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Semi-automated Tractography Analysis using a Allen Mouse Brain Atlas : Comparing DTI Acquisition between NEX and SNR (알렌 마우스 브레인 아틀라스를 이용한 반자동 신경섬유지도 분석 : 여기수와 신호대잡음비간의 DTI 획득 비교)

  • Im, Sang-Jin;Baek, Hyeon-Man
    • Journal of the Korean Society of Radiology
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    • v.14 no.2
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    • pp.157-168
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    • 2020
  • Advancements in segmentation methodology has made automatic segmentation of brain structures using structural images accurate and consistent. One method of automatic segmentation, which involves registering atlas information from template space to subject space, requires a high quality atlas with accurate boundaries for consistent segmentation. The Allen Mouse Brain Atlas, which has been widely accepted as a high quality reference of the mouse brain, has been used in various segmentations and can provide accurate coordinates and boundaries of mouse brain structures for tractography. Through probabilistic tractography, diffusion tensor images can be used to map comprehensive neuronal network of white matter pathways of the brain. Comparisons between neural networks of mouse and human brains showed that various clinical tests on mouse models were able to simulate disease pathology of human brains, increasing the importance of clinical mouse brain studies. However, differences between brain size of human and mouse brain has made it difficult to achieve the necessary image quality for analysis and the conditions for sufficient image quality such as a long scan time makes using live samples unrealistic. In order to secure a mouse brain image with a sufficient scan time, an Ex-vivo experiment of a mouse brain was conducted for this study. Using FSL, a tool for analyzing tensor images, we proposed a semi-automated segmentation and tractography analysis pipeline of the mouse brain and applied it to various mouse models. Also, in order to determine the useful signal-to-noise ratio of the diffusion tensor image acquired for the tractography analysis, images with various excitation numbers were compared.

In Vivo Embryo Production and Embryo Transfer in Hanwoo and Jeju Black Cattle Using CIDR (CIDR를 이용한 제주 한우 및 흑우의 체내 수정란 생산과 이식)

  • Kim, Y.H.;Koo, J.C.;Oh, C.W.;Kang, S.Y.;Yang, B.S.;Oh, S.J.;Kim, C.N.;Song, J.Y.;Kim, I.H.
    • Journal of Embryo Transfer
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    • v.21 no.3
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    • pp.191-198
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    • 2006
  • The objectives of this study was to produce valuable offsprings of Hanwoo and Jeju black cattle using in vivo embryo production and embryo transfer techniques during 5 years ($2001{\sim}2005$) in Jeju. Two hundred and eighty six Hanwoo and sixty nine Jeju black cattles, at random stages of the estrous cycle, received a CIDR. Seven days later, the animals were superovulated with a total of 400 mg pFSH ($Folltropin^{(R)}-V$) administered twice daily in constant doses (each 50 mg) over 4 days. On the 6th administration of FSH, CIDR was withdrawn and 25 mg $PGF_{2{\alpha}}$ was administered. Cows were artificially inseminated thrice after estrous detection at 12 hr intervals. The cows received $250{\mu}g$ GnRH at the time of 2nd insemination. Embryos were recovered 7 or 8 days after the 1st insemination. Recipients were synchronized with donors by insertion of a CIDR for 7 days and administration of 25 mg $PGF_{2{\alpha}}$ at the time of CIDR removal. The collected embryos were transferred to 1,219 recipients by 6 transfer persons. The mean numbers of total ova and transferable embryos from Hanwoo and Jeju black cattle donors were 7.4 and 4.7, respectively The number of transferable embryos differed between Hanwoo (5.0) and Jeju black cattle (3.5, p<0.05), while that of total ova did not differ. Repeated superovulation treatments decreased (p<0.05) the ratio of numbers of the flushed animals vs. superovulated animals in Jeju black cattle, and the numbers of total ova and transferable embryos in Hanwoo. More transferable embryos were collected at summer (5.6) than winter (2.9, p<0.01). The mean pregnancy rate was 40%. The pregnancy.ate was affected by transfer year (2001<2004, p<0.05) and transfer person ($33.0{\sim}41.9%$, p<0.01), while not by donor (embryo) breed. These results showed that in vivo embryo preduction and embryo transfer techniques using CIDR for Hanwoo and Jeju black cattle donors as well as recipient, regardless of their estrous cycle, may enable a stable embryo production and recipient preparation.

