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Nejad et al. [11] presented a long-term fatigue damage reliability analysis method for tooth root bending in wind turbine drive trains.
There is a high amount of researches done on the biological method for tooth movement; unfortunately, the majority of them were done on animals.
This paper focuses on the development of a design method for tooth modifications considering manufacturing related bias errors in order to optimize the operational behavior of cylindrical gears.
To evaluate the spatio-temporal relationships between articulators in the anterior oral cavity, during the production of Japanese fricative and plosive articulation using our proposed method for tooth visualization in MR image sequences.
These findings suggest that apex locator can potentially replace, in many instances, the classic radiographic method for tooth length determination and that the correct use of a calibrated apex locator would prevent the need for further diagnostic radiographs for working length determination.
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In addition, two methods for tooth volume selection were simultaneously investigated.
Nowadays, there is an increased tendency for researches to focus on accelerating methods for tooth movement due to the huge demand for adults for a shorter orthodontic treatment time.
The use of the electronic methods for tooth length determination has progressed substantially and has gained popularity in recent years [ 10, 24].
This paper therefore has a dual purpose: to describe the new method for recording tooth wear on pig teeth; and to use the new information from both the mandibular and maxillary teeth to explore pig age at death and seasonality at Durrington Walls.
In this report, we deal with a method estimating for tooth root stresses caused by bending movements under running conditions.
At present, many heart studies [5] and some speech organ studies [6] have been performed using MRI movies, but delineation of hard tissues, including the bone and teeth, remains difficult, although conventional methods for teeth delineation in MRI have been reported [7 9].
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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