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1,456 results for “residues”
Gastric Residual Volume, Safety and Effectiveness of Drinking 250ml Glucose Solution 2-3 Hours before Surgery in Gastric Cancer Patients: A Multicenter, Single-blind, Randomized Controlled Trial
<p><strong>Supplementary Figure 1</strong></p> <p> </p> <p>A. Change of QUICKI level after surgery</p> <p>Post-OP: right after operation; POD: post-operation day; Mixed linear model statistics showed that the effect of time ( p=0.004) was significant, but no significant differences were noted for group(P=0.600) or group*time(P=0.963).</p> <p>B. Change of Recovery Level of QUICKI after surgery</p> <p>Post-OP: right after operation; POD: post-operation day; Mixed linear model statistics showed that no significant differences were noted for group(P=0.600) ,time (P=0.235) or group×time(P=0.963).</p> <p>C. Change of WBC level after surgery</p> <p>Post-OP: right after operation; POD: post-operation day; Mixed linear model statistics showed that the effect of time ( p<0.001) was significant, and no significant differences were noted for group(P=0.392) or group×time(P=0.314).</p> <p>D. Change of CRP level after surgery</p> <p>Post-OP: right after operation; POD: post-operation day; Mixed linear model statistics showed that the effect of time ( p<0.001) was significant, but no significant differences were noted for group(P=0.312) or group × time(P=0.826).</p>
Turbulent flux measurements of the near-surface and residual-layer small particle events
<p>According to recent field studies, almost half of the New Particle Formation (NPF) events occur aloft, in a residual layer, near the top of the boundary layer. Therefore, measurements of the meteorological parameters, precursor gas concentrations, and aerosol loadings conducted at the ground level are often not representative of the conditions where the NPFs take place. This paper presents new measurements obtained during the Turbulent Flux Measurements of the Residual Layer Nucleation Particles, conducted at the Southern Great Plains research site. Vertical turbulent fluxes of 3–10 nm-sized particles were measured using a sonic anemometer and two condensation particle counters with nominal cutoff diameters of 3 nm and10 nm mounted at the top of the 10-m telescoping tower. Aerosol number size distribution (5 to 300 nm) was determined through the ground-based Scanning Mobility Particle Sizers. The size selected (15 to 50 nm) particle hygroscopicity was derived with the Humidified Tandem Differential Mobility Analyzer. The ground-level observations were supplemented by vertically-resolved measurements of horizontal and vertical wind speed and aerosol backscatter. The data analysis suggests that 1) turbulent flux measurements of 3-10 nm particles can distinguish between near-surface and residual-layer small particle events; 2) sub-50 nm particles had a hygroscopicity value of 0.2, suggesting that organic compounds dominate atmospheric nanoparticle chemical composition at the site; and 3) current methodologies are inadequate for estimating dry deposition velocity of sub-10 nm particles because it is not feasible to measure particle concentration very near the surface, in the diffusion sublayer.</p>
Effect of freshwater discharge from estuary dam on residual circulation in bifurcated channel
<p>Zip-files contain matlab m-files and raw data of transects data in Yeoungsan Rver estuary. The code was designed to analysis the changes from the raw data.</p> <p>During freshwater discharge.zip file contains data set with a freshwater impact from a estuary dam,</p> <p>Whereas during non-freshwater discharge.zip file contains data set without a freshwater impacts period.</p> <p> </p> <p> </p>
Retrospective cumulative dietary risk assessment of craniofacial alterations by residues of pesticides
