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2,721 results for “CONNECTIVITY”
Risk factors for complications in bolt-connected external ventricular drains
<p><strong><span lang="EN-US">Background:</span></strong><span lang="EN-US"> This study aims to identify risk factors for the main complications following a bolt-connected external ventricular drain (EVD) insertion.</span></p> <p><strong><span lang="EN-US">Methods:</span></strong><span lang="EN-US"> Single-center cohort study. All patients who underwent bolt-connected EVD placement between March 2015 and February 2024 were included. The complications analyzed were infection, hemorrhage, misplacement, obstruction, and accidental pull-out. The need for EVD replacement was also registered. Univariable and Cox regression multivariable analyses were performed.</span></p>
Connecting the Digital Bridges Factors Influencing Farmers' Attitude towards e-Governance
<p><span>The e-governance streamlines the delivery of government services to the farmers, such as agricultural subsidies, credit facilities, insurance schemes, extension services and other citizen charters. The objective of this study was to determine the factors influencing the attitude of farmers towards e-governance. The scale used for attitude measurement was standardized through Judge-rating and pre-testing and forty-one statements were used to assess the attitude of the farmers on a Likert scale. One hundred twenty-five (125) farmers from Phulbari upazila in Dinajpur district of Bangladesh were selected for data collection using a multi-stage random sampling procedure through structured interview method.<span> </span>The findings revealed that a significant proportion (68.0 percent) of the respondents held a moderately to highly favourable attitude towards e-governance. Although seven socio-economic factors had significant relationship with farmers’ attitude towards e-governance; the key influencing factors identification through multiple linear regression and stepwise regression indicated that knowledge of e-governance, educational qualification, age, and organizational participation were the most important. Thus, to enhance farmer engagement and trust in e-governance, policy formulation should be aimed at improving farmers’ knowledge of e-governance involves a multifaceted approach that addresses their specific needs and challenges need to be addressed.</span></p>
Data for: Enhanced Hydrologic Connectivity and Solute Dynamics Following Wildfire and Drought in a Contaminated Temperate Peatland Catchment
<p>Data underlying the publication: "Enhanced Hydrologic Connectivity and Solute Dynamics Following Wildfire and Drought in a Contaminated Temperate Peatland Catchment".</p>
Connecting The Dots: Low Loss Paths Between Neighbor Embeddings
<h3>This repository contains animations of the figures in <a href="https://github.com/premfi/NE-AutoNEB/blob/main/Thesis.pdf" target="_blank" rel="noopener">Connecting The Dots: Low Loss Paths Between Neighbor Embeddings (2024)</a>.</h3> <h2>Abstract</h2> <p>UMAP and t-SNE belong to the most common dimension reduction techniques for the visualization of high-dimensional data across various domains. Previous work focused largely on finding the best minima of these algorithms. We connect different minima on the loss surface, using the AutoNEB algorithm to optimize for a low loss path. For UMAP, we find paths with a loss continuously within the range of usual fluctuations between different minima. For t-SNE, the loss rises with increasing distance from the initial minima and is not brought down fully even by further optimization. Additionally, we introduce a new way to visualize the loss contribution of individual points, which provides an intuitive overview over the local embedding quality.