• Title/Summary/Keyword: Confidence measure

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Knowledge on Sudden Unexplained Infant Death-related Safe Sleep Practices and Infant Cardiopulmonary Resuscitation in Pediatric Nurses

  • Cho, Jung Ae;Sohn, Min;Lee, Sangmi;Ahn, Young Mee
    • Child Health Nursing Research
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    • v.26 no.4
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    • pp.454-462
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    • 2020
  • Purpose: Sudden unexplained infant death (SUID) is a major contributor to infant mortality, and pediatric nurses have the responsibility to educate parents on SUID-reducing strategies. This study was conducted to measure pediatric nurses' knowledge of SUID-related safe sleep practices (K-SSSP) and infant cardiopulmonary resuscitation (K-ICPR). Methods: In total, 136 pediatric nurses were administered a survey including K-SSSP (13 items), K-ICPR (5 items), confidence in K-SSSP education (1 item; 5 points), and other factors relating to SUID experiences or education. Results: The correct answer rates of the K-SSSP and K-ICPR were 62.6% and 62.5%, retrospectively. The mean score for confidence in K-SSSP education was 2.6±0.9. Only 18 nurses (13.2%) responded that they educated parents on the content of the K-SSSP, while 76 nurses had received education on SUID. Positive relationships were observed between K-SSSP scores and higher education, between K-ICPR scores and having own child(ren) and clinical experience, and between confidence in K-SSSP education and higher education or having one's own child(ren). Nurses caring for newborns performed more SUID education than nurses working in other units. Conclusion: There is a profound need to implement a systemic educational program on SUID and strategies to reduce SUID for pediatric nurses.

Decision process for right association rule generation (올바른 연관성 규칙 생성을 위한 의사결정과정의 제안)

  • Park, Hee-Chang
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.2
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    • pp.263-270
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    • 2010
  • Data mining is the process of sorting through large amounts of data and picking out useful information. An important goal of data mining is to discover, define and determine the relationship between several variables. Association rule mining is an important research topic in data mining. An association rule technique finds the relation among each items in massive volume database. Association rule technique consists of two steps: finding frequent itemsets and then extracting interesting rules from the frequent itemsets. Some interestingness measures have been developed in association rule mining. Interestingness measures are useful in that it shows the causes for pruning uninteresting rules statistically or logically. This paper explores some problems for two interestingness measures, confidence and net confidence, and then propose a decision process for right association rule generation using these interestingness measures.

In Out-of Vocabulary Rejection Algorithm by Measure of Normalized improvement using Optimization of Gaussian Model Confidence (미등록어 거절 알고리즘에서 가우시안 모델 최적화를 이용한 신뢰도 정규화 향상)

  • Ahn, Chan-Shik;Oh, Sang-Yeob
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.12
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    • pp.125-132
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    • 2010
  • In vocabulary recognition has unseen tri-phone appeared when recognition training. This system has not been created beginning estimation figure of model parameter. It's bad points could not be created that model for phoneme data. Therefore it's could not be secured accuracy of Gaussian model. To improve suggested Gaussian model to optimized method of model parameter using probability distribution. To improved of confidence that Gaussian model to optimized of probability distribution to offer by accuracy and to support searching of phoneme data. This paper suggested system performance comparison as a result of recognition improve represent 1.7% by out-of vocabulary rejection algorithm using normalization confidence.

Survey of Korean daycare personnel on safe sleep practices related to sudden unexplained infant death: a cross-sectional exploratory study

  • Ahn, Young Mee;Cho, Jung Ae
    • Child Health Nursing Research
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    • v.28 no.4
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    • pp.299-309
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    • 2022
  • Purpose: Safe sleep practices (SSP) are among the main strategies to reduce sleep-related sudden unexplained infant death (SUID). Daycare personnel must be knowledgeable and trained in SSP related to SUID. This study explored the experience, knowledge, and confidence regarding SSP associated with SUID of daycare personnel. Methods: A cross-sectional survey was conducted with 395 staff members at 61 daycare centers to measure their experience related to SSP (10 items), related to sleep position and location, bedding materials, and other topics; knowledge of SSP (18 items); and confidence in SSP (1 item) related to SUID. Results: A substantial proportion (23.6%) of respondents used the lateral or prone positions for infant sleep. On average, 4.5 bedding materials were used for infant sleep. Participants showed a lack of knowledge about SSP as indicated by a 56.6% knowledge of SSP related to SUID correct answer rate. Personnel who received SUID education were more knowledgeable and had more confidence regarding SSP than those who did not. More knowledge and confidence related to SSP were associated with better adherence to SSP. Conclusion: Standard SSP guidelines should be developed based on South Korea's culture of childcare for educating both childcare professionals and parents at home.

