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3,648 results for “induction”
Gathered datasets of cardiorespiratory activity by using the inductive coupling with single coil together with reference waveforms of ECG and spirometer
<p>Hereby the datasets, that were gathered during the experiments of monitoring the cardiorespiratory activity by using the inductive coupling together with the reference waveforms of ECG and spirometer, are published.:<br> Waveforms of inductive monitoring.zip<br> Reference waveforms of ECG and spirometer.zip</p> <p>A single volunteer participated in the experiments: healthy male, 33 years old, height of 183 cm and weight of 70 kg.</p> <p>The results are gathered from 12 positions lying around the thorax in imaginary horizontal level, approximately 10 mm below xiphisternal joint. The central position on front side of thorax is designated according to xiphisternum. The central position on front side of thorax is designated according to backbone.</p> <p>The datasets are available in .txt format, and are in separate .zip packages for inductive monitoring and reference waveforms. The correcponding dataset for every position can de identified by position number in both datasets. The signals are raw signals, not processed in any way.</p> <p>In the case of inductive monitoring the change variation of equivalent parallel resonance impedance (Rp) is shown. Concerning the reference waveforms, in the case of ECG, the result is shown in voltages (V). The reference data of respiration (gathered by using spirometer) is available in the form of two sets of digital pulses (0-s and 1-s). These pulses are representing the inhalation and exhalation i.e. either the rotor of the spirometer turns in one way or another. According to the frequency of the pulses, depending on the air flowing speed, the respiratory waveform can be constructed.</p>
Analysis of lac operon induction with single cell resolution using the DIMM microfluidics chip and the MoMA software
<p>In this work, we demonstrate the power of the DIMM (Dual Input Mother Machine), a new microfluidics setup allowing long term environmental control and single cell resolution, and MoMA (Mother Machine Analyzer), its companion image analysis sofware.</p> <p>We study the induction of the <em>lac</em> operon in <em>Escherichia coli</em> MG1655 when nutrients alternate between glucose and lactose, using a translational fusion of LacZ with GFP integrated at the endogeneous locus.</p> <p>The dataset is made of two archives:</p> <ul> <li>DIMM_MoMA_images.tar.gz contains the image data produced in this study in a form ready to be used in MoMA</li> <li>DIMM_MoMA_data.tar.gz contains textual data files produced by MoMA and its postprocessing, with the cell identifier, length and fluorescence intensity of each cell in each frame.</li> </ul> <p>Detailed instructions are provided in the ReadMe.md file (NB: this is a text file using markdown syntax, you can open it in your favorite text editor).</p>
Dataset for Article: Potential of dynamic wind farm control by axial induction in the case of wind gusts
<p>This is the dataset for the article "Potential of dynamic wind farm control by axial induction in the case of wind gusts". We provide the data as OUT-files from FAST.Farm simulation. Submission of revised manuscript: November 2023.</p>
Nuclear induction lineshape: Non-Markovian diffusion with boundaries
<div> <div> <div> <div> <p>The dynamics of viscoelastic fluids are governed by a memory function, which is critical yet computationally intensive to determine, particularly when diffusion is restricted by boundaries. We introduce a computational method that effectively captures the memory effects by analyzing the time-correlation function of the pressure tensor, an indicator of viscosity, through the analytic continuation of the Stokes-Einstein equation to the Laplace domain. This equation is integrated with molecular dynamics (MD) simulations to obtain necessary parameters. Our method computes NMR lineshapes by employing a generalized diffusion coefficient that incorporates the influences of temperature and confinement geometry. This approach establishes a direct link between the memory function and thermal transport parameters, enabling precise computation of NMR signals for non-Markovian fluids in confined geometries.</p> </div> </div> </div> </div>
