EFFECTS OF FUNCTIONAL KNEE BRACE ON LOWER EXTREMITY MUSCLE ACTIVATIONS AFTER ANTERIOR CRUCIATE LIGAMENT RECONSTRUCTION

The purpose of this study was to analyze effects of functional knee brace on muscular activation of lower extremity for the ACLR athletes during single leg drop landing. Marker trajectories, ground reaction forces and EMG signals were collected and synchronized by Vicon Nexus software. Mann-Whitney U test was used to compare muscle activations of ACLR athletes when wearing knee brace verses no knee brace, and the significance level was set at a = .05. The results showed that the GM, RF and BF muscle activation levels were significant increased when wearing knee brace than no knee brace at singleleg drop jump. Wearing knee brace for ACLR athletes can help to increase activation of knee flexors and help to stabilize knee joint during dynamic situation. We suggest that knee brace could help ACLR athlete to maintain better knee stability

EFFECTS OF DIFFERENT JUMP-LANDING DIRECTIONS ON SAGITTAL PLANE KINEMATICS, KINETICS AND ENERGY DISSIPATION AT LOWER EXTREMITY JOINTS

The purpose of this study was to investigate the effects of different jump-landing directions on sagittal plane kinematics, kinetics, and energy dissipation. Subjects were required to perform a double-leg jump at three directions to a height equivalent to 50% of their maximum vertical jump height and land with single-leg and maintain balance for three seconds. Our findings indicated that landing strategy changed across different jump-landing directions in a way that maintained the same level of shock attenuation via altering body position and using the knee and ankle joints as primary dissipaters. We suggested that the knee joint showed major contributions to energy dissipation at forward and diagonal directions, and increased the use of ankle joint to dissipate energy while landing at lateral direction

EFFECTS OF INTER-JOINT COORDINATION DURING A HIGH-DEMAND ACTIVITY AFTER ANTERIOR CRUCIATE LIGAMENT RECONSTRUCTION

The purpose of this study was to investigate the pattern and variability of inter-joint coordination during a high-demand activity after anterior cruciate ligament reconstruction (ACLR). All subjects needed performed a single-leg landing followed cutting as quickly as possible. Our findings indicated that the patients with ACLR had similar patterns of interjoint coordination in performing a single leg landing and cutting comparing to the age, sex, body weight and sport-matched healthy subjects. Assessing the inter-joint coordination as well as facilitating the coordination in clinical treatments might improve the high-demand activities on ACLR subjects

Knowledge Discovery Model in Chinese Industrial News

With prevalence of Internet, users can easily retrieve the information what they want from Internet. Information explosion shows that efficient information summarization is aspired to all users. Therefore, an efficient knowledge management methodology becomes very important. Some technologies, such as text mining, for acquiring knowledge from huge amount of electronic documents are recognized as important technology in this field. This work focuses on text-mining applications on Chinese industrial news and knowledge discovery. We use information extract method to extract news into companies, event keyword, time, location, and person categories based on the characteristics of news. The set of five extracted categories is called information template. The templates are summarized by rule induction. We can discover unexpected knowledge from these summarized rules. We built an integrated industrial news text-mining model by using induction rule learner. This model is suitable to manipulate rules in bag-of-word form. Furthermore, we proposed interestingness to measure interesting strength of rules. The users can analyze the discovered rules based this measure. These are helpful to discover unexpected knowledge. It is meaningful to commercial activities if we can discover valuable rules. Besides industrial news application, we believe this model is suitable for knowledge discovery application in other fields