• Title/Summary/Keyword: Correlation relationships

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Regional Categorization of Gyeonggi Province for Fine Dust Management (경기도 지역 미세먼지 관리를 위한 권역 범주화 연구)

  • Lee, Su-Min;Lee, Tae-Jung;Oh, Jongmin;Kim, Sang-Cheol;Jo, Young-Min
    • Journal of Environmental Impact Assessment
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    • v.30 no.4
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    • pp.237-246
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    • 2021
  • The similarity of hourly PM10 and PM2.5 concentration profiles of the atmospheric monitoring stations in Gyeonggi-do was evaluated through the multilateral analysis between stations. The existing category for most stations in the regions shows relatively low Pearson correlation values of 0.68 and 0.7 for PM10 and PM2.5 on average respectively, and some monitoring stations revealed high relationships over 0.8 to other regions. Since the current regions are mainly categorized by cluster analysis based on the number of occurrence of high concentration events and geological factors, it is necessary to reclassify them by concentration characteristics for precise fine dust management. In accordance, multi-dimensional scaling being able to visualize could categorize the regions based on regional emission contribution rate and hourly fine dust concentration. As a result of the current analysis, PM10 and PM2.5 could be reclassified into five regions and fourregions, respectively.

Effects of Job Stress on Turnover among Counselors in National Protection Agencies for the Elderly(NPAE): Focused on Mediated Effect of Working Environment (노인보호전문기관 상담원들의 직무스트레스가 이직의도에 미치는 영향: 업무환경의 매개효과를 중심으로)

  • Kim, Mincheol;Hur, Junsoo
    • The Journal of the Korea Contents Association
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    • v.21 no.5
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    • pp.384-397
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    • 2021
  • This study seeks to dertermine the influence and mediating effect of work environments among counselors at National Protection Agencies for Elderly(NPAE), who are conducting elderly abuse prevention service when domestic and facility abuse is augmenting due to social distancing as a result of COVID-19, on turnover intention. This study ultimately applied the analysis of 290 replies to surveys that were distributed to 306 workers at a total of 34 National Protection Agencies for Elderly(NPAE). The nationwide investigation was carrid out from 1st July until 30th July, 2020. SPSS 23.0 was used for the analysis and the Sobel-Test was conducted to verify the multiple regression analysis and significance. This was for the confirmation of descriptive statistics, correlation analysis and mediation effect so that the influence and relationships of variables could be verified. The results are as follows. First the job stress of counselors in the NPAE had a positive effect on turnover intention. Second, the work environment of the NPAE was found to have a negative influence on turnover intention. Third, the work environment played a significant partially mediating role in the relation between the job stress and turnover intention among the counselors. Based on such research results, policy and practical implications to reduce the stress, improve the work environment and reduce turnover of counselors in the NPAE were presented.

Long Range Forecast of Garlic Productivity over S. Korea Based on Genetic Algorithm and Global Climate Reanalysis Data (전지구 기후 재분석자료 및 인공지능을 활용한 남한의 마늘 생산량 장기예측)

  • Jo, Sera;Lee, Joonlee;Shim, Kyo Moon;Kim, Yong Seok;Hur, Jina;Kang, Mingu;Choi, Won Jun
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.23 no.4
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    • pp.391-404
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    • 2021
  • This study developed a long-term prediction model for the potential yield of garlic based on a genetic algorithm (GA) by utilizing global climate reanalysis data. The GA is used for digging the inherent signals from global climate reanalysis data which are both directly and indirectly connected with the garlic yield potential. Our results indicate that both deterministic and probabilistic forecasts reasonably capture the inter-annual variability of crop yields with temporal correlation coefficients significant at 99% confidence level and superior categorical forecast skill with a hit rate of 93.3% for 2 × 2 and 73.3% for 3 × 3 contingency tables. Furthermore, the GA method, which considers linear and non-linear relationships between predictors and predictands, shows superiority of forecast skill in terms of both stability and skill scores compared with linear method. Since our result can predict the potential yield before the start of farming, it is expected to help establish a long-term plan to stabilize the demand and price of agricultural products and prepare countermeasures for possible problems in advance.

Relationship of Life Stress to Stress Coping in Health-Related Majors : Focusing on Occupational Therapy Students (보건계열 대학생의 생활스트레스와 스트레스 대처와의 관계 : 작업치료학과 대학생을 중심으로)

  • Park, Gyeong-A;Lee, Oan-Na
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.3
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    • pp.353-361
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    • 2020
  • The purpose of this study was to examine the relationship between the life stress and stress coping of occupational therapy students in an effort to provide directions and various methods to ensure the psychological stability and successful university adjustment of students. The subjects in this study were 369 students majoring in occupational therapy in universities located in Jeolla Province. A self-administered survey was conducted from June 1 to July 30, 2019. The findings of the study were as follows: As for life stress by general characteristics, there were differences in that regard according to gender, academic year, Family relations and economic status. For stress coping, there was a difference in that regard according to gender. Life stress had a significant positive relationship with stress coping, and specifically, it had significant positive relationships with emotion-focused coping and wishful thinking, subfactors of stress coping. The subfactors of life stress had a significant negative correlation with those of stress coping as well. In conclusion, it is necessary to develop and research the effectiveness of stress coping programs to reduce life stress during college life and facilitate the school adjustment of college students.

