• Title/Summary/Keyword: 최은주

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Biological treatment process for Food wastewater Using ER-1 bioreactor (다단 수직형 호기성반응기(ER-1)를 이용한 음식물 폐수의 생물학적 처리기술)

  • Lee, Jae-ki;Choi, Hong-Bok;Shin, Eung-Bai;Park, Ju-Hyoung;Choi, Eun-Ju;Kim, Jung-Rae;Park, Young-Sook
    • Journal of the Korea Organic Resources Recycling Association
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    • v.14 no.4
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    • pp.113-120
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    • 2006
  • Wastewater generated through the food waste recycling process have known high concentration, BOD 20,000~150,000 mg/L, which has to treat to the proper level because of a ban on reclamation. But it is impossible to treat less than 10 days by existing water treatment plant. Ecodays Ltd. is to treat this wastewater during 2~4 days by ER-1, which can simultaneously induce the modified PFR(Plug Flow Reactor) of the oxygen transfer rate, MLVSS concentration, and influent concentration to top from bottom of reactor. We tested the pilot test about low concentration food wastewater(BOD 16,500 mg/L) and high concentration food wastewater(64,431 mg/L) at the food waste recycling plant of H-Gun(20t/d). Hydraulic retention time(HRT) of ER-1 for low concentration food wastewater is 2.5day. In low concentration conditions, ER-1 treatment efficiency is to appear BOD 99%, COD 98%, TN 97%, and TP 96%. While ER-1 process for high concentration food wastewater treatment is composed 2 stages, which are to be HRT 2.5day for law wastewater and HRT 1.5 day for secondary treatment. In high concentration conditions, ER-1 treatment efficiency is to appear BOD 97%, COD 84%, TN 66%, and TP 95%. It is treated without temperature control about high temperature($50^{\circ}C$) to appear low treatment efficiency in high concentration conditions.

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The Current Status of Utilization of Palliative Care Units in Korea: 6 Month Results of 2009 Korean Terminal Cancer Patient Information System (말기암환자 정보시스템을 이용한 우리나라 암환자 완화의료기관의 이용현황)

  • Shin, Dong-Wook;Choi, Jin-Young;Nam, Byung-Ho;Seo, Won-Seok;Kim, Hyo-Young;Hwang, Eun-Joo;Kang, Jina;Kim, So-Hee;Kim, Yang-Hyuck;Park, Eun-Cheol
    • Journal of Hospice and Palliative Care
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    • v.13 no.3
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    • pp.181-189
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    • 2010
  • Purpose: Recently, health policy making is increasingly based on evidence. Therefore, Korean Terminal Cancer Patient Information System (KTCPIS) was developed to meet such need. We aimed to report its developmental process and statistics from 6 months data. Methods: Items for KTCPIS were developed through the consultation with practitioners. E-Velos web-based clinical trial management system was used as a technical platform. Data were collected for patients who were registered to 34 inpatient palliative care services, designated by Ministry of Health, Welfare, and Family Affairs, from $1^{st}$ of January to $30^{th}$ of June in 2009. Descriptive statistics were used for the analysis. Results: From the nationally representative set of 2,940 patients, we obtained the following results. Mean age was $64.8{\pm}12.9$ years, and 56.6% were male. Lung cancer (18.0%) was most common diagnosis. Only 50.3% of patients received the confirmation of terminal diagnosis by two or more physicians, and 69.7% had an insight of terminal diagnosis at the time of admission. About half of patients were admitted to the units on their own without any formal referral. Average and worst pain scores were significantly reduced after 1 week when compared to those at the time of admission. 73.4% faced death in the units, and home-discharge comprised only 13.3%. Mean length of stay per admission was $20.2{\pm}21.2$ days, with median value of 13. Conclusion: Nationally representative data on the characteristics of patients and their caregiver, and current practice of service delivery in palliative care units were obtained through the operation of KTCPIS.

