• Journal of Home Health Care Nursing
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• v.27 no.3
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• pp.259-270
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• 2020

Purpose: This study aimed to identify nursing competencies of outpatient nurses, to develop a tool to assess the same, and to verify the validity and reliability of the tool. Method: Preliminary items of the scale were developed based on a literature review and nurses' interviews. The tool's content validity was verified by an expert panel and by conducting a pilot study. Subsequently, to verify the validity and reliability of the scale, data were collected from 233 outpatient nurses from 7 certified tertiary hospitals. Data were analyzed using exploratory factor analysis, independent t-test, and internal consistency and correlation analysis. Result: The factor analysis revealed the following 9 factors for the 48 items of the scale: organizational management, customer orientation, personality and ethics, problem solving, nursing practice, interpersonal relationships, communication, crisis management, and professionalism. The Cronbach's α coefficient of the final instrument was .97. Conclusion: The tool developed in this study exhibited adequate validity and reliability. It was effective in reflecting the changing roles of outpatient nurses. Therefore, in future, this tool is expected to help improve outpatient nurses' competencies and nursing quality.

• Journal of the Korean Society of School Health
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• v.36 no.2
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• pp.62-70
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• 2023

Purpose: The purpose of the study is to identify workload measurement indicators for school nurses in order to provide high-quality health care and deploy school nurses effectively. Methods: A second Delphi survey was conducted on 21 experts with more than 5 years of school nurses experience. To develop indicators related to the workload of school nurses, the importance and measurability of a total of 21 workload indicators were investigated, including school nurses characteristics, school characteristics, health needs of students, and socioeconomic determinants. Results: As a result of the Delphi survey, it was found that 6 indicators were suitable in terms of importance and 8 indicators in terms of measurability. The important indicators the panel agreed on include the size of the city where the school is located, the total number of students, the number of classes, the percentage of students with chronic illness, the percentage of students visiting the health office per day, and the percentage of wound care in the health office per day. Conclusion: The percentage of students with chronic illness and the percentage of wound care per day need to be reflected in school nurse workload indicators and follow-up studies are required to shed more light on the socioeconomic determinants of schools.

• Educational Technology International
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• v.19 no.1
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• pp.1-33
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• 2018

The present study aimed to develop a self-reported measurement instrument - the Empathetic School Community Competency Inventory (ESCCI)-to better understand members' empathetic sense to schools as their community in the context of secondary schools in South Korea. Based on a synthesis of the literature on the school community, empathy, and competencies, and a series of preliminary analyses with a panel of expert judges and pilot tests, initial ESCCI items were developed. In total, 435 students and 134 teachers from secondary schools in South Korea provided usable data as measured by the ESCCI. The results of EFA and CFA suggested a five-factor model: culture of respect ( α = .94), empathetic community identity ( α = .93), communication structure (α = .91), emotion immersion (α = .91), and caring process (α =.89) with χ² (980, n = 285) = 3080.169; p-value < .0001, RMSEA = 0.068; 90% CI [.059, .064], p-value < .0001; CFI = .88; SRMR = 0.04; and TLI = .88, leaving 46 items out of initially developed 76 items. The ESCCI model developed based on the findings of the study can be used to assess schools' competency as an empathetic community and design programs to promote empathetic school cultures in secondary schools in South Korea. Implications and limitations of the study are discussed.

• Journal of Korean Academy of Nursing
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• v.30 no.5
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• pp.1333-1346
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• 2000

This study is a methodical research to develop a health behavior assessment scale for patients with rheumatoid arthritis, and to test the validity and reliability of the instrument. The research procedure was as follows; 1) The first step was to develop conceptual framework based on a comprehensive review of the literature, in-depth interviews patients with rheumatoid arthritis. This conceptual framework was organized in eight dimensions; pain management, exercise, rest, diet control, active committment, self-management, positive thinking, interpersonal maintenance. Initially 56 items were selected from 164 statement. 2) These items were reviewed by panel of eight specialists and the Index of Content validity (CVI) was calculated, and forty six items were selected which met more than 70% on the CVI. 3) 174 rheumatoid arthritis pateints were interviewed, and data was gathered from Jan. 25 to Feb. 18, 1999 for test reliabilities and validities of the scale. The item analysis was carried out and 40 items were selected. Factor analysis by varimax rotation was carried out to test construct validity. The internal consistency by chronbach's $\alpha$ was calculated. The findings were as follows; 1) Item analysis and factor analysis were carried out to test the validity of the health behavior assessment scale. The item analysis was based on the corrected item`s to total correlation coefficient (.30 or more), and information about the alpha estimate. However, this was only if this item was deleted from the scale. As a result of the item analysis, forty items were selected. Thirty items were selected by a initial factor analysis by varimax rotation, and ten items were deleted because of factor complexity. In the secondary factor analysis, eight factors were labled as 'positive thinking', 'exercise', 'rest', 'pain management', 'active committment', 'self-management', 'diet control', and 'interpersonal maintenance', each similar with the conceptual framework. 2) Chronbach's $\alpha$ coefficient to test reliability of the scale was. 903 for total the thirty items. The Scale for assessing health behavior developed in this study was identified to be a tool with a high degree of reliability and validity. Therefore this scale can be effectively utilized for assessment in the health behaviors of the patients with rheumatoid arthritis.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.2430-2434
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• 2005

