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369 results for “Permeability”
Permeability and groundwater flow dynamics in deep-reaching orogenic faults estimated from regional-scale hydraulic simulations
<p>Input file and porosity and permeability datasets to run the case in Figure 3a.</p>
General database on O2/CO2 and H20 permeability for polymer-based nano composites
<p>More than 1000 values (i.e. about 170 articles) of the 1995-2015 period containing measured values of O2, CO2 and H2O permeability in polymer-based nanocomposites were collected from the available literature and capitalized in this dedicated on-line database. These data were assorted and compared in order to decipher the role of particle shape (either iso-dimensional, elongated or platelets nanoparticles) on the reduction of the relative permeability of the nano composite. The proposed on-line database consists in the first and unprecedented compilation of permeability values for nanocomposite based materials</p>
Co-Dispersion Delivery Systems with Solubilizing Carriers Improving the Solubility and Permeability of Cannabinoids (Cannabidiol, Cannabidiolic Acid, and Cannabichromene) from Cannabis sativa (Henola Variety) Inflorescences
<p>Article, Dataset for article</p> <p> </p> <h2>Abstract</h2> <div>Cannabinoids: cannabidiol (CBD), cannabidiolic acid (CBDA), and cannabichromene (CBC) are lipophilic compounds with limited water solubility, resulting in challenges related to their bioavailability and therapeutic efficacy upon oral administration. To overcome these limitations, we developed co-dispersion cannabinoid delivery systems with the biopolymer polyvinyl caprolactam-polyvinyl acetate-polyethylene glycol (Soluplus) and magnesium aluminometasilicate (Neusilin US2) to improve solubility and permeability. Recognizing the potential therapeutic benefits arising from the entourage effect, we decided to work with an extract instead of isolated cannabinoids. <span>Cannabis sativa</span> inflorescences (Henola variety) with a confirming neuroprotective activity were subjected to dynamic supercritical CO<sub>2</sub> (scCO<sub>2</sub>) extraction and next they were combined with carriers (1:1 mass ratio) to prepare the co-dispersion cannabinoid delivery systems (HiE). In vitro dissolution studies were conducted to evaluate the solubility of CBD, CBDA, and CBC in various media (pH 1.2, 6.8, fasted, and fed state simulated intestinal fluid). The HiE-Soluplus delivery systems consistently demonstrated the highest dissolution rate of cannabinoids. Additionally, HiE-Soluplus exhibited the highest permeability coefficients for cannabinoids in gastrointestinal tract conditions than it was during the permeability studies using model PAMPA GIT. All three cannabinoids exhibited promising blood-brain barrier (BBB) permeability (P<sub>app</sub> higher than 4.0 × 10<sup>−6</sup> cm/s), suggesting their potential to effectively cross into the central nervous system. The improved solubility and permeability of cannabinoids from the HiE-Soluplus delivery system hold promise for enhancement in their bioavailability.</div> <div> <div> <div>Keywords: </div> <a href="https://www.mdpi.com/search?q=cannabidiol">cannabidiol</a>; <a href="https://www.mdpi.com/search?q=cannabidiolic+acid">cannabidiolic acid</a>; <a href="https://www.mdpi.com/search?q=cannabichromene">cannabichromene</a>; <a href="https://www.mdpi.com/search?q=cannabis">cannabis</a>; <a href="https://www.mdpi.com/search?q=solubility">solubility</a>; <a href="https://www.mdpi.com/search?q=permeability">permeability</a></div> </div>
Permeability Anisotropy Data of Carbonate Fault Rocks
<p>Permeability and porosity data from core plugs of faulted and unfaulted carbonate lithofacies. 2D and 3D image analysis results of samples used in the publication also included.</p>
Dataset - Permeability and viscoelastic fracture of a model tumor under interstitial flow
<p>This includes all the experimental data which are presented in the paper titled "Permeability and viscoelastic fracture of a model tumor under interstitial flow", Soft Matter, 2018 by Quang D. Tran, Marcos and David Gonzalez-Rodriguez.</p> <p>In each data folder, we have attached a Readme file to instruct readers how to analyze or compute our data.</p>
Study on the effects of heterogeneous distribution of methane hydrate on permeability of porous media using low-field NMR technique
<p>Data sets for the Publication 'Study on the effects of heterogeneous distribution of methane hydrate on permeability of porous media using low-field NMR technique' in Water Resources Research.</p>
Changes in Permeability Caused by Two Consecutive Earthquakes – Insights from the Responses of a Well-Aquifer System to Seismic Waves
<p>All data used in paper "Changes in Permeability Caused by Two Consecutive Earthquakes – Insights from the Responses of a Well-Aquifer System to Seismic Waves".</p>
Inconsistent Permeability Changes along a Fault Zone Caused by the Xingwen M5.7 Earthquake in SW China
<p>Data for manuscript " Inconsistent Permeability Changes along a Fault Zone Caused by the Xingwen <em>M</em>5.7 Earthquake in SW China "</p>
Permeable pavement hydraulic performance and clogging experiments using a full-scale urban drainage physical model
