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In-vivo analysis of the active pharmaceutical ingredient (API) and its potential metabolites could be quite challenging due to their low abundance (ng/mL levels) and matrix interferences.
While the project was originally intended as a simple introductory project, it has turned out to be quite challenging due to all of the nuances involved with programming a robot to follow a lengthy list of tasks, while also employing vision, object detection and executing controlled motions.
Indoor OW systems are required to allow for user mobility, which can be quite challenging due to the dispersive nature of the indoor channel.
In many communities fuels reduction activities may be quite challenging due to a range of factors such as rapid regrowth, high management cost, and complex ownership patterns.
Unfortunately, this may be quite challenging due to the position of the animal in the imaging bore and experimentally required blood/fluid collection.
However, the interpretation of FDG-PET/CT studies in the head and neck may be quite challenging due to the inherently complex anatomy, physiological variants and unusual patterns of FDG uptake after radiation therapy and surgery [1, 2, 3, 4, 6, 7, 8, 9].
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Meanwhile, generating periodic mesh is quite challenging due to complicated mesoscopic features for 3D braided composites.
Such task is quite challenging due to the need of addressing simultaneously the process design, energy integration and utility design.
Achieving theoretical promises of 1000 W h/kg specific energy for lithium-air batteries is quite challenging due to limited transport in the cathode along with electrode passivation.
Yet, predicting the responses of macroinvertebrates to these stressors combination is quite challenging due to the reduced available information, especially if biotic and abiotic seasonal variations are taken under consideration.
The design of modern wireless networks, which involves decision making and parameter optimization, is quite challenging due to the highly dynamic, and often unknown, environmental conditions that characterize wireless networks.
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