• 제목/요약/키워드: art ability

검색결과 371건 처리시간 0.023초

CO2를 고정하는 화학독립영양미생물인 Aeromonas sp. strain JS-1의 Form I Ribulose-1,5-Bisphosphate Carboxylase/Oxygenase 정제 및 특성 파악 (Form I Ribulose-1,5-Bisphosphate Carboxylase/Oxygenase from CO2-Fixing Chemoautotrophic bacterium, Aeromonas sp. strain JS-1: Purification and Properties)

  • 나숙현;배상옥;정수정;정선용
    • KSBB Journal
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    • 제25권6호
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    • pp.559-564
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    • 2010
  • A new hydrogen-oxidizing bacterium, Aeromonas sp. strain JS-1, that can fix $CO_2$ via the reductive pentose phosphate cycle (Calvin-Benson cycle) under chemoautotrophic conditions but not photoautotrophic conditions was isolated from fresh water. Strain JS-1 showed considerable $CO_2$ fixation ability during continuous cultivation even at high $CO_2$ concentration. Strain JS-1 used $H_2$ and $CO_2$ fixation as energy and carbon sources, respectively. Carbon dioxide fixation is carried out through the Calvin-Benson cycle, in which ribulose-1,5-bisphosphate carboxylase/oxygenase (RubisCO) is the key enzyme. Hydrogen-oxidizing chemoautotrophic Aeromonas sp. strain JS-1 exhibited remarkedly strong RubisCO [EC 4.1.1.39] activity. RubisCO was purified as an $L_8S_8$-type hexadecamer with molecular mass of 560 kDa by gel filtration. The enzyme consisted of two different subunits eight large (56 kDa) and eight small (15 kDa), as demonstrated by SDS-PAGE. The specific activity of the purified enzyme was about 3.31 unit/mg and stable up to $45^{\circ}C$. The $K_m$ values for RuBP, $CO_2$, and $Mg^{2+}$ were estimated to be 0.25 mM, 5.2 mM and 0.91 mM, respectively.

일본에서의 토목${\cdot}$건설 지반조사를 위한 물리탐사 활용 현황 (The State-of-the-Art of Geophysical Exploration Technology applied to Site Characterization in Civil Engineering and Construction in Japan)

  • 박삼규;김희준
    • 한국지구물리탐사학회:학술대회논문집
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    • 한국지구물리탐사학회 1999년도 제2회 학술발표회
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    • pp.1-20
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    • 1999
  • 일본에서는 오래 전부터 물리탐사 기술을 토목${\cdot}$건설분야에 널리 활용해왔다. 특히 굴절법 탄성파탐사는 지반조사법으로 이미 확립되었다고 해도 과언이 아닐 정도로 산악 터널, 댐, 산사태 등의 조사에 주로 사용되었다. 그러나 사회의 가치관의 변화와 환경문제가 대두되면서 사용되는 물리탐사기술 및 그 적용범위가 많이 다양해졌다. 그리고 컴퓨터를 비롯한 디지털기술의 발달에 힘입어 측정기술과 해석기술이 발전함에 따라 짧은 시간에 대량의 데이터를 측정할 수 있으며, 객관성과 신뢰성이 높은 해석결과를 얻을 수 있게 되었다. 또한 지반의 가시화기술로 탐사결과를 보다 알기 쉽게 영상화할 수 있게 되었다. 최근에는 지반개량 효과의 판정, 터널 막장의 전방탐사, 지하수의 거동, 오염 및 정화 과정의 모니터링 등에 관한 물리탐사기술이 눈부시게 발전하고 있으며, 자연재해 방지를 위한 지반조사에도 널리 사용되고 있다. 현재는 3차원의 물리탐사 기술이 완성단계에 이르러 이의 토목${\cdot}$건설분야에 대한 활용이 눈앞에 와 있다.

