• Title/Summary/Keyword: Data Analysis

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Investing the relationship between R&D expenditure and economic growth (연구개발투자와 경제성장의 상호관계 실증분석)

  • hyunyi Choi;Cho Keun Tae
    • Journal of Technology Innovation
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    • v.31 no.2
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    • pp.59-82
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    • 2023
  • The purpose of this research is to conduct the empirical analysis of the short- and long-term causal relationship between public R&D investment, corporate R&D investment, and university R&D investment on economic growth in Korea. To this end, based on the time series data from 1976 to 2020, a causality test was conducted through the unit root test, cointegration test, and vector error correction model (VECM). As a result, it was found that there is a long-run equilibrium relationship between economic growth in Korea, public R&D investment, corporate R&D investment, and university R&D investment, in which a causal relationship exists in the long run. Also, while public R&D investment has a short-term effect on economic growth, corporate and university R&D investment does not have a short-term effect on economic growth. In addition, the results shows that there is a bidirectional causal relationship between economic growth and public R&D investment, corporate R&D investment and public R&D investment, and university R&D investment and public R&D investment in the short term. Through this research, it was empirically found that a highly mutual relationship exists between public R&D investment, corporate R&D investment, university R&D investment and economic growth. In order to increase the ripple effect of R&D investment on economic growth in the future, R&D investment between universities and corporations should be mutually promoted, and R&D investment by corporations should have a positive effect on public R&D investment so that public R&D investment can contribute to future economic growth.

Statistical Techniques to Detect Sensor Drifts (센서드리프트 판별을 위한 통계적 탐지기술 고찰)

  • Seo, In-Yong;Shin, Ho-Cheol;Park, Moon-Ghu;Kim, Seong-Jun
    • Journal of the Korea Society for Simulation
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    • v.18 no.3
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    • pp.103-112
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    • 2009
  • In a nuclear power plant (NPP), periodic sensor calibrations are required to assure sensors are operating correctly. However, only a few faulty sensors are found to be calibrated. For the safe operation of an NPP and the reduction of unnecessary calibration, on-line calibration monitoring is needed. In this paper, principal component-based Auto-Associative support vector regression (PCSVR) was proposed for the sensor signal validation of the NPP. It utilizes the attractive merits of principal component analysis (PCA) for extracting predominant feature vectors and AASVR because it easily represents complicated processes that are difficult to model with analytical and mechanistic models. With the use of real plant startup data from the Kori Nuclear Power Plant Unit 3, SVR hyperparameters were optimized by the response surface methodology (RSM). Moreover the statistical techniques are integrated with PCSVR for the failure detection. The residuals between the estimated signals and the measured signals are tested by the Shewhart Control Chart, Exponentially Weighted Moving Average (EWMA), Cumulative Sum (CUSUM) and generalized likelihood ratio test (GLRT) to detect whether the sensors are failed or not. This study shows the GLRT can be a candidate for the detection of sensor drift.

Scavenging Efficiency Based on Long-Term Characteristics of Precipitation and Particulate Matters in Seoul, Korea (서울지역 장기간 강수와 미세먼지의 특성 분석에 기반한 미세먼지 세정효과)

  • Suji Han;Junshik Um
    • Atmosphere
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    • v.33 no.4
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    • pp.367-385
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    • 2023
  • The variabilities of precipitation and particulate matters (i.e., PM10 and PM2.5) and the scavenging efficiency of PMs by precipitation were quantified using long-term measurements in Seoul, Korea. The 21 years (2001~2021) measurements of precipitation and PM10 mass concentrations, and the 7 years (2015~2021) of PM2.5 mass concentrations were used. Statistical analysis was performed for each period (i.e., year, season, and month) to identify the long-term variabilities of PMs and precipitation. PM10 and PM2.5 decreased annually and the decreasing rate of PM10 was greater than PM2.5. The precipitation intensity did not show notable variation, whereas the annual precipitation amount showed a decreasing trend. The summer precipitation amount contributed 61.10% to the annual precipitation amount. The scavenging efficiency by precipitation was analyzed based on precipitation events separated by 2-hour time intervals between hourly precipitation data for 7 years. The scavenging efficiencies of PM10 and PM2.5 were quantified as a function of precipitation characteristics (i.e., precipitation intensity, amount, and duration). The calculated average scavenging efficiency of PM10 (PM2.5) was 39.59% (35.51%). PM10 and PM2.5 were not always simultaneously scavenged due to precipitation events. Precipitation events that simultaneously scavenged PM10 and PM2.5 contributed 42.24% of all events, with average scavenging efficiency of 42.93% and 43.39%. The precipitation characteristics (i.e., precipitation intensity, precipitation amount, and precipitation duration) quantified in these events were 2.42 mm hr-1, 15.44 mm, and 5.51 hours. This result corresponds to 145% (349%; 224%) of precipitation intensity (amount; duration) for the precipitation events that do not simultaneously scavenge PM10 and PM2.5.

