The need for inclusive and equitable approaches to teaching and learning is a persistent theme in recent literature. In spite of relatively widespread agreement about this objective, inclusion remains elusive, and opinions about how best to achieve it proliferate. To provide a landscape view of the field and offer recommendations for research and practice, this article provides a focussed review of literature connected to inclusive teaching and learning published since 2010. Drawing from a framework advanced by Hockings (2010), we synthesize key findings from recent scholarship and argue for the value of a whole-of-institution approach that considers the activities and interactions of educational actors operating at different institutional levels. We also extend this argument to consider the need for greater attention to factors that move beyond the individual institution and to advocate for further international research in particular.
Determination of sequence similarity is one of the major steps in computational phylogenetic studies. As we know, during evolutionary history, not only DNA mutations for individual nucleotide but also subsequent rearrangements occurred. It has been one of major tasks of computational biologists to develop novel mathematical descriptors for similarity analysis such that various mutation phenomena information would be involved simultaneously. In this paper, different from traditional methods (eg, nucleotide frequency, geometric representations) as bases for construction of mathematical descriptors, we construct novel mathematical descriptors based on graph theory. In particular, for each DNA sequence, we will set up a weighted directed graph. The adjacency matrix of the directed graph will be used to induce a representative vector for DNA sequence. This new approach measures similarity based on both ordering and frequency of nucleotides so that much more information is involved. As an application, the method is tested on a set of 0.9-kb mtDNA sequences of twelve different primate species. All output phylogenetic trees with various distance estimations have the same topology, and are generally consistent with the reported results from early studies, which proves the new method’s efficiency; we also test the new method on a simulated data set, which shows our new method performs better than traditional global alignment method when subsequent rearrangements happen frequently during evolutionary history.
An analogue of Brylinski's knot beta function is defined for a submanifold of d-dimensional Euclidean space. This is a meromorphic function on the complex plane. The first few residues are computed for a surface in three dimensional space.
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