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773 results for “bounds”
Diffraction images for PDB entry 6TPI - Structure of EnvC bound to the periplasmic domains of FtsX
<p>X-ray diffraction images for complex collected at Diamond Light Source in the UK.</p>
Object bounding box annotations for the GTEA Gaze+ dataset
<p>Object bounding box annotations for the GTEA Gaze+ dataset of the works <em>Learning to recognize daily actions using gaze</em> (Fathi et al., 2012) and <em>Delving into Egocentric Actions </em>(Li et al., 2015). The dataset contains folders for each of the subjects, within each of them folders for actions, and, within each action folder, a folder for each video. The video folder has a name composed of <name of the original video>_<start frame>_<end frame>. Within this folder, a json file for some frames can be found.</p> <p>The json contains two keys: <em>filename</em> and <em>objects</em>. <em>filename</em> refers to the path to the image and <em>objects</em> to a dictionary of objects. The keys of the dictionary are the objects present in the image. Each of the objects values is a list containing bounding box coordinates. Each coordinate list is composed of the ymin, xmin, ymax and ymax values.</p>
Coefficients for Global Minimax Approximations and Bounds for the Gaussian Q-Function by Sums of Exponentials
<p>This is a supplementary dataset for the publication:</p> <p>I. M. Tanash and T. Riihonen, "Global Minimax Approximations and Bounds for the Gaussian Q-Function by Sums of Exponentials," in <em>IEEE Transactions on Communications</em>, vol. 68, no. 10, pp. 6514-6524, Oct. 2020, doi: 10.1109/TCOMM.2020.3006902.</p> <p>The dataset contains the sets of the optimized coefficients for the novel minimax approximations and bounds of the Gaussian Q-function, its first four integer powers and for the case of average symbol error probability (SEP) in optimal detection of 4-QAM that is actually a polynomial of the Q-function. The proposed approximations and bounds have the form of a weighted sum of exponential functions. The corresponding optimized coefficients are found up to twenty-five exponential terms with the right boundary of the finite interval on the x-axis (x_K+1) ranging from 1 to 10 in steps of 0.1 for the relative error.</p> <p>The Matlab function (func_extract_coef.m) extracts the required set of optimal coefficients from the provided dataset according to the selected error type, variation, number of terms and the right end-point in case of relative error. See help func_extract_coef for more information.</p> <p>A Matlab script (Example.m) is also provided as an example to illustrate the use of the provided Matlab function in extracting the required coefficients from the dataset, to calculate and plot the corresponding relative error which is shown by figure Example.jpg.</p> <p> </p>
Data from: Directed flight and optimal airspeeds: homeward-bound gulls react flexibly to wind yet fly slower than predicted
Birds in flight are proposed to adjust their body orientation (heading) and airspeed to wind conditions adaptively according to time and energy constraints. Airspeeds in goal-directed flight are predicted to approach or exceed maximum-range airspeeds, which minimize transport costs (energy expenditure per unit distance) and should increase in headwinds and crosswinds. Diagnosis of airspeed adjustment is however obscured by uncertainty regarding birds' goal-directions, transport costs, interrelations with orientation strategy and the attainability of predicted behaviour. To address these issues, we tested whether gulls minimized transport costs through adjustment of airspeed and heading to wind conditions during extended inbound flight over water (180–360 km) to their breeding colony, and introduce a methodology to assess transport (energy) efficiency given wind conditions. Airspeeds, heading, flight mode and energy expenditure were estimated using GPS tracking, accelerometer and wind data. Predicted flight was determined by simulating each trip according to maximum-range airspeeds and various orientation strategies. Gulls employed primarily flapping flight (93%), and negotiated crosswinds flexibly to exploit both high altitude tailwinds and coastal soaring opportunities. We demonstrate that predicted airspeeds in heavy crosswinds depend strongly on orientation strategy and presumed preferred direction. Measured airspeeds increased with headwind and crosswind similarly to maximum-range airspeeds based on full compensation for wind drift, yet remained ∼ 30% lower than predicted by all strategies, resulting in slower and 30–35% costlier flight. Interestingly, more energy could be saved through adjustment of airspeed (median 40%) than via orientation strategy (median 4%). Therefore, despite remarkably flexible reaction to wind at sea, these gulls evidently minimized neither time nor energy expenditure. However, airspeeds were possibly over-predicted by current aerodynamic models. This study emphasizes the importance of accounting for orientation strategy when assessing airspeed adjustments to wind and indicates that either the cost or adaptive 'currency' of extended flight among gulls may require revision.
