• Tuberculosis and Respiratory Diseases
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• 제85권2호
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• pp.137-146
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• 2022

Background: Farinelli breathing (FB) exercise is a typical breathing exercise used by singers. This study aimed to compare effects of FB exercise and diaphragmatic breathing (DB) exercise on respiratory function and symptoms in patients with chronic obstructive pulmonary disease (COPD). Methods: Sixteen patients aged 51-80 years with mild or moderate COPD were recruited for this study. They were divided into two groups: DB group (n=8) and FB group (n=8). Both groups received complete breathing exercise training five times per week for 8 weeks. Their respiratory functions, COPD symptoms, cytokine levels, and oxidative stress variables were analyzed during pre- and post-tests. Dependent variables were compared between pre- and post-tests using paired t-tests. An independent t-test was used to compare variables between the groups. Differences were considered significant at p<0.05. Results: The maximal expiratory pressure (MEP), maximum oxygen consumption (VO₂max), and COPD Assessment Test (CAT) scores changed significantly in the DB group after the 8-week intervention compared to those at pre-test, whereas force vital capacity, forced expiratory volume in the first second, maximum voluntary ventilation, maximal inspiratory pressure (MIP), MEP, VO₂max, CAT score, tumor necrosis factor-α, and malondialdehyde level changed significantly in the FB group at post-test compared to those at pre-test. Moreover, both MIP and MEP in the FB group were significantly higher than those in the DB group. Conclusion: FB exercise improved respiratory functions and COPD symptoms of patients with COPD. It might be an alternative breathing exercise in pulmonary rehabilitation programs for patients with COPD.

• 시스템엔지니어링학술지
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• 제18권2호
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• pp.94-107
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• 2022

Accidents prevention and mitigation is the highest priority of nuclear power plant (NPP) operation, particularly in the aftermath of the Fukushima Daiichi accident, which has reignited public anxieties and skepticism regarding nuclear energy usage. To deal with accident scenarios more effectively, operators must have ample and precise information about key safety parameters as well as their future trajectories. This work investigates the potential of machine learning in forecasting NPP response in real-time to provide an additional validation method and help reduce human error, especially in accident situations where operators are under a lot of stress. First, a base-case SGTR simulation is carried out by the best-estimate code RELAP5/MOD3.4 to confirm the validity of the model against results reported in the APR1400 Design Control Document (DCD). Then, uncertainty quantification is performed by coupling RELAP5/MOD3.4 and the statistical tool DAKOTA to generate a large enough dataset for the construction and training of neural-based machine learning (ML) models, namely LSTM, GRU, and hybrid CNN-LSTM. Finally, the accuracy and reliability of these models in forecasting system response are tested by their performance on fresh data. To facilitate and oversee the process of developing the ML models, a Systems Engineering (SE) methodology is used to ensure that the work is consistently in line with the originating mission statement and that the findings obtained at each subsequent phase are valid.

• 대한통합의학회지
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• 제10권1호
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• pp.81-89
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• 2022

Purpose : Kegel exercises reported that it is effective in managing stress-related or complex urinary incontinence through contraction and relaxation of the pelvic floor muscles. In many previous studies, it was confirmed that Kegel exercise is involved in respiration as well as urinary system diseases. However, there is a lack of research on the effect of pelvic setting when performing Kegel exercises. Therefore, this study was conducted to investigate the effect on maximum voluntary ventilation (MVV) and abdominal muscle thickness through Kegel exercise after lumbar-pelvic motor control using pressure biofeedback unit (PBU). Methods : The subjects of this study were 10 healthy female students in their 20s. Subjects measured MVV with a spirometer. In hooklying, external oblique, internal oblique, and transverse abdominis of the dominant hand were measured using ultrasound. The measured value was an average of three times. After one week of intervention, measurements were made in the same manner. Before Kegel exercise, pelvic setting training was performed using PBU. In hooklying, PBU was placed in the waist and set to 40 mmHg, and it was adjusted to 60 mmHg through pelvic muscle contraction. For Kegel exercise, the pelvis was first set using PBU, and then the pelvic floor muscles were contracted for 8 seconds and relaxed for 8 seconds, 10 times, 1 set, and 3 sets. Results : In MVV, a significant difference was confirmed after exercise than before exercise (p<.05). There was also a significant difference in abdominal muscle thickness before and after exercise (p<.05). Conclusion : Based on the results of this study, Kegel exercise using PBU had an effect on MVV and abdominal muscle thickness. However, since this study was conducted without a control group as a preliminary study, additional research should be conducted to supplement this.