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김치조리법 인지 여부에 따른 한식식사패턴 및 바른식생활 실천에 관한 연구 - 2014 국민식생활실태조사 결과를 토대로 - (The Study on Dietary Patterns of Korean food and the Level of Proper Eating Habits According to the Recognition of the Kimchi Cooking Method - Based on the Result of 2014 National Dietary Survey -)

  • 김주현
    • 한국식생활문화학회지
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    • 제32권6호
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    • pp.465-475
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    • 2017
  • Purpose: This study investigated the dietary patterns associated with Korean food and the level of proper eating habits according to recognition of the Kimchi cooking method, and aimed to suggest the necessity of dietary education of traditional foods such as Kimchi. Methods: Based on the results of the national dietary survey conducted in 2014 by Ministry of Agriculture, Food and Rural Affairs of Korea, a total of 1200 subjects were classified into two groups, one that knew how to make Kimchi (53.8%) and another that did not (46.2%). Results: The group that knew how to make Kimchi (FG) showed significantly higher scores in knowledge of how to cook most types of Korean foods and traditional fermented foods than the other group (NG). Moreover, FG showed significantly higher scores in regularity in meals and a higher frequency of Korean foods such as rice, Kimchi, and grilled or stewed food, while it showed significantly lower scores in dietary risk factors than NG. In addition, FG showed significantly higher scores in dietary education interest and number of meals with family during the week than NG. Finally, FG had significantly higher scores in the degrees of practice of all eight items related to proper eating habits. Conclusion: Since recognition of Kimchi cooking has a great influence on maintenance of dietary life, dietary education to improve the cooking ability of traditional foods should be further strengthened.

Differentiation of Human Mesenchymal Stem Cells towards Neuronal Lineage: Clinical Trials in Nervous System Disorders

  • Hernandez, Rosa;Jimenez-Luna, Cristina;Perales-Adan, Jesus;Perazzoli, Gloria;Melguizo, Consolacion;Prados, Jose
    • Biomolecules & Therapeutics
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    • 제28권1호
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    • pp.34-44
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    • 2020
  • Mesenchymal stem cells (MSCs) have been proposed as an alternative therapy to be applied into several pathologies of the nervous system. These cells can be obtained from adipose tissue, umbilical cord blood and bone marrow, among other tissues, and have remarkable therapeutic properties. MSCs can be isolated with high yield, which adds to their ability to differentiate into non-mesodermal cell types including neuronal lineage both in vivo and in vitro. They are able to restore damaged neural tissue, thus being suitable for the treatment of neural injuries, and possess immunosuppressive activity, which may be useful for the treatment of neurological disorders of inflammatory etiology. Although the long-term safety of MSC-based therapies remains unclear, a large amount of both pre-clinical and clinical trials have shown functional improvements in animal models of nervous system diseases following transplantation of MSCs. In fact, there are several ongoing clinical trials evaluating the possible benefits this cell-based therapy could provide to patients with neurological damage, as well as their clinical limitations. In this review we focus on the potential of MSCs as a therapeutic tool to treat neurological disorders, summarizing the state of the art of this topic and the most recent clinical studies.

의류수출업체의 3D 디자이너 직무에 대한 질적 연구 (A Qualitative Study on 3D Designer Jobs in Fashion Vendors)

  • 최영림
    • 한국의류산업학회지
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    • 제23권4호
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    • pp.504-514
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    • 2021
  • This study attempted to extract and structure the job skills required for 3D designers, which have been recently introduced to the fashion industry. The study aimed to materialize and objectify the 3D designer's job, using a focus group interview for the survey. The 3D designer has the TD task of making 3D virtual samples using the pattern files developed in Pattern CAD. Graphic design and fabric digitization are also major tasks for the 3D designer. CLO is mainly used for 3D virtual sample production, and PixPlant, Substance, Photoshop, Cinema 4D, Daz studio, and 3ds MAX are used for image and avatar editing. As per the job skills required for 3D design work, basic knowledge about patterns and sewing, skill in 3D virtual clothing technology, ability to use various software, and English skills were considered important, in that order. In particular, the need for knowledge about patterns and sewing became more important than the skill in 3D virtual clothing technology itself. To train 3D designers, it was found that not only 3D virtual clothing software, but also education on patterns and clothing construction, CAD developer's curriculum certification system, and 3D designer qualification management were required. In addition, 3D designers are recognized as an essential job in fashion vendors, and the demand for domestic brands is increasing. The biggest limitation of the 3D virtual clothing system is the perfection of the digital fabric. Also, technical improvement is needed.

