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Effect of Micronutrient Supplementation on the Growth of Preschool Children in China
Han, Junhua,Yang, Yuexin,Shao, Xiaoping,He, Mei,Bian, Lihua,Wang, Zhu The Korean Nutrition Society 2002 Nutritional Sciences Vol.5 No.3
The purpose of this study was to investigate the effects of micronutrient supplementation on the growth of preschool children in China. A double-blind, placebo-controlled trial was conducted on 156 growth retarded preschool children who were randomly assigned to the following five groups : supplemental control (S-control; n=28); zinc supplementation (+Zn; 3.5mg Zn/day, n=34); zinc and calcium supplementation (+ZnCa; 3.5mg Zn + 250mg Ca/day, n=37); zinc, calcium and vitamin A supplementation (+ZnCaVA; 3.5mgZn + 250mgCa + 200gVA/day, n=28); and calcium and vitamin A supplementation (+CaVA; 250mgCa + 200gVA/day, n=29). Another 34 children of normal height were selected as a normal control (N-control). Supplementation continued for twelve months. After supplementation, the height gains in the +Zn group (7.84cm per year) and the +ZnCa group (7.70 cm per year) were significantly higher than that in the S-control group (6.74 cm per year, P<0.05). The weight gain in the +ZnCaVA group (2.55kg per year) and the +CaVA group (2.57 kg per year) was also significantly higher than that in the S-control group (2.19 kg per year, P<0.05). The average number of days of illness in each group taking supplements was lower than that in the S-control group (13 days per year compared with 23 days per year). No significant differences in bone maturity were observed between the groups. In conclusion, in this study Zinc and Zinc + Calcium supplementation improved the height gain, and vitamin A improved the weight gain, in growth retarded preschool children, but these supplements did not affect the maturity of bone. Micronutrient supplementation also lowered the morbidity of these children.
Parameter Identification of 3R-C Equivalent Circuit Model Based on Full Life Cycle Database
Yanbo Che,Jingjing Jia,Yuexin Yang,Shaohui Wang,Wei He 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.4
The energy density, power density and ohm resistance of battery change significantly as results of battery aging, which lead to decrease in the accuracy of the equivalent model. A parameter identification method of the equivale6nt circuit model with 3 R-C branches based on the test database of battery life cycle is proposed in this paper. This database is built on the basis of experiments such as updating of available capacity, charging and discharging tests at different rates and relaxation characteristics tests. It can realize regular update and calibration of key parameters like SOH, so as to ensure the reliability of parameters identified. Taking SOH, SOC and T as independent variables, lookup table method is adopted to set initial value for the parameter matrix. Meanwhile, in order to ensure the validity of the model, the least square method based on variable forgetting factor is adopted for optimizing to complete the identification of equivalent model parameters. By comparing the simulation data with measured data for charging and discharging experiments of Li-ion battery, the effectiveness of the full life cycle database and the model are verified.
Parameter Identification of 3R-C Equivalent Circuit Model Based on Full Life Cycle Database
Che, Yanbo,Jia, Jingjing,Yang, Yuexin,Wang, Shaohui,He, Wei The Korean Institute of Electrical Engineers 2018 Journal of Electrical Engineering & Technology Vol.13 No.4
The energy density, power density and ohm resistance of battery change significantly as results of battery aging, which lead to decrease in the accuracy of the equivalent model. A parameter identification method of the equivale6nt circuit model with 3 R-C branches based on the test database of battery life cycle is proposed in this paper. This database is built on the basis of experiments such as updating of available capacity, charging and discharging tests at different rates and relaxation characteristics tests. It can realize regular update and calibration of key parameters like SOH, so as to ensure the reliability of parameters identified. Taking SOH, SOC and T as independent variables, lookup table method is adopted to set initial value for the parameter matrix. Meanwhile, in order to ensure the validity of the model, the least square method based on variable forgetting factor is adopted for optimizing to complete the identification of equivalent model parameters. By comparing the simulation data with measured data for charging and discharging experiments of Li-ion battery, the effectiveness of the full life cycle database and the model are verified.