• 대한통합의학회지
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• 제10권3호
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• pp.257-266
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• 2022

Purpose : This systematic review examined evidence published 2000-2021 for occupational therapy interventions for adult Attention Deficit Hyperactivity Disorder (adult ADHD). Methods : In order to find out the studies on the effect occupational therapy intervention on individuals with adult ADHD, studies published from 2000 to February 2022 were searched on Google Academic Search. The keywords used were "adult ADHD" AND "Occupational therapy". A total of 785 studies were searched, and from these, 3 studies were selected based on the application of the selection and exclusion criteria. The included studies comprised of 1 Quasi-experimental design study(one group pre-post test) and 2 randomized controlled trials design studies. The included studies were analyzed in PICO(patients, intervention, comparison, outcomes). Results : As a result of analysing the subjects of the included studies, subjects diagnosed with adult ADHD or classified as high-risk group in Adult ADHD Self-Report Scale test, the number of subjects was 97, and the average age was about 33 years old. Occupational therapy intervention methods for adult ADHD include Tailored Intervention, Computerized Cognitive Training, and Cognitive-Functional Intervention. The Adult ADHD Self-Report Scale was the most used to check the symptoms of ADHD, and the COPM was used the most to measure the effects of occupational therapy interventions. The dependent variables of occupational therapy intervention were occupational performance, quality of life, executive function (behavioral regulation, metacognition), self-regulation function, stress management, and sustained attention. The effect of the intervention was statistically significant in 78.5% of the total. Conclusion : It is expected that the results of this study can be used as basic data for evidence-based practice for occupational therapists to apply adult ADHD interventions. In the field of occupational therapy in Korea, research on various interventions that can improve the occupational performance of adults ADHD should be conducted.

• 한국의류산업학회지
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• 제24권6호
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• pp.782-788
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• 2022

Our research participants were composed of health teachers exhausted by the COVID-19 pandemic. This study analyzed the attitudes towards image-making through utilizing the job training at Gwangju Metropolitan Office of Education on August 2022, where our study was able to obtain and analyze 30 elementary, middle, and high school health teachers who participated. Image making is defined as playing a role in increasing self-esteem through outward appearances such as facial expressions and posture, personal color, makeup, tone, hairstyling, and fashion and impacting individuals inwardly to increase self-confidence. Therefore, there is a positive impact in providing an image-making program that considers the occupational characteristics of a health teacher. It had the effect of stress relief and aided in building a healthier self-image among the participants. The results our study showed the following results. First, all participants had various concerns regarding their appearance and deemed that image-making was necessary, yet they needed to be more informed regarding the specific methods of doing so. Secondly, participants were mainly focused on purchasing makeup products for image making. Although participants showed interest in a personal color diagnosis, there needed to be more support in approaching the subject as the diagnosis was necessary from an expert. Third, participants stated that image-making should occur for their middle-aged selves when experienced in the field. Participants believed that they would be more concerned with how others viewed them after gaining expertise. Hence, this study found that the occupational characteristics of health teachers greatly benefitted from image-making programs oriented to their careers and would also show an increase in job satisfaction.

• 한국직업건강간호학회지
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• 제32권2호
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• pp.39-48
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• 2023

Purpose: This study aimed to understand how changes in income due to the COVID-19 pandemic have affected the health behavior and mental health status of self-employed individuals. Methods: We compared the health behavior and mental health status of regular wage workers and self-employed individuals with no change in income, with that of self-employed individuals with reduced income due to the spread of COVID-19. Results: Smoking status, average amount of smoking per day, changes in the amount of smoking and drinking due to COVID-19, drinking frequency per year, monthly binge drinking experiences, subjective stress, and suicidal thoughts experienced by self-employed individuals with decreased income were not only higher than those of wage workers and self-employed individuals with maintained income, but their happiness index was also lower than the latter group. Conclusion: This study suggests that the change in total household income due to COVID-19 adversely affects the health behavior and mental health status of self-employed individuals. However, COVID-19-related policies focus only on economic loss compensation, and the health behavior and mental health management for self-employed individuals is insufficient. Therefore, it is necessary to establish policies for health behavior and mental health management of self-employed individuals.

