This study was conducted to find out the optimal solvent extraction method [Distilled water (DW), 70% ethanol, 99% ethanol] of mushrooms, including Pleurotus ostreatus (Jacq.) Que, Pleurotus eryngii and Flammulina velutipes and improve their usability as natural antioxidants. To analyze antioxidant activities in each mushroom, total polyphenol, flavonoid contents, 2,2-Diphenyl-1-picrylhydrazyl (DPPH), 2,2?-azinobis(3-ethylbenzothiazoline-6-sulfonic acid) cation radical (ABTS+) and fluorescence recovery after photobleaching (FRAP) were measured. All mushrooms showed the highest total polyphenol contents in DW mushroom extract (p<0.001). Total flavonoid contents were the highest in P. eryngii and F. velutipes DW and 70% ethanol mushroom extracts (p<0.05). All mushrooms showed the highest activities using DPPH and FRAP assays in the DW extraction method (p<0.001). P. ostreatus (Jacq.) Que and P. eryngii showed the highest ABTS+ radical scavenging activity in the DW extraction method, and F. velutipes showed the highest activity in the 70% ethanol extraction method (p<0.001). As a result of comparing IC50 values of DPPH and ABTS+ radicals and FRAP EC50 values, the DW P. ostreatus (Jacq.) Que extract showed high antioxidant activities (p<0.001). Pearson's correlation between total polyphenol contents and antioxidant activities showed a positive correlation in all mushrooms (p<0.01). Therefore, extraction of the mushrooms with DW can enhance the extraction of effective bioactive substances and antioxidant activity.

In this paper, we propose dead pixel detection and compensation method using nonlinear estimator for infrared camera. Infrared camera has dead pixel that is abnormal output values due to complex factors such as manufacturing process, electronic parts and so on. Dead pixels are able to affect detecting a small target. So, It needs detection and Compensation process. However, after Compensation, some dead pixels are remained and detected by the human. They are soft dead pixel. The key idea of this proposed method, detecting soft dead pixels, is that design a nonlinear estimator using image data characteristics. This propose is able to not only detect soft dead pixels but also pixel Compensation that reflects infrared camera output characteristics well.

Background: Anterior cruciate ligament reconstruction (ACLR) causes a reduction in the balance of the lower extremities. Static and dynamic balance were evaluated separately to confirm the decrease in balance in patients underwent ACLR. The commonly used methods include the Biodex Balance System (BBS) for static balance and the Y balance test (YBT) for dynamic balance. No study has evaluated whether the static and dynamic balance of the involved side recovers as much as the uninvolved side one year after ACLR. Objects: The purpose of this study was to investigate the recovery of static and dynamic balance between the involved and the uninvolved sides. Methods: The BBS (overall, anteroposterior index, and mediolateral index) and YBT (anterior, posterolateral, and posteromedial) of 58 patients underwent ACLR were measured one year postoperation. Both sides of the BBS and the YBT were compared using the paired t-test. Results: All the index of the BBS showed no difference between the involved and the uninvolved sides, while all the scores of the YBT showed a significant difference in both sides. The YBT anterior result was 54.64 ± 5.62 cm in the involved side and 56.90 ± 5.41 cm in the uninvolved side (p = 0.001). The YBT posterolateral results were 90.12 ± 10.51 cm and 92.34 ± 9.85 cm (p = 0.013). The YBT posteromedial results were 93.72 ± 8.84 cm and 96.14 ± 9.37 cm (p = 0.002). Conclusion: A year after ACLR, the static balance showed no difference, while the dynamic balance showed a significant difference in the involved and the uninvolved sides. The static balance of the involved side recovered as much as the uninvolved side, but the dynamic balance did not. Therefore, dynamic balance training should be considered in the rehabilitation program for patients underwent ACLR.