Resultados de investigación

3 files, Additional file 1. Remarks on the eSS optimisation solver and detailed results for the Goodwin Oscillator problem and additional ENSO contour plots. This file describes our modifications to the eSS global optimisation solver. It also contains tables and figures showing the detailed results for the Goodwin Oscillator problem, and additional contour plots for the ENSO example.-- Additional file 2. Critical comparison of optimisation solvers. In GEARS, the optimisation problems are solved using the hybrid metaheuristic eSS. A comparison of the eSS global optimisation solver used in GEARS with other competitive local and global optimisation solvers.-- Additional file 3. Detailed results for the Fitzhugh-Nagumo, Repressilator and Enzymatic Oscillator problems. This file contains tables and figures showing the detailed results for the Fitzhugh-Nagumo, Repressilator and Enzymatic Oscillator problems, Peer reviewed

Supplementary Fig. 1. Schematic representation of the peptide array. Supplementary Fig. 2. Screening of the antibodies present in the pre-immune bleed and in four post-immunization bleeds collected from a sheep immunized with HNE-modified HSA. Supplementary Fig. 3. SA369 anti-HSA-HNE pAb enriched pAb purification chromatograms from affinity purification using an HSA-HNE-coupled resin to recover the mixture of anti-HA and anti-HSA-HNE IgGs (A) and an HSA-coupled resin for depletion of anti-HSA antibodies (B). Supplementary Fig. 4. Chromatogram obtained from the purification of the IgGs from the crude sheep sera (SA369) with a protein G resin (A) and from the enrichment of anti-HNE antibodies using a KLH-HNE conjugated resin (B). Supplementary Figure 5. Purification of SA369 pAbs from the sheep bleed SA369 using a KLH-HNE covalently bound to a sepharose resin. Supplementary Figure 6. ELISA assay comparing the binding of the anti-HNE Abcam and the Anti-HSA-HNE SA369 antibodies to recombinant HSA expressed in Saccharomyces cerevisiae and standard HSA (the same HSA molecule used for immunization). Supplementary Table 1. List of the human serum albumin (UniProt ID: P02768) peptides synthesized on the arrays, Supplementary data for the article https://doi.org/10.1016/j.freeradbiomed.2019.05.008, Peer reviewed

Contents of this file: Text 1. Comments to Figure S1&2 and Table S2; Text 2. Comments to Figure S3; Figures S1 to S3, Tables S1 to S2; Additional Supporting Information (Files uploaded separately): Captions for Datasets S1 to S2, The figures and tables reported here will help to understand the consistency of the OMP analysis performed in this study, Peer reviewed

1 file, Database including the hydrographic and biogeochemical data collected along the A16N&S, within the GO-SHIP program in 2013. The database also includes the water mass proportions calculated using an OMP analysis. This is the database that was used in the paper "Net additions of recalcitrant dissolved organic carbon in the deep Atlantic Ocean", submitted to Global Biogeochemical Cycles, Peer reviewed

1 zip file, Optimum Multiparameter Model in Matlab code to solve the mixing of water masses in the North and South Atlantic ocean based on GOSHIP cruises with available Dissolved Organic Carbon (DOC) data. Data below 250 dbar and colder than 14ºC are considered. The scripts solve the mixing of central, intermediate, deep and bottom waters crossed by the GOSHIP lines (A22-2012, A20-2012, A13.5-2010, A16N-2013, A16S-2013). INPUT variables are the comprised within a matlab file (OMP_ATL_DOM.mat) containing hydrographic and biogeochemical data as provided in the OCADS repository for Repeat Hydrography. The OUTPUT is generated in the file OMP_RESULTS.xlsx containing self explaining names of the output variables. A detailed explanation of the OMP settings, constraints and results to analyse and check is given in the linked Global Biogeochemical Cycles manuscript. To inititate the OMP analysis just run "Megaprograma.m", the analysis will start and when ending the results will appear in the xlsx file, Peer reviewed

1 file, This dataset contains the compound identifications, retention times, fragment ions used for semi-quantitave exercise (m/z) on the basis of peak areas, compound classes of the pyrolysis products (see text) and the relative proportions (as % of total quantified peak area) of all the pyrolysis products obtained and considered for the study of particulate organic matter from sediment traps in the NW iberian upwelling system (sheet 1). The ANOVA is provided in a separate sheet (sheet 2), Peer reviewed

3 files, Supporting information for the article https://doi.org/10.1074/jbc.RA118.004110, Peer reviewed

1 file, Dataset associated with the submitted publication Larval Fish Habitats and Deoxygenation in the Northern Limit of the Oxygen Minimum Zone off Mexico, https://doi.org/10.1029/2019JC015414, This data base has been obtained during the project funded by the financial support of SEP-CONACyT (contracts 2014-236864, L. Sanchez-Velasco) and Fronteras de la Ciencia-CONACyT (contracts 2015-2-280, L. Sanchez-Velasco), Peer reviewed

90 files, Five complete TMT10plex labellings including active TB patients and infected and uninfected contacts, Peer reviewed

The data base is related to the High Pressure Grinding Rolls (HPGR) modelling. This data was generated in a HPGR manufacturer pilot plant in Freiberg, Germany, and represents the particle size distribution measurement of the feed and the product of the milling reactor, and the calculation of some material features, as the moisture or the density. This data is necessary for the correct modelization of the comminution in a HPGR, and it can be used for different mathematical models., A model for High Pressure Grinding Rolls (HPGR) was developed in this work based on the widely used Population Balance Model (PBM). This approach uses a variety of different functions one of which is the breakage distribution function. The methodology to determine the function parameters is presented and using these values, the model was compared with real processed materials from an HPGR pilot plant, with tungsten ore as the test material. The results of the model parameter determination, and the product of the comminution in the HPGR, showed the dependency of material breakage on the material characteristics, and on the operative and process conditions. The model presented is reasonably robust, showing less error than the 3.0 Root Mean Square Error when compared with a heterogeneous feed particle size distribution material. The operational gap was also studied, and its dependency on the feed particle size, porosity, moisture, and specific pressing force was proven.