• Journal of Life Science
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• v.31 no.9
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• pp.834-839
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• 2021

Authors previously reported the results of analyses of COGs (Clusters of Orthologous Groups of proteins) in 711 prokaryotes. The data of COGs were significantly updated for 2020 using 1,309 prokaryotic genomes. Here, we report the results of analyses of 3,455,853 proteins comprising 4,877 updated COGs in terms of COGs and prokaryotes. The numbers of COGs in each prokaryote ranged from 97 to 2,281, with an average of 1,430.0 and a standard deviation of 414.2. Mean numbers of COGs at the phylum level were minimal 497.86 for Mollicutes and maximal 1,642.90 for Cyanobacteria. The top 10 species with the highest COG retention numbers were all Proteobacteria, and 9 out of the bottom 10 were those that could not be cultured in vitro. The numbers of proteins belonging to each COG ranged from 2 to 22,048, with over 12,000 proteins up to the top 11. Five of the top 11 were COGs that bind to DNA and were involved in the gene expression, indicating the importance of regulating gene expression in prokaryotes in a changing environment. COG data are expected to be widely utilized as they can be used for the identification of genes included in the genome and the selection of genes for the strain improvement.

• Korean Journal of Environmental Agriculture
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• v.40 no.4
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• pp.260-269
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• 2021

BACKGROUND: Diquat dibromide is a fast-acting nonselective herbicide and plant growth regulator. In this study, in order to understand the possibility of unintentional pesticide contamination in the following crops, the phytotoxicity and transition of diquat dibromide residue in soil into the following crops such as pepper, radish, lettuce and corn have been assessed through phytotoxicity trial and residual evaluation in the unintentional contamination of the higher residual diquat dibromide. METHODS AND RESULTS: The pepper, radish, lettuce and corn were cultivated in the sandy soil and loam soil where the 35 mg/kg and 90 mg/kg diquat dibromide were applied, respectively. Mild growth inhibition symptoms were observed in radish, lettuce and corn crops at the 90 mg/kg- diquat dibromide treatment on the 30 day of cultivation. Diquat dibromide was analyzed using liquid chromatography QTRAP (LC-MS/MS). The recovery rates of diquat dibromide from soil and crop were determined within range from 89.1 to 116.4% with relative standard deviation less than 14.7%. Diquat dibromide residues in soil were found to be 23.90-30.22 and 69.59-82.57 mg/kg from the 35 mg/kg and 90 mg/kg of diquat dibromide-treated soil, respectively after 30 days of crop cultivation. This result implicates that diquat dibromide did not convert to metabolites and remained mostly in the soil, even though it was partially decomposed during crop cultivation. In addition, the diquat dibromide in pepper and radish that were grown for 47 days, and lettuce and corn that were cultivated for 30 days were detected to be 0.01 mg/kg or less in the sandy loam and loam soil where the 90 mg/kg diquat dibromide was applied. CONCLUSION(S): Diquat dibromide did not cause severe phytotoxicity in the following crops as well as it did not uptake and distribute to the following crops, even though it was considered to be residual in the soil.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.386-395
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• 2021

The purpose of this study was to confirm the relationship between positive psychological capital, professor support, and the career preparation behavior of college students, and to identify the factors influencing the career preparation behavior. The convenience sampling method was used on 180 students from August 30 to October 30, 2020, Data was collected using a structured questionnaire and analyzed by frequency, percentage, mean, standard deviation, t-test, ANOVA, Scheff test, Pearson's Correlation Coefficients, and multiple regression. The research results showed that there were significant differences in positive psychological capital and professor support according to gender, majors, and economic levels. There were significant differences in career preparation behavior according to gender (t=3.52, p<.001), major (F=10.85, p<.001), and career decision (t=4.98, p<.001). There were significant differences in career preparation behavior according to gender, majors, and career decisions. Positive psychological capital (r=.45, p<.001) and professor support (r=.40, p<.001) showed a positive correlation with career preparation behavior. Factors influencing career preparation behavior were majors, career decisions, positive psychological capital, and the explanatory power of these factors was 32.5%. Therefore, effective career and counseling guidance should be planned to increase positive psychological capital according to the major. It is necessary to provide opportunities for exploration of various career options to enable students to select suitable careers or jobs and to set goals, and provide an environment with positive motivation.

