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870 results for “boxing”
Data for the paper "Fock State Sampling Method – Characteristic temperature of maximal fluctuations for interacting bosons in box potentials"
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Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization -- Reproducibility Files
<p>This repository contains the files to reproduce the results from the paper "Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization".</p> <p>Data Collection</p> <p>In this folder, all files used to generate the raw performance data for the set of algorithms are included, as well as the code used to generate the ELA features. For the performance, the packages 'ioh', 'nevergrad', 'modde' and 'modcma' are essential, while 'pflacco' is used for ELA. For all scripts in this folder, the number of parallel threads and the folders for reading function settings (included as 3 csv files in this folder) and storing data should be set before execution. </p> <p>Note that the full performance data exceeds 50GB, so it is not included in this repository. Instead, the results of processing it (using the aocc_extraction script) are included in the 'auc_MABBOB' folder (spread across multiple csv-files, with a version using a different budget factor included as well).</p> <p>The ELA data is included as 'ELA' and 'ELA_BBOB' for the affine combinations and component functions respectively. </p> <p>Data Processing, Analysis and Visualization</p> <p>The remaining reproducibility files can be found in the Reproducibility folder. Within this folder are several notebooks which handle various steps in the pipeline, starting with preprocessing the data collected in the previous steps. This results in some csv-files, which are also included for convenience. Afterwards, the remaining notebooks deal with correlation analysis, instance selection methods, and all included plots from the paper. To match the environment used during our execution of these scripts. a yml-file (to be used with conda or mamba) is available as well. </p>
Exploring the Black Box: Analyzing Explainable AI Challenges and Best Practices Through Stack Exchange Discussions
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Determinants of nest box local recruitment and natal dispersal in a declining bird population
<p>Recruitment and dispersal are important demographic rates and studying their determinants is particularly important in the current context of global anthropogenic perturbations. In birds, and especially for migratory species, assessing these rates is challenging because of the difficulties involved in tracking individuals beyond fledging. Here we assessed the determinants of nest box local recruitment and natal dispersal distances in a declining aerial insectivore, the Tree swallow (<em>Tachycineta bicolor</em>). We used a 16-year dataset obtained from the long-term monitoring of a population breeding within a 10,200-km<sup>2</sup> study system located along a gradient of agricultural intensification in southern Québec, Canada. Yearly nest box local recruitment rates ranged there in between 1.0% and 3.2%. Heavier nestlings who fledged earlier were more likely to recruit. Natal dispersal distances were generally short (mean ± SD = 12.7 ± 13.8 km) in the study system and were influenced by different factors depending on sex. Females dispersed over shorter distances when conspecific occupancy on breeding site was high, while males dispersed farther in the presence of competing House sparrows (<em>Passer domesticus</em>) and when their mother was young. Selection of breeding locations appeared to take place at multiple scales and individuals recruited in sites with characteristics similar to their natal sites. Our results provide important information concerning the factors influencing nest box local recruitment and natal dispersal dynamics of this migratory species. These factors should be considered in conservation practices for this species in order to support production of recruits in habitats favorable to their survival.</p>
Optimizing Within-Distance Queries by Approximating Shapes with Maximal Bounded Boxes - Datasets
<p>Csv and sql files for the underlying data.<br> Figure 9: Calculating the distance between various number and type of shapes, i.e. from polygons, rotated and axis aligned rectangles, to points, polygons, rotated and axis aligned rectangles.<br> Table 1: Calculating distance between shapes of various complexity, i.e. points, lines, quadrilaterals, hexagons, dodecagons, icosagons, pentacontagons.<br> Table 2: Comparing the ordering of the shapes when distance operation is calculated, (a) from polygons to rectangles, (b) from rectangles to polygons.<br> Table 5 & 6: Within-distance and distance queries between (a) actual polygons, (b) their bounded rectangles, (c) actual polygons and points, (d) their bounded rectangles and points.</p>
Fig. 1 in First records of the invasive box tree moth Cydalima perspectalis (Walker, 1859) (Lepidoptera: Crambidae) in south-eastern Poland
Fig. 1. Distribution of Cydalima perspectalis (Walker, 1859) in S & SE Poland. 1– data from literature, 2 – new data from 2016, 3 – new data from 2017, 4 – localities where appearance of the species was not stated.
Fig. 2 in First records of the invasive box tree moth Cydalima perspectalis (Walker, 1859) (Lepidoptera: Crambidae) in south-eastern Poland
Fig. 2. Phenology of Cydalima perspectalis (Walker, 1859) in Podkarpacie region (SE Poland) in the period 2016–2017.
