Kim, Jin-Hee;Yun, Eun-jeong;Kim, Dae-jun;Kang, DaeGyoon;Seo, Bo Hun;Shim, Kyo-Moon
Korean Journal of Agricultural and Forest Meteorology
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v.22
no.4
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pp.268-278
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2020
Flowering time has been put forward due to the recent abnormally warm winter, which often caused damages of flower buds by late frosts persistently. In the present study, cumulative chill unit and cumulative heat unit of Niitaka pear, which are required for releasing the endogenous dormancy and for flowering after breaking dormancy, respectively, were compared between flowering time prediction models used in South K orea. Observation weather data were collected at eight locations for the recent three years from 2018-2020. The dates of full bloom were also collected to determine the confidence level of models including DVR, mDVR and CD models. It was found that mDVR model tended to have smaller values (8.4%) of the coefficient of variation (cv) of chill units than any other models. The CD model tended to have a low value of cv (17.5%) for calculation of heat unit required to reach flowering after breaking dormancy. The mDVR model had the most accurate prediction of full bloom during the study period compared with the other models. The DVR model usually had poor skills in prediction of full bloom dates. In particular, the error of the DVR model was large especially in southern coastal areas (e.g., Ulju and Sacheon) where the temperature was warm. Our results indicated that the mDVR model had relatively consistent accuracy in prediction of full bloom dates over region and years of interest. When observation data for full bloom date are compiled for an extended period, the full bloom date can be predicted with greater accuracy improving the mDVR model further.
Multichannel automated chamber systems (MCACs) were developed for the continuous monitoring of soil CO2 efflux in forest ecosystems. The MCACs mainly consisted of four modules: eight soil chambers with lids that automatically open and close, an infrared CO2 analyzer equipped with eight multichannel gas samplers, an electronic controller with time-relay circuits, and a programmable logic datalogger. To examine the stability and reliability of the developed MCACs in the field during all seasons with a high temporal resolution, as well as the effects of temperature and soil water content on soil CO2 efflux rates, we continuously measured the soil CO2 efflux rates and micrometeorological factors at the Nam-san experimental site in a Quercus mongolica forest floor using the MCACs from January to December 2010. The diurnal and seasonal variations in soil CO2 efflux rates markedly followed the patterns of changes in temperature factors. During the entire experimental period, the soil CO2 efflux rates were strongly correlated with the temperature at a soil depth of 5 cm (r2 = 0.92) but were weakly correlated with the soil water content (r2 = 0.27). The annual sensitivity of soil CO2 efflux to temperature (Q10) in this forest ranged from 2.23 to 3.0, which was in agreement with other studies on temperate deciduous forests. The annual mean soil CO2 efflux measured by the MCACs was approximately 11.1 g CO2 m-2 day-1. These results indicate that the MCACs can be used for the continuous long-term measurements of soil CO2 efflux in the field and for simultaneously determining the impacts of micrometeorological factors.
In this study, we measured the concentration of particulate matter (PM) and ammonia (NH3) emission in the winters according to the breeding type of laying hen houses. Measurements were performed thrice in Barn, Aviary, and Cage houses every 2 weeks from December to January. The changes in the PM10 and PM2.5 concentrations were similar in all three breeding types. The PM10 and PM2.5 concentrations, measured three times, were the highest in the Aviary house. In the results measured by time, the PM10 and PM2.5 concentrations were the lowest during the dark period (22:00 to 4:00) of the day. The NH3 concentration was the highest in the Cage house and the lowest in the Barn house. Regarding emissions over time, the results of the three measurements showed different patterns and differed from those of the PM. In addition, with passage of time from the 1st (december) to 3rd (january), the NH3 concentration gradually increased. The daily PM10 and PM2.5 concentrations in the Aviary house, which were higher than those of the other houses, were 4,787 ㎍/㎥ and 388.6 ㎍/㎥, respectively, while, the PM10 and PM2.5 concentrations outside the poultry houses were 226.0 ㎍/㎥ and 39.3 ㎍/㎥, respectively. The daily NH3 concentration was 7.70 ppm and 9.20 ppm at the center and end of the Cage house, respectively. This was higher than that in the other houses. In conclusion, the concentrations of PM (PM10, PM2.5) and NH3 were the highest in the Aviary and Cage laying hen houses, respectively.
This article examines how the production technology of the Chinese bronze mirror affected the Korean Peninsula and Japan. To that end, we looked at how the drawing of linked-arc designs in bronze mirrors was done. The drawing technique is classified into three methods: Type 1 and type 2 were confirmed to have been used in China, but type 3 was used not in China, but on the Korean Peninsula and in Japan. Type 1 and type 2 are basically the same, with an identical restored diameter of the linked-arc design, and type 2 is found elsewhere in the bronze mirror, and type 1 are not. Type 3 features different diameters, and the linked-arc design does not form a complete circle. This shows that the manufacturer of the bronze mirror did not use several bumpy compasses, but rather a single one with a fixed center and protrusion, rather than one that can be easily adjusted, as it is today. That is why, of course, a pair of compasses must have been used several times. In this regard, those who produced bronze mirrors on the Korean Peninsula in the early days understood not only the Chinese techniques of the linked-arc design, but also the meaning contained within them. On the other hand, the makers of bronze mirrors in Japan did not understand the patterns and simply imitated them. From the late Yayoi period, Japan understood and produced works with the principle of drawing the linked-arc design. As a representative example, bronze mirrors excavated from the tomb of Hirabaru can be referenced. Perhaps it can be assumed that, behind these works, there was a direct transfer of technology, such as the migration of the makers of bronze mirror makers like the Do family (陶氏), whose names were found written on bronze mirrors excavated from the Hirabaru tomb.
