• 기록학연구
• /
• 제71호
• /
• pp.49-89
• /
• 2022

본 연구는 전거레코드 구축 및 공유를 위한 목적으로 진행된 'Social Networks and Archival Context' 프로젝트 사례를 통해 문화유산기관 간에 분산 소장된 역사적 정보원에 대한 통합적 접근과 기록에 대한 보다 풍부한 검색과 이해를 촉진하는 국가적 전거데이터베이스 구축의 필요성과 국내 적용 방안을 제시하였다. SNAC 프로젝트는 NARA 주도의 국제적 협력체 조직으로 전환되면서 지속가능한 운영체계를 확보하고 협력적 전거통제를 실현할 수 있었다. 또한 SNAC 전거레코드는 도서관에 비해 풍부한 생애와 역사에 관한 맥락 정보와 사회적·지적 네트워크 정보를 제공한다는 특징을 가진다. 사례분석을 통해 첫째, SNAC 처럼, 국가기록원이 주도하고 국립중앙도서관이 공동 오너쉽을 갖는 협력체가 개발을 주도하고 참여기관의 범위를 넓혀나가야 한다. 둘째, 협력의 방식에서 특장점을 가진 분야별로 분담하는 구조를 취하되, 두 기관이 참여하는 운영 주체가 주요한 의사결정을 하도록 한다. 셋째, 전거데이터 구축 시 다양한 포맷의 기술정보를 수집할 수 있는 확장가능한 오픈소스소프트웨어 개발, 기록관리 전거레코드의 구조와 요소로 설계, 전거레코드의 품질을 통제할 수 있는 기능 설계, 이용자 친화적 인터페이스 구축 및 콘텐츠적 요소가 반영된 플랫폼 설계가 필요함을 제시하였다.

• 복식
• /
• 제18권
• /
• pp.225-245
• /
• 1992

The button is a part of costume. But it has the symbolism of costume in itself and reflects the sociocultural phenomena. The purpose of this study is to clarify symbolism of button of eighteenth and nineteenth century which had been most popular. This study is based on the library research. Through this paper, I reached conclusions as follows. The symbolism of button is found in various ways. First, Aesthetics is found in material, color, design and type etc. of button. Especially Indian silver button of abstract type shows well distinctive aesthetics of Indians. Second, The material and the number of button vary with one's status and show off one's privilege. I England, there was the rule, in which the symbol of the King was a silver button with a figure of lion. The livery button represents his family to the nble and shows the meaning of obedience to the servant. Third, The button on uniform varies with ranks. This is prominent in a uniform of a soldier or a policeman. Fourth Material and craft of button show one's economic position. The button gives a Very good picture of what one's life was then. Precious button with gold, silver, and other jewels is an index to one's property. Fifth, The button of political event is used for election, which shows the face and the name of runner. Besides that, there were buttons designed for the flag or the slogan for political event. Sixth, The button of social event reflects a social phase of life in war or revolution, for example, it satirizes the burning of the Bastille in the French Revolution, or the taxpayer bearing the burden. Seventh, the buttons that symbolize a historic event are made to commemorante an epochal and critical occurrence or an important person's birth, death, visit to some place, etc., Eighth, there were well-known persons, for example, a president, a king, a queen, a singer, or an artist in the buton of personality. Nineth, The button of one's company shows one's community in figures or pictures, that is, this button is used as a symbol one's community. Tenth, The button varies with the development of science and technology. It gives a very good picture of what it was and what the technological level was. Eleventh, The buttons that symmbolize on occupation most impressively are uniform buttons. Symbolic marks related with a particular occupation are carved on the buttons of compary employees' uniforms. Twelfth, Various natural phenomena are designed to appear on buttons, Some express themselves simply as they are, and others appear as a symbolic form such as environmental relationship between men and nature, four seasons, a constellation and all other natural things occurring during a year. Finally, The button of rebus is a motto expressed by a combination with objects figures, letters, words, or phrases.

• Asian-Australasian Journal of Animal Sciences
• /
• 제20권7호
• /
• pp.1057-1066
• /
• 2007

