• Title/Summary/Keyword: regional regression analysis

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Factors Influencing Nursing Students' Choices of a Place of Employment (간호대학생의 취업 지역 선택 영향 요인)

  • You, Sun Ju;Kim, Jong Kyung;Jung, Myun Sook;Kim, Se Young;Kim, Eun Kyung
    • Korean journal of health promotion
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    • v.18 no.4
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    • pp.184-193
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    • 2018
  • Background: Despite increasing the number of newly licensed nurses across Korea, shortages caused by geographical imbalances remains a significant concern. Therefore, understanding nursing students' attitudes to working and living, factors influencing where they first choose to work after graduation is useful in formulating appropriate interventions to retain nurses in regional areas. Methods: A total of 329 senior nursing students from areas outside Metropolitan Seoul completed self-report questionnaires. Data were analyzed using t-test, chi-square test and multiple logistic regression analysis. Results: Of the respondents, 57.8% reported that they planned to work in the region in which their school was located. The three factors ranked as having the greatest influence on their decision to work in non-metropolitan regions were: the cost of living, housing costs, and the proximity to family. Enjoyable aspects of rural life contributed positively to students' intentions to work in non-metropolitan regions, whereas isolation and socialization problems negatively affected their intentions to work in such areas. Conclusions: Greater consideration should be given to improving working conditions and housing environments in non-metropolitan regions.

Study on Changes of NDVI by Growth Stages of Winter Forage Crop Using a Ground-based Camera System (지상 분광 자동측정 시스템을 이용한 동계 사료작물의 생육 시기별 식생지수 변화 연구)

  • Young, Shin Jae;Min, Lee Jun;Hak, Yang Seung;Jae, Lim Kyoung;Jin, Lee Hyo
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.41 no.4
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    • pp.295-301
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    • 2021
  • In this study we developed the ground-based multispectral camera system to determine proper period to build and apply the calibration equation for dry matter of winter forage corps monitoring by unmanned aerial vehicle (UAV). Normalized difference vegetation index (NDVI) of rye, whole barley and Italian ryegrass (IRG) were measured and the growth period was divide by NDVI increasing period and decreasing period. Day of the maximum NDVI value of rye, whole barley and IRG were 8th, 9th and 5th April 2020. Regression analysis showed that the correlation coefficients (R2) between dry matter and NDVI were 0.84, 0.84, 0.78 during NDVI increasing period and 0.00, 0.02, 0.27 during NDVI decreasing period. Therefore, detailed NDVI monitoring is required to determine the proper period to build and apply the calibration equation and the ground-based multispectral camera system was effective tool for detailed NDVI monitoring.

Age group analysis of patients with dog bite injuries who visited a single regional emergency medical center and factors affecting wound infections

  • Kang, Dong Ho;Choi, Jea Yeon;Choi, Woo Sung;Jang, Jae Ho;Cho, Jin-Seong;Hyun, Sung Youl
    • Journal of Trauma and Injury
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    • v.35 no.2
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    • pp.84-91
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    • 2022
  • Purpose: The aim of this study was to analyze by age group the characteristics of patients with dog bite injuries, as well as determine which factors were associated with wound infections in those patients. Methods: We reviewed patients with dog bite injuries who presented to Gachon University Gil Medical Center in Incheon, Korea from January 1, 2014 to December 31, 2018. They were classified by age group: children (0-18 years), adults (19-59 years), or elderly (≥60 years). Event profiles, wound characteristics, and infections were compared across these age groups. Multivariable logistic regression was used to identify factors associated with wound infections. Results: Of the total 972 dog bite injuries, 272 (28.0%) were in children, 606 (62.3%) were in adults, and 94 (9.7%) were in the elderly. The median age was 30 years (interquartile range, 16-48 years) and the majority of patients (60.5%) were female. The most common place of injury was at home (73.8%) and indoors (77.0%). In children, the head and neck were the most frequent sites of injury (43%), while the most frequent site in adults and the elderly (50.8% and 59.6%, respectively) was the upper extremity. The odds ratio (OR) for wound infection was 3.997 (95% confidence interval [CI], 1.279-12.491; P=0.017) for head and neck injuries and 3.881 (95% CI, 1.488-10.122; P=0.006) for lower extremity injuries. The OR for wound infection was 4.769 (95% CI, 2.167-10.494; P<0.001) for significant injuries. Elderly patients had a higher risk for wound infection than other age groups (OR, 2.586; 95% CI, 1.221-5.475; P=0.013). Conclusions: When analyzing patients with dog bite injuries, differences across age groups were found, with the elderly at the highest risk for significant injury and wound infection. It is recommended that age-specific approaches and strategies be used to prevent dog bite wound infections.