The Effects of Emerging Infectious Disease Knowledge and Clinical Practice Stress on Nursing Students' Coping with Stress (신종감염병지식과 임상실습스트레스가 간호대학생의 스트레스대처방식에 미치는 영향)

  • So Young Lee;Hey Kyoung Kim
    • Journal of the Korean Applied Science and Technology
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    • v.40 no.3
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    • pp.507-520
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    • 2023
  • The purpose of this study is to inquire into the effect on the coping with stress by the knowledge of Emerging infectious disease, clinical practice stress. A research was held to the nursing students living in Seoul and Chungbuk from September 10 to October 10, 2022, 259copies of the data were used for the final analysis, Pearson's correlation coefficient and Multiple linear regressions was used. As a result of the study, there was a positive correlation between clinical practice stress due to burden of work, practice education environment stress, and active coping with stress. Clinical practice stress due to interpersonal conflicts, conflicts with patients, burden of work, and undesirable role models was positively correlated with passive coping with stress. Satisfaction of clinical practice, practical educational environment stress and gender accounted for 15.0% of the total variance in the active stress coping, and burden of work accounted for 7% of the total variance in the passive stress coping. Consequently, this study could be suggested as a basis for counseling and developing practical education program for active coping with stress.

Identification and Characterization of Polymorphic Microsatellite DNA Markers Using Next-generation Sequencing in Parapristipoma trilineatum (차세대 염기서열 분석법을 사용한 벤자리(Parapristipoma trilineatum)의 microsatellite 마커의 개발 및 유전학적 특성 분석)

  • Chun Mae Dong;Mi-Nan Lee;Jae Koo Noh;Jin Woo Park;Young-Ok Kim;Eun-Mi Kim
    • Journal of Life Science
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    • v.33 no.8
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    • pp.623-631
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    • 2023
  • This study was conducted to develop microsatellite markers in Parapristipoma trilineatum using next-generation sequencing. A total of 402,244,934 reads were generated on the Illumina Hiseq X Ten System, yielding 60,738,985,034 bp of sequences. The de novo assembly resulted in 1,320,995 contigs. A total of 952,326 contigs (0.016%) including 151 microsatellite loci were derived from the 1,320,995 contigs longer than 640 bp. A total of 34 primer sets were designed from the 151 microsatellite loci. As a result, 15 microsatellite loci were chosen and used for assuming population genetic parameters in the wild and farmed populations. The mean number of effective alleles was 12, ranging from 6 to 25. The observed heterozygosity (HO) and the expected heterozygosity (HE) ranged between 0.530 and 0.873, with an average of 0.750, and from 0.647 to 0.895, with an average of 0.793, respectively. According to these results, the developed set of 15 microsatellite markers is expected to be useful for the analysis of genetic characteristics in the population of P. trilineatum in Korea. There are requirements now for further genetic information, fishery resource management, breeding guidelines, support with the selection of breeds and studies on the effects of release, all of which will improve species conservation, and through future research, we aim to offer genetic foundational data with that goal.