Work Related Musculoskeletal Symptoms and their Related Factors in Radiological Tehnologist. (치료방사선사의 직무에 의한 신체손상(근골격계 증상)에 관한 연구)

  • Lee, Byung-Chul;Cho, Jung-Hee;Shin, Dong-Bong;Woo, Jung-Yeol;Park, Jae-Il
    • The Journal of Korean Society for Radiation Therapy
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    • v.16 no.1
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    • pp.39-50
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    • 2004
  • This study was carried out to evaluate the effect of general and occupational characteristics musculoskeletal symptoms in Radiological Technologist who working in present department more than 1 year. Standardized questionnaire of NIOSH and organized questionnaire for 재rk-related musculoskeletal was to 72Radiological Technologist, employed in 6general hospital in Seoul in September, 2003. The symptom prevalence rate of musculoskeletal symptoms were neck ($33.3\%$), shoulder ($33.3\%$), arm($12.5\%$), hand($13.9\%$), spine($34.7\%$)leg/knee/foot ($31.9\%$), arm/wrist/hand ($16.5\%$).

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Naked Waxy Barley Cultivar "Jinjuchal" with High Whiteness after Cooking and High β-glucan Content (취반 후 백도가 좋고 베타글루칸 함량이 높은 찰성 쌀보리 "진주찰")

  • Lee, Mi-Ja;Seo, Jae-Hwan;Kim, Yang-Kil;Park, Jong-Chul;Choi, Jae-Seong;Park, Tae-Il;Hyun, Jong-Nae;Kim, Jung-Gon
    • Korean Journal of Breeding Science
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    • v.41 no.3
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    • pp.299-305
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    • 2009
  • A new six-rowed naked barley cultivar "Jinjuchal" with high whiteness after cooking and high $\beta$-glucan content was developed from the cross between 'Jinmichapssalbori' with high winter hardiness, lodging tolerance, grain whiteness and pearling yield, and 'Suwon 333' with waxy endosperm by the Honam Agricultural Research Institute (HARI), NICS, RDA in 2007. An elite line, SB962002G-B-B-B-84-4 was selected in 2002 and designated as 'Iksan 79' It showed good agronomic performance in the regional yield trials (RYT) from 2005 to 2007 and was released with the name of "Jinjuchal" possessing high whiteness and low proanthocyanidin waxy endosperm. The average heading and maturing dates of "Jinjuchal" were April 27 and June 1 in paddy field, which were same and one day later than those of the check cultivar 'Saechalssalbori' respectively. The new cultivar, "Jinjuchal" had 81 cm of culm length that was 1cm longer than that of 'Saechalssalbori' and 4.9 cm of spike length. It showed 673 spikes per $m^2$, 56 grains per spike, 27.0 g of 1,000-grain weight, and 752 g of test weight. "Jinjuchal" showed stronger hardiness and better resistance to powdery mildew and BaYMV (Barley yellow mosaic virus) than those of the check cultivar, 'Saechalssalbori' It showed higher $\beta$-glucan content(8.4%) and water absorption rate than those of the check cultivar, 'Saechalssalbori' Its average yield of the pearled grain in the regional yield trial was 3.79 MT/ha in upland, and 3.73 MT/ha in paddy field, which were 1% lower and 3% higher than those of the check cultivar, respectively. Total phenol and proanthocyanidin contents were 4.2 and 0.2 mg/g, respectively. This cultivar is suitable for the area of the daily minimum temperature above $-6^{\circ}C$ in January in Korean peninsula.

