• Title/Summary/Keyword: Labeling Method

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A Study on the Awareness of Female-Consumers for Nutrition Labeling System (영양표시 제도에 대한 여성소비자 인식에 관한 연구)

  • Joo, Na-Mi;Yoon, Ji-Young;Kim, Ok-Sun;Park, Sang-Hyun;Ko, Young-Joo;Kim, Ji-Youn
    • Journal of the Korean Society of Food Culture
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    • v.21 no.2
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    • pp.209-215
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    • 2006
  • This study had carried out to investigate the usage status of customer, the positive effects and problems, and the most important items of the nutrition labeling at purchasing the food etc. on the current nutrition labeling system in order to establish the customer-centric nutrition labeling system. Survey was carried out by questionnaire method that is targeted on adult female above 20 years old in Seoul and Kyeongnam area from May to June, 2004. For the experience of checking the nutrition label of the processed domestic and imported processed food, 82% and 75.4% of the respondents were replied 'have checked' respectively. For the positive effects due to enforcement of the nutrition labeling system, the respondents agreed highly with 'easy to compare with other products' and 'improve the products quality'. For the problems of the nutrition labeling system, the respondents agreed highly with 'different criteria for each product' and 'incendiary purchasing due to false or exaggerated labeling', and gave the higher scale for the positive effects than the problems relatively. For the necessity of the nutrition labeling system, 96.2% of the respondents were replied 'necessary', and it was indicated a significant difference on age and marital status(p<.01). For the price rising due to enforcement of the nutrition labeling system, 55.2% of respondents agreed, and it was indicated a very significant difference on age and monthly income(p<.001). For the most important nutrition labeling items at purchasing the food, the respondents were replied 'total calorie' on most of the food, and in addition, they checked carefully the lipid, cholesterol, protein, Ca, and Fe.

Polymer Formation and Altered Biodistribution of IgG Labeled with $^{99m}Tc$ and Cyclic DTPA (항체의 Cyclic DTPA를 이용한 $^{99m}Tc$ 표지시 Polymer 형성과 체내 동태 변화)

  • Lim, Sang-Moo;Woo, Kwang-Sun;Chung, Wee-Sup;Awh, Ok-Doo
    • The Korean Journal of Nuclear Medicine
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    • v.27 no.2
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    • pp.270-276
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    • 1993
  • $Technetium-^{99m}$ labeling method using bifunctional chelating agent cyclic DTPA has been evaluated with human polyclonal nonspecific IgG. IgG was conjugated with cyclic DTPA with various molar ratio. Reduction of $^{99m}Tc$ was done with $Na_2S_2O_4$ with various molar excess. Labeling efficiency and identification of polymer was confirmed with HPLC using TSK4000 SW column. Polymer was purified with 100 cm Sepharose 6LB column. Cultured $1{\times}10^9$ Staphylococcus aureus were injected into rat thigh 24 hours later labeled IgG was injected, and in vivo distribution was observed 4 and 24 hours thereafter. Reduction of $^{99m}Tc$ was optimal with the 10000-50000 times molar excess of $Na_2S_2O_4$. Polymer formation increased with increasing mloar excess of cyclic DTPA to IgG. Three step labeling-labeling DTPA conjugated IgG after reduction of $^{99m}Tc$-made more polymer than two two step labeling-simultaneous mixing DTPA conjugated IgG, $^{99m}Tc$ and $Na_2S_2O_4$. $^{99m}Tc$ blood clearance and lower uptake in the abscess and other organs. IgG conjugated with 200 times molar excess of cyclic DTPA showed slower blood clearance with 200 times molar excess of cyclic DTPA showed slower blood clearance than that of 200 times molar excess of cyclic DTPA showed slower blood clearance than that of 20 times molar excess. In the $^{99m}Tc$ labeling of IgG with cyclic DTPA for the immunoscintigraphy, obtimal labeling condition should be chosen, and effect of the $^{99m}Tc$ labeled IgG polymer should be considered.

