Proceedings of the Korea Water Resources Association Conference
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2022.05a
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pp.85-85
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2022
The world's most extensive and active deltas, Louisiana's wetlands, are deteriorating rapidly due to multiple stressors such as the discharge of the Mississippi River, sea-level rise, and coastal retreat, the substantial but spatially and temporally variable impacts. However, the ecological and anthropogenic histories, the mode of environmental changes on a multi-millennial timescale have not been thoroughly documented. This study, a palynology-based multiproxy analysis, investigates hydrological, geological, geochemical, and anthropogenic impacts on southern Louisiana wetlands and a variety of external forcing agents influencing ecological succession. Sediment cores extracted from a small pond on a mangrove-dominate island near Port Fourchon, Louisiana, USA yielded a 4,000-year record. The site has been transformed from freshwater to saline water environments, to a mangrove dominant island over the late Holocene. The multivariate principal component analysis identified the relative strength of external drivers responsible for each ecological shift. The Mississippi River delta cycle (lobe switching) was the dominant driver of ecosystem changes during the late Holocene, while relative sea-level rise, tropical cyclones, climate, and anthropogenic effects have been the main drivers late in the site's history.
Purpose - This paper aims to examine a spirituality's impact on the posttraumatic interpersonal relationships of family violence with a structural equation model(SEM). This article starts with the research idea that family violence experience bring about negative emotion in terms of interpersonal relationship leading to the distribution of negative affect in social relationship. The research question of this study pinpoints on how family violence experience affects interpersonal relationship problems and how spirituality affects interpersonal relations problems. Based on the idea, we attempts to deal with spirituality's impact as a driving factor of transforming the distribution of negative affect. Research design, data, and methodology - The structural equation modelling(SEM) is employed as a analysis method of this study. SEM provides a chiefly cross-sectional statistical modelling method, and moreover it allows multiple variables to be associated with a latent variable in this analysis. 300 samples from Seoul, Gyeonggy and Gangwon are selected in the survey. We chose available 271 among them. Results - The results verify that trauma have placed an negative impact on personal relations. The study results also shows that the more serious get the degree of family violence trauma, the worse become interpersonal relationship problems. What is more interesting is that the degree of trauma's impact on interpersonal relation problems in male is higher than that of trauma's impact in female. It is mainly attributed to the fact that women are superior to men in terms of empathy ability and interpersonal relationship orientation. It can be noted that the well-managed spirituality will be able to make a great contribution towards reducing the degree of trauma caused by interpersonal relationships. Conclusions - The study results demonstrates that family violence have negative impacts on spirituality, while spirituality have an positive impacts on reduction the problems of interpersonal relationship. It has been found out that family violence trauma may cause negative affectivity in personal relations, which can distribute negative impacts regarding interpersonal relationship in society. This study also supports that spirituality will be able to function well as a helper, which may reduce the distribution of negative affect in society.
Journal of Korean Society of Industrial and Systems Engineering
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v.44
no.3
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pp.276-287
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2021
Project Management Information System (PMIS) is a special purpose information system that is created to provide useful information for project managers and participants to make effective and efficient decision making during projects. The use of PMIS is increasing in project based industries such as construction, defense, manufacturing, software development, telecommunication, etc. It is generally known that PMIS helps to improve the quality of decision making in project management, and consequently improves the project management performance. However, it is unclear what are the difference of PMIS impacts between industries, and still need to be studied further. The purpose of this study is to compare the impact of PMIS on project management performance between industries. We assume that the effects of PMIS will be different depending on the industry types. Five hypotheses are established and tested by using statistical methods. Data were collected by using a survey questionnaire from those people who had experience of using PMIS in various project related industries such as construction, defense, manufacturing, software development and telecommunication. The survey questionnaire consists of 5 point scale items and were distributed through e-mails and google drive network. A total of 181 responses were collected, and 137 were used for analysis after excluding those responses with missing items. Statistical techniques such as factor analysis and multiple regression are used to analyze the data. Summarizing the results, it is found that the impacts of PMIS quality on the PM performance are different depending on the industry types where PMIS is used. System quality seems to be more important for improving the PM performance in construction industry while information quality seems more important for manufacturing industry. As for the ICT and R&D industries, PMIS seems to have relatively lesser impact compared to construction and manufacturing industries.
