• 제목/요약/키워드: Process variables

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Effect of women's parenting stress on parenting efficacy through mental health and hope: conditional indirect effect of employment status (여성의 양육 스트레스가 정신건강과 희망을 경유하여 양육 효능감에 미치는 영향: 취업 여부의 조건부 간접효과)

  • Eun Sun Kang;Chang Seek Lee
    • Industry Promotion Research
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    • 제9권2호
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    • pp.103-113
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    • 2024
  • This study aims to determine whether employment status moderates and mediates the effect of parenting stress on parenting efficacy through mental health and hope targeting women raising children and to find ways to improve parenting efficacy by utilizing mental health and hope. The survey was conducted nationwide, a purposive sampling method was used to select the survey subjects, and data were collected through a survey. The total number of subjects used in the final analysis was 300 women. Data were analyzed by applying frequency analysis, reliability analysis, correlation analysis, and moderated mediation effect analysis. The results of the study are as follows. First, as a result of correlation analysis, parenting stress showed a negative correlation with mental health, hope, employment status, and parenting efficacy. On the other hand, other variables except parenting stress showed positive correlations with each other. Second, employment status moderated and mediated the effect of parenting stress on parenting efficacy through mental health and hope. In other words, employment status played a buffering role in reducing the negative impact of parenting stress on parenting efficacy through mental health and hope. Based on these results, a plan to protect parenting efficacy was proposed.

Effect of Qualiy of friendship on smartphone overdependence among women high school students (여자 고등학생들의 대인관계의 질이 스마트 폰 과의존에 미치는 영향)

  • Byung-O Ahn
    • Journal of the Korean Applied Science and Technology
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    • 제40권6호
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    • pp.1488-1497
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    • 2023
  • Friendships play a very important role during high school. However, unstable friendship quality can induce negative problems such as psycho-emotional problems. This problem can be highlighted based on the characteristics of high school girls who consider the psycho-emotional aspects of friendships more than men do. This study was aimed to analyze the effect of level of quality of friendship on the level of smartphone overdependence of female high school students. Study subjects were 51 female high school students attending the W high school in J city. The assessment of quality of friendship was used by Korean ver. of Friendship Quality Questionnaire. The quality of friendship is 21 items, and the higher the score on a 5-point scale, the higher the quality of friendship. The assessment of smartphone overdependence was used by Smartphone Overdependence Scale. Smartphone overdependence has 10 questions, and a high score on a 4-point scale means a high level of smartphone overdependence. As the results, the negative effect (-) of the level of the quality of friendship on the level of smartphone overdependence. These results indicated that if the level of quality of friendship increase, the level of smrtphone overdependence decrease. Thus, in the process of educational and practical approach for the female high school student, these results should be considered and the approach to improve the quality of friendship should be needed. In follow-up studies, it is necessary to expand the range of subjects and compare and analyze them with various subject groups. In-depth analysis studies should be conducted considering various variables that can affect the relationship between smartphone overdependence and the quality of friend relationships.

A Service Life Prediction for Unsound Concrete Under Carbonation Through Probability of Durable Failure (탄산화에 노출된 콘크리트 취약부의 확률론적 내구수명 평가)

  • Kwon, Seung Jun;Park, Sang Soon;Nam, Sang Hyeok;Lho, Byeong Cheol
    • Journal of the Korea institute for structural maintenance and inspection
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    • 제12권2호
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    • pp.49-58
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    • 2008
  • Generally, steel corrosion occurs in concrete structures due to carbonation in down-town area and underground site and it propagates to degradation of structural performance. In general diagnosis and inspection, only carbonation depth in sound concrete is evaluated but unsound concrete such as joint and cracked area may occur easily in a concrete member due to construction process. In this study, field survey of carbonation for RC columns in down-town area is performed and carbonation depth in joint and cracked concrete including sound area is measured. Probability of durable failure with time is calculated through probability variables such as concrete cover depth and carbonation depth which are obtained from field survey. In addition, service life of the structures is predicted based on the intended probability of durable failure in domestic concrete specification. It is evaluated that in a RC column, various service life is predicted due to local condition and it is rapidly decreased with insufficient cover depth and growth of crack width. It is also evaluated that obtaining cover depth and quality of concrete is very important because the probability of durable failure is closely related with C.O.V. of cover depth.