</p> <h2>Explanation</h2> <p>When running a dimension reduction technique, such as UMAP and t-SNE, multiple times on the same dataset, the results can differ significantly. The differences are especially considerable when the embeddings are initialized randomly.<br>Several largely different embeddings can have a similarly low loss, underscoring that only local minima are found.<br>The goal was to find a connection between these local minima with a continuously relatively low loss. This corresponds to embeddings being transformed into one another while maintaining a relatively good visualization quality throughout. The results of these low-loss transformations are the .gif files uploaded here.</p> <p>The AutoNEB algorithm starts with an initial path between the minima, usually with a high loss, and then iteratively optimizes the points along the path using gradient descent. The default method for creating the initial path is just interpolating linearly between the two embeddings. This method has been used for all of the connections, except for "t-SNE_Fashion-MNIST_preconfigured_*.gif", where the initial path was set manually.</p> <p>For more details please refer to the <a title="Connecting The Dots: Low Loss Paths Between Neighbor Embeddings (2024)" href="https://github.com/premfi/NE-AutoNEB/blob/main/Thesis.pdf" target="_blank" rel="noopener">thesis</a>, especially chapter 3 "Methods".</p> <h2>Files sorted by corresponding Figure</h2> <table> <tbody> <tr> <td>Fig. 4.4</td> <td>UMAP on Fashion-MNIST</td> <td>UMAP_Fashion-MNIST_*.gif</td> </tr> <tr> <td>Fig. 4.5</td> <td>UMAP on C. Elegans</td> <td>UMAP_C.Elegans_*.gif</td> </tr> <tr> <td>Fig, 4.7</td> <td>t-SNE on Fashion-MNIST</td> <td>t-SNE_Fashion-MNIST_*.gif</td> </tr> <tr> <td>Fig. 4.8</td> <td>t-SNE on C. Elegans</td> <td>t-SNE_C.Elegans_*.gif</td> </tr> <tr> <td>Fig. 4.10</td> <td>t-SNE on Fashion-MNIST with preconfigured path</td> <td>t-SNE_Fashion-MNIST_preconfigured_*.gif</td> </tr> </tbody> </table> <h3>Each file exists in a "fast" and "slow" variant:</h3> <p>"*_fast.gif" files linearly interpolate between each existing pair of pivots with 2 additional frames.<br>"*_slow.gif" files linearly interpolate between each existing pair of pivots with 4 additional frames.</p>
Landscape-level habitat connectivity of large mammals in Chitwan Annapurna Landscape, Nepal
<p>The populations of many species of large mammals occur in small isolated and fragmented habitat patches in the human-dominated landscape. Maintenance of habitat connectivity in fragmented landscapes is important for maintaining a healthy population of large mammals. This study evaluated the landscape patches and their linkages on two carnivores (leopard and Himalayan black bear) and seven prey species (northern red muntjac, chital, sambar, wild pig, Himalayan goral, rhesus macaque, and langur) between Chitwan National Park (CNP) and Annapurna Conservation Area (ACA) by using the least-cost path approach and the Linkage Mapper tool in ArcGIS. A total of 15 habitat patches (average area 26.67 ± 12.70 km<sup>2</sup>) were identified that had more than 50% of the total studied mammals. A weak relation among the habitat patches was found for chital and sambar (Cost-weighted distance CWD: Euclidean distance EucD >100), showed poor connectivity between the habitat patches, while the ratio of CWD and EucD was low (i.e., low least-cost path) between the majority of the patches for muntjac, wild pig and leopard hence had potential functional connectivity along the landscape. Similarly, a low least cost path between the habitat patches located in the mid-hills was observed for Himalayan goral and Himalayan black bears. Furthermore, the multi-species connectivity analysis identified the potential structural connectivity between the isolated populations and habitat patches. Therefore, these sites need to be considered connectivity hotspots and be prioritized for the conservation of large mammals in the landscape.</p>
