Background Postoperative pain is one of the most common concerns of patients undergoing hair transplantation surgery. Because most patients are satisfied with the cosmetic improvement after transplantation, amelioration of postoperative pain would help to increase patient accessibility to hair restorative surgery and greatly impact patient satisfaction with the final cosmetic results. This study was performed to investigate postoperative pain after hair transplantation. Methods In total, 241 patients (202 who underwent follicular unit transplantation [FUT] and 39 who underwent follicular unit extraction [FUE]) were eligible for the study. Postoperative pain was evaluated on postoperative days 1, 2, 3, 4, 5, and 7 using the Wong-Baker Faces Pain Scale. The patients' medical records were retrospectively reviewed for information on the harvesting method, number of transplanted grafts, size of donor design, and laxity, elasticity, and glidability of the scalp in relation to postoperative pain. Results Postoperative pain after hair transplantation, assessed with the Wong-Baker Faces Pain Scale, seemed to provide very subjective results. None of the variables were correlated with postoperative pain in the FUT group. Such pain, however, tended to disappear by postoperative day 3. Patients in the FUE group experienced significantly less severe pain than those in the FUT group. Conclusions Postoperative pain was significantly less severe in patients whose donor hair was harvested by the FUE than FUT method. Postoperative pain had almost disappeared by postoperative day 3 in the FUT group, whereas only minimal pain was present even on postoperative day 1 in the FUE group.
Kim, Hae-Ok;Lee, Eun-Joo;Sung, Min;Kim, Min-Kyeong
Health Communication
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v.13
no.2
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pp.185-193
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2018
Background: Nursing college students are exposed to information about diseases or drugs, and are likely to have a distorted perception of drug knowledge or behavior. The study aimed to identify knowledge and attitude about drugs and current status of self-medication among nursing students. Methods: The subjects were 172 nursing students from a university in Busan. Data were collected with structured questionnaires and analyzed using descriptive analysis, t-test, and one-way ANOVA using SPSS 23.0. Results: Nursing students had a high level of knowledge about drugs, but attitudes toward drugs were relatively low. 83.7% of patients had experience of self-medication. The methods to acquire information for self-administration were 29.9% by smart phone and 27.1% by internet. The use of nonsteroidal anti-inflammatory drugs (NSAIDs) among self-medication drugs was the highest. The most common reason for self-medication was 'I thought it to be a mild disease', and the pharmacists were the most affected by choice of self-medication. The knowledge about drugs was statistically significant according to grade, school life satisfaction and subjective health status. The attitudes about medication were statistically significant according to grade and self-medication experience. Conclusion: Nursing college students need drug safety education to improve awareness and practice of correct drug use.
Purpose: The purpose of this study is to identify personal factors, social factors, and environmental factors related to physical activity in older adults in urban and non-urban areas. Methods: We used source data from the 2017 Community Health Survey. The subjects of this study included some older adults aged 65 and over, and analyzed the data of 23,043 older adults living in the urban and 34,063 older adults living in the non-urban area. Results: The common factors influencing physical activity in older adults by region include current smoking and drinking, BMI, sleep duration, and subjective health status, help with neighbors, frequency of meeting with neighbors and friends, participation in social and leisure activities, and falls experience (p<.001). However, the living environment, public transport satisfaction, and medical service use significantly associated with physical activity for only older adults living in the urban area (p<.001). Conclusion: In order to improve physical activity in older adults in the community, it is necessary to consider not only the improvement of individual factors that practice health behaviors but also health promotion strategies that take into account social and environmental factors because there are environmental differences among regions.
Journal of the Korea Fashion and Costume Design Association
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v.23
no.2
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pp.43-52
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2021
This case study developed and operated "Fashion & Film" as a fashion-related liberal arts course. The class was designed to include fashion styles exhibitted in films, fashion-related PPL, fashion design through film, fashion images of movie characters, considering gender & color images expressed in movie costumes, and the history of western costumes and asian folk costumes in films. The class was counducted through various teaching methods, such as lectures, student's presentation of movie plots, and team discussions, which created a student-led class. The team presentations at the end of the term were intended to enhance the understanding of fashion through movies. The results of subjective lecture evaluation of "Fashion & Film" showed the most satisfaction with the communication with professor. Students said that it was good to understand fashion through film. They expressed a burden with the team project; however, they were satisfied with the team project outcomes. Students said that PowerPoint was used very effectively. On the other hand, there was an prevelent opinion that the content of PowerPoint and workbook did not match. To address this inconvenience, a textbook called "Fashion in Film" was published and used in the first semester of 2020. The multiple-choice evaluation showed that students were generally satisfied with the "Fashion & Film" class.
