• Title/Summary/Keyword: 성장의 한계

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Establishment of Biotin Analysis by LC-MS/MS Method in Infant Milk Formulas (LC-MS/MS를 이용한 조제유류 중 비오틴 함량 분석법 연구)

  • Shin, Yong Woon;Lee, Hwa Jung;Ham, Hyeon Suk;Shin, Sung Cheol;Kang, Yoon Jung;Hwang, Kyung Mi;Kwon, Yong Kwan;Seo, Il Won;Oh, Jae Myoung;Koo, Yong Eui
    • Journal of Food Hygiene and Safety
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    • v.31 no.5
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    • pp.327-334
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    • 2016
  • This study was conducted to establish the standard method for the contents of biotin in milk formulas. To optimize the method, we compared several conditions for liquid extraction, purification and instrumental measurement using spiked samples and certified reference material (NIST SRM 1849a) as test materials. LC-MS/MS method for biotin was established using $C_{18}$ column and binary gradient 0.1% formic acid/acetonitrile, 0.1% formic acid/water mobile phase is applied for biotin. Product-ion traces at m/z 245.1 ${\rightarrow}$ 227.1, 166.1 are used for quantitative analysis of biotin. The linearity was over $R^2=0.999$ in range of $5{\sim}60{\mu}g/L$. For purification, chloroform was used as a solvent for eliminating lipids in milk formula. The linearity was over 0.999 in range of 5~60 ng/mL. The detection limit and quantification limit were 0.10, 0.31 ng/mL. The accuracy and precision of LC-MS/MS method using CRM were 103%, 2.5% respectively. Optimized methods were applied in sample analysis to verify the reliability. All the tested milk formulas were acceptable contents of biotin compared with component specification and standards for nutrition labeling. The standard operating procedures were prepared for biotin to provide experimental information and to strengthen the management of nutrient in milk formula.

Development of Intelligent Severity of Atopic Dermatitis Diagnosis Model using Convolutional Neural Network (합성곱 신경망(Convolutional Neural Network)을 활용한 지능형 아토피피부염 중증도 진단 모델 개발)

  • Yoon, Jae-Woong;Chun, Jae-Heon;Bang, Chul-Hwan;Park, Young-Min;Kim, Young-Joo;Oh, Sung-Min;Jung, Joon-Ho;Lee, Suk-Jun;Lee, Ji-Hyun
    • Management & Information Systems Review
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    • v.36 no.4
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    • pp.33-51
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    • 2017
  • With the advent of 'The Forth Industrial Revolution' and the growing demand for quality of life due to economic growth, needs for the quality of medical services are increasing. Artificial intelligence has been introduced in the medical field, but it is rarely used in chronic skin diseases that directly affect the quality of life. Also, atopic dermatitis, a representative disease among chronic skin diseases, has a disadvantage in that it is difficult to make an objective diagnosis of the severity of lesions. The aim of this study is to establish an intelligent severity recognition model of atopic dermatitis for improving the quality of patient's life. For this, the following steps were performed. First, image data of patients with atopic dermatitis were collected from the Catholic University of Korea Seoul Saint Mary's Hospital. Refinement and labeling were performed on the collected image data to obtain training and verification data that suitable for the objective intelligent atopic dermatitis severity recognition model. Second, learning and verification of various CNN algorithms are performed to select an image recognition algorithm that suitable for the objective intelligent atopic dermatitis severity recognition model. Experimental results showed that 'ResNet V1 101' and 'ResNet V2 50' were measured the highest performance with Erythema and Excoriation over 90% accuracy, and 'VGG-NET' was measured 89% accuracy lower than the two lesions due to lack of training data. The proposed methodology demonstrates that the image recognition algorithm has high performance not only in the field of object recognition but also in the medical field requiring expert knowledge. In addition, this study is expected to be highly applicable in the field of atopic dermatitis due to it uses image data of actual atopic dermatitis patients.