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Nutritional Labeling Practices for Processed Foods According to Food Category (식품유형별 시판 가공식품의 영양표시 실태조사)

  • O, Se-In;Kim, Ok-Seon;Jang, Yeong-Ae
    • Journal of the Korean Dietetic Association
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    • v.13 no.2
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    • pp.123-137
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    • 2007
  • The purpose of this study was to investigate the current nutritional labeling practices in the processed foods industry. Package labels provide consumers with reliable nutritional information, which has been considered a useful aid for food selection and a potent educational tool for nutrition in a daily life. To assess the nutritional composition labeling and nutritional claims on the food package labels in the Korean market, 2,691 processed foods were purchased from a wholesale market in August, 2004, under the food categories specified in the 2004 Food Code. Nutritional composition labels were found on 674 out of the 2,691 processed foods items. The study findings were as follows. Milk and dairy products showed the highest percentage(56.6%) of nutritional composition labeling among the food categories, while 86.2% of processed foods carried inappropriate types of nutrition labels. The title of nutritional composition labeling was ordered according to the nutritional composition presented on the top part of the box. The regulations method which it indicates was 77.8%. The expression unit of the nutritional composition labeling was per 100g(32.8%) or per OOg (29.4%). Of total processed foods, 83(3.1%) offered nutritional claims in their labels. These claims were divided into two ways: nutrient content claims and nutrient comparative claims. The most frequently used term in nutrient content claims was "contained"(67.2%). "More" or "Plus" were frequently used term in nutrient comparative claims(11.2%). Calcium was the most popular among nutrients claimed by processed foods(34.3%).

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Ultrastructural antigenic localization in Paragonimus iloktsuenesis during developmental stage by immunogold labeling method (면역황금표지법에 의한 일록춘폐흡충의 발육단계별 항원성부위)

  • 김훈식;이옥란
    • Parasites, Hosts and Diseases
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    • v.33 no.4
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    • pp.365-376
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    • 1995
  • Antigenic localization in Parofonimn iloktsuenensis worm tissues (tegument, intestine and vitelline gland) in different developmental stages of 2 weeks, 3 weeks, 4 weeks, 5 weeks and 33 weeks from albino rats (Sprague-Dawley) infected with P iloktsuenensis was observed by electron microscopy. These worm tissues of different developmental stage of R iloktsuenensis was observed on electromicrograph by immunogold labeling method using R iLoktsuenensis infected rat serum of 10 weeks. Antigenic localization was demonstrated as labeling of gold particles in tissues on electronmicrograph. In tegument, gold particles were labeled on tegumental tissue, generally more numerous on secretory granules in tegumental syncytium 2 weeks than those on the other elder developmental stages, but there was a little variation in antigenicity according to individual worm tissue. In general, antigenicity in tegumental tissue was not strong (gold particles: 0.1-5/1 Mm2). In intestine, a large number of gold particles (15-18/1 Mm2) were labeled in intestinal epithelium. Gold particles were concentrated especially on secretory granules in cytoplasm, and gold particles were labeled not only in cytoplasmic protrusions, but also in intestinal luminal contents. Intencity of labeling of gold particles was not correlated with developmental stage of worms. In vitelline gland, a large number of gold particles were labeled on vitelline globules. The gold particles in vitelline globules (8- 11/1 Mm2) were concentrated in protoplasm among segmental globules . Key words: Pnragonimus iloktsuenensis, immunogold labeling method, tissue antigen ultrastructure.

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Analysis on Update Performance of XML Data by the Labeling Method (Labeling 방식에 따른 XML 데이터의 갱신 성능 분석)

  • Jung Min-Ok;Nam Dong-Sun;Han Jung-Yeob;Park Jong-Hyen;Kang Ji-Hoon
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.07b
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    • pp.106-108
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    • 2005
  • XML is situating a standard fur data exchange in the Web. Most applications use database to manage XML documents of high-capacity efficiently. Therefore, most applications create label that expresses structure information of XML data and stores with information of XML document. A number of labeling schemes have been designed to label the element nodes such that the relationships between nodes can be easily determined by comparing their labels. With the increased popularity of XML data on the web, finding a labeling scheme that is able to support order-sensitive queries in the presence of dynamic updates becomes urgent. XML documents that most applications use have many properties as their application. So, in the thesis, we present the most efficient updating methods dependent on properties of XML documents in practical application by choosing a representative labeling method and applying these properties. The result of our test is based on XML data management system, so it expect not only used directly in practical application, but a standard to select the most proper methods for environment of application to develop a new exclusive XML database or use XML.

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Cost-effective isotope labeling technique developed for 15N/13C-labeled proteins

  • Kim, Hee-Youn;Hong, Eun-Mi;Lee, Weon-Tae
    • Journal of the Korean Magnetic Resonance Society
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    • v.15 no.2
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    • pp.115-127
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    • 2011
  • A newly developed cost-effective approach to prepare $^{15}N/^{13}C$-labeled protein for NMR studies is presented. This method has been successfully applied to isotopically labeling of PTK6 SH2 domain and MTH 1880 protein. The production method generates cell density using a growing media containing $^{15}NH_4Cl$, $^{12}C_6$-D-glucose. Following a doubling time period for unlabeled metabolite exhaustion and then addition $^{13}C_6$-D-glucose into a M9 growing media, the cells are induced. Our results demonstrate that in order to get full incorporation of $^{13}C$, the isotopes are not totally required during the initial growth phase before induction. The addition of small amounts of $^{13}C_6$-D-glucose to the induction phase is sufficient to obtain more than 95% incorporation of isotopes into the protein. Our optimized protocol is two-thirds less costly than the classical method using $^{13}C$ isotope during the entire growth phase.