<p>EFSA established cumulative assessment groups and conducted retrospective cumulative risk<br> assessments for two types of craniofacial alterations (alterations due to abnormal skeletal<br> development, head soft tissue alterations and brain neural tube defects) for 14 European populations<br> of women in childbearing age. Cumulative acute exposure calculations were performed by probabilistic<br> modelling using monitoring data collected by Member States in 2017, 2018 and 2019. A rigorous<br> uncertainty analysis was performed using expert knowledge elicitation. Considering all sources of<br> uncertainty, their dependencies and differences between populations, it was concluded with varying<br> degrees of certainty that the MOET resulting from cumulative exposure is above 100 for the two types<br> of craniofacial alterations. The threshold for regulatory consideration established by risk managers is<br> therefore not exceeded. Considering the severity of the effects under consideration, it was also<br> assessed whether the MOET is above 500. This was the case with varying levels of certainty for the<br> head soft tissue alterations and brain neural tube defects. However, for the alterations due to<br> abnormal skeletal development, it was found about as likely as not that the MOET is above 500 in<br> most populations. For two populations, it was even found more likely that the MOET is below 500.<br> These results were discussed in the light of the conservatism of the methodological approach.</p> <p>The indicators of craniofacial alterations, input and output data for the exposure assessment are reported in the following annexes:</p> <p>• Annex A – Indicators of craniofacial alterations collected for 85 selected active substances;<br> • Annex B1 – Input data for the exposure assessment of CAG-DACL;<br> • Annex B2 – Input data for the exposure assessment of CAG-DAH;<br> • Annex C1 – Output data for the Tier I exposure assessment of CAG-DAC;<br> • Annex C2 – Output data for the Tier I exposure assessment of CAG-DAH;<br> • Annex D1 – Output data for the Tier II exposure assessment of CAG-DAC;<br> • Annex D2 – Output data for the Tier II exposure assessment of CAG-DAH.</p>
Comparison of allosteric signaling in DnaK and BiP using mutual information between simulated residue conformations
<p>Molecular Dynamics trajectories of the Hsp70 chaperones DnaK and BiP. System configurations include DnaK or BiP bound to ATP, ATP exchanged to ADP, or the NRLLLTG peptide.</p>
APPENDIX D of the 2022 EU Report on Pesticide Residues
<p>Detailed information on the different control programmes, full list of samples exceeding the MRLs anonymised by sample code, analytical scope from the official laboratories reporting to EFSA data on pesticide residues, the HBGV and PF used in the risk assessment.</p> <p><br>Detailed information on deterministic and probabilistic risk assessment results.</p>
Microdata on vector abundance and IRS quality assurance (Estimating the impact of indoor residual spraying on sandfly abundance and incidence of visceral leishmaniasis in India from 2016 to 2022: an interrupted time-series analysis and modelling study)
<p>This repository contains the microdata on vector abundance and quality assurance of indoor residual spraying (IRS) that was used to estimate the impact of IRS on sandfly abundance and incidence of visceral leishmaniasis (VL) in India, as described in the paper "Estimating the impact of indoor residual spraying on sandfly abundance and incidence of visceral leishmaniasis in India from 2016 to 2022: an interrupted time-series analysis and modelling study" by Coffeng et al (<a href="https://doi.org/10.1016/S1473-3099(24)00420-1">https://doi.org/10.1016/S1473-3099(24)00420-1</a>). These data were collected as part of a BMGF-funded project led by dr. Michael Coleman at the Liverpool School for Tropical Medicine, as described in an earlier paper by Deb et al (<a href="https://doi.org/10.1371/journal.pntd.0009101">https://doi.org/10.1371/journal.pntd.0009101</a>).</p> <p>This repository does not include microdata on VL cases as these are owned by India's National Center for Vector Borne Disease Control (NCVBDC, <a href="https://ncvbdc.mohfw.gov.in/" target="_blank" rel="nofollow noreferrer noopener">https://ncvbdc.mohfw.gov.in/</a>).</p>
Datasets containing velocity gradients and their residual vorticity magnitude.
