• Journal of Korea Technology Innovation Society
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• v.10 no.2
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• pp.284-309
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• 2007

Technology transfer (TT) consortium is an affiliation of two or more public research institutions (PRIs) that participate in a common technology transfer activity or pool their resources together, with the objective of facilitating technology transfer. Based on empirical analysis of five regional TT consortia (2002-2006) operating in Korea, this paper suggests their effectiveness by employing a TT performance index (TTPI) and identifies possible characteristics involved, such as motivations, facilitators, barriers, and challenges. TTPI devised in the paper is a new composite TT performance index to measure how much the TT performance of a PH changed in a designated year compared to a base year. All the performance indicators of TTPI are well-structured based on the unique TT process that is prevalent in Korea. Further, TTPI can bring different size and focus of PRIs to the same scale for comparison by double-normalizing. The paper tests the effectiveness of TT consortium for the escalation of TT performances in member PRIs by highlighting the differences of TTPI's between 2005 and 2001. As a result, the paper found that the escalation of TTPI for member PRIs was greater than that for non-member PRIs. As for the characteristics of TT consortia, their respective factors obtained by TT expert survey were computed with proportion tests of differences (Z tests) to compare two perspectives between intramural and extramural groups. One of key findings is that there is general homogeneity in stakeholder perspectives regarding motivations, facilitators, barriers, and challenges. Some notable responses are as follow; the most probable motivation to join TT consortium is to share or exchange TT competences for enhanced performance. Second, the most probable facilitator is professional capability of consortium-hired personnel. Third, the foremost probable barriers to effective TT consortium are frequent change of consortium director and passive participation of member PRIs. Lastly, both publicizing TT consortia and developing performance metrics are the most important for the improvement of TT consortia. The understanding of the characteristics of TT consortia increases the likelihood of accelerated success, because TT consortia path from formation to termination encompasses many concepts, processes, principles, and factors. Finally, an analysis of the survey data combined with expert interview and observation data led the authors to derive five conditions as being critical to viable TT consortia in Korea at early stage of technology transfer systems. These conditions include policy infrastructure, proactive participation, excellent professionals, personal motivation, and teaming mechanisms. It is expected that the Korean evidence is a starting point to develop and refine the theory of TT consortia and for additional studies in other countries.

• Journal of Science Education
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• v.38 no.3
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• pp.718-736
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• 2014

This study was intended to determine PCK of the middle school science teachers on Mendelian genetics and factors influenced to form their PCKs. Two science teachers with biology major with a teaching experience over 5 years were chosen as the subject. Data were collected by class observation, semi-structured interview, teacher questionnaire survey, Content Representation and Pedagogical and Professional-experience Repertoire. The collected data were analyzed based on Magnusson's PCK for science teaching consisting of five components: (a) the orientation toward teaching science, (b) the knowledge of science curriculum, (c) the knowledge of students' understanding, (d) the knowledge of assessment, and (e) the knowledge and belief in the instructional strategies to teach science. Teachers could have the orientation toward teaching science served as an assisting role to support students' abilities. Both subject teachers seemed to focus on giving lectures. Their efforts to improve students' exploration methods and abilities were not expressed enough in their real classes and they found that students struggled to understand Mendelian genetics. Therefore, they should have explained them in an easier way and worked harder to make their students understood accurately and applied basic and advanced concepts of Mendelian genetics. They found students' preconception and misconception regarding Mendelian genetics and wished to enhance their learning effects by various teaching strategies such as correcting misconception, adding the history of science and simply assessing students' affirmative domains. It was also found that factors influenced to form PCK regarding Mendelian genetics by both teachers were as follows: teacher's personality and endeavor, textbooks and guidance books, schools and their circumstances, teaching experience, experience as a learner, interaction with their colleagues, and university curriculum. Both teachers said that it was important for teachers to make every efforts to give better classes.

