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33,754 results for “Enhancers”
Methane and carbon dioxide cumulative amounts data for: Algal amendment enhances biogenic methane production from coals of different thermal maturity
<p>The addition of small amounts of algal biomass to stimulate methane production in coal seams is a promising low carbon renewable coalbed methane enhancement technique. However, little is known about how the addition of algal biomass amendment affects methane production from coals of different thermal maturity. Here, we show that biogenic methane can be produced from five coals ranging in rank from lignite to low-volatile bituminous using a coal-derived microbial consortium in batch microcosms with and without algal amendment. The addition of 0.1 g/L algal biomass resulted in maximum methane production rates up to 37 days earlier and decreased the time required to reach maximum methane production by 17–19 days when compared to unamended, analogous microcosms. Cumulative methane production and methane production rate were generally highest in low rank, subbituminous coals, but no clear association between increasing vitrinite reflectance and decreasing methane production could be determined. Microbial community analysis revealed that archaeal populations were correlated with methane production rate (p=0.01), vitrinite reflectance (p=0.03), percent volatile matter (p=0.03), and fixed carbon (p=0.02), all of which are related to coal rank and composition. Sequences indicative of the acetoclastic methanogenic genus <em>Methanosaeta</em> dominated low rank coal microcosms. Amended treatments that had increased methane production relative to unamended analogs had high relative abundances of the hydrogenotrophic methanogenic genus <em>Methanobacterium</em> and the bacterial family Pseudomonadaceae. These results suggest that algal amendment may shift coal-derived microbial communities towards coal-degrading bacteria and CO<sub>2</sub>-reducing methanogens. These results have broad implications for understanding subsurface carbon cycling in coal beds and the adoption of low carbon renewable microbially enhanced coalbed methane techniques across a diverse range of coal geology.</p>
Figure 7 in Supported ionic liquid phase facilitated catalysis with lipase from Aspergillus oryzae for enhance enantiomeric resolution of racemic ibuprofen - NCN project OPUS, grant no. 2020/37/B/ST8/00693.
<p>Figure 7. presents the scheme of ionic liquid immobilization on the silica surface. The file relates to the composite material manufactured for the NCN project OPUS, grant no. 2020/37/B/ST8/00693.</p>
Data from: Cadaveric emergency cricothyrotomy training for non-surgeons using a bronchoscopy-enhanced curriculum
<p>Emergency cricothyrotomy training for non-surgeons providing critical care is important as rare "cannot intubate or oxygenate events" may occur multiple times in a provider's career when surgical expertise is not immediately available. However, such training is highly variable and often infrequent so enhancing these experiences is important.</p> <p>Our study was performed after implementing a program to train non-surgeon providers on cadaveric donors. Standard training with an instructional video and live coaching was enhanced by bronchoscopic visualization of the trachea allowing participants to review their technique after performing scalpel and Seldinger-technique procedures, and to review their colleagues' technique on live video. Feasibility was measured through assessing helpfulness for trainees, cost, setup time, quality of images, and operator needs. Footage from the bronchoscopy recordings was analyzed to assess puncture-to-tube time and errors. Participants submitted pre- and post-session surveys assessing their levels of experience and gauging their confidence and anxiety with cricothyrotomies.