Sentence examples for measures have primarily from inspiring English sources

Wrong way driving (WWD) research and mitigation measures have primarily focused on limited access facilities.

Studies comparing volumetric estimates of breast density to area-based measures have primarily focused on determining which single type of density measure is a better predictor of risk [ 20, 21, 25, 26] and have reported mixed results.

Measures have primarily been selected based on ease of administration, validity, reliability, acceptability to older people (Sturgis et al, 2001; Haywood et al, 2004), and prediction of non-standard management (Lavelle et al, 2007a) and/or treatment outcomes (Audisio et al, 2005).

Furthermore, it is criticised that measures have primarily been generated from the perspective of mental health professionals or other experts using a top-down approach rather than by an assessment of what individuals with mental health problems perceive to be important to their quality of life [ 15].

Ecological applications of entropy measures have been primarily focused on structural and functional complexity of systems and less attention has been paid to temporal evolution and dynamics.

The general psychiatric measures have been primarily generated from the perspective of others such as mental health professionals with further development and validation including mixed psychiatric groups.

Models that incorporate both social distancing measures and antiviral treatment have primarily examined how to optimally allocate an antiviral stockpile of a pre-defined size using different strategies [ 20- 24].

Previously, researchers have primarily measured RT using expensive laboratory equipment [ 8, 16– 20].

These studies have primarily measured the physical, functional capacity and HRQOL and predominantly included patient groups with relatively low disease burden.

To date, compared with area-based measures of percent density which have been more broadly established as a risk factor, studies evaluating the use of volumetric density measures in breast cancer risk assessment have primarily focused on determining which individual measure is a better predictor of risk and have reported mixed results [ 19– 25, 26, 26].

According to the interviewed experts, farmers have primarily registered measures that already existed on their farms.