• Journal of Korean Society of Forest Science
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• v.107 no.4
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• pp.402-411
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• 2018

This study was conducted to develop ingrowth estimation equations on Pinus densiflora found in Gangwon Province and in the center of Korean Peninsula, based on the National Forest Inventory (NFI)'s permanent sampling plot data. For this study, identical sampling plots in $5^{th}$ and $6^{th}$ NFI data were collected in order to identify ingrowth amounts for the last 5 years. Following two-stage approaches in developing the ingrowth estimation equations, the logistic regression model was used in the first stage to estimate the ingrowth probability. In the second stage, regression analysis on sampling plots with ingrowth occurrence was used to estimate the ingrowth amount. A candidate model was finally selected as an optimal model after a verification based on three evaluation statistics which include mean difference (MD), standard deviation of difference (SDD) and standard error of difference (SED). In results, a logistic regression model based on the number of sampling plot which did not result in ingrowth (model VI), was selected for an ingrowth probability estimation equation and exponential function including the species composition (SC) variable was optimal for an ingrowth estimation equation (model VII). The ingrowth estimation equations developed in this study also evaluated the estimation ability in various forest stand conditions, and no particular issue in fitness or applicability was observed.

• Journal of the Korean Recycled Construction Resources Institute
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• v.6 no.4
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• pp.229-235
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• 2018

In this study, recycled aggregate and natural aggregate were mixed in advance using an aggregate mixing facility that was developed to improve the quality of recycled aggregate concrete. Then the mixed aggregate was applied and concrete characteristics before and after a mix were considered. Based on the findings extracted, this study aimed to suggest a new direction for quality stabilization and application activation of recycled aggregate. The test results of change rates of mortars and coarse aggregates in fresh concrete mixed by a concrete mixer, before and after mixing aggregates showed that the variations of the mortars and coarse aggregates in the concrete mixed with the aggregates beforehand were decreased than those in the concrete before mixing them. The variation of compressive strength and the mean compressive strength at the ages of 3 and 7 days showed similar results before and after the aggregates were mixed, and the strength at the age of 28 days before and after mixing them showed larger deviation than that at the ages of 3 and 7 days. The use of the mixed aggregates after mixing aggregates beforehand reduced the variation in strength and is believed that it is advantageous for long-age strength development. The above results show that the variations of coarse aggregates and compressive strength in the concrete using the mixed aggregates produced by mixing recycled aggregates and natural aggregates beforehand are reduced so it will be possible to produce the homogeneous concrete by mixing aggregates beforehand.

• Safety and Health at Work
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• v.10 no.3
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• pp.377-383
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• 2019

Objectives: Exposure to fine particles in urban air has been associated with a number of negative health effects. High levels of fine particles have been detected at underground stations in big cities. We investigated the exposure conditions in four occupational groups in the Stockholm underground train system to identify high-exposed groups and study variations in exposure. Methods: $PM_1$ and $PM_{2.5}$ were measured during three full work shifts on 44 underground workers. Fluctuations in exposure were monitored by a real-time particle monitoring instrument, pDR, DataRAM. Qualitative analysis of particle content was performed using inductively coupled plasma mass spectrometry. Nitrogen dioxide was measured using passive monitors. Results: For all underground workers, the geometric mean (GM) of $PM_1$ was $18{\mu}g/m^3$ and of $PM_{2.5}$ was $37{\mu}g/m^3$. The particle exposure was highest for cleaners/platform workers, and the GM of $PM_1$ was $31.6{\mu}g/m^3$ [geometric standard deviation (GSD), 1.6] and of $PM_{2.5}$ was $76.5{\mu}g/m^3$ (GSD, 1.3); the particle exposure was lowest for ticket sellers, and the GM of $PM_1$ was $4.9{\mu}g/m^3$ (GSD, 2.1) and of $PM_{2.5}$ was $9.3{\mu}g/m^3$ (GSD, 1.5). The $PM_1$ and $PM_{2.5}$ levels were five times higher in the underground system than at the street level, and the particles in the underground had high iron content. The train driver's nitrogen dioxide exposure level was $64.1{\mu}g/m^3$ (GSD, 1.5). Conclusions: Cleaners and other platform workers were statistically significantly more exposed to particles than train drivers or ticket sellers. Particle concentrations ($PM_{2.5}$) in the Stockholm underground system were within the same range as in the New York underground system but were much lower than in several older underground systems around the world.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.32 no.6
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• pp.553-560
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• 2020