Impact of the Coronavirus Disease Pandemic on Patients with Head Injuries in South Korea

  • Nam, Taek Min;Kim, Do-Hyung;Jang, Ji Hwan;Kim, Young Zoon;Kim, Kyu Hong;Kim, Seung Hwan
    • Journal of Korean Neurosurgical Society
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    • v.65 no.2
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    • pp.269-275
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    • 2022
  • Objective : The coronavirus disease 2019 (COVID-19) pandemic is affecting the characteristics of patients with head injuries. This study aimed to evaluate the effect of the COVID-19 pandemic on patients with head injuries at a regional emergency medical center in South Korea. Methods : From April 2019 to November 2020, 350 patients with head injuries were admitted to our hospital. The study period was divided into the pre-COVID-19 (n=169) and COVID-19 (n=181) eras (10 months each). Patients with severe head injuries requiring surgery (n=74) were categorized into those who underwent surgery (n=41) and those who refused surgery (n=33). Results : Head injuries in pediatric patients (<3 years) were more frequent in the COVID-19 era than in the pre-COVID-19 era (8.8% vs. 3.6%, p=0.048). More patients refused surgery in the COVID-19 era than in the pre-COVID-19 era (57.9% vs. 30.6%, p=0.021). Refusal of surgery was associated with old age (67.7±14.5 vs. 52.4±19.1, p<0.001), marital status (married, 84.8% vs. 61.0%, p=0.037), unemployment (42.4% vs. 68.3%, p=0.034), COVID-19 era (66.7% vs. 39.0%, p=0.021), and lower Glasgow coma scale scores (6.12±3.08 vs. 10.6±3.80, p<0.001). Multivariable logistic regression analysis revealed that refusal of surgery was independently associated with old age (adjusted odds ratio [OR], 1.084; 95% confidence interval [CI], 1.030-1.140; p=0.002), COVID-19 era (adjusted OR, 6.869; 95% CI, 1.624-29.054; p=0.009), and lower Glasgow coma scale scores (adjusted OR, 0.694; 95% CI, 0.568-0.848; p<0.001). Conclusion : We observed an increased prevalence of head injuries in pediatric patients (<3 years) during the COVID-19 pandemic. Additionally, among patients with severe head injuries requiring surgery, more patients refused to undergo surgery during the COVID-19 pandemic.

Longitudinal Study on Factors Affecting Older Adults' Welfare Service Utilization (노인의 노인복지서비스 이용경험에 영향을 미치는 요인에 관한 종단연구 -서울과 춘천 노인들을 중심으로)

  • Lim, Yeon Ok;Yoon, Hyunsook
    • 한국노년학
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    • v.29 no.3
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    • pp.1063-1085
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    • 2009
  • The purposes of this study were to investigate the transition of elderly's welfare service utilization and to examine the factors affecting their utilization as time passed. To solve these research questions, the behavioral model presented by Andersen and Newman(1973) was applied. Using Hallym Aging Panel data consisted of 3 waves from 2003 to 2007, autoregressive modeling and regression analysis were applied for research purposes. The results of this study were as follows; (1) The experiences of welfare service utilization were increasing gradually. The complimentary service for the aged was utilized generally, but leisure service and community service were not used in common. (2) Past experience of service affected service utilization in the following times. (3) The factors affecting older adult's service utilization were different among the types of services. Nonetheless, the factors affecting continuously during the periods were found: age as predisposing factor and area as enabling factor in the complimentary service; area and existence of spouse as enabling factor in leisure service; education as predisposing factor and service cognition as enabling factor in community service. Enabling factor has affected more consistently than other factors. The results showed that special attention should be paid to balanced regional arrangement for welfare resources and the public relation considering the elderly's intellectual level.

A Study on the Influence Factors of the Ratio of Assessment Value to Sale Price of Forest Land - Focused on the Sales Case of Forest Land in Gwangju, Gyeonggi-do - (임야가격의 현실화율 영향요인 연구 - 경기 광주의 임야 거래사례를 중심으로 -)

  • Lee, Kyu-Tai
    • Journal of Cadastre & Land InformatiX
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    • v.53 no.2
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    • pp.19-37
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    • 2023
  • This study empirically analyzed the determinants of the assessment ratio (hereinafter 'AR') based on a total of 2,129 sales cases of forests in Gwangju, Gyeonggi-do. The main findings of this study through multiple regression analysis are summarized as follows. First, this study shows that regional characteristics have significantly different effects on the AR of forest land prices. Specifically, there was a significant difference in the AR depending on the location of the parcel by sub-region and the ratio of residential area, and the higher the number of development plans in progress, the more likely the officially assessed land price will be formed close to the sale price. Second, this study analyzed that location characteristics such as the proximity of the inner and outer center of the jurisdiction and traffic accessibility had a significant influence on the determination of the AR. Third, this study identified significant differences in AR depending on detailed factors such as planning management areas, production management areas, conservation areas for mountain, conservation areas for nature, and restricted development areas as land use and regulatory characteristics of forest lands. Fourth, this study found that land characteristics are a significant factor influencing the AR as an individual factor in forest land.

