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3,684 results for “extract”
IO Islamic 2267. Muntakhab-i- Rauḍat-alshuhadâ, An extract from the Rauḍat-alshuhadâ
<p>IO Islamic 2267. Muntakhab-i- Rauḍat-alshuhadâ, An extract from the Rauḍat-alshuhadâ</p>
Figure 1 from: Hudz N, Yezerska O, Shanaida M, Horčinová Sedláčková V, Wieczorek PP (2019) Application of the Folin-Ciocalteu method to the evaluation of Salvia sclarea extracts. Pharmacia 66(4): 209-215. https://doi.org/10.3897/pharmacia.66.e38976
Figure 1 Dependence of absorbance on wavelength for the interaction of gallic acid (100 µg/L) with the FCR (after 60 min of reaction time).
Figure 2 from: Hudz N, Yezerska O, Shanaida M, Horčinová Sedláčková V, Wieczorek PP (2019) Application of the Folin-Ciocalteu method to the evaluation of Salvia sclarea extracts. Pharmacia 66(4): 209-215. https://doi.org/10.3897/pharmacia.66.e38976
Figure 2 Dependence of absorbance on wavelength for E-4 of Salvia sclarea (dilution 1:10) with the FCR (after 60 min of reaction time).
IO Islamic 1572. Firishta's Gulshan-i-Ibrâhîmî, Extracts
<p>IO Islamic 1572. Firishta’s Gulshan-i-Ibrâhîmî, Extracts</p>
IO Islamic 2966. Lubb-altawârîkh-i-Hind, General History of India, Extract
<p>IO Islamic 2966. Lubb-altawârîkh-i-Hind, General History of India, Extract</p>
Display of the Crab long-term (15 year time span) spectrum extracted from a sample of 50 randomly selected ScWs.
<p><a href="https://www.astro.unige.ch/cdci/astrooda_?src_name=Crab&RA=83.633080&DEC=22.014500&T1=2003-03-15T23:27:40.0&T2=2018-03-16T00:03:15.0&T_format=isot&instrument=isgri&osa_version=OSA10.2&radius=15&E1_keV=20&E2_keV=40&product_type=isgri_spectrum&catalog_selected_objects=1,2,3,4&selected_catalog=%7B%22cat_column_descr%22:%5B%5B%22meta_ID%22,%22%3Ci8%22%5D,%5B%22src_names%22,%22%7CS18%22%5D,%5B%22significance%22,%22%3Ef4%22%5D,%5B%22ra%22,%22%3Ef4%22%5D,%5B%22dec%22,%22%3Ef4%22%5D,%5B%22NEW_SOURCE%22,%22%3Ei2%22%5D,%5B%22ISGRI_FLAG%22,%22%3Ci8%22%5D,%5B%22FLAG%22,%22%3Ci8%22%5D,%5B%22ERR_RAD%22,%22%3Cf8%22%5D%5D,%22cat_column_list%22:%5B%5B1,2,3,4%5D,%5B%221A+0535%2B262%22,%224U+0517%2B17%22,%22Crab%22,%22H+0614%2B091%22%5D,%5B116.77162170410156,7.909553527832031,1232.6466064453125,8.148767471313477%5D,%5B84.72620391845703,77.66708374023438,83.63129425048828,94.25425720214844%5D,%5B26.314136505126953,16.48775863647461,22.01542854309082,9.165886878967285%5D,%5B-32768,-32768,-32768,-32768%5D,%5B2,2,2,2%5D,%5B0,0,0,0%5D,%5B0.0002800000074785203,0.0002800000074785203,0.0002800000074785203,0.0002800000074785203%5D%5D,%22cat_column_names%22:%5B%22meta_ID%22,%22src_names%22,%22significance%22,%22ra%22,%22dec%22,%22NEW_SOURCE%22,%22ISGRI_FLAG%22,%22FLAG%22,%22ERR_RAD%22%5D,%22cat_coord_units%22:%22deg%22,%22cat_frame%22:%22fk5%22,%22cat_lat_name%22:%22dec%22,%22cat_lon_name%22:%22ra%22%7D">https://www.astro.unige.ch/cdci/astrooda_?src_name=Crab&RA=83.633080&DEC=22.014500&T1=2003-03-15T23:27:40.0&T2=2018-03-16T00:03:15.0&T_format=isot&instrument=isgri&osa_version=OSA10.2&radius=15&E1_keV=20&E2_keV=40&product_type=isgri_spectrum&catalog_selected_objects=1,2,3,4&selected_catalog={%22cat_column_descr%22:[[%22meta_ID%22,%22%3Ci8%22],[%22src_names%22,%22|S18%22],[%22significance%22,%22%3Ef4%22],[%22ra%22,%22%3Ef4%22],[%22dec%22,%22%3Ef4%22],[%22NEW_SOURCE%22,%22%3Ei2%22],[%22ISGRI_FLAG%22,%22%3Ci8%22],[%22FLAG%22,%22%3Ci8%22],[%22ERR_RAD%22,%22%3Cf8%22]],%22cat_column_list%22:[[1,2,3,4],[%221A+0535%2B262%22,%224U+0517%2B17%22,%22Crab%22,%22H+0614%2B091%22],[116.77162170410156,7.909553527832031,1232.6466064453125,8.148767471313477],[84.72620391845703,77.66708374023438,83.63129425048828,94.25425720214844],[26.314136505126953,16.48775863647461,22.01542854309082,9.165886878967285],[-32768,-32768,-32768,-32768],[2,2,2,2],[0,0,0,0],[0.0002800000074785203,0.0002800000074785203,0.0002800000074785203,0.0002800000074785203]],%22cat_column_names%22:[%22meta_ID%22,%22src_names%22,%22significance%22,%22ra%22,%22dec%22,%22NEW_SOURCE%22,%22ISGRI_FLAG%22,%22FLAG%22,%22ERR_RAD%22],%22cat_coord_units%22:%22deg%22,%22cat_frame%22:%22fk5%22,%22cat_lat_name%22:%22dec%22,%22cat_lon_name%22:%22ra%22}</a></p>
