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      Predictive simulations of running gait reveal a critical dynamic role for the tail in bipedal dinosaur locomotion

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          Abstract

          Abstract

          Computer simulations reveal a previously unrecognized, but critical, role of the tail in dinosaur locomotion.

          Abstract

          Locomotion has influenced the ecology, evolution, and extinction of species throughout history, yet studying locomotion in the fossil record is challenging. Computational biomechanics can provide novel insight by mechanistically relating observed anatomy to whole-animal function and behavior. Here, we leverage optimal control methods to generate the first fully predictive, three-dimensional, muscle-driven simulations of locomotion in an extinct terrestrial vertebrate, the bipedal non-avian theropod dinosaur Coelophysis. Unexpectedly, our simulations involved pronounced lateroflexion movements of the tail. Rather than just being a static counterbalance, simulations indicate that the tail played a crucial dynamic role, with lateroflexion acting as a passive, physics-based mechanism for regulating angular momentum and improving locomotor economy, analogous to the swinging arms of humans. We infer this mechanism to have existed in many other bipedal non-avian dinosaurs as well, and our methodology provides new avenues for exploring the functional diversity of dinosaur tails in the future.

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          On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming

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            OpenSim: open-source software to create and analyze dynamic simulations of movement.

            Dynamic simulations of movement allow one to study neuromuscular coordination, analyze athletic performance, and estimate internal loading of the musculoskeletal system. Simulations can also be used to identify the sources of pathological movement and establish a scientific basis for treatment planning. We have developed a freely available, open-source software system (OpenSim) that lets users develop models of musculoskeletal structures and create dynamic simulations of a wide variety of movements. We are using this system to simulate the dynamics of individuals with pathological gait and to explore the biomechanical effects of treatments. OpenSim provides a platform on which the biomechanics community can build a library of simulations that can be exchanged, tested, analyzed, and improved through a multi-institutional collaboration. Developing software that enables a concerted effort from many investigators poses technical and sociological challenges. Meeting those challenges will accelerate the discovery of principles that govern movement control and improve treatments for individuals with movement pathologies.
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              OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement

              Movement is fundamental to human and animal life, emerging through interaction of complex neural, muscular, and skeletal systems. Study of movement draws from and contributes to diverse fields, including biology, neuroscience, mechanics, and robotics. OpenSim unites methods from these fields to create fast and accurate simulations of movement, enabling two fundamental tasks. First, the software can calculate variables that are difficult to measure experimentally, such as the forces generated by muscles and the stretch and recoil of tendons during movement. Second, OpenSim can predict novel movements from models of motor control, such as kinematic adaptations of human gait during loaded or inclined walking. Changes in musculoskeletal dynamics following surgery or due to human–device interaction can also be simulated; these simulations have played a vital role in several applications, including the design of implantable mechanical devices to improve human grasping in individuals with paralysis. OpenSim is an extensible and user-friendly software package built on decades of knowledge about computational modeling and simulation of biomechanical systems. OpenSim’s design enables computational scientists to create new state-of-the-art software tools and empowers others to use these tools in research and clinical applications. OpenSim supports a large and growing community of biomechanics and rehabilitation researchers, facilitating exchange of models and simulations for reproducing and extending discoveries. Examples, tutorials, documentation, and an active user forum support this community. The OpenSim software is covered by the Apache License 2.0, which permits its use for any purpose including both nonprofit and commercial applications. The source code is freely and anonymously accessible on GitHub, where the community is welcomed to make contributions. Platform-specific installers of OpenSim include a GUI and are available on simtk.org.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: MethodologyRole: ResourcesRole: SoftwareRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: MethodologyRole: ResourcesRole: SoftwareRole: SupervisionRole: Writing - review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing - review & editing
                Journal
                Sci Adv
                sciadv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                September 2021
                22 September 2021
                : 7
                : 39
                : eabi7348
                Affiliations
                [1 ]Department of Comparative Biomedical Sciences, Royal Veterinary College, Hatfield AL9 7TA, UK.
                [2 ]Geosciences Program, Queensland Museum, Brisbane, Queensland 4011, Australia.
                [3 ]Department of Movement Sciences, KU Leuven, Leuven 3000, Belgium.
                [4 ]Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
                Author notes
                [* ]Corresponding author. Email: pbishop@ 123456fas.harvard.edu (P.J.B.); jhutchinson@ 123456rvc.ac.uk (J.R.H.)
                [†]

                Present address: Museum of Comparative Zoology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.

                Author information
                https://orcid.org/0000-0003-2702-0557
                https://orcid.org/0000-0001-9541-0886
                https://orcid.org/0000-0002-4255-8673
                https://orcid.org/0000-0002-6767-7038
                Article
                abi7348
                10.1126/sciadv.abi7348
                8457660
                34550734
                dd6da9d2-74ae-4c2f-9de0-9dd3d25f8f1c
                Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 29 March 2021
                : 30 July 2021
                Funding
                Funded by: doi http://dx.doi.org/10.13039/100010663, H2020 European Research Council;
                Award ID: Advanced Investigator Grant 695517
                Funded by: Research Foundation Flanders;
                Award ID: G079216N
                Categories
                Research Article
                Earth, Environmental, Ecological, and Space Sciences
                SciAdv r-articles
                Paleontology
                Life Sciences
                Paleontology
                Custom metadata
                Mjoy Azul

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