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Soluble sST2 isoform is related to cardiotoxicity. Led by the Lax´s team, preliminary data have identified for first time a relationship between higher sST2 levels and YY1 with CIC, using an in vitro translational model

Cantharidin is a natural compound with known therapeutic applications in humans. However, its properties have hardly been studied in fish. The aim of this study was to investigate the in vitro effects of cantharidin on gilthead seabream (Sparus aurata) head kidney leucocytes (HKL) stimulated with λ-carrageenan. Thus, HKLs were incubated for 24 h with cantharidin (0, 2.5 and 5 μg mL-1) and λ-carrageenan (0 and 1,000 μg mL-1) and cell viability and morphology, immunological parameters and several selected genes related to inflammation and apoptosis were evaluated. The results showed that cantharidin only decreased HKL viability when incubated with the highest dose (5 μg mL-1) and in combination with λ-carrageenan. As for the immunological parameters studied, cantharidin increased the peroxidase activity of HKLs only when incubated in combination with λ-carrageenan, but inhibited the respiratory burst and phagocytic activities even after being previously increased by λ-carrageenan. Furthermore, cantharidin induced morphological changes in HKLs with apoptotic and vacuolization signs that were enhanced when incubated in combination with λ-carrageenan. Considering the analysis of gene expression in HKLs, although λ-carrageenan up-regulated the expression of the proinflammatory gene il1b, cantharidin down-regulated its expression in HKLs exposed to both λ-carrageenan and cantharidin. In addition, cantharidin up-regulated casp3 and casp9 expression, which was down-regulated in HKLs incubated with both molecules. This combination also up-regulated casp1 expression. The present results provide detailed insight into the immune-depressive and anti-inflammatory properties of cantharidin on immune cells, which could be of interest to the aquaculture sector.

Se trata del conjunto de datos del artículo Análisis documental sobre los riesgos y las posibilidades de internet para los menores. Pautas educativas dirigidas a familias https://doi.org/10.6018/riite.430341, Item en revisión. Pendiente de cumplimentar metadatos.

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The S3 dataset contains the behavior (sensors, statistics of applications, and voice) of 21 volunteers interacting with their smartphones for more than 60 days. The type of users is diverse, males and females in the age range from 18 until 70 have been considered in the dataset generation. The wide range of age is a key aspect, due to the impact of age in terms of smartphone usage. To generate the dataset the volunteers installed a prototype of the smartphone application in on their Android mobile phones. All attributes of the different kinds of data are writed in a vector. The dataset contains the fellow vectors: Sensors: This type of vector contains data belonging to smartphone sensors (accelerometer and gyroscope) that has been acquired in a given windows of time. Each vector is obtained every 20 seconds, and the monitored features are: - Average of accelerometer and gyroscope values. - Maximum and minimum of accelerometer and gyroscope values. - Variance of accelerometer and gyroscope values. - Peak-to-peak (max-min) of X, Y, Z coordinates. - Magnitude for gyroscope and accelerometer. Statistics: These vectors contain data about the different applications used by the user recently. Each vector of statistics is calculated every 60 seconds and contains : - Foreground application counters (number of different and total apps) for the last minute and the last day. - Most common app ID and the number of usages in the last minute and the last day. - ID of the currently active app. - ID of the last active app prior to the current one. - ID of the application most frequently utilized prior to the current application. - Bytes transmitted and received through the network interfaces. Voice: This kind of vector is generated when the microphone is active in a call o voice note. The speaker vector is an embedding, extracted from the audio, and it contains information about the user's identity. This vector, is usually named "x-vector" in the Speaker Recognition field, and it is calculated following the steps detailed in "egs/sitw/v2" for the Kaldi library, with the models available for the extraction of the embedding. A summary of the details of the collected database. - Users: 21 - Sensors vectors: 417.128 - Statistics app's usage vectors: 151.034 - Speaker vectors: 2.720 - Call recordings: 629 - Voice messages: 2.091