Compressibility and the equation of state of an optical quantum gas in a box
<p>This repository contains the data presented in the manuscript titled "Compressibility and the equation of state of an optical quantum gas in a box" by E. Busley et al., Science 375, 1403–1406 (2022), arXiv:2112.12787.</p> <p>1) The files named 'Fig{1,2,3,4}_raw.xlsx' contain the final data sets relevant to reproduce all plots shown in the paper</p> <p>2) The zipped folder 'raw_scripts' contains Mathematica and Python scripts as well as the relevant raw data, which allow the reproduction of the data shown in the paper</p>
Appendix to Combinatorial Methods for Dynamic Gray-Box SQL Injection Testing
<p>This appendix contains the detailed results of our case study performed in the context of our article "Combinatorial Methods for Dynamic Gray-Box SQL Injection Testing", published in the Journal of Software Testing, Verification and Reliability.</p> <p><br> For each web application investigated, one table exists, provided as a separate PDF file.<br> In each of these tables, the results are grouped by endpoint. For each investigated approach, we list the total number of submitted vectors, the number of injected vectors and the injection rate, the amount of executed vectors and the execution rate, and the total time required to submit the attack vectors and evaluate the responses.</p> <p>Please note that no false positive endpoints are listed for WAVSEP. Furthermore, some entries for the execution rate may be displayed as 0.00 despite some vectors having been executed; this is merely a consequence of rounding.</p>
FIGURE. Trichia munda (syntype): a–i: specimen from box B.M. 2942. a–b. Label, sporocarps and substratum, [box: BM001089762]. c. Detail of ornamentation of capillitium by SEM. d–f. Details of free ends of capillitium by SEM. g–i. Details of spore ornamentation by SEM. Bars: c–f = 5 µm, g–h = 2 μm, i = 1 µm. in Critical revision of Trichiales (Myxomycetes) at the Natural History Museum London (BM)
FIGURE. Trichia munda (syntype): a–i: specimen from box B.M. 2942. a–b. Label, sporocarps and substratum, [box: BM001089762]. c. Detail of ornamentation of capillitium by SEM. d–f. Details of free ends of capillitium by SEM. g–i. Details of spore ornamentation by SEM. Bars: c–f = 5 µm, g–h = 2 μm, i = 1 µm.
FIGURE. Hemitrichia intorta: a–g: specimen from box B.M. 1483 (syntype). a. Sporocarps and substratum [box: BM001088829]. b–d. Details of capillitium by SEM. e–g. Details of spore ornamentation by SEM. Bars: b–c= 5 μm, d = 2 μm, e–f = 2 μm, g = 1 µm. in Critical revision of Trichiales (Myxomycetes) at the Natural History Museum London (BM)
FIGURE. Hemitrichia intorta: a–g: specimen from box B.M. 1483 (syntype). a. Sporocarps and substratum [box: BM001088829]. b–d. Details of capillitium by SEM. e–g. Details of spore ornamentation by SEM. Bars: b–c= 5 μm, d = 2 μm, e–f = 2 μm, g = 1 µm.
FIGURE. Perichaena cornuvioides: a–e. specimen from box B.M. 3004 (type). a. Sporocarps and substratum [box: BM001247521]. b–e. Details of spore ornamentation by SEM. Bars: b–d = 2 μm, e = 1 µm. in Critical revision of Trichiales (Myxomycetes) at the Natural History Museum London (BM)
FIGURE. Perichaena cornuvioides: a–e. specimen from box B.M. 3004 (type). a. Sporocarps and substratum [box: BM001247521]. b–e. Details of spore ornamentation by SEM. Bars: b–d = 2 μm, e = 1 µm.
FIGURE. Trichia affinis: a–g: specimen from box B.M. 4147. a. Label, sporocarps and substratum, [box: BM001247524]. b–c. Details of ornamentation of capillitium by SEM. d–e. Details of free ends of capillitium by SEM. f–g. Details of spore ornamentation by SEM. Bars: b–c = 2 μm, d–e = 5 µm, f–g = 2 μm. in Critical revision of Trichiales (Myxomycetes) at the Natural History Museum London (BM)
FIGURE. Trichia affinis: a–g: specimen from box B.M. 4147. a. Label, sporocarps and substratum, [box: BM001247524]. b–c. Details of ornamentation of capillitium by SEM. d–e. Details of free ends of capillitium by SEM. f–g. Details of spore ornamentation by SEM. Bars: b–c = 2 μm, d–e = 5 µm, f–g = 2 μm.
