Resultados de investigación

2 pages. -- Table 1 Compares the performance and cost estimation of two selected references and FeS2-decorated CNF., Peer reviewed

19 pages. -- List of Schemes: S1. AbPPO4-loaded SBA-15 materials and structures of the phenolic substrates used for catalysis. -- S2. Reaction mechanism of the oxidation of phenolic compounds by AbPPO4. List of figures: S1. SDS-PAGE (8–15% acrylamide) of the expression of AbPPO4 by Escherichia coli BL21(DE3). -- S2. Characterization of the structured ordering and porosity of SBA-15 and SBA-15-NH2 by low-angle XRD, TEM and N2-physisorption. -- S3. Internal structure and outer dimensions of latent AbPPO4. -- S4. Mass loss and DSC profiles of SBA-15, SBA-15-NH2 and AbPPO4-loaded silica. -- S5. Solid-state 29Si CP/MAS NMR of SBA-15 and SBA-15-NH2. -- S6. UV/Vis spectra of the supernatants obtained after AbPPO4 loading. -- S7. N2-sorption isotherms and NLDFT pore size distribution of adsorbed AbPPO4 on mesoporous silica. -- S8. Low-angle XRD patterns of the different tyrosinase-loaded samples SBA-15-NH2-Tyr. -- S9. Leaching test performed for SBA-15-Tyr during the catalytic oxidation of L-tyrosine. -- S10. Oxidation of L-tyrosine by free AbPPO4, SBA-15-Tyr and SBA-15-NH2-Tyr followed by 1H-NMR. -- S11. UV/Vis spectra of the supernatants obtained after 20 min adsorption of oxidized phenols on mesoporous silica. -- S12. Influence of SDS concentration on dopachrome production in the reaction of L-tyrosine with SBA-15-Tyr. -- S13. ATR-FTIR spectra of AbPPO4 loaded on mesoporous silica. List of tables: S1. Assignment of the signals in the solid-state 29Si CP/MAS NMR spectra of pure and functionalized silica. -- S2. Porosity and textural properties obtained from the N2-physisorption analysis. -- S3. Assignment of the signals of the ATR-FTIR spectra of SBA-15-Tyr and SBA-15-NH2-Tyr measured before and after their reaction with tyrosine., Peer reviewed

12 pages. -- Fig. S1-S17. -- Table S1. Faradaic Efficiency of the reported MOFs-based electrocatalysts for CO2 electroreduction., Peer reviewed

[Description of methods used for collection/generation of data] The data were acquired using the RGB camera TRI032S-CC RGB from Lucid Vision Labs equipped with the SV- 04514V lens (resolution: 5 MP; FoV: 59.4° × 79°)., This dataset consists of a set images of maize fields representing real-world conditions, acquired with medium-high angle perspective, containing five distinct growth stages based on the BBCH notation system. Within each folder are images in .jpg format and matching .txt files, containing the bounding boxes identifying the plants within the image., This dataset is part of a the WeLASER project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101000256., The dataset is composed of 5 folders, each folder containing a specific growth stage based on the BBCH notation system. Within each folder are images in .jpg files and matching .txt files, which contain the bounding boxes identifying the plants within the image., Peer reviewed

18 pages. -- I. Methods. -- II. Supplementary sections. -- Section S1 Estimation of initial Fermi energy and carrier density in graphene. -- Section S2 Thermalized hot carrier distribution in graphene. -- Section S3 Pure photo-thermionic emission (PTE) model. -- Section S4 PTE model involving one defect state Section S5 PTE model involving two defect states. -- III. Supplementary figures. -- Figure S1 UV-vis absorption spectra of WS2 monolayer and graphene-WS2 heterostructure. -- Figure S2 Raman spectra of WS2 monolayer and graphene-WS2 heterostructure. -- Figure S3 Majority conducting carrier density change in graphene based on the pure PTE model. -- Figure S4 Majority conducting carrier density change in graphene based on the PTE model involving one defect state with a fixed defect density. -- Figure S5 Majority conducting carrier density change in graphene based on the PTE model involving one defect state with a fixed defect energy. -- Figure S6 An optical image of the as-prepared electrochemically gated graphene-WS2 heterostructure., Bond-free integration of two-dimensional (2D) materials yields van der Waals (vdW) heterostructures with exotic optical and electronic properties. Manipulating the splitting and recombination of photogenerated electron–hole pairs across the vdW interface is essential for optoelectronic applications. Previous studies have unveiled the critical role of defects in trapping photogenerated charge carriers to modulate the photoconductive gain for photodetection. However, the nature and role of defects in tuning interfacial charge carrier dynamics have remained elusive. Here, we investigate the nonequilibrium charge dynamics at the graphene–WS2 vdW interface under electrochemical gating by operando optical-pump terahertz-probe spectroscopy. We report full control over charge separation states and thus photogating field direction by electrically tuning the defect occupancy. Our results show that electron occupancy of the two in-gap states, presumably originating from sulfur vacancies, can account for the observed rich interfacial charge transfer dynamics and electrically tunable photogating fields, providing microscopic insights for optimizing optoelectronic devices., Peer reviewed

