The phrase "model have mainly" is not correct in English.
It appears to be a grammatical error, as "model" should be followed by "has" instead of "have" when referring to a singular subject. You can use a corrected version of this phrase when discussing the primary characteristics or features of a model.
Example: "The model has mainly focused on the impact of climate change on biodiversity."
Alternatives: "model primarily" or "model mainly".
Studies using this mouse model have mainly focused on the postnatal development since normal mice acquire hearing during the second postnatal week and since most human patients lose hearing during early childhood.
The few studies that have implemented the whole model have mainly focused on a specific chronic disease [ 20].
Researchers studying the varying coefficient model have mainly used non-parametric methods with two main estimations techniques: kernel-local polynomial smoothing and estimation using splines (polynomial spline, penalized regression spline or smoothing spline).
The over-fitting of the SVMR/FFS model has mainly to do with the forward feature selection algorithm, which uses the squared correlation coefficient to choose the next descriptor in the iteration.
Early attempts of quality improvement for energy models have mainly focussed on technical modelling aspects [6].
In previous work, the bioreactor models have mainly been developed by considering the microbial kinetics and the reactor environmental conditions with the assumption that the ideal mixing occurs inside the reactor.
However, previous studies on knowledge representation models have mainly focused on developing a structure to describe the knowledge about design objects and design processes while a systematic method that can effectively integrate knowledge about design objects and knowledge about problem-solving strategies is still missing.
Econometric models have mainly focused on models of exchange and allocation, neglecting critical aspects in economies' dynamics like production or credit money.
Traditionally, process-based models have mainly been used to simulate the long-term evolution of forest C dynamics at large scales, including the potential effects of climate change [18], but they generally do not include a detailed analysis of forest management practices.
While previous works on soft target training for DNN acoustic modeling have mainly relied on internal data sets, we have experimented on a widely used benchmark LVCSR data set and test sets, not just for training a smaller size DNN but also showing how soft target training can be effective for training a student DNN having the same size as the teacher but with cheaper-to-obtain input features.
Studies investigating ILE as antidote that report negative results in animal models have mainly used the porcine model.