• Journal of Korean Academy of Nursing Administration
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• v.3 no.2
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• pp.61-80
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• 1997

The purpose of this study is to measure the direct and indirect nursing care hours with establishment of nurse substations and compare the experimental nursing units with the existing nursing units For this study, two experimental nursing units: (1) a medical nursing unit and (2) a surgical nursing unit with a nurse substation were selected. And two control nursing units : (1) a medical nursing unit and (2) a surgical nursing unit without a nurse substation were selected. After a three-month experimental operation from June 1 to August 31,1996, research data were collected for three days from September 2 to 4, 1996. We investigated the effects of the direct & indirect nursing care hours with establishment of the nurse substations (improved nursing environment) without adding the staff nurses. The effect of establishment of the nurse sub-station was measured for the differences direct & indirect nursing care hours between experimental and control nursing units. An investigator measured the time for a staff nurse to practice each nursing activity and recorded it every minute. Percentage, average, standard deviation, t-test and ANOVA were used for data analysis. The results are as follows: 1. There was no significant difference between the experimental and control nursing units in staffs' working hours during their shift. 2. There were significant diffferences between the experimental and control nursing units in dierct nursing care hours (t=0.0288, p=0.0001) and indirect nursing care hours (t=0.3886, p=0.0103) per patient. 3. There was significant difference between the experimental and control nursing units in direct nursing care hours done by nurses(t=0.0012, p=0.0111) and aids(t=0.3011, p=0.0027). There was significant difference between the experimental and control nursing units in indirect nursing care hours done by head-nurses(t=0.0051, p=0.0253), nurses(t=0.0071, p=0.0024) and aids (t=0.3227, p=0.0351). There was significant difference between the experimental and control nursing units in indirect nursing care hours done by nurses(t=0.0005, p=0.0015) and aids(t=0.2400, p=0.0013) per patient. There was significant difference between the experimental and control nursing units in indirect nursing care hours done by head-nurses(t=0.0005, p=0.0379) and nurses (t=0.0035, p=0.0198) per patient. 4. Thre were significant differences between the experimental and control nursing units in direct nursing care hours (t=0.1134, p=0.0010) and indirect nursing care hours (t=0.7106, p=0.0008) per staff during the day shift. There were significant differences between the experimental and control nursing units in direct nunsing care hours during the day(t=0.0723, p=0.0003) and evening shift (t=0.0004, p=0.0285) per patient, and indirect nursing care hours during the day shift(t=0.5565, p=0.0036) per patient. 5. There were differences between the experiemental and control nursing units in dircet nursing activities including measurement and observation, medication, communication, teratment, hygiene, and nutrition, and in indirect nursing activities including confirmantion, communication, record, computer work, management of goods. But it was not statistically proven. 6. There was difference between the experimental and control nursing units in unmet-need nursing care hours per patient, but not statistically proven.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.6 no.1
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• pp.78-95
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• 1999

