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12 results for “tooth marks”
The Category-Modifier system: a hierarchical classification scheme for vertebrate tooth marks - supplementary tables
<p>Preserved records of tooth-bone interactions, known as tooth marks, can yield a wealth of information regarding organismal behavior and ecology. For this reason, workers in a wide range of disciplines, but particularly paleontology, have inspected and interpreted these features for decades. Although previous studies have gleaned invaluable insights, they have also described tooth marks using terminological frameworks that have been incompletely defined, have incorporated behavioral hypotheses in definitions, and/or have been inconsistently applied. To address these problems, we introduce the Category-Modifier (CM) system, the first system to both sort tooth marks into clearly defined main categories and use descriptive modifiers to characterize their appearance more precisely. The CM system is designed to apply to a wide range of vertebrates, to enable comparisons across disciplines and studies, and to help researchers keep their investigations into behavioral hypotheses free of circular reasoning.</p>
The Category-Modifier system: a hierarchical classification scheme for vertebrate tooth marks - supplementary tables
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Data from: Deep learning improves taphonomic resolution: high accuracy in differentiating tooth marks made by lions and jaguars
<p>Taphonomists have long struggled with identifying carnivore agency in bone accumulation and modification. Now that several taphonomic techniques allow identifying carnivore modification of bones, a next step involves determining carnivore type. This is of utmost importance to determine which carnivores were preying on and competing with hominins and what types of interaction existed among them during prehistory. Computer vision techniques using deep architectures of convolutional neural networks (CNN) have enabled significantly higher resolution in the identification of bone surface modifications (BSM) than previous methods. Here, we apply these techniques to test the hypothesis that different carnivores create specific BSM that can enable their identification. To make differentiation more challenging, we selected two types of carnivores (lions and jaguars) that belong to the same mammal family and have similar dental morphology. We hypothesize that if two similar carnivores can be identified by the BSM they imprint on bones, then two more distinctive carnivores (e.g. hyenids and felids) should be more easily distinguished. The CNN method used here shows that tooth scores from both types of felids can be successfully classified with an accuracy greater than 82%. The first hypothesis was successfully tested. The next step will be to differentiate diverse carnivore types involving a wider range of carnivore-made BSM. The present study demonstrates that resolution increases when combining two different disciplines (taphonomy and artificial intelligence computing) in order to test new hypotheses that could not be addressed with traditional taphonomic methods.</p>
Data from: Corrigendum to: Deep learning improves taphonomic resolution: high accuracy in differentiating tooth marks made by lions and jaguars
<p>Corrigendum to "Deep learning improves taphonomic resolution: high accuracy in differentiating tooth marks made by lions and jaguars". In a previous paper, we presented some convolutional neural network (CNN) models to classify images of tooth scores made by lions and jaguars through deep learning computer vision. In that work, we reached an accuracy of 82% of the testing set correctly classified. However, such an accuracy is biased, since the original sample was highly unbalanced. Therefor, now we present the results which correct the problems of the previously published models by producing more balanced classifications and also by achieving higher accuracy.</p>
Data from: Corrigendum to: Deep learning improves taphonomic resolution: high accuracy in differentiating tooth marks made by lions and jaguars
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Data from: Deep learning improves taphonomic resolution: high accuracy in differentiating tooth marks made by lions and jaguars
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FIG. 1 in Bite-force estimation for Tyrannosaurus rex from tooth-marked bones
FIG. 1 Triceratops sp. pelvis in ventrolateralview bearing bite ma rks from an adult Tyrannosaurus rex. The sacrum and left ilium (Museu m of the Rockies specimen MOR 799, Montana State University, Bozeman, Mn have 58 definitive bite marks attributable to ' punctu re and pull' biting behaviou r by the feedin g tyrannosaur (s) 8 • Arrows denote some of the more cons picuous bite marks. Brackets bound a region where the tyrannosaur(s) removed a pproximately one-sixth of the anterior portion of the iliu m by mea ns of repetitive biti ng. Scale ba r, 25cm.
METHODS. Bovine ilia were used in the simulations because their histological structure (a fibrolamellar cortex overlying cancellous bone26) was found to match that of the Triceratops ilium. Bone sections 10 x 50 x 縠 3.0 cm with cortices ranging from 0.5 to 5.5 mm in depth (the range of initial cortical-thickness estimates based on gross morphology) were mounted on a servohydraulic mechanical loading frame (MTS Bionix, Minneapolis) and penetrated with an aluminium-bronze T. rex tooth replica. The replica was cast from an actual adult T. rex maxillary tooth, after casts made from some ofthe deeper bite marks revealed the size and shape of the teeth that had impacted the pelvis8 • The replica was penetrated into the ilia sections at 1 mm s-1 to a depth of 11.5 mm, equivalent to the maximum depth of the deepest ilium bite mark8 • Forces were measured with an MTS 25 N strain-gauge-based axial load cell accurate to 0.2%. The forces increased with increasing penetration depth even after the cortical layer had been perforated and the underlying cancellous bone was being crushed. The increase in force with penetration depth is attributed to a greater cortical surface area coming into contact with the semi-conical penetrator tooth as it descended through the ilia. in Bite-force estimation for Tyrannosaurus rex from tooth-marked bones
METHODS. Bovine ilia were used in the simulations because their histological structure (a fibrolamellar cortex overlying cancellous bone26) was found to match that of the Triceratops ilium. Bone sections 10 x 50 x 縠 3.0 cm with cortices ranging from 0.5 to 5.5 mm in depth (the range of initial cortical-thickness estimates based on gross morphology) were mounted on a servohydraulic mechanical loading frame (MTS Bionix, Minneapolis) and penetrated with an aluminium-bronze T. rex tooth replica. The replica was cast from an actual adult T. rex maxillary tooth, after casts made from some ofthe deeper bite marks revealed the size and shape of the teeth that had impacted the pelvis8 • The replica was penetrated into the ilia sections at 1 mm s-1 to a depth of 11.5 mm, equivalent to the maximum depth of the deepest ilium bite mark8 • Forces were measured with an MTS 25 N strain-gauge-based axial load cell accurate to 0.2%. The forces increased with increasing penetration depth even after the cortical layer had been perforated and the underlying cancellous bone was being crushed. The increase in force with penetration depth is attributed to a greater cortical surface area coming into contact with the semi-conical penetrator tooth as it descended through the ilia.
