• Title/Summary/Keyword: selection and concentration

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A New Selection System for Pepper Regeneration by Mannose

  • Kim, Joo-Yean;Min Jung;Kim, Hyo-Soon;Lee, Yun-Hee;Park, Soon-Ho;Lim, Yong-Pyo;Min, Byung-Whan;Yang, Seung-Gyun;Harn, Chee-Hark
    • Journal of Plant Biotechnology
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    • v.4 no.3
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    • pp.129-134
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    • 2002
  • We report the development of a new selection system for the transformation of pepper plants by mannose. In order to achieve this, we first tested several factors related to regeneration conditions. Among the 30 inbred lines examined, line P9l5 was able to generate shoots at the highest rate from both cotyledons and hyporotyls in MS media. A dosage curve for optimizing the selection conditions was established by mixing mannose (range 0-50 g/L) and sucrose (range 0-30 g/L). The least selection pressure on shoot formation was created by a mixture of sucrose and mannose at 20 g/L and 15 g/L, respectively, and the threshold for ultimate tissue death was 50 g/L of mannose irrespective of the sucrose concentration. However, we found that mannose itself was not the sole inhibitor of pepper shoot development. High concentrations of sucrose (30 g/L) contributed additively to the inhibition of shoot formation at higher mannose concentrations. Genotype preference is a major factor that enhances regeneration ability in mannose media, as was observed in MS media. P9l5 and P410 line had high regeneration rates under mannose selection conditions in the presence of Agrobacterium infection. Different virulence levels of Agrobacterium strains did change the regeneration rates, probably due to interaction with the specificities of the inbred lines. Taken together, P9l5 offers the best pepper inbred line for transformation and we recommend a selection condition of 20 g/L of sucrose and 15 g/L or more of mannose up to 50 g/L in media.

Rapid Selection of Multiple Gene Integrant for the Production of Recombinant Hirudin in Hansenula polymorpha

  • Kim Hwa Young;Sohn Jung Hoon;Kim Chul Ho;Rao K. Jagannadha;Choi Eui Sung;Kim Myung Kuk;Rhee Sang Ki
    • Biotechnology and Bioprocess Engineering:BBE
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    • v.5 no.1
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    • pp.1-6
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    • 2000
  • For the rapid selection of higher recombinant hirudin producing strain in a methylotrophic yeast Hansenula polymorpha, a multiple gene integration and dose-dependent selection vector, based on a telomere-associated ARS and a bacterial aminoglycoside 3-phosphotransferase (aph) gene, was adopted. Two hirudin expression cassettes (HV1 and HV2) were constructed using the MOX promoter of H. polymorpha and the mating factor $\alpha$ secretion signal of S. cerevisiae. Multiple integrants of a transforming vector containing hirudin expression cassettes were easily selected by using an antibiotic, G418. Hirudin expression level and integrated plasmid copy number of the tested transformants increased with increasing the concentration of G418 used for selection. The expression level of HV1 was consistently higher than that of HV2 under the similar conditions, suggesting that the gene context might be quite important for the high-level gene expression in H. polymorpha. The highest hirudin producing strain selected in this study produced over 96 mg/L of biologically active hirudin in a 500-mL flask and 165 mg/L in a 5-L fermentor.

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Numerical Evaluation of CO Gas Distribution in Underground Parking Lot (지하주차장 내부 일산화탄소 가스 분포의 전산 해석적 평가)

  • Kim Jae Won;Ham Kyoung-A
    • Journal of computational fluids engineering
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    • v.7 no.2
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    • pp.33-42
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    • 2002
  • Numerical estimation for concentration of mono-carbon oxygen (CO) gas inside an underground parking lot with auxiliary jet fans for enhancement of ventilation is carried out by using a commercial program. Main interest lies on the diagnosis of the present ventilation system including position and selection of auxiliarly fans in addition to main suppliers and exhausts. Details of both flows and concentration of CO gas that is most important component among car exhaust gases are illustrated in this investigation and those are presented for engineering construction of an underground parking pool. Prediction data of computational work is also validated by real measurements of concentration of CO gas.

Research on the Destination Selection Attributes among Japanese Tourists using IPA (일본관광객의 한국관광지 선택속성의 중요도-성취도 분석)

  • Lee, Jae-Kon;Ko, Seon-Hee
    • The Journal of the Korea Contents Association
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    • v.10 no.9
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    • pp.338-347
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    • 2010
  • This research aims to provide fundamental data for tourism policy to attract Japanese tourists to Korea. Using Japanese tourists, this study estimated how much they thought destination selection attributes are important and how much these attributes were performed. Also, this study analyzed the ranking among each selection attributes using paired sample T-test. The results show "concentrate here" part is cleanliness and hygiene, employee's service, convenience of transport and scenery. This means that these attributes are very important but they indicate low performance. Concentration among tourism managers should be focused along these attributes.

