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102 results for “GUIs”
POPS+83%popc lipid bilayer simulation at T298K ran CHARMM_GUI force field and Gromacs
<p>POPS+83%popc lipid bilayer simulation at T298K ran CHARMM_GUI force field and Gromacs. 100ns long trajectory.</p>
FIGURE 41. Graciliblemus gui n in A contribution to cavernicolous beetle diversity of South China Karst: eight new genera and fourteen new species (Coleoptera: Carabidae: Trechini)
FIGURE 41. Graciliblemus gui n. sp. A. Habitus of male, holotype; B. left elytron (white dots indicating the chaetotaxy); C. median lobe, lateral view; D. apical lobe, dorsal view.
Datasets and Trained Models for "Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning"
<p>Datasets and Trained models for ICSE 2020 "Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning"</p>
Dataset for the workshop paper titled "GUI-Based Software Testing: An Automated Approach Using GPT-4 and Selenium WebDriver" submitted at A-Test 2023
<p>The results dataset is associated with the research paper titled "GUI-Based Software Testing: An Automated Approach Using GPT-4 and Selenium WebDriver", which has been submitted to the 14th edition of A-TEST, a workshop co-located with ASE 2023. ASE, or the Automated Software Engineering conference, is a premier event in the software engineering domain that emphasizes the role of automation in the software development process. The conference is set to take place in Kirchberg, Luxembourg on September 15.</p> <p>Inside the zipped results folder, each test run is cataloged in a timestamped subdirectory. Each of these subdirectories contains three files:</p> <ul> <li><strong>config.json:</strong> A configuration file specific to that test run</li> <li><strong>output.log:</strong> An output log detailing the test's processes and results</li> <li><strong>past_actions.json:</strong> A JSON file designed for streamlined, programmatic access to the test run's data</li> </ul> <p> </p>
FIGURE 44 in GUI-QIANG HUANG & FA-LEI WANG (2019) Two new and one newly recorded species of Anomala Samouelle, 1819 (Coleoptera: Scarabaeidae: Rutelinae) from Yunnan, China. Zootaxa, 4706: 366-374.
FIGURE 44. Distribution map of eight species of Anomala in this study.
Figure 3 from: Gui L-J, Wen J, Xiao Y-P, Ren T, Zheng H-Y, He X-J (2020) Tongoloa arguta (Apiaceae), a new species from southwest China. PhytoKeys 164: 11-19. https://doi.org/10.3897/phytokeys.164.54927
Figure 3 Tongoloa arguta sp. nov. A habit B root C basal leaf blade D leaf-like bract, only appears in some individuals E flower F fruit G mericarp transverse section. Drawn by Bing-yan Chen.
Figure 1 from: Gui L-J, Wen J, Xiao Y-P, Ren T, Zheng H-Y, He X-J (2020) Tongoloa arguta (Apiaceae), a new species from southwest China. PhytoKeys 164: 11-19. https://doi.org/10.3897/phytokeys.164.54927
Figure 1 Phylogenetic tree of Tongoloa and related groups inferred from ITS based on ML and BI methods. MLBS / BIPP values were shown above the branches. Asterisks (*) denoted strong support (MLBS ≥ 90% and BIPP ≥ 0.90).
Figure 2 from: Gui L-J, Wen J, Xiao Y-P, Ren T, Zheng H-Y, He X-J (2020) Tongoloa arguta (Apiaceae), a new species from southwest China. PhytoKeys 164: 11-19. https://doi.org/10.3897/phytokeys.164.54927
Figure 2 Tongoloa arguta sp. nov. A species habitat (Mt. Jianziwanshan, Sichuan, China) B plant in the bush surrounded by snow C plant D–F roots G, H basal leaf, ventral and dorsal view I membranous sheath of basal leaves J middle leaf K upper leaf with membranous petiole L umbel and bract M–O flowers; P–R fruits S mericarp transverse section.
FIGURE 11 in The genus Rhoenanthus Eaton, 1881 in China with the redescription of R hunanensis You & Gui, 1995 (Ephemeroptera: Potamanthidae)
FIGURE 11. Chinese Rhoenanthus species distribution map.
FIGURE 1 in The genus Rhoenanthus Eaton, 1881 in China with the redescription of R hunanensis You & Gui, 1995 (Ephemeroptera: Potamanthidae)
FIGURE 1. Female imago of Rhoenanthus coreanus (digital photos).
FIGURE 8 in The genus Rhoenanthus Eaton, 1881 in China with the redescription of R hunanensis You & Gui, 1995 (Ephemeroptera: Potamanthidae)
FIGURE 8. Egg of Rhoenanthus hunanensis: A. Whole picture; B. KCT and micropyle enlarged.
FIGURE 5 in The genus Rhoenanthus Eaton, 1881 in China with the redescription of R hunanensis You & Gui, 1995 (Ephemeroptera: Potamanthidae)
FIGURE 5. Male imago of Rhoenanthus hunanensis (digital photos).
FIGURE 9 in The genus Rhoenanthus Eaton, 1881 in China with the redescription of R hunanensis You & Gui, 1995 (Ephemeroptera: Potamanthidae)
FIGURE 9. Genitalia of Rhoenanthus magnificus subimago.
