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This palaeo-environmental examination of the FIS provides a useful framework for ice-sheet modelling and shows that fragmentary preservation of buried surfaces and variability of ice-sheet dynamics should be taken into account when reconstructing glacial history from spatially limited datasets.
Classifying small limited datasets through deep learning systems is a major challenge and should be investigated.
Practical limitations in both organelle isolation and also analysis of low abundance proteins have resulted in limited datasets from high throughput proteomics approaches.
Our work shows the potential of using integrated surface-subsurface modelling alongside with rigorous model calibration to better understand and visualise the role of groundwater in runoff generation even with limited datasets.
Using our own datasets as well as data from recent proteomics literature we demonstrate that different dominant pathways (EGF, TGFβ, stress, and Fas pathways) can be correctly identified even from limited datasets.
However, in order to realise the full potential offered by this approach, an in-depth understanding of the impact of different classes of an explanatory variable on a target disease and the validity of hotspot analysis using limited datasets is needed.
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Both the BioVU [ 15] and the i2b2 project [ 13] de-identify individual-level data according to the Safe Harbor standard, but also require a data sharing agreement with the data recipients as required by the Limited Dataset provision, and some sites implementing the i2b2 software use the Limited Dataset provision for de-identification [ 14].
Under these circumstances, a more stringent standard than the Limited Dataset is required.
The Limited Dataset stipulates the removal of only 16 variables, but also requires that the data recipient sign a data sharing agreement with the data custodian.
In the US, the Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule provides three standards for the disclosure of health information without seeking patient authorization: the Safe Harbor standard (henceforth Safe Harbor), the Limited Dataset, and the statistical standard.
To make the datasets comparable, we limited the dataset to foods processed by more than one age class and opened without tools.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com