Automatic FPC punching instrument for the improvement of working condition and cost saving is introduced in this paper. FPC(flexible printed circuit) is used to detect the contact position of K/B and button like a cellular phone. Depending on the quality of the printed ink and position of reference punching point to the FPC, the resistance and current are varied to the malfunctioning values. The size of reference punching point is 2mm and the above. Because the punching operation is done manually, the accuracy of the punching degree is varied with operator's condition. Recently, The punching accuracy has deteriorated severely to the 2mm punching reference hall so that assembly of the K/B has hardly done. To improve this manual punching operation to the FPC, automatic FPC punching system is introduced. Precise mechanical parts like a 5-step stepping motor and ball screw mechanism are designed and tested and low cost PC camera is used for the sake of cost down instead of using high quality vision systems for the FA. 3D Mechanical design tool(Pro/E) is used to manage the exact tolerance circumstances and avoid design failures. Simulation is performed to make the complete vision based punching machine before assembly, and this procedure led to the manufacturing cost saving. As the image processing algorithms, dilation, erosion, and threshold calculation is applied to obtain an exact center position from the FPC print marks. These image processing algorithms made the original images having various noises have clean binary pixels which is easy to calculate the center position of print marks. Moment and Least square method are used to calculate the center position of objects. In this development circumstance, Moment method was superior to the Least square one at the calculation of speed and against noise. Main control panel is programmed by Visual C++ and graphical Active X for the whole management of vision based automatic punching machine. Operating modes like manual, calibration, and automatic mode are added to the main control panel for the compensation of bad FPC print conditions and mechanical tolerance occurring in the case of punch and die reassembly. Test algorithms and programs showed good results to the designed automatic punching system and led to the increase of productivity and huge cost down to law material like FPC by avoiding bad quality.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.30 no.7 s.250
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• pp.741-749
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• 2006

For last couple of decades, uses of TFI-LCDs have been expanded to many FPD(Flat Panel Display) applications including mobile displays, desktop monitors and TVs. Furthermore, there has been growing demand for increasingly larger LCD TVs. In order to meet this demand as well as to improve productivity, LCD manufactures have continued to install larger-generation display fabrication facilities which are capable of producing more panels and larger displays per mother glass(substrate). As the size of mother glass becomes larger, a robot required to handle the glass becomes bigger accordingly, and its end effectors(arms) are extended to match the glass size. With this configuration, a considerable static deflection occurs at the end of the robot arms. In order to stack maximum number of mother glasses on a given footprint, the static deflection should be compensated. This paper presents a novel static deflection compensation algorithm. This algorithm requires neither measurement instrument nor additional vertical axis on the robot. It is realized by robot controller software. The forward and inverse kinematics considering compensation always guarantees a unique solution, so the proposed algorithm can be applied to an arbitrary robot position. The algorithm reduced static deflection by 40% in stationary robot state experiment. It also improved vertical path accuracy up to 60% when the arm was running at its maximum speed. This algorithm has been commercialized and successfully applied to a seventh-generation LCD glass-handling robot.

• Journal of the Korean Society for Precision Engineering
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• v.23 no.12 s.189
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• pp.88-94
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• 2006

In this study, the dynamic impact analysis for the passenger air-bag(PAB) module has been carried out by using FEM to predict the dynamic characteristics of vehicle ride safety against head impact. The impact performance of vehicle air-bag is directly related to the design parameters of passenger air-bag module assembly, such as the tie bar bracket's width and thickness, respectively, However, the product's design of PAB module parameters are estimated through experimental trial and error according to the designer's experience, generally. Therefore, the dynamic analysis of head impact test of the passenger air-bag module assembly of automobile is needed to construct the analytical methodology At first, the FE models, which are consist of instrument panel, PAB Module, and head part, are combined to the whole module system. Then, impact analysis is carried out by the explicit solution procedure with assembled FE model. And the dynamic characteristics of the head impact are observed to prove the effectiveness of the proposed method by comparing with the experimental results. The better optimized impact performance characteristics is proposed by changing the tie bracket's width md thickness of module. The proposed approach of impact analysis will provides an efficient vehicle to improve the design quality and reduce the design period and cost. The results reported herein will provide a better understanding of the vehicle dynamic characteristics against head impact.