Effects of Parental Perception of Home-Based Fine Motor Experiences on Young Children's Frequency of Fine Motor Activities: Mediating Effect of Home Environment (가정 소근육운동 경험에 대한 부모인식이 유아의 소근육운동 빈도에 미치는 영향: 가정환경의 매개효과)

  • Park, Jieun;Choi, Naya
    • Journal of Korean Home Economics Education Association
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    • 제36권2호
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    • pp.51-63
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    • 2024
  • The purpose of this study was to examine the relationships among parental perception of home-based fine motor experiences in early childhood, home environment, and frequency of fine motor activities, and to investigate a mediating role of home environment in the process of parental perception influencing early childhood's frequency of fine motor activities. The data from 214 five-year-old children and their parents from six early childhood education centers in Gyeonggi province were collected and analyzed. The data were processed using IBM SPSS Statistics 23 and analyzed with descriptive statistics, independent samples t-tests, correlation analysis, multiple regression analysis, and bootstrapping analysis. The major findings were as follows: First, gender differences in parental perception, home environment, and frequency of fine motor activities existed in that values across all three variables were higher for girls than for boys. Second, parental perception, home environment and frequency of fine motor activities were positively correlated. Third, partial mediating effects of home environment on the relation between parental perception and the frequency of fine motor activities were found. These findings show an existence of gender differences in early childhood's fine motor activities. This research also affirms the significance of increasing the frequency of fine motor activities by enhancing parental perceptions for balanced motor development of boys and girls, and establishing a home environment conducive to fine motor activities at any time and in any location.

A Study on Dementia Prediction Models and Commercial Utilization Strategies Using Machine Learning Techniques: Based on Sleep and Activity Data from Wearable Devices (머신러닝 기법을 활용한 치매 예측 모델과 상업적 활용 전략: 웨어러블 기기의 수면 및 활동 데이터를 기반으로)

  • Youngeun Jo;Jongpil Yu;Joongan Kim
    • Information Systems Review
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    • 제26권2호
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    • pp.137-153
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    • 2024
  • This study aimed to propose early diagnosis and management of dementia, which is increasing in aging societies, and suggest commercial utilization strategies by leveraging digital healthcare technologies, particularly lifelog data collected from wearable devices. By introducing new approaches to dementia prevention and management, this study sought to contribute to the field of dementia prediction and prevention. The research utilized 12,184 pieces of lifelog information (sleep and activity data) and dementia diagnosis data collected from 174 individuals aged between 60 and 80, based on medical pathological diagnoses. During the research process, a multidimensional dataset including sleep and activity data was standardized, and various machine learning algorithms were analyzed, with the random forest model showing the highest ROC-AUC score, indicating superior performance. Furthermore, an ablation test was conducted to evaluate the impact of excluding variables related to sleep and activity on the model's predictive power, confirming that regular sleep and activity have a significant influence on dementia prevention. Lastly, by exploring the potential for commercial utilization strategies of the developed model, the study proposed new directions for the commercial spread of dementia prevention systems.

Development of Yóukè Mining System with Yóukè's Travel Demand and Insight Based on Web Search Traffic Information (웹검색 트래픽 정보를 활용한 유커 인바운드 여행 수요 예측 모형 및 유커마이닝 시스템 개발)

  • Choi, Youji;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • 제23권3호
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    • pp.155-175
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    • 2017
  • 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.

