• Title/Summary/Keyword: expansion and contraction

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Structure-Antagonistic Activity Relationships of an NK-2 Tachykinin Receptor Antagonist, L-659,877 and Its Analogues

  • Ha, Jong-Myung;Shin, Song-Yub;Hong, Hea-Nam;Suh, Duk-Joon;Jang, Tae-Sik;Kang, Shin-Won;Kuean, Sun-Jin;Ha, Bae-Jin
    • BMB Reports
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    • v.29 no.5
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    • pp.429-435
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    • 1996
  • To investigate the structure-antagonistic relationship of the cyclohexapeptide L-659,877, a selective NK-2 tachykinin receptor antagonist, seven analogues were chemically synthesized by a solid phase method. The agonistic and antagonistic activities of the analogues were evaluated by contraction assay using the smooth muscle of guinea pig trachea (GPT) containing the NK-2 receptor. It was shown that the aromatic ring of Phe at position 3 and the sulfur group of Met at position 6 in L-659,877 were essential for binding to the NK-2 receptor. Decrease in antagonistic activity of L-659,877 caused by substituting Leu for Nle at position 5 indicates that the ${\gamma}$ methyl group and side chain length of Leu plays an important role in its antagonistic action. Although the activity was slightly lower than L-659,877, cyclo $[{\beta}Ala^{8}]NKA(4-10)$ (analogue 1) showed potential antagonistic activity for the NK-2 receptor. It was confirmed that the expansion of the ring in L-659,877 by substitution of ${\beta}Ala$ for Gly at position 4 stabilized its conformation monitored by CD spectra. The results suggest that analogue 1 can be used as a new leader compound to design a more powerful, selective, and stable NK-2 receptor antagonist.

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Analysis of Japan's CPTPP Trade Effect Using Gravity Model (중력모형을 이용한 일본의 CPTPP 교역 효과 분석)

  • Jongin Kim;Seong-Hyuk Hwang
    • Journal of Industrial Convergence
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    • v.21 no.5
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    • pp.43-50
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    • 2023
  • The South Korean government announced its plan to pursue membership in the CPTPP in 2022, aiming to establish a stable supply chain within the Asia-Pacific region. The CPTPP, led by Japan, was ratified in 2018 by 11 countries with the goal of eliminating tariffs and establishing new trade rules. According to our analysis, since the implementation of the CPTPP, there has been a trade promotion effect among Japan and member countries, with greater effects observed in countries with higher GDP per capita and closer geographical distance. As long as tariff elimination and reduction proceed as planned, the trade promotion effects are expected to expand gradually. However, the expansion of trade between Japan and CPTPP member countries may also indicate a relative contraction in trade with non-member countries, potentially posing a threat to the stable supply chain in the Korean industry within the Asia-Pacific region. As Japan is Korea's fourth-largest trading partner, it is necessary to carefully consider the impact of CPTPP on Japan's future trade with member countries and engage in discussions regarding Korea's participation and negotiation content based on a thorough examination of the matter.

Developing the Joint Employment System of Occupational Nurse Practitioners for the Minor Enterprises in Korea (part 1) (보건관리자 공동채용 모형 개발 (I) -산업간호사 의견을 중심으로-)

  • Lee, Sung Eun;Kim, Young Im;Chun, Kyung Za;Kim, Hwa Joong
    • Korean Journal of Occupational Health Nursing
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    • v.7 no.1
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    • pp.97-114
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    • 1998
  • The occupational health services for the minor enterprises are poor comparing with that of large enterprises in Korea. In 1997, Korean government announced officially the law on joint employment system of occupational health practitioners to solve the problems. This study is to develop the model on the joint employment system of occupational nurse practitioners for minor enterprises in Korea based on the opinions of occupational health nurses (OH Ns). The data were collected by questionnares from October to November in 1997. The number of subjects was 210 occupational health nurses who had participated the mandatory nursing education program provided by the Korean Occupational Health Nurses Association(KOHNA). The response rate was 47.1%. The contents of questionnaires were general characteristics, occupational & job characteristics of OHNs, and the views on the joint employment system. The SAS-PC program was used for the statistical analysis. The results were as followed, (1) The proper number of industies was 3 and the appropriate number of workers was 448 for one joint employed occupational nurse practitioner (J EONP). (2) 44.7% of the OHNs wanted that the Ministry of Labor monitored the way and content of contraction b/w JEONP and minor emterprises, 82.6% of the OHNs wanted that KOHNA managed the employment informations. (3) The OHNs of occupational health agencies showed more positive attitude than the OHNs of private industries on the joint employment system. (4) 88.3% of the OHNs wanted the education training for JEONP. Especially in occupational hygiene and safety control. (5) The OHNs expected the role expansion of Occupational Health Nursing by JEONP system. At the same time they worried the adverse effects. For the successful execution of this system, it is necessary the cooperation among the Ministry of Labor, KOHNA, the minor enterprises, and the OHNs.

