• Biomedical Science Letters
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• v.19 no.1
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• pp.61-69
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• 2013

The aim of this study was to evaluate the effect of exercise-based cardiac rehabilitation on pro- and anti-inflammatory markers in patients with acute coronary syndrome (ACS). ACS patients who underwent percutaneous coronary intervention (PCI) and took medicine during phase II of rehabilitation were recruited for study. Subjects were divided into two groups; exercise group (EX, n=21) and a non-exercise group (non-EX, n=13). Supervised exercise program in hospital consisted of treadmill and bicycle exercise was performed three times per week for 6 weeks. Patients of EX received individual counseling, including knowledge of heart disease, risk factor modification, and physical training. Cardiopulmonary fitness, body composition, and biochemical blood factors were analyzed before and after experiment. There was no significant difference in serum levels of hs-CRP and TGF-${\beta}1$ between groups, and between time intervals. But there was a significant decrease in serum levels of IL-18 (P<.001). And there was a significant increase in ratio of IL-18 to IL-10 (P<.01) and serum levels of IL-10 (P<.001). After cardiac rehabilitation, there was significant increase in exercise duration (P<.001), maximal oxygen uptake ($VO_{2peak}$; P<.001) and decrease in submaximal rate-pressure product (sRPP; P<.05) in EX. In conclusion, exercise-based cardiac rehabilitation during phase II in patients with ACS after PCI decreased serum IL-18 (pro-inflammatory) content and ratio of IL-18 to IL-10 in serum (highly related with disease recurrence), and increased serum IL-10 (anti-inflammatory) content. In addition, it led to improved cardiopulmonary fitness.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.2
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• pp.417-426
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• 2024

In general, the implementation of machine learning requires prior knowledge and experience with deep learning models, and substantial computational resources and time are necessary for data processing. As a result, machine learning encounters several limitations when deployed on embedded processors. To address these challenges, this paper introduces a novel approach where a genetic algorithm is applied to the convolution operation within the machine learning process, specifically for performing a selective convolution operation.In the selective convolution operation, the convolution is executed exclusively on pixels identified by a genetic algorithm. This method selects and computes pixels based on a ratio determined by the genetic algorithm, effectively reducing the computational workload by the specified ratio. The paper thoroughly explores the integration of genetic algorithms into machine learning computations, monitoring the fitness of each generation to ascertain if it reaches the target value. This approach is then compared with the computational requirements of existing methods.The learning process involves iteratively training generations to ensure that the fitness adequately converges.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.465-473
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• 2017

The purpose of this study was to verify the validity of the developed evaluation method for competition intelligence of sport talented children of of Kim et al.(2015). For this purpose, total 3 times of observation by sports leaders were accomplished for evaluation of competition intelligence. After finishing final observation, the correlation between the sub-factors(practice intelligence, learning intelligence, and training intelligence) and gifted students' physical fitness and KOSTASS were examined. First, as the reliability, the correlations between leaders' observation results were significantly higher than 0.8 in all sub-factors. Second, all sub-factors of competition intelligence showed significant positive correlation with in standing jump, 50m dash and side step test improvement(p<.05). Third, all sub-factors showed no significant correlation with KOSTASS(p>.05). These results showed that the evaluation tool by Kim et al.(2015) didn't not fully reflect the improvement level of basic physical fitness factors of the gifted students. However, the results of correlation between physical fitness factors requiring technical learning process showed that the gymnastic gauging tools included learning process and task acquisition level.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.34 no.1
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• pp.77-84
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• 2024

Objectives: Interventions promoting physical exercise and healthy habits in workplaces have been shown to be effective in reducing risk factors for metabolic syndrome. This study was conducted to examine the effects of an individualized conditioning exercise program of IT company office workers with or at higher risk of metabolic syndrome. Methods: A total of 444 IT company office workers with or at higher risk of metabolic syndrome participated in a 3-month conditioning exercise program. Body composition data using bioelectrical impedance analysis and cardiopulmonary data using cardiopulmonary exercise testing from 53 individuals (mean age: 34.8 ± 7.1 years, sex : 21% female, height : 170.4 ± 6.8 cm, weight : 75.2±12.2 kg, body mass index : 25.8±3.3 kg/m²) who have successfully completed pre-test, intervention, and post-test were analyzed. The 12 weeks intervention encompassed: (1) health counseling (2) supervised exercise(endurance-based, aerobic exercise, or circuit training once a week for 50 minutes at heart rate reserve(HRR) of 77-95%) (3) self-directed exercise and biweekly health screening checks. Results: The results indicated a significant decrease in body weight, body fat mass and body mass index, respectively. Moreover, VO₂peak, AT VO₂ and AT Time significantly improved, respectively. Resting blood pressure(SBP/DBP) showed positive changes but were not statistically significant. We observed the correlation between characteristics of participants and rate of changes in cardiopulmonary outcomes of participants, there are no significant correlation. These results indicate positive changes in body composition and cardiorespiratory fitness parameters following individualized conditioning exercise program. Conclusions: Individualized workplace exercise program for preventing metabolic syndrome can lead to improvements in body composition and cardiorespiratory fitness.

