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Table S8. Calculation worksheet for U1422 revised depth scale (CCSF-D_Patched_rev20150416). (XLSX 98Â kb)

Description of online comparison settings. (XLSX 34 kb)

Additional file 3. Source code. This file contains the source code used to produce the paper results. The rar file includes eight Matlab scripts. Before running this code, the instructions given in Additional file 2 must be followed.

Additional file 1. Audio_example_1.

There is widespread interest in the relationship between the neurobiological systems supporting human cognition and emerging computational systems capable of emulating these capacities. Human speech comprehension, poorly understood as a neurobiological process, is an important case in point. Automatic Speech Recognition (ASR) systems with near-human levels of performance are now available, which provide a computationally explicit solution for the recognition of words in continuous speech. This research aims to bridge the gap between speech recognition processes in humans and machines, using novel multivariate techniques to compare incremental ‘machine states’, generated as the ASR analysis progresses over time, to the incremental ‘brain states’, measured using combined electro- and magneto-encephalography (EMEG), generated as the same inputs are heard by human listeners. This direct comparison of dynamic human and machine internal states, as they respond to the same incrementally delivered sensory input, revealed a significant correspondence between neural response patterns in human superior temporal cortex and the structural properties of ASR-derived phonetic models. Spatially coherent patches in human temporal cortex responded selectively to individual phonetic features defined on the basis of machine-extracted regularities in the speech to lexicon mapping process. These results demonstrate the feasibility of relating human and ASR solutions to the problem of speech recognition, and suggest the potential for further studies relating complex neural computations in human speech comprehension to the rapidly evolving ASR systems that address the same problem domain.

Final Probe Regions. Complete listing of all regions used in alignments to generate probes. (XLSX 1446Â kb)

Detailed specimen metadata

This article is a study of mourning among Shi'a Muslims during the COVID-19 pandemic through a call-in talk show called #IAMHUSSEINI. By analyzing the discourses of callers and presenters and locating them within a visual context of the television studio, this article shows how the viewership of #IAMHUSSEINI constitutes a televisual majlis (Arabic: ‘assembly') composed of more than passive asynchronous consumption and resembling what Patrick Eisenlohr refers to as ‘atmospheres'. This article argues that the COVID-19 pandemic drove #IAMHUSSEINI to recalibrate to expectations of a spatially proximate ritual, rather than sustaining a ‘natively digital' aesthetic, repurposing Richard Rogers' approach to digital methods. This change brought about a tacit understanding of the televisual majlis among #IAMHUSSEINI's viewers. This article therefore posits a difference between ‘spatial intercorporeality', in which bodies are mediated by spatial proximity, and ‘functional intercorporeality’, in which they are mediated by the material preconditions of a shared activity.

This is supplementary data for:Gatesy, S. M. and Falkingham, P.L. Hitchcock���s Leptodactyli, penetrative tracks, and dinosaur footprint diversity. Journal of Vertebrate Paleontology. DOI: https://doi.org/10.1080/02724634.2020.1781142 Data includes photos and photogrammetric reconstructions of several tracks from the Beneski Museum of Natural History, as well as input files for Liggghts simulations of a cylinder indenting a virtual substrate.

Background: The Slovenian territory is geographically positioned between the Alps, Adriatic Sea, Pannonian basin and the Dinaric Mountains and, as such, has served as a passageway for various populations in different periods of time. Turbulent historic events and diverse geography of the region have produced a diverse contemporary population whose genetic analysis could provide insight into past demographic events.Aim: The aims of this study were to characterize the Slovenian mitochondrial gene pool at the micro-geographic level and to compare it with surrounding populations.Subjects and methods: A total of 402 individuals from five Slovenian regions were analysed in this study by typing HVR I, HVR II and coding region polymorphisms of mtDNA.Results: Analysis revealed 47 haplogroups and sub-haplogroups, the most common of which were H*, H1, J1c, T2 and U5a. Intra-population comparisons revealed a sharp gradient of the J1c haplogroup between Slovenian regions, with a peak frequency of 24.5% being observed in the population of the Littoral Region.Conclusion: The sharp gradient of the J1c haplogroup between Slovenian regions is in line with the archaeological horizon known as Impressed Ware culture and could, therefore, represent a genetic trace of the early Neolithic expansion route along the East Adriatic coastal region.