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3,684 results for “extract”
Data from: Membrane-assisted extraction of monoterpenes: from in-silico solvent screening towards biotechnological process application
This work focuses on the process development of membrane-assisted solvent extraction of hydrophobic compounds such as monoterpenes. Beginning with the choice of suitable solvents, quantum chemical calculations with the simulation tool COSMO-RS were carried out to predict the partition coefficient (logP) of (S)-(+)-carvone and terpinen-4-ol in various solvent-water systems and validated afterwards with experimental data. COSMO-RS results show good prediction accuracy for nonpolar solvents like n-hexane, ethyl acetate and n-heptane even in the presence of salts and glycerol in aqueous medium. Based on the high logP value, n-heptane was chosen for the extraction of (S)-(+)-carvone in a lab-scale hollow-fiber membrane contactor. Two operation modes are investigated where experimental and theoretical mass transfer values, based on their related partition coefficients were compared. In addition, the process is evaluated in terms of extraction efficiency and overall product recovery, and its biotechnological application potential discussed. Our work demonstrates that the combination of in-silico prediction by COSMO-RS with membrane-assisted extraction is a promising approach for the recovery of hydrophobic compounds from aqueous solutions.
Data from: Ginkgo biloba extract for prevention of acute mountain sickness: a systematic review and meta-analysis of randomized controlled trials
Study objective: Trials of ginkgo biloba extract (GBE) for the prevention of acute mountain sickness (AMS) have been published since 1996. Because of their conflicting results, the efficacy of GBE remains unclear. We performed a systematic review and meta-analysis to assess whether GBE prevents acute mountain sickness. Methods: The Cochrane Library, EMBASE, Google Scholar, and PubMed databases were searched for articles published up to May 20, 2017. Only randomized controlled trials were included. AMS defined as acute mountain sickness–cerebral(AMS-C) score≧0.7 or Lake Louise Score (LLS)≧3 with headache. The main outcome measures were the relative risks of AMS in participants receiving GBE for prophylaxis. Meta-analyses were conducted using random-effects models. Sensitivity analyses, subgroup analyses and tests for publication bias were conducted. Results: Six published articles with a total of 451 participants met all eligibility criteria. In the primary meta-analysis of all 7 study groups, GBE showed trend of AMS prophylaxis, but it is not statistically significant (RR =0.68; 95% CI: 0.45 to 1.04; p-value=0.08) (Figure 2). The I2 statistic was 58.7% (p-value=0.02), indicating substantial heterogeneity. The results of subgroup analyses of studies with low risk of bias, low starting altitude (<2500 m), number of treatment days before ascending and dosage of GBE were similar. Conclusions: The currently available data suggest that although GBE may tend toward AMS prophylaxis, there are not enough data to show the statistically significant effect of GBE for preventing AMS. Further large randomized control studies are warranted.
Data from: Robust extraction of quantitative structural information from high-variance histological images of livers from necropsied Soay sheep
Quantitative information is essential to the empirical analysis of biological systems. In many such systems, spatial relations between anatomical structures is of interest, making imaging a valuable data acquisition tool. However, image data can be difficult to analyse quantitatively. Many image processing algorithms are highly sensitive to variations in the image, limiting their current application to fields where sample and image quality may be very high. Here, we develop robust image processing algorithms for extracting structural information from a dataset of high-variance histological images of inflamed liver tissue obtained during necropsies of wild Soay sheep. We demonstrate that features of the data can be measured in a fully automated manner, providing quantitative information which can be readily used in statistical analysis. We show that these methods provide measures that correlate well with a manual, expert operator-led analysis of the same images, that they provide advantages in terms of sampling a wider range of information and that information can be extracted far more quickly than in manual analysis.
Data from: Parser extraction of triples in unstructured text
The web contains vast repositories of unstructured text. We investigate the opportunity for building a knowledge graph from these text sources. We generate a set of triples which can be used in knowledge gathering and integration. We define the architecture of a language compiler for processing subject-predicate-object triples using the OpenNLP parser. We implement a depth-first search traversal on the POS tagged syntactic tree appending predicate and object information. A parser enables higher precision and higher recall extractions of syntactic relationships across conjunction boundaries. We are able to extract 2-2.5 times the correct extractions of ReVerb. The extractions are used in a variety of semantic web applications and question answering. We verify extraction of 50,000 triples on the ClueWeb dataset.
GridKit: European and North-American extracts
<p>These files contain network models of the European and North-American high-voltage power grid, extracted by GridKit (https://github.com/bdw/GridKit). These extracts form a topological network with stations in one file (vertices.csv) and lines in another (links.csv). This network is intended for use in power system analysis. OpenStreetMap is the primary data source for these networks.</p>
Data extracted from acoustic device.
