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4,480 results for “hybrid”
Circulating hybrid cell dataset
<p>Peripheral blood mononuclear cell images for each region of interest (ROI). Each ROI .zip contains 3-channel, 96 by 96 pixel (0.325 mpp) single-cell .tiffs following the naming convention: "CG_{}_R1_{}_R2_{}_LABEL_{}_CENTROID_{}_{}.tiff". CG is the computational gating circulating hybrid cell call ("positive", "near", or "negative"), R1 is the number of positive votes received in annotation round 1 (0-7), R2 is the number of positive votes received in annotation round 2 (0-10), label is the cell's segmentation mask label, and centroid is the x/y coordinates of the cell centroid in the ROI. The marker order is [epithelial cocktail, CD45, DAPI]. </p>
iWanDroid: Demand-driven Information Flow Analysis of WebView in Android Hybrid Apps
<p>The repo contains the tool iWanDroid: Artifacts for the paper Demand-driven Information Flow Analysis of WebView in Android Hybrid Apps, accepted at ISSRE 2023.</p> <p>Android hybrid apps augment native apps with web and inter-language communication capabilities. These apps facilitate the integration of web components, including JavaScript, into native apps. Besides, they allow a two-way communication where JavaScript can utilize functionality shared by the native side (Java). However, due to operational differences between Java and JavaScript, the semantics of this communication are complex. Tracking information flows via this communication channel, i.e., between these heterogeneous platforms, becomes intricate.</p> <p>Multiple approaches have been proposed to analyze hybrid apps. However, most of them focus on specific classes of web-induced vulnerabilities or provide rudimentary tracking of specific information flows via this communication channel. This work proposes a demand-driven analysis to comprehensively track information flow violations from the native side to JavaScript and vice-versa. To this end, our framework selectively creates data flow summaries of the shared native-side code based on its usage in the corresponding JavaScript code. We demonstrate the efficacy of our approach by applying it to various benchmarks and large-scale apps.</p> <p> </p>
Hybrid Formats - The New Normal?!
<p>How can hybrid meetings, workshops and trainings be conceptualized successfully?</p> <p>A hybrid workshop hosted by Instituto Mora, Mexico City.</p>
Single-molecule Fluorescent In Situ Hybridization (smFISH) for RNA detection in the fungal pathogen Candida albicans small example dataset
<p><strong>This small example dataset is connected to the protocol article titled:</strong></p> <p>Single-molecule Fluorescent <em>In Situ</em> Hybridization (smFISH) for RNA detection in the fungal pathogen <em>Candida albicans</em></p> <p><strong>Abstract:</strong></p> <p><em>Candida albicans</em> is the most prevalent human fungal pathogen. Its pathogenicity is linked to the ability of <em>C. albicans</em> to reversibly change morphology and to grow as yeast, pseudohyphal or hyphal cells in response to environmental stimuli. Understanding the molecular regulation controlling those morphological switches remains a challenge that, if solved, could help fight <em>C. albicans</em> infections.</p> <p>While numerous studies investigated gene expression changes occurring during <em>C. albicans</em> morphological switches using bulk approaches (e.g., RNA sequencing), here we describe a single-cell and single-molecule RNA imaging and analysis protocol to measure absolute mRNA counts in morphologically intact cells. To detect endogenous mRNAs in single fixed cells, we optimized a single molecule fluorescent <em>in situ</em> hybridization (smFISH) protocol for <em>C. albicans</em>, which allows one to quantify the differential expression of mRNAs in yeast, pseudohyphae or hyphal cells. We quantified the expression of two mRNAs, cell cycle-controlled mRNA (<em>CLB2)</em> and a transcription regulator (<em>EFG1</em>), which show differential expression in the different morphological cell types and in different nutrient conditions. In this protocol, we described in detail the major steps of this approach: growth and fixation, hybridization, imaging, cell-segmentation and mRNA spot analysis. Raw data is provided with the protocol to favour reproducibility. This approach could benefit the molecular characterization of <em>C. albicans</em> and other filamentous fungi, pathogenic or non-pathogenic.