Different photoperiodic responses in diapause induction can promote the maintenance of genetic diversity via the storage effect in Daphnia pulex
<p>Understanding mechanisms that promote the maintenance of biodiversity (genetic and species diversity) has been a central topic in evolution and ecology. Previous studies have revealed that dormancy can contribute to coexistence of competing genotypes or species in fluctuating environments via the storage effect. However, they tended to focus on differences in reproductive success (e.g., seed yield) and diapause termination (e.g., germination) timing. Here we tested whether different photoperiodic responses in diapause induction can promote coexistence of two parthenogenetic (asexual) genotypes of <em>Daphnia pulex </em>in Lake Fukami-ike, Japan. Through laboratory experiments, we confirmed that short day length and low food availability induced the production of diapausing eggs. Furthermore, we found that one genotype tended to produce diapausing eggs in broader environmental conditions than the other. Terminating parthenogenetic reproduction earlier decreases total clonal production, but the early-diapausing genotype becomes advantageous by assuring reproduction in "short" years where winter arrival is earlier than usual. Empirically parameterized theoretical analyses suggested that different photoperiodic responses can promote coexistence via the storage effect with fluctuations of the growing season length. Therefore, timing of diapause induction may be as important as diapause termination timing for promoting the maintenance of genetic diversity in fluctuating environments.</p>
Data from: Pharmacological HIF-1 activation upregulates extracellular vesicle production synergistically with adiponectin through transcriptional induction and protein stabilization of T-cadherin
<p>Pharmacological activation of hypoxia-inducible factor 1alpha (HIF-1α), a hypoxia-responsive transcription factor, has attracted increasing attention due to its efficacy not only in renal anemia but also in various disease models. Our study demonstrated that a HIF-1 activator enhanced exosome production from cultured endothelial cells synergistically with adiponectin, an adipocyte-derived factor, through both transcriptional induction and posttranscriptional stabilization of an adiponectin binding partner, T-cadherin. Increased exosome levels were observed in wild-type mice but not in T-cadherin null mice after consecutive administration of roxadustat. Adiponectin- and T-cadherin-dependent increased exosome production may be involved in the pleiotropic effects of HIF-1 activators.</p>
In vitro shoot regeneration and root induction of Hylocereus polyrhizus 'Da Hong' from Murashige and Skoog (MS) medium supplemented with 0.05–0.20 mg/L α-naphthaleneacetic acid (NAA).
<p>Figure S1. <em>In vitro </em>shoot regeneration and root induction of <em>Hylocereus polyrhizus</em> ‘Da Hong’ from Murashige and Skoog (MS) medium supplemented with 0.05–0.20 mg/L α-naphthaleneacetic acid (NAA). Treatments: CS, control; TS01, 0.05 mg/L NAA; TS02, 0.10 mg/L NAA; TS03, 0.20 mg/L NAA. Bar = 5 cm.</p>
In vitro shoot regeneration and root induction of Hylocereus polyrhizus 'Da Hong' from Murashige and Skoog (MS) medium supplemented with 0.05–0.20 mg/L α-naphthaleneacetic acid (NAA).
<p>Figure S1. <em>In vitro </em>shoot regeneration and root induction of <em>Hylocereus polyrhizus</em> ‘Da Hong’ from Murashige and Skoog (MS) medium supplemented with 0.05–0.20 mg/L α-naphthaleneacetic acid (NAA). Treatments: CS, control; TS01, 0.05 mg/L NAA; TS02, 0.10 mg/L NAA; TS03, 0.20 mg/L NAA. Bar = 5 cm.</p>
Epigenetic induction may speed up or slow down speciation with gene flow: code and data
<p>Speciation is less likely to occur when there is gene flow between nascent species. Natural selection can oppose gene flow and promote speciation if there is variation in ecological conditions among the nascent species' locations. Previous theory on ecological speciation with gene flow has focused primarily on the role of genetic variation in ecological traits, largely neglecting the role of non-genetic inheritance or transgenerational plasticity. <span>Here we present the simulation code and data from</span> models incorporating both genetic and epigenetic inheritance, the latter representing a form of non-genetic inheritance. We investigate the rate of speciation for a population that inhabits two patches, connected by migration, and find that adaptively-biased epigenetic induction can speed up or slow down speciation, depending on the form of the map from genotype and epigenotype to phenotype. While adaptively-relevant epigenetic variation can speed up speciation by reducing the fitness of migrants and hybrids, it can also slow down speciation. This latter effect occurs when the epialleles are able to achieve adaptation faster than the genetic alleles, thereby weakening selection on the latter.</p>
