conclusions more than half of the patients were disabled after 3 months of trauma. elderly patients, patient with severe trauma, and long hospitalization and patients with extremity injuries were high risk for disability. results the mean disability scores at 1 and 3 months post-injury was 30.3 (9.2) and 18.8 (8.3), respectively and there was a statistical significant difference between disabil...

– Objective: To “track” the return of the best possible constant percentage allocation of wealth (a.k.a. constant rebalanced portfolio (CRP)) chosen with knowledge of future asset returns – Algorithm: Return-weighted average of all CRPs – Main Assumptions: No statistical assumptions are made on asset returns; asymptotic analysis, however, requires several sequence-based assumptions on asset ret...

return maximization or risk minimization is goal in portfolio optimization based on mean variance theory. the structure of correlation matrices and individual variance of each asset are two main factors in optimization with risk minimization object. it’s necessary to use appropriate variance and correlation coefficient for time series with clustering volatilities feature, too. in this research,...

The indicators used in economics to calculate the productivity scale are not always positive, therefore, existing models need to be developed to calculate the productivity scale for the semi-negative and semi-positive output index. However, companies with a lack of capacity need to achieve economies of scale and demand for realization simultaneously in the presence of a negative outflow index, ...

We propose manifold piecewise constant systems (ab. MPC) and consider basic phenomena: the 2-D, 3-D and 4-D MPCs exhibit limit-cycle, line-expanding chaos and areaexpanding chaos, respectively. The righthand side of the state equation is piecewise-constant, hence the system dynamics can be simplified into a piecewise-linear return map which can be expressed explicitly. In order to analyze the p...

Multi-Scale Singularity Trees (MSSTs) represents the deep structure of images in scale-space and provide both the connections between image features at different scales and their strengths. In this report we present and evaluate an algorithm that exploits the MSSTs for image matching. Two versions of the algorithm is presented: an exact and an approximation. Several experiments are conducted to...