Mosaic image of Crab region extracted from a sample of 50 randomly selected ScWs, together with the display of the catalog of detectedsources.
<p><a href="https://www.astro.unige.ch/cdci/astrooda_?src_name=Crab&RA=83.633080&DEC=22.014500&T1=2003-03-15T23:27:40.0&T2=2018-03-16T00:03:15.0&T_format=isot&instrument=isgri&osa_version=OSA10.2&radius=15&use_scws=no&E1_keV=20&E2_keV=40&query_type=Real&detection_threshold=7.5&product_type=isgri_image">www.astro.unige.ch/cdci/astrooda_?src_name=Crab&RA=83.633080&DEC=22.014500&T1=2003-03-15T23:27:40.0&T2=2018-03-16T00:03:15.0&T_format=isot&instrument=isgri&osa_version=OSA10.2&radius=15&use_scws=no&E1_keV=20&E2_keV=40&query_type=Real&detection_threshold=7.5&product_type=isgri_image</a></p>
Crab long-term (15 year time span) lightcurve extracted froma sample of 50 randomly selected ScWs in 30-100 keV band, usingOSA10.2.
<p><a href="https://www.astro.unige.ch/cdci/astrooda_?src_name=Crab&RA=83.633080&DEC=22.014500&E1_keV=30&E2_keV=100&T1=2003-03-15T23:27:40.0&T2=2018-03-16T00:03:15.0&T_format=isot&catalog_selected_objects=1,2,3,4&detection_threshold=7.5&instrument=isgri&osa_version=OSA10.2&product_type=isgri_lc&time_bin=10000&time_bin_format=sec&query_status=ready&query_type=Real&radius=15&use_scws=no&selected_catalog=%7B%22cat_column_descr%22:%5B%5B%22meta_ID%22,%22%3Ci8%22%5D,%5B%22src_names%22,%22%7CS18%22%5D,%5B%22significance%22,%22%3Ef4%22%5D,%5B%22ra%22,%22%3Ef4%22%5D,%5B%22dec%22,%22%3Ef4%22%5D,%5B%22NEW_SOURCE%22,%22%3Ei2%22%5D,%5B%22ISGRI_FLAG%22,%22%3Ci8%22%5D,%5B%22FLAG%22,%22%3Ci8%22%5D,%5B%22ERR_RAD%22,%22%3Cf8%22%5D%5D,%22cat_column_list%22:%5B%5B1,2,3,4%5D,%5B%221A+0535%2B262%22,%224U+0517%2B17%22,%22Crab%22,%22H+0614%2B091%22%5D,%5B116.77162170410156,7.909553527832031,1232.6466064453125,8.148767471313477%5D,%5B84.72620391845703,77.66708374023438,83.63129425048828,94.25425720214844%5D,%5B26.314136505126953,16.48775863647461,22.01542854309082,9.165886878967285%5D,%5B-32768,-32768,-32768,-32768%5D,%5B2,2,2,2%5D,%5B0,0,0,0%5D,%5B0.0002800000074785203,0.0002800000074785203,0.0002800000074785203,0.0002800000074785203%5D%5D,%22cat_column_names%22:%5B%22meta_ID%22,%22src_names%22,%22significance%22,%22ra%22,%22dec%22,%22NEW_SOURCE%22,%22ISGRI_FLAG%22,%22FLAG%22,%22ERR_RAD%22%5D,%22cat_coord_units%22:%22deg%22,%22cat_frame%22:%22fk5%22,%22cat_lat_name%22:%22dec%22,%22cat_lon_name%22:%22ra%22%7D">https://www.astro.unige.ch/cdci/astrooda_?src_name=Crab&RA=83.633080&DEC=22.014500&E1_keV=30&E2_keV=100&T1=2003-03-15T23:27:40.0&T2=2018-03-16T00:03:15.0&T_format=isot&catalog_selected_objects=1,2,3,4&detection_threshold=7.5&instrument=isgri&osa_version=OSA10.2&product_type=isgri_lc&time_bin=10000&time_bin_format=sec&query_status=ready&query_type=Real&radius=15&use_scws=no&selected_catalog={%22cat_column_descr%22:[[%22meta_ID%22,%22%3Ci8%22],[%22src_names%22,%22|S18%22],[%22significance%22,%22%3Ef4%22],[%22ra%22,%22%3Ef4%22],[%22dec%22,%22%3Ef4%22],[%22NEW_SOURCE%22,%22%3Ei2%22],[%22ISGRI_FLAG%22,%22%3Ci8%22],[%22FLAG%22,%22%3Ci8%22],[%22ERR_RAD%22,%22%3Cf8%22]],%22cat_column_list%22:[[1,2,3,4],[%221A+0535%2B262%22,%224U+0517%2B17%22,%22Crab%22,%22H+0614%2B091%22],[116.77162170410156,7.909553527832031,1232.6466064453125,8.148767471313477],[84.72620391845703,77.66708374023438,83.63129425048828,94.25425720214844],[26.314136505126953,16.48775863647461,22.01542854309082,9.165886878967285],[-32768,-32768,-32768,-32768],[2,2,2,2],[0,0,0,0],[0.0002800000074785203,0.0002800000074785203,0.0002800000074785203,0.0002800000074785203]],%22cat_column_names%22:[%22meta_ID%22,%22src_names%22,%22significance%22,%22ra%22,%22dec%22,%22NEW_SOURCE%22,%22ISGRI_FLAG%22,%22FLAG%22,%22ERR_RAD%22],%22cat_coord_units%22:%22deg%22,%22cat_frame%22:%22fk5%22,%22cat_lat_name%22:%22dec%22,%22cat_lon_name%22:%22ra%22}</a></p>