Applications of Fuzzy Theory on The Location Decision of Logistics Facilities (퍼지이론을 이용한 물류단지 입지 및 규모결정에 관한 연구)

  • 이승재;정창무;이헌주
    • Journal of Korean Society of Transportation
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    • 제18권1호
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    • pp.75-85
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    • 2000
  • In existing models in optimization, the crisp data improve has been used in the objective or constraints to derive the optimal solution, Besides, the subjective environments are eliminated because the complex and uncertain circumstances were regarded as Probable ambiguity, In other words those optimal solutions in the existing models could be the complete satisfactory solutions to the objective functions in the Process of application for industrial engineering methods to minimize risks of decision-making. As a result of those, decision-makers in location Problems couldn't face appropriately with the variation of demand as well as other variables and couldn't Provide the chance of wide selection because of the insufficient information. So under the circumstance. it has been to develop the model for the location and size decision problems of logistics facility in the use of the fuzzy theory in the intention of making the most reasonable decision in the Point of subjective view under ambiguous circumstances, in the foundation of the existing decision-making problems which must satisfy the constraints to optimize the objective function in strictly given conditions in this study. Introducing the Process used in this study after the establishment of a general mixed integer Programming(MIP) model based upon the result of existing studies to decide the location and size simultaneously, a fuzzy mixed integer Programming(FMIP) model has been developed in the use of fuzzy theory. And the general linear Programming software, LINDO 6.01 has been used to simulate, to evaluate the developed model with the examples and to judge of the appropriateness and adaptability of the model(FMIP) in the real world.

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Identification and Measurement of Hospital-Related Fears in Hospitalized School-Aged Children (학령기 입원아동의 병원관련 공포에 관한 탐색연구)

  • 문영임
    • Journal of Korean Academy of Nursing
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    • 제25권1호
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    • pp.61-79
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    • 1995
  • When children are admitted to hospital, they have to adapt to new and unfamiliar stimuli. Children may respond with fear to stimuli such as pain or unfamiliar experiences. One goal of nursing is to help hospitalized children to adapt effectively to their hospital experience. Accordingly, nurses need to assess childrens' fears of their hospital experience to contribute to the planning of care to alleviate these fears. The problem addressed by this study was to identify and measure hospital-related fears(hereafter called HRF) in hospitalized school-aged children. The study was conceptualized with Roy's model. A descriptive qualitative approach was used first, followed by a quantitative approach. This study was conducted from November 30, 1989 to January 12, 1991. The sample consisted of 395 hospitalized school-aged children selected through an allocated sampling technique in nine general hospitals. The HRF questionnaire (three point likert scale ) was developed by a delphi technique. The data were analyzed by an SAS program. Factor analysis was used for the examination of component factors. Differences in the HRF related to demographic variables were examined by t-test, analysis of variance and the Scheffe test. The crude scores of the HRF scale were transformed into T- scores to calculate the standard scores. The results included the following : 1. Forty-four items were derived from 188 statements identifying the childrens' hospital-re-lated fears. These items clustered into 14 factors, fear of injections, operations, bodily harm others' pain, medical rounds, physical examinations, medical staff, disease process, blood and X-rays, drugs and cockroaches, tests, harsh discipline from parents or staff, being absent from school, and separation from family. The 14 factors was classified into four categories,'pain','the unfamiliar','the un-known' and 'separation'. 2. The reliability of the HRF instruments was .92(Cronbach's alpha). In the factor analysis, Cronbach's alpha coefficients for the 14 factors ranged from .84 to .86 and Cronbach's alpha coefficients for the four categories ranged from .70 to .84. Pearson correlation coefficient scores for relationships among the 14 factors ranged from ,11 to .50, and among the four categories, from ,44 to ,63, indicating their relative independence. 3. The total group HRF score ranged from 45 to 130 in a possible range of H to 132, with a mean of 74.51. The fears identified by the children were, in order, injections, harsh discipline by parents or staff, bodily harm, operations, medical staff, disease process, and medical rounds ; the least feared was others' pain. The fear item with the highest mean score was surgery and the lowest was examination by a doctor. HRF scores were higher for girls than for boys, and for grade 1 students than for grade 6 students. HRF scores were lower for children whose fathers were over 40 than for those whose fathers were in the 30 to 39 age group, and whose mothers were over 35 than for those whose mothers were in the 20 to 34 age group. HRF scores were lower when the mother rather than any other person stayed with the child. The expressed fear of pain, the unfamiliar, the un-known and of separation directs nurses' concern to the threat felt by hospitalized children to their concept of self. This study contributes to the assessment of fears of hospitalized children and of stimuli impinging on those fears. Accordingly, nursing practice will be directed to the alleviation of pain, pre-admission orientation to the hospital setting and routines, initiation of information about procedures and experiences and arrangments for mothers to stay with their children. Recommendations were made for further research in different settings and for development and testing of the instrument.