Convergence relationship between knowledge, attitude, and confidence to cardiopulmonary resuscitation in dental hygienists (치과위생사의 심폐소생술에 대한 지식, 태도, 수행자신감 관계에 대한 융합연구)

  • Cheon, Hye Won;Jun, Mee-Jin
    • Journal of the Korea Convergence Society
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    • v.8 no.10
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    • pp.125-134
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    • 2017
  • The purpose of the study was investigated the convergence relationship between knowledge, attitude and confidence to cardiopulmonary resuscitation(CPR) in dental hygienists. To measure knowledge, attitude and confidence in CPR a structured questionnaire survey was carried out by 234 dental hygienists in Jeonbok area. from January to June, 2017. Date were analysis using SPSS 21.0 by ANOVA and Pearson's correlation coefficients. There was positive correlation between CPR knowledge and attitude by way of education, Knowledge and confidence(r=.25, r=.40, r=.19). Dental hygienist had low level of knowledge and confidence toward CPR. It is important to educate basuc life support(BLS) provider program to the dental hygienist.

The correlations between fall experience, balance, mobility and confidence in persons with stroke

  • Choi, Seokhwa;Lee, Byoung-Hee
    • Physical Therapy Rehabilitation Science
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    • v.9 no.3
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    • pp.178-183
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    • 2020
  • Objective: This study conducted in order to investigate the correlations between fall experience, balance, mobility, and confidence. We examined the difference between fall experience, and Berg Balance Scale (BBS), Timed-Up-and-Go test (TUG), Tinetti balance assessment (Tinetti balance [TiB], Tinetti gait [TiG]), and Activities-specific Balance Confidence (ABC) scale scores to see how fall experience, balance, mobility, and confidence of the persons with stroke affects their balance. Design: Cross-sectional study. Methods: Forty-one subjects participated in this study. The BBS includes 14 items, consisting of a 5-point scale from 0 to 4, totaling up to 56 points. The Timed Up and Go-Alone (TUGA) was used to measure the average time to take a 3 m round-trip by getting up and down from a 46-cm high chair with an armrest on a flat floor. The Timed-Up-and-Go-Cognitive (TUGC) was performed by counting backwards and the Timed Up and Go-Manual (TUGM) is performed by holding a cup full of water. The total score for the TiB is 16 points, and the TiG is 12 points, making a total of 28 points. There are 16 items total for the ABC scale. Results: According to the fall experience, BBS, the TUGA and TUGC values were significantly higher in the inexperienced group compared to the experienced group (p<0.05). The number of falls was significantly correlated with BBS, TUGA, TUGC, TUGM, TiB, TiG, TiB+TiG (p<0.05). Conclusions: This study supports that falls experience is strongly related to balance, mobility, and confidence. Optimal balance training programs for fall prevention is still insufficient and must be developed.

Effect of Yakson Therapy on Weight Gain in Premature Infants and Role Confidence and Satisfaction for Mothers (약손요법이 미숙아의 체중 증가와 미숙아 어머니 역할수행에 대한 자신감 및 만족도에 미치는 효과)

  • Im Hye-Sang;Park Eun-Sook;Kim Myung-Hwa;Kim Eun-Sook;Choi Young-Ok
    • Child Health Nursing Research
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    • v.11 no.4
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    • pp.481-489
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    • 2005
  • Purpose: The purpose of this study was to investigate the effects on weight of premature infants when Yakson therapy was conducted by mothers and also to measure role confidence and role satisfaction of the mothers. Method: A non-equivalent control group non-synchronized design was used. The data were collected from January to July, 2005. Thirty preform infants and mothers were assigned to either an experimental (15) or a control group (15). Yakson therapy consists of three phases: laying on of hands, caressing by hands, and laying on of hands again, each phase taking 5 minutes. Yakson therapy was provided to infants in the experimental group for 15-minutes 5 times a day far 15 days. Infant weight, mothers' role confidence and satisfaction with role were measured for both groups. Results: Compared to the control group, weight gain of infants in the experimental group (t=2.05, p=.049) was significantly increased after 15 days. The experimental group also had significantly higher scores in mothers'.ole confidence (t=1.98, p=.038). Conclusion: The results suggest that Yakson therapy can be used to increase weight gain in preform infants and improve the role confidence of mothers.

