• Asia-Pacific Journal of Business
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• v.11 no.2
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• pp.61-79
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• 2020

Purpose - This article empirically investigated the effects of the socio-political factor of censorship preconditioning, and organizational support, mediating performance expectancy of public sector officials' behavioural intention to utilise social media in a post-communist country, Mongolia. Design/methodology/approach - This study collected 212 survey data from public sector organisations in Mongolia. Using the Partial Least Squire (PLS) method, this study analyzed the proposal model grounded on the UTAUT model. Findings - There are still communist footprints in the form of censorship, which remained as a negative precondition factor, and this has an indirect negative influence, and organisational support mediates to enhance performance expectancy. Effort expectancy and social influence factors have direct positive influence on the use of social media systems in the government domain of Mongolia Research implications or Originality - This study empirically investigated the model of public employees' intention to examine the post-communist countries' cultural, social, economic, and political systems, government organisational environment of the former communist sphere. The cultural factors, censorship and organisational support, to the existing IT adoption UTAUT model were also identified to test the situation of a post-communist country, Mongolia. This study contributes to the new theoretical involvement with social media by testing a new social media-based third-party intercommunication channel, including intent to use in the public service for post-communist countries. This study practically provides the guidelines to promote social media usage for public sector in the post-communist situation.

• Journal of the Korean Society of Earth Science Education
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• v.14 no.3
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• pp.292-301
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• 2021

This study is a basic research to apply ESD linked to SDGs to pre-service teachers majoring in earth science education. The purpose of this study is to evaluate carbon literacy by analyzing the awareness, attitude and knowledge, subjective norms, and behavioral control of the carbon footprint internalized by pre-service teachers. Pre-service teachers recognize the carbon footprint as their responsibility, but are not willing to pay the cost and accept inconveniences of the actions to reduce carbon footprint. They also support actions to reduce carbon footprint, but do not demand the actions from others. While they have sufficient knowledge about carbon mitigation actions, their conception of causes and effects of global warming is unstable. Pre-service teachers will go out to school sites and teach millions of students about global warming. It is essential to educate these teachers on the economic cost and social responsibility of reducing their carbon footprints. It is also important to find ways to bridge the gap between their thought and action. It is hoped that this study on pre-service teachers' carbon literacy will lead to realizing ESD.

• Journal of the Korean earth science society
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• v.43 no.3
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• pp.464-479
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• 2022

In this study, appropriate geosites for geological field trips were explored and measures for their effective utilization in education were discussed, focusing on Okseo-myeon, Sanbuk-dong, Bieung-do, Yami-do, Sinsi-do, and Seonyu-do areas in Gunsan City, Korea. To this end, we analyzed the geological learning elements of the curriculum that were revised in 2015 and selected 7 geosites through field work based on prior research on the study areas. These areas have immense potential as a rich source of information on the Mesozoic geology of the Korean Peninsula, including igneous rocks formed as a consequence of Jurassic and Cretaceous igneous activities, Cretaceous sedimentary rocks, dinosaur footprints, plant fossils, ripple marks, and folds. When the learning elements available at the geosites were compared to those of the curriculum, they contained essentials used in high grade of elementary school and high school, and in particular, they had most of the learning elements used in high school. Accordingly, educational activities that can be carried out in each of the geosites in Gunsan City were proposed.

• Genomics & Informatics
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• v.19 no.4
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• pp.40.1-40.11
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• 2021

Mutation signatures represent unique sequence footprints of somatic mutations resulting from specific DNA mutagenic and repair processes. However, their causal associations and the potential utility for genome research remain largely unknown. In this study, we performed PanCancer-scale correlative analyses to identify the genomic features associated with tumor mutation burdens (TMB) and individual mutation signatures. We observed that TMB was correlated with tumor purity, ploidy, and the level of aneuploidy, as well as with the expression of cell proliferation-related genes representing genomic covariates in evaluating TMB. Correlative analyses of mutation signature levels with genes belonging to specific DNA damage-repair processes revealed that deficiencies of NHEJ1 and ALKBH3 may contribute to mutations in the settings of APOBEC cytidine deaminase activation and DNA mismatch repair deficiency, respectively. We further employed a strategy to identify feature-driven, de novo mutation signatures and demonstrated that mutation signatures can be reconstructed using known causal features. Using the strategy, we further identified tumor hypoxia-related mutation signatures similar to the APOBEC-related mutation signatures, suggesting that APOBEC activity mediates hypoxia-related mutational consequences in cancer genomes. Our study advances the mechanistic insights into the TMB and signature-based DNA mutagenic and repair processes in cancer genomes. We also propose that feature-driven mutation signature analysis can further extend the categories of cancer-relevant mutation signatures and their causal relationships.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.184-184
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• 2023