• Journal of Industrial Convergence
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• v.18 no.3
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• pp.91-98
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• 2020

The purpose of this study was to identify differences in records for each section of the wheelchair marathon and to provide information necessary for training and basic data for developing training methods. The subjects of this study were analyzed for the records of a total of 5 foreign male athletes and 4 domestic top athletes who completed the 42.195km full course among the participants at the 2016 Seoul International Wheelchair Marathon. Every 5km section records and finish records were used, and the first section to the ninth section were set. As for the data processing method, descriptive statistics (Mean, SD) were used using the statistical program SPSS 25.0. The following conclusions were drawn according to the above research methods and procedures. In the case of the winning W1 athletes, the record at 30km to 35km was the fastest 8 minutes and 43 seconds in the entire section, and the difference was 1 minute and 4 seconds compared to the K1 athletes of the nation's No. 1 athletes. In order to be ranked higher in international competitions, training to adapt to a quick pace at a later stage is required. That is, it was found that the second half face should be faster based on the half distance. In addition, in each section of the first half, it is necessary to develop a race pace suitable for the average speed level for each individual section. Therefore, it is considered that the fitness training program that can maintain the early race and the training program that can cope with changes in pace after the second half should be applied.

• Journal of Pharmacopuncture
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• v.20 no.1
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• pp.23-28
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• 2017

Objectives: Exercise with partially restricted blood flow is a low-load, low-intensity resistance training regimen which may have the potential to increase muscle strength in the obese, elderly and frail who are unable to do high-load training. Restricted blood flow exercise has also been shown to affect blood vessel function variably and can, therefore, contribute to blood vessel dysfunction. This pilot study tests the hypothesis that unilateral resistance training of the leg extensors with partially restricted blood flow increases muscle strength and decreases vascular autoregulation. Methods: The subjects were nine normotensive, overweight, young adult African-Americans with low cardiorespiratory fitness who underwent unilateral training of the quadriceps' femoris muscles with partially restricted blood flow at 30% of the 1-repetition maximum (1-RM) load for 3 weeks. The 1-RM load and post-occlusion blood flow to the lower leg (calf) were measured during reactive hyperemia. Results: The 1-RM load increased in the trained legs from $77{\pm}3$ to $84{\pm}4 kg$ (P < 0.05) in the absence of a significant effect on the 1-RM load in the contralateral untrained legs (P > 0.1). Post-occlusion blood flow decreased significantly in the trained legs from $19{\pm}2$ to $13{\pm}2mL{\cdot}min^{-1}{\cdot}dL^{-1}$ (P < 0.05) and marginally in the contralateral untrained legs from $18{\pm}2$ to $16{\pm}1mL{\cdot}min^{-1}{\cdot}dL^{-1}$ (P = 0.09). Changes in post-occlusion blood flow to the skin overlying the trained and the contralateral untrained muscles were not significant. Conclusion: These results demonstrate that restricted blood flow exercise, which results in significant gains in muscle strength, may produce decrements in endothelial dysfunction and vascular autoregulation. Future studies should determine whether pharmacopuncture plays a role in treatments for such blood vessel dysfunction.

• Journal of Life Science
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• v.26 no.1
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• pp.129-139
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• 2016

Exercise increases the expression and interaction of major neurotrophic factors such as brain-derived neurotrophic factor (BDNF), insulin-like growth factor-1 (IGF-1), and vascular endothelial growth factor (VEGF) at both central and peripheral tissues, which contributes to improved brain and neural plasticity and cognitive function. Previous findings have been to understand the effect of light or moderate intensity aerobic exercise on neurotrophic factors and cognitive function, not that of high intensity aerobic exercise. However, recent findings suggest that high intensity interval training is a safe, less time-consuming, efficient way to improve cardiorespiratory fitness and weight control, thus American College of Sport Medicine (ACSM)’s guidelines for exercise prescription for various adult populations also recommend the application of high intensity interval training to promote their overall health. High intensity interval training also enhances the expression of BDNF, IGF-1, and VEGF at the brain and peripheral tissues, which improves cognitive function. Increased frequency of intermittent hypoxia and increased usage of lactate as a supplementary metabolic resource at the brain and neural components are considered a putative physiological mechanism by which high intensity interval training improves neurotrophic factors and cognitive function. Therefore, future studies are required to understand how increased hypoxia and lactate usage leads to the improvement of neurotrophic factors and what the related biological mechanisms are. In addition, by comparing with the iso-caloric moderate continuous exercise, the superiority of high intensity interval training on the expression of neurotrophic factors and cognitive function should be demonstrated by associated future studies.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.1
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• pp.29-37
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• 1999