This study was conducted to provide basic data for habitat management and preservation of Jeongmaek. A total of 18 priority research areas were selected with consideration to terrain and habitat environment, and 54 fixed plots were selected for three types of habits: development, valley, and forest road and ridge. The survey was conducted in each season (May, August, and October), excluding the winter season, from 2016 to 2018. The distribution analysis of birds observed in each habitat type using a self-organizing map (SOM) classified them into a total of four groups (MRPP, A=0.12, and p <0.005). The comparative analysis of the number of species, the number of individuals, and the species diversity index for each SOM group showed that they were all the highest in group III (Kruskal-Wallis, the number species: x2 = 13.436, P <0.005; the number of individuals: x2 = 8.229, P <0.05; the species diversity index: x2 = 17.115, P <0.005). Moreover, the analysis by applying the land cover map to the random forest model to examine the index species of each group and identify the characteristics of the habitat environment showed a difference in the ratio of the habitat environment and the indicator species among the four groups. The index species analysis identified a total of 18 bird species as the indicator species in three groups except for group II. When applying the random forest model and indicator species analysis to the results of classification into four groups using the SOM, the composition of the indicator species by the group showed a correlation with the habitat characteristics of each group. Moreover, the distribution patterns and densities of observed species were clearly distinguished according to the dominant habitat for each group. The results of the analysis that applied the SOM, indicator species, and random forest model together can derive useful results for the characterization of bird habitats according to the habitat environment.
The Journal of Korean society of community based occupational therapy
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v.11
no.1
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pp.11-22
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2021
Objective : The purpose of this study was to investigate the changes in occupational balance and quality of life caused by COVID-19 in occupational therapy students. Methods : From May 27 to June 26, 2020, questionnaires were distributed to a total of 35 universities among 62 occupational therapy departments nationwide. General characteristics, COVID-19 related characteristics, OBQ and WHOQOL-BREF were used to evaluate and analyze occupational balance and quality of life. The SPSS/PC 24.0 program was used to analyze frequency analysis, crossover analysis, chi-square test, independent t-test, analysis of variance, and Pearson correlation analysis. Results : There were significant differences in school system(years), class, life pattern, quality of life, personal and public schedule depending on whether they are interested in occupational balance. There were significant differences in occupational balance(OBQ) and quality of life(WHOQOL-BREF), 'Hobby', 'new hobbies after COVID-19', 'life patterns', 'use of public transportation', 'maintenance of occupational balance', and 'quality of life'. There was a significant positive correlation occupational balance and quality of life. Conclusion : This study showed that the more people who have changed their lives due to COVID-19 are interested in work balance, and the better they maintain their work balance and emotional well-being, the higher the work balance and quality of life, and the positive correlation between work balance and quality of life was confirmed. This will be the basis for studies related to intervention strategies that can improve occupational balance and quality of life in a time when social isolation is easy due to the COVID-19 epidemic.
Kim, Jin-Hee;Kim, Dae-Jun;Seo, Bo-Hun;Kim, Kwang Soo
Korean Journal of Agricultural and Forest Meteorology
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v.23
no.4
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pp.374-390
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2021
Growth and yield of field vegetable crops would be affected by climate conditions, which cause a relatively large fluctuation in crop production and consumer price over years. The yield prediction system for these crops would support decision-making on policies to manage supply and demands. The objectives of this study were to compile literatures related to onion and garlic and to perform data-mining analysis, which would shed lights on the development of crop models for these major field vegetable crops in Korea. The literatures on crop growth and yield were collected from the databases operated by Research Information Sharing Service, National Science & Technology Information Service and SCOPUS. The keywords were chosen to retrieve research outcomes related to crop growth and yield of onion and garlic. These literatures were analyzed using text mining approaches including word cloud and semantic networks. It was found that the number of publications was considerably less for the field vegetable crops compared with rice. Still, specific patterns between previous research outcomes were identified using the text mining methods. For example, climate change and remote sensing were major topics of interest for growth and yield of onion and garlic. The impact of temperature and irrigation on crop growth was also assessed in the previous studies. It was also found that yield of onion and garlic would be affected by both environment and crop management conditions including sowing time, variety, seed treatment method, irrigation interval, fertilization amount and fertilizer composition. For meteorological conditions, temperature, precipitation, solar radiation and humidity were found to be the major factors in the literatures. These indicate that crop models need to take into account both environmental and crop management practices for reliable prediction of crop yield.
