Resultados de investigación

Supplementary material: Quantum machine learning via continuous-variable cluster states and teleportation, Peer reviewed

S1 Table. Bat species assigned by visualization, number of samples, collection points and relevant data about fecal samples analized. S2 Table. Illumina reads and number of viral contigs obtained. S3 Table. Quality and identity of the viral genomes. S4 Table. Primers used for PCR amplification of missing regions in one partial genome. S5 Table. Prevalence and geographical distribution of the identified coronaviruses. S6 Table. Primers used to detect the identified coronaviruses by PCR. S7 Table. Cytochrome B bat species identification for coronavirus-positive individual samples. S8 Table. Primers and probes used in qPCR for the detection of coronaviruses growth in cells. S9 Table. Primers used for PCR amplification of bat and human sequences for HiFi cloning., Peer reviewed

Under a Creative Commons BY 4.0 license., Fig. S1 Syngas generation at (a) 800 °C and (b) 900 °C.; Fig. S2 XRD spectra of the raw OCs (A: Fe2O3, B: TiFe2O5, C: TiFeO3, D: CaO, E: Fe3O4, F: Ca2Fe1.94Al0.06O5, G: FeMnO3, H: MnS, I: Mn2.7Fe0.3O4); Fig. S 3 XRD spectra of (a) Ni-modified ilmenite, (b) Co-modified ilmenite, (c) Ca-modified ilmenite; Fig. S4 Gas generation behaviors of (a) 1Ni-ilmenite, (b) 3Ni-ilmenite, (c) 5Ni-ilmenite and (d) 10Ni-ilmenite; Fig. S5 H2-TPR profiles of (a) Ni, (b) Co, (c) Ca and CO-TPR profiles of (d) Ni, (e) Co, (f) Ca modified ilmenite; Fig. S6 Surface morphology and element distribution of (a) ilmenite and (b) 5Ni-ilmenite., This research is funded by the Research Council of Finland (decision numbers: 341052, 346578), L. Xu thanks the financial support from the National Natural Science Foundation of China (grant number: 52376196)., Peer reviewed

The content of the zip file is the supporting materials for the following paper published in Journal of Modern Power Systems and Clean Energy: Damian Gomila, Benjamín A. Carreras, José Miguel Reynolds-Barredo, María Martínez-Barbeito, Pere Colet, and Oriol Gomis-Bellmunt Reducing Blackout Risk by Segmenting European Power Grid with HVDC Lines,¡± Journal of Modern Power Systems and Clean Energy, vol. 13, no. 5, pp. 1556-1567., Peer reviewed

Supplementary Figures: Figure S1. Textural properties of commercial (MSC30) and functionalized (NC) activated carbons; Figure S2. XPS studies of commercial (MSC30) and functionalized (NC) activated carbons. Figure S3. Morphological characterization of NC. Figure S4. Morphological characterization of FeSA. Figure S5. Morphological characterization of FeSA. Figure S6. Morphological characterization of FeSA+clusters. Figure S7. Morphological characterization of Feclusters. Figure S8. ICP results with standard deviations for catalysts. Figure S9. XRD patterns of the catalysts. Figure S10. Influence of pyrolysis temperature on the Raman spectra of catalysts. Figure S11. Influence of pyrolysis temperature on the textural properties of the samples. Figure S12. Deconvolution results from N1s spectra of catalysts. Figure S13. XPS studies of the catalysts. Figure S14. ORR catalytic activity of commercial (MSC30) and functionalized (NC) activated carbons. Figure S15. Effect of iron concentration on ORR catalyst activity. Figure S17. Comparison of catalytic performance of our model catalysts with other Fe-N-C electrocatalysts available in the open literature for ORR in 0.1 mol L-1 KOH solution. Figure S18. Model structure of FeN4-OH for DFT calculations. Figure S19. Model structure of Fe2C6N4 for DFT calculations. Figure S20. Schematic representation of the Fe Bader charges calculated for the ORR intermediate as a function of the Gibbs free energy. Figure S21. Electron density isosurface of the Fe2C6N4-FeN4-OH system with all ORR intermediates., Supplementary Tables: Table S1. C, H, O and N contents of all materials, obtained by elemental analysis. Table S2. Textural properties of all materials, derived from N2 and H2 adsorption isotherms. Table S3. Elemental composition of FeXM-NC_T catalysts determined by XPS and ICP. Table S4. ORR parameters derived from LSV curves, for catalysts in O2-saturated 0.1 mol L-1 KOH solution. Table S5. Electrochemical ORR parameters in an O2-saturated 0.1 mol L-1 KOH solution for the best Fe-based carbon catalysts reported in the literature, and comparison with our own materials and commercial Pt/C. Table S6. Bader charges of Fe atom, N-doped carbon layer, and O atom for FeN4-OH, Fe6C2N4 and FeN4-Fe6C2N4-OH model at each step of the reaction., Supplementary Note 1: Influence of temperature and iron concentration on XRD spectra of the catalysts. Supplementary Note 2: Evolution of nitrogen species in Fe-N-C catalysts. Supplementary Note 3: Evolution of the iron content in Fe-N-C catalysts. Supplementary Note 4: Choice of the active site in the Fe6C2N4 structure model., This study was partially supported by the French PIA project “Lorraine Université d'Excellence”, reference ANR-15-IDEX-04-LUE and the TALiSMAN project funded by ERDF (2019–000214). JQB thanks the Ministerio de Universidades, the European Union and the University of Alicante for the financial support of his Margarita Salas fellowship (MARSALAS21-21). The DFT contribution benefited from access to the HPC resources of TGCC under the allocation 2023-A0140810433 made by GENCI., Peer reviewed