In general, the information processing capability of a neural network is determined by its architecture and efficient training patterns. However, there is no systematic method for designing neural network and selecting effective training patterns. Evolutionary Algorithms(EAs) are referred to as the methods of population-based optimization. Therefore, EAs are considered as very efficient methods of optimal system design because they can provide much opportunity for obtaining the global optimal solution. In this paper, we propose a new method for finding the optimal structure of neural networks based on competitive co-evolution, which has two different populations. Each population is called the primary population and the secondary population respectively. The former is composed of the architecture of neural network and the latter is composed of training patterns. These two populations co-evolve competitively each other, that is, the training patterns will evolve to become more difficult for learning of neural networks and the architecture of neural networks will evolve to learn this patterns. This method prevents the system from the limitation of the performance by random design of neural networks and inadequate selection of training patterns. In co-evolutionary method, it is difficult to monitor the progress of co-evolution because the fitness of individuals varies dynamically. So, we also introduce the measurement method. The validity and effectiveness of the proposed method are inspected by applying it to the visual servoing of robot manipulators.

• Journal of Ginseng Research
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• v.19 no.2
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• pp.93-100
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• 1995

This study was undertaken to determine whether administration of a standardized gindeng extract at 300 mg.$d^1$ for 8 weeks could enhance maximum aerobic and anaerobic exercise capabilities and whether any changes of such effects can be occurred when exercise training was added. Forty-one male university students were randomly divided into four groups as ginseng-untrained (GU, n=10), ginseng-trained (GT, n=10), placebo-untrained (PU, n=10), and placebo-trained (PT, n=11). The trained groups underwent 8 weeks of aerobic exercise at 65% of individual's maximum oxygen consumption ($Vo_2$ max) for 30 min.$d^1$, 3d.$wk^1$. Prior to and at the end of experiment, $Vo_2$ max, anaerobic power (AP), anaerobic capacity (AC), and leg muscle strength were determined and some physiological parameters related to $Vo_2$ max were measured. Initially, all subject groups did not differ in average $Vo_2$ max (range 45.9 to 47.9 ml/.kg-1.min-1). After 8 weeks, the $Vo_2$ max increased significantly from the initial level by 12.6% in group GU, 14.5% in group PT, and 24.5% in group GU which was significantly higher than group GU but not group PT. Changes in all measured parameters related to $Vo_2$ max were similar among the subject groups except group PU. Both the AP and the AC were significantly increased in all subject groups (range +3.6 to +13.1% above initial for the AP and +4.4 to) 8.955 above initial for the AC) but the higher changes were found for the AP in groups PT and GU, and for the AC in grouts PT, when compared with group PU. No significant differences in the two anaerobic variables were observed between group GT and the other groups of subjects. Leg strength was also significantly enhanced over group PU in groups PT, GU and GT. There were no significant differences among the latter three subject groups. As a result of these findings, it was concluded that under the conditions of this study ginseng administration at the prescribed dose exhibited the training-like effects on $Vo_2$ max as well as anaerobic power and leg muscle strength but no clear synergistic action on these physical fitness variables occurred when both g inseng administration and exercise training were combined.

• Journal of Veterinary Clinics
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• v.36 no.1
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• pp.62-67
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• 2019

This study was performed to apply the measurement of heart rate and velocity in training horses for assessing race performance. Additionally, we aimed to identify parameters that can be used to evaluate the training level and exercise capacity. Eleven healthy 2- to 6-year-old Thoroughbreds were trained by the standard training program and heart rate and velocity were measured by using heart monitoring system and GPS. Regression analysis in heart rate and velocity data was performed to calculate velocity parameters. The mean maximal heart rate in gallop was $214{\pm}11bpm$. The mean $V_{140}$, $V_{180}$, $V_{200}$ and $VHR_{max}$ were $13.8{\pm}4.3km/h$, $37.5{\pm}3.8km/h$, $49.3{\pm}4.3km/h$ and $57.4{\pm}7.1km/h$ respectively. The mean $V_{140}$ of high performance racehorses was significantly higher than that of low performance racehorses (P < 0.05). Moreover, analyzing the correlation between velocity parameters and racing ability-related categories showed that $V_{140}$ was positively correlated with rating (P < 0.05), $V_{180}$ and $VHR_{max}$ were positively correlated with prize money per race (P < 0.05). Also, $V_{140}$ was significantly correlated with G1F (P < 0.05). The results of this study have shown that the measurement of heart rate and velocity during training could be useful methods to assess fitness for races or performance potential. Especially, $V_{140}$ is a good parameter to evaluate a performance of racehorses in Korea.