BACKGROUND Postpartum depression(PPD)not only affects the psychological and physiological aspects of maternal health but can also affect neonatal growth and development.Partners who are in close contact with parturien...BACKGROUND Postpartum depression(PPD)not only affects the psychological and physiological aspects of maternal health but can also affect neonatal growth and development.Partners who are in close contact with parturient women play a key role in communication and emotional support.This study explores the PPD support relationship with partners and its influencing factors,which is believed to establish psychological well-being and improve maternal partner support.AIM To explore the correlation between PPD and partner support during breastfeeding and its influencing factors.METHODS Convenience sampling was used to select lactating women(200 women)who underwent postpartum examinations at the Huzhou Maternity and Child Health Care Hospital from July 2022 to December 2022.A cross-sectional survey was conducted on the basic information(general information questionnaire),depression level[edinburgh postnatal depression scale(EPDS)],and partner support score[dyadic coping inventory(DCI)]of the selected subjects.Pearson’s correlation analysis was used to analyze the correlation between PPD and DCI in lactating women.Factors affecting PPD levels during lactation were analyzed using multiple linear regression.RESULTS The total average score of EPDS in 200 lactating women was(9.52±1.53),and the total average score of DCI was(115.78±14.90).Dividing the EPDS,the dimension scores were:emotional loss(1.91±0.52),anxiety(3.84±1.05),and depression(3.76±0.96).Each dimension of the DCI was subdivided into:Pressure communication(26.79±6.71),mutual support(39.76±9.63),negative support(24.97±6.68),agent support(6.87±1.92),and joint support(17.39±4.19).Pearson’s correlation analysis demonstrated that the total mean score and individual dimension scores of EPDS during breastfeeding were inversely correlated with the total score of partner support,stress communication,mutual support,and cosupport(P<0.05).The total mean score of the EPDS and its dimensions were positively correlated with negative support(P<0.05).Multiple linear regression analysis showed that the main factors affecting PPD during breastfeeding were marital harmony,newborn health,stress communication,mutual support,negative support,cosupport,and the total score of partner support(P<0.05).CONCLUSION PPD during breastfeeding was associated with marital harmony,newborn health,stress communication,mutual support,negative support,joint support,and the total DCI score.展开更多
This study used the synthetic running correlation coefficient calculation method to calculate the running correlation coefficients between the daily sea ice concentration(SIC) and sea surface air temperature(SSAT) in ...This study used the synthetic running correlation coefficient calculation method to calculate the running correlation coefficients between the daily sea ice concentration(SIC) and sea surface air temperature(SSAT) in the Beaufort-Chukchi-East Siberian-Laptev Sea(BCEL Sea), Kara Sea and southern Chukchi Sea, with an aim to understand and measure the seasonally occurring changes in the Arctic climate system. The similarities and differences among these three regions were also discussed. There are periods in spring and autumn when the changes in SIC and SSAT are not synchronized, which is a result of the seasonally occurring variation in the climate system. These periods are referred to as transition periods. Spring transition periods can be found in all three regions, and the start and end dates of these periods have advancing trends. The multiyear average duration of the spring transition periods in the BCEL Sea, Kara Sea and southern Chukchi Sea is 74 days, 57 days and 34 days, respectively. In autumn, transition periods exist in only the southern Chukchi Sea, with a multiyear average duration of only 16 days. Moreover, in the Kara Sea, positive correlation events can be found in some years, which are caused by weather time scale processes.展开更多