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An Experimental Study on Thermal Prestressing Method for Strengthening Concrete Bridge (콘크리트 교량의 보강을 위한 온도 프리스트레싱 공법의 실험적 연구)

  • Ahn, Jin-Hee;Kim, Jun-Hwan;Choi, Kyu-Tae;Kim, Sang-Hyo
    • Journal of the Korea Concrete Institute
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    • v.19 no.4
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    • pp.483-490
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    • 2007
  • Traditional external post-tensioning method using either steel bars or tendons is commonly used as a retrofitting method for concrete bridges. However, the external post-tensioning method has some disadvantages such as stress concentration at anchorages and inefficient load carrying capability regarding live loads. Thermal prestressing method is a newly proposed method for strengthening and rehabilitation of concrete girder bridges. Founded on a simple concept of thermal expansion and contraction of steel, the method is a hybrid method of external post-tensioning and steel plate bonding, combining the merits of two methods. In this paper, basic concepts of the method are presented and an illustrative experiment is introduced. From actual experimental data, the thermal prestressing effect is substantiated and the FEM approach for its analysis is verified.

Real Time Pothole Detection System based on Video Data for Automatic Maintenance of Road Surface Distress (도로의 파손 상태를 자동관리하기 위한 동영상 기반 실시간 포트홀 탐지 시스템)

  • Jo, Youngtae;Ryu, Seungki
    • KIISE Transactions on Computing Practices
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    • v.22 no.1
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    • pp.8-19
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    • 2016
  • Potholes are caused by the presence of water in the underlying soil structure, which weakens the road pavement by expansion and contraction of water at freezing and thawing temperatures. Recently, automatic pothole detection systems have been studied, such as vibration-based methods and laser scanning methods. However, the vibration-based methods have low detection accuracy and limited detection area. Moreover, the costs for laser scanning-based methods are significantly high. Thus, in this paper, we propose a new pothole detection system using a commercial black-box camera. Normally, the computing power of a commercial black-box camera is limited. Thus, the pothole detection algorithm should be designed to work with the embedded computing environment of a black-box camera. The designed pothole detection algorithm has been tested by implementing in a black-box camera. The experimental results are analyzed with specific evaluation metrics, such as sensitivity and precision. Our studies confirm that the proposed pothole detection system can be utilized to gather pothole information in real-time.

Performance of steel beams at elevated temperatures under the effect of axial restraints

  • Liu, T.C.H.;Davies, J.M.
    • Steel and Composite Structures
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    • v.1 no.4
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    • pp.427-440
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    • 2001
  • The growing use of unprotected or partially protected steelwork in buildings has caused a lively debate regarding the safety of this form of construction. A good deal of recent research has indicated that steel members have a substantial inherent ability to resist fire so that additional fire protection can be either reduced or eliminated completely. A performance based philosophy also extends the study into the effect of structural continuity and the performance of the whole structural totality. As part of the structural system, thermal expansion during the heating phase or contraction during the cooling phase in most beams is likely to be restrained by adjacent parts of the whole system or sub-frame assembly due to compartmentation. This has not been properly addressed before. This paper describes an experimental programme in which unprotected steel beams were tested under load while it is restrained between two columns and additional horizontal restraints with particular concern on the effect of catenary action in the beams when subjected to large deflection at very high temperature. This paper also presents a three-dimensional mathematical modelling, based on the finite element method, of the series of fire tests on the part-frame. The complete analysis starts with an evaluation of temperature distribution in the structure at various time levels. It is followed by a detail 3-D finite element analysis on its structural response as a result of the changing temperature distribution. The principal part of the analysis makes use of an existing finite element package FEAST. The effect of columns being fire-protected and the beam being axially restrained has been modelled adequately in terms of their thermal and structural responses. The consequence of the beam being restrained is that the axial force in the restrained beam starts as a compression, which increases gradually up to a point when the material has deteriorated to such a level that the beam deflects excessively. The axial compression force drops rapidly and changes into a tension force leading to a catenary action, which slows down the beam deflection from running away. Design engineers will be benefited with the consideration of the catenary action.