The grafting of a kidney has been found to be the best medical treatment for patients who have renal insufficiency failure, but the patients still have experienced much trouble and apprehension. This study was done to further nursing theory developing for patients who have has a kidney graft from another person. The research method followed grounded theory methodology of Strauss and Corbin. The subjects were three female and four male patients. This study done befween Oct. 1997 and Mar. 1998. All of the subjects were interviewed by the author. Interview were done by the long interview technique and observation. In the process of data analysis, 'heart-boiling' was found to be the core phenomenon. The results were composed to 101 concepts. These concepts were grouped into nineteen categories, and then to twelve categories. There were 12 super-class categories as follows ; 'pain', 'heart-boiling', 'experience of dialysis', 'term of admission to a hospital', 'support of other person', 'dependence on God', 'direction', 'negative reaction', 'positive reaction', 'comfortable', 'lacking', 'acceptance'. In this process, 14 hypotheses were derived from the categories as follows ; (1) The more experience with dialysis that the patients have, the stronger the heart-boiling will tend to be. (2) The less experience with dialysis the patients have, the weaker the heart-boiling will tend to be. (3) The longer admission to hospital the patients have, the stronger the heart-boiling will be. (4) The shorter the admission to hospital the patients have, the weaker the heart-boiling will be. (5) The weaker the intense-grief is, the more positive the reaction to heart-boiling the patients wll have. (6) The stronger the intense-grief is, the more negative the reaction to heart-boiling the patients will have. (7) The stronger the support of other persons that the patients have, the more positive the reaction to heart-boiling the patients will have. (8) The weaker the support of other person that the patients have, the more negative the reaction to heart-boiling the patients will have. (9) The stronger the dependence on God that the patients have, the mure positive reaction to heart-boiling the patients will have. (10) The weaker the dependence on God that the patients have, the more negative reaction to heart-boiling the patients will have. (11) The more positive thoughts that the patients have, the more positive reaction to heart-boiling the patinets will have. (12) The more negative thoughts that the patients have, the more negative reaction to heart-boiling the patients will have. (13) The more positive reaction the patients have, the more free from heart-boiling the patients tend to be. (14) The more negative reaction the patients have, the less free from heart-boiling the patients tend to be. From the analysis of observed data and comparing each class, I concluded that there are four formula relation types between reaction of patients and heart-boiling. (1) If patients have the experience of dialysis, have a long term admission to hospital, are strong in heart-boiling, depend on God, have positive thoughts and another's strong support, they experience release by positive reaction to the intense-grief. (2) If patients have the experience of dialysis, have a short term admission to hospital, are weak in heart-boiling, do not depend on God, have negative thoughts, and have few supports from others, they experience attachment to heart-boiling though a negative reaction. (3) If patients have the experience of dialysis, have a long term admission to hospital, are strong in heart-boiling, do not depend on God, and have negative thoughts, they experience attachment to heart-boiling through negative reaction in spite of support from another. (4) If patients have the experience of dialysis, have a long term admission into hospital, are strong in heart-boiling and satisfaction is low, but they have positive thoughts, then they experience acceptance and harmony through the positive reaction to heart-boiling. The results of this study are expected to help the way nurses care for patients who have had a kidney graft from another.

• Korean Journal of Soil Science and Fertilizer
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• v.43 no.6
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• pp.1040-1046
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• 2010

This research is composed of a series of survey of existing plants species by classifying biotope type of agro-ecosystem of Guksoo village area of Yangpyeong County, to collect and analyze basic data of vegetation analysis for indicators development of agro-ecosystem habitat quality. From the observation area, we found total 141 kinds of tracheophytes (53 Family 114 Genus 124 Species 16 Variety 1 Breed) and they are 3.36% of total Korean tracheophytes (4,191 kinds). Among those 141 tracheophytes, there are 23 kinds of naturalized plants (11 Family 20 Genus 20 Species 2 Variety) and they are 8.61% of total Korean naturalized plants (267 kinds). Among those 141 tracheophytes, they include 0.71% of pteridophyte, 0.71% of gymnosperm, 98.58% of angiosperm. So, most of them are angiosperm. When we classify them according to plant life form characteristics, dormant/diapause type plants include 45 species (31.91%) of annual plant (Th), 19 species (13.48%) of Th (w), 17species (12.06%) of hemicryptophyte (H). Regarding propagation type, as for the Radicoid form, there are 99 species (70.21%) of crumb structure plant, 13 species (9.22%) of $R_4$, 12 species (8.51%) of $R_{2.3}$ are the crumb structure does not make any connection on the ground or under ground. As for the Disseminule form of propagation type, there are 62 species (43.97%) of Gravity dispersal type $D_4$), 23 species (16.31%) of Wind dispersal type ($D_1$), 21 species (14.89%) of $D_{1.4}$. According to this survey of plant distribution rate by plant life form characteristics, we may acquire many knowledge about species composition of sociability, cluster's reaction against environmental elements, space usage and possible species competition in community. It may be very useful basic data for habitat preservation to keep and promote biological diversity.

