• Development and Reproduction
• /
• v.10 no.4
• /
• pp.255-261
• /
• 2006

Although some phytoes rogens might have beneficiary rather than adverse effects, most endocrine disrupting compounds(EDCs) are considered to be harmful to human and wildlife health through interfering the endocrine system. Previously we found that prepubertal exposure to genistein(GS), a well-known isoflavone phytoestrogen, could activate the reproductive system of immature female rats resulting precocious puberty. Interestingly, di(2-ethyl hexyl) phthalate(DEHP) exposure brought inverse result, a delayed puberty, in the same experimental regimen. In this study, we examined whether prepubertal exposure to GS or DEHP affect the gene expressions of estrogen receptors($ER\;{\alpha}$ and $ER\;{\beta}$) and LH receptor(LHR) which represent the maturational status of ovary and uterus in immature rats. GS (100 mg/kg/day) was administered daily from postnatal day 25 to the day when the first vaginal opening(VO) was observed, and the animals were sacrificed on the next day(day 32). Similarly, DEHP(l00 mg/kg/day) was administered daily from postnatal day 25 through the day when the first V.O. in control group was observed, and the animals were sacrificed on the next day(day 36). To determine the transcriptional changes in the hormone receptors, total RNAs were extracted from ovary and uterus and were applied to semi-quantitative reverse transcription polymerase chain reaction(RT-PCR). In the GS group, the transcriptional activities of $ER\;{\alpha}$, $ER\;{\beta}$ and LHR in uterus and LHR in ovary were significantly increased when compared to those of control group. In the DEHP group, the transcriptional activities of all the hormone receptors measured were significantly lowered when compared to those of control group. These alteration of the reproductive hormone receptor expressions in ovary and uterus might be represent the phenotypic aspects(secondary sexual characteristics) such as tissue weights and reproductive hormone levels during perinatal period in immature female rats.

• Korean Journal of Food Science and Technology
• /
• v.53 no.6
• /
• pp.749-755
• /
• 2021

The objective of this study was to investigate the physicochemical properties of rice starch extracted from stale rice using alkaline steeping (AKL) and improved enzymatic digestion (iENZ) methods. The crude protein content (0.5-0.7%) of stale rice starch (SRS) was less than 1% by iENZ, but not so when measured by the existing ENZ methods. SRS is an intermediate amylose rice starch. AKL-SRS and iENZ-SRS exhibited typical A-type crystal packing arrangements with similar relative crystallinities. iENZ-SRS showed higher gelatinization onset and peak temperatures with a narrower gelatinization temperature range, compared to those of AKL-SRS, indicating that iENZ annealed SRS. Thus, iENZ-SRS exhibited lower swelling power and solubility, and higher pasting viscosities with delayed viscosity development. Overall, the use of stale rice as a rice starch source could make economical production of rice starch possible, and iENZ may diversify rice starch characteristics, which expands the utilization of rice starch in food and non-food industries.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.1
• /
• pp.376-383
• /
• 2019

This study was conducted to investigate academic self-efficacy, critical thinking disposition, and learning motivation, which influence problem solving ability in nursing students. Data were collected from June 4, 2018 to June 29, 2018, and the final 213 data points were used for analysis. The SPSS/WIN 22.0 program was used to conduct descriptive statics, Pearson's correlation coefficient, t-tests, ANOVA, Scheffe's test and multiple regression analysis. The problem solving ability according to the general characteristics differed among residential type (F=3.930, p=0.021) and satisfaction with major (F=4.618, p=0.011). In the correlation between academic self-efficacy, critical thinking disposition, learning motivation, and problem solving ability of the subject, academic self-efficacy (r=0.573, p<0.001), critical thinking disposition (r=0.620, p<0.001), and learning motivation (r=0.563, p<0.001). The factors affecting the problem solving ability of the study subjects were major satisfaction (${\beta}=.117$, p=0.036), academic self-efficacy (${\beta}=0.314$, p<0.001), critical thinking disposition (${\beta}=0.318$, p<0.001), and learning motivation (${\beta}=0.217$, p=0.004), with an explanatory power of 45.2%. In this study, it is necessary to confirm the effects of the development of the intervention program and the application of the program, which can improve the problem solving ability of nursing students.

• Journal of Korea Water Resources Association
• /
• v.54 no.spc1
• /
• pp.1107-1118
• /
• 2021