Globally, agriculture is one of the largest consumers and polluters of water resources, contributing to the unsustainable use of limited water resources. To reduce the resource use and environmental footprints associated with current and future food systems, researchers and policy makers have recommended the transition to sustainable and healthier diets and the reduction of food loss and waste along the food supply chain. However, there is limited information on the synergistic effects and trade-offs of adopting the two measures. In this study, we assessed the water-saving potential of the two measures in South Korea using environmentally extended input-output relying on the EXIOBASE database for the reference year 2020, along with scenario analysis to model the potential outcomes. Specifically, we analyzed scenarios where meat consumption was reduced by 30% and 50% and in combination with a 50% reduction in food waste at the consumption stage for each scenario. According to our findings, by considering individual measures of dietary change and food waste reduction, shifting to a diet with 30% and 50% less meat consumption could lead to reduction in water footprint by 6.9% and 7.5%, respectively, while 50% reduction in food waste at the consumption stage could save about 14% of water footprint. However, the synergistic effects of the two measures such as 30% less meat consumption and 50% food waste reduction, and 50% less meat consumption and 50% food waste reduction result to 20% and 24% reductions in water footprint, respectively. Moreover, our findings also showed that increasing food consumption with high environmental impacts could promote resources use inefficiency when waste occurs. Thus, policy strategies that address synergistic effects of both dietary change and food waste reduction should be strengthened to achieve sustainable food system. International and national policies can increase resource efficiency by utilizing all available reduction potentials while considering strategies interactions.

• Journal of Forest and Environmental Science
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• v.26 no.2
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• pp.83-94
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• 2010

Chinese fir (Latin name: Cunninghaimia lanceolata) is one of the major commercial coniferous trees. Most of Chinese fir forests are managed in successive rotation sites, which lead productivity to decline. Autotoxicity is the important reason for soil degradation of Chinese fir plantation, especially, phenolic acids are considered as the major allelopathic toxins which induce autotoxicity in Chinese fir rotation stands. We performed here proteomic approach to investigate the response of proteins in Chinese fir leaves to salicylic acid. The tube plantlets of Chinese fir clone were treated with 120 mg/L salicylic acid for 1, 3 and 5th day. 2-DE, coupled with MALDI-TOF-TOF/MS, was used to separate and identify the responsive proteins. We found 12, 7, and 12 candidate protein spots that were up- or down-regulated by at least 2.5 fold after 1, 3, and 5th day of the stress, respectively. Of these protein spots, 16 spots were identified successfully. According to the putative physiological functions, these proteins were categorized into five classes (1) the proteins involved in protein stability and folding, including 26S proteome, Grp78, Hsp70, Hsp90 and PPIase; (2) the protein involved in photosynthesis and respiration, including OEC 33 kDa subunit, GAPDH; (3) the protein related to cell endurance to acid, F-ATPase; (4) the protein related to cytoskeleton, tubulin; (5) the protein related to protein translation: prolyl-tRNA synthetase. These results give new insights into autotoxic substance stress response in Chinese fir leaves and provide preliminary footprints for further studies on the molecular signal mechanisms induced by the stress.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.209-209
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• 2022

Reservoirs play a key role in the carbon cycle between terrestrial and marine systems and are pathways that release greenhouse gases(GHGs), CO₂, CH₄, and N₂O, into the atmosphere by decomposing organic matters. Developed countries have been actively conducting research on carbon emission assessment of dam reservoirs for over 10 years under the leadership of UNESCO/IHA, but associated research is very rare in Korea. In particular, the GHGs footprint evaluation, which calculates the change in net carbon emission considering the watershed environment between pre- and post- impoundment, is very important in evaluating the carbon emission of hydroelectric dams. The objective of this study was to estimate the GHG emissions and footprints in Daecheong Reservoir using the G-res Tool, an online platform developed by UNESCO/IHA. The G-res Tool estimates CO₂ and CH₄ emissions in consideration of diverse pathway fluxes of GHGs from the reservoir and characterizes changes in GHG fluxes over 100 years based on the expected lifetime of the dam. The input required to use the G-res Tool include data related to watersheds, reservoirs, and dams, and most were collected through the government's public portal. As a result of the study, the GHG footprint of Daecheong Reservoir was estimated to be 93 gCO₂eq/m²/yr, which is similar to that of other reservoirs around the world in the same climate zone. After impoundment, the CH₄ diffusion emission from the reservoir was 73 gCO₂eq/m²/yr, also similar to those of the overseas reservoirs, but the CH₄ bubbling emission, degassing emission, and CO₂ diffusion emissions were 44, 34, 252 gCO₂eq/m²/yr, respectively, showing a rather high tendency. Since the dam reservoir carbon footprint evaluation is essential for the Clean Development Mechanism evaluation of hydroelectric power generation, continuous research is needed in the future. In particular, experimental studies that can replace the emission factors obtained from the overseas dam reservoirs currently used in the G-res Tool should be promoted.