</p> <p>We found our training program met feasibility criteria for low costs, setup time, and operator needs. Furthermore, all 24 participants rated the cadaveric session as helpful and demonstrated efficient technique by puncture-to-tube times. Bronchoscopy videos revealed that sharp instrument puncturing of the posterior tracheal wall was common and that improper tube placement occurred but was uncommon. Bronchoscopic enhancement was rated as quite or extremely helpful for visualizing the trachea and to assess depth of instrumentation. There was a significant increase in confidence and decrease in performance anxiety after the session.</p> <p>Our findings confirm that supplementing cadaveric emergent cricothyrotomy training programs with tracheal bronchoscopy is feasible, helpful to trainees, meets prior documented times for efficient technique, and detects technical errors that would have been missed in a standard training program. Bronchoscopic enhancement is a valuable addition to cricothyrotomy cadaveric training programs and may help avoid real-life complications.</p>
dataset for "GPU-enhanced DEM analysis of flow behaviour of irregularly shaped particles in a full-scale twin screw granulator"
<p>This dataset contains the numerical simulation data describing the conveying behaviour of shaped-particle systems. Detailed study on the conveying behaviour is presented in a journal paper entitled "GPU-enhanced DEM analysis of flow behaviour of irregularly shaped particles in a full-scale twin screw granulator". We provide all the essential data in a single excel file with the description below:</p> <p>Dataset 1- Average particle speed (Fig. 7a) and XYZ components (Fig. 7b) for: Sphere at t = 2.1 s, Cube at t = 2.85 s, Biluna at t = 3.1 s, HexP at t = 3.45 s. (Data of Fig. 7)</p> <p>Dataset 2 - XYZ coordinates of a typical particle trapped in the granulator. (Data of Fig. 9)</p> <p>Dataset 3 - Particle retention numbers for different shaped particles. (Data of Fig. 10).</p> <p>Dataset 4 - Average particle speeds for different shaped particles. (Data of Fig. 11).</p> <p>Dataset 5 - Average axial particle speeds for different shaped particles (Data of Fig. 12).</p> <p>Dataset 6 - Residence time distributions for various shaped particles. (Data of Fig. 13)</p> <p>Dataset 7 - Normalised residence time distributions for various shaped particles. (Data of Fig. 14)</p> <p>Dataset 8 - Mean residence time for various shaped particles. (Data of Fig. 15)</p> <p>Dataset 9 - The variance of RTD for different shaped particles. (Data of Fig. 16)</p> <p>Dataset 10 - Cumulative exit age distribution for various shaped particles. (Data of Fig. 17)</p> <p>Dataset 11 - Normalised cumulative exit age distribution for various shaped particles. (Data of Fig. 18)</p> <p>Dataset 12 - Evolution of the cumulative power consumption for various shaped particles. (Data of Fig.19)</p> <p>Dataset 13 - Power consumption distribution for various shaped particles. (Data of Fig.20)</p>
Data from "Enhanced radiative forcing from aerosol-cloud interactions due to large-scale circulation adjustments" by Guy Dagan, Netta Yeheskel and Andrew I. L. Williams.
<p>This is the data presented in "Enhanced radiative forcing from aerosol-cloud interactions due to large-scale circulation adjustments" by Guy Dagan, Netta Yeheskel and Andrew I. L. Williams.</p> <p> </p> <p>Please read the README file for explanations about the data.</p> <p> </p>
Enhanced methane emissions driven by glacial retreat in the high Arctic
<p>Methane concentration data of proglacial groundwater springs supporting the publication 'Enhanced methane emissions driven by glacial retreat in the high Arctic.' The data also includes icing depth and area measurements. In addition, we include fjord surface methane concentrations adjacent to marine-terminating glaciers.</p>
Figure data for paper "The first ground level enhancement seen on three planetary surfaces: Earth, Moon and Mars"
<p>Here we provide the data used for generating Figures 1-4 as published in the paper "The first ground level enhancement seen on three planetary surfaces: Earth, Moon and Mars" </p>
