Locomotor habits and phenotypic evolution of the appendicular skeleton in the oryzomyalian radiation in the Neotropics (Sigmodontinae, Cricetidae, Rodentia)

2021 ◽  
Author(s):  
William Corrêa Tavares ◽  
Ludmilla Carvalho Coutinho ◽  
João Alves Oliveira
Keyword(s):  
Appendicular Skeleton ◽  
Phenotypic Evolution

A standardized terminology of spines in the order Siluriformes (Actinopterygii: Ostariophysi)

2021 ◽  
Author(s):  
Gustavo A Ballen ◽  
Mario C C De Pinna
Keyword(s):  
Comparative Anatomy ◽  
Appendicular Skeleton ◽  
Extensive Literature ◽  
Direct Examination ◽  
Dorsal Fin ◽  
Anatomical Nomenclature ◽  
Standardized Terminology ◽  
The Cost ◽  
First Time ◽  
Terminology System

Abstract A standardized terminology for the anatomy of pectoral- and dorsal-fin spines in the order Siluriformes is proposed based on an extensive literature review and direct examination of representatives of the order. The adult anatomy of the spines is described in detail. Terminology of various spine parts are reviewed and standardized, each term provided with a synonymic list organizing previous usage. Most of the structures treated have been recorded and named in the literature, but some are herein named for the first time. A quantitative approach is proposed for orienting decisions on name usage, aiming at minimizing differences between the terminology proposed and the vast amount of pre-existing literature, herein called the cost function. It is expected that this system will aid efforts in organizing the chaotic anatomical nomenclature of the appendicular skeleton in Siluriformes, and provide a solid basis for advances in comparative anatomy and nomenclature. The proposed terminology system has potential application on a number of fields that utilize information from catfish spines, ranging from taxonomy to phylogenetic systematics to paleontology and archaeology.

scholarly journals Serial disparity in the carnivoran backbone unveils a complex adaptive role in metameric evolution

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Borja Figueirido ◽  
Alberto Martín-Serra ◽  
Alejandro Pérez-Ramos ◽  
David Velasco ◽  
Francisco J. Pastor ◽  
...  
Keyword(s):  
Evolutionary Constraint ◽  
Phenotypic Evolution ◽  
Quantitative Studies ◽  
Thoracolumbar Region ◽  
Complex Adaptive ◽  
Dimensional Shape ◽  
A Chain ◽  
Low Dimensional ◽  
Adaptive Role ◽  
Shape Changes

AbstractOrganisms comprise multiple interacting parts, but few quantitative studies have analysed multi-element systems, limiting understanding of phenotypic evolution. We investigate how disparity of vertebral morphology varies along the axial column of mammalian carnivores — a chain of 27 subunits — and the extent to which morphological variation have been structured by evolutionary constraints and locomotory adaptation. We find that lumbars and posterior thoracics exhibit high individual disparity but low serial differentiation. They are pervasively recruited into locomotory functions and exhibit relaxed evolutionary constraint. More anterior vertebrae also show signals of locomotory adaptation, but nevertheless have low individual disparity and constrained patterns of evolution, characterised by low-dimensional shape changes. Our findings demonstrate the importance of the thoracolumbar region as an innovation enabling evolutionary versatility of mammalian locomotion. Moreover, they underscore the complexity of phenotypic macroevolution of multi-element systems and that the strength of ecomorphological signal does not have a predictable influence on macroevolutionary outcomes.

scholarly journals How Can a Deep Learning Algorithm Improve Fracture Detection on X-rays in the Emergency Room?