A Pilot Study for Remediation of Groundwater by Surfactant -Enhanced Soil Flushing

  • Park, Jong Oh;Lee, Dal-Heui
    • Journal of Soil and Groundwater Environment
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    • v.21 no.5
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    • pp.1-7
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    • 2016
  • The removal of non-aqueous phase liquids (NAPLs) from groundwater using pure water, via pump and treat, is quite ineffective due to their low solubility and hydrophobicity. Therefore, the objectives of pilot tests were to select potentially suitable surfactants that solubilize tetrachloroethylene (PCE) and trichloroethylene (TCE) present as contaminants and to evaluate the optimal range of process parameters that can increase the removal efficiency in surfactant-enhanced soil flushing (SESF). Used experimental method for surfactant selection was batch experiments. The surfactant solution parameters for SESF pilot tests were surfactant solution concentration, surfactant solution pH, and the flow rate of surfactant solution in the SESF pilot system. Based on the batch experiments for surfactant selection, DOSL (an anionic surfactant) was selected as a suitable surfactant that solubilizes PCE and TCE present as contaminants. The highest recovery (95%) of the contaminants was obtained using a DOSL surfactant in the batch experiments. The pilot test results revealed that the optimum conditions were achieved with a surfactant solution concentration of 4% (v/v), a surfactant solution pH of 7.5, and a flow rate of 30 L/min of surfactant solution (Lee and Woo, 2015). The maximum removal of contaminants (89%) was obtained when optimum conditions were simultaneously met in pilot-scale SESF operations. These results confirm the viability of SESF for treating PCE and TCE-contaminated groundwater.

A Study on the Development Strategy of Artificial Intelligence Technology Using Multi-Attribute Weighted Average Method (다요소 가중 평균법을 이용한 인공지능 기술 개발전략 연구)

  • Chang, Hae Gak;Choi, Il Young;Kim, Jae Kyeong
    • Journal of Information Technology Services
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    • v.19 no.2
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    • pp.93-107
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    • 2020
  • Recently, artificial intelligence (AI) technologies has been widely used in various fields such as finance, and distribution. Accordingly, Korea has also announced its AI R&D strategy for the realization of i-Korea 4.0 in May 2018. However, Korea's AI technology is inferior to major competitors such as the US, Canada, and Japan Therefore, in order to cope with the 4th industrial revolution, it is necessary to allocate AI R&D budgets efficiently through selection and concentration so as to gain competitive advantage under a limited budget. In this study, the importance of each AI technology was evaluated in multi-dimensional way through the questionnaire of expert group using the evaluation index derived from the literature review From the results of this study, we draw the following implication. In order to successfully establish the AI technology development strategies, it is necessary to prioritize the cognitive computing technology that has great market growth potential, ripple effect of technology development, and the urgency of technology development according to the principle of selection and concentration. To this end, it is necessary to find creative ideas, manage assessments, converge multidisciplinary systems and strengthen core competencies. In addition, since AI technology has a large impact on socioeconomic development, it is necessary to comprehensively grasp and manage scientific and technological regulations in order to systematically promote AI technology development.

Comparison on the Energy Consumption of the Vacuum Evaporation and Hydrated-Based Technologies for Concentrating Dissolved Ions (용존 이온 농축을 위한 진공 증발 기술과 하이드레이트 기반 기술의 소모 에너지 비교)

  • Han, Kunwoo;Rhee, Chang Houn;Ahn, Chi Kyu;Lee, Man Su
    • Korean Chemical Engineering Research
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    • v.57 no.3
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    • pp.378-386
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    • 2019
  • In the present paper we report the calculation results of operation energy consumption for dissolved ions concentration technologies using vacuum evaporation (VE) and hydrate formation. Calculations were conducted assuming the tenfold concentration of saline water (0.35 wt% NaCl solution) of 1 mol/s at room temperature and atmospheric pressure employing vacuum evaporation at $69^{\circ}C$ and 30 kPa and hydrate-based concentration using $CH_4$, $CO_2$ and $SF_6$ as guest molecules. Operation energy consumption of VE-based concentration resulted in 47 kJ/mol, whereas those of hydrate-based concentration were 43, 32, and 28 kJ/mol for $CH_4$, $CO_2$ and $SF_6$ hydrates, respectively. We observe that hydrate-based concentration can a competitive option for dissolved ions recovery from energy consumption standpoint. However, the selection of guest gas is very critical, since it accordingly determines the hydration number, the hydrate formation energy, gas compression energy, etc. The selection of guest gas, separation of concentrated brine and water phases, and the enhancement of hydrate formation rate are the key factors for the commercialization of hydrated-based technology for concentrating dissolved ions.

