• Physical Therapy Rehabilitation Science
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• v.10 no.4
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• pp.421-429
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• 2021

Objective: The purpose of this study was to examine the effect of personalized complex aerobic training programs using wearable device on cardiovascular and respiratory functions in community based female elderly. Design: One group pre-post intervention study. Methods: Twenty-one older female participants lived in 'D' city were included. The personalized complex aerobic training program using wearable devices was applied to all participants for 4 weeks, 3 times a week, 30 minutes for per session. The participants' blood pressure, heart rate, oxygen saturation, respiration rate, submaximal exercise stress test, pulmonary function test and respiratory muscle strength test were evaluated before and after the complex training program. Results: After intervention, resting diastolic blood pressure, resting systolic blood pressure and the systolic blood pressure after submaximal exercise stress test were significantly decreased over time (p<0.05), and the submaximal exercise stress test duration were significantly increased over time (p<0.05). The maximal inspiratory pressure (MIP) was significantly increased compare to before the intervention (p<0.05). Conclusions: This study showed that personalized complex training program using wearable device can provide personalized exercise intensity according to cardiopulmonary function that give feedback, and these interventions have a significant effect on improving the cardiovascular and respiratory system functions of the female elderly in the community dwelling.

• Journal of the Society of Disaster Information
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• v.17 no.3
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• pp.427-441
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• 2021

Purpose: This study proposes a method for developing a model that predicts the probability of traffic accidents in advance to prevent the most frequent traffic accidents in the military. Method: For this purpose, CRISP-DM (Cross Industry Standard Process for Data Mining) was applied in this study. The CRISP-DM process consists of 6 stages, and each stage is not unidirectional like the Waterfall Model, but improves the level of completeness through feedback between stages. Results: As a result of modeling the same data set as the previously constructed accident investigation data for the entire group, when the classification criterion was 0.5, Significant results were derived from the accuracy, specificity, sensitivity, and AUC of the model for predicting traffic accidents. Conclusion: In the process of designing the prediction model, it was confirmed that it was difficult to obtain a meaningful prediction value due to the lack of data. The methodology for designing a predictive model using the data set was proposed by reorganizing and expanding a data set capable of rational inference to solve the data shortage.

• Research in Community and Public Health Nursing
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• v.30 no.3
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• pp.295-306
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• 2019

Purpose: There has been a growing recognition that person-centered care enhances the quality of life of nursing home residents with dementia. This study was conducted to develop a person-centered dementia care online education program for direct care staff in long-term care facilities. Methods: Delphi method with expert group was used to validate contents. We developed 61 draft items based on literature review. Twenty experts participated in consecutive three round surveys including 5-point Likert scale questions and open-ended questions. Based on experts' opinions, the content validity ratio for content validity and the coefficient of variation for stability were calculated. Results: Three-round Delphi surveys and additional feedback from the expert panel established a consensus of core contents: 1) dementia (7 categories), 2) person-centered care (6 categories), 3) communication (8 categories), and 4) behavioral and psychological symptoms of dementia (6 categories). Specific sub-categories in each category were differentiated according to the job qualifications (65 sub-categories for registered nurses, 64 sub-categories for nursing aids, and 41 sub-categories for personal care workers). Conclusion: This delphi study identified person-centered dementia education curricula, in which the person-centered approach should be a key policy priority in Korean long-term care system. Now it is urgently needed to develop education programs utilizing online platforms that enable efficient and continuous learning for long-term care staff, which can contribute to behavior changes in the person-centered dementia care approach and improvement of care quality in long-term care facilities.

• Physical Therapy Rehabilitation Science
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• v.8 no.2
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• pp.93-98
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• 2019

Objective: The purpose of this study was to investigate the effect of robot arm reach training on upper extremity functional movement in chronic stroke survivors. Design: One group pretest-posttest design. Methods: Thirteen chronic stroke survivors participated in this study. Robot arm reach training was performed with a Whole Arm Manipulator (WAM) and a 120-inch projective display to provide visual and auditory feedback. During the robotic arm reach training, WAM provided gravity compensation and assist-as-needed (AAN) force according to the robot control mode. When a participant could not move the arm toward the target for more than 2 seconds, WAM provided AAN force to reach the desired targets. All patients participated in the training for 40 minutes per day, 3 times a week, for 4 weeks. Main outcome measures were the Fugl-Meyer Assessment (FMA), Action Research Arm Test (ARAT) and Box and Block Test (BBT) to assess upper extremity functional movement. Results: After 4 weeks, significant improvement was observed in upper extremity functional movement (FMA: 42.15 to 46.23, BBT: 12.23 to 14.00, p<0.05). In the subscore analysis of the FMA upper extremity motor function domains, significant improvement was observed in upper extremity and coordination/speed units (p<0.05). However, there were no significant differences in the ARAT. Conclusions: This study showed the positive effects of robot arm reach training on upper extremity functional movement in chronic stroke survivors. In particular, we confirmed that robot arm reach training could have a positive influence by leading to improvement of motor recovery of the proximal upper extremity.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.5
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• pp.157-162
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• 2019