Overview of Arterial Spin Labeling Perfusion MRI (동맥스핀표지 관류 자기공명영상의 개요)

  • Kang, Sung-Jin;Han, Man-Seok
    • Journal of the Korean Magnetics Society
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    • v.27 no.4
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    • pp.145-152
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    • 2017
  • The arterial spin labeling (ASL) is a magnetic resonance imaging (MRI) method that can evaluate tissue perfusion using blood in the body. The characteristic of non-invasive examinations without contrast agents and the quantitative measurement of perfusion volume is possible, which are increasingly being used for clinical and research purposes. Up to the present, The ASL method has lower SNR than the perfusion imaging method using contrast agent and because optimization of various parameter in the imaging process is difficult, Which may result in measurement errors. To improve this, ASL methods using various technologies are introduced. This paper briefly introduces the outline of ASL, its features in imaging process, various techniques, and clinical application.

Labeling network applicaion study policy settings for optimized transmission of multimedia internet (멀티미디어 인터넷망의 최적화 전송을 위한 라벨링망 응용 정책설정 고찰)

  • Gu, Hyun-Sil;Hwang, Seong-kyu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.8
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    • pp.1780-1784
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    • 2015
  • Traditional IP routing, see only the Destination Address When Forwarding Layer 3 routing and exchange information and Destination-Based Routing Lookup is required for all Hop. Thus, all routers Full Internet routing information, the route information of more than about 120,000 may require. Therefore, the router configuration, which can be dispersed in the environment, the traffic load is required in accordance with this congestion. In this study, a unique characteristic of the Internet in the environment of an existing network Best Effect for QoS guarantee and hardware high speed switching of large multimedia data transmitted using a Labeling for forwarding a packet environment configuration is required. Video Stream Broadcast Transport Labeling rather than in much of the higher performance of the multi-step policy to most of the Video Stream Packet deulim was fixed to Labeling Header Format proposes a method of applying an effective QoS policy to a more simplified policy.

Selective labeling using image super resolution for improving the efficiency of object detection in low-resolution oriental paintings

  • Moon, Hyeyoung;Kim, Namgyu
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.9
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    • pp.21-32
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    • 2022
  • Image labeling must be preceded in order to perform object detection, and this task is considered a significant burden in building a deep learning model. Tens of thousands of images need to be trained for building a deep learning model, and human labelers have many limitations in labeling these images manually. In order to overcome these difficulties, this study proposes a method to perform object detection without significant performance degradation, even though labeling some images rather than the entire image. Specifically, in this study, low-resolution oriental painting images are converted into high-quality images using a super-resolution algorithm, and the effect of SSIM and PSNR derived in this process on the mAP of object detection is analyzed. We expect that the results of this study can contribute significantly to constructing deep learning models such as image classification, object detection, and image segmentation that require efficient image labeling.

Development of Cloud-Based Medical Image Labeling System and It's Quantitative Analysis of Sarcopenia (클라우드기반 의료영상 라벨링 시스템 개발 및 근감소증 정량 분석)

  • Lee, Chung-Sub;Lim, Dong-Wook;Kim, Ji-Eon;Noh, Si-Hyeong;Yu, Yeong-Ju;Kim, Tae-Hoon;Yoon, Kwon-Ha;Jeong, Chang-Won
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.7
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    • pp.233-240
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    • 2022
  • Most of the recent AI researches has focused on developing AI models. However, recently, artificial intelligence research has gradually changed from model-centric to data-centric, and the importance of learning data is getting a lot of attention based on this trend. However, it takes a lot of time and effort because the preparation of learning data takes up a significant part of the entire process, and the generation of labeling data also differs depending on the purpose of development. Therefore, it is need to develop a tool with various labeling functions to solve the existing unmetneeds. In this paper, we describe a labeling system for creating precise and fast labeling data of medical images. To implement this, a semi-automatic method using Back Projection, Grabcut techniques and an automatic method predicted through a machine learning model were implemented. We not only showed the advantage of running time for the generation of labeling data of the proposed system, but also showed superiority through comparative evaluation of accuracy. In addition, by analyzing the image data set of about 1,000 patients, meaningful diagnostic indexes were presented for men and women in the diagnosis of sarcopenia.