<p>This dataset contains the results from 15 tests conducted used a physical model in the Hydraulic Laboratory of the Centre for Technological Innovation in Construction and Civil Engineering (CITEEC) at the University of A Coruña (Spain) as part of the POREDRAIN project.</p> <p><br>The objective of the tests is to analyse the hydraulic performance of a porous asphalt layer of the PA-16 type and the impact of clogging on the hydrological behaviour and water quality of the effluent. The porous asphalt was used to retrofit an impervious concrete surface of a 36 m² full-scale street section physical model, which consist of a rainfall simulator placed over the street surface. The behaviour of the porous asphalt layer was assessed by adding surface sediment loads between simulated rainfall events. Stormwater flow discharges were collected from two gully pots and an outlet lateral channel. </p>
B3DB Dataset adapted for A Transparent Machine Learning Model To Understand Drugs Permeability Through the Blood Brain Barrier
<p>The B3DB dataset which we adapted for use for our paper "A Transparent Machine Learning Model To Understand Drugs Permeability Through the Blood Brain Barrier"</p>
Dataset supporting "From mouth to gut: microfluidic in vitro simulation of human gastro-intestinal digestion and intestinal permeability"
<p>Manuscript abstract:</p> <p>Reproducible <em>in vitro</em> studies of bioaccessibility, intestinal absorption and bioavailability are key to the successful development of novel foods and drugs aiming for oral administration. There is currently a lack of methods that offer the finesse required to study these parameters for valuable molecules in small volumes - as is the case of nanomaterials under research. Here, we describe a modular microfluidic-based platform for total simulation of the human gastro-intestinal tract. Digestion-chips and cell-based gut-chips were fabricated from PDMS by soft lithography. On-chip digestion was validated using a fluorescently-labelled casein derivative, which followed typical Michaelis-Menten kinetics and showed temporal resolution and good agreement with well-established bench-top protocols. Irreversible inhibition of serine proteases using Pefabloc® SC and a 1:6 dilution was sufficient to mitigate the cytotoxicity of simulated digestion fluids. Caco-2/HT29-MTX co-cultures were grown on-chip under continuous flow for 7 days to obtain a differentiated cell monolayer forming a 3D villi-like epithelium with clear tight junction formation, and with an apparent permeability (P<sub>app</sub>) of Lucifer Yellow closely approximating values reported <em>ex vivo</em> (3.7x10<sup>-6</sup> ± 1.4x10<sup>-6</sup> vs 4.0x10<sup>-6</sup> ± 2.2x10<sup>-6</sup>). Digesta from the Digestion-chips were flowed through the Gut-Chip demonstrating the capacity to study sample digestion and intestinal permeability in a single microfluidic platform holding great promise for its use in pharmacokinetics studies.</p>
Data for study on the permeability of biogeographic barriers to marine species on the east and west coasts of North America
<p><strong>Aim</strong>: We assess the role of contemporary oceanography and species traits in shaping observed patterns of biogeography over broad spatial scales.</p> <p><strong>Location</strong>: Our study domain covers the east and west coasts of North America, from 30° to 73° on the east coast and 33° to 73° on the west coast.</p> <p><strong>Time Period</strong>: Hydrodynamic models use climatological fields from 1990 to 2015 on the east coast, and 1993 to 2018 on the west coast.</p> <p><strong>Major Taxa Studied:</strong> Model simulations represent larval dispersal for generalized benthic invertebrate species distributed in the subtidal zone from 10 m to 100 m depth, with planktonic larval durations ranging from 21–60 days.</p> <p><strong>Methods</strong>: We conducted a literature review to identify major biogeographic barriers along the east and west coasts of North America, and then assessed the permeability of these barriers to larval dispersal using Lagrangian Particle Tracking. We ran a series of simulations in which we varied the suitable habitat distribution, planktonic larval duration, and spawning seasonality of simulated larvae (i.e. particles) to assess the role of species traits on biogeography.</p> <p><strong>Results</strong>: Our results showed a strong alignment of observed biogeographic barriers with larval dispersal patterns, with high variation in barrier permeability depending on the traits of the species considered. The location of suitable habitat and the season during which particle release occurred were the biological traits that drove much of the variation in barrier permeability among simulations on both coasts.</p> <p><strong>Main Conclusions</strong>: Our results indicate an important role of contemporary oceanographic and geographic features in determining the biogeography of species whose primary dispersal is during larval stages, suggesting that climate change is likely to alter patterns of species biogeography. Our results also demonstrate that species traits play a strong role in determining the location and strength of biogeographic barriers.</p>
Data from: Direct evidence of permeability evolution of Nanan granite after two cooling paths under different confining pressures: A comparative study