International conference on construction engineering and project management
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2009.05a
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pp.425-432
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2009
The construction industry has been a main pillar and serves as a regulator of the Hong Kong economy. Subsequently, the fluctuations in the level of construction output can induce significant rippling effects to the economy. The Asian Financial Crisis started in 1997 and the SARS outbreak in 2003 both introduced major challenges and impacts to the Hong Kong economy and consequently the construction sector. Such decline in the importance of construction has suggested a possible structural change in the sector. It is worth investigating the driving forces behind the construction demand and see if they have changed after the heavy impacts in the past decade. The above considerations have, therefore, been the motivation of the present study to model the Hong Kong residential construction demand through multiple regression technique which can identify the significant influencing factors to the residential demand. The residential construction is studied as it constitutes a significant portion of the total construction volume. The residential sector has great influence to the general economy of Hong Kong. It is found that the underlying market structure and the driving factors for Hong Kong residential demand before and after the Asian Economic Crisis and SARS outbreak are different, suggesting that the residential construction sector or even the larger construction industry may have undergone a major structural change as Hong Kong's economy approaches maturity. It is also observed that the past literatures on construction demand are mostly focusing on predicting demand under a stable economic environment. Hence, it is worth examining if it is possible to model during economic hardship when the residential sector fluctuate dramatically under different external impacts, such as the recent global financial tsunami.
Purpose - In hotel industry, quality of leader-member exchange(LMX) relationship is very critical, because it impacts on the employee's work attitude and behaviors. Thus, this research examines the effect of LMX on employee loyalty in the context of hotel business and identifies mediating roles of work stressors, work role performance in the relationship between LMX and employee loyalty. This research suggests the guidelines for how hotel leaders should manage their employees and build employee loyalty that improve management and business performance. Research design, data, and methodology - This study tests the structural relationship between LMX, work stressors, work role performance, and employee loyalty. Work role performance divide into three sub-dimensions such as individual task proficiency, individual task adaptivity, and individual task proactivity. In order to examine the purposes of this research, research model and hypotheses were developed. All constructs were measured with multiple items developed and tested in the previous studies. The data were collected from 113 franchise hotel employees and were analyzed using SPSS 22.0 and SmartPLS 3 program. Result - The findings of this research are as follows. First, leader-member exchange(LMX) have significant positive impacts on work stressors, work role performance, and employee loyalty. Second, work stressors have significant negative impacts on work role performance and employee loyalty. Third, work role performance has significant positive impact on employee loyalty. Conclusions - The outcomes of this research indicate that hotel leaders should focus on the dyadic relationship with their employees how to improve employee productivity through LMX relationship. In turn, the quality of this relationship influences employees's work attitudes and behaviors. As a result of increasing job demands in hotel business which relies heavily on human resources, the hotel leader must find ways to prevent or reduce stressors and associated strains. If hotel employees perceive the high quality of LMX relationship, they improve their work role performance which influences loyalty. Therefore, the hotel leaders should develop monetary or non-monetary reward system for the employees and, make an efforts to have unique social exchange relationships with employees.
The Journal of Korean Academic Society of Nursing Education
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v.30
no.2
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pp.140-148
/
2024
Purpose: This study aimed to examine the impacts of alternative clinical practice on nursing professionalism in nursing students during the coronavirus disease 2019 (COVID-19) pandemic. Methods: A cross-sectional study was used for this study. Data were collected from 178 junior and senior nursing students from December 28, 2022 to January 6, 2023. The nursing students' characteristics, nursing professionalism, clinical competence, extent of alternative clinical practice, and satisfaction with alternative clinical practice were self-reported through an on-line survey. Multiple linear regressions were conducted to examine the impacts of alternative clinical practice on nursing professionalism along with the confounding variables. Results: The nursing students reported that they performed alternative clinical practice for more than half of their clinical practice throughout 2022. The extent of alternative clinical practice (β=-.11, p=.028), satisfaction with content (β=.14, p=.045), and evaluation of the alternative clinical practice (β=.17, p=.007) were found to have impacted nursing professionalism. These variables explained 55.6% of the variance in nursing professionalism. Conclusion: The study results suggest that the alternative nursing practice could impact nursing students' professionalism. However, it would be possible to develop nursing professionalism if the students' satisfaction with the alternative clinical practice were increased. Nurse educators need to improve the content and evaluation methods of alternative clinical practice to promote nursing professionalism during the implementation of such alternative clinical practice.