<p>This repository contains 4 datasets:</p> <p> </p> <ol> <li>validation dataset</li> <li>100k entry testing dataset</li> <li>non-sampled training dataset</li> <li>training dataset consisting of 2 part which will be used for training over sampled data </li> </ol>
Elasto-plastic residual stress analysis of selective laser sintered porous materials based on 3D-multilayer thermo-structural phase-field simulations
<p>The supporting data and utilities from the publication "Elasto-plastic residual stress analysis of selective laser sintered porous materials based on 3D-multilayer thermo-structural phase-field simulations" are recorded in this dataset. </p> <p>Non-isothermal phase-field simulations of SLS process on SS316L material and subsequent elasto-plastic calculations were performed to analyze the development of plastic deformation and residual stress in SLS produced components during the processing. The dependence of the fusion zone, residual stress and plastic strain on the processing parameters namely, Beam power (Unit: Watts) and Scan speed (Unit: mm/s) were investigated. </p> <p>To promote FAIR research data principles, the processed simulation data from the thermo-elasto-plastic calculations for all the process parameter sets (hereby refered as P-v sets) are curated in this dataset. The raw temporal data obtained from the processing simulations and the elasto-plastic could not be included in this dataset due to its high volume. However, the corresponding raw data can be requested by contacting the creators of this dataset (Yangyiwei Yang: <a href="mailto:yangyiwei.yang@mfm.tu-darmstadt.de">yangyiwei.yang@mfm.tu-darmstadt.de</a> and Somnath Bharech: <a href="mailto:somnath.bharech@tu-darmstadt.de">somnath.bharech@tu-darmstadt.de</a>).</p> <p>This dataset includes: </p> <ul> <li><code>average_value.csv</code>: Contains average values of mechanical properties (such as residual stress, plastic strain) for the powder bed and the fused strut of all the process parameter sets.</li> <li><code>mesostructures_tep_sls.zip</code> : Contains resampled mesostructures obtained at the last time step of the SLS processing simulations with thermo-elasto-plastic calculations for the P-v sets reported in the aforementioned investigation. Nomenclature of the sub-directories indicating the P-v sets follows: <code>tep_<beam power>-<scan speed></code>. Each of these sub-directories contain the mesostructures from last time step of the thermo-elasto-plastic analysis of each of the four layer scans and is named as: <code>TP_layer{1..4}_output_final.e</code>. These files can be opened using Paraview v.5.8.1 or higher. The nodal values are explained as follows:</li> </ul> <table> <tbody> <tr> <td><strong>Nodal value name</strong></td> <td><strong>Symbol</strong></td> <td><strong>Description</strong></td> <td><strong>Unit</strong></td> </tr> <tr> <td>T</td> <td>\(T\)</td> <td>Temperature field normalized by \(T_M\)</td> <td>-</td> </tr> <tr> <td>c</td> <td>\(\rho\)</td> <td>Substance order parameter</td> <td>-</td> </tr> <tr> <td>eps_ij </td> <td>\(\varepsilon\)</td> <td>Strain</td> <td>-</td> </tr> <tr> <td>epsp_ij</td> <td>\(\varepsilon^\text{pl}\)</td> <td>Plastic strain</td> <td>-</td> </tr> <tr> <td>peeq</td> <td>\(p_\text{e}\)</td> <td>Accumulated plastic strain</td> <td>-</td> </tr> <tr> <td>sigma_ij </td> <td>\(\sigma\)</td> <td>Stress</td> <td>MPa</td> </tr> <tr> <td>vonmises</td> <td>\(\sigma_\text{e}\)</td> <td>von Mises stress </td> <td>MPa</td> </tr> <tr> <td>u</td> <td>\(\mathbf{u}\)</td> <td>Displacement</td> <td>µm</td> </tr> </tbody> </table> <p> </p>
Fig. 4 in Efficacy of Actellic 300 CS-based indoor residual spraying on key entomological indicators of malaria transmission in Alibori and Donga, two regions of northern Benin
Fig. 4 Parity rate of Anopheles gambiae (s.l.) collected in treated and control areas
Energy-Dependent, Self-Adaptive Mesh h(p)-Refinement of a Constraint-Based Continuous Bubnov-Galerkin Isogeometric Analysis Spatial Discretisation of the Self-Adjoint Angular Flux Form of the Multi-Group Neutron Transport Equation with Dual-Weighted Residual Error Measures
<p>This repository holds all of the raw data generated by my (Modern) Fortran code for a paper "Energy-Dependent, Self-Adaptive Mesh h(p)-Refinement of a Constraint-Based Continuous Bubnov-Galerkin Isogeometric Analysis Spatial Discretisation of the Self-Adjoint Angular Flux Form of the Multi-Group Neutron Transport Equation with Dual-Weighted Residual Error Measures".</p> <p>The (Modern) Fortran code solves the SAAF form of the multi-group neutron transport equation using novel NURBS-based, IGA spatial discretisations.</p>
Figure 2 in Detection of enteropathogens and research of pesticide residues in Lactuca sativa from traditional and agroecological fairs
Figure 2. Difenoconazole calibration curve.