FIG. 2 in Bite-force estimation for Tyrannosaurus rex from tooth-marked bones
FIG. 2 Typical force against penetration curves produced during the penetration of bovine ilia by an adult Tyrannosaurus rex tooth replica. The two curves represent simulations conducted on samples with 2.5-mm thick cortices.
FIG. 3 in Bite-force estimation for Tyrannosaurus rex from tooth-marked bones
FIG. 3 Maximum penetration force values for an adult Tyrannosaurus rex tooth replica impacted through bovine ilia with varying cortical thickness. Peak penetration forces increased with increasing cortical thickness (y = 2305.402x + 646.634, r 2 = 0.91). METHODS Because of the 7-fold range of peak force values in the simulations, it was necessary to obtain precise measurements of the cortical depths penetrated by the T. rex teeth. A bone sample taken adjacent to the deepest bite mark revealed a 2.5 mm cortical thickness, From the regression equation, approximately 6,410 N offorce was required to produce the bite mark. This bite mark was made by one of the tyrannosaur's longer caniniform teeth 8, probably a tooth between the fourth and seventh maxillary positions (based upon American Museum of Natural History specimen AMNH 5027, New York). To account for the relative mechanical advantage of more posteriorly positioned teeth 27, moment calculations were used to calculate the simultaneous forces produced at the most posterior tooth positions. Values ranging from 7,870-10,300 N were projected, assuming 6,410 N of force were produced simultaneously by teeth from the fourth to seventh tooth positions. Because bone strength increases with strain rate 28 and the penetration rate of the tooth replica was just 1 mm s- 1, it is likely that the simulation force values underestimated actual forces. A tooth-impact velocity of 10 mm s-1 for a biting tyrannosaur (based on extant large reptile feeding; G.M.E., personal observations) would have required ~20% more bite force 28 • Adhering flesh 8 may have absorbed another 10% (or more) of the initial bite force 29. These considerations suggest that bite forces as high as 13,400 N could have been produced by an adult T. rex during feeding. Greater forces may have been possible during snapping bites or those involving bodily inertia to augment tooth penetration. Such biting is characteristically used when prey are seized initially (G.M.E., personal observations of reptilian feeding). Taphonomic interpretations suggest that the bite marks on the Triceratops ilium were not the result of this behaviour8. Additionally, if the tyrannosaur's contra lateral teeth were used when the deepest bite mark was made, greater bite forces may have been generated than those we estimated 13·30. This is indeterminable from MOR 799.
Data from: Using striated tooth marks on bone to predict body size in theropod dinosaurs: a model based on feeding observations of Varanus komodoensis, the Komodo monitor
Mesozoic tooth marks on bone surfaces directly link consumers to fossil assemblage formation. Striated tooth marks are believed to form by theropod denticle contact, and attempts have been made to identify theropod consumers by comparing these striations with denticle widths of contemporaneous taxa. The purpose of this study is to test whether ziphodont theropod consumer characteristics may be accurately identified from striated tooth marks on fossil surfaces. There are three major objectives; 1) experimentally produce striated tooth marks and explain how they form; 2) determine whether body size characteristics are reflected in denticle widths; 3) determine whether denticle characters are accurately transcribed onto bone surfaces in the form of striated tooth marks. Controlled feeding trials were conducted with the dental analogue Varanus komodoensis (the Komodo monitor). Goat (Capra hircus) carcasses were introduced to captive, isolated individuals. Striated tooth marks were then identified, and striation width, number, and degree of divergence were recorded for each. Denticle widths and tooth/body size characters were taken from photographs and published accounts of both theropod and V. komodoensis skeletal material, and regressions were compared among and between the two groups. Striated marks tend to be regularly striated with a variable degree of branching, and may co-occur with scores. Striation morphology directly reflects contact between the mesial carina and bone surfaces during the rostral reorientation when defleshing. Denticle width is primarily influenced by tooth size, and correlates well with body size displaying negative allometry in both groups regardless of taxon or position. When compared, striation widths fall within or below the range of denticle widths extrapolated for similar sized V. komodoensis individuals. Striation width is directly influenced by the orientation of the carina during feeding, and may underestimate but cannot overestimate denticle width. Although body size may theoretically be estimated solely by a striated tooth mark under ideal circumstances, many caveats should be considered. These include the influence of negative allometry across taxa and throughout ontogeny, the existence of theropods with extreme denticle widths, and the potential for striations to underestimate denticle widths. This method may be useful under specific circumstances, especially for establishing a lower limit body size for potential consumers.
Data from: Using striated tooth marks on bone to predict body size in theropod dinosaurs: a model based on feeding observations of Varanus komodoensis, the Komodo monitor
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