Chemical defense strategies, induction timing, growth, and tradeoffs in Pinus aristata and Pinus flexilis
<p>Tradeoffs among plant defense investment and fitness traits, including growth, are often invoked to explain evolutionary strategies targeted at resisting herbivores. Many Pinus species have specialized herbivores, including the mountain pine beetle, <em>Dendroctonus ponderosae</em>, (MPB), and have historically been a focus of defense investigations. We compared defense traits of two high-elevation <em>Pinus </em>species, <em>P. aristata</em> and <em>P. flexilis</em>, that are hosts to MPB and hypothesized to have different growth and defense traits and potential tradeoffs. Interspecific differences were assessed by sampling trees within the same stands, and intraspecific differences were assessed by sampling stands at sites across latitudes where both species co-occurred. Constitutive defenses were measured at day 0, and the timing, concentration, and composition of an induced resin defense response was assessed by sampling at 1, 4, and 30 days following either mechanical wounding only or a simulated MPB attack using its primary fungal symbiont <em>Grosmannia clavigera</em>. At day 4, induced resin concentrations did not differ between mechanical wounding and simulated MPB attack in either species. By day 30, resin defense concentrations in response to simulated MPB attack were greater than response to mechanical wounding and were >19-fold greater than constitutive levels. Results suggest that initial induced resin defense responses in the two species are likely generalized, with a delayed response that is targeted specifically at MPB and <em>G. clavigera</em>. At all sites, <em>P. aristata</em> had higher concentrations of constitutive and day 30 induced resin defenses compared to <em>P. flexilis</em>, although <em>P. flexilis</em> induced proportionately more. Tradeoffs in growth and defense between the species were only found at the two most climatically favorable sites where<em> P. aristata</em> grew slower than <em>P. flexilis</em>. No tradeoffs were found between the two defense types at either biological scale. Overall, our findings highlight that the two pine species growing in the same stands 1) have a delayed response to a specialized native herbivore and fungal symbiont, 2) only exhibited interspecific defense-growth tradeoffs at two climatically favorable sites, and showed no intraspecific defense-growth tradeoffs, 3) showed no tradeoffs between constitutive and induced defenses at either biological scale, and 4) have evolved different defense strategies.</p>
FI_WD20K & SI_WD20K: Datasets For Hyper-Relational Inductive Link Prediction
<p>The datasets correspond to the work presented in <a href="https://arxiv.org/abs/2107.04894">"Improving Inductive Link Prediction Using Hyper-Relational Facts"</a>.</p> <p> </p> <p> </p>
Page Induction Coil From US Patent #76,654
Smithsonian source data can be found [here](https://ids.si.edu/ids/media_view?id=3d_package:40cf5b52-0b21-4063-95fc-aa07998eb4dd) This media file is in the public domain (free of copyright restrictions). You can copy, modify, and distribute this work without contacting the Smithsonian. For more information and to review the 3D disclaimer, visit the Smithsonian's [Terms of Use](https://www.si.edu/Termsofuse) page. Page induction coil from US Patent #76,654 Maker: Charles G. Page Measurements: overall: 7 in x 8 3/4 in x 4 3/4 in; 17.78 cm x 22.225 cm x 12.065 cm Object Name: Induction Coil Date Made: ca 1868 ID Number: EM.309254 Catalog Number: 309254 Patent Number: 76654 Accession Number: 49064 Data Source: National Museum of American History EDAN-URL: edanmdm:nmah_703318 Source: Objaverse 1.0 / Sketchfab
Segregation of losses, efficiency and temperature register of an induction generator working at overrated variable load conditions
Open the record for dataset details and reuse information.
