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513 results for “prone”
Living on the edge: Predicting invertebrate richness and rarity in disturbance-prone aquatic–terrestrial ecosystems
<p>1. Temporal fluctuations in water levels cause the spatial extent of wet and dry habitats to vary in aquatic–terrestrial riverine ecosystems, complicating their biomonitoring. As such, biomonitoring efforts may fail to characterise the species that inhabit such habitats, hampering assessments of their biodiversity and implementation of evidence-informed management strategies.</p> <p>2. Relationships between the dynamic characteristics of aquatic-terrestrial habitats and their communities are well known. Thus, habitat characteristics may enable estimation of faunal assemblage characteristics such as taxonomic richness, regardless of in-channel conditions.</p> <p>3. We investigated whether indicators summarising habitat survey data can predict two metrics representing terrestrial invertebrate assemblages (e.g. taxa richness) in two aquatic–terrestrial habitats: exposed riverine sediments and dry temporary streams. We also compared the performance of unimetric and multimetric habitat indicators in making predictions.</p> <p>4. In exposed riverine sediments, >88% of predictions were correlated with observed taxa richness and an index of conservation status. Values predicted by exposed riverine sediment samples were correlated with those observed in temporary stream channels with comparable riparian (i.e. largely agricultural) land use, but not those observed in channels with contrasting (i.e. more urban) land use.</p> <p>5. Unimetric habitat indicators performed similarly to more complex multimetric indicators, with each explaining ≤6% of the variability in taxa richness and the index of conservation status. The different spatial scales at which invertebrates respond to habitat conditions and at which indicators record habitat conditions, and a more comprehensive training dataset that incorporates a full range of habitat conditions (i.e. land use), may improve future predictions.</p> <p>6. We demonstrate that invertebrate assemblage characteristics can be predicted regardless of in-channel conditions. Agreement between exposed riverine sediment predictions and temporary stream observations suggests that these predictions are transferable among a range of aquatic–terrestrial habitat types, and could thus be widely applied to aid conservation of riverine biodiversity in dynamic aquatic–terrestrial ecosystems.</p>
Data from: Lipidome modulation by dietary omega-3 polyunsaturated fatty acid supplementation or selective soluble epoxide hydrolase inhibition suppresses rough LPS-accelerated glomerulonephritis in lupus-prone mice
<p>Lipopolysaccharide (LPS)-accelerated autoimmune glomerulonephritis (GN) in lupus-prone NZBWF1 mice is a preclinical model that is potentially applicable for investigating lipidome-modulating interventions. LPS can be expressed as one of two chemotypes: smooth LPS (S-LPS) and rough LPS (R-LPS) which is devoid of O-antigen polysaccharide sidechain. Since these chemotypes differentially affect TLR4-mediated immune cell responses, these differences may influence GN induction. Therefore, we initially compared the effects of subchronic i.p. injection for 5 wk with 1) <em>Salmonella</em> S-LPS, 2) <em>Salmonella</em> R-LPS, or 3) saline vehicle (VEH) (Study 1) in female NZBWF1 mice. R-LPS induced robust elevations in blood urea nitrogen, proteinuria, and hematuria that were not evident in VEH- or S-LPS-treated mice. Histopathologic examination of R-LPS-treated mice one week after final injection further revealed more robust hypertrophy, hyperplasia, thickened membranes, lymphocytic accumulation containing B and T cells, and glomerular IgG deposition consistent with GN but not in VEH- or S-LPS-treated groups. R-LPS but not S-LPS induced spleen enlargement with lymphoid hyperplasia as well as modest inflammatory cell recruitment in the liver. We next employed our optimized R-LPS model to discern the impact of two lipidome-modulating interventions, omega-3 polyunsaturated fatty acid (PUFA) supplementation and soluble epoxide hydrolase (sEH) inhibition, on GN (Study 2). Specifically, the effects of consuming the omega-3 PUFA docosahexaenoic acid (DHA) (10 g/kg diet) and/or the sEH inhibitor TPPU (22.5 mg/kg diet) on R-LPS triggering were compared. Resultant blood fatty acid profiles and epoxy fatty acid concentrations reflected the anticipated DHA- and TPPU-mediated lipidome changes. The relative rank order of R-LPS-induced GN severity among groups fed experimental diets based on proteinuria, hematuria, histopathologic scoring, and glomerular IgG deposition was: VEH/CON < R-LPS/DHA ≈ R-LPS/TPPU <<< R-LPS/ TPPU+DHA ≈ R-LPS/CON. These interventions had modest to negligible effects on R-LPS-induced splenomegaly, plasma antibody responses, liver inflammation, and inflammation-associated kidney gene expression. Collectively, our results show for the first time that absence of O-antigenic polysaccharide in R-LPS is critical to accelerated GN in lupus-prone mice. Furthermore, intervention by lipidome modulation through DHA feeding or sEH inhibition suppressed R-LPS-induced GN; however, these ameliorative effects were greatly diminished upon combining the treatments.</p>