Plant Proteins in Relation to Health-related Quality of Life in South Korean Individuals Aged 50 Years or Older: Korea National Health and Nutrition Examination Survey 2016-2018 (50세 이상 한국인의 식물성 단백질 섭취와 건강 관련 삶의 질과의 연관성: 국민건강영양조사 2016-2018)

  • Jun, Sook-Hyun;Lee, Jung Woo;Shin, Woo-Kyoung;Kim, Yookyung
    • Journal of Korean Home Economics Education Association
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    • v.34 no.4
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    • pp.1-18
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    • 2022
  • This study aimed to investigate the association between plant protein intake and health-related quality of life (HRQoL) in Korean individuals aged 50 years or older. Using the 2016-2018 Korea National Health and Nutrition Examination Survey data, 7,956 participants (3,434 men and 4,522 women) were included in the study. HRQoL was measured using the Euro-quality of life five-dimension (EQ5D), composed of physical function, self-care, daily activities, pain/discomfort, and anxiety/depression problems. The EQ5D estimates were converted into an EQ5D index score. The association between daily intake of plant proteins and HRQoL was evaluated using regression analysis. The intake of total plant protein, legume nut seed (LNS), and fermented bean (FERMB) proteins were all positively associated with HRQoL in both men and women (p < 0.01). Of EQ5D's five dimensions, physical function and daily activities were most commonly associated with plant protein intake. Compared to LNS protein or FERMB protein intake, total plant protein intake showed a better association with HRQoL. In conclusion, a significant association was observed between plant protein intake and HRQoL. It suggests that adequate intake of plant protein might be helpful for the maintenance or improvement of HRQoL in Korean adults.

Compressed Demographic Transition and Economic Growth in the Latecomer

  • Inyong Shin;Hyunho Kim
    • Analyses & Alternatives
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    • v.7 no.2
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    • pp.35-77
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    • 2023
  • This study aims to solve the entangled loop between demographic transition (DT) and economic growth by analyzing cross-country data. We undertake a national-level group analysis to verify the compressed transition of demographic variables over time. Assuming that the LA (latecomer advantage) on DT over time exists, we verify that the DT of the latecomer is compressed by providing a formal proof of LA on DT over income. As a DT has the double-kinked functions of income, we check them in multiple aspects: early maturation, leftward threshold, and steeper descent under a contour map and econometric methods. We find that the developing countries (the latecomer) have speedy DT (CDT, compressed DT) as well as speedy income such that DT of the latecomers starts at lower levels of income, lasts for a shorter period, and finishes at the earlier stage of economic development compared to that of developed countries (the early mover). To check the balance of DT, we classify countries into four groups of DT---balanced, slow, unilateral, and rapid transition countries. We identify that the main causes of rapid transition are due to the strong family planning programs of the government. Finally, we check the effect of latecomer's CDT on economic growth inversely: we undertake the simulation of the CDT effect on economic growth and the aging process for the latecomer. A worrying result is that the CDT of the latecomer shows a sharp upturn of the working-age population, followed by a sharp downturn in a short period. Compared to early-mover countries, the latecomer countries cannot buy more time to accommodate the workable population for the period of demographic bonus and prepare their aging societies for demographic onus. Thus, we conclude that CDT is not necessarily advantageous to developing countries. These outcomes of the latecomer's CDT can be re-interpreted as follows. Developing countries need power sources to pump up economic development, such as the following production factors: labor, physical and financial capital, and economic systems. As for labor, the properties of early maturation and leftward thresholds on DTs of the latecomer mean that demographic movement occurs at an unusually early stage of economic development; this is similar to a plane that leaks fuel before or just before take-off, with the result that it no longer flies higher or farther. What is worse, the property of steeper descent represents the falling speed of a plane so that it cannot be sustained at higher levels, and then plummets to all-time lows.

Development of Korean Adult Patients Delirium Screening Tool (한국형 성인 환자 섬망 선별 도구 개발)