KSII Transactions on Internet and Information Systems (TIIS)
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v.15
no.5
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pp.1798-1813
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2021
This paper proposes a positive experience design approach for Internet of Things (IoT) intelligent products to improve users' subjective well-being in the fields of artificial intelligence and big data. First, the authors selected six target users and taking the Xiaomi IoT intelligent products for the research objects and conducted a thorough observation on how the target users used IoT intelligent products in their own homes over two weeks via a home-visiting interview, group diary, and focus group. Second, they constructed an individual activities table for the participants' IoT intelligent product experience using a hierarchical task analysis (HTA). Third, two researchers sorted out the sub-tasks of happiness in the HTA table. Finally, the authors found the positive experience design approach of IoT intelligent products. The positive experience design approach of IoT intelligent products is proposed from focusing on the personal pleasure experience to individual life meaningful design and group social relationship design, including individual pleasure experience, personal goal realization, group needs satisfaction and the harmony of group relations. The paper uses the two design examples of an interactive kettle and a harmonious chair to further discuss the feasibility of the design approach. In the era of big data, it is helpful for designers to use this design approach to improve the users' sense of sustainable pleasure, achievement perception of their future goal realization, and the well-being of the group's social relationships.
The Journal of Asian Finance, Economics and Business
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v.9
no.5
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pp.431-441
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2022
Many new challenges in different sectors have emerged due to societal growth, and researchers are needed to help solve them; and Google Scholar is a tool to assist researchers in doing so. The goal of this study is to figure out what characteristics influence how effective the Google Scholar tool is for Vietnamese university students. The study focuses on analyzing and explaining the interplay between the independent variables Perceived of Google Scholar, Perceived ease of use, Comprehensiveness and subjective norm, Perceived Satisfaction for the dependent variable Perception of usefulness. The study was carried out using quantitative and qualitative methods with 280 data points collected online through the survey link. The methods used to test the scale such as Cronbach alpha, CFA, SEM, One sample T-test, Independent Sample T-test, and One-way Anova are used to find the correlation between factors such as gender, Age, and Majors that affect the students' perception of the usefulness of google scholar. The results show that all the factors suggested in the model have a significant impact on the perceived usefulness of Google scholar. Furthermore, research shows that Google Scholar is an important academic search engine for Vietnamese students.
Objective: The reason why it is important to look at the benefits of exercise-music experience perceived by the elderly is that the satisfaction of life in old age is a meaningful reflection of the subjective perception of the life of the elderly. This is because it must be understood as the center. Design: A qualitative study. Methods: Participants are senior citizens attending senior citizens' college located in Eumseong city. Those who have taken an exercise-music song program for at least one semester served as the participants. Individual interviews were conducted by selecting 10 people through purposeful sampling. The collected data were analyzed by applying Colaizzi's method among phenomenological methods. The exercise-music program was conducted for 12 weeks, for a total of 50 minutes for each time (10 minutes for introduction, 35 minutes for music, 5 minutes for finishing). Results: As a result of the study, the experience of the exercise-music program was derived into 6 categories and 13 subjects. These 6 main categories are 'Changes from the developmental crisis', 'Freedom from the confines of others', 'Positive emotions found through songs', 'Feeling of peer and fellowship relationships', 'Changes in self-awareness', It appeared as a 'Change in the way of life'. Conclusions: In conclusion, the experience of the exercise-music program brought about a positive changes in life of doing one's best by improving confidence and confirming presence. Therefore, this study suggests activation of senior college programs to find a sense of presence for each level by using exercise-music programs with good accessibility.
The purpose of this study was to examine the self-perceived fatigue among 262 dental hygiene students, who have recently experienced clinical practice. In this study, a structured self-reported questionnaire was used to assess and analyze the severity of fatigue among the population. This study was performed from January to September in 2013 to effectively encompass clinical practice. The results are as follows: The self-perceived fatigue of the subjects was significantly higher in a subjective unhealthy group than a subjective healthy group (p=0.000), in a group that was unsatisfied with their program than a group that was satisfied with it (p=0.000), in a group that had dissatisfaction in clinical practice than a group that had satisfaction with it (p=0.000), in a group that had over five weekly of clinical practice than a group that didn't (p=0.000), in a group that had more than 100 patients a day than a group that didn't (p=0.000), in a group that had conflicts between fellow staff than those who didn't (p=0.000), in a group that did not exercise regularly than a group that did (p=0.016). The result of using multiple regression analysis revealed that the variable factors affecting the degree of the self-perceived fatigue were; subjective health status, satisfaction with a clinical practice, the length of clinical practice, the number of patients, and staff conflicts. These variable factors have the explanatory power of 44.5%. In conclusion, to decrease fatigue and allow students in clinical practice to perform effectively, clinical practice educators need to actively participate as a community and develop programs that will decrease the fatigue of students. In addition, in-depth research is needed on the effects of outside factors and variables affecting fatigue.
