Inclusion/Services and Family engagement: Leadership Opportunities

Project was created to provide: data driven materials to Maine\u27s Child Development Services; resources and supports to families; and exploration into Applied Behavioral Analysis for Behavioral Intervention Support learning.https://digitalcommons.library.umaine.edu/ccids_posters/1043/thumbnail.jp

An Introduction To Numerical Relativity And Simulations Of Binary Neutron Stars

The theory of general relativity is currently the best description of gravity. However, the equations in general relativity are highly nonlinear and only the simplest of cases can hope to be solved analytically. As a result, the field of numerical relativity was created to solve some of these issues and to model more complicated dynamical situations. This thesis sets out to give the reader a basic understanding of general relativity, numerical relativity, as well as an understanding of some of the programs that are used in numerical relativity research such as Lorene and the Einstein Toolkit and concludes with a brief set of simulations of binary neutron stars with various masses

Graduates Report By Mail

Dorothy Drown gathers excerpts from letters to faculty members written by recent graduate

Better estimates from binned income data: Interpolated CDFs and mean-matching

Researchers often estimate income statistics from summaries that report the number of incomes in bins such as \$0-10,000, \$10,001-20,000,...,\$200,000+. Some analysts assign incomes to bin midpoints, but this treats income as discrete. Other analysts fit a continuous parametric distribution, but the distribution may not fit well. We fit nonparametric continuous distributions that reproduce the bin counts perfectly by interpolating the cumulative distribution function (CDF). We also show how both midpoints and interpolated CDFs can be constrained to reproduce the mean of income when it is known. We compare the methods' accuracy in estimating the Gini coefficients of all 3,221 US counties. Fitting parametric distributions is very slow. Fitting interpolated CDFs is much faster and slightly more accurate. Both interpolated CDFs and midpoints give dramatically better estimates if constrained to match a known mean. We have implemented interpolated CDFs in the binsmooth package for R. We have implemented the midpoint method in the rpme command for Stata. Both implementations can be constrained to match a known mean.Comment: 20 pages (including Appendix), 3 tables, 2 figures (+2 in Appendix

Adultification: Addressing the injustice faced by young girl of color in the school system

Adultification is a form of racial prejudice involving children of a racialized minority being treated as more mature than their biological age and reasonable social standards of development. It “reduces or removes the consideration of childhood as a mediating factor in Black youths’ behavior” (Epstein et al., 2017, p. 2). Adultification leads to a higher prevalence of sexualization, more frequent punishment, and increased alienation of young Black girls within the public school system. This is a systemic issue which requires systematic solutions. The most effective solution would be to diversify the workforce

Progressive Movements:

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DART: Detection of Antimicrobial Resistance Toolbox

Research Poste