In the teaching of Chinese characters, making full use of the phonetic function of phonetic symbols can help learners improve their learning efficiency. The research on the characteristics of phonetic symbols and the rules of their construction is the premise of teaching Chinese characters with phonetic symbols. The phonetic symbols that can accurately prompt the pronunciation of the whole word and the homophone characters that they constitute provide the applicable materials for the teaching of Chinese characters. The split method simply and intuitively reflects the internal relationship among shape, sound and meaning in pictophonetic characters. "The analogy method of homophonic character group" and "the converse method of homophonic character group" are the combination of the function of the sound prompt and the characteristics of the analogy and induction of homophonic character, which can not only help students save the time of memorizing the sound, but also effectively increase the amount of literacy. The quantitative analysis of phonetic symbols and homophone symbols is of great significance to the classification of Chinese characters and the improvement of textbook editing.
Journal of Information Technology Applications and Management
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v.30
no.3
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pp.15-35
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2023
Considerable agreement exists about the importance of promoting entrepreneurship in both developed and developing countries. In less developed countries, governments see entrepreneurship as a way to stimulate economic development and tackle serious economic and social challenges. So how can countries encourage young people to become entrepreneurs? Research confirms that intentions play an important role in the decision to start a new firm and many factors influence that intentions. The purpose of the study was to investigate the antecedents to entrepreneurship behavior with particular attention to moderating role of social support and entrepreneur self-efficacy. The study covered 116 business students of undergraduate and post graduate level studying under different universities in Kathmandu, Nepal. The questionnaire for data collection was distributed in college groups via WhatsApp and viber with the support and permission from the college administration. The study design used was correlational with a sampling procedure of convenience. The study only showed the impact of attitude to entrepreneurship behavior as well as moderating effect of social support was also observed.
The aim of this study was to identify the factors related to clinical practice stress in nursing college students. The participants comprised 160 students in a nursing college. Data collection was conducted from December 1, 2019 to December 15, 2019. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and a multiple regression analysis. The average score for clinical practice stress was 3.19 out of a maximum of 5. clinical practice stress had a statistically significant relationship with self-esteem(r=.22, p=.005), nursing professionalism(r=-.26, p=.001) and cognitive emotion control strategy(r=.38, p<.001). The factors affecting clinical practice stress were maladaptive cognitive emotion control strategy(β=.46, p<.001), nursing professionalism(β=-.20, <.001), grade(β=.20, p=.002), motivation for nursing choice(β=-.15, p=.019); the explanatory power of the model was 35.5%. Therefore, in order to reduce the stress on clinical practice, it is necessary to develop a program that can lower the maladaptive cognitive emotion control strategy along with improving the nursing professionalism in stress situations.
This descriptive study was designed to measure the degrees of work stress and job satisfaction and use interpersonal conflict resolution strategy as an attempt to provide clinical nurses basic data to develop strategies releasing work stress and improving job satisfaction. These data were collected from 367 clinical nurses working in 9 hospitals nation-wide from May 1, to June 30, 1998. A structured questionaire was used for data collection. The questionnaire included Kim and Koo's work stress scale, Lee's interpersonal conflict resolution strategy scale and a Minesota satisfaction questionnaire. Data analysis was done by the use of the SAS computer program with descriptive statistics, t -test, ANOVA, Scheffe test, Pearson Correlation Coefficient and Cronbach - ${\alpha}$. The results were as follows 1. The mean score of work stress for the subjects was 4.34(SD=0.64). The highest scored reasons for work stress were 'inadequate com pensation' 4.93(SD=0.86), 'lack of professional knowledge and skill' 4.70(SD=0.92) and 'unsatisfactory relationship with superior authorities' 4.63(SD=0.97). The lowest scored reasons were 'unsatisfactory relationship with inferior staff' 3.72(SD=1.02), 'inadequate mechanical environment' 3.72(SD=1.11) and 'interpersonal problems' 3.85 (SD=1.06), The work stress in clinical nurses differed significantly depending on the hospital type (F=4.00, p=0.0082). 2. The clinical nurses used compromise(45.1%) as the best interpersonal conflict resolution strategy. The second was collaboration(32.8%), the third accomodation(14.2%), the forth avoidance(4.2%) and the fifth competition(3.6%). 3. The item score of job satisfaction of the subject was 3.00(SD=0.43), The job satisfaction in clinical nurses differed significantly depending on age(F=5.67, p=0.0000), marital status(t= -1.89, p=0.0511), academic career(F=5.84, 0.0001), official position (F=7.38, p=0.0001), and work career(F=6.33, p=0.0001). 4. The result of the analysis of relationship between work stress and job satisfaction was significant(r= -0.34, p=0.0000). In conclusion, it was found that work stress was very high in clinical nurses. They used interpersonal conflict resolution strategies to release their interpersonal problems and to increase their job satisfaction. Therefore, adequate stress management for clinical nurses will provide them with higher job satisfaction and hence lead to more qualitified nursing care.