Supplementary Online Content to "Alterity marking and enhancing accessibility in lexical borrowing: Meta-information techniques in the use of incipient anglicisms in French and Italian"
<ul> <li>Overview of newspaper articles analysed in Sections 4 and 5</li> <li>Sources of the newspaper articles</li> <li>Sample analyses of the use of meta-information techniques in F2 and I3</li> </ul>
Cloudnet products and VOODOO enhancements for a case study of multilayer mixed-phase cloud in Punta Arena Chile
<p>This data set contains the Cloudnet and VOODOO enhanced products from observations during the the long-term ground-based remote-sensing field experiment Dynamics, Aerosol, Cloud and Precipitation Observations in the Pristine Environment of the Southern Ocean (DACAPO-PESO) in Punta Arenas, Chile.<em> </em></p>
Pairing enhanced by local orbital fluctuations in a model for monolayer FeSe
<p>Title : Piring enhanced by local orbital fluctuations in a model for monolayer FeSe</p> <p>Authors: Changming Yue * and Philipp Werner †</p> <p>Department of Physics, University of Fribourg, 1700 Fribourg, Switzerland</p> <p>Abstract: The pairing mechanism in different classes of correlated materials, including iron-based superconductors, is still under debate. For FeSe monolayers, uniform nematic fluctuations have been shown in a lattice Monte Carlo study to play a potentially important role. Here, using dynamical mean-field theory calculations for the same model system, we obtain a similar phase diagram and provide an alternative interpretation of the superconductivity in terms of local orbital fluctuations and phase rigidity. Our study clarifies the relation between the superconducting order parameter, superfluid stiffness, and orbital fluctuations, and provides a link between the spin/orbital freezing theory of unconventional superconductivity and theoretical works considering the role of nematic fluctuations.</p> <p> </p> <p>Link: https://journals.aps.org/prb/abstract/10.1103/PhysRevB.104.184507</p> <p>PHYSICAL REVIEW B 104, 184507 (2021)</p> <p> </p> <p><strong>ACKNOWLEDGMENTS</strong></p> <p>The calculations were performed on the Beo05 cluster at the University of Fribourg, using a code based on iQIST. We acknowledge support from SNSF Grant No. 200021-196966. </p>
Detection of Silver Nanoparticles in Seawater Using Surface-Enhanced Raman Scattering
<p>Nanomaterials significantly contribute to the development of new solutions to improve consumer products properties. Silver nanoparticles (AgNPs) are one of the most used, and as human exposure to such NPs increases, there is a growing need for analytical methods to identify and quantify nanoparticles present in the environment. Here we designed a detection strategy for AgNPs in seawater using surface-enhanced Raman Scattering (SERS). Three commercial AgNPs coated with polyvinylpyrrolidone (PVP) were used to determine the relative impact of size (PVP-15nmAgNPs and PVP-100nmAgNPs) and aggregation degree (predefined Ag aggregates, PVP-50–80nmAgNPs) on the SERS-based detection method. The study of colloidal stability and dissolution of selected AgNPs into seawater was carried out by dynamic light scattering and UV-vis spectroscopy. We showed that PVP-15nmAgNPs and PVP-100nmAgNPs remained colloidally stable, while PVP-50–80nmAgNPs formed bigger aggregates. We demonstrated that the SERS-based method developed here have the capacity to detect and quantify single and aggregates of AgNPs in seawater. The size had almost no effect on the detection limit (2.15 ± 1.22 mg/L for PVP-15nmAgNPs vs. 1.51 ± 0.71 mg/L for PVP-100nmAgNPs), while aggregation caused an increase of 2.9-fold (6.08 ± 1.21 mg/L). Our results demonstrate the importance of understanding NPs transformation in seawater since this can influence the detection method performance.</p>
Research exceptions in copyright laws around the world in Legal reform to enhance global text and data mining research.