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Establishment of an Analytical Method for Determination of Fungicide Oxathiapiprolin in Agricultural Commodities using HPLC-UV Detector (HPLC-UVD를 이용한 농산물 중 살균제 Oxathiapiprolin의 잔류분석법 확립)

  • Jang, Jin;Kim, Heejung;Do, Jung Ah;Ko, Ah-Young;Lee, Eun Hyang;Ju, Yunji;Kim, Eunju;Chang, Moon-Ik;Rhee, Gyu-Seek
    • Journal of Food Hygiene and Safety
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    • v.31 no.3
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    • pp.186-193
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    • 2016
  • An analytical method was developed for the determination of oxathiapiprolin in agricultural commodities. Oxathiapiprolin is a new oomycide (fungicide of piperidinyl thiazole isoxazoline class) which controls downy mildew in cucurbits caused by Pseudoperonospora cubensis (oomycete plant pathogen). Agricultural commodities were extracted with acetonitrile and partitioned with dichloromethane to remove the interference, adjusting pH between 9 and 10 by 1 N sodium hydroxide. After purification by silica SPE cartridge to clean up the interference of organic compounds, they were finally quantified by HPLC-UVD (high performance liquid chromatograph ultraviolet detector) using a wavelength at 260 nm and confirmed by LC-MS (liquid chromatograph mass spectrometer) in electro-spray ionization positive ion mode. The standard calibration curve was linear with coefficients of determination ($r^2$) 1.00 over the calibration ranges (0.025-2.5 mg/L). Recoveries were ranged between 86.7 to 112.7%, with relative standard deviations less than 10% at three concentration levels (LOQ, 10LOQ, and 50LOQ) performing five replicates. The overall results were determined and estimated according to the CODEX guidelines (CAC/GL40). The proposed method for determination of oxathiapiprolin residues in agricultural commodities can be used as an official method.

Expression of Jun and p53 Genes from the Brain of Rats Irradiated with $^{60}Co{\gamma}$-ray (감마선 조사에 의한 뇌조직의 Jun 및 p53유전자 발현)

  • Kim Yong Seok;Woo Chong Kyu;Lee Yong Sung;Koh Jai Kyung;Chun Ha Chung;Lee Myung Za
    • Radiation Oncology Journal
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    • v.14 no.4
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    • pp.265-279
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    • 1996
  • Damage produced by radiation elicits a complex response in mammalian cells, including growth rate changes and the induction of a variety of genes associated with growth control and apoptosis. At doses of 10,000 cGy or greater, the exposed individual was killed in a matter of minutes to a couple of days, with symptoms consistent with pathology of the central nervous system(CNS) including degenerative changes. The nature of the damage in irradiated cells underlies the unique hazards of ionizing radiation. Radiation injury to CNS is a rare event in clinical medicine, but it is catastrophic for the patient in whom it occurs. The incidence of cerebral necrosis has been reported as high as 16% for doses greater than 6,000 cGy. In this study, the effect of radiation on brain tissue was studied in vivo. Jun and p53 genes in the rat brain were induced by whole body irradiation of rat with 600Co in doses between 1 Gy and 100 Gy and analyzed for expression of jun and p53 genes at the postirradiation time up to 6 hours. Northern analyses were done using 1.8 Kb & 0.8 Kb-pGEM-2-JUN/Eco RI/Pst I fragments, 2.0 Kb-php53B/Bam HI fragment and ,1.1 Kb-pBluescript SK--ACTIN/Eco RI fragment as the digoxigenin or [${\alpha}^{32}P$] dCTPlabeled probes for Jun, p53 and ${\beta}$-actin genes, respectively. Jun gene seemed to be expressed near the threshold levels in 1 hour after irradiation of $^{60}$Co in dose less than 1 Gy and was expressed in maximum at 1 hour after irradiation of $^{60}$Co in dose of 30 Gy. Jun was expressed increasingly with time until 5 or 6 hours after irradiation of $^{60}$Co in doses of 1 Gy and 10 Gy. After irradiation of $^{60}$Co in dose between 20 Gr and 100 Gy, the expression of Jun was however increased to peak in 2 hours and decreased thereafter. p53 gene in this study also seemed to be expressed near the threshold levels in 1 hour after irradiation of $^{60}$Co in dose less than 1 Gy and was expressed in maximum at 6 hours after irradiation of $^{60}$Co in dose of 1 Gy, p53 was expressed increasingly with time until 5 or 6 hours after irradiation of $^{60}$Co in dose between 1 Gy and 40 Gy. After irradiation of $^{60}$Co in doses of 50 Gy and 100 Gy, the expression of p53 was however increased to peak in 2 hours and decreased thereafter. The expression of Jun and p53 genes was not correlative in the brain tissue from rats. It seemed to be very important for the establishment of the optimum conditions for the animal studies relevant to the responses of genes inducible on DNA damage to ionizing radiation in mammalian cells. But there are many limitations to the animal studies such as the ununiform patterns of gene expression from the tissue because of its complex compositions. It is necessary to overcome the limitations for development of in situ Northern analysis.

