Although little is known about the current situation regarding autism spectrum disorder(ASD)in main land China,psychiatric disorders are common among Chinese mothers of preschool children with ASD.Previous studies sho...Although little is known about the current situation regarding autism spectrum disorder(ASD)in main land China,psychiatric disorders are common among Chinese mothers of preschool children with ASD.Previous studies showed ASD child's behavioral symptoms,maternal anxiety,and maternal depressive symptoms were associated with overall parenting stress in northern China.In the present study,we retrospectively analyzed medical records at the hospital related to neuropsychiatric symptoms,parenting stress and social support in mothers of children with ASD from southern China.A total of 80 mothers of children with ASD were screened.Among them,34 mothers were in low-functioning ASD group(L-ASD group)and 46 mothers were in highfunctioning ASD group(H-ASD group).Identification of the ASD cases was confirmed with a Revised Autism Diagnostic Inventory.Neuropsychiatric symptoms,parenting stress and social support were measured by neuropsychiatric inventory(NPI),parenting stress index short form(PSISF),and multi-dimensional scale of perceived social support(MSPSS).Total mean score of the NPI in the L-ASD group was significantly higher than that in the H-ASD group(P<0.01).The subscale scores of NPI,including depression,anxiety,apathy,irritability,agitation,night time behavior disturbances and change in appetite were significantly higher in the L-ASD group than those in the H-ASD group(P<0.01 or P<0.05).Meanwhile,the total PSI-SF scores and the scores of parental distress(PD),parental-child dysfunctional interaction(PCDI)and difficult child(DC)in the L-ASD group were significantly higher than those in the H-ASD group(P<0.01 or P<0.05).The total score of MSPSS was also higher in the L-ASD group than in the H-ASD group(P<0.01).This study goes further to show the neuropsychiatric symptoms and parenting stress are significantly higher in mothers of children with ASD,and more social supports are needed for mothers of children with ASD from southern China,especially for mothers of children with low-functioning ASD.展开更多
Rainfall forecasting is becoming more and more significant and precipitation anomalies would lead to droughts and floods disasters.However,because of the complexity and non-stationary of rainfall data,it is difficult ...Rainfall forecasting is becoming more and more significant and precipitation anomalies would lead to droughts and floods disasters.However,because of the complexity and non-stationary of rainfall data,it is difficult to forecast.In this paper,a novel hybrid model to forecast rainfall is developed by incorporating singular spectrum analysis (SSA) and dragonfly algorithm (DA) into support vector regression (SVR) method.Firstly,SSA is used for extracting the trend components of the hydrological data.Then,SVR is utilized to deal with the volatility and irregularity of the precipitation series.Finally,the parameter of SVR is optimized by DA.The proposed SSA-DA-SVR method is used to forecast the monthly precipitation for Songbai,Panshui,Lanma and Jiulongchi stations.To validate the efficiency of the method,four compared models,DA-SVR,SSA-GWO-SVR,SSA-PSO-SVR and SSA-CS-SVR are established.The result shows that the proposed method has the best performance among all five models,and its prediction has high precision and accuracy.展开更多
In this paper, a new spatial coherence model of seismic ground motions is proposed by a fitting procedure. The analytical expressions of modal combination （correlation） coefficients of structural response are develo...In this paper, a new spatial coherence model of seismic ground motions is proposed by a fitting procedure. The analytical expressions of modal combination （correlation） coefficients of structural response are developed for multi-support seismic excitations. The coefficients from both the numerical integration and analytical solutions are compared to verify the accuracy of the solutions. It is shown that the analytical expressions of numerical modal combination coefficients are of high accuracy. The results of random responses of an example bridge show that the analytical modal combination coefficients developed in this paper are accurate enough to meet the requirements needed in practice. In addition, the computational efficiency of the analytical solutions of the modal combination coefficients is demonstrated by the response computation of the example bridge. It is found that the time required for the structural response analysis by using the analytical modal combination coefficients is less than 1/20 of that using numerical integral methods.展开更多
文摘Although little is known about the current situation regarding autism spectrum disorder(ASD)in main land China,psychiatric disorders are common among Chinese mothers of preschool children with ASD.Previous studies showed ASD child's behavioral symptoms,maternal anxiety,and maternal depressive symptoms were associated with overall parenting stress in northern China.In the present study,we retrospectively analyzed medical records at the hospital related to neuropsychiatric symptoms,parenting stress and social support in mothers of children with ASD from southern China.A total of 80 mothers of children with ASD were screened.Among them,34 mothers were in low-functioning ASD group(L-ASD group)and 46 mothers were in highfunctioning ASD group(H-ASD group).Identification of the ASD cases was confirmed with a Revised Autism Diagnostic Inventory.Neuropsychiatric symptoms,parenting stress and social support were measured by neuropsychiatric inventory(NPI),parenting stress index short form(PSISF),and multi-dimensional scale of perceived social support(MSPSS).Total mean score of the NPI in the L-ASD group was significantly higher than that in the H-ASD group(P<0.01).The subscale scores of NPI,including depression,anxiety,apathy,irritability,agitation,night time behavior disturbances and change in appetite were significantly higher in the L-ASD group than those in the H-ASD group(P<0.01 or P<0.05).Meanwhile,the total PSI-SF scores and the scores of parental distress(PD),parental-child dysfunctional interaction(PCDI)and difficult child(DC)in the L-ASD group were significantly higher than those in the H-ASD group(P<0.01 or P<0.05).The total score of MSPSS was also higher in the L-ASD group than in the H-ASD group(P<0.01).This study goes further to show the neuropsychiatric symptoms and parenting stress are significantly higher in mothers of children with ASD,and more social supports are needed for mothers of children with ASD from southern China,especially for mothers of children with low-functioning ASD.
文摘Rainfall forecasting is becoming more and more significant and precipitation anomalies would lead to droughts and floods disasters.However,because of the complexity and non-stationary of rainfall data,it is difficult to forecast.In this paper,a novel hybrid model to forecast rainfall is developed by incorporating singular spectrum analysis (SSA) and dragonfly algorithm (DA) into support vector regression (SVR) method.Firstly,SSA is used for extracting the trend components of the hydrological data.Then,SVR is utilized to deal with the volatility and irregularity of the precipitation series.Finally,the parameter of SVR is optimized by DA.The proposed SSA-DA-SVR method is used to forecast the monthly precipitation for Songbai,Panshui,Lanma and Jiulongchi stations.To validate the efficiency of the method,four compared models,DA-SVR,SSA-GWO-SVR,SSA-PSO-SVR and SSA-CS-SVR are established.The result shows that the proposed method has the best performance among all five models,and its prediction has high precision and accuracy.
基金National Natural Science Foundation of China Under Grant No. 50478112
文摘In this paper, a new spatial coherence model of seismic ground motions is proposed by a fitting procedure. The analytical expressions of modal combination （correlation） coefficients of structural response are developed for multi-support seismic excitations. The coefficients from both the numerical integration and analytical solutions are compared to verify the accuracy of the solutions. It is shown that the analytical expressions of numerical modal combination coefficients are of high accuracy. The results of random responses of an example bridge show that the analytical modal combination coefficients developed in this paper are accurate enough to meet the requirements needed in practice. In addition, the computational efficiency of the analytical solutions of the modal combination coefficients is demonstrated by the response computation of the example bridge. It is found that the time required for the structural response analysis by using the analytical modal combination coefficients is less than 1/20 of that using numerical integral methods.