Six male Gayal (Bos frontalis), approximately two years of age and with a mean live weight of $203{\pm}17$ kg ($mean{\pm}standard\;deviation$), were housed indoors in metabolism cages and fed bamboo (Sinarundinaria) leaves and twigs. After an adjustment period of 24 days of feeding the diet, samples of rumen liquor were obtained for analyses of bacteria in the liquor. The diversity of rumen bacteria was investigated by constructing a 16S rDNA clone library. A total of 147 clones, comprising nearly full length sequences (with a mean length of 1.5 kb) were sequenced and submitted to an on-line similarity search and phylogenetic analysis. Using the criterion of 97% or greater similarity with the sequences of known bacteria, 17 clones were identified as Ruminococcus albus, Butyrivibrio fibrosolvens, Quinella ovalis, Clostridium symbiosium, Succiniclasticum ruminis, Selenomonas ruminantium and Allisonella histaminiformans, respectively. A further 22 clones shared similarity ranging from 90-97% with known bacteria but the similarity in sequences for the remaining 109 clones was less than 90% of those of known bacteria. Using a phylogenetic analysis it was found that the majority of the clones identified (57.1%) were located in the low G+C subdivision, with most of the remainder (42.2% of clones) located in the Cytophage-Flexibacter-Bacteroides (CFB) phylum and one clone (0.7%) was identified as a Spirochaete. It was apparent that Gayal have a large and diverse range of bacteria in the rumen liquor which differ from those of cattle and other ruminants. This may explain the greater live weights of Gayal, compared to cattle, grazing in the harsh natural environments in which Gayal are located naturally.

• Asian Pacific Journal of Cancer Prevention
• /
• 제15권22호
• /
• pp.9731-9737
• /
• 2014

Large scale secular registry or surveillance systems have been accumulating vast data that allow mathematical modeling of cancer incidence and mortality rates. Most contemporary models in this regard use time series and APC (age-period-cohort) methods and focus primarily on predicting or analyzing cancer epidemiology with little attention being paid to implications for designing cancer registry, surveillance or evaluation initiatives. This research models age-specific cancer incidence rates using logistic growth equations and explores their performance under different scenarios of data completeness in the hope of deriving clues for reshaping relevant data collection. The study used China Cancer Registry Report 2012 as the data source. It employed 3-parameter logistic growth equations and modeled the age-specific incidence rates of all and the top 10 cancers presented in the registry report. The study performed 3 types of modeling, namely full age-span by fitting, multiple 5-year-segment fitting and single-segment fitting. Measurement of model performance adopted adjusted goodness of fit that combines sum of squred residuals and relative errors. Both model simulation and performance evalation utilized self-developed algorithms programed using C# languade and MS Visual Studio 2008. For models built upon full age-span data, predicted age-specific cancer incidence rates fitted very well with observed values for most (except cervical and breast) cancers with estimated goodness of fit (Rs) being over 0.96. When a given cancer is concerned, the R valuae of the logistic growth model derived using observed data from urban residents was greater than or at least equal to that of the same model built on data from rural people. For models based on multiple-5-year-segment data, the Rs remained fairly high (over 0.89) until 3-fourths of the data segments were excluded. For models using a fixed length single-segment of observed data, the older the age covered by the corresponding data segment, the higher the resulting Rs. Logistic growth models describe age-specific incidence rates perfectly for most cancers and may be used to inform data collection for purposes of monitoring and analyzing cancer epidemic. Helped by appropriate logistic growth equations, the work vomume of contemporary data collection, e.g., cancer registry and surveilance systems, may be reduced substantially.

• Journal of Microbiology and Biotechnology
• /
• 제18권7호
• /
• pp.1290-1297
• /
• 2008

To investigate the diversities of Accumulibacter phosphatis and its polyhydroxyalkanoate (PHA) synthase gene (phaC) in enhanced biological phosphorus removal (EBPR) sludge, an acetate-fed sequencing batch reactor was operated. Analysis of microbial communities using fluorescence in situ hybridization and 16S rRNA gene clone libraries showed that the population of Accumulibacter phosphatis in the EBPR sludge comprised more than 50% of total bacteria, and was clearly divided into two subgroups with about 97.5% sequence identity of the 16S rRNA genes. PAO phaC primers targeting the phaC genes of Accumulibacter phosphatis were designed and applied to retrieve fragments of putative phaC homologs of Accumulibacter phosphatis from EBPR sludge. PAO phaC primers targeting $G_{1PAO},\;G_{2PAO},\;and\;G_{3PAO}$ groups produced PCR amplicons successfully; the resulting sequences of the phaC gene homologs were diverse, and were distantly related to metagenomic phaC sequences of Accumulibacter phosphatis with 75-98% DNA sequence identities. Degenerate NPAO (non-PAO) phaC primers targeting phaC genes of non-Accumulibacter phosphatis bacteria were also designed and applied to the EBPR sludge. Twenty-four phaC homologs retrieved from NPAO phaC primers were different from the phaC gene homologs derived from Accumulibacter phosphatis, which suggests that the PAO phaC primers were specific for the amplification of phaC gene homologs of Accumulibacter phosphatis, and the putative phaC gene homologs by PAO phaC primers were derived from Accumulibacter phosphatis in the EBPR sludge. Among 24 phaC homologs, a phaC homolog (GINPAO-2), which was dominant in the NPAO phaC clone library, showed the strongest signal in slot hybridization and shared approximately 60% nucleotide identity with the $G_{4PAO}$ group of Accumulibacter phosphatis, which suggests that GINPAO-2 might be derived from Accumulibacter phosphatis. In conclusion, analyses of the 16S rRNA and phaC genes showed that Accumulibacter phosphatis might be phylogenetically and metabolically diverse.

