The research purpose outlined emphasizes the growing need for systematic and professional disaster education for nurses and nursing students, driven by the increasing occurrence of natural and large-scale social disasters. The study, a systematic literature review, analyzed the effects of educational interventions in disaster education targeting this demographic. The research method involved a literature search in major Korean databases using keywords related to disaster, education programs, and simulations. The findings highlighted that most programs utilized a combination of theoretical lectures, simulations, and debriefing methods, with intervention times ranging from less than 2 hours to between 40 and 56 hours. The primary outcomes measured were disaster nursing preparedness and performance abilities, with the programs showing positive effects on variables such as disaster nursing readiness, performance ability, attitude, knowledge, awareness, learning self-efficacy, practice satisfaction, and confidence in disaster nursing. The study suggests the importance of designing programs that offer participants realistic learning experiences through diverse intervention times and methods and emphasizes the need to verify the effectiveness of these programs.
Due to the increase in energy consumption, and eco-friendly policies, there is a need for efficient energy consumption in buildings. Anomaly power detection based on deep learning are being used. Because of the difficulty in collecting anomaly data, anomaly detection is performed using reconstruction error with a Recurrent Neural Network(RNN) based autoencoder. However, there are some limitations such as the long time required to fully learn temporal features and its sensitivity to noise in the train data. To overcome these limitations, this paper proposes the TCN-USAD, combined with Temporal Convolution Network(TCN) and UnSupervised Anomaly Detection for multivariate data(USAD). The proposed model using TCN-based autoencoder and the USAD structure, which uses two decoders and adversarial training, to quickly learn temporal features and enable robust anomaly detection. To validate the performance of TCN-USAD, comparative experiments were performed using two building energy datasets. The results showed that the TCN-based autoencoder can perform faster and better reconstruction than RNN-based autoencoder. Furthermore, TCN-USAD achieved 20% improved F1-Score over other anomaly detection models, demonstrating excellent anomaly detection performance.
'Old man' or 'old age' was not the parts of academic discipline in the Joseon era but Yeoheon put it in the philosophical 'problematization' of the learning of the Confucianism. He was argued that the old man or old age is not merely biological decline but it has the goal to achieve. The completion of self is the meaning and end of the life throughout the subjective realization and procedure of attaining the goal step by step. Well-aged old man is affirming the getting old and making the positive changing of old life time in his one sake. This essay is showing the Yeoheon's thought of old aging as the self-realizing well-ageing. Next, it is argued that the predicament of old age or old man is not just social welfare or biological aspects but it is serious philosophical problems. If it was just social or biological aspects then it is just a social phenomenon to approach the view of scientists. However, this is not only life and death and flux of time and relativities but also it is problematizing the self-identification subjectivities. Obviously, it is the significant that the old and or old age is fundamentally philosophical subject rather than social or biological materials. In the third chapter, we are dealing with the views of the life and death of Yeoheon. He was insisted that quite interesting opinion that is the all the lives in the universe include himself is 'a wayfarer'. It looks like a time traveler in the universe; we are just one who stays in a body for awhile. When we follow him, we are living in this universe in a time (disposable) but the same theorem is applying to the whole universe as well myriad creatures. Therefore, man has a job to do as an entity of the universe. Yeoheon was called it is the business as a job and we have to do the Dao till you end. The fourth, Yeoheon was suggested that the old man has his work and business. There are two kind of works for an old man, the former is self control as an old age that is call the old man's job and the latter is staying with the Dao that is called the old man's business. According to Yeoheon, man has charged to realize the law of the universe that means we are the moral entity; therefore we are business to complete ourselves. Old age is decline of physical activities rather than vigorous, therefore, we have to follow our body and self-affirmation of declination is the Dao. The final, Yeoheon was advised that the old man better saved in the current of the Dao, because the physical function is declining but the shining Dao is within the mind in the body. It is motivation of the self-dignity of old man and one who recognizes the work to do even in the old body that he will be the significant among all the society not a lonely old man anymore. Old aging is biological twilight but the considerable real size expertise and self-affirmation is the Dao of old age. We are meditating nowadays in Yeoheon's philosophical context on old man or old aging. By him, the old age is man of dignity as long as he realizes in his Dao through the business and self-affirmation.
