This study is a descriptive research study to determine the relationship between middle-aged women's social support, resilience and quality of life, and to identify factors that affect quality of life. The participants were 162 middle-aged women in G City. Data was collected from May 10 to June 10, 2023. Data were analyzed through descriptive statistics, t-test, one-way ANOVA, Pearson's correlation coefficient, and multiple regression using SPSS 25.0 program. The social support was 3.36±0.38, resilience was 3.39±0.42, and quality of life was 3.18±0.50. Quality of life was positively correlated with social support(r=.502, p<.001), resilience(r=.530, p<.001). Factors that have a significant impact on quality of life include resilience(β=.422, p<.001), social support(β=.412, p<.001) and health status(β=.212, p=.001). The total explanatory power of these variables on quality of life was 39.2%. Therefore, it is necessary to develop effective programs and strategies to improve the quality of life of middle-aged women by improving their resilience, social support, and health status.
Jeonghyeon Moon;Yuri Choi;Eunja Choi;Jueun Yang;Sookuk Park
Journal of the Korean Association of Geographic Information Studies
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v.27
no.2
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pp.1-18
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2024
This study aimed to identify the optimal street tree planting method to improve the summer thermal environment in Seoul, Republic of Korea. The effects of road direction and street tree planting patterns on urban thermal environments using ENVI-met simulations were analyzed. The 68 scenarios were analyzed based on four road directions and 17 planting patterns. The results showed that tree planting had a reducing air temperature, mean radiant temperature, human thermal sensation (PET and UTCI). The most effective planting pattern among all scenarios was low tree height (6m), wide crown width (9m), high leaf area index (3.0), and narrow planting interval (8m). The largest improvement in the thermal environment was the northern sidewalk of the east-west road. Since this study used computer simulations, the difference from real urban spaces should be considered, and further research is needed through field measurement and consideration of more variables.
This is a descriptive research study to confirm the mediating effect of empathy in the relationship between communication skills and interpersonal relationship of MZ generation nursing students. The subjects of this study were 129 nursing students born in 1981 to 2006, corresponding to the MZ generation, and the data collection period was from May 20 to July 30, 2023. The collected data were analyzed using the SPSS 25.0 program, and the mediating effect of empathy was tested by Baron and Kenny's three-step mediating effect verification procedure, and Sobel test was conducted to test the statistical significance of the mediating effect. As a result of the analysis, communication skills (β=.45, p<.001) and empathy (β=.18, p=.008) had a significant effect on interpersonal relationship. These variables were found to have 48.4% explanatory power for interpersonal relationship. Empathy had a partial mediating effect (z=2.39, p=.016) in the relationship between communication skills and interpersonal relationship. Based on the results of this study, it is necessary to understand the characteristics of the MZ generation familiar with the non-face-to-face culture that will be in charge of future nursing and to develop effective programs to improve their interpersonal relationship.
Nam, Hyeon-bin;Choi, Yo-seok;Kim, In-su;Kim, Gyung-jun;Park, Seong-su;Lee, Ja Hyun
Industry Promotion Research
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v.9
no.1
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pp.21-29
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2024
In the rapidly advancing information society, electronic devices, including smartphones and tablets, are increasingly digitized and equipped with high-performance features such as flexible displays. This study focused on optimizing the manufacturing process for Transparent Conductive Films (TCF) by using the cost-effective conductive polymer PEDOT and transparent substrate PET as alternatives to expensive materials in flexible display technology. The variables considered are production speed (m/min), coating maximum temperature (℃), and PEDOT supply speed (rpm), with surface resistivity (Ω/□) as the response parameter, using Response Surface Methodology (RSM). Optimization results indicate the ideal conditions for production: a speed of 22.16 m/min, coating temperature of 125.28℃, and PEDOT supply at 522.79 rpm. Statistical analysis validates the reliability of the results (F value: 18.37, P-value: < 0.0001, R2: 0.9430). Under optimal conditions, the predicted surface resistivity is 145.75 Ω/□, closely aligned with the experimental value of 142.97 Ω/□. Applying these findings to mass production processes is expected to enhance production yields and decrease defect rates compared to current practices. This research provides valuable insights for the advancement of flexible display manufacturing.
