Objective: To find out the association between psychological domain of Quality of life with study variable
(demographic &reproductive).
Methodology: A descriptive Analytical study was conduct on Non-probability (purposive sample)of (200) women
who have suffering from spontaneous abortion in maternity unit from four hospitals which include Al-Elwyia
maternity teaching hospital, and Baghdad teaching hospital at Al-Russafa sector. Al –karekh maternity hospital
and Al-Yarmook teaching hospital at Al-karekh sector. A questionnaire was used as a tool of data collection for the
period of February 3rd 2013 to April 26th 2013 and consisted of four parts, including demographic, reproductive
characteristics, and psychological domain of quality of life. A pilot study was carried out to test the reliability of the
questionnaire and content validity was carried out through the 20 experts. Descriptive statistical analyses were
used to analyze the data.
Results :The results of the study revealed that (26.5%) of women their age range (25-29) years, (48%) within the
normal body weight,(27.5%)graduated from primary school, (25%) of their husband graduated from college or
institute, (80%) housewives, (54.5%) of their husband were employee, (48%) within low category of socioeconomic
status. And about the reproductive information (66%) of women were primi or multi gravida, and (25%) have
previous two delivery, and (52.5%) have previous one abortion, also there are association between psychological
domain of quality of life and sociodemographic status(Age groups)at (p=0.006), and with reproductive parameters
(gravid) at (p=0.031).
Recommendations: The study recommended Conduct Structured Teaching Programmed (STP) to pregnant
women's with history of miscarriage included meaning, causes, and prevention of miscarriage, and Reinforce the
role of the psychological care for the women by primary health center. the study recommends to collaborative
action can Ministry of Health take in distribution of awareness for women towards the problem by conducting a
booklet or lectures about miscarriage.
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Nowadays, people's expression on the Internet is no longer limited to text, especially with the rise of the short video boom, leading to the emergence of a large number of modal data such as text, pictures, audio, and video. Compared to single mode data ,the multi-modal data always contains massive information. The mining process of multi-modal information can help computers to better understand human emotional characteristics. However, because the multi-modal data show obvious dynamic time series features, it is necessary to solve the dynamic correlation problem within a single mode and between different modes in the same application scene during the fusion process. To solve this problem, in this paper, a feature extraction framework of
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