• Animal Bioscience
• /
• 제35권11호
• /
• pp.1698-1710
• /
• 2022

Objective: Raw potato starch (RPS) is resistant to digestion, escapes absorption, and is metabolized by intestinal microflora in the large intestine and acts as their energy source. In this study, we compared the effect of different concentrations of RPS on the intestinal bacterial community of weaned piglets. Methods: Male weaned piglets (25-days-old, 7.03±0.49 kg) were either fed a corn/soybean-based control diet (CON, n = 6) or two treatment diets supplemented with 5% RPS (RPS5, n = 4) or 10% RPS (RPS10, n = 4) for 20 days and their fecal samples were collected. The day 0 and 20 samples were analyzed using a 16S rRNA gene sequencing technology, followed by total genomic DNA extraction, library construction, and high-throughput sequencing. After statistical analysis, five phyla and 45 genera accounting for over 0.5% of the reads in any of the three groups were further analyzed. Furthermore, short-chain fatty acids (SCFAs) in the day 20 fecal samples were analyzed using gas chromatography. Results: Significant changes were not observed in the bacterial composition at the phylum level even after 20 d post feeding (dpf); however, the abundance of Intestinimonas and Barnesiella decreased in both RPS treatment groups compared to the CON group. Consumption of 5% RPS increased the abundance of Roseburia (p<0.05) and decreased the abundance of Clostridium (p<0.01) and Mediterraneibacter (p< 0.05). In contrast, consumption of 10% RPS increased the abundance of Olsenella (p<0.05) and decreased the abundance of Campylobacter (p<0.05), Kineothrix (p<0.05), Paraprevotella (p<0.05), and Vallitalea (p<0.05). Additionally, acetate (p<0.01), butyrate (p<0.05), valerate (p = 0.01), and total SCFAs (p = 0.01) were upregulated in the RPS5 treatment group Conclusion: Feeding 5% RPS altered bacterial community composition and promoted gut health in weaned piglets. Thus, resistant starch as a feed additive may prevent diarrhea in piglets during weaning.

• Journal of Dental Anesthesia and Pain Medicine
• /
• 제22권5호
• /
• pp.323-338
• /
• 2022

Burning mouth syndrome (BMS) is a chronic oral disorder of unknown etiology which presents therapeutic challenges. Alpha-lipoic acid (ALA) has been studied as a potential treatment for BMS. The objective of this systematic review and meta-analysis was to evaluate the effectiveness of ALA compared to that of placebo or other interventions in individuals with BMS. Randomized controlled trials (RCT) using ALA to treat BMS were identified from MEDLINE, Cochrane Library, EMBASE, and Web of Science up to February 3, 2021. The assessment of the risk of bias in the included studies was based on the Cochrane guidelines. The primary outcome evaluated was the visual analog scale (VAS) pain intensity. ALA was compared with placebo, clonazepam, gabapentin, pregabalin, ALA plus gabapentin, capsaicin, Biotène^®, and laser therapy. Altogether, 137 records were scanned for inclusion/exclusion, and nine RCTs (two unclear and seven at high risk of bias) were included in the qualitative and quantitative analyses, with a total of 594 patients with BMS included in this review. All studies reported an improvement in VAS pain scores ranging from -0.72 to -2.77. Meta-analysis results showed a non-significant reduction in pain intensity for ALA (P = 0.616) compared to that of placebo on a VAS of 0-10. Patients taking ALA were 1.923 times more likely to show an improvement in self-reported BMS symptoms (P = 0.031) than those in the placebo group. Clonazepam and pregabalin showed a significant VAS pain reduction of 4.08 and 4.68 (P < 0.001), respectively, compared to that with ALA. Although ALA intervention provided a non-significant improvement in the pain score and was more likely to produce a reduction in BMS symptoms, the evidence was of low quality. Further research is needed to establish clear guidelines for the use of ALA for BMS treatment.

