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346 results for “functional integration”
Exploratory Trial to Assess the Functionality of an Integrated Call Center for the Digital Medicine System
ClinicalTrials.gov study NCT02722967. IPD Sharing: NO. Countries: 1. Publications: 1.
Improving Mind/Body Health and Functioning With Integrative Exercise
ClinicalTrials.gov study NCT02856412. IPD Sharing: NO. Countries: 1. Publications: 1.
Integrative taxonomy, larval biology and functional morphology of the little known gall-forming coral endoparasite Petrarca (Thecostraca: Ascothoracida)
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Integrating single-cell biophysical and transcriptomic features to resolve functional heterogeneity in mantle cell lymphoma
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Data from: The demographic effects of functional traits: an integral projection model approach reveals population-level consequences of reproduction-defense tradeoffs
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Quantifying the complexity of plant reproductive structures reveals a history of morphological and functional integration
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Data from: Mannose glycosylation is an integral step for human NIS localization and function in breast cancer cells
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Space resource utilization of dominant species integrates abundance- and functional-based processes for better predictions of plant diversity dynamics
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Data from: Integrative genomic analysis in African American children with asthma finds 3 novel loci associated with lung function
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Integrating predator energetic balance, risk-taking behavior and microhabitat in functional response to untangle indirect interactions in a multispecies vertebrate community
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Taxonomic and functional annotations of the Integrated non-redundant Gene Catalog 9.9
<p>The Integrated non-redundant Gene Catalog (<strong>IGC</strong>) 9.9 is a database of 9.9 million genes from 1267 individual fecal samples together with the Homo sapiens database (MetaHIT project, grant agreement 201052). This repository contains the taxonomic and functional annotation of the IGC database.</p> <p><strong>full_taxonomy_MetaHIT99.tsv </strong>: Taxonomic assignment of proteins from IGC database with the sequence aligner DIAMOND against the non-redundant NCBI database, with an e-value threshold of 10<sup>-4</sup> </p> <p><strong>KEGG89_IGC_hs99.table</strong> : Functional annotation of proteins from IGC database with KEGG resource with an e-value threshold of 10<sup>-5</sup>, a bit-score threshold of 60 and using the sensitive mode of DIAMOND</p>
Integrating functional connectivity in designing networks of protected areas under climate change: a caribou case-study
<p>Land-use change and climate change are recognized as two main drivers of the current biodiversity decline. Protected areas help safeguard the landscape from additional anthropogenic disturbances and, when properly designed, can help species cope with climate change impacts. When designed to protect the regional biodiversity rather than to conserve focal species or landscape elements, protected areas need to cover a representative sample of the regional biodiversity and be functionally connected, facilitating individual movements among protected areas in a network to maximize their effectiveness. We developed a methodology to define effective protected areas to implement in a regional network using ecological representativeness and functional connectivity as criteria. We illustrated this methodology in the Gaspésie region of Québec, Canada. We simulated movements for the endangered Atlantic-Gaspésie caribou population (<i>Rangifer tarandus caribou</i>), using an individual-based model, to determine functional connectivity based on this large mammal. We created multiple protected areas network scenarios and evaluated their ecological representativeness and functional connectivity for the current and future conditions. We selected a subset of the most effective network scenarios and extracted the protected areas included in them. There was a tradeoff between ecological representativeness and functional connectivity for the created networks. Only a few protected areas among those available were repeatedly chosen in the most effective networks. Protected areas maximizing both ecological representativeness and functional connectivity represented suitable areas to implement in an effective protected areas network. These areas ensured that a representative sample of the regional biodiversity was covered by the network, as well as maximizing the movement over time between and inside the protected areas for the focal population.</p>
Data from: Ontogenetic changes in the phenotypic integration and modularity of leaf functional traits
1.Changes in resource availability, functional demands, hormonal regulation and developmental constraints can promote differences in the expression of leaf traits during plant development and foster changes in the targets of natural selection. As a consequence, the pattern and magnitude of covariation among traits, and therefore their phenotypic integration and modularity are equally expected to change throughout ontogeny. However, these changes have not been described yet. 2.We measured leaf economic, defensive and morphological traits in plants of Turnera velutina and estimated the magnitude and pattern of foliar integration and modularity for juvenile and reproductive individuals. In addition, we assessed the relationship between plant biomass and foliar integration within and among ontogenetic stages. 3.Both the pattern and magnitude of foliar integration changed across plant ontogeny. Foliar integration was lower in juvenile than in reproductive plants, and the pattern of phenotypic integration and modularity was different between ontogenetic stages: whereas leaves from juvenile plants showed two functional modules related to plant defence and leaf economy, traits from reproductive plants had greater interconnectivity and hence lower modularity. 4.The relationship between plant biomass and foliar integration was negative within each ontogenetic stage but positive between ontogenetic stages, suggesting that processes intrinsic to plant development influenced the magnitude of foliar integration to a greater extent than plant size. 5.Our findings indicate that plants can change the patterns of covariation among leaf traits during their development. Whereas a lower foliar integration in juvenile plants could allow for greater lability to explore a multi-trait phenotypic space, canalization of leaf attributes along ontogeny should promote greater phenotypic integration, constraining the number of multi-trait combinations that plants can express. Hence, we suggest that ontogenetic changes in foliar integration allow plants to deal with changing selective dynamics and physiological priorities along their development.