Actions to Expand the Use of Geospatial Data and Satellite Imagery for Improved Estimation of Carbon Sinks in the LULUCF Sector

  • Ji-Ae Jung;Yoonrang Cho;Sunmin Lee;Moung-Jin Lee
    • Korean Journal of Remote Sensing
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    • v.40 no.2
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    • pp.203-217
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    • 2024
  • The Land Use, Land-Use Change and Forestry (LULUCF) sector of the National Greenhouse Gas Inventory is crucial for obtaining data on carbon sinks, necessitating accurate estimations. This study analyzes cases of countries applying the LULUCF sector at the Tier 3 level to propose enhanced methodologies for carbon sink estimation. In nations like Japan and Western Europe, satellite spatial information such as SPOT, Landsat, and Light Detection and Ranging (LiDAR)is used alongside national statistical data to estimate LULUCF. However, in Korea, the lack of land use change data and the absence of integrated management by category, measurement is predominantly conducted at the Tier 1 level, except for certain forest areas. In this study, Space-borne LiDAR Global Ecosystem Dynamics Investigation (GEDI) was used to calculate forest canopy heights based on Relative Height 100 (RH100) in the cities of Icheon, Gwangju, and Yeoju in Gyeonggi Province, Korea. These canopy heights were compared with the 1:5,000 scale forest maps used for the National Inventory Report in Korea. The GEDI data showed a maximum canopy height of 29.44 meters (m) in Gwangju, contrasting with the forest type maps that reported heights up to 34 m in Gwangju and parts of Icheon, and a minimum of 2 m in Icheon. Additionally, this study utilized Ordinary Least Squares(OLS)regression analysis to compare GEDI RH100 data with forest stand heights at the eup-myeon-dong level using ArcGIS, revealing Standard Deviations (SDs)ranging from -1.4 to 2.5, indicating significant regional variability. Areas where forest stand heights were higher than GEDI measurements showed greater variability, whereas locations with lower tree heights from forest type maps demonstrated lower SDs. The discrepancies between GEDI and actual measurements suggest the potential for improving height estimations through the application of high-resolution remote sensing techniques. To enhance future assessments of forest biomass and carbon storage at the Tier 3 level, high-resolution, reliable data are essential. These findings underscore the urgent need for integrating high-resolution, spatially explicit LiDAR data to enhance the accuracy of carbon sink calculations in Korea.

Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer

  • Jee Hyun Ahn;Jieon Go;Suk Jun Lee;Jee Ye Kim;Hyung Seok Park;Seung Il Kim;Byeong-Woo Park;Vivian Youngjean Park;Jung Hyun Yoon;Min Jung Kim;Seho Park
    • Korean Journal of Radiology
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    • v.24 no.5
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    • pp.384-394
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    • 2023
  • Objective: Mammographic density is an independent risk factor for breast cancer that can change after neoadjuvant chemotherapy (NCT). This study aimed to evaluate percent changes in volumetric breast density (ΔVbd%) before and after NCT measured automatically and determine its value as a predictive marker of pathological response to NCT. Materials and Methods: A total of 357 patients with breast cancer treated between January 2014 and December 2016 were included. An automated volumetric breast density (Vbd) measurement method was used to calculate Vbd on mammography before and after NCT. Patients were divided into three groups according to ΔVbd%, calculated as follows: Vbd (post-NCT - pre-NCT)/pre-NCT Vbd × 100 (%). The stable, decreased, and increased groups were defined as -20% ≤ ΔVbd% ≤ 20%, ΔVbd% < -20%, and ΔVbd% > 20%, respectively. Pathological complete response (pCR) was considered to be achieved after NCT if there was no evidence of invasive carcinoma in the breast or metastatic tumors in the axillary and regional lymph nodes on surgical pathology. The association between ΔVbd% grouping and pCR was analyzed using univariable and multivariable logistic regression analyses. Results: The interval between the pre-NCT and post-NCT mammograms ranged from 79 to 250 days (median, 170 days). In the multivariable analysis, ΔVbd% grouping (odds ratio for pCR of 0.420 [95% confidence interval, 0.195-0.905; P = 0.027] for the decreased group compared with the stable group), N stage at diagnosis, histologic grade, and breast cancer subtype were significantly associated with pCR. This tendency was more evident in the luminal B-like and triple-negative subtypes. Conclusion: ΔVbd% was associated with pCR in breast cancer after NCT, with the decreased group showing a lower rate of pCR than the stable group. Automated measurement of ΔVbd% may help predict the NCT response and prognosis in breast cancer.