</p> <p><strong>Data description:</strong></p> <p>This dataset consists of a FISH experiment spanning two different mRNAs, EFG1 and CLB2, and one nutrient condition, SPIDER37, in Candida albicans. For culturing, the C. albicans wildtype strain SC5314 was inoculated at 30 degrees overnight (~15 hours) in 10 mL of TSB medium in a 30 °C shaking incubator. Next, samples were diluted to a density of 10^5 cells/ mL and inoculated for 6 hours in 30 mL Spider medium at 37 °C in falcon tubes on an orbital microplate shaker. Then, samples were fixated by adding PFA to a final concentration of 4% to the medium. For hybridization, both mRNAs were hybridized independently by specific DNA oligo labelled with a Quasar670 dye to enable the visualisation of single mRNA molecules. As both genes are labelled by the same dye, these oligos were not co-applied to the same sample but to independent samples.</p> <p><strong>Microscopy</strong></p> <p>For smFISH imaging we use an Olympus BX-63 epifluorescence microscope equipped with Ultrasonic stage and UPlanApo 100x 1.35NA oil-immersion objective (Olympus). Lumencore SOLA FISH light source, a Hamamatsu ORCA-Fusion sCMOS camera (6.5 µm-pixel size) mounted using U-CMT C-Mount Adapter, and zero-pixel shift filter sets: F36-500 DAPI HC Brightline Bandpass Filter, F36-502 FITC HC BrightLine Filter, F36-542 Cy3 HC BrightLine Filter, and F36-523 Cy5 HC BrightLine Filter. Images are acquired across 61-81 optical sections (depending on the sample thickness) with a z-step size of 0.2 μm. The CellSens software (Olympus) is used for instrument control and image acquisition. For the DAPI channel 10-50 ms of exposure was used. Whilst, for the CY5 channel, used for imaging the FISH probes, 750 ms was applied. </p>
Observation and control of hybrid spin-wave–Meissner-current transport modes
<p>Dataset accompanying the manuscript "Observation and control of hybrid spin-wave-Meissner-current transport modes" (https://arxiv.org/pdf/2307.07581.pdf).</p>
Brown and white layer pullet hybrids show different fear responses towards humans, but what role does light during incubation play in that?
<p>Good early life conditions are increasingly recognized as essential to animal welfare later in life. The use of light during incubation might improve coping capacities and welfare in later life in poultry, by more closely approximating chicken natural environments compared to the current conventional incubation in darkness. Previous studies showed that lighted incubation resulted in more lateralized chicks, a more pronounced daily behavior rhythm, earlier onset of melatonin rhythms, and lower stress reactions to various stressors after hatching. Most existing research, however, has been conducted on broilers, and little information on lighted incubation is available for laying hens. In the current research, Dekalb White and ISA Brown eggs were incubated in complete darkness or in a cycle of green 12L:12D throughout incubation, and five fear of human tests were performed on the 387 chickens during the rearing phase. We expected dark-incubated chickens to show stronger fear responses than light-incubated chickens. That was only the case for one of 15 behavior measurements taken during the tests (<em>p</em> < 0.05). In addition, white layer hybrids are known to be flightier and more fearful than brown hybrids. In this study, white chickens indeed showed stronger fear responses than brown chickens in 12 of the 15 behavior measurements (<em>p</em> ≤ 0.002). Furthermore, we expected light during incubation to have stronger effects on white chickens than on brown chickens, because of the stronger transmission of light through white eggshells. However, the interaction between hybrid and incubation was never significant (<em>p</em> ≥ 0.18). Finally, contrary to our expectations, there was no effect of the incubation treatments or the hybrid on plasma corticosterone responses to a manual restraint test (<em>p</em> ≥ 0.36). Since there was a hybrid effect on behavior in this test, it is reasonable to think that behavior reflected coping style, rather than fear level. To conclude, the light regime used in this study does not seem as promising as expected to improve laying hen welfare. Finally, the brown hybrid was usually less fearful than the white hybrid, though there were some exceptions depending on the stressor, and that should be taken into account in research and in laying hen management.</p>
Hybrid AI trustworthiness characteristics mind map
<p>Mind map that considers the majority of AI criteria to be assessed for trustworthiness purpose on Hybrid AI robotic systems. We labelled the terms that have been emphasized, as requirements or European values to be respected, by references such as ALTAI and IEEE Ethically Aligned Design.</p>
Nuclear induction lineshape modeling via hybrid SDE and MD approach