Table S1: Clinical characteristics of patients with Glioblastoma (WHO 2021 guidelines) included in the GLIOCAT study; Supplementary Table S2: Antibodies used for the immunohistochemical analysis of the GBM samples from the GLIOCAT cohort., Peer reviewed

[Description of methods used for collection/generation of data] The data were acquired using the RGB camera TRI032S-CC RGB from Lucid Vision Labs equipped with the SV- 04514V lens (resolution: 5 MP; FoV: 59.4° × 79°)., This dataset consists of a set images of sugar beet fields representing real-world conditions, acquired with medium-high angle perspective, containing four distinct growth stages based on the BBCH notation system. Within each folder are images in .jpg format and matching .txt files, containing the bounding boxes identifying the plants within the image., This dataset is part of a the WeLASER project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101000256., The dataset is composed of 4 folders, each folder containing a specific crop and growth stage based on the BBCH notation system. Within each folder are images in .jpg files and matching .txt files, which contain the bounding boxes identifying the plants within the image., Peer reviewed

[Description of methods used for collection/generation of data] Viral samples were sequenced in the Institute of Biomedicine of Valencia using the ARTIC v3 primer scheme. Libraries were prepared using the Nextera Flex DNA Library Preparation Kit and sequenced on the Illumina MiSeq platform. 2. Methods for processing the data: Reads were processed with the SeqCOVID pipeline for SARS-CoV-2 bioinformatic analysis (https://gitlab.com/fisabio-ngs/sars-cov2-mapping)., Mapped reads and consensus genomes derived of 12 SARS-CoV-2 serial samples from a chronically infected patient in Barcelona, Spain, between March 30, 2020 and November 11, 2020. The samples belong to lineage B.1 and were obtained in the Hospital Clínic de Barcelona. Sequencing was performed at the Institute of Biomedicine of Valencia using the ARTIC v3 protocol, the Nextera Flex DNA Library Preparation Kit and the Illumina MiSeq platform. The bioinformatic analysis was done with the SeqCOVID pipeline for SARS-CoV-2 bioinformatic analysis. The dataset has been analyzed with VIPERA, a pipeline that integrates phylogenetic and evolutionary analysis of intrapatient SARS-CoV-2 sequences, allowing the automated detection of serially sampled infections and the identification of evolutionary patterns within the same viral infection., ERR5708628.trim.sort.bam ERR5708640.trim.sort.bam ERR5708657.trim.sort.bam ERR5709045.trim.sort.bam ERR5709055.trim.sort.bam ERR5709318.trim.sort.bam ERR5709345.trim.sort.bam ERR5709354.trim.sort.bam ERR5709379.trim.sort.bam ERR5709385.trim.sort.bam ERR5709420.trim.sort.bam ERR5709463.trim.sort.bam ERR5708628.fa ERR5708640.fa ERR5708657.fa ERR5709045.fa ERR5709055.fa ERR5709318.fa ERR5709345.fa ERR5709354.fa ERR5709379.fa ERR5709385.fa ERR5709420.fa ERR5709463.fa metadata.csv, Peer reviewed

11 pages. -- Materials and methods: 1.1 Molecular weight determined by gel permeation chromatography. -- 1.2 Film bursting tests by monitoring pressure given on the GMTA film. -- 1.3 An in vitro degradation profile of GMTA films in fetal bovine serum. -- 1.4 Cytotoxicity tests by agar diffusion methods. -- 1.5 Subcutaneous implantation and histology staining. -- Figures S1-S7. -- Movie S1. TA spray curing on an uncured GM film showing enhanced interfacial adhesion on a freshly prepared porcine heart., Peer reviewed

Supplementary Figure 1. TP antibody specificity and affinity. a.-- Supplementary Figure 2. a, Proliferation capability of OSCAR T cells upon rechallenge with OHS cell line.-- Supplementary Figure 3. In vitro effector function of OSCAR -1 and OSCAR -3 T cells towards LM7 OS cells. a.-- Supplementary Figure 4. In vivo effector function of OSCAR-1 and OSCAR-3 T cells in lung metastatic mouse models. a.-- Supplementary Figure. 5 Staining of target cells in figure 5b with anti ALPL, TP-1 and TP-3 antibodies. Isotype and secondary antibody controls (grey).-- Supplementary methods., Peer reviewed