• Journal of Korea Water Resources Association
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• v.54 no.7
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• pp.535-544
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• 2021

Agricultural water occupies 48% of water demand, and management of agricultural reservoirs is essential for water resources management within agricultural basins. For more efficient use of agricultural water, monitoring the distribution of water resources in agricultural reservoirs and agricultural basins is required. Therefore, in this study, three threshold determination methods (i.e., fixed threshold, Otsu threshold, Kittler-Illingworth (KI) threshold) were compared to detect terrestrial water bodies using Sentinel-1 images for 3 years from 2018 to 2020. The purpose of this study was to evaluate methods for determining threshold values to more accurately estimate the reservoir area. In addition, by analyzing the relationship between the water surface and water storage at the Edong, Gosam, and Giheung reservoirs, water storage based on the SAR image was estimated and validated with observations. The thresholding method for detecting a waterbody was found to be the most accurate in the case of the KI threshold, and the water storage estimated by the KI threshold indicated a very high agreement (r = 0.9235, KGE' = 0.8691). Although the seasonal error characteristics were not observed, the problem of underestimation at high water levels may occur; the relationship between the water surface and the water storage could change rapidly. Therefore, it is necessary to understand the relationship between the water surface area and water storage through ground observation data for a more accurate estimation of water storage. If the use of SAR data through water resources satellites becomes possible in the future, based on the results of this study, it is judged that it will be beneficial for monitoring water storage and managing drought.

• Korean Journal of Remote Sensing
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• v.38 no.2
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• pp.189-198
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• 2022

In this present study, we investigated the effect of the offset correction factor calculation method on the sulfur dioxide (SO₂) column density in the SO₂ retrieval algorithm of the Geostationary Environment Monitoring Spectrometer (GEMS) launched in February 2020. The GEMS operational SO₂ retrieval algorithm is the Differential Optical Absorption Spectroscopy (DOAS) - Principal Component Analysis (PCA) Hybrid algorithm. In the GEMS Hybrid algorithm, the offset correction process is essential to correct the absorption effect of ozone appearing in the SO₂ slant column density (SCD) obtained after spectral fitting using DOAS. Since the SO₂ column density may depend on the conditions for calculating the offset correction factor, it is necessary to apply an appropriate offset correction value. In this present study, the offset correction values were calculated for days with many cloud pixels and few cloud pixels, respectively. And a comparison of the SO₂ column density retrieved by applying each offset correction factor to the GEMS operational SO₂ retrieval algorithm was performed. When the offset correction value was calculated using radiance data of GEMS on a day with many cloud pixels was used, the standard deviation of the SO₂ column density around India and the Korean Peninsula, which are the edges of the GEMS observation area, was 1.27 DU, and 0.58 DU, respectively. And around Hong Kong, where there were many cloud pixels, the SO₂ standard deviation was 0.77 DU. On the other hand, when the offset correction value calculated using the GEMS data on the day with few cloud pixels was used, the standard deviation of the SO₂ column density slightly decreased around India (0.72 DU), Korean Peninsula (0.38 DU), and Hong Kong (0.44 DU). We found that the SO₂ retrieval was relatively stable compared to the SO₂ retrieval case using the offset correction value on the day with many cloud pixels. Accordingly, to minimize the uncertainty of the GEMS SO₂ retrieval algorithm and to obtain a stable retrieval, it is necessary to calculate the offset correction factor under appropriate conditions.

• Journal of Wetlands Research
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• v.25 no.4
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• pp.297-305
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• 2023