• 생물환경조절학회지
• /
• 제33권1호
• /
• pp.63-70
• /
• 2024

본 연구는 오픈소스 라이브러리인 OpenCV를 활용해 다양한 시설과채류의 표현형 분석에 적용 가능한 컴퓨터 비전 기술을 탐구하였다. 토마토에 대해서는 이미지의 색상을 분석하여 숙성도를 판정하며, support vector machine(SVM) and histogram of oriented gradients 기법을 통해 숙성된 토마토를 효과적으로 검출하였다. 파프리카의 경우, 색상 분포를 시각화한 후, 가우스 혼합 모델로 클러스터링을 실행하여 수확 파프리카의 색상 특성을 분석하였다. 네트 멜론의 품질 평가에서는 LAB 색상 공간, 이진화 이미지 및 깊이 매핑을 활용하여 멜론의 네트 패턴을 정량화하였다. 추가로, 오이 온실에서 화방 검출을 위해 깊이 정보와 색상 정보를 조합하여 다양한 크기와 거리의 화방을 성공적으로 검출하였다. 이 연구의 결과로, 해당 컴퓨터 비전 기술들이 시설과채류의 생장 모니터링, 숙성 및 품질 평가 등에서의 유효성을 확인하였다. 농산업에서 컴퓨터 비전의 효과적 적용을 위해, 후속 연구자나 개발자들이 재배 생리와 연관된 지표를 기반으로 이 기술들을 보완할 경우, 실제 농업 현장 및 연구에서 널리 활용될 가능성이 크다.

• Journal of Life Science
• /
• 제11권1호
• /
• pp.57-64
• /
• 2001

The cDNA encoding human NeuAc ${\alpha}$2,3Gal$\beta$ 1,3GalNAc GalNac ${\alpha}$2,6-Sialyltransferase (hST6GalNac IV) was isolated by screening of human fetal liver cDNA library with a DNA probe generated from the cDNA sequence of mouse ST6Gal NAc IV (mkST6GalNAc IV). The cDNA sequence included an open reading frame coding for 302 amino acids, and comparative analysis of this cDNA with mST6GalNAc IV showed that each sequence of the predicted coding region contains 88% and 85% identifies in nucleotide and amino acid levels, respecively. The primary structure of this enzyme suggested a putative domain structure, like that in other glycosyltransferases, consisting of a short N-terminal cytoplamic domain, a transmembrane domain and a large C-terminal active domain. This enzyme expressed in COS-7 cells echibited transferase activity toward NeuAc ${\alpha}$2,3Gal$\beta$ 1,3GalNAc, fetuin and GM1b, although the activity toward the later is very low, no significant activity being detected toward Gal${\beta}$ 1,3Gal NAc or asialofetuin, the other glycoprotein substrates tested. The $^{14}$ C-sialylated residue of fetuin sialylated by this enzyem with CMP-[$^{14}$C]NeuAc was sensitive to treatment with ${\alpha}$2,8-specific sialidase of Vibrio cholerae but resistant to treatment with ${\alpha}$2,3-specific sialidase (NaNase I), and ${\alpha}$2,3- and ${\alpha}$2,8-specific sialidase of Newcastle disease virus. These results clearly indicated that the expressed enzyme is a type of GalNAc ${\alpha}$2,6-sialyltransferase like mST6GalNAc IV, which requires sialic acid residues linked to Gal${\beta}$1,3GalNAc-residues for its activity.

• 한국진공학회:학술대회논문집
• /
• 한국진공학회 2012년도 제42회 동계 정기 학술대회 초록집
• /
• pp.239-240
• /
• 2012

With advancements in semiconductor device technologies, manufacturing processes are getting more complex and it became more difficult to maintain tighter process control. As the number of processing step increased for fabricating complex chip structure, potential fault inducing factors are prevail and their allowable margins are continuously reduced. Therefore, one of the key to success in semiconductor manufacturing is highly accurate and fast fault detection and classification at each stage to reduce any undesired variation and identify the cause of the fault. Sensors in the equipment are used to monitor the state of the process. The idea is that whenever there is a fault in the process, it appears as some variation in the output from any of the sensors monitoring the process. These sensors may refer to information about pressure, RF power or gas flow and etc. in the equipment. By relating the data from these sensors to the process condition, any abnormality in the process can be identified, but it still holds some degree of certainty. Our hypothesis in this research is to capture the features of equipment condition data from healthy process library. We can use the health data as a reference for upcoming processes and this is made possible by mathematically modeling of the acquired data. In this work we demonstrate the use of recurrent neural network (RNN) has been used. RNN is a dynamic neural network that makes the output as a function of previous inputs. In our case we have etch equipment tool set data, consisting of 22 parameters and 9 runs. This data was first synchronized using the Dynamic Time Warping (DTW) algorithm. The synchronized data from the sensors in the form of time series is then provided to RNN which trains and restructures itself according to the input and then predicts a value, one step ahead in time, which depends on the past values of data. Eight runs of process data were used to train the network, while in order to check the performance of the network, one run was used as a test input. Next, a mean squared error based probability generating function was used to assign probability of fault in each parameter by comparing the predicted and actual values of the data. In the future we will make use of the Bayesian Networks to classify the detected faults. Bayesian Networks use directed acyclic graphs that relate different parameters through their conditional dependencies in order to find inference among them. The relationships between parameters from the data will be used to generate the structure of Bayesian Network and then posterior probability of different faults will be calculated using inference algorithms.