Due to the wide spread of customers' frequent access of non face-to-face services, there have been many attempts to improve customer satisfaction using huge amounts of data accumulated throughnon face-to-face channels. Usually, a call center is regarded to be one of the most representative non-faced channels. Therefore, it is important that a call center has enough agents to offer high level customer satisfaction. However, managing too many agents would increase the operational costs of a call center by increasing labor costs. Therefore, predicting and calculating the appropriate size of human resources of a call center is one of the most critical success factors of call center management. For this reason, most call centers are currently establishing a department of WFM(Work Force Management) to estimate the appropriate number of agents and to direct much effort to predict the volume of inbound calls. In real world applications, inbound call prediction is usually performed based on the intuition and experience of a domain expert. In other words, a domain expert usually predicts the volume of calls by calculating the average call of some periods and adjusting the average according tohis/her subjective estimation. However, this kind of approach has radical limitations in that the result of prediction might be strongly affected by the expert's personal experience and competence. It is often the case that a domain expert may predict inbound calls quite differently from anotherif the two experts have mutually different opinions on selecting influential variables and priorities among the variables. Moreover, it is almost impossible to logically clarify the process of expert's subjective prediction. Currently, to overcome the limitations of subjective call prediction, most call centers are adopting a WFMS(Workforce Management System) package in which expert's best practices are systemized. With WFMS, a user can predict the volume of calls by calculating the average call of each day of the week, excluding some eventful days. However, WFMS costs too much capital during the early stage of system establishment. Moreover, it is hard to reflect new information ontothe system when some factors affecting the amount of calls have been changed. In this paper, we attempt to devise a new model for predicting inbound calls that is not only based on theoretical background but also easily applicable to real world applications. Our model was mainly developed by the interactive decision tree technique, one of the most popular techniques in data mining. Therefore, we expect that our model can predict inbound calls automatically based on historical data, and it can utilize expert's domain knowledge during the process of tree construction. To analyze the accuracy of our model, we performed intensive experiments on a real case of one of the largest car insurance companies in Korea. In the case study, the prediction accuracy of the devised two models and traditional WFMS are analyzed with respect to the various error rates allowable. The experiments reveal that our data mining-based two models outperform WFMS in terms of predicting the amount of accident calls and fault calls in most experimental situations examined.
This study developed a measure to measure wellness-seeking behavior in important areas of life for general adults in Korea and verified its validity. For the development of the wellness scale, 31 factors derived through literature review, expert interviews, in-depth interviews, open questionnaires 1 and 2, and 182 questions were selected as the final 10 factors and 99 questions. Through exploratory factor analysis of the results of the preliminary survey of 351 adults in Korea, 58 questions of 10 factors were derived, and some of the questions reflecting important concepts in each factor were revised, and this survey was conducted with 63 questions of 10 factors. In this survey conducted on 667 people, to verify the validity of the composition concept of this test, the entire sampling was divided into two groups, one group was subjected to exploratory factor analysis, and the other group was subjected to confirmatory factor analysis. As a result of exploratory factor analysis, 63 questions of 10 factors (work, community, family, others, economic power, self-esteem, leisure, physical health, spirituality, and self-growth) were finally derived, and confirmatory factor analysis using the structural equation model verified that the model fit criteria were met. Convergence validity was verified using the K-MHC-SF and Wellness Index for Workers to verify whether the derived wellness scale and its sub-factors actually measure wellness. As a result of analyzing the relationship between the variables and factors of the Subjective Happiness Scale and Life Scale to verify the validity related to the criteria, it was found to be a significant correlation. As a result of confirming the significance of each path through multiple regression analysis, the 'self-esteem' on the wellness scale was identified as the most important factor influencing subjective happiness and life satisfaction. Finally, discussions on this research process and results, academic significance and practical significance, limitations, and future research directions were presented.
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