<div class="page"> <div class="section"> <div class="layoutArea"> <div class="column"> <p>The temperature dependence of the nuclear-free induction decay in the presence of a magnetic-field gradient was found to exhibit motional narrowing in gases upon heating, a behavior that is opposite to that observed in liquids. This has led to the revision of the theoretical framework to include a more detailed description of particle trajectories since decoherence mechanisms depend on histories. In the case of free diffusion and single components, the new model yields the correct temperature trends. The inclusion of boundaries in the current formalism is not straightforward. We present a hybrid SDE-MD (stochastic differential equation – molecular dynamics) approach whereby MD is used to compute an effective viscosity and the latter is fed to the SDE to predict the line shape. The theory is in agreement with the experiments. This two-scale approach, which bridges the gap between short (molecular collisions) and long (nuclear induction) timescales, paves the way for the modeling of complex environments with boundaries, mixtures of chemical species, and intermolecular potentials.</p> </div> </div> </div> </div>
Pilot output of a hybrid micro-CPV solar panels with integrated micro-tracking and diffuse capture
<p>Dataset of power output of four final generation Insolight/Hiperion modules on the rooftop of the Instituto de Energía Solar - Universidad Politécnica de Madrid. These are micro CPV modules using integrated planar tracking and hybrid diffuse collection. The modules have a four terminal output: the "CPV" output corresponds to triple junction micro solar cells under ~100X concentration using integrated planar tracking and the "SI" output corresponds to an array of IBC silicon solar cells which ocupies the rest of hte backplane area and harvests light not captured by the concentrator. See References for more information</p><p><strong>Monitoring campaign:</strong></p><ul><li>Location: 40.453°N, -3.727°E. <a href="https://www.google.com/maps/place/40%C2%B027'11.6%22N+3%C2%B043'37.3%22W/@40.453215,-3.7275722,142m/data=!3m2!1e3!4b1!4m13!1m6!3m5!1s0x0:0xc636231f90c3bbeb!2sInstituto+de+Energ%C3%ADa+Solar!8m2!3d40.4531766!4d-3.7269107!3m5!1s0x0:0x0!7e2!8m2!3d40.4532142!4d-3.7270248">Instituto de Energía Solar</a>, Universidad Politécnica de Madrid. 28040 Madrid, Spain.</li><li>Starting date: 19 Oct 2022</li><li>End date: 1 Dec 2022</li></ul><p><strong>Measurement setup:</strong></p><ul><li>The four modules included in this data set were mounted on an 8 module pilot array.</li><li>The four modules have the following ID numbers: 195, 196, 197, and 198</li><li>The modules were mounted at a fixed mounting angle: Due South, Slope Angle = 30°</li><li>All modules were connected to two Enphase IQ7+ microinverters (one per output) to place them at MPPT.</li><li>CPV and SI voltages and currents wer measured with the Enphase monitoring gateway (Envoy)</li><li><strong>NOTE: Some shading on array in mornings due to time of year.</strong></li></ul><p><strong>Description of data file:</strong></p><ul><li><strong>Data files format:</strong> single comma-separated text file; headers in first row; all of the following parameters; order below is the same as order in file</li><li><strong>Measurement time</strong>: the vector of times represents the times at which the Insolight module firmware sampled the current values of the III-V and Si outputs (measured simultaneously).<ul><li>Date Time (dd/mmm/yyyy HH:MM:SS): time in local civil time (data set begins in CEST / UTC+2 but on 30-Oct-22 transitions to CET / UCT+1 with the end of central european summer time.</li></ul></li><li><strong>Measured meteorological data</strong>: these values are measured directly by the IES meteorological station with 1-minute resolution. They have been re-interpolated to match the measurement times.<ul><li>DNI (W/m2): direct normal irradiance as measured by a Normal Incidence Pyrheliometer from Eppley on a solar tracker. Spectral Range: 250-3000 nm. Field of view: 5°</li><li>DNI_Top (W/m2): equivalent direct normal irradiance as measured by a top component cell of a lattice-matched III-V triple-junction cell in the ICU-3J35 Triband Spectro-heliometer from Solar Added Value on a solar tracker. Spectral range: 300 - 680 nm. Field of view: 5.7º</li><li>DNI_Mid (W/m2): equivalent direct normal irradiance as measured by a middle component cell of a lattice-matched III-V triple-junction cell in the <a href="http://solaraddedvalue.com/en/category/products/spectro-heliometer/">ICU-3J35</a> Triband Spectro-heliometer from Solar Added Value on a solar tracker. Spectral range: 680 - 900 nm. Field of view: 5.7º</li><li>GNI (W/m2): global normal irradiance at the aperture plane as measured with a pyranometer on a solar tracker. Spectral range: 305 – 2800 nm.</li><li>T_Amb (°C): ambient temperature</li><li>Wind Speed (m/s): wind speed</li><li>Wind Dir. (m/s): wind direction</li></ul></li><li><strong>Processed meteorological data</strong>: these values are calculated from the above meteorological data and provided for convenience<ul><li>DII (W/m2): Direct Inclined (plane of array) Irradiance corresponding to the module slope angle has been calculated using the sun's known declination and hour angle from the time.