Advancing Cultural Competencies: Applying the Dietary Exchange List System to Jamaican Foods

Comparing Two Different Teaching Methods for Teaching the Dietary Exchange List to Students of Nutritional Science

Introduction: Considering the importance of learning dietary exchange list in academic nutrition education, teaching it gains significance, too. Thus, this study is going to compare two different teaching methods regarding dietary exchange list to students of nutritional science. Methods: This quasi-experimental study was conducted on 49 students of nutritional science in two semesters ...

Food Exchange List and Dietary Management of Non-Communicable Diseases in Cultural Perspective

This review focuses at highlighting the importance of Food Exchange List in cultural perspective, as an effective dietary tool to help individuals' manage their dietary modifications in relation to non communicable diseases whilst specifying measures that can help improve the quality of Food Exchange Lists for combating various non communicable diseases and addressing adherence related issues t...

Resources for applying competencies to governance.

Advancing Intercultural Competencies for Global Collaboration

Globalization is not a rite of passage and culture appears to be the most neglected and underestimated source of challenge in global professional services. Academic research on national culture and cultural differences has identified dimensions with an effect on the functioning not only of societies and individuals, but also of organizations and project teams. Once cultural differences are reco...

Applying the Mahalanobis-Taguchi System to Vehicle Ride

The Mahalanobis Taguchi System is a diagnosis and forecasting method for multivariate data. Mahalanobis distance is a measure based on correlations between the variables and different patterns that can be identified and analyzed with respect to a base or reference group. The Mahalanobis Taguchi System is of interest because of its reported accuracy in forecasting small, correlated data sets. Th...