  • Jeong, Hye Won;Moon, Sun Hee;Choi, Myoung Lee;Lee, Jung A;Ahn, Shin Hye;Jeon, Ji Hye;You, Ji Na;Kim, Hee Jin;Byeon, Ji Eun;Kim, Sook Young;Sung, In Suk
    • Journal of Korean Clinical Nursing Research
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    • v.29 no.2
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    • pp.198-209
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    • 2023
  • Purpose: The purpose of this study was to develop a Korean Adult Patients Delirium Screening Tool (K-APDS) for those admitted to general wards, and to verify its reliability and validity. Methods: For the development of the tool, 12 items were derived through the results of literature review and focus group interviews with general ward nurses, and the content validity was confirmed by experts. To verify the reliability and validity of the developed tool, 317 adult patients who were admitted to general wards of three tertiary general hospitals from October to November 2022 were evaluated by the attending nurse and data were collected. Results: After factor analysis for construct validity verification, two factors were extracted, which explained 60.1% of the total variance. After the validation of the control group, the difference in the delirium incidence scores calculated using the K-APDS between the delirium group and non-delirium group was very significant (Z=-10.82, p<.001). To verify the criterion validity, K-APDS, Delirium Observation Screening, and Pearson's correlation coefficient were checked and found to be .94 (p<.001). The predictive validity test reported that the sensitivity was 91.1%, specificity was 82.4%, positive predictive value was 52.6%, and negative predictive value was 97.8%. The reliability of K-APDS was found to be high with Cronbach's ⍺=.91. Conclusion: K-APDS can screen for delirium with 2 or more points, excellent validity and reliability have been verified. Therefore, this tool could be applied immediately in the clinical field, and will contribute to the early detection of delirium, enabling rapid interventions.

A Study on the Prevalence and Influencing Factors of Suicide Ideation during the COVID-19 Pandemic (코로나 대유행 시기 자살사고 유병률과 영향요인에 관한 연구)

  • SeongYeon Kim ;HyoEun Park ;BoRa Lee ;DongHun Lee
    • Korean Journal of Culture and Social Issue
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    • v.29 no.3
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    • pp.405-427
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    • 2023
  • This study aimed to identify demographic variables(gender, age group, occupation, living arrangement, economic level, respiratory and chronic diseases, previous medical history), COVID-19 variables(COVID-19 prevention behavior, frequent use of media to obtain COVID-19 information), and psychological behavioral variables(depression, anxiety, loneliness, and increased drinking). From February to March 2021, an online survey of adults was conducted, and a total of 1,434 data were used for analysis. 260 out of 1,434 people were confirmed to have suicide ideation, the prevalence of suicide ideation among adults during the COVID-19 was 18.1%. Logistic regression analyses indicated elevated odds of suicidal ideation among individuals in their 20s and 30s, those living alone, exhibiting fewer COVID-19 preventive behaviors, consuming COVID-19 information more frequently through media, and reporting higher levels of loneliness. Furthermore, within the group experiencing depression, anxiety, and increased drinking, greater levels of these factors correlated with higher odds of suicidal ideation. Based on the results, implications and significance of the study were discussed.

A Study on the Improvement of Wave and Storm Surge Predictions Using a Forecasting Model and Parametric Model: a Case Study on Typhoon Chaba (예측 모델 및 파라미터 모델을 이용한 파랑 및 폭풍해일 예측 개선방안 연구: 태풍 차바 사례)

  • Jin-Hee Yuk;Minsu Joh
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.35 no.4
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    • pp.67-74
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    • 2023
  • High waves and storm surges due to tropical cyclones cause great damage in coastal areas; therefore, accurately predicting storm surges and high waves before a typhoon strike is crucial. Meteorological forcing is an important factor for predicting these catastrophic events. This study presents an improved methodology for determining accurate meteorological forcing. Typhoon Chaba, which caused serious damage to the south coast of South Korea in 2016, was selected as a case study. In this study, symmetric and asymmetric parametric vortex models based on the typhoon track forecasted by the Model for Prediction Across Scales (MPAS) were used to create meteorological forcing and were compared with those models based on the best track. The meteorological fields were also created by blending the meteorological field from the symmetric / asymmetric parametric vortex models based on the MPAS-forecasted typhoon track and the meteorological field generated by the forecasting model (MPAS). This meteorological forcing data was then used given to two-way coupled tide-surge-wave models: Advanced CIRCulation (ADCIRC) and Simulating Waves Nearshore (SWAN). The modeled storm surges and waves correlated well with the observations and were comparable to those predicted using the best track. Based on our analysis, we propose using the parametric model with the MPAS-forecasted track, the meteorological field from the same forecasting model, and blending them to improve storm surge and wave prediction.