Demand Prediction of Furniture Component Order Using Deep Learning Techniques (딥러닝 기법을 활용한 가구 부자재 주문 수요예측)

  • Kim, Jae-Sung;Yang, Yeo-Jin;Oh, Min-Ji;Lee, Sung-Woong;Kwon, Sun-dong;Cho, Wan-Sup
    • The Journal of Bigdata
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    • v.5 no.2
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    • pp.111-120
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    • 2020
  • Despite the recent economic contraction caused by the Corona 19 incident, interest in the residential environment is growing as more people live at home due to the increase in telecommuting, thereby increasing demand for remodeling. In addition, the government's real estate policy is also expected to have a visible impact on the sales of the interior and furniture industries as it shifts from regulatory policy to the expansion of housing supply. Accurate demand forecasting is a problem directly related to inventory management, and a good demand forecast can reduce logistics and inventory costs due to overproduction by eliminating the need to have unnecessary inventory. However, it is a difficult problem to predict accurate demand because external factors such as constantly changing economic trends, market trends, and social issues must be taken into account. In this study, LSTM model and 1D-CNN model were compared and analyzed by artificial intelligence-based time series analysis method to produce reliable results for manufacturers producing furniture components.

An Experimental Study on the Durability of Concrete adding MgO-Type Expansive Agent (MgO를 혼합한 콘크리트의 내구특성 평가에 관한 실험적 연구)

  • Kim, Tae-Sang;Jang, Bong-Seok;Jung, Sang-Hwa;Kim, Joo-Hyung
    • Proceedings of the Korea Concrete Institute Conference
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    • 2008.11a
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    • pp.397-400
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    • 2008
  • MgO powder-mixed concrete, expanded at the lower temperature around $850{\sim}1000$ degree celcius, might have long-term expansibility, which could remunerate for the contraction of concrete with delayed expansion, and through the process, the crack resistance of mass concrete might be improved. Currently used expandable concrete additive has three different types : CSA, CaO and MgO. In this study, therefore, such tests as carbonation, chloride diffusivity, freezing-thawing resistance and sulfate resistance after 56 days' curing were implemented and compared the results with the concrete with no MgO mixed to evaluate the durability of 5% MgO-mixed concrete after longer period of time. The degree of hydration for the MgO-mixed cement paste was analyzed after 1 day, 3 days, 7 days, 28 days, and 56 days using SEM, XRD, DSC.

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Development and Application of an Explosion Modeling Technique Using PFC (PFC3D에서의 폭원모델링 기법의 개발 및 적용)

  • Choi Byung-Hee;Yang Hyung-Sik;Ryu Chang-Ha
    • Explosives and Blasting
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    • v.22 no.4
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    • pp.7-15
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    • 2004
  • An explosion modeling technique was developed by using the spherical discrete element code, PFC3D, which can be used to model the dynamic stress wave propagation phenomenon. The modeling technique is simply based on an idea that the explosion pressure should be applied to a PFC3D particle assembly not in the form of an external force (body force), but in the form of a contact force (surface force). According to this concept, the explosion pressure is applied to the wall particles by the scheme of radius expansion/contraction of inner-hole particles. The output wall force is compared to the input hole pressure in every time step, and a correction routine is activated to control the radius multiplier of the inner-hole particles. A comparative blast simulation far a cement mortar block of $80\times90\times80mm$ was conducted by using the conventional explosion modeling method and the new one. The results of the simulation are presented in a qualitative fashion.

A Weighted Fuzzy Min-Max Neural Network for Pattern Classification (패턴 분류 문제에서 가중치를 고려한 퍼지 최대-최소 신경망)

  • Kim Ho-Joon;Park Hyun-Jung
    • Journal of KIISE:Software and Applications
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    • v.33 no.8
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    • pp.692-702
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    • 2006
  • In this study, a weighted fuzzy min-max (WFMM) neural network model for pattern classification is proposed. The model has a modified structure of FMM neural network in which the weight concept is added to represent the frequency factor of feature values in a learning data set. First we present in this paper a new activation function of the network which is defined as a hyperbox membership function. Then we introduce a new learning algorithm for the model that consists of three kinds of processes: hyperbox creation/expansion, hyperbox overlap test, and hyperbox contraction. A weight adaptation rule considering the frequency factors is defined for the learning process. Finally we describe a feature analysis technique using the proposed model. Four kinds of relevance factors among feature values, feature types, hyperboxes and patterns classes are proposed to analyze relative importance of each feature in a given problem. Two types of practical applications, Fisher's Iris data and Cleveland medical data, have been used for the experiments. Through the experimental results, the effectiveness of the proposed method is discussed.