FIGURE. Trichia scabra: a–g: specimen from box BM001247525 (leg. anon., Hertfortshire. s.n.). a–b Details of ornamentation of capillitium by SEM. c–d. Details of free ends of capillitium by SEM. e–g. Details of spore ornamentation by SEM. Bars: a–b = 2 µm, c–d = 5 μm, e–f = 2 μm, g = 1 µm. in Critical revision of Trichiales (Myxomycetes) at the Natural History Museum London (BM)
FIGURE. Trichia scabra: a–g: specimen from box BM001247525 (leg. anon., Hertfortshire. s.n.). a–b Details of ornamentation of capillitium by SEM. c–d. Details of free ends of capillitium by SEM. e–g. Details of spore ornamentation by SEM. Bars: a–b = 2 µm, c–d = 5 μm, e–f = 2 μm, g = 1 µm.
FIGURE. Prototrichia metallica: a–i: specimen from box B.M. 1542. a. Label [box: BM001247523]. b. Sporocarps and substratum. c–e. Details of ornamentation of capillitium by SEM. f. Details of free ends of capillitium by SEM. g–i. Details of spore ornamentation by SEM. Bars: c–e = 5 μm, f = 10 µm, g–h = 2 μm, i = 1 μm. in Critical revision of Trichiales (Myxomycetes) at the Natural History Museum London (BM)
FIGURE. Prototrichia metallica: a–i: specimen from box B.M. 1542. a. Label [box: BM001247523]. b. Sporocarps and substratum. c–e. Details of ornamentation of capillitium by SEM. f. Details of free ends of capillitium by SEM. g–i. Details of spore ornamentation by SEM. Bars: c–e = 5 μm, f = 10 µm, g–h = 2 μm, i = 1 μm.
FIGURE. Prototrichia metallica: a–h: specimen from box B.M. 3174. a. Sporocarps and substratum [box: [BM001247522]. b–c. Details of ornamentation of capillitium by SEM. d–e. Details of free ends of capillitium by SEM. f–h. Details of spore ornamentation by SEM. Bars: b–e = 5 μm, f–g = 2 μm, h = 1 μm. in Critical revision of Trichiales (Myxomycetes) at the Natural History Museum London (BM)
FIGURE. Prototrichia metallica: a–h: specimen from box B.M. 3174. a. Sporocarps and substratum [box: [BM001247522]. b–c. Details of ornamentation of capillitium by SEM. d–e. Details of free ends of capillitium by SEM. f–h. Details of spore ornamentation by SEM. Bars: b–e = 5 μm, f–g = 2 μm, h = 1 μm.
FIGURE. Arcyria imperialis. a–c. Specimen from box B.M. 4067 in Critical revision of Trichiales (Myxomycetes) at the Natural History Museum London (BM)
FIGURE. Arcyria imperialis. a–c. Specimen from box B.M. 4067 (lectotype). a. Sporocarps and substratum [box: BM001085195]. b. Capillitium by SEM. c–d. Details of spore ornamentation by SEM. e–f: Specimen from box B.M. 4068 [BM001085196]) (syntypus). e. Sporocarps and substratum [box: BM001085196]. f. Capillitium by SEM. Bars: b = 2 μm, c–d = 1 μm, f = 2 μm.
FIGURE. Hemitrichia chrysospora. a–g. Specimen from box B.M. 1491 in Critical revision of Trichiales (Myxomycetes) at the Natural History Museum London (BM)
FIGURE. Hemitrichia chrysospora. a–g. Specimen from box B.M. 1491 (lectotype). a. Sporocarps and substratum [box: BM001089119]. b. Details of inner side of peridium ornamentation by SEM. c–d. Details of capillitium by SEM. e–f. Details of spore ornamentation by SEM. g. Detail of reticulum of muri. Bars: b = 2 μm, c–d = 5 μm, e–f = 2 μm, g = 1 µm.
FIGURE. Hemitrichia karstenii: a and d: specimen from box B.M. 1489. a. Sporocarps and substratum [box: BM001247518]. d. Details of spore ornamentation by SEM. b–c, e–i: specimen from box B.M. 2008. e. Label [box: BM001247519]. b–c. Capillitium by SEM. f–i. Details of spore ornamentation by SEM. Bars: b–c = 5 μm, d and f–h = 2 μm, i = 1 μm. in Critical revision of Trichiales (Myxomycetes) at the Natural History Museum London (BM)
FIGURE. Hemitrichia karstenii: a and d: specimen from box B.M. 1489. a. Sporocarps and substratum [box: BM001247518]. d. Details of spore ornamentation by SEM. b–c, e–i: specimen from box B.M. 2008. e. Label [box: BM001247519]. b–c. Capillitium by SEM. f–i. Details of spore ornamentation by SEM. Bars: b–c = 5 μm, d and f–h = 2 μm, i = 1 μm.
Fish Box
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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.