Effect of hyperglycemia on mortality rates in critically ill children (소아 중환자에서 고혈당과 사망률과의 관계)

  • Kim, Seonguk;Kim, Bo Eun;Ha, Eun Ju;Moon, Mi Young;Park, Seong Jong
    • Clinical and Experimental Pediatrics
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    • v.53 no.3
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    • pp.323-328
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    • 2010
  • Purpose : To verify the effect of hyperglycemia on mortality rates in critically ill children and to identify the blood glucose level that influences prognosis. Methods : From July 2006 to June 2008, a total of 206 patients who were admitted to the pediatric intensive care unit (PICU) at Asan Medical Center and who survived for more than 7 days were retrospectively reviewed. We analyzed the maximum glucose value within 7 days in PICU, PRISM-III score and SOFA score within 24 hours, and mortality. We did not perform an adjustment analysis of drugs affecting glucose level. Results : The maximum glucose level within 7 days in PICU was higher in the nonsurvival group than in the survival group. Using 4 cutoff values (125, 150, 175, and 200 mg/dL), the mortality of patients with hyperglycemia was found to be 13.0 %, 14.4%, 19.8%, and 21.1%, respectively, and the cutoff values of 175 and 200 mg/dL revealed significant differences in mortalities between the hyperglycemic and normoglycemic groups. The PRISM-III score was not significantly different between the hyperglycemic and normoglycemic groups under a glucose cutoff value of 175 mg/dL, but the SOFA score was higher in the hyperglycemic group. Under a glucose cutoff value of 200 mg/dL, the PRISM-III score was higher in the hyperglycemic group, and the SOFA score did not differ between the 2 groups. Conclusion : Hyperglycemia with a maximal glucose value ${\geq}175\;mg/dL$ during the first 7 days after PICU admission was associated with increased mortality in critically ill children.

Deriving adoption strategies of deep learning open source framework through case studies (딥러닝 오픈소스 프레임워크의 사례연구를 통한 도입 전략 도출)

  • Choi, Eunjoo;Lee, Junyeong;Han, Ingoo
    • Journal of Intelligence and Information Systems
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    • v.26 no.4
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    • pp.27-65
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    • 2020
  • Many companies on information and communication technology make public their own developed AI technology, for example, Google's TensorFlow, Facebook's PyTorch, Microsoft's CNTK. By releasing deep learning open source software to the public, the relationship with the developer community and the artificial intelligence (AI) ecosystem can be strengthened, and users can perform experiment, implementation and improvement of it. Accordingly, the field of machine learning is growing rapidly, and developers are using and reproducing various learning algorithms in each field. Although various analysis of open source software has been made, there is a lack of studies to help develop or use deep learning open source software in the industry. This study thus attempts to derive a strategy for adopting the framework through case studies of a deep learning open source framework. Based on the technology-organization-environment (TOE) framework and literature review related to the adoption of open source software, we employed the case study framework that includes technological factors as perceived relative advantage, perceived compatibility, perceived complexity, and perceived trialability, organizational factors as management support and knowledge & expertise, and environmental factors as availability of technology skills and services, and platform long term viability. We conducted a case study analysis of three companies' adoption cases (two cases of success and one case of failure) and revealed that seven out of eight TOE factors and several factors regarding company, team and resource are significant for the adoption of deep learning open source framework. By organizing the case study analysis results, we provided five important success factors for adopting deep learning framework: the knowledge and expertise of developers in the team, hardware (GPU) environment, data enterprise cooperation system, deep learning framework platform, deep learning framework work tool service. In order for an organization to successfully adopt a deep learning open source framework, at the stage of using the framework, first, the hardware (GPU) environment for AI R&D group must support the knowledge and expertise of the developers in the team. Second, it is necessary to support the use of deep learning frameworks by research developers through collecting and managing data inside and outside the company with a data enterprise cooperation system. Third, deep learning research expertise must be supplemented through cooperation with researchers from academic institutions such as universities and research institutes. Satisfying three procedures in the stage of using the deep learning framework, companies will increase the number of deep learning research developers, the ability to use the deep learning framework, and the support of GPU resource. In the proliferation stage of the deep learning framework, fourth, a company makes the deep learning framework platform that improves the research efficiency and effectiveness of the developers, for example, the optimization of the hardware (GPU) environment automatically. Fifth, the deep learning framework tool service team complements the developers' expertise through sharing the information of the external deep learning open source framework community to the in-house community and activating developer retraining and seminars. To implement the identified five success factors, a step-by-step enterprise procedure for adoption of the deep learning framework was proposed: defining the project problem, confirming whether the deep learning methodology is the right method, confirming whether the deep learning framework is the right tool, using the deep learning framework by the enterprise, spreading the framework of the enterprise. The first three steps (i.e. defining the project problem, confirming whether the deep learning methodology is the right method, and confirming whether the deep learning framework is the right tool) are pre-considerations to adopt a deep learning open source framework. After the three pre-considerations steps are clear, next two steps (i.e. using the deep learning framework by the enterprise and spreading the framework of the enterprise) can be processed. In the fourth step, the knowledge and expertise of developers in the team are important in addition to hardware (GPU) environment and data enterprise cooperation system. In final step, five important factors are realized for a successful adoption of the deep learning open source framework. This study provides strategic implications for companies adopting or using deep learning framework according to the needs of each industry and business.

