Functions of mixed-methods approach, such as initiation, triangulation, complementarity and development can possibly contribute to improving program progress, avoiding information narrowness and uncovering side effects.
While a multi-method approach, such as one that combines direct observation, medical record review, patient survey, and/or billing data would likely provide a more comprehensive, unbiased view of primary care clinical encounters, our results are consistent with other U.S studies which have used direct observation [ 6, 7].
Other methods and approaches such as the Morgan method (Ustun 2008), ImpelERO model (Shahbazi et al. 2010), CORINE methodology (Gupta and Uniyal (2012)), and SWAT model (Gebreyesus et al. (2013)) have been applied.
In addition to the experimental methods, modeling approaches such as pore-network modeling and empirical correlations have been developed for predicting relative permeability (Rajaram et al. 1997; Laroche and Vizika 2005; Sinha and Wang 2007).
Using generally similar methods and approaches, such as employing ambient monitoring data or modeled concentrations to estimate exposure and relying on established reference values from government agencies to compare chronic health risks, these studies demonstrated that ambient levels of numerous urban air pollutants commonly exceed health-related benchmarks.
Compared with the conventional delay-and-sum beamforming method, deconvolution approaches such as DAMAS successfully improve the spatial resolution, however require high computational effort.
In addition to the widely known inverse document frequency (IDF) method, alternative approaches such as the residual inverse document frequency (RIDF) scheme have been introduced for term discrimination.
It has been used in the form of thin films or powder to fabricate gas sensors [2, 3], antiseptic materials [4], photoconductors [5 7], thermoelectric devices [8 11], etc. Usually, chemical and electrochemical methods ("bottom-up" approaches), such as chemical vapor deposition [12] and solvothermal synthesis [13], are utilized to produce tellurium-based materials.
They include: surveys; in-depth or semi-structured interviews; focus group discussions; document reviews; news/media analysis; and a variety of participatory methods using visual approaches such as institutional mapping.
In addition, some typical graph partitioning methods and clustering approaches, such as GS[ 18], MCL [ 19], VI-Cut [ 20], IPCA [ 21], MSCF [ 22], HC-PIN[ 23], RW[ 24], and their improved algorithms, can also be used to discover candidate disease-related genes.
