A new process-based dynamic occupancy model with dispersal-pressure colonization and sparse matrices enables large-scale study of range dynamics and disentangles dispersal from habitat effects in non-equilibrium conditions.
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2017.brms: AnRPackage for Bayesian Multilevel Models UsingStan.Journal of Statistical Software80, 1 (2017)
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Large-scale statistical analysis of four harmful language datasets reveals that interactions between annotator characteristics and linguistic cues drive annotation variation, with lexical features and attitudes prominent but patterns varying by dataset.
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Song introductions stimulate interest in unfamiliar music primarily through narrative transportation, with cognitive elaboration as a weaker but easier-to-implement secondary factor.
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A process-based dynamic occupancy model to study range dynamics under non-equilibrium conditions
A new process-based dynamic occupancy model with dispersal-pressure colonization and sparse matrices enables large-scale study of range dynamics and disentangles dispersal from habitat effects in non-equilibrium conditions.
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Who and What? Using Linguistic Features and Annotator Characteristics to Analyze Annotation Variation
Large-scale statistical analysis of four harmful language datasets reveals that interactions between annotator characteristics and linguistic cues drive annotation variation, with lexical features and attitudes prominent but patterns varying by dataset.
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Dynamics of collective creativity in AI art competitions
Large-scale analysis of Artbreeder remix parties finds images simplify and converge on thematic attractors, with trade-offs between novelty, complexity, and party size in human-AI creative lineages.
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Let Me Introduce You: Stimulating Taste-Broadening Serendipity Through Song Introductions
Song introductions stimulate interest in unfamiliar music primarily through narrative transportation, with cognitive elaboration as a weaker but easier-to-implement secondary factor.
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Spectro-Polarimetric Observations of TeV Sources (SPOTS): First results
First results from the SPOTS campaign reveal low average optical polarization (≲10%) and low magnetic field ordering (F_B ≲0.10) across 14 TeV blazars, with stochastic or rotating polarization angles and wavelength-dependent behavior indicating complex, turbulent jet structures.