</li><li>GII (W/m2): The Global Inclined (plane of array) Irradiance is calculated by first calculating the DII(41°), that is the DII corresponding to the G(41°) measurement, and finding the Diffuse Inclined Irradiance Diff(41°) = G(41°) – DII(41°). It is assumed that the Diffuse Inclined Irradiance at 41° and 30° is equal, so GII = DII + Diff(41°).</li><li>SMR_Top_Mid (n.d.): "Spectral Matching Ratio". This is the ratio between DNI_Top and DNI_Mid. A value of unity indicates a spectrum that is equivalent to AM1.5D with regards to the energy balance between top and middle subcells.</li></ul></li><li><strong>Measured module data:</strong> The MP voltage and current are provided for each output of each module. XXX indicates ID number of module. The power in watts may be found by multiplying these values<ul><li>V_CPV_XXX(V):</li><li>V_SI_XXXi (V)</li><li>I<i>_</i>CPV_XXX(A):</li><li>I<i>_</i>SI_XXXi (A)</li></ul></li></ul>
Assessing hybrid vigor using the thermal sensitivity of physiological trade-offs in tiger salamanders
<ol> <li>Hybridization between species affects biodiversity and population sustainability in numerous ways, many of which depend on the fitness of the hybrid relative to the parental species. Hybrids can exhibit fitter phenotypes compared to the parental lineages, and this 'hybrid vigor' can then lead to the extinction of one or both parental lines.</li> <li>In this study, we analyzed the relationship between water loss and gas exchange to compare physiological performance among three tiger salamander genotypes – the native California tiger salamander (CTS), the invasive barred tiger salamanders (BTS), and CTS x BTS hybrids across multiple temperatures (13.5°C, 20.5°C, and 23.5°C). We developed a new index of performance, the water-gas exchange ratio (WGER), which we define as the ratio of gas exchange to evaporative water loss (µL VO<sub>2</sub>/µL H<sub>2</sub>O). The ratio describes the ability of an organism to support energetically costly activities with high levels of gas exchange while simultaneously limiting water loss to lower desiccation risk. We used flow-through respirometry to measure the thermal sensitivity of metabolic rate and resistance to water loss of each salamander genotype to compare indices of physiological performance.</li> <li>We found that temperature had a significant effect on metabolic rate and resistance to water loss, with both traits increasing as temperatures warmed. Across genotypes, we found that hybrids have a higher WGER than the native CTS, owing to a higher metabolic rate despite having a lower resistance to water loss.</li> <li>These results provide greater insight into the physiological mechanisms driving hybrid vigor and offer a potential explanation for the rapid spread of salamander hybrids. More broadly, our introduction of the WGER may allow for species- or lineage-wide comparisons of physiological performance across changing environmental conditions, highlighting the insight that can be gleaned from multi-trait analysis of organism performance.</li> </ol>
Hybrid Closed Loop Insulin Delivery System in Hypoglycemia
ClinicalTrials.gov study NCT03215914. IPD Sharing: YES. Countries: 1. Publications: 2.
Ecological outcomes of hybridization vary extensively in Catostomus fishes
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Limited evidence for a positive relationship between hybridization and diversification across seed plant families
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Nuclear induction lineshape modeling via hybrid SDE and MD approach
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Determinants of microbiome composition: Insights from free-ranging hybrid zebras (Equus quagga × grevyi)
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Suturing fragmented landscapes: Mosaic hybrid zones in plants may facilitate landscape restoration
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Data from: The role of deep hybridization in fern speciation: Examples from the Thelypteridaceae
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Asymmetric song recognition does not influence gene flow in an emergent songbird hybrid zone
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Data from: Genetic and morphological evidence of a geographically widespread hybrid zone between two crocodile species, Crocodylus acutus and Crocodylus moreletii
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Out with the old, introgression with the new: Signals of ancient and recent admixture in hybridizing Mesoamerican crocodiles (Crocodylus acutus x Crocodylus moreletii)
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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.