The recycled irrigation is a type of irrigation that uses downstream water to fulfill irrigation demand in the upstream agricultural areas; the used irrigation water returns back to the downstream. The recycled irrigation is advantageous for securing irrigation water for plant growth, but the returned water typically contains high levels of nutrients due to excess nutrients inputs during the agricultural activities, potentially deteriorating stream water quality. Therefore, quantitative assessment on the effect of the recycled irrigation on the stream water quality is required to establish strategies for effective irrigation water supply and water quality management. For this purpose, a watershed model is generally used; however no functions to simulate the effects of the recycled irrigation are provided in the existing watershed models. In this study, we used multi-reservoir model coupled with the Hydrological Simulation Program-Fortran (HSPF) to estimate the effect of the recycled irrigation on the stream water quality. The study area was the Gwangok stream watershed, a subwatershed of Gyeseong stream watershed in Changnyeong county, Gyeongsangnam-do. The HSPF model was built, calibrated, and used to produce time series data of flow and water quality, which were used as hypothetical observation data to calibrate the multi-reservoir model. The calibrated multi-reservoir model was used for simulating the recycled irrigation. In the multi-reservoir model, the Gwangok watershed consisted of two subsystems, irrigation and the Gwangok stream, and the reactions (plant uptake, adsorption, desorption, and decay) within each subsystem, and fluxes of water and materials between the subsystems, were modeled. Using the developed model, three scenarios with different combinations of the operating conditions of the recycled irrigation were evaluated for their effects on the stream water quality.

• Korean Journal of Remote Sensing
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• v.39 no.6_2
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• pp.1553-1563
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• 2023

The Geostationary Ocean Color Imager-II (GOCI-II) is a satellite designed for ocean color observation, covering the Northeast Asian region and the entire disk of the Earth. It commenced operations in 2020, succeeding its predecessor, GOCI, which had been active for the previous decade. In this study, we aimed to enhance the atmospheric correction algorithm, a critical step in producing satellite-based ocean color data, by performing cross-calibration on the GOCI-II near-infrared (NIR) band using the GOCI NIR band. To achieve this, we conducted a cross-calibration study on the top-of-atmosphere (TOA) radiance of the NIR band and derived a vicarious calibration gain for two NIR bands (745 and 865 nm). As a result of applying this gain, the offset of two sensors decreased and the ratio approached 1. It shows that consistency of two sensors was improved. Also, the Rayleigh-corrected reflectance at 745 nm and 865 nm increased by 5.62% and 9.52%, respectively. This alteration had implications for the ratio of Rayleigh-corrected reflectance at these wavelengths, potentially impacting the atmospheric correction results across all spectral bands, particularly during the aerosol reflectance correction process within the atmospheric correction algorithm. Due to the limited overlapping operational period of GOCI and GOCI-II satellites, we only used data from March 2021. Nevertheless, we anticipate further enhancements through ongoing cross-calibration research with other satellites in the future. Additionally, it is essential to apply the vicarious calibration gain derived for the NIR band in this study to perform vicarious calibration for the visible channels and assess its impact on the accuracy of the ocean color products.

• Journal of Korea Water Resources Association
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• v.57 no.3
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• pp.151-164
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• 2024

In water treatment plants supplying potable water, the management of chlorine concentration in water treatment processes involving pre-chlorination or intermediate chlorination requires process control. To address this, research has been conducted on water quality prediction techniques utilizing AI technology. This study developed an AI-based predictive model for automating the process control of chlorine disinfection, targeting the prediction of residual chlorine concentration downstream of sedimentation basins in water treatment processes. The AI-based model, which learns from past water quality observation data to predict future water quality, offers a simpler and more efficient approach compared to complex physicochemical and biological water quality models. The model was tested by predicting the residual chlorine concentration downstream of the sedimentation basins at Plant, using multiple regression models and AI-based models like Random Forest and LSTM, and the results were compared. For optimal prediction of residual chlorine concentration, the input-output structure of the AI model included the residual chlorine concentration upstream of the sedimentation basin, turbidity, pH, water temperature, electrical conductivity, inflow of raw water, alkalinity, NH₃, etc. as independent variables, and the desired residual chlorine concentration of the effluent from the sedimentation basin as the dependent variable. The independent variables were selected from observable data at the water treatment plant, which are influential on the residual chlorine concentration downstream of the sedimentation basin. The analysis showed that, for Plant, the model based on Random Forest had the lowest error compared to multiple regression models, neural network models, model trees, and other Random Forest models. The optimal predicted residual chlorine concentration downstream of the sedimentation basin presented in this study is expected to enable real-time control of chlorine dosing in previous treatment stages, thereby enhancing water treatment efficiency and reducing chemical costs.