Standards Research Data
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:
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Data for online parameter estimation problem of PMSM
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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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125 Views
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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50 Views
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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52 Views
This is the data supporting the research of "driving cycle of Haikou bus"
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268 Views
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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