The Journal of Korean Academy of Sensory Integration
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v.21
no.2
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pp.45-57
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2023
Objective : The purpose of this study was to investigate the concurrent validity of the self- and proxy-report versions of the KIDSCREEN-10 quality of life questionnaire. Methods : A total of nine children and nine parents were selected to represent a cohort registered for a school-based wellness program. Two versions of the KIDSCREEN-10 questionnaire (self- and proxy reports) were administered to the children and their parents. The Rasch rating scale model was applied to determine the dimensionality and item difficulty of the two versions of the questionnaire. Moreover, the item-person matching map and Spearman's rho were compared to confirm the concurrent validity of the two versions. Results : All items, except four items (i.e., autonomy, home life, concentration/learning, and peers/social support), fit the Rasch rating scale model of the children's self-report version of the questionnaire. With regard to the parent's proxy-report version, two items misfit the model. While the items of the self- and proxy-report versions showed similar item difficulties, the parents had a tendency to be more severe in their ratings than the children. The correlation between the two versions was relatively low (Spearman's rho = .533, p > .05). The scatterplots between the two versions showed differences in the item difficulties of the physical and psychological well-being and self-perception items. Conclusion : These findings suggest that the three identified items should be taken into consideration when measuring children's health-related quality of life using the KIDSCREEN-10 questionnaire.
Journal of Korean Home Economics Education Association
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v.27
no.4
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pp.19-35
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2015
The purpose of this study was to develop and evaluate a teaching learning process plan for the practice of caring and sharing to improve character of highschool students through Home Economics subject. The teaching learning process plan consisting of 13-session lessons has been developed and implemented according to the ADDIE model for the unit of 'Happy Family Life and Culture led by Family'. The unit was divided into two themes: Theme I caring through sharing and Theme II caring through practice. Six practice elements of caring and sharing such as communication, gratitude, courage, love, empathy, and environment drawn from Theme I are applied to Theme II. Various activities and teaching materials as well as questionnaire were developed. The plan was applied to 8 classes, 287 freshmen of S highschool in Jeonju-si from March to May, 2014. Three factors were drawn from 35 character-related items: self-perception, perception of caring and sharing, and practice of caring and sharing. These factors were related to respondents' satisfaction with family relationships and school life. Two factors except self-perception improved through 13 lessons. Students evaluated that the whole caring and sharing practice lessons of Theme I and II gave them the chance to realize a actual practice in everyday life was important even with small efforts such as cooking for special family. Also students commented that the praising workbook was impressive. All 23 items of evaluation gained from over 3.5 to 4.2 on 5-point scale. It can be concluded that the teaching learning process plan for the practice of caring and sharing for the unit of 'Happy Family Life and Culture led by Family' would improve character of highschool students through the Home Economics subject.
Journal of Korean Home Economics Education Association
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v.26
no.3
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pp.35-52
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2014
This study analyzed the 12 different technology home economics textbooks I, II for middle school students and the content systems of the textbooks by 7 instructional strategies in Reigeluth's elaboration theory. The units analyzed were 'Clothing and self-expression' and 'Eco-friendly clothing life and recycling by reform'. The purpose of this study was to provide basic information for the development of textbooks and teaching materials by analyzing current textbooks. Researchers analyzed the textbooks individually using pre-developed analysis frame using Reigeluth's elaboration theory. The results of the study were as follows. The conceptual elaboration process was used in the unit of 'Clothing and self-expression' of all the textbooks used in this study, and procedural elaboration process was mostly used in the unit of 'Eco-friendly clothing life and recycling by reform'. The strategies of advance learning ability were presented mostly in the forms of 'Learning Objective', 'Thought Opening', 'Key terms' in either unit and sub unit. The strategies of summarizer were presented as 'Unit Summary', 'Cleanup' and 'Assessment'. The strategies of synthesizer were used in all the textbooks as the 'Exploration' to increase the students interest through the promotion of the learning content in a variety of activities and projects. The cognitive activator strategies were shown in all of the textbooks using mostly 'Figure,' and others such as 'Table,' 'Diagram', and 'Explanation of Terms'. The strategies of learner control were used to guide the supplement and deepen the learning by various forms. However the analogy strategies were hardly used in units of textbooks analyzed in this study. As a result, the technology home economics textbooks I, II for middle school students applied the Reigeluth's elaboration theory, except the analogy strategies. It is recommended to utilize th analogy strategies and various activities to enhance the students' understanding and participation.
