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If I asked you whether a frog had a tail, for example, you would summon up a picture of a frog from your long-term memory (image generation), hold it steady in your mind (image maintenance), rotate the frog around until you see his backside (image transformation), and then look to see if there was a tail there (image inspection).
Fig. 2 Example of memory image visualization in our practice.
Clause (a) distinguishes memory belief from beliefs newly formed on the basis of a memory image.
What, then, makes a representation a memory image rather than a perceptual or imaginary representation?
In each practical exercise, we planned learning without referencing the memory image in (B).
Figure 2 provides an example of memory image visualization practically used in our practiced classroom.
Step I: given a physical memory image, identify the precise kernel version of the target system.
We measured the execution speed of RAMAnalyzer when only a memory image was provided.
Simultaneously, the learner can understand the concrete memory image in each execution step and the concrete expression of the data structures by observing and comparing the world in (C) with the memory image in (B).
In the questionnaire, some participants commented that the observations of the memory image in learning pointers were especially valuable.
The partial content of vmcoreinfo_data in the memory image is shown in Fig. 2. Fig. 2 Partial content of vmcoreinfo_data.
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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