EFFECT OF THE KINESIO-TAPING ON FEMALE ATHLETES DURING THE STOP-JUMP TASK POST-FATIGUE

The aim of this study was to investigate the effect of Kinesio taping (KT) by fatigue intervention, on stop-jump task. Eleven female athletes served as subject. Two force plates and ten cameras were synchronized to capture the stop-jump task. We found larger peak hip flexion angular velocity and lower jump height, at touch down after fatigue intervention. When without taping, peak vertical loading rate was increased. After taping, we found delayed time of peak hip flexion angle and peak anterior-posterior force, smaller peak vertical force and vertical impulse within 50 ms at landing phase, along with delayed time of peak vertical force after fatigue. It concluded that KT can decrease the load in landing on knee whether fatigue or not, but has no acute effect on enhancing performance. We recommend that KT be applied on intense exercises with repeated jumping

Dynamic Power Index Adjustment Based On Battery Level

This disclosure describes techniques for dynamic adjustment of output power index of a wireless remote controller device based on a detected battery level of the device. The battery voltage level of the device is periodically measured. When the level falls below a predetermined threshold, the output power index is adjusted to ensure that the total transmit power from the controller device lies within a specified range. Dynamic adjustment of transmit power via the power index adjustment enables the controller device to have a transmit power that lies between the power spectral distribution (PSD) target and the PSD limit (maximum) over a range of battery voltage values

Automatic Emergency Dust-Free solution on-board International Space Station with Bi-GRU (AED-ISS)

With a rising attention for the issue of PM2.5 or PM0.3, particulate matters have become not only a potential threat to both the environment and human, but also a harming existence to instruments onboard International Space Station (ISS). Our team is aiming to relate various concentration of particulate matters to magnetic fields, humidity, acceleration, temperature, pressure and CO2 concentration. Our goal is to establish an early warning system (EWS), which is able to forecast the levels of particulate matters and provides ample reaction time for astronauts to protect their instruments in some experiments or increase the accuracy of the measurements; In addition, the constructed model can be further developed into a prototype of a remote-sensing smoke alarm for applications related to fires. In this article, we will implement the Bi-GRU (Bidirectional Gated Recurrent Unit) algorithms that collect data for past 90 minutes and predict the levels of particulates which over 2.5 micrometer per 0.1 liter for the next 1 minute, which is classified as an early warningComment: 11 pages, 5 figures, and 1 tabl