Data from: Apolipoprotein M-bound sphingosine-1-phosphate regulates blood-brain barrier paracellular permeability and transcytosis
The blood-brain barrier (BBB) is formed by the endothelial cells lining cerebral microvessels. Here, we report that the BBB permeability is modified by apolipoprotein M (apoM)-bound sphingosine 1–phosphate (S1P). We used two-photon microscopy to monitor changes in BBB permeability in apoM-deficient mice (apoM-/-), showing significant increases in paracellular BBB permeability to small molecules without structural changes in junctional complexes between endothelial cells. Lack of apoM-bound S1P increased vesicle-mediated transfer of albumin across endothelium of brain pial and penetrating arterioles, whereas transcytosis in capillaries and venules remained unchanged. S1PR1 agonist SEW2871 rapidly normalized BBB permeability along both the paracellular and transcellular routes in apoM-/- mice. Thus, apoM-bound S1P maintains low paracellular BBB permeability for small molecules in all cerebral microvessels and low levels of adsorptive transcytosis in penetrating arterioles. Modulation of apoM/S1P-dependent signaling may be a novel strategy for the protection of brain endothelial cells to preserve the BBB function.
Data from: Conquering the world in leaps and bounds: hopping locomotion in toads is actually bounding
1.While most frogs maximize jump distance as an escape behavior, toads have traded jump distance for endurance with a strategy of hopping repeatedly. This strategy has enabled toads to expand across the continents as one of the most diverse groups of anurans. Multiple studies have revealed physiological endurance adaptations for sustained hopping in toads, however, the kinematics of their sequential hopping behavior, per se, has not been studied. 2.We compared kinematics and forces of single hops and multiple hopping sequences and quantified field performance of hopping behaviors in free ranging toads of three species and discovered a novel aspect of locomotion adaptation that adds another facet to their exceptional terrestrial locomotor abilities. 3.We found that bouts of repeated hopping are actually a series of bounding strides where toads rotate on their hands and then land on their extended their feet and jump again without stopping. In addition, free-ranging toads appear to use bounding locomotion more frequently than single hops. Bounding in toads has the advantage of maintaining velocity and producing longer jump distances. In comparison to single hops, cyclic bounding steps reduce energy expenditure and appear to provide limb loading dynamics better suited for potential cycling of elastic energy from stride to stride than would be possible with repeated single hops. 4.This is the first case of the common use of a bounding gait outside of mammals. Bounding adds a key terrestrial locomotor trait to the toad's phenotype that may help explain their history of global expansion and the challenges to modern faunas as introduced toads rapidly invade new ecosystems today.
Computing Safe Contention Bounds for Multicore Resources with Round-Robin and FIFO Arbitration
<p>This dataset contains processed data in format of an microsoft excel spreadsheet referring to simulations and measurements of multicore contention described in the publication "Computing Safe Contention Bounds for Multicore Resources with Round-Robin and FIFO Arbitration" published in IEEETC.</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>
Suppressing Andreev bound state zero bias peaks using a strongly dissipative lead
<p>This repository contains the raw data and processing Python scripts corresponding to the paper "Suppressing Andreev bound state zero bias peaks using a strongly dissipative lead"</p>
ProtNAff: Protein-bound Nucleic Acid filters and fragment libraries
<p>This dataset contains the library produced by the ProtNAff tool for the paper.</p> <p>The files are in the numpy format matrix.</p> <p>There are files for the reduced and the all atoms fragments.</p>
Distribution. Bangweulu district, NE Zambia and the bordering region of Katanga in SE DR Congo. The range is bounded to the N by the Chambeshi and Luapula rivers, and to the S by the Muchinga Escarpment. in Bovidae
Distribution. Bangweulu district, NE Zambia and the bordering region of Katanga in SE DR Congo. The range is bounded to the N by the Chambeshi and Luapula rivers, and to the S by the Muchinga Escarpment.
