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The current surgical scenario of the surgery through natural orifices or «no-scar surgery» requires acquiring new technical skills by the surgeon.
Furthermore, studying human cognition requires acquiring a large amount of neuroimaging data, which might not be feasible to do by every researcher in the field.
Usually, there is no such reliable test to determine directly if the data are MAR, because this requires acquiring some of the missing data, which is not possible when using secondary data sets.
Accurate diagnosis of faults in complex engineering systems requires acquiring the information through sensors, processing the information using advanced signal processing algorithms, and extracting required features for efficient classification or identification of faults.
Using ALS data, high species recognition rates are generally based on detecting individual trees (e.g., Holmgren and Persson 2004; Kim et al. 2009; Ørka et al. 2009; Suratno et al. 2009), which requires acquiring data in a higher density than what is currently feasible from an operational viewpoint (e.g., Maltamo and Packalen 2014; Næsset 2014).
Finally, acquisition techniques such as dual energy CT may also allow for the scanning of metal parts, a previous barrier to CT. Creating devices using CT first requires acquiring a CT scan of the device's articulating surface or area of interest.
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It requires acquired skills.
Performance in Theme C (which requires acquired knowledge and the application of numerical and analytical skills) was the result best predicted each year by both the overall cognitive ability score (p < .001) and by each subtest score.
In this regard, discerning the population size changes during this period would mostly require acquiring mtDNA information of ancient samples from this time.
In many cases making these decisions required acquiring considerable medical knowledge and training.
This will require acquiring and integrating metabolic and transcriptomic data for targeted pathways, and developing models.
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