Purpose: The purpose of this study is to objectively and systematically investigate the effect of Kinesio taping by organizing and analyzing the research results using effect size. Methods: A total of 1,000 papers was searched, and 100 of them were selected the first time. Afterward, the effects of taping were analyzed and classified papers that studied balance, muscle strength, and pain, and finally 34 papers were selected. The effect size was calculated using the Effect Size Calculators (University of Colorado, USA) program. Statistical analysis was performed by using PASW Statistics software version 23.0 (IBM Co., Armonk, NY, USA). Descriptive statistics were used to obtain the effect size and confidence interval for each group. Results: In a study related to balance control ability, the effect size was 1.519 in the young subjects group (20-39 years old), and the effect size in the elderly group (65 years or older) was 0.360. In a study related to muscle strength, the effect size was 0.469 in the group of young subjects and 0.250 in the middle-aged group (40-65 years old), and the effect size of the elderly group was 0.848. In the study related to pain control, the effect size was 0.469 in the young group, the effect size of the middle-aged group was 0.972, and the effect size of the elderly group was 1.040. Conclusion Kinesio taping differed in the degree of effect according to the age group of the subjects, but it was effective in balance control ability, muscle strength, and pain.

Purpose: The purpose of this study is to objectively and systematically investigate the effect of Kinesio taping by organizing and analyzing the research results using effect size. Methods: A total of 1,000 papers was searched, and 100 of them were selected the first time. Afterward, the effects of taping were analyzed and classified papers that studied balance, muscle strength, and pain, and finally 34 papers were selected. The effect size was calculated using the Effect Size Calculators (University of Colorado, USA) program. Statistical analysis was performed by using PASW Statistics software version 23.0 (IBM Co., Armonk, NY, USA). Descriptive statistics were used to obtain the effect size and confidence interval for each group. Results: In a study related to balance control ability, the effect size was 1.519 in the young subjects group (20-39 years old), and the effect size in the elderly group (65 years or older) was 0.360. In a study related to muscle strength, the effect size was 0.469 in the group of young subjects and 0.250 in the middle-aged group (40-65 years old), and the effect size of the elderly group was 0.848. In the study related to pain control, the effect size was 0.469 in the young group, the effect size of the middle-aged group was 0.972, and the effect size of the elderly group was 1.040. Conclusion Kinesio taping differed in the degree of effect according to the age group of the subjects, but it was effective in balance control ability, muscle strength, and pain.

Methods: The ensemble AI model is designed and implemented by the Hadoop ecosystem with Kafka/NiFi, Spark/Hive, HUE, and ELK (Elasticsearch, Logstash, Kibana). Results The functional evaluation shows that the main function of this SAP architecture was operated successfully.DiscussionThe proposed model is confirmed to work well with safety mobility gateways to provide some safety applications.

Methods: The ensemble AI model is designed and implemented by the Hadoop ecosystem with Kafka/NiFi, Spark/Hive, HUE, and ELK (Elasticsearch, Logstash, Kibana). Results The functional evaluation shows that the main function of this SAP architecture was operated successfully.DiscussionThe proposed model is confirmed to work well with safety mobility gateways to provide some safety applications.

Methods: The ensemble AI model is designed and implemented by the Hadoop ecosystem with Kafka/NiFi, Spark/Hive, HUE, and ELK (Elasticsearch, Logstash, Kibana). Results The functional evaluation shows that the main function of this SAP architecture was operated successfully.DiscussionThe proposed model is confirmed to work well with safety mobility gateways to provide some safety applications.

Methods: The ensemble AI model is designed and implemented by the Hadoop ecosystem with Kafka/NiFi, Spark/Hive, HUE, and ELK (Elasticsearch, Logstash, Kibana). Results The functional evaluation shows that the main function of this SAP architecture was operated successfully.DiscussionThe proposed model is confirmed to work well with safety mobility gateways to provide some safety applications.

Purpose: The purpose of this study is to confirm the effect of static stretching of the plantar flexor for 5 minutes on balance and ankle muscle activity when walking in young adults. Methods: This study experimented on 20 healthy college students without vestibular and musculoskeletal diseases. Subjects performed static stretching intervention of plantar flexor for 5 minutes on a stretch board set at 15° to 25° Balance was measured four times before intervention (pre), after intervention (post), 5 minutes after intervention (post 5 min), 10 minutes after intervention (post 10 min), and ankle muscle activity was measured during walking. For the analysis and post hoc analysis, one-way Repeated Measure ANOVA and Fisher’s LSD (Last Significant Difference) was performed to find out the change in balance and the activity of ankle muscles before static stretching, pre, post, post 5 minutes rest, post 10 minutes rest. Results: There was no significant difference in weight distribution index (WDI) in balance, but stability index (ST) showed a significant difference, and there was also a significant difference in correlation pre, post, post 5min rest, post 10 minutes rest (p < 0.05). There was no significant difference in ankle muscle activity during walking in Tibialis anterior (TA), Medial gastrocnemius (GM), and Lateral gastrocnemius (GL) (p > 0.05). Conclusion The stability index (ST) increased significantly immediately after static stretching and decreased after 5 minutes. After static stretching, at least 5 minutes of rest are required to restore balance.