Resilience indicators used in the multidimensional characterization of the resilience of urban areas prone to flash floods in the region of Castilla y León (Spain)
<p>Database containing resilience indicators used in the characterization of all dimensions of resilience (social, economic, ecosystemic, physical, institutional and cultural) in those municipalities susceptible to flash floods in the region of Castilla y León (Spain). The database includes a total of 191 resilience indicators, of which 48 correspond to social resilience, 32 to economic resilience, 34 to ecosystem resilience, 44 to physical resilience, 27 to institutional resilience and 6 to cultural resilience.</p> <p>The Excel (.xlsx) file is organized by dimensions, where the prefix "SOC_" corresponds to the social dimension, "ECON_" to the economic dimension, "ECOS_" to the ecosystemic dimension, "PHY_" to the physical dimension, "INS_" to the institutional dimension and "CUL_" to the cultural dimension. Each dimension of resilience occupies two tabs: the first tab (suffixes "_data") contains the description of the indicators included (i.e., indicator code, unit of measurement, year of information, source of information, direct link to the information and bibliographic references that support the consideration of the different indicators); while the second tab (suffixes "_variables") contains the values of the different indicators (identified by their codes, which appear in the first tab) for each unit of analysis. </p>
data and code for "Depression and social anxiety in relation to problematic TikTok use severity: The mediating role of boredom proneness and distress intolerance "
<p>data and code for the paper titled "Depression and social anxiety in relation to problematic TikTok use severity: The mediating role of boredom proneness and distress intolerance", to be published on Computers in Human Behavior.</p> <p> </p> <p> </p>
Data from: Docosahexaenoic acid intake suppresses acute silica-induced inflammation, autoantibody production, and autoimmune-related gene expression in lupus-prone mice
<p class="MsoNormal">Short-term repeated intranasal exposure crystalline silica (cSiO<sub>2</sub>), a known human autoimmune trigger, induces uncontrolled inflammation, upregulated IFN-stimulated gene expression, diverse autoantibody production, and glomerulonephritis in lupus-prone female NZBWF1 mice. Dietary supplementation with the omega-3 fatty acid docosahexaenoic acid (DHA) prevents subchronic cSiO<sub>2</sub> triggering of these lupus hallmarks. To understand how this intervention impacts acute effects of cSiO<sub>2</sub>, we fed NZBWF1 mice control (CON) or DHA-containing diet, subjected them to a single acute intranasal instillation of 2.5 mg cSiO<sub>2</sub>, then compared pulmonary inflammatory/autoimmune responses and autoimmune-related gene expression in experimental cohorts terminated at 7 and 28 d post-instillation (PI). Acute cSiO<sub>2 </sub>exposure of CON-fed mice elicited decreased macrophage and increased neutrophil numbers at 7 d PI, whereas at 28 d PI, CON-fed mice treated with particle displayed elevated total cell, macrophage, neutrophil, and lymphocyte counts. In contrast, DHA-fed mice treated with cSiO<sub>2</sub> exhibited less macrophage loss at 7 d PI and reduced total cell, macrophage, and lymphocyte accumulation at 28 d PI. Terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) of lung sections suggested that cSiO<sub>2</sub> induced more robust cell death at 7 d PI in CON-fed than DHA-fed mice. Targeted multiplex ELISA of lung extracts showed that at 28 d PI, cSiO<sub>2</sub> induced higher concentrations of inflammation-associated cytokines (IL-1α, IL-6, and GM-CSF) and IFN-stimulated chemokines (CCL2, CCL3, CXCL10) in the CON-fed cohort than in the DHA-fed cohort. Autoantigen protein microarray of BALF collected at 28 d PI indicated that cSiO<sub>2</sub> induced higher autoantibody responses for representative nuclear, ribosomal, mitochondrial, and complement proteins in CON-fed mice than DHA-fed mice. Gene expression analyses with NanoString Autoimmune Gene Expression assay revealed greater cSiO<sub>2</sub>-triggered upregulation of genes associated with TLR activation, DNA signaling, proinflammatory cytokines, chemokines, type 1 and 2 IFN response signatures, lymphocyte trafficking, MHC class 1 antigen presentation, B and T cell activation at 7 and 28 d PI in CON-fed mice than those fed DHA. Ingenuity Pathway Analysis (IPA) further demonstrated that DHA supplementation quelled cSiO<sub>2</sub>-induced responses top upstream regulators of proinflammatory and IFN-regulated gene networks to observed in CON-fed mice. Altogether, this short-term model illustrated that DHA suppression of aberrant acute cSiO<sub>2</sub>-induced inflammation is linked to altered regulation of autoimmune-related gene expression in lupus-prone mice.</p>
