We have shown how video analysis methodologies that incorporate the embodied and multimodal reveal the resources of students who are the first to be marginalized (language-learners, those who are less strong/competent in the classroom sanctioned languages) and how these students engage interactive, spatial, and embodied resources in ways that demonstrate their participation and understanding.
There is a clear need for instructional methodologies that incorporate hands-on experience, familiarization with existing literature, consistent practice, topical relevance, and explicit learning methods [ 9- 12].
We suggest that these deficiencies in the catalytic performance of aaRS enzymes emerging from directed evolution may be remediated through methodologies that incorporate rational design.
In this paper, we take as an example a real-life prediction problem based on a public-health space time data set from Kenya and develop and implement three different geostatistical prediction methodologies that incorporate a stationary spatial approach, a stationary space time approach and a locally varying space time approach in order to compare the accuracy of the resulting predictions.
Translating them into practice represents an unavoidable challenge – in which we are aided, fortunately, by the development of methodologies that incorporate complexity and uncertainty into the making and implementation of policies (e.g. adaptive management, ecosystem management, transition management; Christensen et al. 1996; Brugge and Raak 2007; Brock and Carpenter 2007).
To achieve this vision, we need to embrace diverse research methodologies that incorporate ecology, sociology, anthropology, political science, economics and other disciplines that are anchored in empirical data.
The song benefits from a recent change in Billboard's chart methodology that incorporates YouTube views along with sales, airplay and other forms of audio streaming.
This paper presents a methodology that incorporates temporal feature integration for automated generalized sound recognition.
This chapter presents a methodology that incorporates economical, environmental, heat integration and operational considerations within a multi-objective optimization framework.
The analysis was conducted in a landscape scale using spatial regression methodology that incorporates spatial autocorrelation into models.
This paper illustrates the application of a methodology that incorporates these principles in the conceptual design of a switchgrass-based biorefinery.