The problem of optimal linear estimation of the functional Aξ =10^∞a（t）ζ（（t）dt depending on the unknown values of periodically correlated stochastic process ζ（t） from observations of this process for t 〈 0...The problem of optimal linear estimation of the functional Aξ =10^∞a（t）ζ（（t）dt depending on the unknown values of periodically correlated stochastic process ζ（t） from observations of this process for t 〈 0 is considered. Formulas that determine the greatest value of mean square error and the minimax estimation for the functional are proposed for the given class of admissible processes. It is shown that one-sided moving average stationary sequence gives the greatest value of the mean square error.展开更多
传统周期模式挖掘忽略了模式本身的相关性和时效性,导致获取到一些实用价值有限的弱相关且时效性较低的模式。因此,提出了新颖的基于时效性和相关性约束的周期模式挖掘方法(correlation and recency periodic frequent pattern-breadth ...传统周期模式挖掘忽略了模式本身的相关性和时效性,导致获取到一些实用价值有限的弱相关且时效性较低的模式。因此,提出了新颖的基于时效性和相关性约束的周期模式挖掘方法(correlation and recency periodic frequent pattern-breadth first search,CRPFP-BFS)和(correlation and recency periodic frequent pattern-depth first search,CRPFP-DFS)。将给定的数据库压缩到一个列式结构的列表CRPFP-List中,CRPFP-BFS和CRPFP-DFS分别采用广度优先和深度优先搜索方式递归地进行挖掘,同时利用支持度、周期、时效性以及相关性剪枝策略减少搜索空间,以有效地发现相关时效周期模式。与当前最先进算法在密集数据集和稀疏数据集上进行对比实验,结果表明CRPFP-BFS和CRPFP-DFS具有较低的内存占用和更高的运行效率,并且具有良好的可扩展性,其中CRPFP-DFS适合于内存要求严格的情况,CRPFP-BFS在长事务稀疏数据集下的运行效率更高。展开更多
针对综采工作面周期来压预测的技术难题,研究了理论分析、数据采集与预处理、模型评估与优化等方法,提出了具有时空关联分析与POI(Point of Intersesting)数据的ConvLSTM模型,利用多源数据融合得到周期来压预测的最优解,实现工作面环境...针对综采工作面周期来压预测的技术难题,研究了理论分析、数据采集与预处理、模型评估与优化等方法,提出了具有时空关联分析与POI(Point of Intersesting)数据的ConvLSTM模型,利用多源数据融合得到周期来压预测的最优解,实现工作面环境状态的实时感知和预测。试验结果表明:基于POI-ConvLSTM的工作面周期来压预测模型,均方误差为0.159,R 2评价指标为0.999,相比于Seq2Seq和ConvLSTM模型的均方误差分别降低了68.07%和4.22%。可见,融合了多元数据POI-ConvLSTM模型的预测精度更高,普适性更强,能够准确地提前预测周期来压问题。展开更多
基金Supported by Medical Health Science and Technology Project of Huzhou City,No.2022GY41.
文摘BACKGROUND Postpartum depression(PPD)not only affects the psychological and physiological aspects of maternal health but can also affect neonatal growth and development.Partners who are in close contact with parturient women play a key role in communication and emotional support.This study explores the PPD support relationship with partners and its influencing factors,which is believed to establish psychological well-being and improve maternal partner support.AIM To explore the correlation between PPD and partner support during breastfeeding and its influencing factors.METHODS Convenience sampling was used to select lactating women(200 women)who underwent postpartum examinations at the Huzhou Maternity and Child Health Care Hospital from July 2022 to December 2022.A cross-sectional survey was conducted on the basic information(general information questionnaire),depression level[edinburgh postnatal depression scale(EPDS)],and partner support score[dyadic coping inventory(DCI)]of the selected subjects.Pearson’s correlation analysis was used to analyze the correlation between PPD and DCI in lactating women.Factors affecting PPD levels during lactation were analyzed using multiple linear regression.RESULTS The total average score of EPDS in 200 lactating women was(9.52±1.53),and the total average score of DCI was(115.78±14.90).Dividing the EPDS,the dimension scores were:emotional loss(1.91±0.52),anxiety(3.84±1.05),and depression(3.76±0.96).Each dimension of the DCI was subdivided into:Pressure communication(26.79±6.71),mutual support(39.76±9.63),negative support(24.97±6.68),agent support(6.87±1.92),and joint support(17.39±4.19).Pearson’s correlation analysis demonstrated that the total mean score and individual dimension scores of EPDS during breastfeeding were inversely correlated with the total score of partner support,stress communication,mutual support,and cosupport(P<0.05).The total mean score of the EPDS and its dimensions were positively correlated with negative support(P<0.05).Multiple linear regression analysis showed that the main factors affecting PPD during breastfeeding were marital harmony,newborn health,stress communication,mutual support,negative support,cosupport,and the total score of partner support(P<0.05).CONCLUSION PPD during breastfeeding was associated with marital harmony,newborn health,stress communication,mutual support,negative support,joint support,and the total DCI score.