Benchmark dataset for protein function prediction that integrates various protein information
<p>This research was funded by the National Science Centre in Poland (grant number 2021/41/N/ST6/01919)</p>
Data for: Habitat functionality: integrating environmental and geographic space in niche modelling for conservation planning
<p>Niche modelling is typically used to assess the effects of anthropogenic land use and climate change on species distributions and to inform spatial conservation planning. These models focus on the suitability of local biotic and abiotic conditions for a species in environmental space (E-space). Although movements also affect species occurrence, efforts to formally integrate geographic space (G-space) into niche modelling have been hindered by the lack of comprehensive theoretical frameworks. </p> <p>We propose the 'functional habitat' framework to define areas that are simultaneously of high-quality in E-space and functionally connected to other suitable habitat in G-space. Originating in metapopulation ecology, approaches have been developed to assess the amount of suitable connected habitat, based on the proximity between pairs of locations. Using network theory, which operates in topological space (T-space, defined by a network), we extended these metapopulation approaches to integrate movement constraints in G-space with niche modelling in E-space. </p> <p>We demonstrate the functional habitat framework using empirical data (GPS-tracking and population monitoring) throughout the European wild mountain reindeer (<em>Rangifer t. tarandus</em>) distribution range. We show that functional habitat outperforms traditional suitability in explaining the species' distribution. This approach integrates effects from habitat loss and fragmentation for spatial conservation planning and avoids overemphasizing small, inaccessible areas with locally suitable habitat. The functional habitat framework formally integrates biotic, abiotic, and movement constraints in niche modeling using network theory, thus opening a wide range of applications in spatial conservation planning.</p>
Figure 26 in Integrative taxonomy, larval biology and functional morphology of the little known gall-forming coral endoparasite Petrarca (Thecostraca: Ascothoracida)
Figure 26. COI gene tree by maximum likelihood (ML) and species delimitation of Petrarca. Bootstrap support for neighbour-joining (NJ) and ML and posterior probability for Bayesian inference (BI) are presented at the main nodes. Results of species delimitation were presented by vertical bars, and the numbers in the black boxes were as follows: 1–3, results of ASAP with three highest ASAP-score; 4, 5, results of PTP method with maximum likelihood and the highest Bayesian supported solution; 6, result of GMYC.
Figure 25 in Integrative taxonomy, larval biology and functional morphology of the little known gall-forming coral endoparasite Petrarca (Thecostraca: Ascothoracida)
Figure 25. Petrarca rubus sp. nov., paratype, thoracopods and penis, SEM. A, thoracopod 1. B, ctenoid scales on thoracopod 3. C, rudimentary abdomen, ventral side. D, distal end of penis. Abbreviations: pe, penis (base); rab, rudimentary abdomen; thp1, thoracopod 1. Scale bars in µm.
Figure 21 in Integrative taxonomy, larval biology and functional morphology of the little known gall-forming coral endoparasite Petrarca (Thecostraca: Ascothoracida)
Figure 21. Petrarca rubus sp. nov., holotype, thoracopods, penis and abdomen. A, rudimentary setiform thoracopod 1. B, left thoracopods 2–6 (numbered) with groups of seminal receptacles. C, rudimentary abdomen, segments numbered. D, distal part of penis. Scale bars in µm.
Figure 24 in Integrative taxonomy, larval biology and functional morphology of the little known gall-forming coral endoparasite Petrarca (Thecostraca: Ascothoracida)
Figure 24. Petrarca rubus sp. nov., paratype, mouthparts, SEM. A, labrum, lateroventral view. B, C, distal part and cutting edge of mandible respectively (tiny setae on cutting edge indicated by arrowheads). D, dense thin setae on proximal half of outer margin of mandible. E, maxillule. F, G, middle and lower parts of cutting edge of maxillule. H, basal 'pore-field' of maxillule. I, maxillules and maxillae. J, thickened and wrinkled cuticle on distal surface of maxilla. K, ctenoid scale on lateral surface of maxilla. Abbreviations: mx1, maxillules; mx2, maxillae. Scale bars in µm.
Figure 22 in Integrative taxonomy, larval biology and functional morphology of the little known gall-forming coral endoparasite Petrarca (Thecostraca: Ascothoracida)
Figure 22. Petrarca rubus sp. nov., paratypes, general view and mantle (carapace) structures, SEM. A, general view, lateral view, left side. B, external surface of mantle, central part, papillae coloured in magenta. C, external surface of mantle with papillae, ventral side. D, tip of papilla with central micropore. E, habitus with left valve removed (first abdominal segment numbered). F, surface of internal cuticle of mantle with two tiny pores. Abbreviations: oc, oral cone; pe, penis; thp2–6, thoracopods. Scale bars in µm.
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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.