The Effect of Nursing Student's Academic Resilience and Academic Burnout on Major Satisfaction (간호대학생의 학업탄력성과 학업소진이 전공만족도에 미치는 영향)

  • Yeom, Young-Ran;Park, Hyun-Jung
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.3
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    • pp.63-73
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    • 2020
  • The purpose of this study was to investigate the relationship of academic resilience, academic burnout and major satisfaction and to identify the influencing factors on major satisfaction of nursing students. Data were collected using questionnaires from 215 students who were in 3rd and 4th year of the nursing college in G city, from May to June 2019. The collected data was analyzed using descriptive statistics, pearson's correlation coefficient and stepwise multiple regression with IBM SPSS 25.0 program. The study results showed that university students in nursing scored 3.71±.56 points for academic resilience, 2.96±.52 for academic burnout, 3.78±.54 for major satisfaction. The higher the academic Resilience, the lower the academic burnout and the higher the level of major satisfaction. The factors affection the relationship of academic resilience, academic burnout and major satisfaction are interpersonal relationships and admission motive which resulted in the major satisfaction level of 44.3%. In conclusion, to enhance major satisfaction for nursing students, efficient education program development is required considering the factors that explain the major satisfaction of nursing students. Also It should be considered that required the students' talent and aptitude. So it makes sure that this will require an advanced method of studying to students' capabilities.

The Effect of Multi-faceted Learning by Application Game-based Student Response System in Nursing Education : Focusing on Kahoot! (간호교육에서 게임기반 학생응답시스템을 적용한 다각적인 학습효과 : Kahoot!을 중심으로)

  • Kim, Yu-Jeong
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.4
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    • pp.255-265
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    • 2021
  • The purpose of this study was to examine the effects of Kahoot!(Game-based Student Response System) on nursing education. This study used an one group Pretest-posttest design. Participants were 179 nursing students from one D university located in Gwangju, Korea. The Kahoot!(Game-based Student Response System) was provided for 6 times. Data were collected between August 26 and October 25, 2019. The collected data was analyzed by descriptive statistics, paired t-test, pearson's correlation coefficient and stepwise multiple regression using IBM SPSS 21.0 program. The results showed that learning engagement(t=-6.257, p=.000) was significantly higher than levels before Kahoot!(Game-based Student Response System), critical thinking disposition(t=-2.163, p=.032) was significantly higher than levels before Kahoot!(Game-based Student Response System), problem solving ability(t=-3.032, p=.003) was significantly higher than levels before Kahoot!(Game-based Student Response System). Significant relationships were found among learning engagement(r=.375, p=.000), critical thinking disposition(r=.286, p=.000), problem solving ability(r=.291, p=.000) and learning satisfaction. The results of stepwise multiple regression indicates that learning engagement(β=.307, p=.000), problem solving ability(β=.158, p=.041) predicts 15.2% in learning satisfaction(F=16.905, p=.000). In conclusion, Kahoot!(Game-based Student Response System) is effective in improving learning engagement and problem solving ability to nursing education.

Analysis of Co-movement and Causality between Supply-Demand Factors and the Shipping Market: Evidence from Wavelet Approach (웨이블릿 분석을 통한 수요-공급요인과 해운시황의 연관성 분석)

  • Jeong, Hoejin;Yun, Heesung;Lee, Keehwan
    • Journal of Korea Port Economic Association
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    • v.38 no.3
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    • pp.87-104
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    • 2022
  • Considering the complex structure and high volatility in the shipping market, it is important to investigate the connectedness amongst influencing factors. This study explores the dynamic relationship between supply-demand factors and shipping freight indices. We choose Capesize and Panamax in the bulk carrier market and use quarterly data of GDP, world fleet, BCI, and BPI from 1999 to 2021. Applying the wavelet analysis and wavelet Granger causality test, the simultaneous examination of co-movement and causality between two factors and the shipping market in both the time and frequency domains is achieved. We find that co-movement and causality vary across time and frequencies, thereby existing dynamic relationships between variables. Second, compared to multiple coherencies using demand and supply factors together, partial coherencies indicate noticeable causalities. It implies that analyzing demand and supply factors separately is essential. Finally, shipping freight indices show a high correlation with the demand factor in a good market and with the supply factor in a bad market. Generally, GDP positively leads shipping freights in the recovery phase while the world fleet negatively leads shipping freights in the downturn. The research is meaningful in that the rarely-applied wavelet analysis is adopted in the shipping market and that it gives a reasonable ground to explain the role of supply and/or demand factors in different phases of the market cycle.

