• Journal of the Korean Society of Physical Medicine
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• v.18 no.3
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• pp.85-97
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• 2023

PURPOSE: This study analyzed the effectiveness of respiratory exercise in stroke patients conducted in Korea over the past 10 years (2012-2023). METHODS: Using the RISS, KCI, KISS, and NDSL databases, previous studies on stroke and respiratory exercise were searched, and relevant articles were collected following the PRISMA guidelines. Twelve articles were selected, and the quality of the studies was evaluated using the PEDro scale. RESULTS: Twelve studies were selected, and the qualitative evaluation of these studies showed that five articles received a score of six out of 10, while five articles received a score of five. The remaining two articles received scores of four and three, respectively. The intervention duration for respiratory exercise ranged from 20 to 30 minutes per session, with a frequency of three to five sessions per week, conducted over a period of three to eight weeks. These results indicated that respiratory exercise effectively improved the respiratory function, physical function, and respiratory muscle activation in stroke patients. CONCLUSION: Respiratory exercise was reported to have a positive affect the respiratory function, physical activity, and respiratory muscle activation in stroke patients.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.893-903
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• 2022

Recently, computer vision (CV)-based safety monitoring (i.e., object detection) system has been widely researched in the construction industry. Sufficient and high-quality data collection is required to detect objects accurately. Such data collection is significant for detecting small objects or images from different camera angles. Although several previous studies proposed novel data augmentation and synthetic data generation approaches, it is still not thoroughly addressed (i.e., limited accuracy) in the dynamic construction work environment. In this study, we proposed a game engine-driven synthetic data generation model to enhance the accuracy of the CV-based object detection model, mainly targeting small objects. In the virtual 3D environment, we generated synthetic data to complement training images by altering the virtual camera angles. The main contribution of this paper is to confirm whether synthetic data generated in the game engine can improve the accuracy of the CV-based object detection model.

• Journal of Korean Biological Nursing Science
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• v.25 no.2
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• pp.113-122
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• 2023

Purpose: The purpose of this study was to examine the effects of a mobile application on quality of life, wellness, and preventive behaviors against dementia among older adults who use senior citizen centers. Methods: Seventy-two older adults who used senior citizen centers were allocated to an intervention group (n = 36) and a control group (n = 36). The experimental treatment involved a cognitive enhancement program for preventing dementia using a mobile application for 12 sessions over 6 weeks. Data were analyzed using the t-test, chi-square test, Fisher's exact test, paired t-test, and independent t-test. Results: The cognitive enhancement program based on a mobile application was effective for wellness (t = -3.87, p < .001) and preventive behaviors against dementia (t = -3.98, p < .001) for older adults who used a senior center. Conclusion: The mobile application-based cognitive enhancement program developed in this study is recommended as an effective intervention for dementia prevention in older adults.

• Communications for Statistical Applications and Methods
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• v.29 no.2
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• pp.177-191
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• 2022

This paper addresses the use of machine learning methods for causal estimation of treatment effects from observational data. Even though conducting randomized experimental trials is a gold standard to reveal potential causal relationships, observational study is another rich source for investigation of exposure effects, for example, in the research of comparative effectiveness and safety of treatments, where the causal effect can be identified if covariates contain all confounding variables. In this context, statistical regression models for the expected outcome and the probability of treatment are often imposed, which can be combined in a clever way to yield more efficient and robust causal estimators. Recently, targeted maximum likelihood estimation and causal random forest is proposed and extensively studied for the use of data-adaptive regression in estimation of causal inference parameters. Machine learning methods are a natural choice in these settings to improve the quality of the final estimate of the treatment effect. We explore how we can adapt the design and training of several machine learning algorithms for causal inference and study their finite-sample performance through simulation experiments under various scenarios. Application to the percutaneous coronary intervention (PCI) data shows that these adaptations can improve simple linear regression-based methods.

• Journal of Distribution Science
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• v.21 no.1
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• pp.73-83
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• 2023

Purpose: This study analyzed the influence of restaurant service perception on customer satisfaction and its implications on customers' attitude towards, intention to return to, and word-of-mouth (WOM) regarding a restaurant chain. Research design, data and methodology: Data from 421 respondents were collected using the convenience sampling method. After analyzing the data normality and removing responses with missing data and outliers, 342 responses were selected for further analysis, and the hypotheses were tested using Structural Equation Modeling (SEM). Results: We found that service perception affected customer satisfaction and customer satisfaction affected the customers' attitude toward the restaurant chain, which affected customers' intention to return and WOM about the restaurant chain. Conclusions: This paper provides one of the most important empirical results for managers in the restaurant sector, especially in Indonesia. Restaurant managers should thus provide training to their employees to improve the quality of the interaction with the customers and thereby increase customer satisfaction. The limitations listed in this study include the exclusion of respondents' income. For future research, we suggest investigating models of customer participation or consumer value co-creation for restaurant marketing success. Consumers are generic actors in the service ecosystem engaged in the value co-creation process.