<p>Permeability decides the mass transfer behavior and plays a key role in the heat extraction of enhanced geothermal systems (EGSs), and the aim of the injection of cooling water is to enhance permeability within the geothermal reservoirs. Direct evidence of how cool water affecting permeability evolution is still limited. Therefore, we explored the permeability evolution of Nanan granite after air and water cooling under different confining pressures combined with optical microscopy and X-ray CT observation. We found that there are lots of microdefects observed in Nanan granite after two cooling paths, which dominantly drives the evolution of permeability from a microscopic scale. The permeabilities of granite under water-cooling condition are always larger than those under air-cooling condition, and water-cooling treatment further enhances the permeability of specimens. The permeabilities of granite specimens after two cooling paths decrease with confining stress. More microcracks and better connectivity among microcracks produce a larger permeability within the specimen after water cooling. The observed microcracks are regarded as the seepage channels and direct microscale evidence of permeability evolution of granite after two cooling paths. Our results may suggest that water injection is an efficient way for permeability enhancement due to thermal microcracks propagation in thermal simulation.</p>
Permeable Curbs for Storm Water Pollution
<p>One of the problems that increased urbanization poses is storm water pollution. Several control measures exist that are used to treat and reduce pollution in our waterways, one of those being permeable concretes; but these have not been widely adopted. The goal of this project was to develop a permeable curb apparatus that could be used in retrofitting conventional streets. The permeable curb is comprised of a permeable concrete mix with a perforated pipe running through its center, this allows for water to filter through the porous concrete and continue downstream through the perforated pipe which would eventually lead to our water ways. Project goals include determining permeable curbs pollutant removal efficiencies, and best cleaning options needed to be optimally utilized in urban environments. A test apparatus simulating a typical street profile is used in the laboratory environment to determine the percentage of solids that can be removed from the water treated for typical design rain events, the potential for clogging and fouling of the curb, and the ability to recover lost performance through cleaning the permeable curb. Results to date show that 95% solids removal is possible for up to 15 years of simulated solids loading to the curb. The diameter size range of the 5% of solids that do pass through the curb were measured to be in the range of 2 - 55 mm. Particle sizes larger than this tend to be caught within the curb and contributed eventually to curb clogging resulting in reduced hydraulic flow capacity. Cleaning cycles of the curb at a moderate backwash rate of 0.1 m<sup>3</sup> m<sup>-2­</sup> min<sup>-1</sup> did not recover solids trapped within the curb with only 7 % of the prior trapped solids removed from the curb in the cleaning process.</p>
Characterization of the flow through innovative permeable fairings at the VKI WAABLIEF facility
<p>Aircraft-noise mitigation is a significant issue in the aviation industry due to the operation and expansion of airports and the growth of residential areas surrounding them. Take-off and landing are considered critical phases of a flight path regarding the noise impact. During a typical approach, the airframe noise has become a dominant noise source as the engine noise has been reduced after intensive studies performed for decades. Landing gears (LGs) are among the main contributors to the generation of this noise source, and one of the promising noise-reduction technologies (NRTs) that have been proposed consists of placing flow-permeable fairings in front of them. However, the development of these NRTs is limited due to the strong integration constraints imposed by the other disciplines and the lack of knowledge of the complex flow physics involved in the problem.</p> <p>The project INVENTOR, funded by the European Union in the framework of the H2020 MG-1-5-2019 call ”Advancements in aerodynamics and innovative propulsion systems for quieter and greener aircrafts” (Grant Agreement number: 860538), aims to fill this scientific gap and understand the noise generated by LGs integrated with porous fairings through numerical methods. Nevertheless, these flow-permeable materials must be modeled and validated through measurements to obtain high-accuracy numerical predictions. Therefore, the objective of the present submission is to provide an extensive experimental dataset of the characterization of the flow through fairings fitted with innovative porous materials. The measurement campaign has been carried out at the WAABLIEF facility of the von Karman Institute for Fluid Dynamics (VKI) and contains particle-image-velocimetry, hot-wire-anemometry, and total-pressure measurements at different flow speeds and with several materials. The document attached to the dataset includes all the information required to numerically reproduce the VKI experimental setup.</p>
