• Title/Summary/Keyword: associated influencing factors

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Factors Influencing Objective Emergency Nursing Performance of Nursing Students on Simulation Practice (시뮬레이션 실습에서 간호학생의 객관적 응급간호 임상수행능력에 영향 미치는 요인)

  • Choi, Eun Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.3
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    • pp.296-303
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    • 2020
  • This study examined the factors affecting the emergency nursing performance of nursing students during a simulation. The variables related to the simulation were the objective and subjective emergency nursing performance, critical thinking, program outcome, simulation satisfaction, simulation confidence, and simulation immersion. The participants were 92 senior students who provided informed consent with an explanation about attending the study. The general characteristics and simulation-related data were obtained from the students before and after the simulation. An assessor evaluated the objective emergency nursing performance during the simulation and program outcome through a report reviewed after the simulation. Data analysis was performed using the number, percentage, mean, standard deviation, X2-test, one-way ANOVA, Pearson correlation, and progressive regression through the SPSS/WIN 22.0 program. Emergency nursing performance by the assessor was negatively associated with the satisfaction of clinical practice (r=-.31, p=.005) and positively related to the subjective clinical performance (r=.23, p=.036). The affecting rate was just 12%, which was low for explaining the objective emergency nursing performance during the simulation. Further studies will be needed to explore other factors affecting the emergency nursing performance.

A Study on the Vulnerability Assessment of Forest Vegetation using Regional Climate Model (지역기후모형을 이용한 산림식생의 취약성 평가에 관한 연구)

  • Kim, Jae-Uk;Lee, Dong-Kun
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.9 no.5
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    • pp.32-40
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    • 2006
  • This study's objects are to suggest effective forest community-level management measures by identifying the vulnerable forest vegetation communities types to climate change through a comparative analysis with present forest communities identified and delineated in the Actual Vegetation Map. The methods of this study are to classify the climatic life zones based on the correlative climate-vegetation relationship for each forest vegetation community, the Holdridge Bio-Climate Model was employed. This study confirms relationship between forest vegetation and environmental factors using Pearson's correlation coefficient analysis. Then, the future distribution of forest vegetation are predicted derived factors and present distribution of vegetation by utilizing the multinomial logit model. The vulnerability of forest to climate change was evaluated by identifying the forest community shifts slower than the average velocity of forest moving (VFM) for woody plants, which is assumed to be 0.25 kilometers per year. The major findings in this study are as follows : First, the result of correlative analysis shows that summer precipitation, mean temperature of the coldest month, elevation, soil organic matter contents, and soil acidity (pH) are highly influencing factors to the distribution of forest vegetation. Secondly, the result of the vulnerability assessment employing the assumed velocity of forest moving for woody plants (0.25kmjyear) shows that 54.82% of the forest turned out to be vulnerable to climate change. The sub-alpine vegetations in regions around Mount Jiri and Mount Seorak are predicted to shift the dominance toward Quercus mongolica and Pinus densiflora communities. In the identified vulnerable areas centering the southern and eastern coastal regions, about 8.27% of the Pinus densiflora communities is likely to shift to sub-tropical forest communities, and 3.38% of the Quercus mongolica communities is likely to shift toward Quercus acutissima communities. In the vulnerable areas scattered throughout the country, about 8.84% of the Quercus mongolica communities is likely to shift toward Pinus densiflora communities due to the effects of climate change. The study findings concluded that challenges associated with predicting the future climate using RCM and the assessment of the future vulnerabilities of forest vegetations to climate change are significant.

Factors influencing the return of spontaneous circulation of patients with out-of-hospital cardiac arrest (병원외 심정지 환자의 자발적 순환 회복에 영향을 미치는 요인)

  • Park, Il-Su;Kim, Eun-Ju;Sohn, Hae-Sook;Kang, Sung-Hong
    • Journal of Digital Convergence
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    • v.11 no.9
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    • pp.229-238
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    • 2013
  • Out-of-hospital cardiac arrest is a major public health problem in Korea. The survival rate to discharge remains at approximately 3.5% and only 1% have good neurological function. To increase the survival rate, prehospital care should restore spontaneous circulation. The purpose of this study was to analyze the factors associated with return of spontaneous circulation(ROSC) after out-of-hospital cardiac arrest. Data used for this study were collected from KCDC Out-of-Hospital Cardiac Arrest Surveillance 2009. As for the results of decision tree analysis, it is clear that prehospital CPR, cardiac arrest witness, activity, past history(cancer/heart disease/stroke), place, bystander CPR, response time, age, etc are significant contributing factors in ROSC. Among 16 cardiac arrest types from decision tree classification, the ROSC rate of type 1 is the highest(29.6%). Also notable is the fact that bystander CPR was strongly correlated with ROSC of patents with cardiac arrest occurring in non-public places. Community resources should be concentrated on increasing bystander CPR and early prehospital emergency care.