Recently, the awareness of S/W education, which was confined to the profession, is changing due to the changing industrial environment based on ICT technology World main countries invest competitively in S/W education and the target age group is getting lower Among them, the unplugged coding method using the robot platform is known as one of the most effective S/W training methods targeting the elementary age by the intuitive coding method and the robot platform feedback. However, the unplugged coding method using the robot platform has a disadvantage that it can not configure various interfaces for complicated coding due to limitations of H/W. In this paper, we have proposed an unplugged coding system which can input various commands for robot control by IR remote control as an interface and minute signals using robot sensor.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.407-417
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• 2021

This study aims to establish the relationship between the Green Marketing Orientation (GMO) variables and the performance of Green Small and Medium Enterprises (GSMEs) across the building and energy sectors in Malaysia, using customer satisfaction as a means of performance measurement. The GMO variables examined include Greening the Process (GTP), Green Supply Chain Management (GSCM), Green Strategic Policy Initiatives (GSPI), Proactive Energy Conservation (PEC) and Green Promotion (GP). The items used to measure these variables were extracted from literature and adapted to the context of the variables based on feedback from Focus Group Discussions and Expert Opinion sessions. This study employs a survey sample of 300 respondents but only 238 completed questionnaires were returned. The results reveal that GTP, GSCM and PEC have a positive impact on Customer Satisfaction but not GSPI and GP. The findings suggest that owners or managers of GSMEs should focus on maintaining and improving GTP, GSCM and PEC in order to create greater satisfaction among their customers. The significance of this study is that it enables the creation of a framework that enables GSMEs to design a pathway towards achieving a cleaner production of goods and services in line with United Nations Sustainable Development Goals.

• Journal of Korean Society of Archives and Records Management
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• v.22 no.1
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• pp.159-176
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• 2022

This study aims to develop a COVID-19 documentation strategy for university archives, which will act as a response system to infectious diseases. The study applied the phases of "documentation area definition and preliminary analysis" and "documentation strategy drafting" described in Heckman's documentation strategy model. In defining the documentation area and doing preliminary analysis, the author analyzed the cases of COVID-19 documentation projects at overseas university archives and conducted interviews with stakeholders. In drafting the documentation strategy, the author interviewed three archivists working in university archives. From these findings, the documentation strategy plan was developed and revised based on the feedback from archivists. The strategy plan covers the documentation purpose, subject/functional area, group, reference information, and major considerations. The findings of this study might be useful for figuring out ways to secure records related to COVID-19 or other infectious diseases in university archives.

• Journal of Korean Biological Nursing Science
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• v.24 no.2
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• pp.95-103
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• 2022

Purpose: The purpose of this study was to provide multifaceted interventions for nurses and to confirm changes in their knowledge, perception, and actual practice on the adequate storage, conditions, and transportation of culture specimens. Methods: A one-group pretest-posttest experimental design was conducted with 41 nurses in two general wards of a tertiary acute care hospital in Seoul. Multifaceted interventions including education, feedback, posting guidelines and reminders, and improvement in specimen management accessibility were provided from May 2019 to January 2020. Outcomes were measured before and after the interventions. Knowledge and perception of the nurses were evaluated using self-reported questionnaires and actual practice by observation. Results: After the interventions, the average knowledge score on transportation time was significantly increased (Z= -4.89, p< .001). However, the knowledge score on storage methods was not significantly increased. The perception score was significantly increased (t= -3.19, p= .003). The proportion of specimen storage times, places, and conditions managed properly was significantly increased from 43.0% (46/107) to 77.1% (84/109) (p< .001). The average transportation time of blood samples to the laboratory significantly decreased from 3 hours 36 minutes (± 1 hour 52 minutes) to 3 hours 1 minute (± 1 hour 41 minutes) (t= 2.51, p= .013). The percentage of blood culture specimens arriving within 2 hours was increased significantly from 22.9% to 39.2% (χ²= 6.90, p= .009). Conclusion: The interventions were effective. However, some specimens remained in the ward longer than expected after the interventions. This requires further interventions.

• Korean Journal of Optics and Photonics
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• v.33 no.3
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• pp.99-105
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• 2022

We have evaluated the performance of an all-optical automatic gain-controlled (AGC) erbium-doped fiber amplifier (EDFA) to suppress the optical signal fluctuation induced by atmospheric turbulence in terrestrial free-space optical communication systems. In our measurements, the input power into the EDFA was set to be -30 dBm and -10 dBm to operate the amplifier in the small-signal and saturation regions, respectively. The fluctuations in the optical signal were emulated with an acousto-optic modulator driven with a sinusoidal voltage. From the measured results, we have found that an all-optical AGC EDFA could suppress the optical signal fluctuation effectively, as long as the EDFA operated in the small-signal region with a high feedback amplified spontaneous emission (ASE) power.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.11
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• pp.473-478
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• 2022

Evaluation learning based on code testing is becoming a popular solution in programming education via Online judge(OJ). In the recent past, many papers have been published on how to detect plagiarism through source code similarity analysis to support OJ. However, deep learning-based research to support automated tutoring is insufficient. In this paper, we propose Input & Output side FiLM models to predict whether the input code will pass or fail. By applying Feature-wise Linear Modulation(FiLM) technique to GRU, our model can learn combined information of Java byte codes and problem information that it tries to solve. On experimental design, a balanced sampling technique was applied to evenly distribute the data due to the occurrence of asymmetry in data collected by OJ. Among the proposed models, the Input Side FiLM model showed the highest performance of 73.63%. Based on result, it has been shown that students can check whether their codes will pass or fail before receiving the OJ evaluation which could provide basic feedback for improvements.