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Forecasting in geophysical time series is a challenging problem with numerous applications.
Automatic annotation of images with descriptive words is a challenging problem with vast applications in the areas of image search and retrieval.
The author writes that they originally joined uBeam in hopes of working on a challenging problem with an inspiring CTO, Marc Berte, who left in January 2015.
Multiple techniques for broken nail removal have been described [5, 8, 12] and retrieval of the distal fragments without destructive surgery [5] remains a challenging problem with no universally accepted technique [12].
Soft tissue reconstruction of the distal third of the lower limb with exposure of the internal hardware is a challenging problem with several potential complications, such as exposure of the fracture line, fracture instability and bacterial contamination.
Biomarker discovery in GWAS data is a challenging problem with the potential for many false positives and the lack of reproducibility across datasets.
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Infection is a challenging problem associated with orthopedic implants.
This is a reflection of the state of the art in the field: there are no methods that are guaranteed to work for all or even most problems, but there are enough methods to try on a given challenging problem with a reasonable chance that one or more of them will be successful in the end.
While on the one hand, the gain in molecular information through toponome data may undoubtedly have the potential to lead to a new understanding of functional molecular networks, the analysis of TIS data represents a new challenging problem with a large number of open issues for bioimage informatics on the other hand.
Isolating the source of an unknown contaminant emission is a challenging problem when provided with only a limited and noisy set of mean concentration measurements.
Incontinence is still a challenging problem in children with the exstrophy-epispadias complex (EEC) and satisfactory results using conventional management has not yet been achieved.
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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