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      Birds can transition between stable and unstable states via wing morphing

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          Abstract

          Birds morph their wing shape to accomplish extraordinary manoeuvres 14 , which are governed by avian-specific equations of motion. Solving these equations requires information about a bird’s aerodynamic and inertial characteristics 5 . Avian flight research to date has focused on resolving aerodynamic features, whereas inertial properties including centre of gravity and moment of inertia are seldom addressed. Here we use an analytical method to determine the inertial characteristics of 22 species across the full range of elbow and wrist flexion and extension. We find that wing morphing allows birds to substantially change their roll and yaw inertia but has a minimal effect on the position of the centre of gravity. With the addition of inertial characteristics, we derived a novel metric of pitch agility and estimated the static pitch stability, revealing that the agility and static margin ranges are reduced as body mass increases. These results provide quantitative evidence that evolution selects for both stable and unstable flight, in contrast to the prevailing narrative that birds are evolving away from stability 6 . This comprehensive analysis of avian inertial characteristics provides the key features required to establish a theoretical model of avian manoeuvrability.

          Abstract

          Analysis of inertial characteristics across 22 bird species shows that evolution has selected for avian manoeuvrability using both stable and unstable flight dynamics.

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          NIH Image to ImageJ: 25 years of image analysis

          For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            MCMC Methods for Multi-Response Generalized Linear Mixed Models: TheMCMCglmmRPackage

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              geiger v2.0: an expanded suite of methods for fitting macroevolutionary models to phylogenetic trees.

              Phylogenetic comparative methods are essential for addressing evolutionary hypotheses with interspecific data. The scale and scope of such data have increased dramatically in the past few years. Many existing approaches are either computationally infeasible or inappropriate for data of this size. To address both of these problems, we present geiger v2.0, a complete overhaul of the popular R package geiger. We have reimplemented existing methods with more efficient algorithms and have developed several new approaches for accomodating heterogeneous models and data types.
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                Author and article information

                Contributors
                harveyca@umich.edu
                Journal
                Nature
                Nature
                Nature
                Nature Publishing Group UK (London )
                0028-0836
                1476-4687
                9 March 2022
                9 March 2022
                2022
                : 603
                : 7902
                : 648-653
                Affiliations
                [1 ]GRID grid.214458.e, ISNI 0000000086837370, Department of Aerospace Engineering, , University of Michigan, ; Ann Arbor, MI USA
                [2 ]GRID grid.17091.3e, ISNI 0000 0001 2288 9830, Department of Zoology, , University of British Columbia, ; Vancouver, British Columbia Canada
                Author information
                http://orcid.org/0000-0002-2830-0844
                http://orcid.org/0000-0002-9367-8974
                http://orcid.org/0000-0002-1364-3617
                http://orcid.org/0000-0001-6195-1334
                Article
                4477
                10.1038/s41586-022-04477-8
                8942853
                35264798
                0f7f908b-3021-40d9-94fa-72eacf4444b4
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 July 2021
                : 26 January 2022
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                © The Author(s), under exclusive licence to Springer Nature Limited 2022

                Uncategorized
                biomechanics,aerospace engineering
                Uncategorized
                biomechanics, aerospace engineering

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