Irina A. Novikova · The Encyclopedia of Cross‐Cultural Psychology · 2013
Trait theory is one of the major approaches to the study of human personality. In the framework of this approach, personality traits are defined as habitual patterns of behavior, thought, and emotion that are manifest in a wide range of situations. The most important features of traits are relative stability over time, different degrees of expression in different individuals, and influence on behavior.
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Wei Liu (20030), Wenxuan Deng (14853814), Ming Chen (115604) et al. · Figshare · 2023
<p>Different colors indicate the correlation level and the stars indicate the significant correlations after Bonferroni correction. a) Trait-trait correlation calculated from cell-disease associations in adult non-brain tissues. b) Trait-trait correlation based on cell-disease associations in fetal brain tissues.</p>
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Mark I. McCarthy, Steven Wiltshire · Dictionary of Bioinformatics and Computational Biology · 2004
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Parel, Francis · 2017
Automne 2005, Paris. Le commissaire Loris Thomas et la journaliste Alicia Henry enquêtent sur l'attentat à la station de métro Châtelet. L'affaire se complique lorsqu'Alicia apparaît sur les caméras de vidéosurveillance. De Saïda à Beyrouth, Le Caire et Paris, une enquête avec en toile de fond la guerre du Liban et les camps de réfugiés palestiniens. (source Electre)
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Kira Borgdorf, Cornelia Wrzus, Corina Aguilar-Raab et al. · OSF Preprints (OSF Preprints) · 2025
Materials, Data, and Analysis Code "When state-trait trajectories do not align: State mindfulness does not predict trait changes of mindfulness, self-compassion, or perceived stress."
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Lander, Daniel (1927-2013). Auteur du texte · Gallica (Bibliothèque nationale de France) · 1995
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Brian Weeks · Zenodo (CERN European Organization for Nuclear Research) · 2025
This is the pipeline used for imputing missing values in a large-scale trait dataset assembled using Skelevision. Using phylogenetic models, we estimate values for traits that were not confidently measured by Skelevision. This approach is outlined in detail in: Weeks, B.C., Z. Zhou, C.M. Probst, J.S. Berv, B. O'Brien, B.W. Benz, H.R. Skeen, M. Ziebell, L. Bodt, and D.F. Fouhey. 2024. Skeletal trait measurements for thousands of bird species. bioRxiv. doi: https://doi.org/10.1101/2024.12.19.629481 The trait imputation is done in R; users can implement the approach for the Weeks et al. (2024) dataset using the Trait Imputation_2-5-25.R script. The script requires functions found in the data_cleaning_functions.R script.
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National Human Genome Research Institute (NHGRI) · Definitions · 2019
A trait is a specific characteristic of an organism.T raits can be determined by genes or the environment, or more commonly by interactions between them.T he genetic contribution to a trait is called the genotype.T he outward expression of the genotype is called the phenotype.
