ObjectivesIn this study, we tried to examine that Sasang Constitutional differences affect the direction of the treatment of anger by comparing the effect of mindfulness meditation for anger scale in accordance with the difference of the constitution. MethodsWe analysed 105 college student's Constitution by Questionnaire for the Sasang Constitution ClassificationⅡ and the effect of mindfulness meditation for anger by State-Trait Anger Expression Inventory Korean version(STAXI-K), Korean Version of the Behavioral Anger Response Questionnaire(K-BARQ). Volunteers who participated in this study were 105 people, except for person that did not properly entered the anger scale and Questionnaire for the Sasang Constitution ClassificationⅡ, the subjects of analysis for State-Trait Anger Expression Inventory Scale were 45 and for the Behavioral Anger Scale were 49. Results & ConclusionsThe result of the effects of mindfulness meditation according to Sasang Constitution was as follows. The tendency to try to disperse and avoid the anger was increased through meditation for all subjects. The diffusion of male subjects and the avoidance of female subjects was increased. The effect of meditation on anger did not differ according to Sasang Constitution, constitutional differences did not affect the effects of meditation. The tendency of avoidance of anger was increased in Soyangin, Anger-out was decreased and the tendency of avoidance and diffusion of anger were decreased in Taeeumin through meditation.

Owing to the continuously improving spatial resolution and accuracy of the reanalysis data, a site adaptation case study was performed for the prediction of wind farm power output using ERA5, the 5th generation reanalysis data. The wind speed of the reanalysis data was substituted into the performance curve of the wind turbine by altitude and topographical speed up/down correction using the power law for maximizing the correlation between the predicted and actual power record. Cluster analysis was conducted to classify the wind farms into five groups, and representative onshore, inland, mountain wind farms were selected for case analysis from each cluster. Via the site adaptation of 41 wind farms in South Korea, the hourly, daily cumulative, and monthly cumulative correlation coefficients of the power output were calculated, which were 0.68, 0.79, and 0.85, respectively. In future, machine learning will be introduced for site adaptation in conjunction with the downscaling of wind resource maps by numerical weather prediction or computational fluid dynamics.

This study was conducted to quantify the carbon storage in each pool (including trees, forest floor, and soil) and to analyze the carbon cycle in a Chamaecyparis obtusa (Siebold and Zucc.) Endl. forest according to different thinning intensities. The study site was located in Gochang-gun, Jeollabuk-do, and the treatments consisted of a control (Con), a light thinning (LT), and a heavy thinning (HT), based on 3000 trees originally planted per hectare. As stand density decreased, total C storage decreased, and the annual C storage of trees and C released through soil respiration significantly increased. Net ecosystem production (NEP; Mg·C·ha−1·year−1), as the difference between net primary production and microbial respiration, was 1.95, 2.49, and 2.11 in the Con, LT, and HT treatments, respectively; i.e., the LT stimulated greater NEP than the Con and HT treatments. While these results show that thinning decreases total C storage of forests, proper thinning enhances carbon uptake capacity. In addition, this study can be a basic reference for the effects of thinning on forest carbon cycles. Repeated measurements of each C pool should be performed over multiple years to see the exact movement patterns of forest carbon in the future.

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