대학원 수업방법으로서 메이커 교육의 가능성 탐색 (Exploring of the Maker Education in Graduate School)

  • 김진희
    • 예술인문사회 융합 멀티미디어 논문지
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    • 제9권4호
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    • pp.1-10
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    • 2019
  • 이 연구는 수업모델로서 메이커 교육을 대학원수업 사례에 두고 탐색하는데 있다. 학습자중심으로 교육 패러다임이 변화되면서 대학원교육에서도 수업혁신을 위한 한 방법으로 모델중심 수업에 대한 관심이 증가하고 있다. 메이커 교육은 학습자를 적극적인 아이디어 생산자이면서 창조자이자 발명가로서의 개인 및 동료들 간의 자발적 공유와 나눔 활동에 주목하여 메이커 활동이 지닌 교육적 가치를 탐색하고 있다. 메이커운동이 가지는 개인적 가치(자기주도성, 창의력, 자신감, 즐거움 등)와 환경적 가치(IT 활용, 민주적 접근성, 소통, 공유, 공감 등)가 복합적으로 확인됨에 따라 이러한 메이커 운동이 가지는 교육적 의미와 가치를 반영한 교수학습 방법이 요구된다. 이러한 맥락에서 본 연구는 대학원 학생들이 개인 연구역량 향상을 위해 수행한 메이커 교육에 대한 과정의 경험을 융합연구 과정의 글쓰기에 초점을 두고 개별 프로젝트를 수행하였으며, 이를 통해 연구역량과 개인적 경험을 내용 분석하였다. 메이커 교육을 통해 창작자로서 자신의 글쓰기가 변화되는 과정을 성찰하였으며, 동료와의 공유와 비평을 통해 연구역량을 강화할 수 있었다는 점을 긍정적 학습경험으로 평가하고 있다.

열 펌으로 형성된 웨이브 모발의 거칠기 분석 (Analysis of roughness of wave hair formed by thermal perm)

  • 박장순;임순녀
    • 한국융합학회논문지
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    • 제12권7호
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    • pp.235-241
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    • 2021
  • 헤어미용을 통한 외모 관리는 미용산업의 근간(根幹)을 이루면서 열을 이용한 퍼머넌트 웨이브는 헤어살롱에서 많이 시술되고 있지만, 열 퍼머넌트 웨이브 시술로 인한 모발 손상은 불가피한 현실이다. 따라서 모발 웨이브 형성력을 더욱 높일 수 있고 고객의 모발 손상을 최소화할 수 있는 열 퍼머넌트 웨이브에 대한 효율적인 방안을 제시할 목적으로 본 연구를 진행하였다. 후두부의 버진 헤어를 채취하여 thermal rod pretreatment and thermal permanent wave treatment를 한 후, Atomic Force Microscope를 통한 모발 거칠기 분석과 3D-image를 연구하였다. 연구 결과 평균 거칠기(Ra)와 십점 평균 거칠기(Rz) 모두 4구간이 각각 223nm와 853nm로 산출되면서 가장 높은 수치를 나타냈다. 실험 데이터의 표본이 적은 한계성을 지니고 있으나 본 연구를 통해 웨이브 형성력을 더욱 상승시킬 수 있으며, 고객 모발의 큐티클 보호와 함께 모발 손상을 최소화할 수 있는 열 퍼머넌트 웨이브에 대한 객관적인 방안 제시가 현실적으로 가능해질 것으로 판단한다.

Reversible Sub-Feature Retrieval: Toward Robust Coverless Image Steganography for Geometric Attacks Resistance

