3,447 research outputs found

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

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    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

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    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

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    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

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    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

    ANALYSIS OF TRUNK ROTATION PATTERNS WHEN SWINGING AT DIFFERENT SPEEDS: A PILOT STUDY

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    As the trunk plays a vital role during the golf full swing, it is important to understand how body movements affect the golf swing. The purpose of this study was to determine how golfers increase club head speed through trunk rotation. Trunk rotation patterns were captured by 3D motion capture system at 250 Hz. To investigate the effective factors of increasing club head speed, we compared two situations, swing at normal club head speed and at accelerated club head speed, via the trunk rotation angles at three dimensions through six temporary events. The results showed that subtle differences between normal club head speed and accelerated club head speed. To increase club head speed, golfers might optimize the separation between shoulder and pelvic in the early downswing

    EFFECTS OF WHOLE BODY VIBRATION TRAINING ON KNEE EXTENSOR MUSCLE STRENGTH AND RATE OF FORCE DEVELOPMENT

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    This study compared the effects of 8-week whole-body vibration (WBV) training programs on knee extensor muscle strength and rate of force development. Twenty physically active male subjects were randomly assigned to a whole-body vibration training group (WBV; n =10) or a sham training group (SHAM; n = 10). Maximal voluntary isometric joint moment, rate of force development (RFD) and contractile impulse of the knee extensors were assessed before and after the training period. There were significant differences between WBV and sham groups on improvement percentage of maximum joint moment, RFD and contractile impulse in knee extensor. We concluded that not only knee extensor muscle strength could be enhanced but also muscle contractile abilty could be faster after a 8-week WBV training program

    When Social Influence Meets Item Inference

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    Research issues and data mining techniques for product recommendation and viral marketing have been widely studied. Existing works on seed selection in social networks do not take into account the effect of product recommendations in e-commerce stores. In this paper, we investigate the seed selection problem for viral marketing that considers both effects of social influence and item inference (for product recommendation). We develop a new model, Social Item Graph (SIG), that captures both effects in form of hyperedges. Accordingly, we formulate a seed selection problem, called Social Item Maximization Problem (SIMP), and prove the hardness of SIMP. We design an efficient algorithm with performance guarantee, called Hyperedge-Aware Greedy (HAG), for SIMP and develop a new index structure, called SIG-index, to accelerate the computation of diffusion process in HAG. Moreover, to construct realistic SIG models for SIMP, we develop a statistical inference based framework to learn the weights of hyperedges from data. Finally, we perform a comprehensive evaluation on our proposals with various baselines. Experimental result validates our ideas and demonstrates the effectiveness and efficiency of the proposed model and algorithms over baselines.Comment: 12 page
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