3,074 research outputs found
Antimagic Labelings for Trees of Order 3 to 25
No full textThe archive contains 1679 compressed files, each containing 100000 text files, except the last compressed file which contains 79144 text files. This is a total of 167879144 text files, corresponding to the 167879144 unlabeled trees from order 3 to order 25 (cf. entry A000055 in The On-Line Encyclopedia of Integer Sequences).
Each text file is named tree--.viz where is the order of the tree (number of vertices) and is a unique identifier. Each text file represents a unique tree with labeled vertices and edges in the DOT graph description language. The vertex/edge labeling corresponds to an antimagic labeling found by an evolutionary algorithm as presented in the paper "Finding Antimagic Labelings of Trees by Evolutionary Search" by L. Branson and A. M. Sutton. https://doi.org/10.1145/3594805.3607133This dataset contains antimagic labelings of all trees of order 3 to 25 as described in the paper "Finding Antimagic Labelings of Trees by Evolutionary Search"National Science Foundation Grant No. 2144080Branson, Luke; Sutton, Andrew M. (2023). Antimagic Labelings for Trees of Order 3 to 25. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/pnrb-cm94
Approximating the distribution of fitness over hamming regions
No full textAndrew M. Sutton, L. Darrell Whitley, Adele E. How
Mutation rates of the (1+1)-EA on pseudo-Boolean functions of bounded epistasis
No full textAndrew M. Sutton, L. Darrell Whitley, Adele E. How
Female_Raters_QJEP – Supplemental material for Valence, arousal, and dominance ratings for facial stimuli
No full textSupplemental material, Female_Raters_QJEP for Valence, arousal, and dominance ratings for facial stimuli by Tina M Sutton, Andrew M Herbert and Dailyn Q Clark in Quarterly Journal of Experimental Psychology</p
Male_Raters_QJEP – Supplemental material for Valence, arousal, and dominance ratings for facial stimuli
No full textSupplemental material, Male_Raters_QJEP for Valence, arousal, and dominance ratings for facial stimuli by Tina M Sutton, Andrew M Herbert and Dailyn Q Clark in Quarterly Journal of Experimental Psychology</p
AllRaters_QJEP – Supplemental material for Valence, arousal, and dominance ratings for facial stimuli
No full textSupplemental material, AllRaters_QJEP for Valence, arousal, and dominance ratings for facial stimuli by Tina M Sutton, Andrew M Herbert and Dailyn Q Clark in Quarterly Journal of Experimental Psychology</p
Population size matters: rigorous runtime results for maximizing the hypervolume indicator
No full textAbstract not availableAnh Quang Nguyen, Andrew M. Sutton, Frank Neuman
Speciesism in everyday language
No full textSpeciesism, like other forms of prejudice, is thought to be underpinned by biased patterns of language use. Thus far, however, psychological science has primarily focused on how speciesism is reflected in individuals' thoughts as opposed to wider collective systems of meaning such as language. We present a large-scale quantitative test of speciesism by applying machine-learning methods (word embeddings) to billions of English words derived from conversation, film, books, and the Internet. We found evidence of anthropocentric speciesism: words denoting concern (vs. indifference) and value (vs. valueless) were more closely associated with words denoting humans compared to many other animals. We also found evidence of companion animal speciesism: the same words were more closely associated with words denoting companion animals compared to most other animals. The work describes speciesism as a pervasive collective phenomenon that is evident in a naturally occurring expression of human psychology – everyday language
Word embeddings reveal growing moral concern for people, animals, and the environment
No full textThe Enlightenment idea of historical moral progress asserts that civil societies become more moral over time. This is often understood as an expanding moral circle and is argued to be tightly linked with language use, with some suggesting that shifts in how we express concern for others can be considered an important indicator of moral progress. Our research explores these notions by examining historical trends in natural language use during the 19th and 20th centuries. We found that the associations between words denoting moral concern and words referring to people, animals, and the environment grew stronger over time. The findings support widely-held views about the nature of moral progress by showing that language has changed in a way that reflects greater concern for others
Biosensors for detecting stress in developing embryos
No full textAbstract not availableMalcolm S. Purdey, Avishkar Saini, Hanna J. McLennan, Benjamin J. Pullen, Erik P. Schartner, Melanie L. Sutton-McDowall, Jeremy G. Thompson, Tanya M. Monro, Stephen J. Nicholls and Andrew D. Abel
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