  • Liu, Qiang;Xiang, Xuyu;Qin, Jiaohua;Tan, Yun;Zhang, Qin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권3호
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    • pp.1078-1099
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    • 2021
  • Traditional image steganography hides secret information by embedding, which inevitably leaves modification traces and is easy to be detected by steganography analysis tools. Since coverless steganography can effectively resist steganalysis, it has become a hotspot in information hiding research recently. Most coverless image steganography (CIS) methods are based on mapping rules, which not only exposes the vulnerability to geometric attacks, but also are less secure due to the revelation of mapping rules. To address the above issues, we introduced camouflage images for steganography instead of directly sending stego-image, which further improves the security performance and information hiding ability of steganography scheme. In particular, based on the different sub-features of stego-image and potential camouflage images, we try to find a larger similarity between them so as to achieve the reversible steganography. Specifically, based on the existing CIS mapping algorithm, we first can establish the correlation between stego-image and secret information and then transmit the camouflage images, which are obtained by reversible sub-feature retrieval algorithm. The received camouflage image can be used to reverse retrieve the stego-image in a public image database. Finally, we can use the same mapping rules to restore secret information. Extensive experimental results demonstrate the better robustness and security of the proposed approach in comparison to state-of-art CIS methods, especially in the robustness of geometric attacks.

무용학원 활성화를 위한 이용자의 중요도 및 만족도 분석 (An Analysis of the Importance and Satisfaction of Users for the Activation of a Dance Academy)

  • 박종임
    • 한국엔터테인먼트산업학회논문지
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    • 제15권1호
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    • pp.75-85
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    • 2021
  • 무용학원 이용자들이 무용학원 이용 및 선택 시 중요도와 만족도를 알아보고 이를 기초자료로 활용하여 무용학원 활성화방안에 도움을 주고자 G광역시의 12개 무용학원을 이용하는 213명을 대상으로 IPA 통계적 방법을 이용하여 설문조사를 실시한 후 다음과 같은 결론을 얻었다. IPA분석별 무용학원 중요도는 지도자 전문성, 무용이용 장비의 청결성, 교통접근성, 무용학원 이용비용, 지도자 친절성 등의 순위로 나타났고, 만족도는 지도자 전문성, 무용프로그램 다양성, 지도자 작품구성능력, 지도자 친절성, 교통접근성 등의 순위로 나타났다. 이상 연구결과 무용학원 선택 시 이용자들이 중요하게 느끼는 요인은 직접적인 레슨을 실시하는 지도자의 전문성과 친절 및 학원이용비용, 코로나 19시대를 경험하면서 학원장비의 청결성을 중요하다 하였고, 이용에 따른 만족도는 지도자와 관련된 요인과 학원 교통접근성에서 높은 만족도를 보였다. 이에 무용학원활성화를 위하여 전문적이고, 친절성을 겸비한 지도자와 청결하고 위생적인 환경으로 학원을 관리한다면 무용학원의 활성화가 이루어질 것으로 생각된다. 또한 무용학원 외 학원들에게도 이와 같은 방법을 적용하여 연구가 진행된다면 사설학원들의 활성화에도 도움이 될 것이다.

DATCN: Deep Attention fused Temporal Convolution Network for the prediction of monitoring indicators in the tunnel

  • Bowen, Du;Zhixin, Zhang;Junchen, Ye;Xuyan, Tan;Wentao, Li;Weizhong, Chen
    • Smart Structures and Systems
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    • 제30권6호
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    • pp.601-612
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    • 2022
  • The prediction of structural mechanical behaviors is vital important to early perceive the abnormal conditions and avoid the occurrence of disasters. Especially for underground engineering, complex geological conditions make the structure more prone to disasters. Aiming at solving the problems existing in previous studies, such as incomplete consideration factors and can only predict the continuous performance, the deep attention fused temporal convolution network (DATCN) is proposed in this paper to predict the spatial mechanical behaviors of structure, which integrates both the temporal effect and spatial effect and realize the cross-time prediction. The temporal convolution network (TCN) and self-attention mechanism are employed to learn the temporal correlation of each monitoring point and the spatial correlation among different points, respectively. Then, the predicted result obtained from DATCN is compared with that obtained from some classical baselines, including SVR, LR, MLP, and RNNs. Also, the parameters involved in DATCN are discussed to optimize the prediction ability. The prediction result demonstrates that the proposed DATCN model outperforms the state-of-the-art baselines. The prediction accuracy of DATCN model after 24 hours reaches 90 percent. Also, the performance in last 14 hours plays a domain role to predict the short-term behaviors of the structure. As a study case, the proposed model is applied in an underwater shield tunnel to predict the stress variation of concrete segments in space.