• Food Science and Industry
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• v.44 no.4
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• pp.12-17
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• 2011

• Journal of the Economic Geographical Society of Korea
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• v.6 no.1
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• pp.145-170
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• 2003

Since 1980's, the opportunities of higher education have increased absolutely to the extent worrying of over-education. The over-education means that job-seekers having a bachelor degree flow into job market much more than necessary and the problem of unemployment and under-employment becomes more serious. These changes in the labor market can affect the university selection behaviors of high school graduates. This study aims to reveal the impacts of over-education in Chungbuk, a periphery region, Korea. As expected, many of college graduates flow down into jobs asking school years less than higher education. On the other hand, high school graduates have an tendency of choosing a college, especially a college in center region, other than universities in Chungbuk, to expect more stable and rewarding job in income and upward mobility after the graduation of higher education. As the result of this, a regional university district, which means most of students in the region enter college within region limit, is getting broken into more smaller districts, a kind of local district. It can be thought as a sign that the dominance of regional center is weakening and more cities in the region receive a direct affects from center region, not through regional center.

• Journal of Animal Science and Technology
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• v.55 no.2
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• pp.81-85
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• 2013

This experiment was conducted to investigate the effects of lactation records in Holstein dairy cattle on the selection rates using a total of 341,436 test records from 113, 812 heads of cattle from first to third lactation. Heritabilities for milk, fat, and protein yields were highest at first lactation (0.28, 0.24, and 0.27, respectively), and decreased to 0.14, 0.15, and 0.13 at third lactation. For the milk yields, phenotypic correlations between first and second lactation, first and third lactation, and second and third lactation were low (0.49, 0.39, and 0.47, respectively), while genetic correlations among consecutive lactations and between second and third were above 0.8 and 0.9. In Model I, of the 1,138 heads the top 1% were selected based on first lactation records, only 32.4% (396 heads) were re-selected when the second lactation records were included and the 67.6% (769 heads) were newly selected animals. While in Model II, 85.1% (1,138 heads) of the animals which were selected as the top 1% on the basis of first and second lactation records were included. A multiple trait evaluation method using multiple lactation records is more desirable than a single trait evaluation method using first lactation records only.

• International Journal of Stem Cells
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• v.16 no.4
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• pp.438-447
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• 2023

Recently, ex-vivo gene therapy has emerged as a promising approach to enhance the therapeutic potential of mesenchymal stem cells (MSCs) by introducing functional genes in vitro. Here, we explored the need of using selection markers to increase the gene delivery efficiency and evaluated the potential risks associated with their use in the manufacturing process. We used MSCs/CD that carry the cytosine deaminase gene (CD) as a therapeutic gene and a puromycin resistance gene (PuroR) as a selection marker. We evaluated the correlation between the therapeutic efficacy and the purity of therapeutic MSCs/CD by examining their anti-cancer effect on co-cultured U87/GFP cells. To simulate in vivo horizontal transfer of the PuroR gene in vivo, we generated a puromycin-resistant E. coli (E. coli/PuroR) by introducing the PuroR gene and assessed its responsiveness to various antibiotics. We found that the anti-cancer effect of MSCs/CD was directly proportional to their purity, suggesting the crucial role of the PuroR gene in eliminating impure unmodified MSCs and enhancing the purity of MSCs/CD during the manufacturing process. Additionally, we found that clinically available antibiotics were effective in inhibiting the growth of hypothetical microorganism, E. coli/PuroR. In summary, our study highlights the potential benefits of using the PuroR gene as a selection marker to enhance the purity and efficacy of therapeutic cells in MSC-based gene therapy. Furthermore, our study suggests that the potential risk of horizontal transfer of antibiotics resistance genes in vivo can be effectively managed by clinically available antibiotics.

• Proceedings of KOSOMES biannual meeting
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• 2018.06a
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• pp.117-117
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• 2018

• Proceedings of the Korean Information Science Society Conference
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• 2010.11a
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• pp.50-51
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• 2010

• Tuberculosis and Respiratory Diseases
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• v.75 no.4
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• pp.135-139
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• 2013

Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is becoming a standard method for invasive mediastinal staging and for the diagnosis of paratracheal and peribronchial lesions. It is essential to understand the technical aspects of EBUS-TBNA to ensure safe and efficient procedures. In this review, we discuss the practical aspects to be considered during EBUS-TBNA, including anesthesia, manipulation of equipment, understanding mediastinal ultrasound images, target selection, number of aspirations needed per target, sample handling, and complications.

• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.769-772
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• 2005

This paper describes a low-voltage and low-power channel selection analog front end with continuous-time low pass filters and highly linear programmable-gain amplifier(PGA). The filters were realized as balanced Gm-C biquadratic filters to achieve a low current consumption. High linearity and a constant wide bandwidth are achieved by using a new transconductance(Gm) cell. The PGA has a voltage gain varying from 0 to 65dB, while maintaining a constant bandwidth. A filter tuning circuit that requires an accurate time base but no external components is presented. With a 1-Vrms differential input and output, the filter achieves -85dB THD and a 78dB signal-to-noise ratio. Both the filter and PGA were implemented in a 0.18um 1P6M n-well CMOS process. They consume 3.2mW from a 1.8V power supply and occupy an area of $0.19mm^2$.

• The Research Journal of the Costume Culture
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• v.20 no.6
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• pp.838-853
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• 2012

The purpose of this study is to identify adult learners' decision making variables, satisfaction, and evaluation toward fashion education as a university lifelong education program. As decision making variables, this study included participation purpose, information source, and selection criteria for lifelong education center and program. Regarding satisfaction toward fashion education, this study included satisfaction toward program and satisfaction toward education condition and administrative services. Data were gathered by both questionnaires and focus group interview(FGI) with 12 adults who completed the program. While questionnaires were used for decision making variables and satisfaction, FGI was used for evaluation. Frequency was used to analyze the questionnaires and content analysis was used to analyze the results of FGI. The findings showed that respondents participated mostly because of hobby or interest and got information mostly from acquaintances. They regarded program contents as the selection criteria for lifelong education center. They also regarded lecturers' professionality as the selection criteria for the program and showed high satisfaction toward lecturers' passion. Regarding education condition and administrative services, they showed high satisfaction. FGI also showed the importance of individual competence, career development, a work-study program, a on-site study program, and lecturer. The results suggest methods to make university lifelong education programs more appealing to adults who want to attend universities for non-degree university programs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.11
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• pp.2657-2675
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• 2013

A novel neighbor selection-based fingerprinting algorithm using matrix correlation (MC) for Wi-Fi localization is presented in this paper. Compared with classic fingerprinting algorithms that usually employ a single received signal strength (RSS) sample, the presented algorithm uses multiple on-line RSS samples in the form of a matrix and measures correlations between the on-line RSS matrix and RSS matrices in the radio-map. The algorithm makes efficient use of on-line RSS information and considers RSS variations of reference points (RPs) for localization, so it offers more accurate localization results than classic neighbor selection-based algorithms. Based on the MC algorithm, an error estimation method using artificial neural network is also presented to fuse available information that includes RSS samples and localization results computed by the MC algorithm and model the nonlinear relationship between the available information and localization errors. In the on-line phase, localization errors are estimated and then used to correct the localization results to reduce negative influences caused by a static radio-map and RP distribution. Experimental results demonstrate that the MC algorithm outperforms the other neighbor selection-based algorithms and the error estimation method can reduce the mean of localization errors by nearly half.