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The current experiments reveal several findings that are crucial for understanding how emotion shapes memory for prior events.
Of additional interest will be the connectivity between different domain-specific systems (e.g., capacity to understand others' mental states and abilities for numerical quantification in the context of cooperative games) and their links to more domain-general processes (e.g., memory for prior interactions and participants).
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For example, when people notice the relationship between a current item and prior information, memory for that prior information is enhanced; however, when people fail to notice that relationship, the later item can interfere with memory for the earlier item (Bellezza, Winkler, & Andrasik, 1975; Jacoby, Wahlheim, & Kelley, 2015; Wahlheim & Jacoby, 2013).
Complementing already available standalone tools (Chen et al., 2009; Ge et al., 2008), a database-centric architecture enables Genevar to perform complex queries on-the-fly and does not have a high memory requirement for prior reading in large-scale datasets.
Successful practice retrieval of P1 ensures that memory for that prior item will persist over longer periods of time (Roediger & Karpicke, 2006).
Alternatively, source activity in this late task period may represent working memory for a prior decision or stimulus.
Such persistent neuronal firing that continues for many seconds after atransient input can represent a short-term memory of prior stimuli [2].
The main problem encountered by memory analysis tools when parsing the Linux kernel memory is the need for prior knowledge of the precise kernel version and symbol information.
The majority of applied GKT procedures use low probability probes, so although our first experiment was theoretically important for prior memory suppression work, the second experiment with low probability probes was most relevant to practical applications.
By means of DHO functions, users request the mapping of data into local memory (for reading or writing) with prior knowledge of neither the location of that data nor the underlying structure nor of the mobility of peers.
GLR-1 is required for this long-term memory, and prior stimulation alters the size of GLR-1 clusters in the posterior ventral nerve cord, suggesting that prior experience alters GLR-1 expression or localization [19].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com