Conjuntos de datos de encuesta semiestructurada a creadores e intérpretes de música, profesionales y no profesionales. Muestra internacional. Cuestionarios en inglés y español, Este artículo tiene como objetivo investigar acerca de los retos que supone la Inteligencia Artificial (IA) en la industria musical desde la perspectiva de la sostenibilidad de los modelos de negocio que gestionan la creación de valor en la industria y su relación con la percepción de los compositores/letristas y los artistas intérpretes o ejecutantes, entendidos como actores clave en el proceso de creación de valor. Para ello, los autores han desarrollado una encuesta semiestructurada dirigida a una muestra internacional cualitativamente representativa de creadores e intérpretes, tanto profesionales como amateurs. Como principales resultados, el artículo concluye en primer lugar, que la IA viene a intensificar algunas de las problemáticas puestas de manifiesto en la consolidación del modelo de las plataformas de streaming, en particular respecto a sus dos grandes desafíos de sostenibilidad (el desplazamiento del valor de la creación a la tecnología y la homogeneidad creciente de su inventario, con implicaciones para la diversidad cultural y la creatividad). Por otro lado, se pone de manifiesto que la IA generativa parece tener un impacto especialmente relevante en las fases de creación y consumo, afectando a los ámbitos y posibilidades de creación de valor de los músicos, compositores e intérpretes y de las experiencias de uso y consumo de música. La perspectiva de las personas creadoras ofrece una visión que conjuga incertidumbre y pesimismo, caracterizando las innovaciones tecnológicas como acelerantes de las disfunciones del modelo de las plataformas de streaming y resultando en la eventual devaluación de la profesión artística y de la propia creatividad y la diversidad cultural. La regulación de los marcos de aplicación de la IA en este contexto y el establecimiento de un marco que facilite la capacidad de elección por parte de los usuarios entre “creatividad artificial” y “creatividad natural” por parte de la son planteadas como vías de solución parciales. Con todo, dado que la industria musical constituye uno de los sectores de las industrias creativas con un proceso de transformación digital más acelerado la exploración de las problemáticas y desafíos derivados de la integración de la IA en sus procesos constituye sin duda una fuente valiosa para la comprensión de otros ámbitos del contenido digital.

Datos de la Investigación, ©2021. This manuscript version is made available under the CC-BY 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the Published, version of a Published Work that appeared in final form in Psicoperspectivas. To access the final edited and published work see https://dx.doi.org/10.5027/psicoperspectivas-vol20-issue3-fulltext-2364, Este documento en el que se recogen las salidas de SPSS que generan los análisis necesarios para poder desarrollar el artículo, ha sido elaborado con la finalidad de facilitar la transparencia en la investigación científica, aportando mayor validez ética y contribuyendo de este modo a su difusión y replica. El artículo derivado de estos datos es: Belmonte, M. L., Álvarez, S., y Hernández-Prados, M. Á. (2021). Beneficios del ocio familiar durante el confinamiento. Psicoperspectivas, 20(3), 67-79. https://dx.doi.org/10.5027/psicoperspectivas-vol20-issue3-fulltext-2364

The specific fatty acid profile of fish can vary depending on species, age, diet and other factors. However, in general, fish are generally rich in long-chain polyunsaturated fatty acids (LC-PUFA), such as eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). Liver, skin, meat and fish mucus can contain different levels and types of fatty acids. In fact, each of these tissues can provide valuable information about the fatty acid profile of the whole fish. In order to establish a non-invasive method to assess the lipid profile of fish tissues, twenty-four European sea bass (Dicentrarchus labrax) were fed two different diets [containing different PUFAs profiles] for 30 days. Samples of cutaneous mucus, skin, flesh and liver were then obtained and their fatty acid profile was analyzed by gas chromatography. Multidimensional scaling (MDS), SIMPER procedure (similarity percentages) and permutation test (PERMANOVA) were performed. The results indicate that there are similarities in the fatty lipid profile of skin and liver, as well as between skin and liver mucus. Relationships have been observed between the fatty acid compositions of the different fish tissues, in particular between liver and skin, where linoleic acid (18:2n-6) is the most significant, which would allow the skin to be used as a proxy to infer the hepatic lipid profile, without the need to sacrifice the animals