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Provides all origin files used in simulation of impact energy using sigmoidal models.
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Mesenchymal stem/stromal cells (MSC) have immunomodulatory properties, studied in a wide range of diseases. Validated Quality Controls must be able to confirm this activity in the context of clinical trials. This study presents the validation of a method, quantifying the ability of MSC to inhibit T cell proliferation according to the ICH Q2 standard. Peripheral blood mononuclear cells (PBMC) from a bank of ten donors, labeled with CellTrace Violet (CTV), were co-cultured with MSC at seven different ratios for seven days. Flow cytometry analysis was used to obtain the percentage of division (PD) of T cells. Two parameters were calculated: the percentage of inhibition (PI) of T cell proliferation, for each ratio X, determined using the following formula PI ratio X = (PD control – PD ratio X) / PD control, and the corresponding area under the curve (AUC). The validation of two different CTV-PBMC banks did not show any statistical difference and demonstrated stability over 509 days of storage. Analysis of repeatability and reproducibility showed a standard deviation (SD) of 6.1% and 4.6%, respectively. Robustness analysis, corresponding to the ability of a method to resist small but deliberate variations in its parameters, for PBMC, and MSC, did not present any difference. The assay was linear on the exploited range and permitted to distinguish MSC presenting different ranges of inhibition activity. This quantification method of MSC immunomodulatory activity displayed low analytical variability, sufficient robustness, and no inter-bank variability of PBMC. Therefore, it could be used for MSC manufacturing batch qualification.
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SVR-LSM Code and Results for Wiesen, Karnath & Sperber: Disconnection somewhere down the line: Multivariate lesion-symptom mapping of the line bisection error.
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Different human linker histone (H1) variants are expected to have distinct binding modes to the nucleosome. The position and orientation of a number of different H1 globular domains on the nucleosome were investigated through molecular docking using MGLTools and HADDOCK. The nucleosome core and linker DNA in the GH5-chromatosome structure (PDB: 4QLC) were used as a docking template. GH5 (in PDB: 4QLC) was re-docked to this template to test the docking algorithm. Docked and re-docked GH5 compared well. The docking algorithm was further tested by docking the NMR solution structure of the globular domain of chicken H1 (GH1, PDB: 1GHC) to the nucleosome template. The position of docked GH1 on the nucleosome agreed with literature. 
The N-terminal - and globular domain H1x hybrid (NGH1x) was studied using solution NMR in both low (20 mM sodium phosphate, pH 7.0) and high (20 mM sodium phosphate, 1 M sodium perchlorate, pH 7.0) ionic strength conditions (de Wit, H., Vallet, A., Brutscher, B. et al. Biomol NMR Assign (2019) 13: 249. https://doi.org/10.1007/s12104-019-09886-x). These low and high ionic strength structures were docked to the nucleosome template. 
Homology (MODELLER) and ab initio modeling (CS-ROSETTA) were employed to model structures for other human H1 globular domains: GH1.0, GH1.4, GH1oo, and GH1t. The modeled structures were also docked to the nucleosome template.
 All the docking procedures listed above produced 100 models of different energies. In each case, the lowest energy docked model was chosen. The structures of all the H1 globular domains that were docked to the template are given as PDB files (1GHC_lowest_energy.pdb; 2LSO_lowest_energy.pdb; GH5_re-docked_position.pdb; NGH1x_high_salt_NTD.pdb; NGH1x_low_salt_NTD.pdb; modeled_GH1_0_lowest_energy.pdb; modeled_GH1_4_lowest_energy.pdb; modeled_GH1oo_lowest_energy.pdb; modelled_GH1t_lowest_energy.pdb) in the data file. The nucleosome template structure is also given in PDB file format (4QLC_nucleosome_without_GH5.pdb). Finally, the docked models are also given (GH5-chromatosome.pdb; 1GHC-chromatosome.pdb; 2LSO-chromatosome.pdb; GH1_0-chromatosome.pdb; GH1_4-chromatosome.pdb; GH1oo-chromatosome.pdb; GH1t-chromatosome.pdb; NGH1x_no_salt-chromatosome.pdb; NGH1x_salt-chromatosome.pdb). The files are compatible with most molecular graphics software. The file Dockings_modelling_test_and_results.pdf provides the modeling and docking results in figures and tables. A short description of each figure and table is given within the PDF file.
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The archive contains original SEM images, XRD files,charge densification data, thermal conductivity experiments.
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Explanation and description of the microscopic data of mice tissue histology under concern by the Editor's of Plos One
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This dataset contains the primary data used in: "Multi-epoch X-ray burst modelling: MCMC with large grids of 1D simulations", Johnston et al. (2020). In this work, we interpolated and sampled a grid of 3840 KEPLER burst models using Markov Chain Monte Carlo (MCMC) methods to produce posterior distributions for the system parameters of the "Clocked Burster", GS 1826-238. Provided here is the full burst model grid and the raw MCMC sample chains. More details on the files, and how to load them, are provided in README.md
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Dataset for the paper entitled "Real-time command strategies for microgrids based on the Contract Collaboration Problem". You are free to use the instances in the zip file, if you cite the following work: @article{Levorato2020, author = {Levorato, M. and Figueiredo, R. and Frota, Y. and Jouglet, A. and Savourey, D.}, journal = {To be published}, title = {{Real-time command strategies for microgrids based on the Contract Collaboration Problem}}, year = {2020} } Instances description ================================= 1) full_intances: the 3 microgrid instances used in the main experiments: - A_instance2_1NDU_Cons : the *Cons* microgrid instance, with only the consumer uncertain system; - A_instance2_1NDU_Prod : the *Prod* microgrid instance, with only the producer uncertain system; - A_instance2 : the *Prod\&Cons* microgrid instance, with both uncertain systems (producer and consumer). For each instance, there are 3 files, each one for a group of randomly generated scenarios: - _1000s_skewed-left.txt : left-skewed beta distribution with parameters $\alpha=5,\beta=2$; - _1000s_skewed-right.txt : right-skewed beta distribution with parameters $\alpha=2,\beta=5$; - _1000s_uniform.txt: uniform distribution. The randomly-generated scenario values are located in the end of each file. 2) toy_sensitivity: reduces microgrid instances used in the sensitivity tests. Each file corresponds to a specific combination of model cost parameters, and the filename follows this mask: OC_Ct__DS_ST_NDU__.txt The parameters OC_cost, DS_cost, ST_cost follow the values listed in Table VI of the aforementioned paper. (caption: Energy cost parameters in sensitivity analysis). can be one of the 3 distributions used in the work (skewed-left, skewed-right or uniform). The used was 'default'. The used was 'default'. Again, the randomly-generated scenario values are located in the end of each file.
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Aedes mosquitoes are one of the mosquito genus a large impact on humans that it is the main vector of deadly infectious diseases such as microcephaly. Aedes koreicus is a mosquito, endemic to east Asia, including Korea, Japan and China. According to the available research about its native range, Ae. koreicus is able to tolerate winter temperatures lower than Ae. Albopictus and Ae. japonicus. Therefore, this species has rapidly expanded outside its native range and invaded Europe.
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Here we share our research data including four-stage Global Positioning System (GPS) results and the earthquake catalogue.
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