• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2000.05a
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• pp.265-266
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• 2000

자주복, Takifugu rubripes은 경골어류 복어목 참복과에 속하고, 우리 나라 전 연안 및 일본 훗카이도 이남, 중국 등지에 분포하며 전장 70 cm이상까지 성장하는 대형어이다(Abe, 1949). 어류는 자어기에 내부영양에서 외부영양으로 영양원이 전환되는 초기생활사에 있어 소화 기관계의 변화가 일어나고, 치어기의 생장과 생존에 크게 영향을 미친다고 제시하고 있다(Lee, 1988). 이 연구는 소화흡수와 직접 관련된 자주복 부화 자·치어의 각 성장단계에 따른 소화 기관의 형태적 기능적 분화과정을 조직학적으로 관찰하여, 종묘생산 과정에서의 초기 대량 폐사를 줄이고, 적절한 먹이 투여시기에 의한 보다 나은 성장률을 얻는데 중요한 기초자료를 제공하고자 한다. (중략)

• Proceedings of the Optical Society of Korea Conference
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• 1995.06a
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• pp.75-83
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• 1995

In-situ, 실시간 측정을 위해 상업화 모형의 He-Ne 타원해석기 및 고속 분광 타원해석기(SE, Spectoscopic Ellipsometer)를 제작하였다. 후자의 경우 1024개의 화소를 가진 광학 다채널분석기 (OMA, Optical Multichannel Analyzer)를 이용한 RP형 분광타원해석기로써 1.5∼5.0eV의 측정 파장대역을 가지며, 한 스펙트럼의 측정시간은 약 100msec이다. cos 와 tanΨ의 정확도는 각각 약0.01이하로 측정되었다. 이러한 in-situ 타원해석기들을 사용하여 Au, ZnS 박막들의 성장 초기단계에서의 박막구조의 변화, 성장속도 그리고 HF식각후의 Si 자연산화층(SiO2)의 초기 성장과정을 밝히고 SiO2/c-Si 시료의 온도를 비 접촉적, 비간석적으로 기존의 방법에 의한 결과와 비교하였다.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.21 no.4
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• pp.153-157
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• 2011

We have investigated the effect of inductively coupled plasma (ICP) treatment on the early growth stage of heteroepitaxial Ge layers grown on Si(100) substrates using low pressure chemical vapor deposition (LPCVD), The Si(100) substrates were treated by ICP process with various source and bias powers, followed by the Ge deposition, The ICP treatment led to the enhancement in the coalescence of Ge islands, The growth rate of Ge on Si(100) with ICP surface treatment is about 5 times higher than that without ICP surface treatment. A missing dimer caused by the ICP surface treatment can act as a nucleation site for Ge adatoms, which could be responsible for the improvement in growth behavior of Ge on Si(100) substrates.

• 한국해양학회지
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• v.21 no.1
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• pp.25-33
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• 1986

Ontogenetic food habits of the four most abundant fish species in seagrass neadows of Redfish Bay, Texas, were examined quantitatively during 1982-1983. The darter goby (Gobionellus bolelsoma) and pinfish (Lagodon rhomboides) were trophic generalists, which used a wide range of food items. The darter goby had relatively diverse, omnivorous diet which included amphipods, copepods, polychaetes, filamentous algae, diatoms, and detritus. This species did not show distinct ontogenetic changes in foodpreferences. Unlike the darter goby, the pinfish showed ontogenetic progression of four feeding stages. An initial feeding stage was a planktivorous stage in which copepods were int major food items, followed by a carnivorous stage in which amphipods became the major food items, an omnivorous stage in which filamentous algae, diatoms, amphipods, and polychaetes were the major food items, and finally a herbivorous stage in which seagrass pieces with attached epiphytes and their debris were the major food items. The code goby (Gobiosoma robustrm) and Gulf pipefish (Syngathus scovelli) appeared to be relatively specialized in food havits as carnivorous. Similar ontogenetic changes in food habits were observed for these two species, i.e.initially, copepods were the major food items, followed by a gradual transition to amphipods with growth.

• The Korean Journal of Malacology
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• v.15 no.1
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• pp.41-47
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• 1999

From September 1994 to April 1996, we observed the suspending time dependant meat increase (dry weight) for oysters at Pukman Bay in Korea. The oysters which suspended in September increased to 5 g in meat weight (dry weight) by January. Ones in June increased rapidly but lessened during summer and this stagnation of meat increase extended to autumn. It took long time to compensate for the loss of meat weight owing to spawning. Oysters suspended in July or August showed low growth or stagnation due to the high water temperature and spawning activities after suspending. However, meat weight showed sudden increasement after December and achieved 5 g at the late farm period. The meat increase of oysters suspended in October or November was very slow during entire growing period. Most of them did not achieved 5 g during farm period. The negative correlation was observed between meat growth and water temperature in September. Also, there was a high correlation between meat growth and chlorophyll-a. It was believed that deficiency of food organisms in the water column lead slow growth in terms of meat growth, particularly right after transplanting seed oysters to the farm. Our study suggests that proper time for transplanting oysters is between August and mid-September. However, the data indicate that good growth of oysters is depending upon amount of food available in the water column.