• International Journal of Automotive Technology
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• v.7 no.5
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• pp.571-577
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• 2006

This paper deals with dynamic tensile characteristics for the polypropylene used in an IP(Instrument Panel). The polypropylene is adopted in the dash board of a car, especially PAB(Passenger Air Bag) module. Its dynamic tensile characteristics are important because the PAB module undergoes high speed deformation during the airbag expansion. Since the operating temperature of a car varies from $-40^{\circ}C$ to $90^{\circ}C$ according to the specification, the dynamic tensile tests are performed at a low temperature($-30^{\circ}C$), the room temperature($21^{\circ}C$) and a high temperature($85^{\circ}C$). The tensile tests are carried out at strain rates of six intervals ranged from 0.001/sec to 100/sec in order to obtain the strain rate sensitivity. The flow stress decreases at the high temperature while the strain rate sensitivity increases. Tensile tests of polymers are rather tricky since polymer does not elongate uniformly right after the onset of yielding unlike the conventional steel. A new method is suggested to obtain the stress-strain curve accurately. A true stress-strain curve was estimated from modification of the nominal stress-strain curves obtained from the experiment. The modification was carried out with the help of an optimization scheme accompanied with finite element analysis of the tensile test with a special specimen. The optimization method provided excellent true stress-strain curves by enforcing the load response coincident with the experimental result. The material properties obtained from this paper will be useful to simulate the airbag expansion at the normal and harsh operating conditions.

• The Journal of Korean Academic Society of Nursing Education
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• v.22 no.4
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• pp.549-558
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• 2016

Purpose: The purpose of this study was to develop and validate a Nursing Competency Scale in Simulation (NCSS) for nursing students. Methods: A preliminary version of the NCSS of 14 items was derived from the literature. A panel of seven experts reviewed the preliminary version for content validation and developed 15 items scale. A convenient sample of 195 nursing students completed the survey and two evaluators measured the performances of nine teams in a simulation scenario with NCSS. The data were analyzed using exploratory factor analysis, descriptive statistics, independent t-test and Cronbach's alpha. Intraclass correlation coefficient (ICC) was used in order to estimate the degree of inter-rater reliability. Results: An exploratory factor analysis demonstrated that two factor structures of the NCSS explained 51.1% of the total variance. Two factors were named psychosocial skills and cognitive and psychomotor skills. The mean scores of NCSS between third and 4th grade were significantly different providing support for its known-group validity. Cronbach's alpha was .90 and ranged from .79 to .88. The overall ICC for inter-rater agreement was 0.89 (95% CI 0.03 to 0.98). Conclusion: This scale shows preliminary evidence for validity and reliability. It could be a useful instrument for measuring learning outcome in simulation for nursing students' clinical competency.

• Nuclear Engineering and Technology
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• v.41 no.3
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• pp.247-270
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• 2009

This paper reviews studies on information searching behavior in process control systems and discusses some implications learned from previous studies for use in human factors studies on nuclear power plants (NPPs) main control rooms (MCRs). Information searching behavior in NPPs depends on expectancy, value, salience, and effort. The first quantitative scanning model developed by Senders for instrument panel monitoring considered bandwidth (change rate) of instruments as a determining factor in scanning behavior. Senders' model was subsequently elaborated by other researchers to account for value in addition to bandwidth. There is also another type of model based on the operator's situation awareness (SA) which has been developed for NPP application. In these SA-based models, situation-event relations or rules on system dynamics are considered the most significant factor forming expectancy. From the review of previous studies it is recommended that, for NPP application, (1) a set of symptomatic information sources including both changed and unchanged symptoms should be considered along with bandwidth as determining factors governing information searching (or visual sampling) behavior; (2) both data-driven monitoring and knowledge-driven monitoring should be considered and balanced in a systematic way; (3) sound models describing mechanisms of cognitive activities during information searching tasks should be developed so as to bridge studies on information searching behavior and design improvement in HMI; (4) the attention-situation awareness (A-SA) modeling approach should be recognized as a promising approach to be examined further; and (5) information displays should be expected to have totally different characteristics in advanced control rooms. Hence much attention should be devoted to information searching behavior including human-machine interface (HMI) design and human cognitive processes.