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The Effects of Pandemic(COVID 19) on Service Providers' Motivation, Ambidexterity, and Service Performanc: Focusing on Cabin Crew Case

  • KIM, Young Hee;PARK, Sang Beom
    • The Journal of Industrial Distribution & Business
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    • v.13 no.6
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    • pp.19-36
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    • 2022
  • Purpose: The purpose of this study is to analyze the effects of COVID 19. The effects of COVID 19 are grouped into 5; economic stress, mental stress, health stress, task concern, self-confidence. We introduce the concept of personal ambidexterity that is necessary power for cabin crews to provide appropriate and efficient service to passengers. Ambidexterity consists of exploiting existing resources to sustain and exploring the new including method of performing task, customer, market etc. The former is necessary to maintain present condition while the latter is necessary to prepare for the future. Also motive is considered as a stimulating factor for task. Previous studies show that motive affects ambidexterity and we try to analyze whether COVID 19 effects influence this relationship. Research design, data, and methodology: Considering the relationship between the variables, we designed to measure the influence of the effects of COVID 19 by analyzing the moderating effects of them. For empirical analysis we distributed survey questionnaire and collected. Total of 361 samples are used fo the analysis. For analysis program, SPSS version 23 was used. Regression analysis and moderating effect analysis were conducted. Results: Study results show that first, the variables of economic stress, mental stress, health stress, task concern, self confidence affects personal ambidexterity and service provision. Also ambidexterity affects service provision significantly. Among COVID 19 effects, economic stress, task concern, and self confidence has moderating effects. On the other hand, new work environment does not have moderating effect. Conclusions: In conclusion, the effects of COVID 19 are wide and various. Among them the most serious effect is that COVID 19 is depriving workers of self confidence and passion toward the work. To remedy stresses and restore self confidence and passion, each worker should make his/her own efforts, such as, learning more to become more competitive, also firms should do make efforts to protect employees and to rebuild trust between firm and employees in every respect. Especially firms should realize that economic stress can be treated by economic compensation as the situation turns to normal but trust as well as self confidence and passion is not easy to restore.

Clustering Algorithm for Data Mining using Posterior Probability-based Information Entropy (데이터마이닝을 위한 사후확률 정보엔트로피 기반 군집화알고리즘)

  • Park, In-Kyoo
    • Journal of Digital Convergence
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    • v.12 no.12
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    • pp.293-301
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    • 2014
  • In this paper, we propose a new measure based on the confidence of Bayesian posterior probability so as to reduce unimportant information in the clustering process. Because the performance of clustering is up to selecting the important degree of attributes within the databases, the concept of information entropy is added to posterior probability for attributes discernibility. Hence, The same value of attributes in the confidence of the proposed measure is considerably much less due to the natural logarithm. Therefore posterior probability-based clustering algorithm selects the minimum of attribute reducts and improves the efficiency of clustering. Analysis of the validation of the proposed algorithms compared with others shows their discernibility as well as ability of clustering to handle uncertainty with ACME categorical data.

Automatic Edge Detection Method for Mobile Robot Application (이동로봇을 위한 영상의 자동 엣지 검출 방법)

  • Kim Dongsu;Kweon Inso;Lee Wangheon
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.5
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    • pp.423-428
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    • 2005
  • This paper proposes a new edge detection method using a $3{\times}3$ ideal binary pattern and lookup table (LUT) for the mobile robot localization without any parameter adjustments. We take the mean of the pixels within the $3{\times}3$ block as a threshold by which the pixels are divided into two groups. The edge magnitude and orientation are calculated by taking the difference of average intensities of the two groups and by searching directional code in the LUT, respectively. And also the input image is not only partitioned into multiple groups according to their intensity similarities by the histogram, but also the threshold of each group is determined by fuzzy reasoning automatically. Finally, the edges are determined through non-maximum suppression using edge confidence measure and edge linking. Applying this edge detection method to the mobile robot localization using projective invariance of the cross ratio. we demonstrate the robustness of the proposed method to the illumination changes in a corridor environment.