Purpose: The aim of this study was to conduct a systematic review of randomized controlled studies from 2012 to present that explore the diagnostic accuracy of clinical tests used for diagnosing anterior cruciate ligament (ACL) injury. Methods: Study design: Systematic review. Literature search of the PubMed and Scholar databases was conducted using keywords related to diagnostic accuracy of clinical tests for ACL injury. The PRISMA Guidelines were followed to conduct this study. The Cochrane Risk of Bias Tool was utilized to assess the quality of each included study. Results: As a result, 8 studies were included, and 6 clinical tests used in ACL tears were evaluated for diagnostic accuracy. The pivot shift test was reported as having the highest +LR (29.5) value with a sensitivity of 59% and a specificity of 98%. However, the test with the lowest -LR value was the lever test, and the values were as follows: -LR (0.08), +LR (4.7), specificity (80%), sensitivity (94%). Conclusion In this study, it was concluded that a single clinical test is not sufficient to determine the presence of ACL injury. Test combinations have a higher diagnostic accuracy than a single test. In this study, the accuracy of the clinical tests was examined without considering the amount of ACL rupture and acute-chronic condition. Further research is required to examine the impact of these two factors on diagnostic accuracy of clinical test.

Purpose: This study aims to measure the improvement of balanced ability and rapid response of 30 healthy adults by performing dynamic stretching, static stretching, and sargent jump. Methods: The sample 30 peoples without any musculoskeletal disease who volunteered to be the subject of the study. We measured all subjects on following metrics to evaluate the function and stability under the normal condition, with dynamic stretching (DS) group, static stretching (SS) group: vertical jump height and reaching distance Anterior, Posteromedial, Posterolateral and NO (Normal eye open), NC (Normal eye close), PO (Pillow with eye open), and PC (Pillow with close eye) were evaluated. All measures were analyzed using independent t-test and One-way repeated Anova. Results: There was a significant increase in SJH (Sargent jump) in both groups (p < 0.05). In Y-balance test, there was a significant increase in both groups except for the ANT (Anterior) direction, and there was a significant increase only in the SS group in the ANT (Anterior) direction (p < 0.05). There was no significant difference between the DS group and the SS group (p > 0.05). There was no significant improvement in ST (Stability Index) and WDI (Weight Distribution Index) in both groups (p > 0.05). Conclusion Both DS and SS showed significant improvement in SJH and Y-balance tests, which are dynamic functions, but had no significant effect on static balance ability.

Purpose: The purpose of this study was to figure out how PAP (Post-Activation Potentiation) phenomenon affects short-term performance efficiently. Methods: This study was conducted with 18 Taekwondo athletes and 16 healthy adults. By using isokinetic dynamometer, two different intervention, TDP (Top-down program) and BUP (Bottom-up program), were performed to measure isokinetic parameter; (peak torque:PT, total work: TW, average power: AP, and average torque: AT) of knee extensor for intragroup, intergroup comparison and two-way ANOVA. Results: The Taekwondo athletes group showed statistically significant differences in all isokinetic parameters PT, TW, AP, and AT after TDP (p < 0.05). However, in the healthy adult group, the difference in isokinetic parameters according to the exercise sequence was not statistically significant. (p > 0.05). PT and TW at TDP were statistically significant (p < 0.05) when the rate of change in TDP and BUP was compared and analyzed considering the difference in physical ability between the Taekwondo athlete group and the healthy adult group. However, AP and AT were not statistically significant. Finally, when examining the interaction between the two groups and two exercise sequence according to isokinetic parameters, only TW (p < 0.05) showed a statistically significant interaction, while PT (P = 0.099), AP (P = 0.103), and AT (P = 0.096) did not. This study suggests that short-term performance can be improved through the PAP phenomenon when TDP is applied to the Taekwondo group. Conclusion According to our result, for Taekwondo athletes, if the goal is to improve short-term performance just before the main game, we suggest a training program through TDP.