The way to make training data for deep learning model to recognize keywords in product catalog image at E-commerce (온라인 쇼핑몰에서 상품 설명 이미지 내의 키워드 인식을 위한 딥러닝 훈련 데이터 자동 생성 방안)

  • Kim, Kitae;Oh, Wonseok;Lim, Geunwon;Cha, Eunwoo;Shin, Minyoung;Kim, Jongwoo
    • Journal of Intelligence and Information Systems
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    • v.24 no.1
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    • pp.1-23
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    • 2018
  • From the 21st century, various high-quality services have come up with the growth of the internet or 'Information and Communication Technologies'. Especially, the scale of E-commerce industry in which Amazon and E-bay are standing out is exploding in a large way. As E-commerce grows, Customers could get what they want to buy easily while comparing various products because more products have been registered at online shopping malls. However, a problem has arisen with the growth of E-commerce. As too many products have been registered, it has become difficult for customers to search what they really need in the flood of products. When customers search for desired products with a generalized keyword, too many products have come out as a result. On the contrary, few products have been searched if customers type in details of products because concrete product-attributes have been registered rarely. In this situation, recognizing texts in images automatically with a machine can be a solution. Because bulk of product details are written in catalogs as image format, most of product information are not searched with text inputs in the current text-based searching system. It means if information in images can be converted to text format, customers can search products with product-details, which make them shop more conveniently. There are various existing OCR(Optical Character Recognition) programs which can recognize texts in images. But existing OCR programs are hard to be applied to catalog because they have problems in recognizing texts in certain circumstances, like texts are not big enough or fonts are not consistent. Therefore, this research suggests the way to recognize keywords in catalog with the Deep Learning algorithm which is state of the art in image-recognition area from 2010s. Single Shot Multibox Detector(SSD), which is a credited model for object-detection performance, can be used with structures re-designed to take into account the difference of text from object. But there is an issue that SSD model needs a lot of labeled-train data to be trained, because of the characteristic of deep learning algorithms, that it should be trained by supervised-learning. To collect data, we can try labelling location and classification information to texts in catalog manually. But if data are collected manually, many problems would come up. Some keywords would be missed because human can make mistakes while labelling train data. And it becomes too time-consuming to collect train data considering the scale of data needed or costly if a lot of workers are hired to shorten the time. Furthermore, if some specific keywords are needed to be trained, searching images that have the words would be difficult, as well. To solve the data issue, this research developed a program which create train data automatically. This program can make images which have various keywords and pictures like catalog and save location-information of keywords at the same time. With this program, not only data can be collected efficiently, but also the performance of SSD model becomes better. The SSD model recorded 81.99% of recognition rate with 20,000 data created by the program. Moreover, this research had an efficiency test of SSD model according to data differences to analyze what feature of data exert influence upon the performance of recognizing texts in images. As a result, it is figured out that the number of labeled keywords, the addition of overlapped keyword label, the existence of keywords that is not labeled, the spaces among keywords and the differences of background images are related to the performance of SSD model. This test can lead performance improvement of SSD model or other text-recognizing machine based on deep learning algorithm with high-quality data. SSD model which is re-designed to recognize texts in images and the program developed for creating train data are expected to contribute to improvement of searching system in E-commerce. Suppliers can put less time to register keywords for products and customers can search products with product-details which is written on the catalog.

Home Meal Replacement Consumption Status and Product Development Needs according to Dietary Lifestyle of Hong Kong Consumers (홍콩 소비자의 식생활 라이프스타일에 따른 HMR 소비실태와 제품개발 요구도)

  • Paik, Eun-Jin;Lee, Hyun-Jun;Hong, Wan-Soo
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.46 no.7
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    • pp.876-885
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    • 2017
  • This study aimed to identify the characteristics of Home Meal Replacement (HMR) product purchases and the need for HMR product development for Hong Kong consumers in order to suggest market segmentation strategies according to consumers' dietary lifestyle. For this, an online survey was conducted on a panel of 521 Hong Kong consumers with HMR purchase experience registered at a specialized organization. Data analysis was performed using SPSS (ver. 23.0). HMR purchase characteristics of Hong Kong consumers according to dietary lifestyle showed significant differences in all items, including 'number of purchases', 'purchase location', 'cost of single purchase', and 'reason for purchase'. According to dietary lifestyle, participants were divided into three clusters: 'High interest', 'normal interest', and 'low interest'. In the case of 'high interest in dietary life group', 'low-sodium food' was the most common, followed by 'heating food', 'low sugar food', and 'low calorie food'. In the case of 'moderate interest in dietary life group', 'low-sodium food' was the most common, followed by 'low sugar food', 'low calorie food', and 'nutritious meal'. In the case of 'low interest in dietary life group', 'low sugar food' was the most common, followed by 'low-sodium food', 'various new menu', and 'easy-to-carry dehydrated food'. For the 'high interest' group, the highest proportion of consumers were male in between the ages of 20 to 29, married, and worked in an office job. The 'high interest' consumers also showed a tendency to pay '15,000 to 20,000 KRW' per single purchase. The 'normal interest' group consisted of an even proportion of male and female consumers, with the most common age range being from 30 to 39 years, and most were married. These consumers preferred to spend 'less than 10,000 KRW' or '10,000 KRW to 15,000 KRW' per single purchase, which is in the lower price range for HMR purchases. The 'low interest in dietary life group' had more females gender-wise, were unmarried, and worked in an office job, For a single purchase, the 'low interest' group chose to pay less than 10,000 KRW, which is relatively lower than the other two clusters. The results of this study can be used as baseline data for building marketing strategies for HMR product development. It can also provide basic data and directions for new HMR export products that reflect consumer needs in order to create a market segmentation strategy for industrial applications.