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Filomena Maggino · 2023
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Ian P. Stolerman, Lawrence H. Price · 2015
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Feng Yu · 2024
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National Cancer Institute · Definitions · 2020
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Tzi‐cker Chiueh, Randy H. Katz · ACM SIGMOD Record · 1991
article Free Access Share on Trait: an attribute management system for VLSI design objects Authors: Tzi-cker Chiueh Department of Electrical Engineering and Computer Science, University of California, Berkeley, CA Department of Electrical Engineering and Computer Science, University of California, Berkeley, CAView Profile , Randy Katz Department of Electrical Engineering and Computer Science, University of California, Berkeley, CA Department of Electrical Engineering and Computer Science, University of California, Berkeley, CAView Profile Authors Info & Claims ACM SIGMOD RecordVolume 20Issue 2June 1991 pp 228–237https://doi.org/10.1145/119995.115826Published:01 April 1991Publication History 3citation230DownloadsMetricsTotal Citations3Total Downloads230Last 12 Months12Last 6 weeks4 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
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Yu‐Qi Feng · 2024
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The Dictionary of Genomics, Transcriptomics and Proteomics · 2015
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2021
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2005
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Carolyn A. Wessinger (3250341), Amanda M. Katzer (7070837), Paul M. Hime (3284292) et al. · Figshare · 2023
<div><p>In the formation of species, adaptation by natural selection generates distinct combinations of traits that function well together. The maintenance of adaptive trait combinations in the face of gene flow depends on the strength and nature of selection acting on the underlying genetic loci. Floral pollination syndromes exemplify the evolution of trait combinations adaptive for particular pollinators. The North American wildflower genus <i>Penstemon</i> displays remarkable floral syndrome convergence, with at least 20 separate lineages that have evolved from ancestral bee pollination syndrome (wide blue-purple flowers that present a landing platform for bees and small amounts of nectar) to hummingbird pollination syndrome (bright red narrowly tubular flowers offering copious nectar). Related taxa that differ in floral syndrome offer an attractive opportunity to examine the genomic basis of complex trait divergence. In this study, we characterized genomic divergence among 229 individuals from a <i>Penstemon</i> species complex that includes both bee and hummingbird floral syndromes. Field plants are easily classified into species based on phenotypic differences and hybrids displaying intermediate floral syndromes are rare. Despite unambiguous phenotypic differences, genome-wide differentiation between species is minimal. Hummingbird-adapted populations are more genetically similar to nearby bee-adapted populations than to geographically distant hummingbird-adapted populations, in terms of genome-wide <i>d</i><sub><i>XY</i></sub>. However, a small number of genetic loci are strongly differentiated between species. These approximately 20 “species-diagnostic loci,” which appear to have nearly fixed differences between pollination syndromes, are sprinkled throughout the genome in high recombination regions. Several map closely to previously established floral trait quantitative trait loci (QTLs). The striking difference between the diagnostic loci and the genome as whole suggests strong selection to maintain distinct combinations of traits, but with sufficient gene flow to homogenize the genomic background. A surprisingly small number of alleles confer phenotypic differences that form the basis of species identity in this species complex.</p></div>
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Marc-Antoine Durand · SPIRE - Sciences Po Institutional REpository · 2024
Exposition "Barto+Barto, Trait pour Trait"
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Francesco de Bello, Carlos P. Carmona, Norman W. H. Mason et al. · Journal of Vegetation Science · 2013
Abstract Question Many functional diversity indices require the calculation of functional trait dissimilarities between species. However, very little is known about how the dissimilarity measure used might affect conclusions about ecological processes drawn from functional diversity. Methods We simulated real applications of functional diversity, to illustrate the key properties of the two most common families of dissimilarity measures: (1) ‘Gower’ distance, using only ‘mean trait’ value per species and then standardizing each trait, e.g. relative to its range; (2) ‘trait overlap’ between species, which takes into account within‐species trait variability. We then examine how these approaches could affect conclusions about ecological processes commonly assessed with functional diversity. We also propose a new R function (‘trova’, i.e. TR ait OV erlAp) which performs computations to estimate species trait dissimilarity with different types of data. Results The trait overlap approach generally produces a less context‐dependent measure of functional dissimilarity. For example, the results are less dependent on the transformation of trait data (often required in empirical datasets) and on the particular pool of species considered (i.e. trait range, regularity and presence of outliers). The results therefore could be more easily compared across studies and biomes. Further, trait overlap more reliably reproduces patterns expected when niche differentiation structures communities. The Gower approach, on the contrary, more reliably detects environmental filtering effects. Conclusion The two approaches imply different conceptions of how species dissimilarities relate to niche differentiation. Trait overlap is suitable for testing the effect of species interactions on functional diversity within local communities, especially when relatively small differences in species traits are linked to different resource acquisition. Gower is better suited to detecting changes in functional diversity along environmental gradients, as greater differences in trait values reflect increased niche differentiation. Combining trait overlap and Gower approaches may provide a novel way to assess the joint effects of environmental filtering and niche complementarity on community assembly. We suggest that attention should be given not only to the index of functional diversity considered but also whether the dissimilarity used is appropriate for the study context.
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