Transfer Learning for leveraging computer vision in infrastructure maintenance [extracted features]
<p>Dataset containing features extracted from images taken on single case of infrastructure facility for the purpose of training Transfer Learned CNN classifier. It is meant to be used with KrakN framework (https://github.com/MatZar01/KrakN), published with the research paper.</p>
IO Islamic 665. Intikhâb-i-Ta'rîkh-alḥukamâ, An Abridgment or Extract from Tarjuma-i-Ta'rîkh-alḥukamâ
<p>IO Islamic 665. Intikhâb-i-Ta’rîkh-alḥukamâ, An Abridgment or Extract from Tarjuma-i-Ta’rîkh-alḥukamâ</p>
Reactive extraction of fructose for efficient separation of sucrose-derived glucosides produced by enzymatic glycosylation
<p>We provide here the underlying data of the scientific publication "Reactive extraction of fructose for efficient separation of sucrose-derived glucosides produced by enzymatic glycosylation". Please find the abstract below:</p> <p>The disaccharide sucrose (α-D-glucopyranosyl-1,2-β-D-fructofuranoside) is a highly efficient donor substrate for enzymatic glucosylation reactions. A large number of commercially relevant glucosides are produced via this general route. Every sucrose-based glucosylation involves co-production of D-fructose in amounts corresponding to the target glucoside. A separation technology for selective removal, and efficient recovery, of the D-fructose co-product would be highly desirable as a generic platform for downstream process development. Here, we demonstrate organoboronate-complex reactive extraction of D-fructose into an 1-octanol/hexane (4/1, v/v) solvent using methyltrioctyl ammonium chloride as phase transfer catalyst and extractant. We show separation of the D-fructose co-product (100 mM) from equimolar mixture with 2-α-D-glucosyl-glycerol, a cosmetic ingredient that is manufactured industrially from sucrose and glycerol using sucrose phosphorylase. With the main parameters of extraction, stripping and organic phase recycling identified and their effect on product/co-product yield and purity characterized, we developed a three-step extraction process with alternating extraction and stripping stages that removed the D-fructose efficiently at 50 ml operating scale. 2-α-D-glucosyl-glycerol and D-fructose were cleanly separated and obtained in excellent purity (≥90%) at a recovery of 90% and 83%, respectively. Reactive extraction appears to be faster and more selective and resource-efficient than applicable alternatives for separation, including chromatography and membrane nanofiltration. Thus, the established extraction process is promising for industrial application. It could be generically useful to separate D-fructose from glucosides</p>
Detrended SSH data set used for Rossby Wave Analysis, extraction at 39N from ORCA12.L46-MJM189 DRAKKAR simulation
<p>This data set corresponds to the detrended Sea Surface Heigh (SSH) simulated by the NEMO ocean circulation model, under the ORCA12.L46-MJM189 configuration, developped in the frame of the DRAKKAR project. This particular data set is an interpolation from the native numerical grid, covering the latitude 39N in the North Altantic ocean, for the period 1970 to 2015. The data are concatenated in a single file with 5-days average of SSH. This subset was used in Watelet et al. (2020) submitted paper, dealing with Rossby waves analysis.</p>