• Atmosphere
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• v.34 no.1
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• pp.69-81
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• 2024

In this paper, Annual flux variations in the Boseong Tall Tower (BTT) from 2016 to 2020 were analyzed using data from three levels (2.5 m, 60 m, and 300 m). BTT was installed in Boseong-gun, Jeollanam-do in February 2014 and continued to conduct energy exchange observations such as CO2, sensible heat, and latent heat using the eddy covariance method until March 2023. The BTT was located in a very flat and uniform paddy field, and flux observations were conducted at four levels: 2.5 m, 60 m, 140 m, and 300 m above ground. Surface energy balance was confirmed from observed data of net radiation flux, soil heat flux, sensible heat flux, and latent heat flux. Additionally, 2.5 m height surface fluxes, which are most influenced by agricultural land, were compared with data from Local Data Assimilation and Prediction System (LDAPS) of the Korea Meteorological Administration to evaluate the accuracy of LDAPS flux data. The correlation coefficient between LDAPS flux data and observed values was 0.95 or higher. Excluding summer latent heat flux data, there was a general tendency for LDAPS data to be higher than observed values. The footprint areas estimated below 60 m height mainly covered agricultural land, and flux observations at 2.5 m and 60 m heights showed typical agricultural characteristics. In contrast, the footprint estimated at 300 m height did not show agricultural characteristics, indicating that observations at this height encompassed a wide range, including mountains, sea, and roads. The analysis results of long-term flux observations can contribute to understanding the energy and carbon dioxide fluxes in agricultural fields. Furthermore, these results can be utilized as essential data for validating and improving numerical models related to such fluxes.

• Journal of the Korean Institute of Landscape Architecture
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• v.44 no.2
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• pp.1-10
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• 2016

The purpose of this study is to analyze the change of environmental capacity in Yong-in City, Gyeonggi-do, South Korea through calculation of ecological footprint indices and analysis of their changes, and to suggest implications for urban development and planning. In this study, we analyzed ecological footprints of 1993, 2003, and 2013 to understand the patterns of land use changes and development in Yong-in City. We also compared the GIS land cover maps and ecological footprint indices to figure out land cover changes associated with resource consumption in Yong-in City. As a result, we found the following three lessons. First, the ecological footprint indices of Yong-in City are 3.20(gha) in 1993, 6.50(gha) in 2003, and 11.15(gha) in 2013. This implies that the ecological footprint of Yong-in City is much larger than 1.80(gha), the globally required ecological footprint per capita and 3.56(gha), the average ecological footprint of South Korea. Second, the forest ecological footprint of Yong-in City was calculated as the largest, followed by the ecological footprints of energy, food, and built environment. In particular, the forest ecological footprint was the most rapidly increased from 0.002(gha) in 1993 to 7.32(gha) in 2013, followed by energy ecological footprint from 0.87(gha) to 2.38(gha). This implies that the provision and consumption of timber are seriously unbalanced, and energy consumption is unsustainable because of the rapid increase of residential and commercial land development in the city. Third, our analysis of the rapid increase of forest ecological footprint indicates that the disturbed forest areas are concentrated in the increased built environment areas. We also observed that the increase of energy ecological footprint indices was caused largely by the increase of the commercial and road areas. This implies that Yong-in City should minimize forest disturbance and expand green areas for future in the city. In addition, this may provide a reasonable ground that the city should reduce the use of fossil fuels and facilitate the use of renewable energy.

• Korean Journal of Soil Science and Fertilizer
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• v.45 no.6
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• pp.1143-1152
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• 2012

We established a top-down methodology to estimate carbon footprint as national mean value (reference) with the statistical data on agri-livestock incomes in 2007. We also established LCI (life cycle inventory) DB by a bottom-up methodology with the data obtained from interview with farmers from 4 large-scale farms at Gunsan, Jeollabuk-do province to estimate carbon footprint in 2011. This study was carried out to compare top-down methodology and bottom-up methodology in performing LCA (life cycle assessment) to analyze the difference in GHGs (greenhouse gases) emission and carbon footprint under conventional rice cultivation system. Results of LCI analysis showed that most of $CO_2$ was emitted during fertilizer production and rice cultivation, whereas $CH_4$ and $N_2O$ were mostly emitted during rice cultivation. The carbon footprints on conventional rice production system were 2.39E+00 kg $CO_2$-eq. $kg^{-1}$ by top-down methodology, whereas 1.04E+00 kg $CO_2$-eq. $kg^{-1}$ by bottom-up methodology. The amount of agro-materials input during the entire rice cultivation for the two methodologies was similar. The amount of agro-materials input for the bottom-up methodology was sometimes greater than that for top-down methodology. While carbon footprint by the bottom-up methodology was smaller than that by the top-down methodology due to higher yield per cropping season by the bottom-up methodology. Under the conventional rice production system, fertilizer production showed the highest contribution to the environmental impacts on most categories except GWP (global warming potential) category. Rice cultivation was the highest contribution to the environmental impacts on GWP category under the conventional rice production system. The main factors of carbon footprints under the conventional rice production system were $CH_4$ emission from rice paddy field, the amount of fertilizer input and rice yield. Results of this study will be used for establishing baseline data for estimating carbon footprint from 'low carbon certification pilot project' as well as for developing farming methods of reducing $CO_2$ emission from rice paddy fields.