• Safety and Health at Work
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• 제13권4호
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• pp.379-386
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• 2022

Emergency medical services (EMS) personnel are at high risk for adverse mental health outcomes during disease outbreaks. To support the development of evidence-informed mitigation strategies, we conducted a scoping review to identify the extent of research pertaining to EMS personnel's mental health during disease outbreaks and summarized key factors associated with mental health outcomes. We systematically searched three databases for articles containing keywords within three concepts: EMS personnel, disease outbreaks, and mental health. We screened and retained original peer-reviewed articles that discussed, in English, EMS personnel's mental health during disease outbreaks. Where inferential statistics were reported, the associations between individual and work-related factors and mental health outcomes were synthesized. Twenty-five articles were eligible for data extraction. Our findings suggest that many of the contributing factors for adverse mental health outcomes are related to inadequacies in fulfilling EMS personnel's basic safety and informational needs. In preparation for future disease outbreaks, resources should be prioritized toward ensuring adequate provisions of personal protective equipment and infection prevention and control training. This scoping review serves as a launching pad for further research and intervention development.

• 예술인문사회 융합 멀티미디어 논문지
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• 제7권10호
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• pp.287-296
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• 2017

이 논문은 교사의 교육과정 연수에 대한 현황을 살펴보고, 교육과정 행정의 임무가 무엇인지 살펴본 것이다. 연구내용은 우선 교원연수와 교육과정 연수의 차별화된 특징이 무엇인지 살펴보았다. 교육과정연수는 교원연수의 일종이지만, 개정 교육과정이 확정·고시된 이후 보급단계가 있고, 실제 적용단계로 구분이 되는 특징이 있었다. 다음으로 교육과정 개발에서 교육과정 연수가 어떠한 위치를 지니는지 확인하였다. 교육과정 개발에서 교육과정 연수는 개정 교육과정에 대한 주요 이해를 위한 것에 있었고, 개발 이후 적용단계에서는 심화된 내용의 연수가 필요함을 확인하였다. 마지막으로 교육과정 연수의 추진 체계과 내용 및 교육과정 행정의 임무에 대해 논의하였다. 논의결과 교육과정 행정은 보급단계와 적용단계의 차별화, 지도·조언의 성격, 교원의 전문성 향상, 연수대상의 다원성의 고려, 연수방법의 다양화, 직무적 성격의 강화, 교외 자주적 연수에 대한 배려 등에 대한 제도의 정비가 요구되었다.

• Computers and Concrete
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• 제32권2호
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• pp.217-232
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• 2023

Numerous studies have been performed on the behavior of pile foundations in cold regions. This study first attempted to employ artificial neural networks (ANN) to predict pile-bearing capacity focusing on pile data recorded primarily on cold regions. As the ANN technique has disadvantages such as finding global minima or slower convergence rates, this study in the second phase deals with the development of an ANN-based predictive model improved with an Elephant herding optimizer (EHO), Dragonfly Algorithm (DA), Genetic Algorithm (GA), and Evolution Strategy (ES) methods for predicting the piles' bearing capacity. The network inputs included the pile geometrical features, pile area (m²), pile length (m), internal friction angle along the pile body and pile tip (Ø°), and effective vertical stress. The MLP model pile's output was the ultimate bearing capacity. A sensitivity analysis was performed to determine the optimum parameters to select the best predictive model. A trial-and-error technique was also used to find the optimum network architecture and the number of hidden nodes. According to the results, there is a good consistency between the pile-bearing DA-MLP-predicted capacities and the measured bearing capacities. Based on the R2 and determination coefficient as 0.90364 and 0.8643 for testing and training datasets, respectively, it is suggested that the DA-MLP model can be effectively implemented with higher reliability, efficiency, and practicability to predict the bearing capacity of piles.

• Steel and Composite Structures
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• 제51권4호
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• pp.441-456
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• 2024

This paper aims to develop Machine Learning (ML) algorithms to predict the buckling resistance of cold-formed steel (CFS) channels with restrained flanges, widely used in typical CFS sheathed wall panels, and provide practical design tools for engineers. The effects of cross-sectional restraints were first evaluated on the elastic buckling behaviour of CFS channels subjected to pure axial compressive load or bending moment. Feedforward multi-layer Artificial Neural Networks (ANNs) were then trained on different datasets comprising CFS channels with various dimensions and properties, plate thicknesses, and restraining conditions on one or two flanges, while the elastic distortional buckling resistance of the elements were determined according to the Finite Strip Method (FSM). To develop less biased networks and ensure that every observation from the original dataset has the chance of appearing in the training and test set, a K-fold cross-validation technique was implemented. In addition, the hyperparameters of the ANNs were tuned using a grid search technique to provide ANNs with optimum performances. The results demonstrated that the trained ANNs were able to predict the elastic distortional buckling resistance of CFS flange-restrained elements with an average accuracy of 99% in terms of coefficient of determination. The developed models were then used to propose a simple ANN-based design formula for the prediction of the elastic distortional buckling stress of CFS flange-restrained elements. Finally, the proposed formula was further evaluated on a separate set of unseen data to ensure its accuracy for practical applications.