Selection of Cadmium Resistant Cell Line from Calli of Nicotiana tabacum cv. BY4 (담배(Nicotiana tabacum L. cv. BY4)캘러스로부터 카드뮴 저항성 세포주의 선발)

  • 오승철;소웅영;조덕이;양덕춘
    • Korean Journal of Plant Tissue Culture
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    • v.24 no.6
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    • pp.361-367
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    • 1997
  • This study was carried out to select cadmium resistant cell lines from leaf-derived calli of diploid and haploid of Nicotiana tabacum cv. BY4, for understanding adaptation mechanism of plants in cadmium contaminated environment. suspended cell clumps were plated onto selection medium containing 0 to 2,000 $\mu$M cadmium. Cadmium resistant colonies were formed on the selection medium after 3 or 4 weeks of culture. The minimum inhibition concentration (MIC) of cadmium on colony formation were 300 $\mu$M in diploid and 200 $\mu$M in haploid plants, respectively. In order to test the resistance to cadmium, selected cell line on MIC were transferred to medium containing high concentration of cadmium. The selected cell lines, especially haploid cell line, were resistant an the high concentration of cadmium. And dry weight, ash weight, and cadmium contents of cell were increased. These results indicated that the selected cell lines showed higher resistance of cadmium than control cells, and haploid plant is more resistant than diploid plant on medium with cadmium.

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Differential diagnosis of ovarian cysts and selection of therapeutic drugs in slaughtered cows (도축우 유래 난소낭종의 감별진단 및 치료제 선택)

  • 박상국;최동식;박장일;정대영
    • Korean Journal of Veterinary Service
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    • v.23 no.2
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    • pp.125-132
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    • 2000
  • To establish the differential diagnosis and treatment method in bovine ovarian cysts, specially ovarian cysts with corpus luteum, serum progesterone ($P_4$) concentration and ultrasonography for measuring the cystic wall thickness and diameter of cyst and corpus luteum were investigated from slaughtered cows with ovarian cysts. Ovarian cysts were classified 8 types by the number of cyst, cystic wall thickness and present of corpus luteum. Ovarian cysts with corpus luteum were 11 (13.6%) of 81 cows and ovarian cysts without corpus luteum were 70 (86.4%) cows. The incidence rates of 8 various types of ovarian cysts were as follows; 2Ba 33.3%, 2Aa 25.9% and 2Bb 14.8%, respectively The Incidence rates of ovarian cysts without corpus luteum were follicular cyst 59.2% and luteal cyst 27.2%. The cystic wall thickness were 2Ab 3.7mm and 2Bb 3.5mm, and the serum P4 concentrations were above 2.0 ng/$m\ell$ in IAa, tAb, IBa, 2Ab and 2Bb, respectively In ovarian cysts with corpus luteum, the correlation coefficients between corpus luteum area and serum $P_4$ concentration were 0.45. In ovarian cysts without corpus luteum, there was significantly positive correlations between cystic wall thickness and serum $P_4$ concentration($r^2$ = 0.54, p<0.01). These results indicate that $PGF_2$$\alpha$ analogues can be choice for treatment of ovarian cysts with corpus luteum and above 3mm the cystic wall thickness because serum $P_4$ concentrations were above 2.0 ng/$m\ell$ in ovarian cysts with corpus luteum and thickened cystic wall. In conclusion, it Is suggested that ultrasonography is useful diagnostic tool for diagnosis and selection of treatment remedy in cystic ovaries of bovine.

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Development of Representative GCMs Selection Technique for Uncertainty in Climate Change Scenario (기후변화 시나리오 자료의 불확실성 고려를 위한 대표 GCM 선정기법 개발)

  • Jung, Imgook;Eum, Hyung-Il;Lee, Eun-Jeong;Park, Jihoon;Cho, Jaepil
    • Journal of The Korean Society of Agricultural Engineers
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    • v.60 no.5
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    • pp.149-162
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    • 2018
  • It is necessary to select the appropriate global climate model (GCM) to take into account the impacts of climate change on integrated water management. The objective of this study was to develop the selection technique of representative GCMs for uncertainty in climate change scenario. The selection technique which set priorities of GCMs consisted of two steps. First step was evaluating original GCMs by comparing with grid-based observational data for the past period. Second step was evaluating whether the statistical downscaled data reflect characteristics for the historical period. Spatial Disaggregation Quantile Delta Mapping (SDQDM), one of the statistical downscaling methods, was used for the downscaled data. The way of evaluating was using explanatory power, the stepwise ratio of the entire GCMs by Expert Team on Climate Change Detection and Indices (ETCCDI) basis. We used 26 GCMs based on CMIP5 data. The Representative Concentration Pathways (RCP) 4.5 and 8.5 scenarios were selected for this study. The period for evaluating reproducibility of historical period was 30 years from 1976 to 2005. Precipitation, maximum temperature, and minimum temperature were used as collected climate variables. As a result, we suggested representative 13 GCMs among 26 GCMs by using the selection technique developed in this research. Furthermore, this result can be utilized as a basic data for integrated water management.