基金supported by the National Major Science Project of China for Global Change Research (No. 2015CB953900)the National Natural Science Foundation of China (No. 41330960)
文摘This study used the synthetic running correlation coefficient calculation method to calculate the running correlation coefficients between the daily sea ice concentration(SIC) and sea surface air temperature(SSAT) in the Beaufort-Chukchi-East Siberian-Laptev Sea(BCEL Sea), Kara Sea and southern Chukchi Sea, with an aim to understand and measure the seasonally occurring changes in the Arctic climate system. The similarities and differences among these three regions were also discussed. There are periods in spring and autumn when the changes in SIC and SSAT are not synchronized, which is a result of the seasonally occurring variation in the climate system. These periods are referred to as transition periods. Spring transition periods can be found in all three regions, and the start and end dates of these periods have advancing trends. The multiyear average duration of the spring transition periods in the BCEL Sea, Kara Sea and southern Chukchi Sea is 74 days, 57 days and 34 days, respectively. In autumn, transition periods exist in only the southern Chukchi Sea, with a multiyear average duration of only 16 days. Moreover, in the Kara Sea, positive correlation events can be found in some years, which are caused by weather time scale processes.
文摘The problem of optimal linear estimation of the functional Aξ =10^∞a（t）ζ（（t）dt depending on the unknown values of periodically correlated stochastic process ζ（t） from observations of this process for t 〈 0 is considered. Formulas that determine the greatest value of mean square error and the minimax estimation for the functional are proposed for the given class of admissible processes. It is shown that one-sided moving average stationary sequence gives the greatest value of the mean square error.
文摘传统周期模式挖掘忽略了模式本身的相关性和时效性,导致获取到一些实用价值有限的弱相关且时效性较低的模式。因此,提出了新颖的基于时效性和相关性约束的周期模式挖掘方法(correlation and recency periodic frequent pattern-breadth first search,CRPFP-BFS)和(correlation and recency periodic frequent pattern-depth first search,CRPFP-DFS)。将给定的数据库压缩到一个列式结构的列表CRPFP-List中,CRPFP-BFS和CRPFP-DFS分别采用广度优先和深度优先搜索方式递归地进行挖掘,同时利用支持度、周期、时效性以及相关性剪枝策略减少搜索空间,以有效地发现相关时效周期模式。与当前最先进算法在密集数据集和稀疏数据集上进行对比实验,结果表明CRPFP-BFS和CRPFP-DFS具有较低的内存占用和更高的运行效率,并且具有良好的可扩展性,其中CRPFP-DFS适合于内存要求严格的情况,CRPFP-BFS在长事务稀疏数据集下的运行效率更高。
文摘针对综采工作面周期来压预测的技术难题,研究了理论分析、数据采集与预处理、模型评估与优化等方法,提出了具有时空关联分析与POI(Point of Intersesting)数据的ConvLSTM模型,利用多源数据融合得到周期来压预测的最优解,实现工作面环境状态的实时感知和预测。试验结果表明:基于POI-ConvLSTM的工作面周期来压预测模型,均方误差为0.159,R 2评价指标为0.999,相比于Seq2Seq和ConvLSTM模型的均方误差分别降低了68.07%和4.22%。可见,融合了多元数据POI-ConvLSTM模型的预测精度更高,普适性更强,能够准确地提前预测周期来压问题。