Fig. 2 in Biogeography, phylogenetic relationships and morphological analyses of the South American genus Mutisia L.f. (Asteraceae) shows early connections of two disjunct biodiversity hotspots
Fig. 2 Morphological diversity in Mutisia species pertaining to different sections: a M. orbignyana (section Isantha); b, c M. ledifolia (section Fruticosa); d M. coccinea (section Mutisia); e M. campanulata (section Mutisia); f M. clematis (section Mutisia); g M. decurrens (section Guariruma); h M. hamata (section Guariruma); i M. ilicifolia (section Ovata); and j M. grandiflora (section Mutisia). Photos by Henry Gonzales (a), Andrés Moreira-Muñoz (b, c, g, h, i); Marcelo Monge (d), Gustavo Shimizu (e), Mauricio Diazgranados (f), Ricardo Jaramillo (j)
Fig. 1 in Biogeography, phylogenetic relationships and morphological analyses of the South American genus Mutisia L.f. (Asteraceae) shows early connections of two disjunct biodiversity hotspots
Fig. 1 Collection localities of Mutisia species extracted from GBIF, Chilean herbaria (SGO and CONC) and team collections, plotted upon four biodiversity hotspots: (1) Tropical Andes (TA), (2) Chilean Winter Rainfall and Valdivian Forests (CWR), (3) Atlantic Forest (AF) and (4) Cerrado (CE). Disjunct distribution of Andean and AF species is marked with a dotted line
Fig. 3 in Biogeography, phylogenetic relationships and morphological analyses of the South American genus Mutisia L.f. (Asteraceae) shows early connections of two disjunct biodiversity hotspots
Fig. 3 Diversity patterns of Mutisia. a Species richness map, showing the Andes of Central Chile as the richest area. b Corrected weighted endemism map, with the Andes of Ecuador standing out
Fig. 6 in Biogeography, phylogenetic relationships and morphological analyses of the South American genus Mutisia L.f. (Asteraceae) shows early connections of two disjunct biodiversity hotspots
Fig. 6 Stochastic trait mapping of Mutisia and Pachylaena. a Habit. b Leaf shape. c Leaf apex. Trait values are indicated to the left and right of the taxon names. Pie charts at nodes represent the probabilities of
Simulation Source Connectivity
<p>- Results discussed in "Effect of head volume conduction on directed connectivity estimated between reconstructed EEG sources" (https://www.biorxiv.org/content/early/2018/01/22/251223.1)</p> <p>- MATLAB structures necessary to run the simulation shared on github in the repository "simulation_source_connectivity".</p>
FIGURES 15–16. Tergosternal connection. 15a in New species of Dugdaleiella, gen. nov., Kozloviella, gen. nov., and Pfitzneriella Viette from upper elevation Andes of Ecuador and Peru (Lepidoptera: Hepialidae)
FIGURES 15–16. Tergosternal connection. 15a, Kozloviella viazmenskyi sp. n.; 15b, Pfitzneriella yuliyakovalevae sp. n.; 15c, P. rawlinsi sp. n.; 15d, Dugdaleiella monticola. 16, Abdomen (males unless otherwise specified). 16a, K. viazmenskyi sp. n.; 16b, P. antonkozlovi sp. n.; 16c, P. olafi sp. n.; 16d, P. rawlinsi sp. n.; 16e, P. titarenkoi sp. n.; 16f, P. yuliyakovalevae sp. n.; 16g, P. yuliyakovalevae sp. n. (female); 16h–16j, Dugdaleiella monticola. 16h, tergum II; 16i, sternum II; 16j, tergum and sternum VIII. Photos: John Grehan (Figs 15d, 16h–16j), Carlos Mielke (Figs 15a–15c, 16a–16g).
