Resultados de investigación

The dataset includes bank-level financial variables, variables related to FinTech lending, and macroeconomic indicators, as well as indicators related to the legal and institutional environment of countries. It contains information derived from databases such as ORBIS Bank Focus (Bureau van Dijk) and other publicly available sources, and it allows for the replication of the empirical analyses presented in the article “Digital disruptors at the gate. Does FinTech lending affect bank market power and stability?” (published in the Journal of International Financial Markets, Institutions & Money)., Authors are grateful for the financial support from the regional government of Madrid – UAM Research Project for Young Researchers (SI3-PJI-2021-00276). Pedro J. Cuadros acknowledges financial support from the Spanish Ministry of Science and Innovation, Project PID2021-128994NA-I00 and TED2021-132896A-100, the regional government of Andalusia under Grant P18-RT3571 Project and P12.SEJ.2463. Elena Cubillas acknowledges financial support from the Spanish Ministry of Science and Innovation, Project PID2022-140940NB-I00 and from the regional government of Asturias to the Financial Economic Research Group GECOFIN, AYUD/2021/50878. Nuria Suárez acknowledges financial support from the Spanish Ministry of Economy and Competitiveness, Project PID2020-118064GB-I00, and from the Professorship Excellence Program in accordance with the multi-year agreement signed by the regional government of Madrid and the Universidad Autónoma de Madrid (Line #3).

The datasets include country- and bank-level financial variables. Specifically, the variables refer to 67 countries and 6,205 commercial banks. They contain information derived from databases such as ORBIS Bank Focus (Bureau van Dijk) and other publicly available sources, and allow for the replication of the empirical analyses presented in the article “Does alternative digital lending affect bank performance? Cross-country and bank-level evidence”, published in the International Review of Financial Analysis., Pedro J. Cuadros acknowledges financial support from the Spanish Ministry of Science and Innovation, Projects PID2021-128994NA-I00 and TED2021-132896A-100. Elena Cubillas acknowledges financial support from the Spanish Ministry of Science and Innovation, Project MCI-20-PID2019-108503RB-I00, and from the regional government of Asturias to the Financial Economic Research Group GECOFIN, AYUD/ 2021/50878. All authors acknowledge financial support from the Regional Government of Madrid and UAM through the Program to Foster Research by Young Scholars, Project SI3/PJI/2021-00276.

This work was supported by the I+D+i projects PID2020-118376RA-I00 and PID2023-148375OB-I00, (funded by MCIN/AEI/10.13039/501100011033, FEDER, EU) and IDE/2024/000694 funded by the Government of the Principality of Asturias and FEDER Program of the European Union through SEKUENS Agency. E.C.R. was supported by the Spanish Ministry of Universities “Beatriz Galindo” grant (BG20/00027) and P.R.L. by the Asturian Council for Science, Technology, and Innovation “Severo Ochoa” grant (BP21-029). Authors would like to thank Rhinostics for providing GrooveSwab® devices and, also, to Servicios Científico-Técnicos of the University of Oviedo for the technical support.

This dataset comprises targeted next-generation sequencing (NGS) data generated from matched primary tumour tissue and patient-derived tumour organoids (PDTOs) established from patients with non-small cell lung cancer (NSCLC).

El trabajo realizado ha generado una serie de nuevos sistemas diseñados para monitorizar la evolución de las estructuras de hormigón armado y presentar los valores medidos de la velocidad de corrosión y otros parámetros de interés técnico. Se ha fabricado una Lengua Electrónica voltamétrica de escalones de potencial capaz de detectar el oxígeno disponible presente en la disolución de poro del hormigón y el avance del frente de cloruros y del frente de carbonatación, que pueden considerarse las especies determinantes de los procesos de despasivación de las armaduras, que determinan el momento de la propagación de la corrosión en las estructuras de hormigón armado tal y como se define en el diagrama de Tuutti. Se ha creado un nuevo protocolo para la medida de la velocidad de corrosión neta del acero corrugado empleado como armadura de refuerzo en las estructuras de hormigón armado, para el sistema de monitorización INESSCOM, basado en el balance de cargas entre la medida de la velocidad de corrosión local realizada utilizando un equipo y protocolo previamente patentado con el valor de la medida de las corrientes de macropar registrada entre el sensor de corrosión y la estructura de refuerzo. Por otro lado, se ha adaptado el sistema para poder realizar medidas en estructuras existentes.