4,320 research outputs found

    Morphological convergence and character displacement in two species of polymorphic salamanders (genus Plethodon) in eastern Tennessee

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    In situations involving the co-occurrence ecologically similar species, one of two different evolutionary responses is often expected. If sympatry results in competition over a shared resource, character displacement would be a favored outcome, while morphological convergence is an alternative outcome if the species have similar responses to the shared environment. In this study, I examine cranial morphology and dorsal coloration of two ecologically similar salamander species (Plethodon serratus, the Southern Red-backed Salamander, and P. ventralis, the Southern Zig-zag Salamander) to evaluate the alternative hypotheses of character displacement or convergence. Results from linear morphometrics analyses showed no significant shifts in morphology of either species suggestive of either character displacement or convergence in any of the measured traits. However, geometric morphometric analyses showed significant morphological convergence of the two species in sympatry. In contrast, the presence or absence of a dorsal stripe showed evidence of character displacement, corroborating an earlier claim made by Highton. These results are unexpected in that features associated with feeding (cranial morphology) are expected to often exhibit character displacement if dietary resource partitioning is an important mechanism of coexistence, whereas coloration might be expected to show local convergence if its primary function is camouflage or aposematism. Convergence might reflect the overwhelming influence of developmental responses to shared environments or convergent adaptation to local prey communities. Displacement with respect to color polymorphism might be consistent with frequency-dependent selection maintaining alternative ways of being cryptic

    Behind the Mask: A Computational Study of Anonymous' Presence on Twitter

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    The hacktivist group Anonymous is unusual in its public-facing nature. Unlike other cybercriminal groups, which rely on secrecy and privacy for protection, Anonymous is prevalent on the social media site, Twitter. In this paper we re-examine some key findings reported in previous small-scale qualitative studies of the group using a large-scale computational analysis of Anonymous' presence on Twitter. We specifically refer to reports which reject the group's claims of leaderlessness, and indicate a fracturing of the group after the arrests of prominent members in 2011-2013. In our research, we present the first attempts to use machine learning to identify and analyse the presence of a network of over 20,000 Anonymous accounts spanning from 2008-2019 on the Twitter platform. In turn, this research utilises social network analysis (SNA) and centrality measures to examine the distribution of influence within this large network, identifying the presence of a small number of highly influential accounts. Moreover, we present the first study of tweets from some of the identified key influencer accounts and, through the use of topic modelling, demonstrate a similarity in overarching subjects of discussion between these prominent accounts. These findings provide robust, quantitative evidence to support the claims of smaller-scale, qualitative studies of the Anonymous collective

    Employment and Labor Law

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    Employment Law

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    Employment Law

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