Research exceptions in copyright laws around the world
On-shelf nutrient trapping enhances the fertility of the southern Benguela upwelling system
<p>The data submitted here is published in the manuscript entitled "On-shelf nutrient trapping enhances fertility of the southern Benguela upwelling system". Our data show that regenerated nutrients get “trapped” on the shelf of the southern Benguela upwelling system (SBUS), increasing the on-shelf nutrient pool available for upwelling. Nutrient trapping occurs when phytoplankton consume upwelled nutrients, sequestering them in their biomass, then sink and are decomposed on the shallow continental shelf, releasing nutrients to bottom waters. The nutrient-deplete surface waters subsequently flow offshore. SBUS nutrient trapping appears to be assisted by hydrographic fronts that limit the offshore transport of phytoplankton, such that their sinking and subsequent decomposition occurs on-shelf. Decomposition consumes oxygen, which means that enhanced nutrient trapping may increase oxygen depletion in the SBUS, with ecosystem-wide deleterious effects.</p> <p> </p>
Sharing data and code supporting the article entitled "Thermodynamically enhanced precipitation extremes due to counterbalancing influences of anthropogenic greenhouse gases and aerosols"
<p>The public data repository contains the data and plotting code supporting the article entitled "Thermodynamically enhanced precipitation extremes due to counterbalancing influences of anthropogenic greenhouse gases and aerosols". The dataset includes annual maximum one-day precipitation (Rx1day), its proxy computed by a physical scaling diagnostic (scaling), and the decomposed components of the scaling (i.e., thermodynamic response, dynamic response, and their interaction). Several reanalyses (including ERA5 and JRA55) and CMIP6 simulations under several scenarios (including ALL, GHG, AER, and piControl) are applied to compute the historical Rx1day, scaling, and the associated components following a GitHub Python repository (<a href="https://github.com/oliverangelil/precip_extremes_scaling">https://github.com/oliverangelil/precip_extremes_scaling</a>). Note that the decomposed components are calculated as anomalies. </p> <p>The data results of the extreme precipitation decomposition in the NetCDF format are available in zip files “<em><strong>ERA5</strong></em>”, "<em><strong>JRA55</strong></em>", "<em><strong>ALL</strong></em>", "<em><strong>GHG</strong></em>", "<em><strong>AER</strong></em>", "<em><strong>NAT</strong></em>", and "<em><strong>piControl</strong></em>". Code for visualizations is available in the "<em><strong>Jupyter Notebooks</strong></em>" zip file.</p>
Long-term nitrogen deposition inhibits soil priming effects by enhancing phosphorus limitation in a subtropical forest
<p class="MsoNormal"><span>It is widely accepted that phosphorus (P) limits microbial metabolic processes and thus soil organic carbon (SOC) decomposition in tropical forests.</span><span> Global change factors like elevated atmospheric nitrogen (N) deposition can enhance P limitation, raising concerns about the fate of SOC. However, how elevated N deposition affects the soil priming effect (PE) (<em>i</em>.<em>e</em>., fresh C inputs induced changes in SOC decomposition) in tropical forests remains unclear. We incubated soils exposed to nine years of experimental N deposition in a subtropical evergreen broadleaved forest with two types of <sup>13</sup>C-labeled substrates of contrasting bioavailability (glucose and cellulose) with and without P amendments. We found that N deposition decreased soil total P and microbial biomass P, suggesting enhanced P limitation. In P unamended soils, N deposition significantly inhibited the PE. In contrast, adding P significantly increased the PE under N deposition and by a larger extent for the PE of cellulose (PE<sub>cellu</sub>) than the PE of glucose (PE<sub>glu</sub>). Relative to adding glucose or cellulose solely, adding P with glucose alleviated the suppression of soil microbial biomass and C-acquiring enzymes induced by N deposition, whereas adding P with cellulose attenuated the stimulation of acid phosphatase induced by N deposition. Across treatments, the PE<sub>glu</sub> increased as C-acquiring enzyme activity increased, whereas the PE<sub>cellu</sub> increased as acid phosphatase activity decreased. This suggests that P limitation, enhanced by N deposition, inhibits the soil PE through varying mechanisms depending on substrate bioavailability; that is, P limitation regulates the PE<sub>glu</sub> by affecting soil microbial growth and investment in C acquisition, whereas regulates the PE<sub>cellu</sub> by affecting microbial investment in P acquisition. These findings provide new insights for tropical forests impacted by N loading, suggesting that expected changes in C quality and P limitation can affect the long-term regulation of the soil PE.</span></p>
AccessFixer: Enhancing GUI Accessibility for Low Vision Users with R-GCN model
