Women, migrant labor, and social change in Botswana

African Studies Center Working Paper No. 4

Initiating and Sustaining Partnerships Handout

Initiating & Sustaining Community-Academic Partnerships Erin Burke Brown, Ph.D., Director, ASPiRE This workshop presents “5 Simple Steps” for initiating and sustaining community-academic partnerships. Participants will move through the 5 steps to consider the unique aspects of community-academic partnerships, the importance of deliberate and intentional conversations to find mutual benefit, and knowing when/if to terminate the partnership

Initiating and Sustaining Partnerships Workshop Agenda

Initiating & Sustaining Community-Academic Partnerships Erin Burke Brown, Ph.D., Director, ASPiRE This workshop presents “5 Simple Steps” for initiating and sustaining community-academic partnerships. Participants will move through the 5 steps to consider the unique aspects of community-academic partnerships, the importance of deliberate and intentional conversations to find mutual benefit, and knowing when/if to terminate the partnership

Vectorized Monte Carlo methods for reactor lattice analysis

Some of the new computational methods and equivalent mathematical representations of physics models used in the MCV code, a vectorized continuous-enery Monte Carlo code for use on the CYBER-205 computer are discussed. While the principal application of MCV is the neutronics analysis of repeating reactor lattices, the new methods used in MCV should be generally useful for vectorizing Monte Carlo for other applications. For background, a brief overview of the vector processing features of the CYBER-205 is included, followed by a discussion of the fundamentals of Monte Carlo vectorization. The physics models used in the MCV vectorized Monte Carlo code are then summarized. The new methods used in scattering analysis are presented along with details of several key, highly specialized computational routines. Finally, speedups relative to CDC-7600 scalar Monte Carlo are discussed

Self-Prep Checklist Handout

Initiating & Sustaining Community-Academic Partnerships Erin Burke Brown, Ph.D., Director, ASPiRE This workshop presents “5 Simple Steps” for initiating and sustaining community-academic partnerships. Participants will move through the 5 steps to consider the unique aspects of community-academic partnerships, the importance of deliberate and intentional conversations to find mutual benefit, and knowing when/if to terminate the partnership

Deriving shape-based features for C. elegans locomotion using dimensionality reduction methods

High-throughput analysis of animal behavior is increasingly common following the advances of recording technology, leading to large high-dimensional data sets. This dimensionality can sometimes be reduced while still retaining relevant information. In the case of the nematode worm Caenorhabditis elegans, more than 90% of the shape variance can be captured using just four principal components. However, it remains unclear if other methods can achieve a more compact representation or contribute further biological insight to worm locomotion. Here we take a data-driven approach to worm shape analysis using independent component analysis (ICA), non-negative matrix factorization (NMF), a cosine series, and jPCA (a dynamic variant of principal component analysis [PCA]) and confirm that the dimensionality of worm shape space is close to four. Projecting worm shapes onto the bases derived using each method gives interpretable features ranging from head movements to tail oscillation. We use these as a comparison method to find differences between the wild type N2 worms and various mutants. For example, we find that the neuropeptide mutant nlp-1(ok1469) has an exaggerated head movement suggesting a mode of action for the previously described increased turning rate. The different bases provide complementary views of worm behavior and we expect that closer examination of the time series of projected amplitudes will lead to new results in the future