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Genetic Analysis of Natural Microflora in the Stored Joraengyi Rice Cake and Their Capability of Propionic Acid Production (조랭이 떡에 존재하는 자연균총 유전자 군집분석 및 천연유래 프로피온산 생성능 분석)

  • Park, Hee-Dae;Chae, Jung-Kyu;Ha, Sang-Do
    • Journal of Food Hygiene and Safety
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    • v.33 no.5
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    • pp.375-382
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    • 2018
  • This study was conducted to analyze the microbial community and propionic acid production ability of natural microflora in the rice cakes. Genetic analysis of natural microflora in Jorangyi rice cake was performed to select propionic acid - producing bacteria. Selected propionic acid-producing bacteria were cultivated in TSB (tryptic soy broth) supplemented with glucose, and growth characteristics were analyzed by temperature and production of propionic acid was analyzed by gas chromatography (GC-FID). Linearity, detection limit, quantitative limit, and recovery rate were measured to verify propionic acid assay. A total of 98 microbial strains were detected from microflora of Joraengyi rice cake that grew after expiration of shelf life. Lactobacillus casei group accounted for 50.48% and Lactobacillus buchneri was 29.60%. Propionic acid - producing bacteria were Propionibacterium thoenii, P. cyclohexanicum, Propionibacterium_uc, P. jensenii, and P. freudenreichii. Natural bacteria and Lactobacillus spp. did not produce propionic acid during 14 days but P. cyclohexanicum, P. freudenreichii subsp. Shermanii, P. thoenii and P. jesenii produced $263.47{\mu}g/mL$, $338.90{\mu}g/mL$, $325.43{\mu}g/mL$ and $222.17{\mu}g/mL$ during 4 days and 2,462.02 and 2,904.78, 2,220.64, $3,519.17{\mu}g/mL$ during 14 days. As a result of this study, it was affirmed that the natural microflora of Joraengyi rice cake during storage can produce propionic acid from natural sources even if a high concentration of propionic acid is not intentionally added. Because of characteristics of rice cake composed of starch and glucose. This study will be used as a recognition criterion to detect natural preservatives such as propionic acid in starchy foods such as rice cakes and as reference standard safety management data.

Process Development of a Virally-Safe Acellular Bovine Amniotic Membrane for Biological Dressing (바이러스 안전성이 보증된 무세포 소 양막 생물창상피복재 제조 공정 개발)

  • Bae, Jung-Eun;Kim, Chang-Kyong;Kim, Sung-Po;Yang, Eun-Kyung;Kim, In-Seop
    • Microbiology and Biotechnology Letters
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    • v.38 no.4
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    • pp.420-427
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    • 2010
  • A process for manufacturing virally-safe bovine amniotic membrane(BAM) has been developed for biological dressing. BAM was harvested from a healthy bovine placenta, and then the epithelium was removed. The remaining stromal layer was consecutively disinfected with 70% ethanol and 0.05% sodium hypochlorite. The stromal layer was incubated in a decellularization solution containing 0.25%(w/v) trypsin to remove the cellular components. The resulting acelluar BAM was lyophilized to preserve its biochemical and structural integrity. The BAM was packed and exposed to 25 kGy of gamma irradiation for sterilization purpose. Histological, electron microscopical, and biochemical observations showed that the acellualr BAM had intact structural integrity of three dimensional collagen fibers and contained several growth factors, accelerating wound healing, such as EGF (Epidermal growth factor), KGF (Keratinocyte growth factor), and FGF (Fibroblast growth factor). Bovine herpes virus (BHV), bovine viral diarrhoea virus (BVDV), bovine parainfluenza virus type 3 (BPIV-3), and bovine parvovirus (BPV) were chosen as the biological indicators for validation of viral safety of the acellular BAM. Samples from relevant stages of the production process were spiked with each virus and subjected to viral inactivation processes. Viruses were recovered from the samples and then titrated immediately. All the viruses tested were completely inactivated to undetectable levels within 1 h of 70% ethanol treatment. Enveloped viruses such as BHV, BVDV, and BPIV-3 were more effectively inactivated than BPV by 0.05% sodium hypochlorite treatment. BHV, BVDV, and BPIV-3 were completely inactivated to undetectable levels by 25 kGy of gamma irradiation. Also BPV was effectively inactivated by 25 kGy of gamma irradiation. The cumulative log reduction factors of BHV, BVDV, BPIV-3, and BPV were ${\geq}$13.30, ${\geq}$14.32, ${\geq}$15.22, and ${\geq}$7.57, respectively. These results indicate that the production process for acelluar BAM has a sufficient virus-reducing capacity to achieve a high margin of the virus safety.