Development of Traffic Accident Prediction Models by Traffic and Road Characteristics in Urban Areas (도로 및 교통특성에 따른 계획 단계의 도시부 도로 교통사고 예측모형개발)

  • 이수범;김정현;김태희
    • Journal of Korean Society of Transportation
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    • v.21 no.4
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    • pp.133-144
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    • 2003
  • The current procedure of estimating accident reduction benefit shows fixed accident rates for each level of roads without considering the various characteristics of roadway geometries, and traffics. In this study, in order to solve the problems mentioned in the above, models were developed considering the characteristics of roadway alignments and traffic characteristics. The developed models can be used to estimate the accident rates on new or improved roads, In this study, only urban highways were included as a beginning stage. First of all. factors influencing accident rates were selected. Those factors such as traffic volumes. number of signalized intersections, the number of connecting roads, number of pedestrian traffic signals, existence of median barrier, and the number of road lane are also selected based upon the obtainability at the planning stage of roads. The relationship between the selected factors and accident rates shows strong correlation statistically. In this study, roads were classified into 4 groups based on number of lanes, level of roads and the existence of median barriers. The regression analysis had been performed for each group with actual data associated with traffic, roads. and accidents. The developed regression models were verified with another data set. In this study, in order to develop the proposed models, only data on a limited area were used. In order to represent whole area of the country with the developed models. the models should be re-analyzed with vast data.

Factors Influencing Nursing Practices of Physical Restraint Use among Nurses working in Long-term Care Hospitals (요양병원 간호사의 신체적 억제대 사용과 관련된 간호실무에 영향을 미치는 요인)

  • Ha, Sun-Mi
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.3
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    • pp.526-534
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    • 2019
  • This study was undertaken to identify knowledge, attitude, perception and nursing practice toward use of physical restraints, among nurses in long-term care hospitals. We further explored the impact of factors associated with nursing practice toward use of physical restraints. This was a cross-sectional descriptive study in which self-administered questionnaires were collected from 128 nurses working at 11 long-term care hospitals. Descriptive statistics, including t-test, one-way ANOVA, Welch's test, Pearson correlation coefficients and multiple regression, were applied to analyze the data collected. Our results reveal that the participants possess moderate levels of knowledge, attitude, perception and nursing practice toward use of physical restraints. Significant positive correlations were observed between nursing practice and knowledge. Multiple regression analysis showed that the factors significantly related to nursing practice and use of physical restraint were knowledge (${\beta}=0.27$, p=0.002) and attitude (${\beta}=-0.17$, p=0.044), having a total explained variance of 9.0%. The findings from this study suggest that knowledge is the strongest predictor on nursing practice toward use of physical restraints. Thus, we propose that developing and applying evidence-based educational intervention programs to reduce the use of physical restraints in long-term care hospitals are required.

A Study on the Factors Affecting Continuous Use of AI Speaker Using SNA (SNA를 이용한 AI 스피커 지속적 사용에 영향을 미치는 요인 분석 연구: 아마존 에코 리뷰 중심으로)

  • Kim, Young Bum;Cha, Kyung Jin
    • The Journal of Society for e-Business Studies
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    • v.26 no.4
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    • pp.95-118
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    • 2021
  • As the AI speaker business has risen significantly in recent years, the potential for numerous uses of AI speakers has gotten a lot of attention. Consumers have created an environment in which they can express and share their experiences with products through various channels, resulting in a large number of reviews that leave consumers with a variety of candid opinions about their experiences, which can be said to be very useful in analyzing consumers' thoughts. Using this review data, this study aimed to examine the factors driving the continued use of AI speakers. Above all, it was determined whether the seven characteristics associated with the intention to adopt AI identified in prior studies appear in consumer reviews. Based on customer review data on Amazon.com, text mining and social network analysis were utilized to examine Amazon eco-products. CONCOR analysis was used to classify words with similar connectivity locations, and Connection centrality analysis was used to classify the factors influencing the continuous use of AI speakers, focusing on the connectivity between words derived by classifying review data into positive and negative reviews. Consumers regarded personality and closeness as the most essential characteristics impacting the continued usage of AI speakers as a result of the favorable review survey. These two parameters had a strong correlation with other variables, and connectedness, in addition to the components established from prior studies, was a significant factor. Furthermore, additional negative review research revealed that recognition failures and compatibility are important problems that deter consumers from utilizing AI speakers. This study will give specific solutions for consumers to continue to utilize Amazon eco products based on the findings of the research.