KSCE Journal of Civil and Environmental Engineering Research
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v.40
no.1
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pp.119-126
/
2020
This study analyzed the effects of future climate change on water resources in the Gyeongan-cheon watershed of the Han River. Considering the uncertainties of GCM climate data, future data using 16 GCMs and SQM downscaling method are used. And SWAT model was applied to simulate the hydrological changes from the past to the future. The maximum to minimum difference according to GCM for the future period (2010-2099) was about 1,500 mm of annual precipitation, 150 mm of evapotranspiration, 1,380 mm of runoff, and the deviation from the mean was -40 % to +60 % of precipitation, ±15 % of evapotranspiration, -60 % to +90 % of runoff, which means that the variability is very high according to GCM. The impacts of climate change over the three future periods showed that precipitation, evapotranspiration, and runoff were expected to increase gradually toward the far future (2070-2099), and would be relatively larger under the RCP 8.5 scenario. On a monthly basis, it was analyzed that precipitation and runoff increased in July to September, while the evapotranspiration decreased in July and August, and increased in September and October. The results of this study are expected to be helpful in understanding the future climate impacts of various GCM data and the uncertainties associated with GCMs.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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2007.10a
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pp.321-324
/
2007
In this paper, the performance improvement of ultra-wideband (UWB) communications system to achieve high-data-rate using spatial diversity provided by multiple receive antennas is investigated. We derive the expression for the received SINR after spatially combining through multiple receive antennas and evaluate the bit error rate (BER) performance by numerical simulation. We also compare the performance results in the case of 2PPM systems with the theoretical performance results in the case of 2PAM THMA UWB systems. The impacts of spatial diversity on the performance of 2PPM and 2PAM THMA UWB systems are analyzed. It is shown that the BER performance is improved as the number of receive antennas increases. Also, it is observed that in the presence of multiple user interference signals, the performance of 2PAM THMA UWB systems is considerably superior to that of 2PPM THMA UWB systems.
The Journal of The Korea Institute of Intelligent Transport Systems
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v.19
no.5
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pp.1-14
/
2020
The aim of this study is to analyze effects of factors on the number of vehicles involved in traffic accidents on freeway sections. In previous studies about traffic accident severity, the analysis of accidents involving multiple vehicles was insufficient. However, multiple-vehicle accidents are likely to cause casualties and are the main reasons increasing accident duration and social costs. In this study, the number of vehicles involved in an accident was interpreted as the result of the accident, not as the cause of the accident, and the impacts of each accident factor were analyzed using a multinomial logit model. The results indicate that multiple-vehicle accidents are mainly related to following factors: nighttime, driver's faults, obstacles on the road, a downhill slope, heavy vehicles, and freeway mainline sections including tunnels and bridges.
Journal of the Korea Institute of Information and Communication Engineering
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v.11
no.11
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pp.2121-2126
/
2007
In this paper, the performance improvement of ultra-wideband(UWB) communications system to achieve high-data-rate using spatial diversity provided by multiple receive antennas is investigated. We derive the expression for the received SINR after spatially combining through multiple receive antennas and evaluate the bit error rate(BER) performance by numerical simulation. We also compare the performance results in the case of 2PPM systems with the theoretical performance results in the case of 2PAM THMA UWB systems. The impacts of spatial diversity on the performance of 2PPM and 2PAM THMA UWB systems are analyzed. It is shown that the BER performance is improved as the number of receive antennas increases. Also, it is observed that in the presence of multiple user interference signals, the performance of 2PAM THMA UWB systems is considerably superior to that of 2PPM THMA UWB systems.
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