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Figure A and B:

A:▲:Comparison of total PTSD scores of the treatment group within before and after 1, 2 and 3 months treatment(P<0.01).▼:Comparison of total PTSD scores between treatment group and control group(P<0.01).■:Look at the control group, there was no significant difference between before treatment and 1 month after treatment(P>0.05), but there was significant difference in the 2 months after treatment(P<0.05), and the difference was more significant in the 3 months after treatment(P<0.01).

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Figure A and B:

A:▲:Comparison of total PTSD scores of the treatment group within before and after 1, 2 and 3 months treatment(P<0.01).▼:Comparison of total PTSD scores between treatment group and control group(P<0.01).■:Look at the control group, there was no significant difference between before treatment and 1 month after treatment(P>0.05), but there was significant difference in the 2 months after treatment(P<0.05), and the difference was more significant in the 3 months after treatment(P<0.01).

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Figure A and B:

A:▲:Comparison of total PTSD scores of the treatment group within before and after 1, 2 and 3 months treatment(P<0.01).▼:Comparison of total PTSD scores between treatment group and control group(P<0.01).■:Look at the control group, there was no significant difference between before treatment and 1 month after treatment(P>0.05), but there was significant difference in the 2 months after treatment(P<0.05), and the difference was more significant in the 3 months after treatment(P<0.01).

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The bearing dataset  is acquired by the electrical engineering laboratory of Case Western Reserve University and published on the Bearing Data Center Website. The gearbox dataset  is from IEEE PHM Challenge Competition in 2009

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Dockerfile plays an important role in the Docker-based containerization process, but many Dockerfile codes are infected with smells in practice. This dataset contains a collection of 6,334 projects to help developers gain some insights into the occurrence of Dockerfile smells. Those projects belong to 10 popular programming languages, i.e., Shell, Makefile, Ruby, PHP, Python, Java, HTML, CSS, JavaScript, and Go. 

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This data set contains three MATLAB codes related to the numerical examples of the article etntitled "Data Collection versus Data Estimation: A Fundamental Trade-off in Dynamic Invariant Networks with Known and Unknown Models".

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This contains three MATLAB codes of the numerical examples of the article, entitled  "Data Collection versus Data Estimation: A Fundamental Trade-off in Dynamic Invariant Networks with Known and Unknown Models".

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This contains three MATLAB codes of the numerical examples of the article, entitled  "Data Collection versus Data Estimation: A Fundamental Trade-off in Dynamic Invariant Networks with Known and Unknown Models".

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