Utility of B-type Natriuretic Peptide in Patients with Acute Respiratory Distress Syndrome (급성호흡곤란증후군 환자에 있어서 B-type Natriuretic Peptide의 유용성)

  • Rhee, Chin Kook;Joo, Young Bin;Kim, Seok Chan;Park, Sung Hak;Lee, Sook Young;Koh, Yoon Seok;Kim, Young Kyoon
    • Tuberculosis and Respiratory Diseases
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    • v.62 no.5
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    • pp.389-397
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    • 2007
  • Background B-type natriuretic peptide (BNP) has been shown to be strong mortality predictors in a wide variety of cardiovascular syndromes. Little is known about BNP in patients with acute respiratory distress syndrome (ARDS). We studied whether BNP can predict mortality in patients with ARDS. Method Echocardiographic study was done to all patients with ARDS, and we excluded patient with low ejection fraction (less than 50%) or showing any features of diastolic dysfunction. 47 patients were enrolled between December, 2003 and February, 2006. Parameters including BNP were obtained within 24h hours at the time of enrollment. Result Mean BNP concentrations and APACHE II scores differed between the survivors and nonsurvivors (BNP, $219.5{\pm}57.7pg/mL$ vs $492.3{\pm}88.8pg/mL$; p=0.013, APACHE II score, $17.4{\pm}1.6$ vs $23.1{\pm}1.3$, p=0.009, respectively). With the use of the threshold value for BNP of 585 pg/mL, the specificity for the prediction of mortality was 94%. The threshold value for APACHE II of 15.5 showed sensitivity of 87%. 'APACHE II + $11{\times}logBNP$' showed sensitivity 63%, and specificity 82%, using threshold value for 46.14. Conclusion BNP concentrations and APCHE II scores were more elevated in nonsurvivors than survivors in patients with ARDS who have normal ejection fraction. BNP can predict mortality. Further study should be done.

Development and Field Application of an Amphibious Scrubbing/Suction Dredging Machine with Cylindrical Rotating Brush and Turbidity Barrier (회전브러쉬와 혼탁방지막을 활용한 수륙양용형 Scrub/흡입 준설장치의 개발과 현장적용)

  • Joo, Jin Chul;Kim, Wontae;Kim, Hyunseung;Kim, Hyunseol;Song, Ho Myun
    • Journal of Korean Society of Environmental Engineers
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    • v.39 no.9
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    • pp.495-504
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    • 2017
  • An amphibious scrubbing/suction dredging machine with cylindrical rotating brush, housing, and turbidity barrier was newly-developed to remove both sediments with about 10 cm thickness and periphyton attached on various structures in urban water-circulating systems through the scrubbing, suction, and dredging processes. Based on the field application and long-term monitoring, the increase in both suspended solids (SS) and turbidity of water during the scrubbing, suction, and dredging processes was negligible (p>0.05). In some cases, the turbidity of water initially increased, however, the turbidity was stabilized within 20 minutes from the start of dredging processes. The concentration changes in TN and TP of water were not statistically different (p>0.05) before and after the scrubbing, suction, and dredging processes, indicating that benthic nutrients released from sediments were not significantly diffused, and were not supposed to cause significant water pollution. Also, water treatment facilities along with an amphibious scrubbing/suction dredging machine could be more effective since the removal of contaminant loadings through the scrubbing, suction, and dredging processes was much greater than that through simple coagulation/precipitation processes. Finally, GPS-based realtime tracking and operation program have been developed and applied in various urban water-circulating systems, and development of driver cooperative autonomous driving system is in progress to eliminate the need for manual driving of an amphibious scrubbing/suction dredging machine.