Development of an Efficient Method of Screening for Watermelon Plants Resistant to Fusarium oxysporum f. sp. niveum (수박 덩굴쪼김병에 대한 효율적인 저항성 검정법 개발)

  • Jo, Eun Ju;Lee, Ji Hyun;Choi, Yong Ho;Kim, Jin-Cheol;Choi, Gyung Ja
    • Horticultural Science & Technology
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    • v.33 no.3
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    • pp.409-419
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    • 2015
  • This study was conducted to establish an efficient screening method for watermelon plants resistant to Fusarium wilt (FW), which is caused by Fusarium oxysporum f. sp. niveum (Fon). An HA isolate was prepared from a wilted watermelon plant in Haman-gun and identified as F. oxysporum f. sp. niveum based on morphological characteristics, molecular analyses of ITS (internal transcribed spacer) and TEF (translation elongation factor $1{\alpha}$) sequences, and host specificity on cucurbits including watermelon, melon, oriental melon, and cucumber. The assay for disease response of watermelon differentials indicated that the HA isolate was race 0. Among seven liquid media tested, the highest amount of Fon spores was produced from V8-juice broth, which was selected as a medium for mass production of Fon. The disease assay for 21 watermelon and 11 watermelon-rootstock cultivars demonstrated that 20 watermelon cultivars except for 'Soknoranggul' were susceptible; 'Soknoranggul' was moderately resistant. All the tested rootstock cultivars were highly resistant to the HA isolate. The evaluation of disease development depending on various conditions suggested that an efficient screening method for FW resistance in watermelon plants is to dip the roots of 10-day-old seedlings in spore suspension of $1.0{\times}10^5-1.0{\times}10^6conidia{\cdot}mL^{-1}$ for 30 min., to transplant the seedlings to plastic pots with a fertilized soil, and then to cultivate the plants at $25^{\circ}C$ for 3 weeks.

The Effect of the Dental Patients' Perception about Dental Hygienist on the Social Demand of Dental Hygienist (치과 내원환자들의 치과위생사에 대한 인식도가 치과위생사의 사회적 요구도에 미치는 영향)

  • Choi, Jung-Mi;Lee, Eun-Ju
    • Journal of dental hygiene science
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    • v.12 no.4
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    • pp.392-403
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    • 2012
  • This study aims at providing the basic data to help establish the right identity of dental hygienist and develop the work of dental hygienists, and thereby investigating the effect of patients' perception of dental hygienist on their social demand of dental hygienist, by conducting a survey of 300 patients visiting dentists around Busan-Gyeongnam region from April 7, 2012 to April 25, 2012. The collected data is statistically analyzed by SPSS (Statistical Packages for Social Science 14.0. SPSS Inc., Chicago, IL, USA). First, I analyzed the frequency by suggesting the demographic and descriptive characteristics of data, and conducted t-test and One-Way ANOVA at 5% of significance level to figure out the degree of perception and social demand of dental hygienists depending on customers' reason for visiting dentists, and also conducted regression analysis to find the effect of the perception of dental hygienist on patient's social demand of dental hygienist. The result suggests that as the perception of the dental hygienists' role, the social demand for dental hygienists' image increases, but as perception of dental hygienists' image increases, the social demand of dental hygienists' image decreases. Therefore, it suggests that as the knowledge about dental hygienists increases, patients demand their service more, while the perception of their image lowers the social demand for their image. It turns out that as the knowledge of dental hygienists increase, the social demand for the knowledge also increases.