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Simulation of Pension Finance and Its Economic Effects (연금재정(年金財政) 시뮬레이션과 경제적(經濟的) 파급효과(波及效果))

  • Min, Jae-sung;Kim, Yong-ha
    • KDI Journal of Economic Policy
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    • 제13권1호
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    • pp.115-134
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    • 1991
  • The role of pension plans in the macroeconomy has been a subject of much interest for some years. It has come to be recognized that pension plans may alter basic macroeconomic behavior patterns. The net effects on both savings and labor supply are thus matters for speculation. The aim of the present paper is to provide quantitative results which may be helpful in attaching orders of magnitude to some of the possible effects. We are not concerned with the providing empirical evidence relating to actual behavior, but rather with deriving the macroeconomic implications for a alternative possibilities. The pension plan interacts with the economy and the population in a number of ways. Demographic variables may thus affect both the economic burden of a national pension plan and the ability of the economy to sustain the burden. The tax transfer process associated with the pension plan may have implications for national patterns of saving and consumption. The existence of a pension plan may have implications also for the size of the labor force, inasmuch as labor force participation rates may be affected. Changes in technology and the associated changes in average productivity levels bear directly on the size of the national income, and hence on the pension contribution base. The vehicle for the analysis is a hypothetical but broadly realistic simulation model of an economic- demographic system into which is inserted a national pension plan. All income, expenditure, and related aggregates are in real terms. The economy is basically neoclassical; full employment is assumed, output is generated by a Cobb-Douglas production process, and factors receive their marginal products. The model was designed for use in computer simulation experiments. The simulation results suggest a number of general conclusions. These may be summarized as follows; - The introduction of a national pension plan (funded system) tends to increase the rate of economic growth until cost exceeds revenue. - A scheme with full wage indexing is more expensive than one in which pensions are merely price indexed. - The rate of technical progress is not a critical element in determining the economic burden of the pension scheme. - Raising the rate of benefits affects its economic burden, and raising the age of eligibility may decrease the burden substantially. - The level of fertility is an element in determining the long-run burden. A sustained low fertility rate increases the proportion of the aged in total population and increases the burden of the pension plan. High fertility has inverse effects.

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How does the introduction of smart technology change school science inquiry?: Perceptions of elementary school teachers (스마트 기기 도입이 과학탐구 활동을 어떻게 변화시킬 것인가? -교육대학원 초등과학 전공 교사의 인식 사례를 중심으로-)

  • Chang, Jina;Joung, Yong Jae
    • Journal of The Korean Association For Science Education
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    • 제37권2호
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    • pp.359-370
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    • 2017
  • The purpose of this study is to explore the changes caused by using smart technology in school science inquiry. For this, we investigated 12 elementary school teachers' perceptions by using an open-ended questionnaire, group discussions, classroom discussions, and participant interviews. The results of this study indicate that the introduction of technology into classroom inquiry can open up the various possibilities and can cause additional burdens as well. First, teachers explained that smart technology can expand the opportunities to observe natural phenomena such as constellations and changing phases of the moon. However, some teachers insisted that, sometimes, learning how to use new devices disrupts students' concentration on the inquiry process itself. Second, teachers introduced the way of digital measurement using smart phone sensors in inquiry activities. They said that digital measurement is useful in terms of the reduction of errors and of the simplicity to measure. However, other teachers insisted that using new devices in classroom inquiry can entail additional variables and confuse the students' focus of inquiry. Communication about inquiry process can also be improved by using digital media. However, some teachers emphasized that they always talked about both the purpose of using SNS and online etiquettes with their students before using SNS. Based on these results, we discussed the necessity of additional analysis on the various ways of using digital devices depending on teachers' perceptions, the types of digital competency required in science inquiry using smart technology, and the features of norms shaped in inquiry activities using smart technology.