Dataset and scripts for "Investigating the Cross-Repository Socially Connected Teams in Github"
<p>Dataset and scripts for "Investigating the Cross-Repository Socially Connected Teams in Github"</p> <p>README included in the files</p>
High clonal propagation and low population connectivity in the holothurian Stichopus chloronotus from the Indo-Pacific (Dataset)
<p>Genetic dataset associated to "High clonal propagation and low population connectivity in the holothurian <em>Stichopus chloronotus</em> from the Indo-Pacific" article published in Marine Biology (2019)</p>
Supporting data for "Quantifying process connectivity with transfer entropy in hydrologic models" [Paper #2018WR024555]
<p>This tarball contains the processed datasets used for the analysis of the process networks. It also contains the shapefiles used to define the domains of each sub-region.</p>
Connecting with Different Partners in Society
<p>Audio from <em>Session 4: Connecting with Different Partners in Society</em>, held Wednesday 26 June 2019 at the LIBER 2019 Annual Conference.</p> <p>Talks included:</p> <ul> <li>4.1 <a href="https://doi.org/10.5281/zenodo.3258130">Beyond Assisting Digital Humanities Scholars: 5 Years of Researchers in Residence at the National Library of The Netherlands</a>, Martijn Kleppe, Lotte Wilms and Steven Claeyssens, National Library of The Netherlands, The Netherlands</li> <li>4.2 <a href="https://doi.org/10.5281/zenodo.3258135">Students with Autism as Research Partners: Responding to Real World Trends in Society</a>, Geraldine Fitzgerald and Siobhan Dunne, Trinity College Dublin, Ireland</li> <li>4.3 <a href="https://doi.org/10.5281/zenodo.3258141">Beyond the Usual Suspects: Building a 21st Century Reading Community in Scotland</a>, Ines Byrne, National Library of Scotland, United Kingdom</li> <li><a href="https://doi.org/10.5281/zenodo.3258145">Lightning talk: Dementia and Memory Institutions</a>, Nick Barratt, Senate House Library, United Kingdom</li> </ul>
text-fig. 55. Left distal tibia, fibula, and proximal tarsals of a, Syntarsus rhodesiensis (QG 1) and B, Lilienstemus lilienstemi (MB R. 2175) in anterior view, showing differences in the development of the distal end of the fibula and its connection with the ascending process of the astragalus. Abbreviations: asc proc, ascending process of the astragalus; astr, astragalus; calc, calcanéum; fib, fibula; tib, tibia. Scale bars represent 10 mm. in The interrelationships and evolution of basal theropod dinosaurs
text-fig. 55. Left distal tibia, fibula, and proximal tarsals of a, Syntarsus rhodesiensis (QG 1) and B, Lilienstemus lilienstemi (MB R. 2175) in anterior view, showing differences in the development of the distal end of the fibula and its connection with the ascending process of the astragalus. Abbreviations: asc proc, ascending process of the astragalus; astr, astragalus; calc, calcanéum; fib, fibula; tib, tibia. Scale bars represent 10 mm.
Functional connectivity in the face of congenital structural changes – a case of homozygous LAMC3 Mutation
<p>Results of diffusion tensor imaging analysis for each participant. These results were summarized in a manuscript titled as " <strong>Functional connectivity in the face of congenital structural changes – a case of homozygous <em>LAMC3</em> Mutation</strong> "</p>
Effects of fluid rheology and pore connectivity on rock permeability
<p></p> <p>The pore structure data associated with Figure 12 and Figure 13.</p>
iCESM1.2 restart file from "The Connected Isotopic Water Cycle in the Community Earth System Model Version 1"
<p>iCESM1.2 restart file at year 1850</p> <p><strong>Citation: </strong>Brady, E. C., Stevenson, S., Bailey, D., Liu, Z., Noone, D., Nusbaumer, J., … Zhu, J. (2019). The Connected Isotopic Water Cycle in the Community Earth System Model Version 1. <em>Journal of Advances in Modeling Earth Systems</em>, <em>11</em>, 2547–2566. https://doi.org/10.1029/2019MS001663</p> <p><strong>iCESM1.2 GitHub:</strong> https://github.com/NCAR/iCESM1.2</p> <p>A CLM land surface data set is included: surfdata_1.9x2.5_simyr1850_c140303.nc.</p>
Fig. 2 a in Low connectivity between 'scaly-foot gastropod' (Mollusca: Peltospiridae) populations at hydrothermal vents on the Southwest Indian Ridge and the Central Indian Ridge
Fig. 2 a Parsimony haplotype network of Chrysomallon squamiferum based on 489 bp of the COI gene. Colours of circles indicate locality: white = Longqi, black = Kairei, and grey = Solitaire. Numbers indicate sampled frequency from each site. b Results of Migrate-n analyses showing relative migrants per generation shown in a schematic drawing. Abbreviations: SWIR Southwest Indian Ridge, CIR Central Indian Ridge
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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.