BUSCADOR RECOLECTA

Supplementary Table S1. List of oligos used in this study

EGGNOG-mapper results from Botrytis cinerea UCA992

Source code is available here: http://drpantera.github.io/gsiege, Data obtained in 10 leagues (different random seeds) of Gades Siege with 2 cohorts of students It suppors the results reported in the paper "Assessment in Software Development for Competitive Environments: an AI strategy development case study"

Supplementary Table S3. Homologous protein to BcStc4 protein identified in other fungus by Blastp

Supplementary Table S4. The top 55 homologous protein to XP 038807933

Supplementary Table S8. B. cinerea B05.10 and B. deweyae B1 protein distribution according to the annotation with KEGG, COGs, CAZy, TCDB and E.C. database

These files contain the raw measurement data reported for the Radiomag interlaboratory comparison of magnetic hyperthermia characterisation measurements. Each heating curve for samples containing magnetic nanoparticles is presented in a separate excel file detailing the corrected-slope technique (CST) recalculation of the specific loss power and intrinsic loss power for that measurement as described in the manuscript. The measurements are organised into separate folders for Rounds 1 and 2 of the interlaboratory study, with further subfolders dividing the results for samples 1 and 2. Round 2 also includes the results for the “blank” pure water sample which was included in this Round. For each laboratory there is 3 repeated measurements of each sample during each round the study.

During youth, individual psychological differences contribute to varying levels of vulnerability to mental health issues. Sensory Processing Sensitivity (SPS) may be one such factor, with emotional regulation difficulties potentially acting as a mediator. This study aimed to explore the mechanisms linking SPS to internalizing and externalizing symptoms through emotional regulation difficulties in a young population, with a detailed analysis for both males and females. A total of 548 Spanish individuals (65.15% female), aged 14 to 30 years, participated in this cross-sectional study conducted between March and May 2024. Results indicated that young individuals with higher SPS levels exhibited greater emotional regulation difficulties (i.e., emotional rejection, life interference, lack of control, and emotional confusion) and experienced more internalizing symptoms, regardless of gender. Emotional confusion was associated with higher internalizing problems across both genders. Individuals with difficulties in lack of control reported increased internalizing and externalizing symptoms. Males experiencing greater life interference exhibited more externalizing symptoms, while females facing greater challenges in emotional rejection, life interference, and emotional confusion showed higher levels of internalizing symptoms. In females, difficulties in emotional rejection, emotional confusion, and lack of control partially mediated the relationship between SPS and internalizing symptoms, while lack of control fully mediated the relationship between SPS and externalizing symptoms. These findings have practical implications for the development of prevention and intervention programs aimed at improving youth mental health

This dataset from the publication entitled "Dataset from "In silico assessment of collateral eddy current heating in biocompatible implants subjected to magnetic hyperthermia treatments" contains simulated data of magnetic hyperthermia treatments for three different indications: colorectal cancer, prostate cancer and head & neck cancer. Since the aim of the study is to evaluate the risk of thermal damage caused by the collateral heating of two common types of passive prostheses (hip and dental implants), eddy currents induced in these implants upon interacting with the externally applied ac field during treatment have been computed for all the evaluated regions. Two different alloys for the implants have been considered for each case as well: Ti6Al4V and CoCrMo. At the same time, besides temperature, the specific abosorption rate (SAR) have been also computed to work out the energy deposition in tissues. Calculations have been carried out using a het exchange model with and without thermoregulation. log-log SAR vs T plots have been obtained and proposed as a quick means to pre-check treatment feasibility in each patient. These graphs are thought to be included in treatment planning prior to the clinical procedure. Other parameters taken into account have been the treatment time (5 and 30 minutes), and the maximum tolerable temperature threshold (1 or 5 ºC, as indicated by the ICNIRP commission), all for three main types of tissues, namely fat, bone and muscle. Each tissue have been simulated using three different field intensities (5, 10 and 15 mT). The field frequency has been 300 kHz in all cases. The files "Dataset_description.doc" and "file_scheme.txt" contain the structure and description of the files that make up the dataset. UPDATES FROM PREVIOUS VERSIONS: simulations of the dental implant without thermoregulation have been added.

Se presenta una adenda con datos construidos y analizados que es continuación del Proyecto de Cooperación Universitaria al Desarrollo “Diseño y aplicación de un modelo difuso aplicación de un modelo difuso para la medición de la pobreza multidimensional causada por COVID-19 en el Perú” (AACID, 2021), realizado por investigadores de la Universidad de Cádiz y de la Universidad Nacional de Trujillo en 2022-2023. Los datos se refieren al total de familias encuestadas – y no a una muestra o selección de familias - de Santiago de Chuco (en el Departamento de La Libertad, Perú), encuestas que forman parte de las Encuestas Nacionales de Hogares (ENAHO) realizadas por el Instituto Nacional de Estadística e Informática del Perú, INEI, correspondientes a los años de 2019 y 2021, que han constituido el punto de partida para la construcción de datos y el análisis realizado en proyecto mencionado. En las ENAHO se analizan una serie de dimensiones e indicadores reflejadas en el Doc 1, y cuyo consolidado en los años de estudio se contiene en el Doc 2, y a los datos resultantes del análisis se ha aplicado la función de pertenencia establecida en el modelo difuso diseñado en el proyecto conforme al Doc 3.