Data from: Age-specific induction of mutant p53 drives clonal hematopoiesis and acute myeloid leukemia in adult mice
<p>The investigation of the mechanisms behind p53 mutations in acute myeloid leukemia (AML) has been limited by the lack of suitable mouse models, which historically have resulted in lymphoma rather than leukemia. This study introduces two new AML mouse models. One model induces mutant p53 and <em>Mdm2</em> haploinsufficiency in early development, showing the role of Mdm2 in myeloid-biased hematopoiesis and AML predisposition, independent of p53. The second model mimics clonal hematopoiesis by inducing mutant p53 in adult hematopoietic stem cells, demonstrating that the timing of p53 mutation determines AML versus lymphoma development. In this context, age-related changes in hematopoietic stem cells (HSCs), collaborates with mutant p53 to predispose towards myeloid transformation rather than lymphoma development. Our study unveils new insights into the cooperative impact of HSC age, <em>Trp53</em> mutations and <em>Mdm2</em> haploinsufficiency on clonal hematopoiesis and the development of myeloid malignancies.</p>
Inductive biases of neural network modularity in spatial navigation
<p>The brain may have evolved a modular architecture for reward-based learning in daily tasks, with circuits featuring functionally specialized modules that match the task structure. We propose that this architecture enables better learning and generalization than architectures with less specialized modules. To test this hypothesis, we trained reinforcement learning agents with various neural architectures on a naturalistic navigation task. We found that the architecture that largely segregates computations of state representation, value, and action into specialized modules enables more efficient learning and better generalization. The behavior of agents with this modular architecture also resembles macaque behaviors more closely. Investigating the latent state computations in these agents, we discovered that the learned state representation combines prediction and observation, weighted by their relative uncertainty, akin to a Kalman filter. These results shed light on the possible rationale for the brain's modular specializations and suggest that artificial systems can use this insight from neuroscience to improve learning and generalization in natural tasks.</p>
Surrogate models to assess the induction of arrhythmias during virtual programmed ventricular stimulation
<p>These videos show a simulation of the Programmed Ventricular Stimulation (PVS). The first video represents the entire mesh simulation, and the second video the surrogate model.</p>
Inductively heatable catalytic materials for the dehydrogenation of the liquid organic hydrogen carrier (LOHC) perhydro dibenzyltoluene
<p>This data publication is based on the metadata and datasets underlying the manuscript: "Inductively heatable catalytic materials for the dehydrogenation of the liquid organic hydrogen carrier (LOHC) perhydro dibenzyltoluene "</p>
Towards a more inductive world for drug repurposing approaches
<pre>This is the official Zenodo repository of the paper "Towards a more inductive world for drug repurposing approaches". The related arXiv publication can be found <a href="https://arxiv.org/abs/2311.12670" target="_blank" rel="noopener"><em>here</em></a>. <br><br>Please refer to the README.md file for comprehensive information about the uploaded files.<br><br>The GitHub Repository with the code can be accesed here: <a href="https://github.com/ML4BM-Lab/GraphEmb/" target="_blank" rel="noopener">https://github.com/ML4BM-Lab/GraphEmb/</a>.</pre>
3-D synthetic near surface data set with frequency-domain electromagnetic induction data
<p>Realistic three-dimensional exhaustive data set that mimics a near surface mining landfill deposit of waste fine-shaly sands. The data set is composed by petrophysical properties and frequency domain electromagnetic induction (FDEM) data and was created with the purpose of testing algorithms for near-surface modeling and characterization using electromagnetic data.</p> <p>The set of petrophysical properties include porosity, water saturation, particle density and density. Each property corresponds to a single geostatistical realization. The three-dimensional model has a dimension of 150 by 200 by 4 meters (i.e., length, width, depth) with a cell size of 0.5 m by 0.5 m by 0.1 m, respectively (grid size of 300 x 400 x 40). The model grid has 4.8 million cells.<br> Porosity and particle density were modelled based on samples of fine-shaly sands collected at a mine tailing in Portugal for which we investigated porosity, specific weight and particle density. The results of these investigations were used to generate three-dimensional models of subsurface rock properties with unconditional stochastic sequential simulation (Deutsch & Journel, 1998).