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Based on anecdotal observations that limb mobility improved just after microelectrode recording (MER) during deep brain stimulation (DBS) procedures, we designed a prospective study to measure upper extremity bradykinesia using a quantitative measure of angular velocity.
Based on our previous experience in regional anesthesia for laparoscopic procedures, we designed a pilot study to assess the feasibility and safety of performing laparoscopic TAPP repair under spinal anesthesia.
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The shear-thinning behaviour of this self-setting system was confirmed using the injectability system and a procedure we designed.
In response to the limitations with respect to the practical application shown in the previous procedure, we designed a revised version of this method, based on maximum likelihood estimation.
To investigate the biomechanical effects after the Nuss procedure, we designed a three-dimensional finite element analysis model to analyze the distribution of stress and strain induced in the chest wall.
The specific difference between the proposed scheme and the existing schemes in [3, 6, 9 17] is the decision making procedure; we designed a new embedded game model for the F-RAN system.
To create a simple and quick 2b-RAD library approach with pooling procedure, we designed two kinds of adapters.
In order to reduce the time complexity of the indoor positioning procedure, we design a close designated location set (CDLS) algorithm that only uses the designated locations with the similar footprints of current user's position to determine the user's location.
For the economic analysis we plan a cost-minimisation procedure, as we designed a non-inferior trial and expect no differences in outcomes.
In addition, to enhance the efficiency of classification procedure, we design a low-rank structured collaborative representation classification scheme for MLSDL.
In addition, to enhance efficiency of the classification procedure, we design a classification scheme for MLDL, which is based on the idea of collaborative representation based classification.
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