讨论和描述了具有扩散界面的互不相溶气液两相流动的可压缩Navier-Stokes-Cahn-Hilliard(NSCH)方程组的周期边值问题,NSCH方程组中采用了van der Waals状态方程,该状态方程是关于密度非凸的刻画气液相变的经典模型。通过对压力的单调分...讨论和描述了具有扩散界面的互不相溶气液两相流动的可压缩Navier-Stokes-Cahn-Hilliard(NSCH)方程组的周期边值问题,NSCH方程组中采用了van der Waals状态方程,该状态方程是关于密度非凸的刻画气液相变的经典模型。通过对压力的单调分解并结合能量估计的方法,克服了状态方程非凸性带来的困难,得到了流体密度的上下界估计;对任意初始值(密度不含真空),证明了该问题的一维流动强解是全局存在且唯一的。结果表明,该气液相变问题不会出现激波和真空现象。展开更多
Introduction: Approximately 7.1 million US children have asthma. The burden of asthma is disproportionate with ruralUSpopulations experiencing a higher prevalence of the disease. Rural populations experience additiona...Introduction: Approximately 7.1 million US children have asthma. The burden of asthma is disproportionate with ruralUSpopulations experiencing a higher prevalence of the disease. Rural populations experience additional disparities regarding health care access, job availability, and daily living resources. Hence, the family impact of having a child with asthma may be influenced by geographic locale. This impact could be a result of health insurance tied to employment, out of pocket costs, and health care provider availability. Few studies have assessed the impact a child’s asthma has on a family. This study sought to answer the question: What is the impact of children with asthma on US rural families? Methods: Multivariate techniques were performed to examine a single year of data from two connected population-based datasets, the 2007-2008 National Survey of Children’s Health and the 2009-2010 Children with Special Health Care Needs Survey. Children with current asthma defined the study population for both datasets. A logistic regression model was performed for each database. The dependent variable for the first model was child in family currently has asthma, for the second it was rural children with current asthma. Results: The first logistic regression model confirmed that rural children were more likely to have asthma than non-rural children. The second logistic regression model yielded that rural families with a child diagnosed with asthma had greater odds of: not having health insurance, having a parent who stopped working, avoided a job change, or experienced financial problems because of the child’s health. Conclusions: This study demonstrated that rural families experience a disproportionate financial hardship as a result of their child’s asthma. Pharmacist intervention in asthma care in rural areas has the potential to decrease the financial burden for a family while also improving a child’s health.展开更多
文摘讨论和描述了具有扩散界面的互不相溶气液两相流动的可压缩Navier-Stokes-Cahn-Hilliard(NSCH)方程组的周期边值问题,NSCH方程组中采用了van der Waals状态方程,该状态方程是关于密度非凸的刻画气液相变的经典模型。通过对压力的单调分解并结合能量估计的方法,克服了状态方程非凸性带来的困难,得到了流体密度的上下界估计;对任意初始值(密度不含真空),证明了该问题的一维流动强解是全局存在且唯一的。结果表明,该气液相变问题不会出现激波和真空现象。
文摘Introduction: Approximately 7.1 million US children have asthma. The burden of asthma is disproportionate with ruralUSpopulations experiencing a higher prevalence of the disease. Rural populations experience additional disparities regarding health care access, job availability, and daily living resources. Hence, the family impact of having a child with asthma may be influenced by geographic locale. This impact could be a result of health insurance tied to employment, out of pocket costs, and health care provider availability. Few studies have assessed the impact a child’s asthma has on a family. This study sought to answer the question: What is the impact of children with asthma on US rural families? Methods: Multivariate techniques were performed to examine a single year of data from two connected population-based datasets, the 2007-2008 National Survey of Children’s Health and the 2009-2010 Children with Special Health Care Needs Survey. Children with current asthma defined the study population for both datasets. A logistic regression model was performed for each database. The dependent variable for the first model was child in family currently has asthma, for the second it was rural children with current asthma. Results: The first logistic regression model confirmed that rural children were more likely to have asthma than non-rural children. The second logistic regression model yielded that rural families with a child diagnosed with asthma had greater odds of: not having health insurance, having a parent who stopped working, avoided a job change, or experienced financial problems because of the child’s health. Conclusions: This study demonstrated that rural families experience a disproportionate financial hardship as a result of their child’s asthma. Pharmacist intervention in asthma care in rural areas has the potential to decrease the financial burden for a family while also improving a child’s health.