Purpose. This study aims to evaluate the combined effect of reduced thickness in different regions on the fracture resistance of monolithic zirconia crowns. Materials and methods. Seven nickel-chromium dies were generated from a 3D model of mandibular first molar using the digital scanner with the following geometries: 1.5 mm occlusal reduction, 1.0 mm deep chamfer. Based on the abutment model, Zirconia blocks (Luxen Zirconia) were selected to fabricate Sixty-three zirconia crowns with occlusal thicknesses of 0.3 mm, 0.5 mm, and 1.5 mm, and different axial thicknesses of 0.3 mm, 0.5 mm, and 1.0 mm. All crowns were cemented by resin cement. Next, the crowns were subjected to load-to-fracture test until fracture using an electronic universal testing machine. In addition, fracture patterns were observed with a scanning electron microscope (SEM). Two-way ANOVA and the Tuckey HSD test for post hoc analysis were used for statistical analysis (P < .05). Results. The mean values of fracture resistancerecorded was higher than the average biting force in the posterior region. The two-way ANOVA showed that the occlusal and axial thickness affected the fracture resistance significantly (P < .05). However, the effect of axial thickness on fracture resistance did not show a statistical difference when thicker than 0.5 mm. The observed failure modes were partial or complete fracture depending on the severity of crack propagation. Conclusion. Within the limitations of the present study, the CAD-CAM monolithic zirconia crown with extremely reduced thickness showed adequate fracture resistance to withstand occlusal load in molar regions. In addition, both occlusal and axial thickness affected the fracture resistance of the zirconia crown and showed different results as combined.
The Korean economy has achieved continuous economic growth for the past several decades thanks to the government's export strategy policy. This increase in exports is playing a leading role in driving Korea's economic growth by improving economic efficiency, creating jobs, and promoting technology development. Traditionally, the main factors affecting Korea's exports can be found from two perspectives: economic factors and industrial structural factors. First, economic factors are related to exchange rates and global economic fluctuations. The impact of the exchange rate on Korea's exports depends on the exchange rate level and exchange rate volatility. Global economic fluctuations affect global import demand, which is an absolute factor influencing Korea's exports. Second, industrial structural factors are unique characteristics that occur depending on industries or products, such as slow international division of labor, increased domestic substitution of certain imported goods by China, and changes in overseas production patterns of major export industries. Looking at the most recent studies related to global exchanges, several literatures show the importance of cultural aspects as well as economic and industrial structural factors. Therefore, this study attempted to develop a forecasting model by considering cultural factors along with economic and industrial structural factors in calculating the import volume of each country from Korea. In particular, this study approaches the influence of cultural factors on imports of Korean products from the perspective of PUSH-PULL framework. The PUSH dimension is a perspective that Korea develops and actively promotes its own brand and can be defined as the degree of interest in each country for Korean brands represented by K-POP, K-FOOD, and K-CULTURE. In addition, the PULL dimension is a perspective centered on the cultural and psychological characteristics of the people of each country. This can be defined as how much they are inclined to accept Korean Flow as each country's cultural code represented by the country's governance system, masculinity, risk avoidance, and short-term/long-term orientation. The unique feature of this study is that the proposed final prediction model can be selected based on Design Principles. The design principles we presented are as follows. 1) A model was developed to reflect interest in Korea and cultural characteristics through newly added data sources. 2) It was designed in a practical and convenient way so that the forecast value can be immediately recalled by inputting changes in economic factors, item code and country code. 3) In order to derive theoretically meaningful results, an algorithm was selected that can interpret the relationship between the input and the target variable. This study can suggest meaningful implications from the technical, economic and policy aspects, and is expected to make a meaningful contribution to the export support strategies of small and medium-sized enterprises by using the import forecasting model.
In a knowledge-based society where knowledge and information industries are the main pillars of the economy, knowledge sharing and diffusion and its systematic management are recognized as essential strategies for improving national competitiveness and sustainable social development. In the field of Information Systems (IS) research, where the convergence of information technology and management takes place in various ways, the evolution of knowledge occurs only when researchers cooperate in turning old knowledge into new knowledge from the perspective of the scientific knowledge network. In particular, it is possible to derive new insights by identifying topics of interest in the relevant research field, applied methodologies, and research trends through network-based interdisciplinary graftings such as citations, co-authorships, and keywords. In previous studies, various attempts have been made to understand the structure of the knowledge system and the research trends of the relevant community by revealing the relationship between research topics, methodologies, and co-authors. However, most studies have compared two or more journals and been limited to a certain period; hence, there is a lack of research that looked at research trends covering the entire history of IS research. Therefore, this study was conducted in the following order for all the papers (from its first issue in 1977 to the first quarter of 2022) published in the MIS Quarterly (MISQ) Journal, which plays a leading role in revealing knowledge in the IS research field: (1) After extracting keywords, (2) classifying the extracted keywords into research topics, methodologies, and theories, and (3) using topic modeling and keyword network analysis in order to identify the changes from the beginning to the present of the IS research in a chronological manner. Through this study, it is expected that by examining the changes in IS research published in MISQ, the developing patterns of IS research can be revealed, and a new research direction can be presented to IS researchers, nurturing the sustainability of future research.
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