Test set - 4023 PubMed abstracts (for manuscript: Extracting knowledge networks from plant scientific literature: Potato tuber flesh color as an exemplary trait )
<p>A .zip archive containing the set of abstracts used in the test set (4023 abstracts from PubMed) in .txt format.</p> <p>This archive contains supplementary files for the manuscript Extracting knowledge networks from plant scientific literature: Potato tuber flesh color as an exemplary trait.</p>
Data from: Extracting phylogenetic signal from phylogenomic data: higher-level relationships of the nightbirds (Strisores)
A well-resolved phylogeny would facilitate study of adaptation to nocturnality in the avian superorder Strisores, a group that includes both nocturnal and diurnal lineages. Based on previous estimates, it could be hypothesized that there were multiple independent origins of nocturnality in this group. In order to refine the Strisores phylogeny, we generated genome-scale datasets of 2,289 – 4,243 ultra-conserved elements for 23 taxa representing all major living lineages in the group. Among the considerations for using genome-scale, molecular sequence data in phylogenomic analysis are issues related to GC content, GC variance and their effects on model selection. In this study, we employed a variety of analytical techniques to empirically investigate those issues in our data, as well as biases and errors resulting from alignment trimming, taxon selection and matrix completeness. Extensive analyses revealed conflict within the data, especially in regard to variation in GC content, that would not have been detected with more cursory study. Our results indicate that readily available models of molecular evolution are insufficient to encapsulate all phenomena present in genome-scale matrices, and that this problem may be at the root of many current issues in phylogenomic analysis. The analytical methods employed in this study are relevant to phylogenomic analysis of any large, heterogeneous matrix. In conclusion, we present a strongly supported estimate of the Strisores tree and discuss potential evolutionary pathways of nocturnality in this clade.
Data from: Validation of a simple extraction procedure for bisphenol A identification from human plasma
The general population is exposed to bisphenol A (BPA) orally, parenterally, transdermally, and environmentally as a result of the use of BPA in food packaging, plastics, and personal care products. The majority of the population nowadays (91–99%) has detectable levels of BPA inside their body. In this study, we successfully performed an inexpensive, rapid, and simple protein precipitation procedure for extraction of BPA from human plasma, followed by analysis by LC-MS/MS. This method was specifically developed for handling large numbers of samples with minimum cost and volume of sample. The developed method was accurate, precise, and reproducible for quantification of BPA from human plasma samples in the concentration range of 10–2000 ng/mL. The method was performed on samples from 150 healthy volunteers who were enrolled in the study. The mean of observed BPA level was 2.22 ± 9.91 ng/mL. Higher BPA levels were observed for females compare to that of males (p-value = 0.002), the BPA levels were higher in participants 33 years of age and older compared to those less than 33 years of age (p-value = 0.000), then the BPA levels higher in subjects with tap water as source of drinking (p-value = 0.005). This method may be valuable for general risk assessment of BPA for a large and varied population because of its efficiency and economical aspects.
