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For example, over 50 days, estimated energy expenditure based on resting data would be about 160 kJ and energy expenditure due to SDA would be about 61 kJ (based on ingestion of a total of 30 g of cricket and extrapolating from the nearest values available in Table 1 of Secor and Faulkner 2002, and assuming digestion was complete at 50 days).
In terms of crime density, 406.5 crimes per 1 square kilometre were registered (the fourth highest figure, behind the Old Town, Naujamiestis and Šnipiškės; Vilnius' total crime density, using the same population data, would be about 70.4).
Using the population data of the latest available census (2001), this would amount to about 48.9 crimes per 1,000 residents per year (only the eighth highest figure, due to the elderate's large population; Vilnius' total crime rate, using the same population data, would be about 51 crimes per 1,000 residents).
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If they opted out, they would remain a member of relevant cluster (to be offered either the PEP Intervention or not), but no data would be collected about them and they would not be offered the PEP Intervention should they be randomised to a cluster in the PEP Intervention arm.
Thus, a conservative inference from the data would be that SHS contributed about 90% to 95% of the RSP levels during smoking, and 80%to90%0% of the PPAH levels during smoking, with an average smoking prevalence of about 12%.
An alternative to using the kinetic data would be to use information about the steady-state expression levels obtained under different conditions or in different tissues [ 14- 16].
The audience raised concerns about how safe such data would be and valid questions were asked about how DeepMind could ensure data did not get into the wrong hands.
In addition to WIC participant insights, what other data would be useful in understanding more about WIC purchases and associated costs?
If beliefs about sense data could plausibly be claimed to be infallible, and if one assumes a foundationalist epistemology, beliefs about sense data would be prime candidates for constituting non-inferential knowledge.
It is worth thinking about what data would be helpful, when, to who, and for what purpose.
Participants acknowledged the importance of providing honest answers because they understood that the data would be used to make important conclusions about HIV prevention.
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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