<br> Porosity was modelled with an omnidirectional spherical variogram model in the horizontal direction. The variogram model has a horizontal range of 10 m, a vertical range of 1 m and a nugget effect of 0.2 % of the total variance of the data. This variogram model describes the expected spatial distribution of this property in the mine tailing.</p> <p>To ensure plausibility between rock properties, particle density and water saturation models were generated with stochastic sequential co-simulation (Deutsch & Journel, 1998) conditioned to the porosity model. For particle density we imposed an omnidirectional spherical variogram model in the horizontal direction with a range of 10 m, a vertical range of 1 m and a nugget effect of 0.2 % of the total variance of the data, and the correlation between porosity and particle density from the lab measurements. For water saturation we imposed an omnidirectional spherical variogram model in the horizontal direction with a range of 16 m, a vertical range of 2 m and a nugget effect of 0.1 (%). For the co-simulation we imposed a correlation between porosity and water content, borrowed from Bhanbhro et al. (2013) and Dumont et al. (2016).</p> <p>The pore fluid was defined as consisting in 80% of water and 20% of leachate, having a density of 0.99114 g/cm3 at a temperature of 30ºC (Souza et al., 2014). The density was mathematically calculated from porosity and particle density models and the density of the pore fluid by using a simple volumetric average of the geological material densities and its relationship to porosity (Mavko et al., 2009), <em>d</em><sub><em>b</em> </sub>= (1 - Ø) <em>d<sub>0</sub></em> Ø <em>d<sub>fl</sub></em> , where <em>d<sub>0</sub></em> is the density of the mineral grains, <em>d<sub>fl</sub></em> is the density of the pore fluids, and Ø is porosity.</p> <p>The electrical conductivity (EC) was created based on the well-known empirical relationship of Archie’s law (Archie, 1942). We first calculate electrical conductivity using the following equation, <em>R<sub>t</sub></em> = <em>a</em> <em>S<sub>w</sub><sup>-n</sup></em> Ø<sup><em>-m</em></sup> <em>R<sub>w</sub></em> , where <em>a</em> is the tortuosity constant, assumed as 0.88, <em>S<sub>w</sub></em> is the water saturation, <em>n</em> is the saturation exponent, assumed as 2, Ø is the porosity, <em>m</em> is the cementation exponent, assumed as 1.37, and <em>R<sub>w</sub></em> is the electrical resistivity of the pore fluid, assumed as 0.25. From the lithology and range of porosity values of the mining landfill model, the values of <em>a</em>, <em>n</em> and <em>m</em> were defined from Keller (1987). The electrical resistivity of the pore fluid was defined based on its composition and density (Keller, 1987). The EC was calculated based on Archie´s second law (Archie, 1942), where conductivity of the partially saturated rock (<em>c<sub>t</sub></em>) is the inverse of its resistivity (<em>R<sub>t</sub></em>), <em>c<sub>t</sub></em> = 1 / <em>R<sub>t </sub></em> (Mavko et al., 2009).</p> <p>Since the relationship between magnetic minerals and the magnetic properties of the rocks depends primarily of the composition and grain size of them (Butler, 2005), the magnetic susceptibility (MS) was modelled using the common range of magnetic susceptibility for unconsolidated sediments (Hudson et al., 1999) with unconditional stochastic sequential simulation (Deutsch & Journel, 1998), imposing an omnidirectional spherical variogram model in the horizontal direction with a range of 20 m, a vertical range of 4 m and a nugget effect of 0.1 % of the total variance.</p> <p>From the resulting three-dimensional models of EC and MS, we retrieved nine equally spaced boreholes along the same yz profile. These borehole data might be used as experimental data for modelling workflows, including geophysical inversion.</p> <p>FDEM data, both the in-phase (IP) and quadrature-phase (QP), were calculated using a 1-D forward model (Hanssens et al., 2019). The acquisition configuration replicates one of the most common sensors for FDEM near-surface surveys, namely the DUALEM-421S (DUALEM Inc., Milton, Canada). It considers two loop-loop coil orientations, a horizontal coplanar (HCP) and a perpendicular one (PRP), with the normal 3 offsets per coil orientation for this equipment, 1, 2 and 4 meters for HCP, and 1.1, 2.1 and 4.1 meters for PRP, plus an extra offset per coil orientation, 10 meters for HCP and 10.1 meters for PRP, ensuring a theoretical larger depth of investigation. The FDEM data were calculated defining the operating frequency of the sensor as 9000 Hz, with an elevation to the surface of 0.15 m.</p>
Gene induction by natural toxins in Drosophila melanogaster
<p>The transcriptional response of third instar Drosophila larvae to food laced with caffeine, pyrethrum oil or neem oil was assessed using Agilent 4x44K printed microarrays. Among the most notable responsive genes were those belonging to cytochrome P450 and Ecdysone-like kinase gene families.</p>
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