PURPOSE: This study was done to investigate the point prevalence of postpartum depression and its predictors during early postpartum in mother of preterm infants.METHODS: Participants were 101 women, 2-3 weeks after delivery whose preterm babies were hospitalized in a neonatal intensive care unit. Data were collected from June 2010 to January 2011. The instruments included 'Edinburgh Postnatal Depression Scale', 'Prenatal depression', 'Subjective health status of infant', 'Medical staff support', and 'Husband support'. Collected data were analyzed using t-test, chi2-test, and multiple logistic regression with SPSS/WIN version 18.0.RESULTS: The point prevalence was 86.1% that postpartum depression occurred during the early postpartum period in mothers of preterm infants. Three significant predictors of postpartum depression in mothers of preterm infants were identified; 'Type of delivery (OR, 5.57; 95% CI, 1.25-24.77)', 'Subjective health status of infant (OR, 0.34; 95% CI, 0.16-0.70)', and 'Medical staff support (OR, 0.52; 95% CI, 0.28-0.97)'.CONCLUSION: The results indicate that postpartum mothers should be screened for postpartum depression early in the postpartum period and that, medical personnel should pay particular attention to mothers with a caesarean section and should help mothers of preterm babies to develop positive perceptions of their babies.
Purpose: The purpose of this study is to design an experimental simulation model for evaluating the UGV(Unmanned Ground Vehicle) effectiveness in a small unit combat scenario.
Methods:We design and build a simulation model to evaluate the combat effectiveness of UGV in a small unit combat scenario. In order to build a simulation model, we used AnyLogic software tool which has functional advantages to describe agent-based simulation model. As for the combat scenario, we applied the typical engagement of mechanized unit equal or lower than battalion level. Analysis process follows the three phases. 1) Design an agent based conceptual medel in a small unit combat scenario. 2) Build a simulation medel using AnyLogic tool. 3) Analyze the simulation results and evaluate the UGV effectiveness.Results: The UGV effectiveness was measured and presented as a numeric values. Those numeric values were represented as a MOE(Measure of Effectiveness) which was the blue survival ratio.
Conclusion:We developed an agent based simulation model which can provide a pattern of change how UGV effectiveness varied depending upon the number of UGV in a small unit combat scenario. We also found that the UGV effectiveness grows in the given scenario as the number of UGV increases.
The three-down one-up method which is commonly used in the field of psychophysics is employed in this study that is to reveal how much magnitude of vibration makes discomfort in passenger vehicle on idle condition. Thirteen taxi drivers were invited for subject of the experiment where they evaluated the controlled vibrations on rigid seat in terms of idle vibration on passenger vehicle at frequency range from 15 Hz to 40 Hz. As the result, vibration of 100~105 dB is marginal range to make discomfort on passenger seat. Frequency dependency of the discomfort was found at the frequency range, which is the higher frequency the lower discomfort with the same magnitude of vibration. The frequency dependency found here was compared with ISO 2631-1 that is more sensitive at the frequency range.
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