<p>Data extracted from acoustic device.</p>
ENCAPSULATION OF A FREE-SOLVENT EXTRACT OF LYCOPENE IN ALGINATE-Ca(II) BEADS CONTAINING SUGARS AND BIOPOLYMERS - Dataset
<p>Dataset of the work submitted to Chemical and Biological Technologies in Agriculture.</p>
Musical characteristics and experience: data extraction for our systematic review
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Protocol data extraction - Literature Review creating the Integrated List of Agile Practices
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Motivações para Aplicação da Refatoração Extract Method: Um Estudo Baseado em Mensagens de Commit
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Data from: Analysis of phytochemicals, antioxidants, and antimicrobial properties in non-polar extracts of Magnolia virginiana L. flowers from Saudi Arabia
<div> <p><em><span>Magnolia virginiana</span></em><span> (<em>M. virginiana</em>) L., a native North American plant, is globally cultivated for shade and ornamental purposes, including in Saudi Arabia. This study analyzed the chemical diversity and biological activity of non-polar extracts (n-hexane and diethyl ether) from <em>M. virginiana</em> flowers. The major components identified by </span><span>gas chromatography-mass spectroscopy (GC-MS) analysis were aromatic and aliphatic esters, triterpenes, steroids, and phenolic acids. The total phenolic content (TPC) of n-hexane and diethyl ether extracts was determined to be 29.66 and 29.44 mGAE/g, respectively. The extracts showed strong antioxidant activity, with the diethyl ether extract having more reducing power than the <em>n</em>-hexane extract. The diethyl ether extract also showed greater Trolox equivalent values in total antioxidant capacity (TAC) and ferric reducing antioxidant power (FRAP) assays, but the n-hexane extract exhibited higher metal chelating activity (MCA) and free radical scavenging activity (DPPH-SA) levels. The diethyl ether extract displayed stronger antimicrobial potential than the <em>n</em>-hexane extract, particularly against <em>Staphylococcus saprophyticus</em>, with a zone of inhibition diameter (ZID) of 20.0 ± 0.3 mm. The minimum inhibitory concentration (MIC), minimum biocidal concentration (MBC), minimum biofilm inhibitory concentration (MBIC), and minimum biofilm eradication concentration (MBEC) values were 0.78, 1.56, 1.56, and 3.125 mg/mL, respectively. </span></p> </div>
Comparison of Biological Potential between Aqueous Extracts of Rumex crispus Leaf and Root as Antibacterial, Synergistic Agents: A TLC-Bioautography and Cytotoxic Study
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Non-Targeted Metabolomics of Cichorium Fermenation Extracts
<p>Non-targeted LC-MS/MS based metabolomics of fermentation time series of Cichorium extracts. </p>
Supplementary material 1 from: Bernardes SC, von Rintelen T, Alexander S, Lorenz F, von Rintelen K (2023) Assessing 'non-destructive' DNA extraction method in small crustaceans kept in wet collections. Research Ideas and Outcomes 9: e113299. https://doi.org/10.3897/rio.9.e113299
Supplementary Table S1
Supplementary material 3 from: Bernardes SC, von Rintelen T, Alexander S, Lorenz F, von Rintelen K (2023) Assessing 'non-destructive' DNA extraction method in small crustaceans kept in wet collections. Research Ideas and Outcomes 9: e113299. https://doi.org/10.3897/rio.9.e113299
Supplementary Figure S2
Supplementary material 2 from: Bernardes SC, von Rintelen T, Alexander S, Lorenz F, von Rintelen K (2023) Assessing 'non-destructive' DNA extraction method in small crustaceans kept in wet collections. Research Ideas and Outcomes 9: e113299. https://doi.org/10.3897/rio.9.e113299
Supplementary Figure S1
Data Extraction Sheet_SLR
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Figure 2 from: Voynikov Y, Gevrenova R, Zheleva-Dimitrova D, Balabanova V, Nikolova I, Marinov L, Benbassat I, Momekov G (2023) UHPLC-Orbitrap screening of oleraindoles in hydromethanolic extracts of Portulaca oleracea. Pharmacia 70(4): 1521-1527. https://doi.org/10.3897/pharmacia.70.e113577
Figure 2 MS2 spectra and fragmentation analysis of the three basic HCA-I conjugates in negative ionization mode. The characteristic difference of 149.048 Da, indicating a neutral loss of the 5,6-dihydroxyindole is indicated. The fragment ion corresponding to 5,6-dihydroxyindole is 148.04 m/z.
Figure 3 from: Voynikov Y, Gevrenova R, Zheleva-Dimitrova D, Balabanova V, Nikolova I, Marinov L, Benbassat I, Momekov G (2023) UHPLC-Orbitrap screening of oleraindoles in hydromethanolic extracts of Portulaca oleracea. Pharmacia 70(4): 1521-1527. https://doi.org/10.3897/pharmacia.70.e113577
Figure 3 Proposed fragmentation behavior and diagnostic fragment ions of the basic components of oleraindoles: 5,6-dihydroxyindole, and coumaroyl, caffeoyl, and feruloyl moieties. (A): negative ionization mode; (B): positive ionization mode.
Figure 1 from: Voynikov Y, Gevrenova R, Zheleva-Dimitrova D, Balabanova V, Nikolova I, Marinov L, Benbassat I, Momekov G (2023) UHPLC-Orbitrap screening of oleraindoles in hydromethanolic extracts of Portulaca oleracea. Pharmacia 70(4): 1521-1527. https://doi.org/10.3897/pharmacia.70.e113577
Figure 1 Workflow chart of the study. The hydromethanolic extract of purslane was subjected to UHPLC-HRMS with subsequent MS2 analysis. After the raw data files were transformed with MSconvert, the data filtering (DIF and DDF) were performed either with MS2Analyzer, MZmine and the in-house R script. The scans that fell within 1.5% retention time threshold and 15 ppm m/z treshold were grouped, as belonging to the same substance. Then, the obtained list of possible oleraindole structures were manually inspected with the Xcalibur software.
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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.