Analysis scripts and PFLOTRAN input files for "Impacts of permeability heterogeneity and background flow on supercritical CO2 dissolution in the deep subsurface"
<p>Supporting files for manuscript <em>Impacts of permeability heterogeneity and background flow on supercritical CO2 dissolution in the deep subsurface </em>(preprint published at https://arxiv.org/abs/2305.12575).</p> <p>Contents:</p> <ul> <li>PFLOTRAN input files (*.in) for the simulations that were used in the manuscript.</li> <li>The corresponding heterogeneous permeability fields for those simulations (*.h5).</li> <li>The CO2 property database for use with the PFLOTRAN MPHASE module.</li> <li>Python scripts for generation of the random fields and quantification of uptake rate.</li> <li>Jupyter notebooks for generation of summary figures.</li> <li>Excel spreadsheet summarizing the output of each of the simulations.</li> </ul>
Improved dual-permeability model for characterizing the mass transfer process inside matrix blocks
<p>The dual-permeability model (DPM) is highly efficient for describing bimodal transport in heterogeneous porous media. However, it uses only one domain to describe the matrix blocks, and it therefore ignores the impact of the mass transfer process inside the matrix blocks at the microscale. Therefore, in this study, to investigate the effect of the mass transfer process in dual-permeability media and the computational accuracy when considering it, the dual-permeability model with a transition domain (DPMTD) is proposed based on the DPM. Comparison of the DPMTD with the DPM by applying them to a sand column experiment with the same concept as the model reveals that the DPMTD captures the bimodal transport (especially the first peak) more effectively because it calculates the rapid exchange of solute in the early stage more accurately. Subsequently, the same conclusion is reached when both models are applied to a reported solute displacement experiment for an Andisol. In short, we suggest that the mass transfer process inside matrix blocks needs to be characterized in the model to achieve higher accuracy and provides a new approach for modeling the solute transport of preferential flow.</p>
Data from: Plasma proteomic signatures of enteric permeability among hospitalized and community children under two years of age in Kenya and Pakistan
<p class="MsoNormal">We aimed to establish if enteric permeability was associated with similar biological processes in children recovering from hospitalization and relatively healthy children in the community. Extreme gradient-boosted models predicting the lactulose rhamnose ratio, a biomarker of enteric permeability, using 7,500 plasma proteins and 34 fecal biomarkers of enteric infection among 89 hospitalized and 60 community children aged 2-23 months were built. The R<sup>2</sup> were calculated in test sets. The models performed better among community (R<sup>2</sup>: 0·27 [min-max: 0·19, 0·53]) than hospitalized children (R<sup>2</sup>: 0·07 [min-max: 0·03, 0·11]). In the community, LRR was associated with biomarkers of humoral antimicrobial and cellular lipopolysaccharide responses, and inversely associated with anti-inflammatory and innate immunological responses. Among hospitalized children, the selected biomarkers had few shared functions.<strong> </strong>This suggests enteric permeability among community children was associated with a host response to pathogens, but this association was not observed among hospitalized children.</p>
BBB permeability, sleep and qRT-PCR data for: The Drosophila blood-brain barrier regulates sleep via moody GPCR signaling
<p class="MsoNormal"><span>Sleep is vital for most animals, yet its mechanism and function remain unclear. We found that permeability of the BBB–the organ required for maintenance of homeostatic levels of nutrients, ions, and other molecules in the brain–is modulated by sleep deprivation and can cell-autonomously effect sleep changes. We observed increased BBB permeability in </span>known<span> sleep mutants as well as in acutely sleep deprived animals. In addition to molecular tracers, sleep deprivation-induced BBB changes also increased penetration of drugs used in the treatment of brain pathologies. After chronic</span>/<span> genetic or acute sleep deprivation, rebound sleep or administration of the sleeping aid gaboxadol normalized BBB permeability, showing that sleep deprivation effects on the BBB are reversible. Along with BBB permeability, RNA levels of the BBB master regulator <em>moody</em> are modulated by sleep. Conversely, altering BBB permeability alone through glia-specific modulation of <em>moody, gαo, loco, lachesin</em>, or <em>neuroglian</em> – each a well-studied regulator of BBB function – was sufficient to induce robust sleep phenotypes. These studies demonstrate a tight link between BBB permeability and sleep and indicate a novel role for the BBB in the regulation of sleep. </span></p>
Phenotyping Interstitial Cystitis/Bladder Pain Syndrome (IC/BPS) by Intravesical Contrast Enhanced - Magnetic Resonance Imaging (ICE-MRI) Bladder Permeability Assay
ClinicalTrials.gov study NCT05811377. IPD Sharing: NO. Countries: 1. Publications: 2.
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Allen Brain Atlas
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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.