Exact(7)
We present a new Comprehensive Change Detection Method (CCDM) designed as a key component for the development of NLCD 2011 and the research results from two exemplar studies.
In this review, we explore different approaches to assessing usability and acceptability, drawn from selected exemplar studies in the health sciences literature.
This paper highlights the benefits and challenges of mixed methods for investigating inequities; and, illustrates the application of mixed methods in two exemplar studies focused on vulnerable populations in Canada.
Using a patient review process as an example, we examine how the concepts from such exemplar studies can be leveraged to analyse fieldwork data, and to facilitate requirements elicitation.
Such exemplar studies likely represent the tip of the iceberg, and highlight the tantalizing future research opportunities in plant nuclear genomics.
Similarly, some exemplar studies have integrated the principles of pathogens as possible agents of selection (May and Anderson 1983; Ujvari et al. 2012; Lagagneux et al. 2014).
Similar(53)
Other phenomena of resonance are also discussed in the exemplar study.
More phenomena will be explored in the exemplar study of various box girders.
Using an exemplar study area in central Taiwan, performance of the proposed methods are shown to be significantly superior to two other commonly applied methods (the post-classification comparison and the image differencing methods) in terms of the overall change detection accuracies.
For each archetype, we describe the adoption pattern, highlight some potential implications, and provide an exemplar study from the literature that illustrates the archetype.
In an exemplar study of fungal relationships, Floudas et al. [ 15] investigated the origin of lignin decomposition in fungi - the ability of organisms to degrade lignin synthesized by green plants is a rare feature across the tree of life.
More suggestions(1)
Write better and faster with AI suggestions while staying true to your unique style.
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