Perception of military officers towards the military adaptation of adults who stutter and the associated factors (말더듬 성인의 군대 적응 정도에 대한 군지휘관의 인식 양상 및 관련 요인 분석)

  • Hye-rin Park;Jin Park
    • Phonetics and Speech Sciences
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    • v.15 no.1
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    • pp.55-64
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    • 2023
  • This study investigated the factors influencing the perceptions that military officers can harbor regarding persons who stutter in terms of how well they can adapt to the army. In total, 89 participants were randomly assigned to each of the three different conditions ("fluent speech"=23, "mildly stuttered speech"=34, and "severely stuttered speech"=32). Subsequently, the participants were asked to listen and rate each sample in terms of "the speaker's communicative functioning (i.e., speech fluency, intelligibility, naturalness, speech rate), personal traits (i.e., likeability, anxiety level, intellectual level, and sociability), and the perceived degree of the adaptability to the army." The results showed that significant differences were found between "fluent speech" and "severely stuttered speech" in the perceived communicative functionings and the perceived adaptability to the army. Moreover, there were significant differences in the same variables between "mildly stuttered speech" and "severely stuttered speech." However, there were no significant differences between "mildly stuttered speech" and "fluent speech." Following the conducting of the Pearson correlation test, strong correlations were also found between the perceived communicative functionings, in particular "speech fluency," and the perceived adaptability to the army. Those results can be employed to argue that the communicative functionings can serve as factors which influence the perceptions of persons who stutter in terms of how well they can adapt to the army. Further discussion has taken place regarding the relationship between the perceived communicative functionings and the perceived adaptability to the army.

Factors Influencing Quality of Life in Elderly Diabetic Patients of Korea: Analysis from the Korea National Health and Nutrition Examination Survey in 2008 (한국노인 당뇨환자의 삶의 질 영향요인)

  • Shin, Jee-Won;Park, Yong-Kyung;Suh, Soon-Rim;Kim, Ji-Eun
    • 한국노년학
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    • v.31 no.3
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    • pp.479-487
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    • 2011
  • This study was a descriptive study to investigate factors affecting quality of life in the Korean elders with diabetes mellitus. A secondary data analysis was conducted using the data of "The Fourth Korea National Health and Nutrition Examination Survey, 2008." The survey included 9774 adults aged over 64 years with diabetes mellitus and 226 samples were used for this study. Data analysis was conducted using SPSS 12.0 program and descriptive statistics, Pearson's correlations, and multiple regression analyses were performed. Correlation analysis showed that quality of life was associated with the amount of alcohol intake, the level of stress awareness, walking time, and suicidal thoughts. The amount of alcohol intake, the level of stress awareness, walking time, and suicidal thoughts accounted for 34.5% of quality of life. These findings suggest that nursing researchers need to consider age, suicidal thoughts, and drinking as important factors affecting quality of life of Korean elders with diabetes mellitus and nursing intervention focusing on the issues needs to be developed.

The Effects of Maternal Adverse Childhood Experience Risk Factors on Children's Emotional and Physical Abuse and Neglect and Parenting Stress (어머니의 아동기 부정적 경험 위험군이 자녀의 정서적·신체적 학대 및 방임과 양육스트레스에 미치는 영향)

