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In this study, signal processing approaches and nonlinear identification are used to measure seismic responses of reinforced concrete (RC) structures using the shaking table test. To analyze structural nonlinearity, an equivalent linear system with time-varying model parameters, singular spectrum analysis to elucidate residual deformation, and wavelet packet transformation analysis to yield the energy distribution among components are adopted to detect the nonlinearity. Then, damage feature extraction is conducted using both the Holder exponent and the Level-1 detail of the discrete wavelet component. Finally, the modified Bouc-Wen hysteretic model and the system identification process are employed to the shaking table test data to evaluate the physical parameters, including the stiffness degradation, the strength deterioration and the pinching hysteresis. Finally, the identified stiffness and strength degradation functions from the test data of RC frames in relation to the degree of ground shaking, damage index and the identified nonlinear features are discussed. Based on the proposed method, both signal-based and modelbased identifications, the relationship between the damage occurrence and severity of structural damage can be identified. Figure 9. (a) Comparison of Inter-story drift ratio, the Holder exponent, Level-1 detail component and residuals estimated from SSA with respect to time from response data of RCF6. Correlation of singularities is identified among different analyses; (b) comparison of Inter-story drift ratio, the Holder exponent, Level-1 detail component and residuals estimated from SSA with respect to time from response data of RCF2. Correlation of singularities is identified among different analyses; and (c) comparison of the Inter-story drift ratio, the Holder exponent, Level-1 detail component and residuals estimated from SSA with respect to time from response data of RCF4. Correlation of singularities is identified among different analyses.To quantify the damage to these four RC frames, the hysteretic model parameters were evaluated from the load-displacement data of the RC frame. The original rough data were not used; rather, the SSA method was applied to filter out the high-frequency components (>20.0 Hz) of the recorded

a b s t r a c tWe report the discovery of strong correlations between protein coding regions and the prediction errors when using the simple recurrent network to segment genome sequences. We are going to use SARS genome to demonstrate how we conduct training and derive corresponding results. The distribution of prediction error indicates how the underlying hidden regularity of the genome sequences and the results are consistent with the finding of biologists: predicated protein coding features of SARS genome. This implies that the simple recurrent network is capable of providing new features for further biological studies when applied on genome studies. The HA gene of influenza A subtype H1N1 is also analyzed in a similar way.

One aspect of visual perspective taking (VPT) is the ability to switch between perspectives associated with self and others. Attenuated inhibition of the egocentric perspective is thought to underlie perspective taking difficulties in older adults leading to impaired social function. 117 adults (50 older adults 55-79 years; 67 young adults 18-36 years) completed two visual perspective taking tasks. The first task measured perspective tracking and required participants to understand what can be seen from the egocentric or allocentric perspective. The second measured perspective taking and required understanding how objects are seen from the egocentric or allocentric perspective. Both tasks involved trials that were congruent or incongruent between the two perspectives in order to assess how the other perspective interferes with the task-relevant perspective. Trials were further separated into those that required switching (preceding perspective was different to current) or sticking (preceding perspective was the same). We show an egocentric switch cost during perspective tracking in younger adults thought to reflect inhibition of the default egocentric perspective in the preceding trial. However, this effect was not identified in older adults. Moreover, older adults showed greater interference from their own perspective when required to stick with the allocentric perspective. No age differences were identified during perspective taking with both age groups showing an egocentric switch cost and an allocentric stick cost. The results provide evidence for age-related changes in VPT that are dependent on the requirement to switch or stick perspectives. Increased egocentricity in older adults is apparent but dependent on the switch-related context.

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