Supplemental Material for Paper 'Taxonomy Extraction Using Knowledge Graph Embeddings and Hierarchical Clustering'
<p>Contains input data and gold standard for the non-expressive extraction task, as well as examples of extracted taxonomies for both the non-expressive and expressive cases. Extracted taxonomies can also be found at <a href="http://labowest.ca/sdb2020/">labowest.ca</a>.</p>
The effects of LED-mediated photobiomodulation vs no photobiomodulation on extraction space closure in adolescents and young adult patients: A split-mouth, randomized controlled trial.
<p>The aim of this split-mouth trial was is to examine the effects of light emitting diode (LED)-mediated photobiomodulation (PBM) compared to no photobiomodulation on maxillary canine distalization.</p> <p>The dataset is openly provided upon acceptance for publication.</p>
Extraction of Conceptual Models: User Stories vs. Use Cases
<p>This online appendix provides the materials of an experiment regarding the performance of individual subjects (24 students) in the extraction of conceptual models from a specification expressed:</p> <ul> <li>[IV1] as user stories or use cases</li> <li>[IV2] for one of three types of fictitious systems: hospital management system, urban traffic simulator, and international football association portal</li> </ul> <p>We measure the performance in terms of validity (DV1) and completeness (DV2) against models that were created by domain experts (the three authors of the paper and of this online appendix) from each of the specifications.</p> <p>The materials include</p> <ul> <li>The description of the three systems (folder System Descriptions)</li> <li>An Excel spreadsheet that includes raw data, charts, and statistical results</li> <li>The guidelines that the authors used in assessing the quality of the subjects' models against the expert models</li> <li>For each student who participated in the experiment and gave consent, <ul> <li>The specification, either via user stories or use cases, created by the student</li> <li>The student model created by the student</li> <li>The expert model created by one of the paper authors<br> Note that these files are highlighted to denote how we applied the tagging guidelines</li> </ul> </li> </ul>
Extractive desulfurization of liquid fuel using diamine-terminated polyethylene glycol as a very low vapor pressure and green molecular solvent
<p>Removal of sulfur compounds from liquid fuel is one of the important issues in the field of energy and environment. Among the available methods, extractive desulfurization (EDS) is of great interest due to its convenient operating conditions. In this study, EDS performance of 4,7,10-trioxatridecane-1,13-diamine (TTD), a very low vapor pressure diamine-terminated oligomeric polyethylene glycol, was studied. Effect of the influencing factors, as well as multiple extraction, mutual solubility, reusability and regeneration of TTD were investigated. Results showed that the TTD/fuel volume ratio of 0.5 could extract benzothiophene, dibenzothiophene, and dimethyl dibenzothiophene with the efficiencies 67, 74, and 53%, respectively, in less than one minute at ambient temperature. The distribution coefficient (<i>K<sub>N</sub></i>) value for removal of dibenzothiophene by TTD was 3.66 higher than that of polyethylene glycols (PEG) and it is similar to <i>K<sub>N</sub></i> values (about 4) for polyethylene glycol dimethyl ether (as a modified PEG) and Lewis acid-containing ionic liquids. It was observed that spent TTD after 5 cycles could be regenerated using the back-extraction method. Also, deep EDS was achievable after 3 times extraction using fresh TTD. Finally, the extraction mechanism was studied using <sup>1</sup>H-NMR. These observations, as well as very low vapor pressure and insignificant dependency of TTD on the initial S-concentration of fuel and temperature, make this extractant to be introduced as a valuable option for green and effective EDS.</p>
Figure 2 from: Nykyforuk A, Fira L, Lykhatskyi P, Pyda V (2020) Experimental research of garden spinach extract as a potential anabolic medicinal product. Pharmacia 67(4): 277-282. https://doi.org/10.3897/pharmacia.67.e56880
Figure 2 The content of ceruloplasmin in the serum of rats during starvation and after the use of DESL and KO, %. Note: * – probable changes (p ≤ 0.05) between the indicators of animals of all groups before starvation and after 7 days of starvation; # – probable changes (p ≤ 0.05) between the indicators of animals of control pathology and animals that received the experimental extract and the reference drug.
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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.