  • Cho, Eunjeong;Park, Inhee
    • The Journal of Korean Academy of Sensory Integration
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    • v.21 no.3
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    • pp.13-26
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    • 2023
  • Objective : The purpose of this study is to examine the impact of maternal risk factors for adverse childhood experiences on children's emotional and physical abuse and neglect as well as parenting stress. Methods : This is a secondary data analysis study utilizing raw data from the 2017 National Survey of Child and Family Life Experiences. A total of 1,937 mothers with at least one adverse childhood experience were categorized into low-risk (1-3), moderate-risk (4-6), and high-risk (7 or more) groups to examine the differences in children's emotional and physical abuse and neglect and parenting stress and identify the influencing factors through regression analysis. Results : Maternal adverse childhood experiences were 50.4% in the low-risk group, 39.8% in the medium-risk group, and 9.7% in the high-risk group. Child emotional abuse was 45.0%, child physical abuse was 13.2%, child neglect was 3.5%, and parenting stress was 2.13 (±0.61) on average. Adverse childhood experiences were significantly more likely to be associated with emotional and physical abuse, neglect, and parenting stress in the medium- and high-risk groups than in the low-risk group. The regression analysis showed that the model explained 35% of child emotional abuse, 25% of child physical abuse, 19% of child neglect, and 16% of parenting stress. Conclusion : The higher the risk of adverse childhood experiences of parents, the more their children experience emotional abuse, physical abuse, child neglect, and parenting stress.

A Study for Factors Influencing the Usage Increase and Decrease of Mobile Data Service: Based on The Two Factor Theory (모바일 데이터 서비스 사용량 증감에 영향을 미치는 요인들에 관한 연구: 이요인 이론(Two Factor Theory)을 바탕으로)

  • Lee, Sang-Hoon;Kim, Il-Kyung;Lee, Ho-Geun;Park, Hyun-Jee
    • Asia pacific journal of information systems
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    • v.17 no.2
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    • pp.97-122
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    • 2007
  • Conventional networking and telecommunications infrastructure characterized by wires, fixed location, and inflexibility is giving way to mobile technologies. Numerous research reports point to the ultimate domination of wireless communication. With the increasing prevalence of advanced cell-phones, various mobile data services (hereafter MDS) are gaining popularity. Although cellular networks were originally introduced for voice communications, statistics indicate that data services are replacing the matured voice service as the growth engine for telecom service providers. For example, SK Telecom, the Korea's largest mobile service provider, reported that 25.6% of revenue and 28.5% of profit came from MDS in 2006 and the share is growing. Statistics also indicate that, in 2006, the average revenue per user (ARPU) for voice didn't change but MDS grew seven percents from the previous year, further highlighting its growth potential. MDS is defined "as an assortment of digital data services that can be accessed using a mobile device over a wide geographic area." A variety of MDS have been deployed, with a few reaching the status of killer applications. Many of them need to access the Internet through the cellular-phone infrastructure. In the past, when the cellular network didn't have acceptable bandwidth for data services, SMS (short messaging service) dominated MDS. Now, Internet-ready, next-generation cell-phones are driving rich digital data services into the fabric of everyday life, These include news on various topics, Internet search, mapping and location-based information, mobile banking and gaming, downloading (i.e., screen savers), multimedia streaming, and various communication services (i.e., email, short messaging, messenger, and chaffing). The huge economic stake MDS has on its stakeholders warrants focused research to understand associated dynamics behind its adoption. Lyytinen and Yoo(2002) pointed out the limitation of traditional adoption models in explaining the rapid diffusion of innovations such as P2P or mobile services. Also, despite the increasing popularity of MDS, unexpected drop in its usage is observed among some people. Intrigued by these observations, an exploratory study was conducted to examine decision factors of MDS usage. Data analysis revealed that the increase and decrease of MDS use was influenced by different forces. The findings of the exploratory study triggered our confirmatory research effort to validate the uni-directionality of studied factors in affecting MDS usage. This differs from extant studies of IS/IT adoption that are largely grounded on the assumption of bi-directionality of explanatory variables in determining the level of dependent variables (i.e., user satisfaction, service usage). The research goal is, therefore, to examine if increase and decrease in the usage of MDS are explained by two separate groups of variables pertaining to information quality and system quality. For this, we investigate following research questions: (1) Does the information quality of MDS increase service usage?; (2) Does the system quality of MDS decrease service usage?; and (3) Does user motivation for subscribing MDS moderate the effect information and system quality have on service usage? The research questions and subsequent analysis are grounded on the two factor theory pioneered by Hertzberg et al(1959). To answer the research questions, in the first, an exploratory study based on 378 survey responses was conducted to learn about important decision factors of MDS usage. It revealed discrepancy between the influencing forces of usage increase and those of usage decrease. Based on the findings from the exploratory study and the two-factor theory, we postulated information quality as the motivator and system quality as the de-motivator (or hygiene) of MDS. Then, a confirmative study was undertaken on their respective role in encouraging and discouraging the usage of mobile data service.