Visualisation of polarimetric radar data

This thesis examines the application of scientific visualisation to the analysis of polarimetric radar data sets. The research contained herein forms part of a larger body of work that studies the application of scientific visualisation to the analysis of large multi-valued datasets. Visualisation techniques have historically assumed a fundamental role in the analysis of patterns in geographic datasets. This is particularly apparent in the analysis of remotely sensed data, which, since the advent of aerial photography, has utilised the intensity of visible (and invisible) electromagnetic energy as a means of producing synoptic map-like images. Progress in remote sensing technology, however, has led to the development of systems which measure very large numbers of intensity 'channels', or require the analysis of variables other than intensity values. Current visualisation strategies are insufficient to adequately represent such datasets, whilst retaining the synoptic perspective. In response to this, two new visualisation techniques are presented for the analysis of polarimetric radar data. Both techniques demonstrate how it is possible to produce synoptic image suitable for the analysis of spatial patterns without relying on pixel based intensity images. This allows a large number of variables to be ascribed to a single geographic location, and thus encourages the rapid identification of patterns and anomalies within datasets. The value of applying the principals of scientific visualisation to exploratory data analysis is subsequently demonstrated with reference to a number of case studies that highlight the potential of the newly developed techniques

Competition and cooperation: An assessment and integration of seemingly paradoxical actions

Competition and cooperation represent two foundational elements within the strategic management research domain. While substantial research examining competition or cooperation exists, research assessing these two paradoxical actions simultaneously has been limited. This study leverages the attention based view of the firm and insights from literature examining organizational ambidexterity to further understand if, and how, these two seemingly contradictory actions are managed and leveraged by firms. First, this research identifies and assesses the extent to which attention within the firm shapes competitive and cooperative action. Further, this research conceptually defines and empirically tests curvilinear relationships between competitive and cooperative action and subsequent firm performance. Finally, this study predicts and tests the performance implications associated with balancing competitive and cooperative actions. The findings suggest that attention to cooperation is associated with subsequent cooperative action, and that the curvilinear relationship between cooperative action and firm performance is moderated by cooperative action diversity such that high levels of action diversity lead to poorer performance. In the context of competitive actions, the results are found to be nonsignficant, but present valuable opportunities for future research

Sparse Matrix Multiplication and Triangle Listing in the Congested Clique Model

We show how to multiply two n x n matrices S and T over semirings in the Congested Clique model, where n nodes communicate in a fully connected synchronous network using O(log{n})-bit messages, within O(nz(S)^{1/3} nz(T)^{1/3}/n + 1) rounds of communication, where nz(S) and nz(T) denote the number of non-zero elements in S and T, respectively. By leveraging the sparsity of the input matrices, our algorithm greatly reduces communication costs compared with general multiplication algorithms [Censor-Hillel et al., PODC 2015], and thus improves upon the state-of-the-art for matrices with o(n^2) non-zero elements. Moreover, our algorithm exhibits the additional strength of surpassing previous solutions also in the case where only one of the two matrices is such. Particularly, this allows to efficiently raise a sparse matrix to a power greater than 2. As applications, we show how to speed up the computation on non-dense graphs of 4-cycle counting and all-pairs-shortest-paths. Our algorithmic contribution is a new deterministic method of restructuring the input matrices in a sparsity-aware manner, which assigns each node with element-wise multiplication tasks that are not necessarily consecutive but guarantee a balanced element distribution, providing for communication-efficient multiplication. Moreover, this new deterministic method for restructuring matrices may be used to restructure the adjacency matrix of input graphs, enabling faster deterministic solutions for graph related problems. As an example, we present a new sparsity aware, deterministic algorithm which solves the triangle listing problem in O(m/n^{5/3} + 1) rounds, a complexity that was previously obtained by a randomized algorithm [Pandurangan et al., SPAA 2018], and that matches the known lower bound of Omega~(n^{1/3}) when m=n^2 of [Izumi and Le Gall, PODC 2017, Pandurangan et al., SPAA 2018]. Naturally, our triangle listing algorithm also implies triangle counting within the same complexity of O(m/n^{5/3} + 1) rounds, which is (possibly more than) a cubic improvement over the previously known deterministic O(m^2/n^3)-round algorithm [Dolev et al., DISC 2012]

Sensitivity of a subregional scale atmospheric inverse CO 2 modeling framework to boundary conditions

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/95175/1/jgrd16614.pd

Atmospheric inverse modeling to constrain regional‐scale CO 2 budgets at high spatial and temporal resolution

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/95480/1/jgrd15697.pd

Micronutrients and bioactive compounds in oral inflammatory diseases

Oral disorders are a significant public health concern. Oral inflammatory diseases are periodontal infections, oral mucosal lesions, pulpal and periapical lesions. The aetiology is multi-factorial and usually associated with a microbial origin, often driven by the overconsumption of free sugars. However, the role of micronutrients in these processes is now becoming apparent. Most of these studies have emphasised on systemic inflammation, but now the trends have shifted towards the role of micronutrients in oral inflammation. The progression of periodontal disease and healing of the periodontal tissues can be modulated by nutritional status. There are numerous degenerative changes in oral mucosa which have been observed during specific micronutrient deficiencies. Recent studies have advocated the use of dietary supplementation of particular micronutrients to treat the oral inflammatory lesions along with their standard treatment procedures. The micronutrient supplementation can be orally administered or locally delivered. Previously reviewed articles usually lacked compiled information regarding all oral inflammatory diseases. The current review provides an insight into the role of nutrition in oral inflammatory diseases, including periodontal disorders, oral mucosal lesions, pulpal and periapical lesions

The Iowa Homemaker vol.9, no.1

The Eternal Subject by Isabel Leith, page 1 Japanese Life by Ruth Dean, page 2 Ready or Never Ready? by Margaret Davidson, page 3 Get Those Germs by Ruth Stewart, page 3 Veishea by Margaret Marnette, page 4 Built-in Features, page 5 4-H Club by Florence Forbes, page 6 State Association by Marcia E. Turner, page 8 Plea of the Dishrag, page 10 Editorial, page 11 Alumnae News by Vera Caulum, page 1