<p>Here is the relevant dataset and open-source code for the article titled "AccessFixer: Enhancing GUI Accessibility for Low Vision Users with RGCN-based Method"</p> <p><strong>Introduction</strong></p> <p>In this work, we designed and implemented a tool, named <strong>AccessFixer</strong>, capable of fixing GUI accessibility issues in terms of small size, narrow interval, and low color contrast. It can ensure the consistency of GUI visual effects in the repair process, and will not produce inconsistent components.</p> <p><strong>Functions</strong></p> <ol> <li><strong>Convert the GUIs screenshots to GUI-graphs. </strong>AccessFixer converts the GUIs into their corresponding GUI-graphs by parsing the XML file (in Graph_Presentation()), and meanwhile, our tool could remove all edges that connected the problematic nodes detected by Google Accessibility Scanner.</li> <li><strong>Pre-trained model based on Relational-Graph Convolutional Neural Network (R-GCN). </strong>Along with Capture_Signal(model), users can obtain the spectral signals of predicted links. Encoder and Decoder are responsible for generating new edges and scoring edges.</li> <li><strong>AccessFixer</strong> builds a mapping relationship between signal values and attribute values of GUI components in Attribute_Mapp(). Based on this mapping, it is possible to input a GUI to be repaired and generate repair strategies for its various components.</li> </ol> <p><strong>Environment</strong></p> <p>This tool can be run on an Android emulator based on Android 11.0 on a typical development machine, using Windows 11 with 2.4GHz core i7 CPU and 16 GB memory. The pre-trained RGCN model is run in PyCharm 4.5.4 with the packages of tensorflow, GraphConvolution, pandas, time, numpy, argparse, optimization, Parameter, and Module.</p> <p><strong>Installation</strong></p> <ol> <li>Using pip install package-name to install the required packages.</li> <li>Configure GCN model training in the same directory.</li> <li>Click the run button in PyCharm or use the command run-train.sh [configuration]</li> </ol> <p><strong>Frequently Asked Questions</strong></p> <ol> <li>Unable to install packages using pip</li> </ol> <p>Answer: It could be the version of the pip install command. Detailed solution could be found in https://stackoverflow.com/questions/17869101/unable-to-install-pygame-using-pip/74229901#74229901</p> <ol> <li>Some GUIs fail to build GUI-graphs</li> </ol> <p>Answer: To create GII-graphs, the user is required to provide the GUI screenshot and the layout file parsed by UIAutomator.</p> <p><strong>Contact Information</strong></p> <p>If you have any questions about this tool, you can contact the author of this work at <a href="mailto:zmxalakay@126.com">zmxalakay@126.com</a></p> <p><strong>Copyright</strong></p> <p>All copyright of the tool is owned by the author of the paper.</p> <p> </p>
Data from: Neural correlates of multisensory enhancement in audiovisual narrative speech perception: a fMRI investigation
<p>This fMRI study investigated the effect of seeing articulatory movements of a speaker while listening to a naturalistic narrative stimulus. It had the goal to identify regions of the language network showing multisensory enhancement under synchronous audiovisual conditions. We expected this enhancement to emerge in regions known to underlie the integration of auditory and visual information such as the posterior superior temporal gyrus as well as parts of the broader language network, including the semantic system. To this end we presented 53 participants with a continuous narration of a story in auditory alone, visual alone, and both synchronous and asynchronous audiovisual speech conditions while recording brain activity using BOLD fMRI. We found multisensory enhancement in an extensive network of regions underlying multisensory integration and parts of the semantic network as well as extralinguistic regions not usually associated with multisensory integration, namely the primary visual cortex and the bilateral amygdala. Analysis also revealed involvement of thalamic brain regions along the visual and auditory pathways more commonly associated with early sensory processing. We conclude that under natural listening conditions, multisensory enhancement not only involves sites of multisensory integration but many regions of the wider semantic network and includes regions associated with extralinguistic sensory, perceptual and cognitive processing.</p>
Increasing Bridge Durability and Service Life with LIDAR Enhanced Unmanned Aerial Systems (UAS)
