The establishment of homologies is critically dependent upon the process of character identification. Valid characters must reliably appear in many individuals and be delimitable from other characters. They are not defined by any essential attributes, but rather by the formation of distinct clusters in a multidimensional morphospace. Features in two or more species can be considered possible homologues only if they are identifiable as the same character, for it would be nonsensical to homologize them as different characters. In order to confirm that a character is indeed homologous between species, one must examine its phylogenetic distribution to determine that it is unlikely to have evolved several times independently in the taxa being compared. This method of homologue identification can be applied to embryonic as well as adult characters and to characters at various levels of organization, including cell types and cellular aggregates. Difficulties arise, however, when one attempts to link the homology of adult characters to that of their embryonic precursors, or the homology of cellular aggregates to that of their constituent cell types. These efforts are misguided because different characters cannot be homologized to each other (as different characters). This perspective suggests that many neural characters may lack homologues, and therefore be truly novel, in other taxa.
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http://dx.doi.org/10.1002/9780470515655.ch11 | DOI Listing |
J Am Chem Soc
January 2025
Department of Physics, Alba Nova Research Center, Stockholm University, Stockholm SE-106 91 Sweden.
Iron-doped nickel oxyhydroxides, Ni(Fe)OH, are among the most promising oxygen evolution reaction (OER) electrocatalysts in alkaline environments. Although iron (Fe) significantly enhances the catalytic activity, there is still no clear consensus on whether Fe directly participates in the reaction or merely acts as a promoter. To elucidate the Fe's role, we performed X-ray spectroscopy studies supported by DFT on Ni(Fe)OH electrocatalysts.
View Article and Find Full Text PDFPlants (Basel)
January 2025
Departamento de Ciências Biológicas, Universidade Estadual de Feira de Santana, Av. Transnordestina s.n., Feira de Santana 44036-900, Bahia, Brazil.
series was created by Barneby in 1991, embracing species diagnosed by their small subshrubby habit and the presence of gland-tipped setae and trimerous flowers. Most species are endemic to Northeastern Brazil, and some possess characters deemed diagnostic which nonetheless overlap, making species identification difficult. Our study aimed to test species circumscriptions and sets of characters that could be applied to unequivocally distinguish the species.
View Article and Find Full Text PDFPolymers (Basel)
January 2025
Institute of Graduate Studies, Bioengineering Division, Tokat Gaziosmanpaşa University, 60250 Tokat, Türkiye.
Hernia repair is the most common surgical operation applied worldwide. Mesh prostheses are used to support weakened or damaged tissue to decrease the risk of hernia recurrence. However, the patches currently used in clinic applications have significant short-term and long-term risks.
View Article and Find Full Text PDFPathogens
January 2025
Facultad de Ciencias, Universidad Autónoma de Baja California, Ensenada 22860, BC, Mexico.
is the parasite responsible for Chagas disease, which has a significant amount of genetic diversification among the species complex. Many efforts are routinely made to characterize the genetic lineages of circulating in a particular geographic area. However, the genetic loci used to typify the genetic lineages of have not been consistent between studies.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Architectural Engineering, Dankook University, 152 Jukjeon-ro, Yongin-si 16890, Republic of Korea.
In the construction industry, ensuring the proper installation, retention, and dismantling of temporary structures, such as jack supports, is critical to maintaining safety and project timelines. However, inconsistencies between on-site data and construction documentation remain a significant challenge. To address this, this study proposes an integrated monitoring framework that combines computer vision-based object detection and document recognition techniques.
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