Objective: This study was conducted to provide basic data for the establishment of effective health policies for the unmet medical experience that may occur among the elderly depending on whether they live in a singleperson household or not. Methodology: This study used data from the 8th National Health and Nutrition Examination Survey (2019-2020) and excluded cases with missing values in variables for the total number of respondent participants of 15,469. Finally, 2,850 subjects aged 65 or older were selected for final analysis. This study examined the relationship between experiences of unmet medical needs, attempting to confirm the relationship between single-person households and unmet medical needs through subgroup analysis considering gender, age, and household income. Results: According to the results, in the case of single-person households, the odds ratio (OR) for unmet medical needs was significantly higher at 1.60 times (95% CI: 1.16-2.21). Upon conducting subgroup analyses for gender, age, and household income quintiles, the OR was significantly higher at 2.24 times (95% CI: 1.14-4.41) for males and 1.48 times (95% CI: 1.02-2.14) for females, statistically significant in both cases. For individuals aged 65-69, the OR was significantly higher at 1.90 times (95% CI: 1.04-3.47), but for those aged 70-74 and over 75, it was not statistically significant. In the case of households with 'low' income, the OR was higher at 1.62 times (95% CI: 1.16-2.26), and for 'middle' income, it was significantly higher at 3.21 times (95% CI: 1.08-9.51). Conclusion: This study confirmed that the experience of unmet medical care is high among men who make up single-person households and low-income seniors. Therefore, this study suggests that policies to expand medical services and support welfare for single-person households should be established to resolve these problems, showing that health policies that take into account individual and regional characteristics are needed to improve medical accessibility for single-person households.
Journal of the Korean Applied Science and Technology
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v.41
no.1
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pp.96-106
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2024
This study aimed to examine the effects of non-face-to-face sleep program combined with aroma necklace on quality of sleep, daytime sleepiness, depression, and stress in insomnia with college students. A nonequivalent control group pre-post test design was used. The experimental group(n=21) underwent non-face-to-face sleep program combined with aroma-necklace while the control group(n=21) received a sleep booklet. Sleep quality, daytime sleepiness, depression, and stress were measured to identify the effectiveness of the program. Data were analyzed using descriptive statistics, Fisher's exact test, χ2-test, and independent t-test with the SPSS 24.0 program. In the homogeneity test of the general characteristics and study outcome variables there were no significant differences between the two groups. Significant group differences were found in sleep quality (t=-5.87, p<.001), daytime sleepiness(t=-4.28, p<.001), and depression(t=-4.40, p<.001). No differences were found in the stress. Non-face-to-face sleep improvement program combined with an aroma-necklace was effective in improving insomnia in college students. Nurses can contribute to improving sleep and depression by applying this program to college students experienced insomnia living in various environments.
Ji Hye Kwon;Dong Il Gwon;Jong Woo Kim;Hee Ho Chu;Jin Hyoung Kim;Gi-Young Ko;Hyun-Ki Yoon;Kyu-Bo Sung
Korean Journal of Radiology
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v.21
no.6
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pp.695-706
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2020
Objective: To investigate the technical and clinical efficacy of the percutaneous insertion of a biliary metallic stent, and to identify the factors associated with biliary stent dysfunction in patients with malignant duodenobiliary obstruction. Materials and Methods: The medical records of 70 patients (39 men and 31 women; mean age, 63 years; range, 38-90 years) who were treated for malignant duodenobiliary obstruction at our institution between April 2007 and December 2018, were retrospectively reviewed. Variables found significant by univariate log-rank analysis (p < 0.2) were considered as suitable candidates for a multiple Cox's proportional hazard model. Results: The biliary stents were successfully placed in all 70 study patients. Biliary stent insertion with subsequent duodenal stent insertion was performed in 33 patients and duodenal stent insertion with subsequent biliary stent insertion was performed in the other 37 study subjects. The median patient survival and stent patency time were 107 days (95% confidence interval [CI], 78-135 days) and 270 days (95% CI, 95-444 days), respectively. Biliary stent dysfunction was observed in 24 (34.3%) cases. Multiple Cox's proportional hazard analysis revealed that the location of the distal biliary stent was the only independent factor affecting biliary stent patency (hazard ratio, 3.771; 95% CI, 1.157-12.283). The median biliary stent patency was significantly longer in patients in whom the distal end of the biliary stent was beyond the distal end of the duodenal stent (median, 327 days; 95% CI, 249-450 days), rather than within the duodenal stent (median, 170 days; 95% CI, 115-225 days). Conclusion: The percutaneous insertion of the biliary metallic stent appears to be a technically feasible, safe, and effective method of treating malignant duodenobiliary obstruction. In addition, a biliary stent system with a distal end located beyond the distal end of the duodenal stent will contribute towards longer stent patency in these patients.
