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Finally, building on the findings of this analysis, we summarize current achievements and the remaining challenges of this task.
Besides a lack of suitable data (in particular multi-condition data from the same system), one of the key challenges of this task is the computational complexity involved.
Both aspects may enhance the challenges of this task for the subjects.
However, the challenges of this task, including the involvement of family and/or informal caregivers in the goal-setting process, are topics in their own right, which lie outside the scope of this paper.
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However, the exclusive characteristics of electricity price such as non-stationarity, non-linearity and time-varying volatile structure present a number of challenges for this task.
The challenge of this task is to enhance the mechanical stability without deteriorating the anti-reflection effect at the same time.
The challenge of this task is how to efficiently select appropriate CR relays for cooperative uplink transmission as the real-time requirement of video chat is very strong.
The major challenge of this task lies in how to preserve the similarity of the same person against large variations caused by complex backgrounds, mutual occlusions and different illuminations, while discriminating the different individuals.
The largest challenge of this task was the heterogeneity of the data, formats, and metadata.
In the future, through initiatives such as EPOSS, these components can be validated in PAH-SSc and it is imperative that the challenge of this task is not used as justification for not addressing these important questions.
It also provides a perspective of the challenges to this task and the skill sets that will need to be developed to overcome those challenges successfully.
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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