Research data supporting "Residue-Specific Solvation Directed Thermodynamic and Kinetic Control over Peptide Self-Assembly with 1D/2D Structure Selection"
<p>Experimental research raw data supporting the publication by Lin, Y. et al, 2019, "Residue-Specific Solvation Directed Thermodynamic and Kinetic Control over Peptide Self-Assembly with 1D/2D Structure Selection", ACS Nano. DOI: 10.1021/acsnano.8b08117.</p> <p>Molecular simulation data is available upon reasonable request from irene.yarovsky@rmit.edu.au.</p>
Analysis files for MSC Marc finite element software, Article: The analysis of shrink-fit connection – the methods of heating and the factors influencing the distribution of residual stresses
<p>This archive contains model files for Finite Element Analysis of the shrink-fit connection in crankshaft and the files for charts in GNUPlot.</p>
Simulated corn yield, drainage nitrate load and residual soil nitrate as affected by weather, management and soil-state at seven long-term US Midwest research sites
<p>This data set is the product of a factorial simulation experiment designed to quantify the impact of five environmental factors and five management practices on NO<sub>3</sub> leaching and yield in corn cropping systems. The simulation model used was the Agricultural Production Systems SImulator (APSIM; <a href="https://www.apsim.info/">https://www.apsim.info/</a>). Description of the simulation factors are provided in the metadata.txt file. </p> <p> </p> <p> </p>
Supplemental Material to Article "Development of thermal residual stresses during manufacture of wind turbine blades"
<p>This set supplements the figure data to the article "Development of thermal residual stresses during manufacture of wind turbine blades", DOI: .</p>
FIGURE 3 in Late Paleocene examples of residual coloration and embryonic features in juvenile marine mollusks from Northwest Louisiana
FIGURE 3 caption next page.
LUH GRACE(-FO) K-band range-rate post-fit residuals
<p>This dataset contains GRACE (Gravity Recovery and Climate Experiment) and GRACE Follow-On K-band range-rate post-fit residuals obtained as part of the gravity field recovery at LUH (Leibniz University Hannover). Data covers the period: 2002/04 - 2023/09.</p>
Gating residues govern ligand-unbinding kinetics from the buried cavity in HIF2a PAS-B
<p>Representative Pathways for each pathway class for HIF-2a PAS-B unbinding. Trajectories are with water.</p>
Table 7 in Efficacy of Actellic 300 CS-based indoor residual spraying on key entomological indicators of malaria transmission in Alibori and Donga, two regions of northern Benin
<p><b>Table 7</b> Indoor density of <i>An. gambiae</i> (<i>s.l</i>.) in IRS and control areas</p><table><tbody><tr><th>Period</th><th>Area</th><th>No. of rooms</th><th>No. collected</th><th>Density/room</th><th><i>P</i> -value</th></tr></tbody><tbody><tr><th>Before IRS (June–October 2016)</th><td>Baseline</td><td>610</td><td>1001</td><td>1.64</td><td><0.0001</td></tr><tr><th>After 1st round of IRS (June–October 2017)</th><td>After IRS areas</td><td>673</td><td>273</td><td>0.41</td><td></td></tr><tr><th>After 1st round of IRS (June–September 2017)</th><td>After IRS areas</td><td>551</td><td>208</td><td>0.38</td><td><0.0001</td></tr><tr><th></th><td>Control areas</td><td>160</td><td>244</td><td>1.53</td><td></td></tr><tr><th>After 2nd round of IRS (June–August 2018)</th><td>After IRS areas</td><td>242</td><td>117</td><td>0.48</td><td><0.0001</td></tr><tr><th></th><td>Control areas</td><td>88</td><td>155</td><td>1.76</td><td></td></tr></tbody></table>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.