The purpose of this study is to develop a rhythm-based music intervention protocol to enhance timing regulation in children with ADHD and investigate its feasibility. For this purpose, a three-phase study was conducted involving ADHD children and typically developing children. In the first phase, group-specific baseline measurements were taken for auditory attention (KAT), motor timing, and perceptual timing. In the second phase, a rhythm-based music intervention protocol incorporating key factors was developed. In the third phase, the developed protocol was applied to ADHD children to investigate the variables affecting timing regulation and to verify its effectiveness. Results from the first phase revealed significant differences in the timing values of children with ADHD, particularly in tasks requiring discrimination of sound duration and precision in rhythm patterns. Additionally, exploratory factor analysis of KAT results and motor/perceptual timing identified three clusters: attentional responsiveness, attentional synchronization, and attentional sophistication. In the second phase, a protocol consisting of tasks involving synchronization, attentional shifting, and rhythm production at various difficulty levels was developed and validated for expert validity. In the third phase, individual application of the protocol to children with predominantly inattentive and hyperactive-impulsive ADHD subtypes demonstrated changes in timing regulation tasks. This study provided basic data for using rhythm as an effective facilitation tool that leads from voluntary to involuntary attention in children with ADHD.
Most of the extant studies on communication effects have been devoted to the typical issue, "what types of communication activities are more effective for brand awareness or brand attitudes?" However, little research has addressed another question on communication decisions, "what makes communication activities less effective?" Our study focuses on factors negatively influenced on the efficiency of communication activities, especially of Advertising. Some studies have introduced concepts closely related to our topic such as consumer confusion, brand confusion, or belief confusion. Studies on product belief confusion have found some factors misleading consumers to misunderstand the physical features of products. Studies on brand confusion have uncovered factors making consumers confused on brand names. Studies on advertising confusion have tested the effects of ad models' employed by many other firms for different products on communication efficiency. We address a new concept, Ad noises, which are any factors interfering with consumers exposed to a particular advertisement in understanding messages provided by advertisements. The objective of this study is to understand the effects of ad noises caused by ad models on brand awareness and brand attitude. There are many different types of AD noises. Particularly, we study the effects of AD noises generated from ad model selection decision. Many companies want to employ celebrities as AD models while the number of celebrities who command a high degree of public and media attention are limited. Inevitably, several firms have been adopting the same celebrities as their AD models for different products. If the same AD model is adopted for TV commercials for different products, consumers exposed to those TV commercials are likely to fail to be aware of the target brand due to interference of TV commercials, for other products, employing the same AD model. This is an ad noise caused by employing ad models who have been exposed to consumers in other advertisements, which is the first type of ad noises studied in this research. Another type of AD noises is related to the decision of AD model replacement for the same product advertising. Firms sometimes launch another TV commercial for the same products. Some firms employ the same AD model for the new TV commercial for the same product and other firms employ new AD models for the new TV commercials for the same product. The typical problem with the replacement of AD models is the possibility of interfering with consumers in understanding messages of the TV commercial due to the dissimilarity of the old and new AD models. We studied the effects of these two types of ad noises, which are the typical factors influencing on the effect of communication: (1) ad noises caused by employing ad models who have been exposed to consumers in other advertisements and (2) ad noises caused by changing ad models with different images for same products. First, we measure the negative influence of AD noises on brand awareness and attitudes, in order to provide the importance of studying AD noises. Furthermore, our study unveiled the mediating conditions(variables) which can increase or decrease the effects of ad noises on brand awareness and attitudes. We study the effects of three mediating variables for ad noises caused by employing ad models who have been exposed to consumers in other advertisements: (1) the fit between product image and AD model image, (2) similarity between AD model images in multiple TV commercials employing the same AD model, and (3) similarity between products of which TV commercial employed the same AD model. We analyze the effects of another three mediating variables for ad noises caused by changing ad models with different images for same products: (1) the fit of old and new AD models for the same product, (2) similarity between AD model images in old and new TV commercials for the same product, and (3) concept similarity between old and new TV commercials for the same product. We summarized the empirical results from a field survey as follows. The employment of ad models who have been used in advertisements for other products has negative effects on both brand awareness and attitudes. our empirical study shows that it is possible to reduce the negative effects of ad models used for other products by choosing ad models whose images are relevant to the images of target products for the advertisement, by requiring ad models of images which are different from those of ad models in other advertisements, or by choosing ad models who have been shown in advertisements for other products which are not similar to the target product. The change of ad models for the same product advertisement can positively influence on brand awareness but positively on brand attitudes. Furthermore, the effects of ad model change can be weakened or strengthened depending on the relevancy of new ad models, the similarity of previous and current ad models, and the consistency of the previous and current ad messages.
As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.
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