Climate change brought on by global warming increased the frequency of flood and drought on the Korean Peninsula, along with the casualties and physical damage resulting therefrom. Preparation and response to these water disasters requires national-level planning for water resource management. In addition, watershed-level management of water resources requires flow duration curves (FDC) derived from continuous data based on long-term observations. Traditionally, in water resource studies, physical rainfall-runoff models are widely used to generate duration curves. However, a number of recent studies explored the use of data-based deep learning techniques for runoff prediction. Physical models produce hydraulically and hydrologically reliable results. However, these models require a high level of understanding and may also take longer to operate. On the other hand, data-based deep-learning techniques offer the benefit if less input data requirement and shorter operation time. However, the relationship between input and output data is processed in a black box, making it impossible to consider hydraulic and hydrological characteristics. This study chose one from each category. For the physical model, this study calculated long-term data without missing data using parameter calibration of the Soil Water Assessment Tool (SWAT), a physical model tested for its applicability in Korea and other countries. The data was used as training data for the Long Short-Term Memory (LSTM) data-based deep learning technique. An anlysis of the time-series data fond that, during the calibration period (2017-18), the Nash-Sutcliffe Efficiency (NSE) and the determinanation coefficient for fit comparison were high at 0.04 and 0.03, respectively, indicating that the SWAT results are superior to the LSTM results. In addition, the annual time-series data from the models were sorted in the descending order, and the resulting flow duration curves were compared with the duration curves based on the observed flow, and the NSE for the SWAT and the LSTM models were 0.95 and 0.91, respectively, and the determination coefficients were 0.96 and 0.92, respectively. The findings indicate that both models yield good performance. Even though the LSTM requires improved simulation accuracy in the low flow sections, the LSTM appears to be widely applicable to calculating flow duration curves for large basins that require longer time for model development and operation due to vast data input, and non-measured basins with insufficient input data.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.28 no.6
• /
• pp.882-889
• /
• 2022

In this study, to understand the factors influencing the flow change the Tsushima Warm Current (TWC), the correlation between the volume transport the TWC, El Niño Southern Oscillation (ENSO), and Pacific Decadal Oscillation (PDO) was analyzed. A calculation of the monthly volume transport of TWC for 25 years (1993-2018) revealed that the seasonal fluctuation cycle was the largest in summer and smallest in winter. Power spectrum analysis to determine the periodicity of the TWC volume transport, Oceanic Niño Undex (ONI), and PDO indicated that the TWC volume transport peaked at a one year cycle, but ONI and PDO showed no clear cycle. Further, to understand the correlation between the TWC transport volume and ONI and PDO, the coherence estimation method was used for analysis. The coherence of ONI and PDO had a high mutual contribution in long-period fluctuations of three years or more but had low mutual contribution in short-period fluctuations within one year. However, the coherence value between the two factors of the TWC volume transport and PDO was 0.7 in the 0.8-1.2 year cycle, which had a high mutual contribution. Meanwhile, the TWC volume transport and PDO have an inverse correlation between period I (1993-2002) and period III (2010-2018). When the TWC maximum transport volume (2.2 Sv or more) was high, the PDO index showed a negative value below -1.0, and the PDO index showed a positive value when the TWC maximum transport volume was (below 2.2 Sv). Therefore, using long-term PDO index data, changes in the TWC transport volume and water temperature in the East Sea coastal area could be predicted.

• Korean Journal of Poultry Science
• /
• v.48 no.2
• /
• pp.69-80
• /
• 2021

We conducted a 4 × 4 diallel cross-mating test using 934 chickens from four grandparent stock lines to develop a new synthetic breed of Korean native chicken. The mean values, combining ability, and reciprocal effects on survival rate, body weight, and hen-day egg production were analyzed. In phenotypes, most chickens have yellowish-brown, reddish-brown and mixed color feathers. The average survival rate was 86.8±12.3%, with the highest in YH combination. Specific combining ability (SCA) had a greater effect on survival rate than general combining ability (GCA), and the SCA of HY combination was the highest. The 16 cross-combinations were distinctly divided into three weight groups according to their genetic characteristics. At 12 weeks of age, GCA showed a greater effect on weight than SCA, and the SCA of FH combination was the highest. The age at first egg laying was 157 days, and the crosses reached sexual maturity faster than the pure lines. The egg production rate was highest in SY at 79.5±2.1%. The GCA and SCA for hen-day egg production were similar, and the SCA was highest in the HS and FY combinations. The reciprocal effect showed that the offspring's egg production rate was high when S and Y were maternal parents in almost all combinations. In conclusion, FH and HF combinations, which have excellent growth performance, are the most desirable paternal parent stock strains, and FY, FS, HY, and SY combinations, which have excellent laying performance with moderate weight, are the preferred maternal strains.

• Journal of Bio-Environment Control
• /
• v.31 no.4
• /
• pp.485-496
• /
• 2022

Modern agriculture is being transformed into smart agriculture to maximize production efficiency along with changes in the 4th industrial revolution. However, rural areas in Korea are facing challenges of aging, low fertility, and population outflow, making it difficult to transition to smart agriculture. Among ICT technologies, simulation allows users to observe or experience the results of their choices through imitation or reproduction of reality. The combination of the three-dimension (3D) model and the greenhouse simulator enable a 3D experience by virtual greenhouse for fruits and vegetable cultivation. At the same time, it is possible to visualize the greenhouse under various cultivation or climate conditions. The objective of this study is to apply the greenhouse climate management model for simulation development that can visually see the state of the greenhouse environment under various micrometeorological properties. The numerical solution with the mathematical model provided a dynamic change in the greenhouse environment for a particular greenhouse design. Light intensity, crop transpiration, heating load, ventilation rate, the optimal amount of CO₂ enrichment, and daily light integral were calculated with the simulation. The results of this study are being built so that users can be linked through a web page, and software will be designed to reflect the characteristics of cladding materials and greenhouses, cultivation types, and the condition of environmental control facilities for customized environmental control. In addition, environmental information obtained from external meteorological data, as well as recommended standards and set points for each growth stage based on experiments and research, will be provided as optimal environmental factors. This simulation can help growers, students, and researchers to understand the ICT technologies and the changes in the greenhouse microclimate according to the growing conditions.