<p>Bridge construction inspections require quantitative measurements and location information. The conventional approach is visual inspection, which in general, is rather time-consuming, expensive due to traffic closure, subjective, and needs special access. Therefore an automated rebar layout detection algorithm was developed to quickly extract quantitative rebar layout information from the LiDAR data. This systematic method can automatically cluster the bridge elements from a 3D point cloud by using LiDAR-equipped UAS data collection and unsupervised machine learning techniques. A new automated inspection system using a LIDAR-equipped UAS can eventually if developed and tested be more reliable as well as less expensive. In the future, if it can be automatized, it can be implemented to simplify the complexity of inspections. The authors developed a platform to mount the camera, sonar laser, and DAQ on the UAS and remotely controlled the data collection operation. Additionally, an algorithm was developed which can automatically obtain the geometric information of the rebar. The proposed automated RGBD-equipped UAS system was developed, fabricated, and tested in the Balloon Fiesta Park on a simulated bridge deck at different heights and with different UAS motions to obtain the best distance, speed, and motion for real construction field. The authors also conducted an outdoor experiment in a construction field at White Rock to validate the capability of the proposed system on the real site with vertical rebar and the challenges of the real construction site. The result confirmed that the LIDAR-equipped UAS system has the potential to help the inspection process in terms of time, accuracy, safety, and generating a permanent record of the inspection. Bridge construction information collected by LiDAR-equipped UAS technology can eventually provide bridge managers with transparent condition assessment and one-step decision-making support through quantitative measurement combined with 3D visualization to facilitate repair planning that can greatly facilitate maintenance.</p>
56th CIRP Conference on Manufacturing Systems, CIRP CMS '23, South Africa - Enhancing SLM Stainless Steel: Model-Based Parameter Optimization
<p> SLM (selective laser melting) has faced challenges in ensuring consistent mechanical properties for various geometries in the past. However, the authors have developed a system that solves this issue by calculating the optimal process parameters for each scan vector on each layer. This approach ensures consistent melt pool geometry, derived from the most robust in conduction welding mode. The results from the single melt-line experiments and the presented thermal conduction solver demonstrate the effectiveness of this approach in achieving a stable melt pool geometry in stainless steel (1.4404 or 316L). Furthermore, a rigorous testing regimen has been implemented to evaluate the system under different changing boundary conditions, to further demonstrate its usefulness. By utilizing this system, manufacturers will achieve consistent and high-quality mechanical properties for small lot sizes, including spare and obsolescent parts.</p>
Data for: Early radial positional information in the cochlea is optimized by a precise linear BMP gradient and enhanced by SOX2
<p>Positional information encoded in signaling molecules is essential for early patterning in the prosensory domain of the developing cochlea. The sensory epithelium, the organ of Corti, contains an exquisite repeating pattern of hair cells and supporting cells. This requires precision in the morphogen signals that set the initial radial compartment boundaries, but this has not been investigated. To measure gradient formation and morphogenetic precision in developing cochlea, we developed a quantitative image analysis procedure measuring SOX2 and pSMAD1/5/9 profiles in mouse embryos at embryonic day (E)12.5, E13.5, and E14.5. Intriguingly, we found that the pSMAD1/5/9 profile forms a linear gradient up to the medial ~75% of the PSD from the pSMAD1/5/9 peak in the lateral edge during E12.5 and E13.5. This is a surprising activity readout for a diffusive BMP4 ligand secreted from a tightly constrained lateral region since morphogens typically form exponential or power-law gradient shapes. This is meaningful for gradient interpretation because while linear profiles offer the theoretically highest information content and distributed precision for patterning, a linear morphogen gradient has not yet been observed. Furthermore, this is unique to the cochlear epithelium as the pSMAD1/5/9 gradient is exponential in the surrounding mesenchyme. In addition to the information-optimized linear profile, we found that while pSMAD1/5/9 is stable during this timeframe, an accompanying gradient of SOX2 shifts dynamically. Last, through joint decoding maps of pSMAD1/5/9 and SOX2, we see that there is a high-fidelity mapping between signaling activity and position in the regions that will become Kölliker's organ and the organ of Corti. Mapping is ambiguous in the prosensory domain precursory to the outer sulcus. Altogether, this research provides new insights into the precision of early morphogenetic patterning cues in the radial cochlea prosensory domain.</p>
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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.