• Korean Journal of Cleft Lip And Palate
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• v.5 no.2
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• pp.117-122
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• 2002

성장기 환자에서의 각 부위별 임플란트 식려 시기를 요약해보면 다음과 같다. 1) 상악전방부 : 외상이나 선천적 결손을 해결하는 방법으로 임플란트를 사용하는 술식이 권장하지만 성장이 완료되지 않았기 때문에 야기되는 문제를 해결하기 위해 성장이 완료될 때까지 연기하는 것이 좋다. 2)상악 후방부: 수직적인 성장량이 최고 1cm까지 일어날 수 있으면 상악동의 흡수로 조기에 임플란트 침강과 치근부의 노출을 야기할 수 있다. 그리고 동시에 보철에 의한 구개열의 횡적인 성장방해를 피해야한다. 3) 하악 전방부 : 무치증 아이에서 임플란트의 조기식립이 적응증이 되는 유일한 곳으로 치아가 없을 때는 치조골의 성장이 최소이며 초기에 횡적, 후방 성장이 대부분 완료된다. 그러나 단일 임플란트 식립은 권장되지 않는다. 4)하악후방부: 늦게까지 성장변화가 지속되기 때문에 전후방, 횡적, 수직적 성장의 많은 양이 일어난다. 하악의 회전성장의 영향을 많이 받아 하악 무치악에서 조기 임플란트 사용한 보고도 적고. 자연치아에 인접하여 임플란트를 식립한 기록은 있으나 골격성장이 완료될 때 까지는 식립하지 않는 것이 좋다.

• Korean Journal of Poultry Science
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• v.44 no.4
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• pp.259-265
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• 2017

This study was to investigate the effect of chick weight in the early growth period on market-weight of Korean native chickens (KNCs). We measured the body weights of 1,087 chickens (male 479, female 608) of 13 KNC strains at 1-84 days of age at two week intervals. The growth performance of the 13 KNC strains was investigated. Correlation coefficients among the weights of chickens in each growth period and regression of market-weight on early chick weights were analyzed. The results showed that the average body weight of 70-day-old KNCs was 1,962g: 2,154g and 1,819.7g for males and females, respectively. The equation for regression of body weight on age was estimated as $\hat{Y}=0.1347X^2+18.738X-40.134$ ($R^2=0.9418$). Using this regression equation, the duration required to attain a KNC market-weight of 2 kg was estimated as 71.8 days. All the correlation coefficients between early chick weight and market-weight were significantly positive. Although the correlation coefficients among the chick weights in each growth period decreased with increase in age interval, early growth weight had a significant effect on late growth performance. The correlation coefficient between market-weight at 70-days and chick weight at 1-day was estimated to be a low as 0.10-0.13. In the estimations of market-weight correlation coefficients, correlation coefficient and coefficient of determination were high in the female and male chicks after 28-days and 42-days of age, respectively. The results of the analysis of correlation and regression between early chick weight and market-weight of KNCs showed that market-weight could be predicted based on the weights of 28-day-old females and 42-day-old males.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.2
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• pp.49-62
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• 2016

Technology-based start-ups have great economic ripple effect such as economic growth and job creation. Therefore, a strategic approach is required in order for such start-ups to continuously grow. However, many technology-based start-ups do not survive the Death-Valley and are being eliminated from the market. This is an empirical study on influencing variables that have impact on their performance. This study presents growth intention and influencing variables that have impact on performance (financial performance, technological performance) based on previous research on technology-based start-up. Also, this study examines the relationship between entrepreneurial competence, team commitment and growth intention, and finds the effect of controlling business-network. Structural equation modeling was performed in order to test the research hypothesis. Survey was conducted on the firms that have been certified by Youth Startup Academy of Small and Medium Business Corporation. A total of 306 samples were collected from the survey. An empirical test was conducted on the research hypothesis using SPSS 21.0 and Amos 22.0. The result of hypothesis test shows that growth intention has positive influence on both financial and technological performance, and entrepreneurial competence (technological competence, strategic management competence, creative competence and team commitment) has positive influence on growth intention. Also, the research proved that business-network has regulation effect between human resource trait and growth intention. The result of our study will provide practical insight to future start-ups for continuous growth and successful running of their firm.

• Proceedings of the Materials Research Society of Korea Conference
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• 1994.05a
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• pp.95-95
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• 1994

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.127-135
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• 2020

The purpose of this paper is to classify individual startups by growth stage based on data-based quantitative criteria. This is to provide a basis for systematic support for government startups based on accurate statistics on the startup growth process. This startups were the TIPS (Tech Incubator Program for Startup) support company, which used a relatively reliable startup. We found seed money to complete MVP (Minimum Viable Product) within 1.5 years after establishment, verified PMF (Product-Market Fit) within 1 year, attracted Series A investment within 2.5 years after establishment, and successfully commercialized it. It attracted Series B investment for stable growth within 1.5 years (Series B investment within 4 years from start-up). The results of the study, the division of government programs that support stage-based startup commercialization, that is, within three years and within seven years of establishment, is significant to date. Three directions are suggested for future research. First, develop indicators for monitoring startup growth stages. Second, it continuously updates the annual changes and tracks the growth stages of individual startups. Third, we discover the successful growth law of technology-based startups by applying in-depth case analysis of successful startups to the model.