Background: Balance disorder is a prevalent clinical manifestation following stroke, often causing considerable discomfort and gait disability. Various water-based therapeutic approaches have been developed to address balance and gait disorder. Objects: The purpose of this study was to investigate the effects of water-based gait training using auditory stimulation on balance and gait abilities in stroke patients. Methods: All subjects were randomly divided into three groups: water-based gait training using auditory stimulation group (WAG) (n = 24), water-based gait training group (WG) (n = 24), and control group (n = 22). Subjects in WAG and WG underwent water-based gait training for 30 minutes, 3 times a week for 6 weeks. All Subjects were assessed for muscle strength, balance, gait, motor function, and activity of daily living pre- and post-intervention. Results: Results showed that all outcome measures significantly improved post-intervention (p < 0.05). Additionally, WAG was found to significantly improve in Medical Research Council (MRC), Berg Balance Scale (BBS), and Timed Up and Go (TUG) test compared to WG, and WG showed significant differences compared to the control group in MRC and Fugl-Meyer Assessment (FMA) (p < 0.05). WAG exhibited significant differences in all areas except Modified Bathel Index (MBI) in the between-group comparison with the control group (p < 0.05). Conclusion: These results suggest that water-based gait training using auditory stimulation may be effective strategy to improve muscle strength, balance and gait ability for with stroke.

This study investigated the quality characteristics and volatile flavor components of aronia wine (Aronia melanocarpa (0~100%)). After 12 days of fermentation, the alcohol contents of aronia wines ranged between 9.0~12.0%. The pH level and total acidity of aronia wines were 3.20~3.68 and 0.57~0.76 g/100 mL, respectively. The organic acid analysis of wine containing 100% aronia, revealed malic acid content at 3.70 mg/mL, followed by tartaric acid, lactic acid, and citric acid. As the aronia content increased, both the total polyphenol content and the antioxidant activity (the DPPH radical scavenging activity) also significantly increased. The total polyphenol content was the highest in the wine with 100% aronia (461.33 mg%), and the antioxidant activity showed the highest values in the wine with 100% aronia (91.91%). Volatile flavor component analysis of aronia wines identified 8 alcohols, 12 esters, 4 ketones, and 7 other compounds. In the sensory evaluation, the color, flavor, and taste of wine with 20% aronia showed higher values than other aronia wines. Based on the results of the present study, we suggest that 20% aronia is most beneficial in improving the quality as well as sensory characteristics of the wine.

This study was carried out to evaluate the quality characteristics of Korean domestic commercial white wines. Four sample wines were analyzed in terms of their pH, total acidity, volatile acidity, alcohol content, soluble solid, free SO2, total SO2, color, free sugar content, organic acid, volatile compounds, total polyphenol content, DPPH radical scavenging activity and sensory characteristics. The pH of wines ranged from 3.06 to 3.76 and their total acidity from 0.43 to 0.83% (v/v). The alcohol content of samples ranged from 9.4 to 12.8% (v/v) and their soluble solid contents from 9.9 to 12.3 °Brix. The free SO2 and total SO2 contents of the W1 wine were lower than those of the other wines, while the color intensity, a (redness) and b (yellowness) of W1 wine were higher than the values of the other wines. The malic acid contents of the four wines indicated that complete malolactic fermentation (MLF) occurred in W1, incomplete MLF in W3, and was absent in W2 and W4. Aroma analysis resulted in identification of 10 alcohols, 11 esters, 2 ketones and 6 miscellaneous compounds. 2,3-Epoxybutane and 1-(ethenyloxy)-pentane levels in were significantly higher W1 than the other wines, while several types of ester predominated in W2, W3 and W4. W1 had the lowest sensory score among the four wines. Therefore, the quality characteristics of domestic white wines are considered to be acceptable.

This study investigates the performance of four Bayesian methods, Random Walk Metropolis (RWM), Hit-And-Run Metropolis (HARM), Adaptive Mixture Metropolis (AMM), and Population Monte Carlo (PMC), for estimating the parameters and uncertainties of probability rainfall distribution, and the results are compared with those of conventional parameter estimation methods; namely, the Method Of Moment (MOM), Maximum Likelihood Method (MLM), and Probability Weighted Method (PWM). As a result, Bayesian methods yield similar or slightly better results in parameter estimations compared with conventional methods. In particular, PMC can reduce parameter uncertainty greatly compared with RWM, HARM, and AMM methods although the Bayesian methods produce similar results in parameter estimations. Overall, the Bayesian methods produce better accuracy for scale parameters compared with the conventional methods and this characteristic improves the accuracy of probability rainfall. Therefore, Bayesian methods can be effective tools for estimating the parameters and uncertainties of probability rainfall distribution in hydrological practices, flood risk assessment, and decision-making support.