Double mediation effects of cognitive emotion regulation strategy and conflict resolution strategy on the association between rejection sensitivity and dating relationship satisfaction (거부민감성과 이성관계 만족의 관계에서 인지적 정서조절과 갈등해결전략의 이중매개 효과)

  • Koh, Eun Young;Kim, Mikyung
    • Korean Journal of School Psychology
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    • v.17 no.2
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    • pp.181-198
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    • 2020
  • This study examined how the rejection sensitivity model might be applied to the link between rejection sensitivity and dating relationship satisfaction by means of investigating the mediating effect of cognitive emotion regulation strategy and conflict resolution strategy. A total of 668 college students in Seoul (232 males, 436 females, mean age of 21.59 years [SD=2.08]) participated in this study. The results illustrated that the adaptive emotion regulation strategy, among cognitive emotion regulation strategies, and the integration and compromise strategies, among conflict resolution strategies, had the double mediation effect on the association between rejection sensitivity and dating relationship satisfaction. In other words, a direct negative correlation between rejection sensitivity and dating relationship satisfation resulted in high rejection sensitivity, which was expected to generate low satisfaction in dating relationships. However, it was confirmed that the use of these two strategies-the cognitive emotion regulation and the conflict resolution strategy-could bring positive effects in terms of the dating relationship satisfaction; the former helped couples to see situations more broadly and increase positive perceptions, while the latter solve their problems each other. Based on these findings, we discuss their implications for counseling practice and therapeutic interventions

Impacts of Seasonal and Interannual Variabilities of Sea Surface Temperature on its Short-term Deep-learning Prediction Model Around the Southern Coast of Korea (한국 남부 해역 SST의 계절 및 경년 변동이 단기 딥러닝 모델의 SST 예측에 미치는 영향)

  • JU, HO-JEONG;CHAE, JEONG-YEOB;LEE, EUN-JOO;KIM, YOUNG-TAEG;PARK, JAE-HUN
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.27 no.2
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    • pp.49-70
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    • 2022
  • Sea Surface Temperature (SST), one of the ocean features, has a significant impact on climate, marine ecosystem and human activities. Therefore, SST prediction has been always an important issue. Recently, deep learning has drawn much attentions, since it can predict SST by training past SST patterns. Compared to the numerical simulations, deep learning model is highly efficient, since it can estimate nonlinear relationships between input data. With the recent development of Graphics Processing Unit (GPU) in computer, large amounts of data can be calculated repeatedly and rapidly. In this study, Short-term SST will be predicted through Convolutional Neural Network (CNN)-based U-Net that can handle spatiotemporal data concurrently and overcome the drawbacks of previously existing deep learning-based models. The SST prediction performance depends on the seasonal and interannual SST variabilities around the southern coast of Korea. The predicted SST has a wide range of variance during spring and summer, while it has small range of variance during fall and winter. A wide range of variance also has a significant correlation with the change of the Pacific Decadal Oscillation (PDO) index. These results are found to be affected by the intensity of the seasonal and PDO-related interannual SST fronts and their intensity variations along the southern Korean seas. This study implies that the SST prediction performance using the developed deep learning model can be significantly varied by seasonal and interannual variabilities in SST.

Behavior of Clear-water Phase in Hybrid Water System with Fluvial and Lacustrine Characteristics (하천-호수 복합시스템에서 청수현상 발생 특성)

  • Sim, YounBo;Byeon, Myeong-Seop;Kim, Jae-Hyun;Yoo, Soon-Ju;Im, Jong-Kwon;Hwang, Soon-Jin
    • Korean Journal of Ecology and Environment
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    • v.54 no.4
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    • pp.315-326
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    • 2021
  • The clear-water phase (CWP) is a notable limnological phenomenon in freshwater systems caused by predatory interactions between large filter-feeding zooplankton and phytoplankton. However, the mechanisms and factors that influence the extent of CWP, particularly in complex water systems with both fluvial and lacustrine characteristics, remain poorly understood. The present study evaluated CWP occurrence patterns at different sites in a large reservoir located in a temperate monsoon region (Lake Paldang, Korea); the relationships among factors associated with CWP occurrence, such as transparency, zooplankton diversity, and chlorophyll a concentration were investigated. Transparency exhibited significant correlations with precipitation and retention time, as well as the relative abundance of zooplankton (p<0.01), suggesting that a change in the retention time due to precipitation can alter CWP. Data collected before and after CWP occurrence were analyzed using paired t-test to determine variations in CWP occurrence based on the water system characteristics. The results demonstrated that various factors were associated with CWP occurrence in the fluvial-type and lacustrine-type sites. The correlation between zooplankton biomass and transparency was stronger in the lacustrine-type sites than in the fluvial-type sites. The lacustrine-type sites, where cladoceran emergence is common and is associated with long retention times, favored CWP occurrence. The results suggest that lacustrine-type sites, which are conducive to zooplankton development and have relatively long retention times, enhance CWP occurrence. Furthermore, CWP occurrence was notable in spring, and the present study revealed that site-specific CWP could occur throughout the year, regardless of the season.