Resultados de investigación

In this investigation, the sol–gel method is employed along with a corrosion inhibitor to seal a plasma electrolytic oxidation (PEO) coating, aiming to improve the long-term corrosion resistance of the AZ31 Mg alloy. Following an initial screening of corrosion inhibitors, 8-hydroxyquinoline (8HQ) is incorporated into the hybrid PEO/sol–gel system using two methods: (i) post-treatment of the PEO layer through immersion in an inhibitor-containing solution; (ii) loading the inhibitor into the sol–gel precursor. The characterization includes scanning electron microscopy (SEM), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), ultraviolet-visible spectroscopy (UV-vis), and water drop contact angle measurements. The rheological properties of the inhibitor-loaded sol–gel precursors are assessed by measuring flow curves. The corrosion processes are evaluated in a saline solution through electrochemical impedance spectroscopy (EIS) and immersion tests with unscratched and scratched specimens, respectively. The results demonstrate the successful incorporation of the inhibitor for both loading strategies. Regardless of the loading approach, systems containing 8HQ exhibit the most favourable long-term corrosion resistance.

Quantum machine learning in cloud environments requires protecting sensitive data while enabling remote computation. Here we demonstrate the first realistic implementations of a perfectly-secure quantum homomorphic encryption (QHE) scheme applied to quantum neural networks (QNN). Using efficient Clifford+T decomposition, we implement quantum convolutional neural networks for two complementary scenarios: (i) reverse delegated training, where encrypted data from multiple providers trains a user’s network via federated aggregation; (ii) private inference, where users process encrypted data with remote quantum networks. Moreover, analysis of server circuit privacy reveals probabilistic model protection through Pauli gate concealment. These results establish perfectly-secure QHE as a practical framework for multi-party quantum machine learning.

Electron microprobe and micro-Raman analysis of two samples collected in the Fe-Mn supergene enrichment zone of the Serra da Mina vein-hosted deposit, Iberian Pyrite Belt, SW Portugal. Data collected in the framework of a research project focusing on the paragenetic sequence of Mn oxides and the corresponding associated changes in physical-chemical conditions.

Esta base de datos está configurada por archivos de imagen, archivos que combinan imagen y texto y datos médicos. Las imágenes corresponden a tres bodegones que sirvieron de modelo y a la obra pictórica, con temple acrílico sobre lienzo, de cuatro sujetos con discromatopsia, estudiantes del Grado en Bellas Artes de la Universidad Complutense de Madrid. Se muestra la codificación de los tonos empleados por las personas participantes en el estudio. Hay, también, notas procesuales, que incluyen reflexiones de cada participante sobre la ejecución pictórica e imágenes del resultado conseguido en cada sesión. Finalmente, se incluyen los resultados del test CAD de visión cromática para cada sujeto.

This open access database compiles the research data from the BIOMOPRO coordinated project, funded by the Spanish Ministry of Science and Innovation (Title “Molecular probes engineered with photonic multifunction for advanced bio-medical applications”, Reference PID2020-114755GB-C3, Years 2021-2025), and developed by researchers from CSIC (Subproject 1, Reference PID2020-114755GB-C31), UCM (Subproject 2, Reference PID2020-114755GB-C32), and UPV/EHU (Subproject 3; Reference PID2020-114755GB-C33), in collaboration with early- and end-users from specialized Spanish and international research groups. The collected datasets are organized according to the main research outcomes achieved and include, among others, experimental and computational protocol data, equipment data, structural characterization data (e.g., ¹H and ¹³C NMR spectra, FTIR data, HRMS data, polarimetry data, and X-ray diffraction data of relevant compounds), UV-Vis-NIR spectroscopic data (e.g., steady-state absorption and emission spectra, time-delayed emission spectra, nanosecond and microsecond transient absorption spectra, electronic circular dichroism (ECD) spectra, and circularly polarized luminescence (CPL) spectra of relevant compounds in different media, concentrations and irradiation conditions), photophysical data (e.g., UV-Vis absorption, fluorescence, phosphorescence, and laser emission wavelengths, molar absorption coefficients, fluorescence and singlet oxygen quantum yields, fluorescence lifetimes, radiative and non-radiative deactivation rate constants, laser efficiencies, and dissymmetry g-factors of relevant compounds in different media, concentrations and irradiation conditions, along with detailed information on the spectroscopic techniques used), quantum mechanical calculation data (e.g.; computed molecular geometries and energies in the ground and excited states, electronic density maps of frontier orbitals, charge distribution maps, and simulated absorption spectra of relevant compounds, along with detailed information on the software and computational clusters used), and biological and biophotophysical data (e.g., cell uptake data, cell viability data under dark and non-dark conditions, bioimaging behaviour data using established and cutting-edge microscopy techniques, and phototheragnostic behaviour data).

Base de datos de la tesis doctoral Representación Corporal y Procesos cognitivos. Incluye variables sociodemográficas, biomédicas, neuropsicológicas y de representación corporal en 100 personas (n: 53 ictus; n: 47 controles sanos).

La Colección Fotográfica Hernández-Pacheco (Patrimonio Digital Complutense) contiene las imágenes digitalizadas de 1510 fotografías realizadas en su mayoría por el geólogo Eduardo Hernández-Pacheco en el desarrollo de su actividad docente e investigadora. Las fotografías positivadas sobre placas de vidrio han sido descritas por el grupo de investigación FOTODOC (UCM). Esta descripción ha sido revisada por La Biblioteca Histórica de la UCM, lugar en el que están depositadas físicamente. En lo que tiene que ver con su versión digital, han sido depositadas en el portal Patrimonio Digital Complutense por el Servicio Digital y Web de la Biblioteca Complutense. Este Servicio ha llevado a cabo la conversión de los metadatos originales disponibles en el buscador Cisne en formato Marc21 a los distintos vocabularios interoperables para su puesta a disposición del público. Así mismo, se ha realizado un trabajo de geolocalización de dicho conjunto de fotografías.

This open access database compiles the research data from the ORCHESTRACA project funded by the Spanish Ministry of Science and Innovation (Title “From multivalency in molecules to nanomaterials organization: chemical modification strategies in fullerenes and carbon dots for biological and (bio)sensing applications”, Reference PID2020-115120GB-I00, from 01/09/2021 to 28/02/2025). The collected datasets are organized according to the main research outcomes achieved and include, among others, experimental and computational protocol data, equipment data, structural characterization data (e.g., ¹H and ¹³C NMR spectra, FTIR data, HRMS data, Raman, DLS, and XPS of relevant compounds), microscopic characterization (TEM, AFM), UV-Vis-NIR spectroscopic data (e.g., steady-state absorption and emission spectra, time-delayed emission spectra, nanosecond and microsecond transient absorption spectra, and circular dichroism (CD) spectra, of relevant compounds in different media, concentrations and irradiation conditions), photophysical data (e.g., UV-Vis absorption, fluorescence, phosphorescence, and laser emission wavelengths, molar absorption coefficients, fluorescence and singlet oxygen quantum yields, fluorescence lifetimes, radiative and non-radiative deactivation rate constants of relevant compounds in different media, concentrations and irradiation conditions, along with detailed information on the spectroscopic techniques used), quantum mechanical calculation data (e.g., computed molecular geometries and energies in the ground and excited states, electronic density maps of frontier orbitals, charge distribution maps, along with detailed information on the software and computational clusters used), and biological and biophotophysical data (e.g., cell uptake data, cell viability data under dark and non-dark conditions, confocal fluorescence microscopy, transinfection experiments, SPR binding studies, quartz crystal microbalance determination of association constants, and bioimaging behavior).