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χ 2 statistics are common indicators of model fit, however, some drawbacks need consideration.
The results highlight that still a lot of work needs to be done to combine both worlds, and that certain advantages and drawbacks need to be taken into account when combining spatial and non-spatial data.
The results are encouraging, but a longer period of follow-up is required to assess its application in a clinical setting, and some design drawbacks need to be addressed.
Some important drawbacks need to be mentioned.
Several drawbacks need to be mentioned.
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The use of this approach has two drawbacks that need to be considered: additional bandwidth is needed to transmit FEC packets; additional latency is introduced by FEC operations both at the transmitter and the receiver stage.
Our study is limited by some methodological drawbacks which need to be discussed.
The ℓ0-norm has two major drawbacks: the need for a combinatorial search, and its sensitivity to noise.
The use of games as incentive in mobile crowdsensing has certain drawbacks that need to be adequately addressed in future research.
Despite the significant innovative progress achieved using nanomaterials to tailor NO release, certain drawbacks still need to be overcome to successfully translate these research innovations into clinical applications.
The RIDERS algorithm has a good performance but there are still some drawbacks which need to be improved, which are described as follows: 1) Hypothesis 1 proposed in [16 18] is not correct.
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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