A Spatial Statistical Approach to Migration Studies: Exploring the Spatial Heterogeneity in Place-Specific Distance Parameters (인구이동 연구에 대한 공간통계학적 접근: 장소특수적 거리 패러미터의 추출과 공간적 패턴 분석)

  • Lee, Sang-Il
    • Journal of the Korean association of regional geographers
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    • v.7 no.3
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    • pp.107-120
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    • 2001
  • This study is concerned with providing a reliable procedure of calibrating a set of places specific distance parameters and with applying it to U.S. inter-State migration flows between 1985 and 1900. It attempts to conform to recent advances in quantitative geography that are characterized by an integration of ESDA(exploratory spatial data analysis) and local statistics. ESDA aims to detect the spatial clustering and heterogeneity by visualizing and exploring spatial patterns. A local statistic is defined as a statistically processed value given to each location as opposed to a global statistic that only captures an average trend across a whole study region. Whereas a global distance parameter estimates an averaged level of the friction of distance, place-specific distance parameters calibrate spatially varying effects of distance. It is presented that a poisson regression with an adequately specified design matrix yields a set of either origin-or destination-specific distance parameters. A case study demonstrates that the proposed model is a reliable device of measuring a spatial dimension of migration, and that place-specific distance parameters are spatially heterogeneous as well as spatially clustered.

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Management of Naturalized Citizens from Yeozin and Its Limitation Through the Event of Guilsang(吉尙) in the Early 17th Century - Centering on 『Naturalization Registration』 (길상사건(吉尙事件)을 통해 본 17세기 초 향화호인(向化胡人) 관리 실태와 한계 - 『향화인등록(向化人謄錄)』을 중심으로 -)

  • Yi, Sun Hui
    • (The)Study of the Eastern Classic
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    • no.37
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    • pp.93-126
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    • 2009
  • This study is about a event, which happened on January of 1603 in Hamheung. It has covered from the beginning through the conclusion of the event. The event was ignited by a naturalized citizen, Guilsang's coming to the capital city without permission from the government. With this study I've wished to find the situations of specific management of naturalized citizens as well as popular attitudes towards them at the time. Concerning with the event of Guilsang, I could find more detailed situations from "Naturalization Registration". The reason why Guilsang came to Seoul was that he wanted to ask for living together with his son-in-law's family in Yang-Ju. Before his coming, Bie-Byun-Sa had sent a official letter to the governor of Hamkyung-Do so that he had had to move somewhere between Anbyun and Yung-heung. But Guilsang had wanted to live with his whole family in Seoul. The place he visited first was Sa-Yuk-Won. He presented his petition through Yeozin language translator there. Sa-Yuk-Won then informed Ye-Jo to have him investigated. After its investigation, Ye-Jo reported to the king. There were arguments about Guilsang family in the government. Guilsang had wanted to live with his whole family, including his relatives and son-in-law. Guilsang's request had more pros than cons in terms of humanism. But letting him live in Seoul was a difficult decision for the government. but his family strenuously insisted on living in Seoul, trying to kill itself. Finally Government selected Yong-In which was a compromise between the naturalized citizens' wish and difficult position of Government. Yong-In Miejo-Hyun was a poor region where naturalized citizens had lived before but now empty after the wars. In the process of the event of Guilsang, Government differentiated naturalized citizens from general citizens and regarded them foreign. A man from Yeozin was naturalized due to economic reason. But, he couldn't accept to live somewhere except Seoul, separating from his family. Government concerned with dangers of naturalized citizen becoming into foreign agents and stabilization of borders. These concerns caused the policy of residential control and decentralization of naturalized citizens failed.