Inhibitory Effects of Functional Sujeonggwa (Cinnamon Drink) on Lipid Peroxidation and DNA Damage in Diet-Induced Hypercholesterolemic ApoE Knockout Mice (고콜레스테롤혈증 ApoE Knockout 마우스에서 기능성 수정과의 지질과산화 및 산화적 DNA 손상 억제 효과)

  • Park, Eunju;Baek, Aran;Kim, Mijeong;Lee, Seon Woo;Lee, Eunji;Choi, Mi-Joo;Lee, Jeehyun;Song, Yeong Ok
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.43 no.11
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    • pp.1627-1634
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    • 2014
  • The recipe for sujeonggwa, a Korean traditional sweet drink containing cinnamon, ginger, sugar, or honey, was modified by replacing sugar with alternative sweeteners [stevia or short-chain frutooligosaccharide (scFOS)] in order to improve the health functionality of sujeonggwa. The aim of this study was to evaluate the effects of modified sujeonggwa on lipid peroxidation and oxidized DNA damage in diet-induced hypercholesterolemic ApoE knockout mice. Hypercholesterolemia was induced in 6-week-old male mice by administration of a high cholesterol diet (1.25% cholesterol, 0.5% cholic acid, and 10% coconut oil) for 4 weeks, after which mice were divided into five groups: sucrose solution-fed control group, sujeonggwa containing sucrose group, sucrose+stevia group, sucrose+stevia+scFOS group, and commercially available sujeonggwa group as a positive control. After 6 weeks, sujeonggwa supplementation resulted in reduced hepatic thiobarbituric acid reactive substances (TBARS), regardless of sweetener type. However, reduction of hepatic TBARS by commercially available sujeonggwa was insignificant. Both endogenous and $H_2O_2$-induced DNA damage in hepatocytes and splenocytes were significantly reduced only in the sujeonggwa containing stevia group compared to the sucrose-fed control group. There were no significant effects of sujeonggwa supplementation on total radical trapping potential, lipid peroxidation, or DNA damage in blood. These results suggest that sujeonggwa has protective effects against hepatic lipid peroxidation and DNA damage in hepatocytes or splenocytes from diet-induced hypercholesterolemic ApoE knockout mice, and the type of sweetener should be modified to improve the health benefits of sujeonggwa.

A Study of Phthalate and Adipate Esters in Food Packaging and Packaged Foods (식품포장용 wrap 및 식품 종류에 따른 Phthalate 및 Adipate Esters에 대한 연구)

  • Lee, Kwang-Ho;Kwak, In-Shin;Jeong, Dong-Youn;Jeon, Dae-Hoon;Choi, Jae-Chon;Kim, Hyung-Il;Choi, Byung-Hee;Lee, Chang-Hyun;Koo, Eun-Joo;Lee, Chul-Won
    • Korean Journal of Food Science and Technology
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    • v.33 no.4
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    • pp.479-485
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    • 2001
  • A study of the levels of phthalate and adipate esters, which are suspected as endocrine disruptors, in food packaging wraps and packaged foods were carried out. Among 11 wrap samples, 8 household wraps purchased at retail markets were polyvinyl chloride(PVC) and polyethylene(PE), while 3 commercial wraps at wholesale markets were PVC. All of 51 selected food samples, such as 12 samples of vegetable, 11 samples of fruit, 6 samples of bread and rice cake, 4 samples of meat and poultry, 4 samples of fish and 14 samples of side dish, packaged with commercial PVC wraps containing adipate esters were purchased at retail markets. The level of di-(2-ethylhexyl) adipate(DEHA) and diisononyl adipate(DINA) was from 2.2 to 17.9% and from 4.2 to 22.3% in household PVC wraps, respectively. In the commercial PVC wraps, the level of DEHA showed from 18.3 to 22.5%, while other phthalate esters were not detected. The phthalate and adipate esters were not detected in PE wraps. The level of DEHA in packaged foods, such as vegetable, fruit, bread and rice cake, meat and poultry, fish and side dish, were determined up to $8.2\;{\mu}g/cm^2,\;17.4\;{\mu}g/cm^2,\;31.0{\mu}g/cm^2,\;8.3\;{\mu}g/cm^2,\;2.1\;{\mu}g/cm^2$ and $92.3\;{\mu}g/cm^2$, respectively. The results suggested that migration levels of DEHA in foods were closely related to the fat content, wrapping condition of food and stroage time and temperature.