Here, we publish all the data from our publication titled Numerical insights on the volume phase transition of thermoresponsive hollow microgels. The paper is accepted by the Journal Soft Matter, and we already a published preliminary version on Arxiv (https://doi.org/10.48550/arXiv.2501.17020)., European Commission: QLUSTER - Quantum and Classical Ultrasoft Matter: 101072964., Peer reviewed

A detailed version of the Method section. Detailed analysis of the star polymer shape as a function of the number of arms and solvent quality. Effective interaction calculations, showing details of tail parameter computations, mainly for thermal star polymers. Investigating the star overlap for different surfaces meshes., Peer reviewed

Sample synthesis and characterization; SANS experimental details, including description of experiments to determine matching conditions., Peer reviewed

El estudio analizó las tasas de crecimiento de Chelonibia testudinaria en tortugas verdes que anidan en el noroeste de Costa Rica, evaluando la influencia de factores ambientales y biológicos. Los resultados muestran que las tasas de crecimiento varían entre individuos, especies y regiones, por lo que el uso de estos percebes como indicadores del uso del hábitat de las tortugas marinas requiere más investigación, aunque representan una herramienta potencialmente útil y económica, Funding for the Playa Grande and Cabuyal sea turtle projects were provided by The Leatherback Trust, the Earthwatch Institute, the National Fish and Wildlife Foundation of the US, the AZA Sea Turtle SAFE Program, the Virginia Aquarium & Marine Science Center, North Carolina Aquariums, South Carolina Aquarium and The Florida Aquarium. Robinson N.J. was funded by the Spanish government (AEI) through the Ramon y Cajal postdoctoral program (#RYC2021-034381-I). Support to ICM was provided via the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S) and funded by the Agencia Estatal de Investigación (AEI) https://doi.org/10.13039/501100011033, Peer reviewed

Supplementary file3 (XLSX 87 KB) Fig. S1 Area of leaves used for VviEPFL9-1 and VviEPFL9-2 expression analysis (Fig. 1). Fig. S2 Qualitative PCR check of ‘Sugraone’ epfl9-1 and epfl9-2 mutant lines independency. Fig. S3 Allele plot of the target site in loss-of-function mutants of ‘Syrah’ (Sy) and ‘Kober 5BB’ (Ko) according to the analysis of the Illumina sequencing by CRISPResso2. Fig. S4 Stem water potential of ‘Sugraone’ plants subjected to water stress experiment 1. Fig. S5 Plant height during water stress experiment 2. Fig. S6 Temperatures and irrigation schedules of water stress experiment 2. Table S1 Primers used in the PCR reactions for different applications. Table S2 Metadata associated with the transcriptomic public Illumina-based transcriptomic runs reanalysed and graphed in Fig. 1g.Table S3 Metadata associated with the transcriptomic public Illumina-based transcriptomic runs reanalysed and graphed in Fig. 2g,h. Table S4 Molecular characterization of edited plants of Vitis vinifera cv. ‘Sugraone’ and ‘Syrah’ and of the rootstock ‘Kober 5BB’ (Vitis berlandieri x Vitis riparia). Table S5 Plants used in water stress experiment 2., Peer reviewed