This study examines the sustaining power of program effects of Reading Comprehensive Strategy Program, for underachieving gifted students in middle schools, which was developed and applied by Choi(2015). The study was a kind of follow up study of Choi(2015) as this study traced and collected all data from the same samples that Choi(2015) used since Choi(2015) stopped his program and data collection from 31 participants for 9 to 12 months. As the results, Among 11 subjects, who overcome underachievement through Choi(2015)'s Reading Comprehensive Strategy Program, 5 subjects could consistently maintained their performance level. However, 3 subjects could not maintain their performance and went back to the underachieving level, and another 3 showed instability as they went up and down around the border line. And among 20 subjects, who could not help the underachieving level through Choi(2015)'s program, 5 subjects could reach the achieving level. But 15 subjects still remained in their underachieving level. In conclusion, we may say that at least 16.1%(5 among 31) of underachieving gifed students could overcome their underachiving issue by Choi(2015)'s program even in the most pessimistic view, and 51.6%(16 amoung 3) in the most optimistic view. After all, at least about 50% cases could not be explained only by cognitive factors such as absence of reading comprehensive strategy. We suggest that we should handle the underachieving issues of gifted students by more comprehensive approaches.
The purpose of this study was to investigate secondary science teachers' PCK components and subcomponents that are specific to online and offline learning environment. Data collection consisted of survey, class observation, and individual interviews of twelve science teachers. This study used a theoretical framework of PCK for deductive data analysis and articulated codes and themes through the following inductive analysis. Data analysis revealed that each of PCK components showed different specificity to the online and offline learning environment. And subcomponents of each PCK component were different according to the specificity of the online and offline learning environment. Teaching orientation toward science had a specific orientation for the online learning environment, i.e., 'learning science concept' and 'lecture centered instruction.' Knowledge of the science curriculum had online-offline mixed learning environment specific knowledge, i.e., 'reorganization of curriculum' and online learning environment specific knowledge, i.e., 'development of learning goal' and 'science curricular materials.' Knowledge of science teaching strategies had online learning environment specific knowledge, i.e., 'topic-specific strategy', 'subject-specific strategy', and 'interaction strategy' and COVID-19 offline learning environment specific knowledge, i.e., 'topic-specific strategy' and 'interaction strategy'. Knowledge of student science understanding had online learning environment specific knowledge, i.e., 'student preconception', 'student learning difficulty', 'student motivation and interest', and 'student diversity' and COVID-19 offline learning environment specific knowledge, i.e., student learning difficulty'. Knowledge of science assessment had online-offline mixed learning environment specific knowledge and online learning environment specific knowledge, i.e., assessment contents and assessment methods for each.
