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39 results for “composition heterogeneity”
Wing with Root Holes - Hierarchical, random and bifurcation tiling with heterogeneity in micro-structures construction via functional composition.
<p>This microstructure has been created using tools and algorithms developed at the Technion, and are part of the IRIT geometric modeling kernel (<a href="https://www.cs.technion.ac.il/~irit/">https://www.cs.technion.ac.il/~irit/</a>).</p> <p>This specific wing is a functional composition of trivariate spline tiles inside a macro trivariate shape of a wing. The root tiles have through vertical holes in them.</p> <p>Model is provided in STL format.</p>
Supplementary Information and Data for The Effect of Compositional Heterogeneity on the Martensite Start Temperature of a High Strength Steel During Rapid Austenitisation and Cooling
<p>The supplementary information and supporting data for "The Effect of Compositional Heterogeneity on the Martensite Start Temperature of a High Strength Steel During Rapid Austenitisation and Cooling" in the proceedings of the 42nd Risø International Symposium on Materials Science. The images used in the paper are also included. The files for the montaged EBSD datasets are not included but can be made available upon request. Contact the corresponding author: mark.taylor-5@manchester.ac.uk</p>
Data for "Differential effects of Daphnia genotype composition on spatial environmental heterogeneity in experimental metacommunities"
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Native diversity contributes to composition heterogeneity of exotic floras
<p>Variation in species composition among sites (beta diversity) is generally thought to be driven by environmental filtering and dispersal limitation but the role of biotic interactions has not been sufficiently addressed. Specifically, the early species in a local community may contribute to subsequent beta diversity patterns. Exotic assemblages within native communities provide a unique opportunity to study biotic interaction mechanisms. In this study, we conducted a field survey of plants over a ~1800 km transect in the middle and lower Yangtze River valley in China to study how native communities influence exotic beta diversity. The survey included 459 plots in 51 local plant communities with 40 exotic species and 103 co-occurring native species. We also investigated how 11 environmental factors involving climate conditions, soil properties and human activity regulate the interaction between native and exotic plants. The results showed that native diversity (Shannon-Wiener index) increased exotic beta diversity. Environmental conditions, especially monthly minimum temperature, influenced exotic beta diversity indirectly through native diversity rather than directly. Our results suggest that lower native diversity driven by environmental conditions, especially warmer temperatures, led to a decrease in composition heterogeneity of the exotic flora. Our results will help to incorporate biotic interactions into the framework of beta diversity mechanisms for local community assembly.</p>
FIGURE 1 in Improved modelling of compositional heterogeneity reconciles phylogenomic conflicts among lacewings
FIGURE 1. Phylogram of Neuropterida relationships based on the CAT-GTR+G4 analysis of anchored hybrid enrichment (AHE) amino acid data. All branches have a support value of ≥ 0.93 Bayesian posterior probability (BPP) except those indicated by red dots (BPP <0.9). Abbreviations: Conio., Coniopterygoidea; Dilar., Dilaroidea; Ithon., Ithonoidea; Megal., Megaloptera; Psych., Psychopsoidea; Raphi., Raphidioptera. Superfamilial classification is adapted from Engel et al. (2018).
FIGURE 2 in Improved modelling of compositional heterogeneity reconciles phylogenomic conflicts among lacewings
FIGURE 2. Congruent interfamilial relationships of Neuropterida inferred from transcriptomic (left) and AHE (right) amino acid data respectively under the site-heterogeneous CAT-GTR+G4 model. All branches have a strong support (BPP> 0.93), except for the monophyly of Myrmeleontidae (only weakly supported in AHE nucleotide data under the CAT-GTR+G4 model). Note that the transcriptomic dataset has fewer and sparser familial sampling than the AHE data.