• International Journal of Advanced Culture Technology
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• v.11 no.2
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• pp.409-414
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• 2023

In recent years, the emergence of a number of AI image generation software represented by [Midjourney] has brought great impetus to the development of the field of AI-assisted art creation. Compared with the traditional hand-painted digital painting with the aid of electronic equipment, broke the traditional sense of animation character creation logic.This paper analyzes the application of AI technology in the field of animation character design through the practice of two-dimensional animation character . This is having a significant impact on the productivity and innovation of animation design and character modeling. The key results of the analysis indicate that AI technology, particularly through the utilization of "Midjourney,"enables the automation of certain design tasks, provides innovative approaches, and generates visually appealing and realistic characters. In conclusion, the integration of AI technology, specifically the application of "Midjourney," brings a new dimension to animation character design. The utilization of AI image generation software facilitates streamlined workflows, sparks creativity, and improves the overall quality of animated characters. As the animation industry continues to evolve, AI-assisted tools like "Midjourney" hold great potential for further advancement and innovation.

• Phonetics and Speech Sciences
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• v.15 no.2
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• pp.53-59
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• 2023

Detection of children with autism spectrum disorder (ASD) based on speech has relied on predefined feature sets due to their ease of use and the capabilities of speech analysis. However, clinical impressions may not be adequately captured due to the broad range and the large number of features included. This paper demonstrates that the knowledge-driven speech features (KDSFs) specifically tailored to the speech traits of ASD are more effective and efficient for detecting speech of ASD children from that of children with typical development (TD) than a predefined feature set, extended Geneva Minimalistic Acoustic Standard Parameter Set (eGeMAPS). The KDSFs encompass various speech characteristics related to frequency, voice quality, speech rate, and spectral features, that have been identified as corresponding to certain of their distinctive attributes of them. The speech dataset used for the experiments consists of 63 ASD children and 9 TD children. To alleviate the imbalance in the number of training utterances, a data augmentation technique was applied to TD children's utterances. The support vector machine (SVM) classifier trained with the KDSFs achieved an accuracy of 91.25%, surpassing the 88.08% obtained using the predefined set. This result underscores the importance of incorporating domain knowledge in the development of speech technologies for individuals with disorders.

• Physical Therapy Rehabilitation Science
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• v.12 no.2
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• pp.201-205
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• 2023

Objective: Resistance exercise is a necessary element to improve quality of life, and measurement and evaluation of muscle strength provide important information for prescription and management of rehabilitation and exercise programs. This study analyzed the correlation between direct and indirect 1RM for isokinetic maximum torque of the knee joint in order to provide useful information in the field of exercise programs. In addition, the flexion-extension ratio and the difference in left-right deviation were verified. Design: A cross-sectional study Methods: The subjects of this study were 33 healthy adult men and women without medical problems who participated in the health exercise class program at S University in Seoul. The correlation between isokinetic maximum torque and direct and indirect 1RM was analyzed, and a dependent t-test was performed to analyze the flexion-extension ratio and left-right deviation. Results: There was a high correlation between the isokinetic maximum torque and direct and indirect 1RM, and no statistically significant difference was shown between the test methods in the analysis of the flexion-extension ratio and left-right deviation. Conclusions: Isokinetic muscle function measuring equipment is expensive, so it is difficult to use it in local exercise rehabilitation and training sites. Through this study, it was found that direct and indirect 1RM isokinetic maximum torque showed a high correlation, and there was no difference in evaluating muscle function such as flexion-extension ratio and left-right deviation. Therefore, it is considered that the muscle function evaluation using 1RM in general field can be usefully utilized.

• Asia Marketing Journal
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• v.16 no.1
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• pp.195-214
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• 2014

Many oil refinery companies have been proactively carried out marketing activities to survive in highly intensified service station industry. In 2012, SK Energy ranked number one in three customer satisfaction surveys (NCSI, KCSI, and KS-SQI). SK Energy's success is in its differentiated customer satisfaction business strategy. SK Energy has been implementing various marketing activities. As a part of the activities, it issued an affinity credit card with on spot discount privilege for the first time in the oil refinery industry. SK Energy also issued EnClean bonus card for OK Cashbag points that can be used for discounts at the service stations. On top of all, SK Energy generated point value-up with '3K Exclusive Privilege' program. In addition, team 'CS 119' was formed to noticeably improve the service. 'CS 119' visited each service station, diagnosed its CS service level then provided customized field training for improvement. Long-termimplementation of 'ACE Program', a field-base CS monitoring system, regularly checked customer satisfaction level. 'ACE Program' has significantly contributed improving SK Service Station's service quality and customer satisfaction. This case reviews customer satisfaction marketing activities SK Energy carried out. The focus is on distinctive factors that distinguish SK Energy's customer satisfaction marketing activities from competitors.

• Journal of Korean Neuropsychiatric Association
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• v.57 no.3
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• pp.235-243
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• 2018

Treatment of schizophrenia has as its ultimate goals, the functional recovery of the patients and improvement of their quality of life. While antipsychotic medication is the fundamental method for treating schizophrenia, it has certain limitations in terms of treating the illness beyond its positive symptoms. Therefore, psychosocial intervention should be used in tandem with pharmacological methods in treating schizophrenia. The efficacy of several modes of psychosocial intervention for improving outcomes in schizophrenia is well attested. Approximately 10 modes of psychosocial intervention have been recommended based on existing evidence, including family intervention, cognitive behavioral therapy, supported employment, early intervention services, lifestyle intervention for physical health enhancement, treatment of comorbid substance abuse, assertive community treatment, cognitive remediation, social skills training, and peer support. Ideally, these interventions are offered to patients in combination with one another. Over the last decade, increased emphasis has been placed on early detection and intervention, with particular focus on long-term recovery. Early intervention with comprehensive psychosocial interventions should be enacted promptly from the initial detection of schizophrenia.