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    Forecasting eco-evolutionary dynamics in the Northern Blue butterfly (Lycaeides idas)

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    Natural selection can drive rapid evolutionary change, particularly in human-altered habitats. Rapid adaptation to global change requires standing genetic variation for ecologically important traits, but at present little is known about how much relevant genetic variation most populations possess. With this in mind, we began a long term study of genome-wide molecular evolution in a series of natural butterfly populations in the Greater Yellowstone Area (GYA) in 2012 to quantify the contribution of environment-dependent natural selection to evolution in these butterfly populations, and determine whether selection varies enough across space and time to maintain variation that could facilitate adaptation to global change. In 2018, we visited 11 focal populations to collect samples for DNA, estimate population sizes (using distance sampling and mark-release-recapture methods), and survey arthropod communities at the sites. Our analyses are ongoing, and this is a preliminary report, but thus far we have found that census population sizes are much higher than contemporary effective population sizes (though these metrics are highly correlated), and that both are independent of genetic diversity levels. These results are consistent with the hypothesis that selection plays a central role in eco-evolutionary dynamics in this system.   Featured photo from Figure 1 in report

    Volume 3 Issue 1: Editorial

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    ‘Ping Ping Ping / I break things’: Productive Disruption in the WorkingClass Poetry of Jan Beatty, Sandra Cisneros, and Wanda Coleman

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    This essay explores how working-class lives are represented in the poetry of three American women poets, Jan Beatty, Sandra Cisneros, and Wanda Coleman. It discusses how the poets’ working-class backgrounds affect their poetics and their perceptions of poetic craft. Through analysis, I show how their poetry shares a sense of defiant resistance, communicated through imagery of violence, labor, and sexual pleasure, responding to societal and institutional limitations placed on working-class women and working-class women writers

    Roediger, David (2017) Class, Race, and Marxism, Verso, London, UK, and New York, NY.

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    Jordan Triple Product Homomorphisms on Triangular Matrices to and from Dimension One

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    A map Φ\Phi is a Jordan triple product (JTP for short) homomorphism whenever Φ(ABA)=Φ(A)Φ(B)Φ(A)\Phi(A B A)= \Phi(A) \Phi(B) \Phi(A) for all A,BA,B. We study JTP homomorphisms on the set of upper triangular matrices Tn(F)\mathcal{T}_n(\mathbb{F}), where \Ff is the field of real or complex numbers. We characterize JTP homomorphisms Φ:Tn(C)C\Phi: \mathcal{T}_n(\mathbb{C}) \to \mathbb{C} and JTP homomorphisms Φ:FTn(F)\Phi: \mathbb{F} \to \mathcal{T}_n(\mathbb{F}). In the latter case we consider continuous maps and the implications of omitting the assumption of continuity

    On the Notion of Scalar Product for Finite-Dimensional Diffeological Vector Spaces

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    It is known that the only finite-dimensional diffeological vector space that admits a diffeologically smooth scalar product is the standard space of appropriate dimension. In this note, a way to dispense with this issue is considered, by introducing a notion of pseudo-metric, which, said informally, is the least-degenerate symmetric bilinear form on a given space. This notion is applied to make some observations on subspaces which split off as smooth direct summands (providing examples which illustrate that not all subspaces do), and then to show that the diffeological dual of a finite-dimensional diffeological vector space always has the standard diffeology and in particular, any pseudo-metric on the initial space induces, in the obvious way, a smooth scalar product on the dual

    Fast verified computation for the solvent of the quadratic matrix equation

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    Two fast algorithms for numerically computing an interval matrix containing the solvent of the quadratic matrix equation AX^2 + BX + C = 0 with square matrices A, B, C and X are proposed. These algorithms require only cubic complexity, verify the uniqueness of the contained solvent, and do not involve iterative process. Let \ap{X} be a numerical approximation to the solvent. The first and second algorithms are applicable when A and A\ap{X}+B are nonsingular and numerically computed eigenvector matrices of \ap{X}^T and \ap{X} + \inv{A}B, and \ap{X}^T and \inv{(A\ap{X}+B)}A are not ill-conditioned, respectively. The first algorithm moreover verifies the dominance and minimality of the contained solvent. Numerical results show efficiency of the algorithms

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