Raw Experimental Data of the Master's Thesis: Improving Serverless Edge Computing for Network Bound Workloads
<p>Raw Experimental Data of the Master's Thesis: Improving Serverless Edge Computing for Network Bound Workloads</p> <p>Please see the README for information on parsing and data structure.<br> Some of the data might need additional explanations. In case of confusion don't hesitate to contact me under jacob.palecek@outlook.com</p>
Distribution. Sanaga River in NW Cameroon, through Equatorial Guinea, SW Central African Republic, and the Republic of the Congo to Gabon (S to the Ogooué River); its E extent is thought to be bounded by the Congo and Ubangirivers; its distribution S of the Ogooué River is unknown, but possibly exists in DR Congo and Angola. in Galagidae
Distribution. Sanaga River in NW Cameroon, through Equatorial Guinea, SW Central African Republic, and the Republic of the Congo to Gabon (S to the Ogooué River); its E extent is thought to be bounded by the Congo and Ubangirivers; its distribution S of the Ogooué River is unknown, but possibly exists in DR Congo and Angola.
Subspecies and Distribution. P.x.xanthopusGray,1855—FlindersRanges,GawlerRanges,andOlaryHills,SouthAustralia;GapandCoturaundeeRanges,WNewSouthWales. P. x. celeris Le Souef, 1924 — Gowan, Grey, Cheviot, Yangang, and Macedon Ranges, bounded by Adavale, Blackall, and Stonehenge, SW Queensland. in Macropodidae
Subspecies and Distribution. P.x.xanthopusGray,1855—FlindersRanges,GawlerRanges,andOlaryHills,SouthAustralia;GapandCoturaundeeRanges,WNewSouthWales. P. x. celeris Le Souef, 1924 — Gowan, Grey, Cheviot, Yangang, and Macedon Ranges, bounded by Adavale, Blackall, and Stonehenge, SW Queensland.
Code and data for An Upper Bound for Extreme Temperatures over Midlatitude Land
<p>This .zip file contains data and Jupyter Notebooks to reproduce the results in "An Upper Bound for Extreme Temperatures over Midlatitude Land" by Zhang and Boos.</p>
Distribution. Known from relatively few sites in semi-isolated mountain range in Ixtlan District, Oaxaca State, Mexico, that is bounded to N by Rio Santo Domingo, to W & S by Rio Grande, and to E by coastal plain of Gulf of Mexico. in Cricetidae
Distribution. Known from relatively few sites in semi-isolated mountain range in Ixtlan District, Oaxaca State, Mexico, that is bounded to N by Rio Santo Domingo, to W & S by Rio Grande, and to E by coastal plain of Gulf of Mexico.
Distribution. DR Congo E of the Congo River and S of the great bend of the river, the E limit is not the Lualaba Riveritself, but rather the Lomami River, and bounded by the Kasai and Sankuru rivers in the S. in Cercopithecidae
Distribution. DR Congo E of the Congo River and S of the great bend of the river, the E limit is not the Lualaba Riveritself, but rather the Lomami River, and bounded by the Kasai and Sankuru rivers in the S.
Sample Deadlock Bound Data
<p>Sample deadlock bound data for ongoing PhD Thesis work.</p>
Data for Fundamental bounds on the fidelity of sensory cortical coding
<p>This website contains the data used for the publication:</p> <p>Rumyantsev, O. I., Lecoq, J. A., Hernandez, O., Zhang, Y., Savall, J., Chrapkiewicz, R., ... & Schnitzer, M. J. (2020). Fundamental bounds on the fidelity of sensory cortical coding. <em>Nature</em>, <em>580</em>(7801), 100-105.</p>
Raw diffraction images of mercury-bound human muscarinic acetylcholine receptor
<p>Raw data for <a href="https://www.rcsb.org/structure/5YC8">5YC8</a> (S110R-BRIL–NMS:Hg).</p>
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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.