Data from: Configurational landscape heterogeneity shapes functional community composition of grassland butterflies
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Six-state amino acid recoding is not an effective strategy to offset compositional heterogeneity and saturation in phylogenetic analyses
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Data for: Synthesis and assessment of schwertmannite/few-layer graphene composite for the degradation of sulfamethazine in heterogeneous Fenton-like reaction
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Spatial heterogeneity and habitat configuration overcome habitat composition influences on alpha and beta mammal diversity
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Native diversity contributes to composition heterogeneity of exotic floras
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The relative role of rivers, environmental heterogeneity and species traits in driving compositional changes in Southeastern Amazonian bird assemblages
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data from "The chloroplast land plant phylogeny: analyses employing better-fitting tree- and site-heterogeneous composition models"
<p>The nucleotide, codon-degenerate and protein concatenated alignments of 83 chloroplast genes, with the respective character sets, in nexus format.</p>
Data from: Mitochondrial phylogenomics of early land plants: mitigating the effects of saturation, compositional heterogeneity, and codon-usage bias
Phylogenetic analyses using concatenation of genomic-scale data have been seen as the panacea to resolving the incongruences among inferences from few or single genes. However, phylogenomics may also suffer from systematic errors, due to the, perhaps cumulative, effects of saturation, among-taxa compositional (GC content) heterogeneity, or codon-usage bias plaguing the individual nucleotide loci that are concatenated. Here we provide an example of how these factors affect the inferences of the phylogeny of early land plants based on mitochondrial genomic data. Mitochondrial sequences evolve slowly in plants and hence are thought to be suitable for resolving deep relationships. We newly assembled mitochondrial genomes from 20 bryophytes, complemented these with 40 other streptophytes (land plants plus algal outgroups), compiling a data matrix of 60 taxa and 41 mitochondrial genes. Homogeneous analyses of the concatenated nucleotide data resolve mosses as sister-group to the remaining land plants. However, the corresponding translated amino acid data support the liverwort lineage in this position. Both results receive weak to moderate support in maximum likelihood analyses, but strong support in Bayesian inferences. Tests of alternative hypotheses using either nucleotide or amino-acid data provide implicit support for the respective optimal topologies. By analyzing the nucleotide data, we found that the 3rd codon positions are more saturated than the 1st and 2nd codon positions, and excluding these from the analyses leads to a topology congruent with that obtained using amino-acid data. Further, we determined that land plant lineages differ in their nucleotide composition, and in their usage of synonymous codon variants. Composition heterogeneous Bayesian analyses employing a non-stationary model that accounts for variation in among-lineage composition, and inferences from degenerated nucleotide data that avoids the effects of synonymous mutations that underlie codon-usage bias, again recovered liverworts being sister to the remaining land plants. These analyses indicate that the discrepancy between the nucleotide-based and the amino acid-based trees is caused by the lineage specific, parallel compositional bias, or synonymous mutations driving codon-usage bias, as well as saturation in the 3rd codon positions. While genomic data may generate highly supported phylogenetic trees, these inferences may be artifacts. We suggest that phylogenomic analyses should assess the possible impact of potential biases through comparisons of protein coding gene data and their amino-acids translations, by analyzing data modeling compositional bias, and by excluding nucleotide noisy signals due to saturation or codon-usage bias. We caution against relying on any one presentation of the data (nucleotide or amino acid) or any one type of analysis even when analyzing large-scale data sets, no matter how well-supported, without fully exploring the effects of substitution models.
Utilizing CT Based Imaging Parameters of Body Composition to Understand Heterogeneity of Response to Biologic Therapies in Severe Asthma Cohorts
ClinicalTrials.gov study NCT06922760. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Additional Support for Afrotheria and Paenungulata, the Performance of Mitochondrial versus Nuclear Genes, and the Impact of Data Partitions with Heterogeneous Base Composition
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Data from: Mitochondrial phylogenomics of early land plants: mitigating the effects of saturation, compositional heterogeneity, and codon-usage bias
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The composition and origins of intravarietal genomic heterogeneity in soybean
GEO Series GSE25294. Glycine max. 6 samples. Type: Genome variation profiling by genome tiling array.
Timing of tumor initation predicts medulloblastoma heterogeneity, stem cell composition and probability of relapse [array]
GEO Series GSE155471. Mus musculus. 24 samples. Type: Expression profiling by array.
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