Nonlinear Vector Alignment Methodology for Mapping Domain-Specific Terminology into General Space (전문어의 범용 공간 매핑을 위한 비선형 벡터 정렬 방법론)

  • Kim, Junwoo;Yoon, Byungho;Kim, Namgyu
    • Journal of Intelligence and Information Systems
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    • v.28 no.2
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    • pp.127-146
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    • 2022
  • Recently, as word embedding has shown excellent performance in various tasks of deep learning-based natural language processing, researches on the advancement and application of word, sentence, and document embedding are being actively conducted. Among them, cross-language transfer, which enables semantic exchange between different languages, is growing simultaneously with the development of embedding models. Academia's interests in vector alignment are growing with the expectation that it can be applied to various embedding-based analysis. In particular, vector alignment is expected to be applied to mapping between specialized domains and generalized domains. In other words, it is expected that it will be possible to map the vocabulary of specialized fields such as R&D, medicine, and law into the space of the pre-trained language model learned with huge volume of general-purpose documents, or provide a clue for mapping vocabulary between mutually different specialized fields. However, since linear-based vector alignment which has been mainly studied in academia basically assumes statistical linearity, it tends to simplify the vector space. This essentially assumes that different types of vector spaces are geometrically similar, which yields a limitation that it causes inevitable distortion in the alignment process. To overcome this limitation, we propose a deep learning-based vector alignment methodology that effectively learns the nonlinearity of data. The proposed methodology consists of sequential learning of a skip-connected autoencoder and a regression model to align the specialized word embedding expressed in each space to the general embedding space. Finally, through the inference of the two trained models, the specialized vocabulary can be aligned in the general space. To verify the performance of the proposed methodology, an experiment was performed on a total of 77,578 documents in the field of 'health care' among national R&D tasks performed from 2011 to 2020. As a result, it was confirmed that the proposed methodology showed superior performance in terms of cosine similarity compared to the existing linear vector alignment.

Social Backgrounds and Clan Politics of Kazakhstan Elites: Focusing on Elites from Junior Zhuz (카자흐스탄 엘리트의 사회배경과 씨족 정치: 소주즈(Zhuz) 출신 엘리트를 중심으로)

  • Bang, Ilkwon
    • Journal of International Area Studies (JIAS)
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    • v.14 no.1
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    • pp.77-106
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    • 2010
  • As for the matter of guardianship-benefit network which has been at the heart of the discussion of power elites and clan politics in Kazakhstan, it has been often maintained that it is basically formed by the framework of the regional and descent connection net called Zhuz or at least it has been heavily under Zhuz's influence. But it is pointed out that the controversy of Zhuz suffers from a lot of limitations in explaining the surface of power elites in the recent process of political changes and the rearrangement of power relations. Consequently, this paper tried to take a closer look at the matter focusing on the social backgrounds of elites from Junior zhuz, who have been estimated to be relatively pushed back in terms of the advancement into the central power. As a result, it was found that the backgrounds of clan and tribe origin within Zhuz couldn't have any foundation to be seen as a decisive element through which they could grow into power elites. The phenomenon of Kazakhstani elites is a legacy of concrete historic situations. The important consideration points for analyzing the emergence of elites which could be applied to a nomadic and traditional society can hardly be an invariable framework for analyzing modern elites since independence. Since 2000, Kazakhstan has experienced economic changes including privatization due to the absolute strengthening of presidential influence which turned into a foundation for a new authoritarian system, the rearrangement of the inner circle of power, and their decisions. These changes in situations have had profound effects on the character of power elites. The phenomenon that clandestine connections have shown their appearances as they have gotten intertwined with various factors, in particular, in the economic field which has been heavily under Junior zhuz makes us convinced that the elite organization in Kazakhstan has always been the product of political and economic changes. In reality, the behaviors of elites were the outcome continuously reflecting environmental situations surrounding them, and those situations lie in a complicated and multiple-layered connection net. Therefore, it is believed that having interests in elites' social backgrounds and maintaining many pieces of information on them will be able to be a more useful approach to analyzing the elite society in the future in that interests in their social backgrounds become an informant of various network formation nets which reflect real situations.