Knowledge economy era is an era driven by innovation, mainly based on the input of intangible assets which plays decisive roles in the long-term development of enterprises. The product value of enterprises is largely determined by their intellectual capital. Therefore, as pillars of China’s economy, construction enterprises must strengthen their investments in intellectual capital, and to achieve competitiveness in the market, enterprises must share knowledge with the other members of their networks. This study explores the relationship among the intellectual capital, knowledge sharing, and innovation performance of construction enterprises and the mediating effect of knowledge sharing on the relationship between intellectual capital and innovation performance by using data collected from a questionnaire survey. These data are analyzed along with the aforementioned relationships by using SPSS and a structural equation model. The findings indicate that intellectual capital not only has a direct positive influence on the innovation performance of construction enterprises but also positively affects their innovation performance through knowledge sharing. This paper concludes by presenting its limitations and the implications of its findings.
Forty-one normal humans were tested with sinusoidal harmonic acceleration. Phase lag at 0.01, 0.02, and 0.04 Hz was the most stable parameter, with less test-retest variability than gain and asymmetry. There was no significant difference between men and women for phase lag, gain, or asymmetry at any of the five testing frequencies. Gain decreased as age increased. Age had no effect on phase lag at most test frequencies or on asymmetry at any frequency.
The method of insulin injection is studied by many researchers. The optimal injection method can make the blood glucose concentration of diabetic patient steadily and reduce the various complications. In this paper, we propose two control algorithms, a fuzzy-PID control and a classical PID control method for the insulin injection. The computer simulations are done using a mathematical model of the dynamics of blood glucose regulation in the blood system developed by Bergman et al. The simulation is performed to manifest the theoretical analysis. The development reported in this paper is expected to simplify the insulin delivery, thereby enhancing the quality of life of the patient.
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