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William I. Sellers

Researcher at University of Manchester

Publications -  133
Citations -  4211

William I. Sellers is an academic researcher from University of Manchester. The author has contributed to research in topics: Gait & Palimpsest. The author has an hindex of 38, co-authored 133 publications receiving 3683 citations. Previous affiliations of William I. Sellers include Manchester Academic Health Science Centre & Langley Research Center.

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Trace Metals as Biomarkers for Eumelanin Pigment in the Fossil Record

TL;DR: Results show that trace metals, such as copper, are present in fossils as organometallic compounds most likely derived from original eumelanin, which provides a long-lived biomarker of melanin presence and density within a range of fossilized organisms.
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Human-like external function of the foot, and fully upright gait, confirmed in the 3.66 million year old Laetoli hominin footprints by topographic statistics, experimental footprint-formation and computer simulation

TL;DR: In this paper, Pixel-wise topographical statistical analysis of Laetoli footprint morphology, compared with results from experimental studies of footprint formation; foot-pressure measurements in bipedalism of humans and non-human great apes; and computer simulation techniques, indicate that most of the major functional features of the human foot were already present, albeit less strongly expressed than in ourselves, in the maker of the G-1 footprint trail, 3.66 Mya.
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New insights into the plantar pressure correlates of walking speed using pedobarographic statistical parametric mapping (pSPM).

TL;DR: The negative correlation observed in the midfoot implies reduced longitudinal arch collapse with higher walking speeds, and it is speculated that preferred walking speed reflects, in part, a balance between the energy required to tighten the longitudinal arch and the apparent propulsive benefits of the stiffened arch.
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Stride lengths, speed and energy costs in walking of Australopithecus afarensis: using evolutionary robotics to predict locomotion of early human ancestors

TL;DR: Techniques from evolutionary robotics are used to predict the most energy-efficient upright walking gait for the early human relative Australopithecus afarensis, based on the proportions of the 3.2 million year old AL 288-1 ‘Lucy' skeleton, and matches predictions against the nearly contemporaneous Laetoli fossil footprint trails.
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Estimating mass properties of dinosaurs using laser imaging and 3D computer modelling.

TL;DR: The results emphasize that future biomechanical assessments of extinct taxa should be preceded by a detailed investigation of the plausible range of mass properties, in which sensitivity analyses are used to identify a suite of possible values to be tested as inputs in analytical models.