This study is a study on the methodology of establishing an innovation strategy centering on the customer experience, which is essential in order to transform the existing collection and preservation-centered mutual aid company service into a visitor-centered service. To this end, we conducted literature research on environmental changes in the funeral industry from the perspective of service science and the significance and value of customer experiences within them, good customer experiences and bad customer experiences from the perspective of customer experience management. A study was conducted to present and prove a specific model. The customer experience-oriented innovation strategy of the funeral industry means to search for various alternatives that can reach the target state from the present state, focusing on the customer, and select the most appropriate transformation plan among them. As an effect of application, it was found that it is a source of differentiation by generating positive emotions to customers, and that customer experience data is highly helpful in making important decisions for the actual resource input of the parent company. This innovation model was presented, and its value was firstly proved by analyzing the difference from the existing evaluation method. Finally, as a result of analyzing the causal relationship through regression analysis using the customer experience measurement procedure, customer experience diagnosis/evaluation, customer experience innovation strategy, and cooperative company's performance as variables, the relationship proved to be significant.
This study examined methodologies for establishing a customer experience-focused innovation strategy, which is essential to transforming existing collection and preservation-oriented museum service into a visitor-oriented service. To this end, a review of studies examining good customer experience and bad customer experience was conducted, focusing on change in museum environments and customer experience from the service science and customer experience management perspectives. Research was conducted to present and prove. Implementing a customer experience-oriented innovation strategy in a museum requires exploring the various approaches that can be used to reach the target state from the present state, focusing on the customer, and selecting the most appropriate transformation plan. This study found that effective approaches are distinguished by the fact that they generate positive emotions in customers and use customer experience data to make important decisions regarding the establishment of practical resources in museums. This innovation model was developed and validated by analyzing how it differed from existing evaluation methods. Finally, a regression analysis using the customer experience measurement procedure, customer experience diagnosis/evaluation, customer experience innovation strategy, and museum performance as variables revealed a significant causal relationship.
The purpose of this study was to observe a case study of pop-up stores in an apparel company in Korea in order to evaluate different feel and to determine the purchase behavior of pop-up visitors of three major fashion brands. This research was conducted through secondary data collection and primary data collection. A survey was conducted among NIKE, KUHO, and PUMA pop-up store visitors who were 20 to 40 years old, via questionnaires. Data were collected on-line and off line at the pop-up store. Data were analyzed using SPSS program. Through data analysis, we learned that most of the study participants were captivated by the digital elements in the environment of the NIKE pop-up store. Puma, the second most favorably ranked, was favored for its interior design. Meanwhile, KUHO stimulated its customers with its limited edition fashion products at a good price. Several feels of visitors about the pop-up stores were significantly different among the 3 different brands. There was a significant difference in purchase criteria, such as brand recognition, size, and design among visitors of the three different brands. Visitors who preferred KUHO considered design of products more than NIKE-preferred visitors. In conclusion, the clothing pop-up stores have the possibility of satisfying consumers' desires. Each brand can achieve a good performance in promotion with a differentiated strategy.
The Transactions of The Korean Institute of Electrical Engineers
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v.61
no.2
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pp.312-320
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2012
In this study, we introduce a new design methodology of a granular-oriented self-organizing polynomial neural networks (GoSOPNNs) that is based on multi-layer perceptron with Context-based Polynomial Neurons (CPNs) or Polynomial Neurons (PNs). In contrast to the typical architectures encountered in polynomial neural networks (PNN), our main objective is to develop a methodological design strategy of GoSOPNNs as follows : (a) The 1st layer of the proposed network consists of Context-based Polynomial Neuron (CPN). In here, CPN is fully reflective of the structure encountered in numeric data which are granulated with the aid of Context-based Fuzzy C-Means (C-FCM) clustering method. The context-based clustering supporting the design of information granules is completed in the space of the input data while the build of the clusters is guided by a collection of some predefined fuzzy sets (so-called contexts) defined in the output space. (b) The proposed design procedure being applied at each layer of GoSOPNN leads to the selection of preferred nodes of the network (CPNs or PNs) whose local characteristics (such as the number of contexts, the number of clusters, a collection of the specific subset of input variables, and the order of the polynomial) can be easily adjusted. These options contribute to the flexibility as well as simplicity and compactness of the resulting architecture of the network. For the evaluation of performance of the proposed GoSOPNN network, we describe a detailed characteristic of the proposed model using a well-known learning machine data(Automobile Miles Per Gallon Data, Boston Housing Data, Medical Image System Data).
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