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Datos primarios asociados al artículo enviado a Personality Disorders: Theory, Research, and Treatment, Person-centered approaches in the field of personality allow greater understanding of how different subpopulations with specific personality profiles are linked with related clinically relevant predictors or outcomes. Studies under the Five Factor Model offer consensus on the observation of a Resilient, an Undercontrolled and an Overcontrolled profile. However, studies using maladaptive traits are much more limited. The present research aimed to identify personality profiles based on the 25 maladaptative facet and examined the relationships between the profiles and personality dysfunctioning, internalizing and externalizing symptoms. A mixed sample composed of community adults (n = 742) and patients (n = 312) completed the Personality Inventory for DSM-5 Short Form, the Inventory of Depression and Anxiety Symptoms-II, Externalizing Spectrum Inventory–Brief From, the 12 items Spanish version of the WHO Disability Assessment Schedule II and Level of Personality Functioning Scale-Brief Form 2.0. Latent profile analysis was performed to identify profiles based scores on the 25 maladaptive personality trait facets scales of the PID-5-SF. The scores on internalizing, externalizing and functioning were compared across the profiles obtained, by analyzing the equality of means. Four personality profiles that differed in both level and shape emerged: Resilient, Undercontrolled, Overcontrolled, and Ordinary type. The Overcontrolled and Undercontrolled types showed higher scores on pathology scales than the Resilient and Ordinary types. While the Overcontrolled profile appeared more related to internalizing symptoms and impairment in self-functioning, the Undercontrolled profile was more linked to higher scores on externalizing symptoms and interpersonal dysfunctioning., This work was supported by the grant “Reliable and clinical relevant change of Inventory of Depression and Anxiety Symptoms II – IDAS-II: a longitudinal clinical utility study (RELY-IDAS-II)”, project PID2020-116187RB-I00 on Proyectos I+D+i 2020 “Retos del Conocimiento” provided by Ministerio de Ciencia e Innovación (Spain).

Datos primarios asociados al artículo enviado a la revista Trabajo Social Global – Global Social Work, La muestra está conformada por 293 profesionales, en su mayoría mujeres de mediana edad y con una trayectoria profesional definida. Los resultados obtenidos permiten identificar el grado de conocimiento de los/as profesionales sobre competencias y herramientas digitales en un primer análisis descriptivo. Los resultados muestran un nivel adecuado de competencia digital en los/as profesionales, pero también señalan áreas donde se pueden mejorar como el uso de herramientas de visualización de datos o analítica y la comprensión de licencias de uso de contenidos digitales.

Base de datos para elaborar el diagnóstico del perfil de usuario de los servicios sociales comunitarios en la provincia de Huelva en relación al grado de uso y manejo de las nuevas tecnologías y su relación con los servicios sociales, Datos primarios asociados al artículo enviado a Plos One, Information and communication technologies have significantly transformed the way we relate, produce, provide services and consume in advanced societies. All areas of life are nowadays mediatised by technologies. However, the penetration of digitalisation in the development of and access to social services is much lower than in other aspects of social reality. The main objective of this work was to find out what the technological equipment is, how it is used and how citizens relate to the public administrations that provide social services through technology. It has been developed in a wider project on innovation in social services with participatory methodologies based on the development of local Hubs. The results obtained show the existence of a digital divide in access to social services through technologies that leave out precisely that population most in need of their benefits and aid., Consejería de Igualdad, Políticas Sociales y Conciliación de la Junta de Andalucía

[EN] These datasets were generated to train ("PopulationDrugsTrainingKrNaLCaL.xlsx") and test ("PopulationDrugsTestKrCaLNaL.xlsx") the uncertainty assessment models developed in the paper "Uncertainty assessment of proarrhythmia predictions derived from multi-level in silico models" by Kopanska, Rodríguez-Belenguer, et al., The authors received funding from the eTRANSAFE project, Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 777365, supported from European Union's Horizon 2020 and the EFPIA. We also received funding from the SimCardioTest supported by European Union’s Horizon 2020 research and innovation programme under grant agreement No 101016496. J.L.L. is being funded by the Ministerio de Ciencia, Innovacion y Universidades for the “Formacion de Profesorado Universitario” (Grant Reference: FPU18/01659). The work was also partially support by the Dirección General de Política Científica de la Generalitat Valenciana (PROMETEO/ 2020/043).

This repository contains the code used to generate the male and female population of models and simulate the different pharmacokinetic scenarios in Llopis-Lorente et al. (2023). Combining pharmacokinetic and electrophysiological models for early prediction of drug-induced arrhythmogenicity

Sustainability website indicators after scraping the websites of textile companies in the Comunitat Valencia region.

Quality of life indicators include measures of both objective and subjective well-being to broaden the traditional income-focused view towards a multidimensional view of welfare. In this paper, we develop a single reliable composite index that considers the effect of uncertainty and imprecision related to the specific nature of the phenomenon being measured. Additionally, we suggest a procedure for incorporating this new way of assigning priorities through multicriteria techniques. To this end, we propose a new multicriteria approach that introduces the recent notion of picture fuzzy sets to deal with uncertainty and imprecision in the assessment of objective and subjective dimensions of quality-of-life performance. To verify the effectiveness of the whole approach and the credibility of the results, we show its application for monitoring the quality of life in the European Union. Our results show that fuzzy numbers can be a useful tool when combined with multicriteria techniques in the prioritization phase of the criteria and that they increase the quality and reliability of the overall aggregate indicator. Moreover, we find that in a picture environment, the results are consistent regardless of the multicriteria approach used to provide a final ranking.

This dataset includes the raw data used to carry out a study related to the analysis of the DORA Declaration on Twitter. The dataset includes the tweets collected from the Twitter Academic API (comprising three collections: tweets published by DORA, tweets mentioning DORA, and tweets including a DORA-related hashtag), supplementary material (including extra tables and figures), and the script used to collect data from Twitch API.

The data were use to study the degradation of Methylparaben using WO3 Nanostructures. WO3 nanostructures were synthesized with different complexing agents (0.05 M H2O2 and 0.1 M citric acid) and annealing conditions (400 _C, 500 _C and 600 _C) to obtain optimal WO3 nanostructures to use them as a photoanode in the photoelectrochemical (PEC) degradation of an endocrine disruptor chemical. X-ray photoelectron spectroscopy was performed to provide information of the electronic states of the nanostructures. The crystallinity of the samples was observed by a confocal Raman laser microscope and X-ray diffraction. Furthermore, photoelectrochemical measurements (photostability, photoelectrochemical impedance spectroscopy, Mott–Schottky and water-splitting test) were also performed using a solar simulator with AM 1.5 conditions at 100 mW_cm-2. Once the optimal nanostructure was obtained, the PEC degradation of methylparaben was carried out. It was followed by ultra-high-performance liquid chromatography and mass spectrometry, which allowed to obtain the concentration of the contaminant during degradation and the identification of degradation intermediates.

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.