Persistence and Distribution of Trunk-Injected Abamectin in Pinus thunbergii and Pinus koraiensis Tissues (수간주입한 아바멕틴의 곰솔과 잣나무 내 분포와 지속성)

  • Lee, Sang-Myeong;Kim, Dong-Soo;Kim, Chul-Su;Cho, Kyu-Seong;Choo, Ho-Yul;Lee, Dong-Woon
    • The Korean Journal of Pesticide Science
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    • v.13 no.3
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    • pp.190-196
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    • 2009
  • The residues of abamectin 1.8% EC, resisted for control of pine wood nematode, Bursaphelenchus xylophilus in pine tree were surveyed in tissue of Pinus thunbergii and P. koraiensis after injection of a liquid formulation. Limits of detection of abamectin in tissue of P. thunbergii were $0.05\;mg\;kg^{-1}$ and mean recoveries at $0.5\;mg\;kg^{-1}$ trunk injection were 90.9% and 93.1% respectively in stem and trunk of P. thunbergii. Abamectin 1.8% EC, trunk injected in 15 m height P. thunbergii were detected in all stem (edible part of carrier insect of pine wood nematode, Monochamus alternatus) from 0.29 to $0.73\;mg\;kg^{-1}$ after 150 days injection. Amount of residue of abamectin 1.8% EC in 12.6 cm mean breast height diameter (DBH) P. thunbergii were variable depending on individual trees in natural forest. Amount of residues in lower and middle part of trunk were reduced with the passage of the injection time. In upper part of trunk were detected $1.84\;mg\;kg^{-1}$ on 30 days after injection however $0.65\;mg\;kg^{-1}$ on 15 days after injection and under detection limit on 100 and 180 days after injection in P. thunbergii. Bottom and middle parts of crown were detected $0.183\;mg\;kg^{-1}$ and $0.173\;mg\;kg^{-1}$ respectively on 180 days after injection in P. thunbergii. Mean residues of abamectin in crown and trunk were $0.80\;mg\;kg^{-1}$ and $0.30\;mg\;kg^{-1}$ on 170 days after trunk injection in 20 cm DBH and 9 m height P. koraiensis. Mean residues of abamectin in crown and trunk were $0.67\;mg\;kg^{-1}$ and $0.36\;mg\;kg^{-1}$ on 170 days after trunk injection in 15 cm DBH and 6 m height P. koraiensis.

On the Determinants of Health Care Utilization of the Physically Disabled (지체장애인의 의료이용에 영향을 미치는 요인)

  • Kim, Keon-Yeop;Lee, Young-Sook;Park, Ki-Soo;Son, Jae-Hee;Kam, Sin;Chun, Byung-Yeol;Park, Jae-Yong;Yeh, Min-Hae
    • Journal of Preventive Medicine and Public Health
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    • v.31 no.2 s.61
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    • pp.323-334
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    • 1998
  • To investigate determinants of health care utilization of the physically disabled over 20 years old in age living in Taegu city, a self-administered questionnaire survey was carried out for 337 disabled persons with chronic illness from April to July, 1997. Health care utilization .ate was 81.9%(69.1% for hospital or clinic and 12.8% for pharmacy). Marital status, job, health concern, and response to illness showed statistically significant relationship with health care utilization(p<0.05). By path analysis, job, economic status, medical security type and response to illness had a significant direct effect on health care utilization(p<0.05), however, health concern and regular source of care had an indirect effect. The reasons of no health utilization were due to economic problem(31.1%), no symptom(18.0%), inconvenience to seek care or no accompanying persons to be helped(14.8%), unseriousness of the severity of the illness(14.8%), too busy to be treated or no free time(8.2%), hopeless prognosis to be treated(6.6%) in order. In conclusion, it is recommended that the program for expanding medicaid, improving socioeconomic status by getting a job and health education to increase the health concern toward physically disabled should be implemented to increase health care utilization rate.

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