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Objective: To engage in a priority-setting exercise with both clinicians and consumers to determine systematic reviews of highest priority to update. Study Design & Setting: The US Satellite of the Cochrane Pregnancy & Childbirth Group (US-PCG) narrowed a list of over 600 review titles due for updating down to 97 review titles based on US relevance. The US-PCG then used the Delphi method to explore consensus on which titles to prioritize for updating. In Round 1, participants self-identified as a clinician/researcher or consumer, and then ranked titles into “high”, “medium”, and “low” priority groups. In Round 2, participants were given Round 1 results and asked to rank their top 5 titles. Results were analyzed within and between groups.
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Verifiable gender based Labor Participation Rate datasets from in North Cyprus are presented in the data pack in powerpoint (ppt). The North Cypriot datasets are derived from publicly accessible 'devplan.org' website. The specific location on the website for the data are expressed in the ppt display. Calculations to arrive at labor participation rate description are also detailed out in the presentation.
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There are two documents in the repository. The “MMCS_Summary.pdf” and “MMCS_nutsell.pptx”. The first is a summary of the main elements (graphic symbols) of the specification, and some examples. The second is a presentation to better understand some important characteristics of the specification. It is highly recommended to watch this presentation in full screen mode.
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This dataset is the complete directory of all Trygve's web pages. The web page HTML code is found from its URL. For example, the HTML for http://folk.uio.no/trygver/themes/Personal/pp-index.html is in the file at themes/Personal/pp-index.html The University of Oslo is terminating its Web service after 25 years of operation. My gigabyte of web pages have been collected over the years and will no longer be accessible over the Net. The pages are stored in this dataset and it may be possible to transfer them to another service if required. It should in any case be possible to read the dataset with an HTML reader.
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Raw data for Salmonella expresses foreign genes during infection by degrading their silencer
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The main hypothesis of this work is that silicon dioxide nanofluids can reduce the work of adhesion required to pull aromatic and alkane functional groups from quartz and feldspar mineral substrates. A secondary hypothesis is that the adhesion work is directly related to adhesion force - both of which are measured on AFM. The data collected shows that adhesion force decreases as nanofluid concentration increases up to 0.5 wt% after which it begins to decrease. Mean adhesion force (pN) with error margin was obtained from histograms generated during atomic force microscope (AFM) measurements. The measurements consist of 1024 force curves per test. Standard deviation values are also included. A 2-D plot can reveal the trend of adhesion force with nanofluid concentration. Similarly, a linear relationship seems to exist between adhesion force and adhesion work (aJ), but the latter seems to also depend on scan rate and displacement. Mean adhesion work measurements were obtained in similar manner to force curves. All associated data are available in the spreadsheet named" AFM data". All of the 1,024 force curves obtained per test were carefully analyzed and a single force curve was selected to describe the role of intermolecular forces. As presented in the document "AFM force curves", a plot consists of two portions: approach (red line) and retract (blue line). The vertical axis represents adhesion force (force, pN) and horizontal axis represents vertical displacement of probe/tip from substrate (z snr, microns). The adhesion histograms calculated via post-processors are more relevant for quantitative interpretations (adhesion work and force) than the single force curves, which are more useful for qualitative interpretations such as type of intermolecular forces governing substrate/tip/medium interaction. The approach line is used to predict the presence of Van Der Waal's force and electrostatic repulsion while the retract line is used to predict dominance of capillary adhesion and binding force; the reader is referred to the reference provided below for exhaustive details. Indeed, the force curves can be used to mathematically model these surface forces, but it will require more rigorous topographic imaging and careful examination of cantilever displacement as it approaches and retracts from the surface. This is beyond the scope of this work.
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Supplemental to figure 1 of "Analysis of a limb-specific regulatory element in the promoter of the link protein gene." This supplemented figure 1 shows the details of the X-gal staining from embryos containing the -1020 and -690 nt Hapln-lacZ transgenes. Fig. 1. Link protein gene promoter constructs show in vivo expression patterns in either the skeleton or limb/genitalia. (A) Two different link protein promoter fragments consisting of the −1020 and −690 nt regions were tested in transgenic mice. (B) A representative E15.5 mouse transiently expressing the −1020 promoter region showed only X-gal staining in appendicular and axial cartilaginous skeletal tissues. A dark background was used to provide contrast to the photograph to allow easy visualization of the discrete expression in cartilage sites. (B-1) Sectioning showing staining in the tibia after X-gal and eosin counter-staining. (B-2) Immunofluorescence using antibody to Hapln1. (C) and (D) The shorter −690 promoter region demonstrated high-level expression in the limb and genitalia as shown in two representative mouse embryos. As shown, embryos showed variability of X-gal staining in the limb and hind paw regions. The embryos in C and D were dissected and either the paws (C1, D1; 5x) or genital tubercle (C2, D-2;20x) were examined by tissue-sectioning and counter-staining with eosin. In paws and genitalia mesenchymal cells show X-gal staining underneath the un-stained epithelial cells.
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This is the primary data used in our publication by Kori et al., 2020
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Data from Western Blot. Protocols for immunoblotting.
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The included tests were performed at McMaster University in Hamilton, Ontario, Canada by Dr. Phillip Kollmeyer (phillip.kollmeyer@gmail.com). If this data is utilized for any purpose, it should be appropriately referenced. -A brand new 3Ah LG HG2 cell was tested in an 8 cu.ft. thermal chamber with a 75amp, 5 volt Digatron Firing Circuits Universal Battery Tester channel with a voltage and current accuracy of 0.1% of full scale. these data are used in the design process of an SOC estimator using a deep feedforward neural network (FNN) approach. The data also includes a description of data acquisition, data preparation, development of an FNN example script. -Instructions for Downloading and Running the Script: 1-Select download all files from the Mendeley Data page (https://data.mendeley.com/datasets/cp3473x7xv/2). 2-The files will be downloaded as a zip file. Unzip the file to a folder, do not modify the folder structure. 3-Navigate to the folder with "FNN_xEV_Li_ion_SOC_EstimatorScript_March_2020.mlx" 4-Open and run "FNN_xEV_Li_ion_SOC_EstimatorScript_March_2020.mlx" 5-The matlab script should run without any modification, if there is an issue it's likely due to the testing and training data not being in the expected place. 6-The script is set by default to train for 50 epochs and to repeat the training 3 times. This should take 5-10 minutes to execute. 7-To recreate the results in the paper, set number of epochs to 5500 and number of repetitions to 10. -The test data, or similar data, has been used for some publications, including: [1] C. Vidal, P. Kollmeyer, M. Naguib, P. Malysz, O. Gross, and A. Emadi, “Robust xEV Battery State-of-Charge Estimator Design using Deep Neural Networks,” in Proc WCX SAE World Congress Experience, Detroit, MI, Apr 2020 [2] C. Vidal, P. Kollmeyer, E. Chemali and A. Emadi, "Li-ion Battery State of Charge Estimation Using Long Short-Term Memory Recurrent Neural Network with Transfer Learning," 2019 IEEE Transportation Electrification Conference and Expo (ITEC), Detroit, MI, USA, 2019, pp. 1-6.
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