This paper presents an algorithm for identifying and eliminating errors by seagrasses in coastal bathymetry surveying using drone and HD camera. Survey errors due to seagrasses were identified, segmentated and eliminated using a L∗a∗b color space model. Bathymetry survey using a drone and HD camera has many advantages over conventional survey methods such as ship-board acoustic sounder or manual level survey which are time consuming and expensive. However, errors caused by sea bed reflectance due to seagrasses habitat hamper the development of new surveying tool. Seagrasses are the flowering plants which start to grow in November and flourish to maximum density until April in Korea. We developed a new algorithm for identifying seagrasses habitat locations and eliminating errors due to seagrasses to get the accurate depth survey data. We tested our algorithm at Wolpo beach. Bathymetry survey data which were obtained using a drone with HD camera and calibrated to eliminate errors due to seagrasses, were compared with depth survey data obtained using ship-board multi-beam acoustic sounder. The abnormal bathymetry data which are defined as the excess of 1.5 times of a standard deviation of random errors, are composed of 8.6% of the test site of area of 200 m by 300 m. By applying the developed algorithm, 92% of abnnormal bathymetry data were successfully eliminated and 33% of RMS errors were reduced.

• Journal of Korean Society of Forest Science
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• v.109 no.4
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• pp.461-467
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• 2020

The aim of this study was to utilize Kozak's stem taper model to develop both a stem taper equation and a stem volume table for Criptomeria japonica, a tree species distributed across Korea. A total of 1,000 sample trees were cut and collected across the country to measure their diameters by stem height. The equation was then used to estimate examine their stem shapes. Our results show that the Fitness Index for the equation was 98.7%, the Mean Absolute Deviation (MAD) was -0.0142, and the MAD was 1.1640, thus indicating a high level of fitness. A statistically significant difference (p < 0.05) was also found from the analysis of discrepancies between a current table and the new table used in this study. It is therefore suggested that the new table-with data from actual stands-will contribute to enhancing the accuracy of national and municipal forest statistics and reducing losses caused by imprecise data on available forest resources.

• Journal of agricultural medicine and community health
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• v.45 no.4
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• pp.208-220
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• 2020

Objectives: The purpose of this study was to identify factors influencing the posttraumatic growth of maritime police officers. Methods: The subjects include 293 maritime police officers that received basic and professional education at the Korea Coast Guard Academy on June 17~July 31, 2019. Data was analyzed in frequency, percentage, mean, standard deviation, t-test, variance analysis, Pearson's correlation analysis, and multiple regression analysis with the SPSS Version 21.0 program. Results: The findings show that the maritime police officers scored mean 39.72±16.56 points in posttraumatic growth. marital status(β=.194, p=.002), smoking(β=.152, p=.010), regular exercise(β=-.185, p<.001), total duration of service(β=-.154, p=.033), resilience(β=.310, p<.001), social support (β=.250, p<.001), and collective culture(β=.158, p=.004) had impacts on their posttraumatic growth. Conclusion: The findings of the study demonstrate that the posttraumatic growth of maritime police officers was under the influence of supports from families and peers, working environment, and culture as well as their individual characteristics.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.713-718
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• 2021

This study was conducted to clarify the role and importance of dental hygienists in improving patient satisfaction in dental medical institutions, and to improve the social position, working conditions, and environment of dental hygienists. This study evaluated the impact of dental hygienists on dental satisfaction, revisits, and doctor recommendations for patients who had received prosthodontic treatment at dentistry in the last 10 years. This study analyzed the data from 166 survey questionnaires from June 1, to July 2, 2020. For data analysis, the SPSS Ver 23.0 program was used to calculate frequency and percentage, mean and standard deviation of the variables, Pearson correlation analysis, and multiple regression analysis. As a result, the average quality of medical services provided by dental hygienists among prosthetics was 4.05, the average dental satisfaction was 4.27, the average revisit was 3.97, and the average recommendation was 4.01. As a result of Pearson's correlation analysis, there was a significant positive correlation between each variable (P<0.01). As a result of multiple regression analysis, the level of knowledge appeared as a factor affecting dental satisfaction (P<0.05). The factors influencing both the revisits and the intention to recommend were the level of knowledge and the level of education (P<0.05).