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Evaluation of Cabbage- and Broccoli-genetic Resources for Resistance to Clubroot and Fusarium Wilt (뿌리혹병 및 시들음병에 대한 저항성 양배추와 브로콜리 유전자원 탐색)

  • Lee, Ji Hyun;Jo, Eun Ju;Jang, Kyoung Soo;Choi, Yong Ho;Kim, Jin-Cheol;Choi, Gyung Ja
    • Research in Plant Disease
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    • v.20 no.4
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    • pp.235-244
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    • 2014
  • Clubroot and Fusarium wilt of cole crops (Brassica oleracea L.) are destructive diseases which for many years has brought a decline in quality and large losses in yields all over the world. The breeding of resistant cultivars is an effective approach to reduce the use of chemical fungicides and minimize crop losses. This study was conducted to evaluate the resistance of 60 cabbage (B. oleracea var. capitata) and 6 broccoli (B. oleracea var. italica) lines provided by The RDA-Genebank Information Center to clubroot and Fusarium wilt. To investigate resistance to clubroot, seedlings of the genetic resources were inoculated with Plasmodiophora brassicae by drenching the roots with a mixed spore suspension (1 : 1) of two isolates. Of the tested genetic resources, four cabbage lines were moderately resistant and 'K166220' represented the highest resistance to P. brassicae. The others were susceptible to clubroot. On the other hand, to select resistant plants to Fusarium wilt, the genetic resources were inoculated with Fusarium oxysporum f. sp. conglutinans by dipping the roots in spore suspension of the fungus. Among them, 17 cabbage and 5 broccoli lines were resistant, 16 cabbage lines were moderately resistant, and the others were susceptible to Fusarium wilt. Especially, three cabbage ('IT227115', 'K161791', 'K173350') and two broccoli ('IT227100', 'IT227099') lines were highly resistant to the fungus. We suggest that the resistant genetic resources can be used as a basic material for resistant B. oleracea breeding system against clubroot and Fusarium wilt.

Protective effect of Acer okamotoanum from oxidative stress in C6 glial cells (우산고로쇠의 항산화 및 신경세포에서의 산화적 스트레스 개선 효과)

  • Choi, Soo Yeon;Kim, Ji Hyun;Lee, Jaemin;Lee, Sanghyun;Cho, Eun Ju
    • Journal of Applied Biological Chemistry
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    • v.60 no.2
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    • pp.141-147
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    • 2017
  • Radical scavenging effect and protective activity against oxidative stress of Acer okamotoanum were investigated. A. okamotoanum was extracted with methanol (MeOH) and then fractionated with n-BuOH, ethyl acetate (EtOAc), methylene chloride and n-hexane fractions. The MeOH extract and fractions showed strong 1,1-diphenyl-2-picrylhydrazyl and superoxide radical scavenging activity. Among the MeOH extract and fractions, the EtOAc fraction showed the strongest radical scavenging activity. In addition, total phenolic and flavonoid contents of EtOAc fraction was higher than other extract and fractions. Furthermore, we investigated the neuroprotective effect of the MeOH extract and fractions from A. okamotoanum against oxidative stress under cellular system using C6 glial cell. The C6 glial cells showed a decrease in cell viability and high production of reactive oxygen species (ROS) by the treatment of amyloid $beta_{25-35}$ ($A{\beta}_{25-35}$). However, with the treatment of the MeOH extract and fractions, it significantly increased the cell viability and inhibited the overproduction of ROS by $A{\beta}_{25-35}$. In particular, the EtOAc fraction led to significantly increase the cell viability and decrease the generation of ROS against oxidative stress by $A{\beta}_{25-35}$. The current study indicated that A. okamotoanum demonstrated antioxidative and neuroprotective effects. In particular, the EtOAc fraction which attributed a strong protective activity against oxidative stress.