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162 results for “invariability”
Dataset for the article "Differentiation of Self in Adolescents: Measurement Invariance Analysis across six Spanish-Speaking Countries"
<p>Dataset of the article "Differentiation of Self in Adolescents: Measurement Invariance Analysis across six Spanish-Speaking Countries".</p>
Crosstalk Between Mucosal-Associated Invariant T (MAIT) Cells and the Gut Microbiota and Mucosa in the Development of Type 1 Diabetes in Children
ClinicalTrials.gov study NCT05054361. IPD Sharing: NO. Countries: 1. Publications: 2.
Automated location invariant animal detection in camera trap images using publicly available data sources
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Data from: The invariant nature of a morphological character and character state: insights from gene regulatory networks
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The Long Lives of Primates and the 'Invariant Rate of Ageing' Hypothesis
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Data from: An identification of invariants in life history traits of amphibians and reptiles
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Data from: Invariant antagonistic network structure despite high spatial and temporal turnover of interactions
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Data from: Orientation-invariance of individual differences in three face processing tasks
Numerous studies have reported impairments in perception and recognition, and, particularly, in part-integration of faces following picture-plane inversion. Whether these findings support the notion that inversion changes face processing qualitatively remains a topic of debate. To examine whether associations and dissociations of the human face processing ability depend on stimulus orientation, we measured face recognition with the Cambridge Face Memory Test (CFMT), along with experimental tests of face perception and selective attention to faces and non-face objects in a sample of 314 participants. Results showed strong inversion effects for all face-related tasks, and modest ones for non-face objects. Individual differences analysis revealed that the CFMT shared common variance with face perception and face-selective attention, however, independent of orientation. Regardless of whether predictor and criterion had same or different orientation, face recognition was best predicted by the same test battery. Principal component decomposition revealed a common factor for face recognition and face perception, a second common factor for face recognition and face-selective attention, and two unique factors. The patterns of factor loadings were nearly identical for upright and inverted presentation. These results indicate orientation-invariance of common variance in three domains of face processing. Since inversion impaired performance, but did not affect domain-related associations and dissociations, the findings suggest process-specific but orientationgeneral mechanisms. Specific limitations by constraints of individual differences analysis and test selection are discussed.
Data from: Complex models of sequence evolution require accurate estimators as exemplified with the invariable site plus Gamma model
The invariable site plus Γ model is widely used to model rate heterogeneity among alignment sites in maximum likelihood and Bayesian phylogenetic analyses. The proof that the invariable site plus continuous Γ model is identifiable (model parameters can be inferred correctly given enough data) has increased the creditability of its application to phylogeny reconstruction. However, most phylogenetic software implement the invariable site plus discrete Γ model, whose identifiability is likely but unproven. How well the parameters of the invariable site plus discrete Γ model are estimated is still disputed. Especially the correlation of the fraction of invariable sites with the fractions of sites with a slow evolutionary rate is discussed as being problematic. We show that optimization heuristics as implemented in frequently used phylogenetic software cannot always reliably estimate the shape parameter, the proportion of invariable sites and the tree length. Here, we propose an improved optimization heuristic that accurately estimates the three parameters. While research efforts mainly focus on tree search methods, our results signify the equal importance of verifying and developing effective estimation methods for complex models of sequence evolution.
Data from: Stimulus background influences phase invariant coding by correlated neural activity
We recently reported that correlations between the activities of peripheral afferents mediate a phase invariant representation of natural communication stimuli that is refined across successive processing stages thereby leading to perception and behavior in the weakly electric fish Apteronotus leptorhynchus (Metzen et al., 2016). Here, we explore how phase invariant coding and perception of natural communication stimuli are affected by changes in the sinusoidal background over which they occur. We found that increasing background frequency led to phase locking, which decreased both detectability and phase invariant coding. Correlated afferent activity was a much better predictor of behavior as assessed from both invariance and detectability than single neuron activity. Thus, our results not only provide further evidence that correlated activity likely determines perception of natural communication signals, but also provide a novel explanation as to why these preferentially occur on top of low frequency as well as low intensity sinusoidal backgrounds.
Data from: Invariant versus classical quartet inference when evolution is heterogeneous across sites and lineages
One reason why classical phylogenetic reconstruction methods fail to correctly infer the underlying topology is because they assume oversimplified models. In this paper we propose a quartet reconstruction method consistent with the most general Markov model of nucleotide substitution, which can also deal with data coming from mixtures on the same topology. Our proposed method uses phylogenetic invariants and provides a system of weights that can be used as input for quartet-based methods. We study its performance on real data and on a wide range of simulated 4-taxon data (both time-homogeneous and nonhomogeneous, with or without among-site rate heterogeneity, and with different branch length settings). We compare it to the classical methods of neighbor-joining (with paralinear distance), maximum likelihood (with different underlying models), and maximum parsimony. Our results show that this method is accurate and robust, has a similar performance to ML when data satisfies the assumptions of both methods, and outperforms the other methods when these are based on inappropriate substitution models. If alignments are long enough, then it also outperforms other methods when some of its assumptions are violated.
VARIANT AND INVARIANT OF THE FRENCH PROPOSITION
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The scaled-invariant Planckian metal and quantum criticality in Ce$_{1-x}$Nd$_x$CoIn$_5$
<p>Updated version of the codes and data for each figure created for the study in <em>The scaled-invariant Planckian metal and quantum criticality in Ce$_{1-x}$Nd$_x$CoIn$_5$.</em></p>
Data for "Defect detection in atomic-resolution images via unsupervised learning with translational invariance"
<p>This dataset accompanies the paper titled <em>Defect detection in atomic-resolution images via unsupervised learning with translational invariance</em> by Yueming Guo<sup>*</sup>, Sergei V. Kalinin, Hui Cai, Kai Xiao, Sergiy Krylyuk, Albert V Davydov, Qianying Guo, Andrew R. Lupini<sup>* </sup></p>
The Role of Mucosal Associated Invariant t Lymphocytes in Breast Cancer
ClinicalTrials.gov study NCT07000396. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.
Data from: Using novel phylogenetic methods to evaluate mammalian mtDNA, including amino acid-invariant sites-LogDet plus site stripping, to detect internal conflicts in the data, with special reference to the positions of hedgehog, armadillo, and elephant
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Data from: Orientation-invariance of individual differences in three face processing tasks
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Data from: Complex models of sequence evolution require accurate estimators as exemplified with the invariable site plus Gamma model
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Data from: Stimulus background influences phase invariant coding by correlated neural activity
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Data from: Temporal structure of human gaze dynamics is invariant during free viewing
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.