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The inherent safety of source encapsulations is demonstrated by 30 yr of experience and by US Bureau of Mines tests of source survivability during explosions.
Three recent studies sought to address this issue using tests of source recollection, autobiographical recall, and remember/know judgments.
For example, objective tests of source memory may require greater executive demands, such as the initiation of repeated episodic memory searches until the requisite source information is retrieved, compared with typical subjective tests, in which the first of any contextual details retrieved is sufficient to warrant a "remember" judgment.
Furthermore, there is substantial evidence suggesting that damage to the PFC impairs performance on tests of source memory (Shimamura and Squire 1987; Janowsky et al. 1989; Kopelman et al. 1997; Duarte et al. 2005; Swick et al. 2006) and, in some cases, may spare performance for subjective measures of recollection (Duarte et al. 2005; Ciaramelli and Ghetti 2007).
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Apart from the above-mentioned analysis of collected samples, the other analytical testing of source rocks such as TOC, Rock Eval parameters, and Ro was undertaken at the Research Institute of Exploration and Development of Yumen Oilfield Company.
As noted by the US Centers for Disease Control and Prevention CDCC), previous testing of source material was inadequate due to the routine failure of serologic screening to detect newly infected donors in the pre-seroconversion phase of infection.
The newly modified and simplified 48-h rotavirus isolation-based assay may serve as a base line methodology in laboratory evalaution studies, as a laboratory support methodology during drug/vaccine efficacy trials, or for the testing of sources (e.g., biopsy/autopsy tissues) not approved for assay by commercial rotavirus kits.
For statistical testing of source-localizations underlying ERF and time-frequency effects and coherent sources, we used the same cluster-based approach, in this case only clustering over voxels.
In this case also, we can observe the same trend in terms of the value of the ratio of the number of lines of test code per number of tested lines of source code (Table 1 – column 7: 99.54%).
The values of the ratio of the number of lines of test code per number of tested lines of source code (Table 1 – column 7) show two particular systems: JODA and JFC.
From Table 1, it can be seen that the value of the ratio of the number of lines of test code per number of tested lines of source code corresponding to JODA system (264.17%) shows that there are two times more lines of test code than lines of source code.
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