Analysis of Factors Influencing Entrepreneurial Performance at the University Level for Becoming Entrepreneurial Universities (기업가형 대학(Entrepreneurial University)을 위한 대학의 창업 성과 영향요인 분석)

  • Lim, Hanryeo;Hon, Sungpyo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.15 no.2
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    • pp.19-32
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    • 2020
  • The purpose of this study was to investigate the influence factors of the university level centering on the entrepreneurial performance of the university students and full-time faculties in the situation of increasing interest in entrepreneurial university. In order to achieve the purpose of the study, a panel data was established from 2015 to 2018 on the basis of the university notification data. The panel data included universities with data on the number of university students and full-time faculty founders for at least two years. Through this, four year data from 154 universities were used for analysis. As an analysis method, frequency analysis and descriptive statistics were conducted to understand the characteristics of the university. Since then, panel negative binomial regression analysis has been conducted in consideration of the longitudinal features and distribution of the data. Also, based on the Hausman test results, the results were interpreted based on random effect model. The results of this study are as follows. First, as a result of the analysis of the entrepreneurial performance and the change trend of the domestic university from 2015 to 2018, the entrepreneurial performance of the university has been steadily increasing in the last four years, and the increase in the number of university student entrepreneurs was relatively higher than the full-time faculties. Second, economic and educational approaches need to be combined to promote university students' start-ups. The university factors that promote the start-up of university students were found to be scholarships, start-up grants, startup lectures, and startup clubs. Third, the openness and regional characteristics of the univeristy can promote the establishment of university students. Fourth, the establishment of a research environment and support for start-ups for full-time faculty members can enhance their start-up performance. The university factors that promote the start-up of full-time faculty were research funds and staffes who support start-up. The conclusions drawn from these findings are as follows. First, overall efforts are needed to develop into an entrepreneurial university. Second, in order to change into an entrepreneurial university, direct support for entrepreneurship is needed. Third, as an entrepreneurial university, it is necessary to find a way to bridge the gap by university according to region and size. Fourth, it is necessary to reinforce the support for linking the research results of universities to start-ups. Fifth, it is necessary to improve the atmosphere for full-time faculty members to be entrepreneur.

Characteristic Analysis of the Changes of Landscape Architecture Construction Costs in Time-series - Focused on the Cases of Works of Public Institution's at Capital Area - (아파트단지 조경 공사비의 공종별 경년변화 특성 분석 - 공공기관 시행의 수도권 아파트단지를 중심으로 -)

  • Park, Sang-Jin;Cho, Se-Hwan
    • Journal of the Korean Institute of Landscape Architecture
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    • v.43 no.6
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    • pp.150-159
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    • 2015
  • This study was conducted for the purpose of presenting basic data for calculating a more reasonable landscaping project cost in the future through the construction cost calculation ratio of scenic planting and facilities and their time series trend analysis targeting 'J' corporation, a representative Korean public institution that creates apartment complexes. This study targeted scenic planting and the facility construction costs of 37 apartment complexes in the capital area from 2004 to 2012, using statistical analysis methods such as technical analysis, correlation analysis, and regression analysis to analyze the characteristics of the time series change. The conclusion was drawn as follows. First, breaking down the cost of overall landscaping projects to scenic planting and facility construction, the ratio of the average cost of scenic planting to that of facility construction showed 56.1% to 43.9% from 2004 to 2012. Second, the costs of planting construction and facility construction both showed a fluctuation range of about ${\pm}3%$, implying relatively steady costs considering the inflation rate. Third, the landscape construction cost for each type of construction resulted in a fluctuation range from minimum ${\pm}3%$(exercise facility) to maximum ${\pm}5%$(packing facility), reflecting that among the landscaping projects, the facility construction costs tended to show relatively large fluctuations in accordance with the change of time series. Fourth, the comprehensive indication of the ratio of landscaping project costs by time series and landscaping construction type implies that the regional characteristics and positional condition of the apartment complexes were not reflected sufficiently. Fifth, the high level of correlation of landscaping construction types and landscaping construction elements imply that the entire construction costs were controlled through partial adjustment of cost components within the overall frame of construction cost. These results reveal the problems of standardized landscaping cost irrespective of user satisfaction or environmental traits such as the conditions of the apartment complexes.