2021 ◽  
Vol 7 (7) ◽  
pp. 105
Author(s):  
Guillaume Reichert ◽  
Ali Bellamine ◽  
Matthieu Fontaine ◽  
Beatrice Naipeanu ◽  
Adrien Altar ◽  
...  
Keyword(s):  
Deep Learning ◽  
Emergency Room ◽  
Learning Algorithm ◽  
Traumatic Injury ◽  
Diagnostic Tools ◽  
Appendicular Skeleton ◽  
Trauma Patients ◽  
X Rays ◽  
Fracture Detection ◽  
Local Data

The growing need for emergency imaging has greatly increased the number of conventional X-rays, particularly for traumatic injury. Deep learning (DL) algorithms could improve fracture screening by radiologists and emergency room (ER) physicians. We used an algorithm developed for the detection of appendicular skeleton fractures and evaluated its performance for detecting traumatic fractures on conventional X-rays in the ER, without the need for training on local data. This algorithm was tested on all patients (N = 125) consulting at the Louis Mourier ER in May 2019 for limb trauma. Patients were selected by two emergency physicians from the clinical database used in the ER. Their X-rays were exported and analyzed by a radiologist. The prediction made by the algorithm and the annotation made by the radiologist were compared. For the 125 patients included, 25 patients with a fracture were identified by the clinicians, 24 of whom were identified by the algorithm (sensitivity of 96%). The algorithm incorrectly predicted a fracture in 14 of the 100 patients without fractures (specificity of 86%). The negative predictive value was 98.85%. This study shows that DL algorithms are potentially valuable diagnostic tools for detecting fractures in the ER and could be used in the training of junior radiologists.

Locomotory mode transitions alter phenotypic evolution and lineage diversification in an ecologically rich clade of mammals

Evolution ◽  
2021 ◽  
Author(s):  
Jonathan A. Nations ◽  
Genevieve G. Mount ◽  
Sara M. Morere ◽  
Anang S. Achmadi ◽  
Kevin C. Rowe ◽  
...  
Keyword(s):  
Phenotypic Evolution ◽  
Mode Transitions ◽  
Locomotory Mode ◽  
Lineage Diversification

scholarly journals Loss of consumers constrains phenotypic evolution in the resulting food web

2020 ◽  
Vol 4 (3) ◽  
pp. 266-277
Author(s):  
Matthew A. Barbour ◽  
Christopher J. Greyson‐Gaito ◽  
Arezoo Sotoodeh ◽  
Brendan Locke ◽  
Jordi Bascompte
Keyword(s):  
Food Web ◽  
Phenotypic Evolution

Gout in the Axial Skeleton

2009 ◽  
Vol 36 (3) ◽  
pp. 609-613 ◽  
Author(s):  
RUKMINI M. KONATALAPALLI ◽  
PAUL J. DEMARCO ◽  
JAMES S. JELINEK ◽  
MARK MURPHEY ◽  
MICHAEL GIBSON ◽  
...  
Keyword(s):  
Facet Joint ◽  
Case Reports ◽  
Case Series ◽  
Lumbar Vertebrae ◽  
Axial Skeleton ◽  
Ct Images ◽  
Common Finding ◽  
Appendicular Skeleton ◽  
Pars Interarticularis ◽  
A Prospective Study

Objective.Gout typically affects the peripheral joints of the appendicular skeleton and rarely involves the axial joints. The literature on axial gout is limited to case reports and case series. This preliminary study was conducted to identify the frequency and characteristics of axial gout.Methods.Six hundred thirty medical records with ICD codes 274.0, 274.82, and 274.9 for peripheral gout were reviewed. Ninety-two patients had clinical or crystal-proven gout, of which 64 had prior computed tomography (CT) images of the spine performed for various medical reasons. These CT images were reviewed for features of axial gout, which include vertebral erosions mainly at the discovertebral junction and the facet joints, deposits of tophi, and erosions in the vertebral body, epidural space, ligamentum flavum and pars interarticularis.Results.Nine of the 64 patients had radiographic changes suggestive of axial gout. Lumbar vertebrae were most commonly involved, with facet joint erosions being the most common finding. Isolated involvement of the sacroiliac joints was seen in 2 patients. Axial gout had been diagnosed clinically in only one patient.Conclusion.Radiologic changes of axial gout were more common than recognized clinically, with a frequency of 14%. Since not all patients had CT images, it is possible that the frequency of axial involvement was even greater. A prospective study is needed to further define this process.

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