Kim, Jeongha;Lee, Jipyeong;Jang, Seonghyun;Cho, Yoonho
Journal of Intelligence and Information Systems
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v.29
no.1
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pp.249-263
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2023
Collaborative Filtering, a representative recommendation system methodology, consists of two approaches: neighbor methods and latent factor models. Among these, the latent factor model using matrix factorization decomposes the user-item interaction matrix into two lower-dimensional rectangular matrices, predicting the item's rating through the product of these matrices. Due to the factor vectors inferred from rating patterns capturing user and item characteristics, this method is superior in scalability, accuracy, and flexibility compared to neighbor-based methods. However, it has a fundamental drawback: the need to reflect the diversity of preferences of different individuals for items with no ratings. This limitation leads to repetitive and inaccurate recommendations. The Adaptive Deep Latent Factor Model (ADLFM) was developed to address this issue. This model adaptively learns the preferences for each item by using the item description, which provides a detailed summary and explanation of the item. ADLFM takes in item description as input, calculates latent vectors of the user and item, and presents a method that can reflect personal diversity using an attention score. However, due to the requirement of a dataset that includes item descriptions, the domain that can apply ADLFM is limited, resulting in generalization limitations. This study proposes a Generalized Adaptive Deep Latent Factor Recommendation Model, G-ADLFRM, to improve the limitations of ADLFM. Firstly, we use item ID, commonly used in recommendation systems, as input instead of the item description. Additionally, we apply improved deep learning model structures such as Self-Attention, Multi-head Attention, and Multi-Conv1D. We conducted experiments on various datasets with input and model structure changes. The results showed that when only the input was changed, MAE increased slightly compared to ADLFM due to accompanying information loss, resulting in decreased recommendation performance. However, the average learning speed per epoch significantly improved as the amount of information to be processed decreased. When both the input and the model structure were changed, the best-performing Multi-Conv1d structure showed similar performance to ADLFM, sufficiently counteracting the information loss caused by the input change. We conclude that G-ADLFRM is a new, lightweight, and generalizable model that maintains the performance of the existing ADLFM while enabling fast learning and inference.
The purpose of this study was to 1) investigate the characteristics of burnout of Korean elementary school students and 2) develop and validate the Korean Academic Burnout Scale-Elementary School Students (KABS-ESS). Fifty-one behavioral descriptions of burnout extracted through a preliminary survey, focus group interview, and literature review were administered to a sample of 531 elementary students of the 4th to 6th grade in Gyeonggi Province. The results of an exploratory factor analysis indicated that the structure of the burnout of Korean elementary school students consists of seven factors (i.e., inefficacy, avoidance, cynicism, emotional exhaustion, physical exhaustion, antipathy and cognitive exhaustion), and this structure of final 28 items was confirmed by the confirmatory factor analysis. The KABS-ESS showed a correlation of .771 with a representative academic burnout scale, Maslach Burnout Inventory-Student Survey, and -.561 with the academic engagement scale, indicating that both convergent and discriminant validities were confirmed. Furthermore, all fit indices of the structural equation model of the Schaufeli and Bakker's job demands-resources in an academic setting were satisfactory, and the possibility of the validity generalization of the model was supported. The demand variables predicting academic burnout and engagement were academic overload and parental pressure, while self-resilience, self-regulated learning strategies, and parental and the teacher's support were identified as the resource variables. Lastly, the implications and future direction of the present study were discussed.
Seo, In-Soon;Oh, Su-Min;Choi, Dongwon;Park, Hee-Ok;Ma, Rye-Won
Journal of the Korea Academia-Industrial cooperation Society
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v.15
no.4
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pp.2276-2284
/
2014
The purpose of this study was to identify the effects of basic clinical practice program(BCPP) on academic motivation, critical thinking and clinical nursing competence in nursing students. Thirty-hour BCPP was consisted of the essential of fundamental nursing skills and prior education in nursing lab before first clinical practice. The participants were 228 nursing students and data was collected with self-administered questionnaire during Feb. 18 to Feb. 28, 2013. Study design was one group pre-post test. BCPP was not related with critical thinking. But there were significant differences subcategories of learning motivation like academic stress, test anxiety, depression and self efficacy, and in clinical nursing competence. The results suggest that BCPP is effective to enhance clinical competence for novice of nursing clinical practice.
Journal of the Korea Institute of Information and Communication Engineering
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v.16
no.1
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pp.48-58
/
2012
New digital predistortion technique is proposed for power amplifier linearization in multi-band transmission systems. We consider a system where muli-band signals are combined and amplified by a single power amplifier (PA). In this system, the PA output is distorted by the nonlinear cross-products between different band signals as well as their own nonlinear self-products. To compensate these nonlinear effects, we propose a multiple PD structure. Each PD removes the nonlinear cross-products and self-products to mitigate the spectral regrowth for the corresponding band. Since the PD parameters for different bands are linked together, it is difficult to find the PD parameters separately. Thus, we propose an iterative method for finding the PD parameters jointly. For demonstration of the proposed method, multi-band characteristics of PA are extracted from a commercial power amplifier. Computer simulation was executed based on the PA parameters. The simulation results show that the proposed method can effectively linearize the PA and remove spectral regrowth at each signal band.
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