Data from: Seed germination schedule and environmental context shaped the population genetic structure of subtropical evergreen oaks on the Yun-Gui Plateau, Southwest China
<p>The evergreen broadleaved forests (EBLFs) of Southwest China have a long-term stable environment and support a diverse flora, thus forming a global biodiversity hotspot. However, the key drivers that have shaped the genetic diversity patterns of species in these EBLFs are not well understood. <i>Quercus delavayi</i>, <i>Q. schottkyana</i>,<i> </i>and<i> Q. kerrii </i>are sympatric oak species with different seed biological traits that are typical for these EBLFs. This study combined multilocus phylogeography and ecological niche modeling to screen 33 <i>Q. delavayi</i> populations. Their population genetic structure was inferred in comparison with previous studies on <i>Q. schottkyana</i> and <i>Q. kerrii</i>. The seed germination traits of all three species were also investigated. cpDNAs showed a significant phylogeographic structure in <i>Q. delavayi</i>, which was not detected in <i>Q. schottkyana</i> or <i>Q. kerrii</i>. <i>Quercus delavayi</i>, <i>Q. kerrii</i>, and <i>Q. schottkyana </i>exhibited different pollen-to-seed migration ratios (r = 219, 117, and 22, respectively), which are linked to the germination schedules of acorns. The distributions of <i>Q. delavayi</i> and <i>Q. schottkyana</i> remained long-term stable since the last glacial maximum (LGM) with a similar nSSR genetic gradient change along latitude. Instead, <i>Q. kerrii</i> experienced a prominent range expansion since the LGM with genetic diversification between the East and the West of the Tanaka line due to environmental heterogeneity. These results identify seed traits and environmental heterogeneity as two key drivers that shape the population genetic structure of EBLF trees in Southwest China. These should be considered in regional forestry conservation and management.</p>
Videos for PolNet GUI
<p>Contains videos to show usage examples of the different scripts of the PolNet GUI. Specifically, for constructing all the input models necesary generating a single synthetic tomogram (400x400x100 voxels with 10 Angstron voxel size) with two different cytosolic macromolecules, a membrane bound one, microtubules and membranes with ellipsoidal shape.</p> <ol> <li><strong>create_membrane_models</strong>: generates the configuration file of structural model for membranes.</li> <li><strong>create_membrane_models</strong>: generates the configuration file of structural model for filaments.</li> <li><strong>atomic_to_density</strong>: converts PDB atomic models into density map models for macromolecules.</li> <li><strong>align_membrane_proteins</strong>: aligns a density map of a protein with respect to a reference membrane, required for membrane bound proteins.</li> <li><strong>create_macromolecule_models</strong>: generates the configuration file of structural model for macromolecules, inclusing membrane bound ones.</li> <li><strong>gen_dataset_and_results</strong>: shows a example of selecting the input files and parameters to generate a single synthetic tomogram, it also contain examples of how to visualize the output files.</li> </ol>
Data Set for GUI Programming Learning
Open the record for dataset details and reuse information.
Data Set for GUI Programming Learning (ICITSI2024)
Open the record for dataset details and reuse information.
Figure 4 from: Ren G-C, Wanasinghe DN, Jeewon R, Monkai J, Mortimer PE, Hyde KD, Xu J-C, Gui H (2022) Taxonomy and phylogeny of the novel rhytidhysteron-like collections in the Greater Mekong Subregion. MycoKeys 86: 65-85. https://doi.org/10.3897/mycokeys.86.70668
Figure 4 Rhytidhysteron neorufulum (HKAS 115534) a, bHysterothecium on wood c vertical section through hysterothecia d exciple e pseudoparaphyses f–h immature asci and mature asci i–m immature ascospores and mature ascospores n germinating ascospore o, p culture characters on PDA (o = above view, p = reverse view). Scale bars: 1000 μm (a, b); 200 μm (c); 15 μm (d); 20 μm (e); 50 μm (f–h); 10 μm (i–m); 20 μm (n); 20 mm (o, p).
Figure 3 from: Ren G-C, Wanasinghe DN, Jeewon R, Monkai J, Mortimer PE, Hyde KD, Xu J-C, Gui H (2022) Taxonomy and phylogeny of the novel rhytidhysteron-like collections in the Greater Mekong Subregion. MycoKeys 86: 65-85. https://doi.org/10.3897/mycokeys.86.70668
Figure 3 Rhytidhysteron tectonae (HKAS 115533) a, bHysterothecium on wood c vertical section through hysterothecia d exciple e pseudoparaphyses f–i immature and mature asci j ocular chamber. k–r immature and mature ascospores s Germinating ascospore t, u culture characters on PDA (t = above view, u = reverse view). Scale bars: 300 μm (c); 50 μm (d); 30 μm (e); 50 μm (f–i); 10 μm (j–r); 15 μm (s); 25 mm (t, u).
Figure 2 from: Ren G-C, Wanasinghe DN, Jeewon R, Monkai J, Mortimer PE, Hyde KD, Xu J-C, Gui H (2022) Taxonomy and phylogeny of the novel rhytidhysteron-like collections in the Greater Mekong Subregion. MycoKeys 86: 65-85. https://doi.org/10.3897/mycokeys.86.70668
Figure 2 Rhytidhysteron xiaokongense (HKAS 112728, holotype) a, b conidiomata on natural wood surface c sections through conidioma d ostiolar neck e conidioma wall f–h conidiogenous cells and developing conidia i–m conidia n germinated conidium o, p culture characters on PDA (o = above, p = reverse). Scale bars: 100 μm (c, d); 50 μm (e); 15 μm (f–h); 10 μm (i–m); 20 μm (n); 25 mm (o, p).
ScienceDex guides
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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.