as Septoria melissae. To the best of our knowledge, this is the first report of lemon balm leaf spot caused by S. melissae in Asia as well as in Korea.

Few-Shot Content-Level Font Generation

  • Majeed, Saima;Hassan, Ammar Ul;Choi, Jaeyoung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.4
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    • pp.1166-1186
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    • 2022
  • Artistic font design has become an integral part of visual media. However, without prior knowledge of the font domain, it is difficult to create distinct font styles. When the number of characters is limited, this task becomes easier (e.g., only Latin characters). However, designing CJK (Chinese, Japanese, and Korean) characters presents a challenge due to the large number of character sets and complexity of the glyph components in these languages. Numerous studies have been conducted on automating the font design process using generative adversarial networks (GANs). Existing methods rely heavily on reference fonts and perform font style conversions between different fonts. Additionally, rather than capturing style information for a target font via multiple style images, most methods do so via a single font image. In this paper, we propose a network architecture for generating multilingual font sets that makes use of geometric structures as content. Additionally, to acquire sufficient style information, we employ multiple style images belonging to a single font style simultaneously to extract global font style-specific information. By utilizing the geometric structural information of content and a few stylized images, our model can generate an entire font set while maintaining the style. Extensive experiments were conducted to demonstrate the proposed model's superiority over several baseline methods. Additionally, we conducted ablation studies to validate our proposed network architecture.