• Journal of Korean Academy of Dental Administration
• /
• v.5 no.1
• /
• pp.22-30
• /
• 2017

Objective: The purpose is to study the factors to impact on the satisfaction of field practice among dental hygiene students and to provide the basic data for the quality improvement of the field practices for dental hygiene students. Methods: A self-reported questionnaires were filled out by 108 dental hygiene students in C city. Questionnaires were composed with the general characteristics, satisfaction to major, and satisfaction to field clinical practice. The data was analyzed by chi-square statistics using SPSS 20.0 program. Results: The higher satisfaction to communication with professor or seniors in department was associated with the higher satisfaction to field clinical practice (p<0.05). The higher satisfaction to field clinical practice hours per week was associated with the higher satisfaction to field clinical practice (p<0.05). The higher interest to major subjects and the satisfaction to the laboratory environment were associated with the higher satisfaction to field clinical practice (p<0.05). Conclusions: The higher satisfaction to major was associated with the higher satisfaction to field clinical practice. Therefore, the systematic curriculum development is needed to improve the satisfaction with major and clinical practice.

• Journal of Internet Computing and Services
• /
• v.16 no.6
• /
• pp.89-95
• /
• 2015

Traditional frequent pattern mining discovers valid patterns with no smaller frequency than a user-defined minimum threshold from databases. In this framework, an enormous number of patterns may be extracted by a too low threshold, which makes result analysis difficult, and a too high one may generate no valid pattern. Setting an appropriate threshold is not an easy task since it requires the prior knowledge for its domain. Therefore, a pattern mining approach that is not based on the domain knowledge became needed due to inability of the framework to predict and control mining results precisely according to the given threshold. Top-k frequent pattern mining was proposed to solve the problem, and it mines top-k important patterns without any threshold setting. Through this method, users can find patterns from ones with the highest frequency to ones with the k-th highest frequency regardless of databases. In this paper, we provide knowledge both on frequent and top-k pattern mining. Although top-k frequent pattern mining extracts top-k significant patterns without the setting, it cannot consider both item quantities in transactions and relative importance of items in databases, and this is why the method cannot meet requirements of many real-world applications. That is, patterns with low frequency can be meaningful, and vice versa, in the applications. High utility pattern mining was proposed to reflect the characteristics of non-binary databases and requires a minimum threshold. Recently, top-k high utility pattern mining has been developed, through which users can mine the desired number of high utility patterns without the prior knowledge. In this paper, we analyze two algorithms related to top-k high utility pattern mining in detail. We also conduct various experiments for the algorithms on real datasets and study improvement point and development direction of top-k high utility pattern mining through performance analysis with respect to the experimental results.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.5
• /
• pp.2293-2303
• /
• 2013

Objective: This study aims to determine whether national patient safety indicators (PSIs) can be calculated. Methods: Using PSI criteria from Organization for Economic Co-Operation and Development (OECD) Health Technical Papers 19 based on the Agency for Healthcare Research and Quality (AHRQ), PSIs were identified in the Korean National Hospital Discharge In-depth Injury Survey (KNHDIIS) database for 875,622 inpatient admissions between 2004 and 2008. Logistic regression was used to estimate factors of variations for PSIs. Results: From 2004 to 2008, 3,084 PSI events of 8 PSIs occurred for over 80 thousands discharges. Rates per 1,000 events for decubitus ulcer (PSI3, 4.88), foreign body left during procedure (PSI5, 0.05), postoperative sepsis (PSI13, 1.32), birth trauma-injury to neonate (PSI17, 7.92) and obstetric trauma-vaginal delivery (PSI18, 32.81) are all identified between ranges from maximum to minimum of OECD rates, respectively. However, rates per 1,000 events for selected infections due to medical care (PSI7, 0.22), postoperative pulmonary embolism or deep vein thrombosis (PSI12, 0.90) and accidental puncture or laceration (PSI15, 0.71) are below the minimum of OECD range. 7 PSIs except PSI 18 showed statistically significant relationship with number of secondary diagnoses. When adjusting patient characteristics, there are statistically significant different rates according to bed size or location of hospitals. Conclusion: This is the first empirical study to identify nationally number of adverse events and PSIs using administrative database. While many factors influencing these results such as quality of data, clinical data and so on are remain, the results indicate opportunities for estimate national statistics for patient safety. Furthermore outcome research such as mortality related to adverse events is needed based on results of this study.