Replication Package for the paper "AI-based Fault-proneness Metrics for Source Code Changes"
<p>This is the replication package for the paper "<em>AI-based Fault-proneness Metrics for Source Code Changes</em>", submitted at the <em>IWSM-Mensura '23 </em>conference.</p> <p>The archive is a <em>Docker </em>image file with a fully setup and working environment to re-execute the experiments involved in the manuscript. We pre-loaded all libraries and codeBERT models to ease the replication process and avoid compatibility issues, as the environment cannot be easily managed using <em>Dockerfile</em>s.</p> <p>To run the image, a <em>Docker</em> installation is needed. Once downloaded, from the command line type:</p> <pre><code>docker load -i </path/to/downloaded/ai-proneness-replication.tar></code></pre> <p>After the loading process, you can run the container by typing:</p> <pre><code>docker run -it mensura/ai-proneness-replication:1.0</code></pre> <p>All the source code and the dataset to re-execute the experiment is located into the <em>/Replication</em> folder. The folder contains the results of our experimentation in CSV and MS Excel format, along with the following subdirectories:</p> <ul> <li><em>dataset</em>: a replication of the used dataset. The file <em>dataset.csv</em> gives information on all the entries, while the <em>code </em>folder contains a subdirectory for each sample, named by its id. In the folder, the file <em>old.txt </em>and<em> </em><em>new.txt </em>refers to the older and newer version of the method, respectively; <em>gitdiff.txt </em>stores the raw <em>git-diff</em> command output, while <em>diff.html</em> stores a more human-readable version of the differences.</li> <li><em>ai-fault-proneness-tk-replication</em>: the Java code used to apply Tree Kernel techniques on the dataset (we used JDK-11, embedded within the container). To build and execute the package, refer to the file <em>README.md</em> in the folder. For convenience, we also provided an executable JAR file <em>ai-fault-proneness-tk-replication-1.0-jar-with-dependencies.jar </em>that can be run directly and saves the output in a CSV file in the <em>results</em> folder of the replication package.</li> <li><em>code-embeddings-and-analysis</em>: python scripts to execute the <em>codeBERT</em>-based approaches and to extract the <em>diff</em> statistics. To execute all the steps, a convenience shell script <em>execute.sh</em> has been pre-loaded and can be executed to automatize all the process.</li> </ul>
Tolerability of a Foaming Facial Cleanser and Moisturizer SPF 30 in a Pediatric Population (7-11) With Acne Prone Skin.
ClinicalTrials.gov study NCT01909713. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Prone to Supine Breast MRI Trial
ClinicalTrials.gov study NCT03573804. IPD Sharing: NO. Countries: 1. Publications: 2.
Evaluation of The Effects of Nebivolol in Comparison to Atenolol on Wall Shear Stress and Rupture Prone Coronary Plaques
ClinicalTrials.gov study NCT01230892. IPD Sharing: Not stated. Countries: 1. Publications: 1.
PrecISE (Precision Interventions for Severe and/or Exacerbation-Prone Asthma) Network Study
ClinicalTrials.gov study NCT04129931. IPD Sharing: NO. Countries: 1. Publications: 17.
Decreasing Intraoperative Skin Damage in Prone Position Surgeries
ClinicalTrials.gov study NCT04884737. IPD Sharing: NO. Countries: 1. Publications: 33.
Clinical Study of the Endotracheal Tube Used in Prone Position Ventilation Condition
ClinicalTrials.gov study NCT02449356. IPD Sharing: NO. Countries: 1. Publications: 9.
Awake-Prone Positioning Strategy for Hypoxic Patients With COVID-19
ClinicalTrials.gov study NCT04547283. IPD Sharing: YES. Countries: 1. Publications: 9.
Xylitol Syrup for the Prevention of Acute Otitis Media in Otitis-prone Children
ClinicalTrials.gov study NCT01044030. IPD Sharing: Not stated. Countries: 1. Publications: 2.
PRET: Patients Prone to Recurrence After Endovascular Treatment
ClinicalTrials.gov study NCT00626912. IPD Sharing: Not stated. Countries: 6. Publications: 1.
Prolonged Prone Positioning for COVID-19-induced Acute Respiratory Distress Syndrome (ARDS)
ClinicalTrials.gov study NCT04581811. IPD Sharing: NO. Countries: 1. Publications: 1.
A Study to Evaluate of Cosmetic Benefit of a Moisturising Cream in People With Blemish Prone Skin
ClinicalTrials.gov study NCT03093181. IPD Sharing: NO. Countries: 1. Publications: 1.
Awake Proning in COVID-19 Patients With Hypoxemic Respiratory Failure
ClinicalTrials.gov study NCT04408222. IPD Sharing: NO. Countries: 1. Publications: 5.
Ketosis-Prone Diabetes Mellitus (KPDM): Metformin Versus Sitagliptin Treatment
ClinicalTrials.gov study NCT01099618. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Treating Violence-Prone Substance Use Disorder Patients
ClinicalTrials.gov study NCT00700973. IPD Sharing: Not stated. Countries: 1. Publications: 4.
ScienceDex guides
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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.