Resultados de investigación

This repository contains four Excel 2017 files named “APD.xlsx”, “QT.xlsx”, “Tx_APD.xlsx” and “Tx_QT.xlsx”. APD.xlsx and Tx_APD.xlsx files contain three sheets (called “Epi”, “Mid” and “Endo”), whereas the rest contain only one sheet (called “QT”). These files contain the results of simulations performed in the O’Hara-Rudy model (ORd) [1] of human ventricular cells (206.766 simulations) and tissue (7072 simulations), which consist of APD90 and QT intervals as well as a new index called Tx extracted from both APD and QT values. References: [1]. O’Hara, T.; Virág, L.; Varró, A.; Rudy, Y. Simulation of the Undiseased Human Cardiac Ventricular Action Potential: Model Formulation and Experimental Validation. PLoS Comput. Biol. 2011, 7 (5), e1002061. [2]. Romero L., Cano J., Gomis-Tena J., Trenor B., Sanz F., Pastor M., Saiz J. In silico QT and APD Prolongation Assay for Early Screening of Drug-Induced Proarrhythmic Risk. Journal of Chemical Information and Modeling. 2017 (Currently in revision).

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.

[EN] Evolution of particulate matter concentration (measured using TEOM device) depending on animal age, time of day and activity index (measured by direct observation).

Typical organisational goals promoted by knowledge management (KM) are being complemented with resilience-related objectives in many organisations worldwide. The need for resilience goes beyond companies, reaching their supply chains in a concept known as enterprise and supply chain resilience (ESCR). In complex times where organisations must learn to deal with disruptive events (DEs), ranging from internal events like inventory stockouts to external events, such as pandemics and wars, knowledge sharing becomes critical. Presenting a teaching case (TC) developed using instructional design principles, which aims to teach ESCR in real-world scenarios, is the main objective of this work. The proposed TC has clear goals, objectives, and learning outcomes, it intends to engage the students in situations that require problem-solving and decision-making. It is an open problem case with multiple perspectives where solutions can vary since DEs are difficult to predict and manage. The case includes detailed context information for the reader to understand and diagnose the situation and, after that, develop and create an action plan and a logic model to solve the problems related to the critical elements of the case. The TC presents a real-life situation, through the present dataset, where an organisation and its supply chain are facing a critical incident, an impactful DE, which is causing severe problems to the flow of products between customers and suppliers. This case has no unique answer, and the solutions require critical thinking., The authors would like to acknowledge the support of the researchers participating in the project “Business Continuity Managers Training Platform” (CONTINUITY) (business-continuity-project.eu).

[EN] The dataset contains the data that have been obtained during the synthesis and the characterization (chemical and photoelectrochemical) of TiO2/ZnO2 hybrid nanosponges used as photoanodes for photoelectrochemical applications. TiO2/ZnO2 hybrid nanosponges were obtained by electrodeposition of ZnO on TiO2 nanosponges with different times (15 min, 30 min, and 60 min), temperatures (25ºC, 65 ºC, and 75 ºC) and Zn(NO3)2 concentrations (0.5-10 mM). A chemical characterization was performed using X-Ray Photoelectron Spectroscopy (XPS) and Grazing Incidence X-Ray Diffraction (GIXRD). Electrochemical characterization of nanosponges was performed by Photoelectrochemical Water Splitting (PWS).

The collated data correspond to the parameters to estimate the resources consumption and the emissions to the environment from the main farming activities (resources consumption and emissions from infrastructure building and management, fertiliser and pesticide production, on-field fertiliser and pesticide emissions, fuel consumption from machinery use, and irrigation), together with the environmental impacts of the unit processes (e.g. electricity mix, production of agricultural inputs) required to assess the environmental impacts from a panel of reference holdings at the main NUTS 2 in Spain., The authors gratefully acknowledge both the Universitat Politècnica de València for providing the funds for N.K. Sinisterra-Solís’s research contract through Subprogram 1 (PAID-01-18).

The data are related with the preparation of electrodes based on WO3 nanostructures used as anode materials for Li-ion batteries. The nanostructured WO3 thin film was effectively synthesized by an electrochemical procedure. Then, an annealing treatment at 600◦C in air environment for 4 h was carried out. In the second electrode synthesized, a carbon layer was uniformly deposited on WO3 nanostructures to obtain a WO3/C electrode. Finally, WO3/WS2 electrodes were prepared by means of in situ sulfurization of WO3 one-step solid-state synthesis using tungsten trioxide (WO3) and thiourea as precursor material. By using X-ray photoelectron spectroscopy, X-ray diffraction analysis and Raman spectra, the three electrodes have been morphologically characterized. Electrochemical properties were analysed by cyclic voltammogram, galvanostatic charge/discharge cycling, and electrochemical impedance spectroscopy.

This dataset includes the raw data collected from two Open Access megapublisher websites (mdpi.com and frontiersin.org) across several SEO tools (Ahrefs, Semrush, SERPstats, Ubersuggest, Sistrix). From each domain name, SEO-level metrics (e.g., organic keywords, global traffic, traffic by country) were collected and structured.

[EN] This dataset includes, as supplementary material, the detailed calculations and expert questionnaires required to carry out the prioritization of Ecosystem Services in three wetlands in Spain, aggregating expert opinions and using the Analytic Network Process (ANP) method.

Twitter dataset for a research on the 2015 Spanish General Election. The tweets were obtained through the Twitter API's Search function since November 2 to December 21, 2015. Three criteria for filtering tweets were established: two general terms linked to the elections ("#20D", "20-D"); the name and usernames of the four main parties (PP, PSOE, Podemos and Ciudadanos), and the name and usernames of the four candidates from those parties. The research assessed the tweet's issue according to Patterson (1980)'s typology for evaluating political mediatisation. The dataset contains three files: the unlabelled collection of the 15.8 million tweet ids obtained through the API, the annotated sample of the 3,117 tweet ids for assessing the issue via machine learning, and the readme.txt file. It is recommended to open the file from a text editor or through a script. The id_str must be handled as a string. If the file is open from Excel, the id_str will be interpreted as a number, and then converted into a float, losing information in this transformation