Resultados de investigación

The global COVID-19 spread has forced countries to implement non-pharmacological interventions (NPI) to preserve health systems. Spain is one of the most severely impacted countries, both clinically and economically. In an effort to support policy decision-making, Candel et al.(2021) [https://dx.doi.org/10.2139/ssrn.3745801] have developed a modified Susceptible-Exposed-Infectious-Removed (SEIR) epidemiological model to simulate the pandemic evolution. Its output was used to populate an economic model to quantify healthcare costs and GDP variation, through a regression model which correlates NPI and GDP change from 42 countries. The dataset contains information on the main variables used in order to specify and estimate this predictive model.

The data reported in the dataset refer to the final accumulation of grain weight, grain size, β-glucan, arabinoxylans, phenolic compounds and their antioxidant capacity in fully mature grains for four barley genotypes under two contrasting temperatures during two consecutive seasons.

The increase in high-intensity training (HIT) guidelines and the use of hyperproteic diets (HPDs) as a treatment of excess weight in adults have generated interest in their effects on body composition, metabolic profile and muscular strength. So, the objective of this study was to determine the effects of HIT together with an HPD on the body composition, muscle metabolism and muscle strength of overweight or obese subjects. According to that, a standardized search of randomized controlled trials was carried out considering: 1) application of a HIT protocol, 2) compliance with an HPD and 3) their combined application in non-active overweight or obese subjects. Screening was then carried out by two independent researchers, following the criteria in the Cochrane handbook for systematic reviews of interventions. Data was extracted from the 8 studies selected which were systematically reviewed, and subsequent meta-analysis was performed. A statistically significant decrease in body fat (6 studies which included n=294 subjects; MD -0.56 kg; 95% CI -0.90 to -0.22 kg; p=0.001; I2 =18%; Χ²=6.08; p=0.30) and an increase in lean body mass (7 studies which included n=370 subjects; MD 0.37 kg; 95% CI 0.02 to 0.72 kg; p=0.04; I2 =55%; Χ²=13.42; p=0.04) were detected. Sensitivity analysis confirmed the significance of these results. No statistically significant changes were observed in any of the other variables studied. Despite the statistically significant decrease in body fat and increase in lean body mass, not statistically or clinically significant improvements were observed in the other variables, not even in those where favorable changes had been reported in previous studies. For obtaining more conclusive results in future meta-analysis, it will be necessary to carry out new studies with less variable and better-defined HIT and HPD protocols in order to increase comparability. These studies should control subjects’ diet conveniently, especially protein and energy intake.

This dataset contains the raw data of the experiments described in the paper "Transplanting rejuvenated blood stem cells extends lifespan of aged immunocompromised mice" by Montserrat-Vazquez, Noelle, Matteini et al., as well as the code used to analyse the single-cell RNA sequencing (scRNA-seq) data, the raw count matrices and all the output obtained from running the code. scRNA-seq was applied on sorted Lin- Sca1+ cKit+ (LSK) cells from the bone marrow of young, aged and aged CASIN-treated C57Bl6 mice and the raw FASTQ files can be found under the GEO accession number GSE197070. The code is in an easily reproducible format, as Rmarkdown and jupyter notebooks that contain comments that describe all the steps in the analysis. To start reproducing it, download all the files, open the .Rproj file in an Rstudio session and start following the instructions in the file "LSK_scRNAseq_data_analysis.Rmd".

JavaScript code to be implemented in Google Earth Engine(c) for automated detection of archaeological mounds in Cholistan (Pakistan) using machine-learning classification of multisensor and multitemporal satellite data.

Benchmark for End-User Structured Data User Interfaces (BESDUI) based on the Berlin SPARQL Benchmark (BSBM) but intended for benchmarking the user experience while exploring a structured dataset, not the performance of the query engine. BSBM is just used to provide the data to be explored. This is a cheap User Interface benchmark as it does not involve users but experts, who measure how many interaction steps are required to complete each of the benchmark tasks, if possible. This also facilitates comparing different tools without the bias that different end-user profiles might introduce. The way to measure this interaction steps and convert them to an estimate of the required time to complete a task is based on the Keystroke-Level Model (KLM)

The files contained in this dataset correspond to the neuroimaging data and experimental paradigms performed in a patient undergoing awake brain surgery for tumor removal in February 2020 at the Hospital Universitari de Bellvitge. In general terms, the experimental paradigm consisted in the presentation of the words ROJO (red in Spanish) or AZUL (blue in Spanish) printed in either red or blue ink color. The patient was instructed to press either a left or right button when the ink color was either red or blue, respectively, ignoring the word itself. After each trial, a visual feedback was presented showing either a green tick (correct feedback) or a red cross (incorrect feedback), which could either be congruent or incongruent with respect to the patient's performance. This task was performed during the acquisition of functional magnetic resonance imaging (fMRI), to detect relevant brain areas for feedback processing in terms of blood oxygenation levels, as well as during electrical stimulation mapping (ESM), which consists of applying an electrical current in the brain surface during the realization of a functional task inside the operating room during awake brain surgery procedures.

Desarrollamos un formulario en línea utilizando Formularios de Google para recopilar información sobre aspectos socioeconómicos y de seguridad alimentaria en los hogares en siete países (Brasil, Colombia, Ecuador, Paraguay, Perú, Uruguay y Venezuela), abarcando un total de 18.997 hogares. Se solicitó a los participantes que proporcionaran información sobre el número de residentes, el ingreso mensual total (en moneda nacional) y el estado de la seguridad alimentaria y nutricional (SAN) utilizando la Escala de Experiencia de Inseguridad Alimentaria (FIES) (Cafiero et al., 2018) desarrollada por la FAO. El método FIES consta de ocho preguntas que contienen una escala graduada de severidad de la IF (Leve: 1-3; Moderada: 4-6; y Grave IF: 7-8). Para capturar los efectos de la pandemia, se preguntó a los encuestados sobre el nivel de IF en sus hogares durante dos períodos: A) prepandemia (noviembre-diciembre de 2019); y B) durante la pandemia (mayo-diciembre de 2020). La encuesta fue distribuida por voluntarios a través de aplicaciones de mensajería y redes sociales. Se animó a los participantes a convertirse en voluntarios y compartir el enlace de la investigación en sus redes después de completar el cuestionario, integrando así el método de reclutamiento por muestreo de bola de nieve. El muestreo se limitó a zonas con acceso a internet, ya que las normas de salud y seguridad impidieron la interacción presencial durante el período de recolección de datos. En 2020, aproximadamente el 74 % de la población de Sudamérica tenía acceso a internet (World Bank, 2021). Se empleó una técnica de muestreo estratificado para abordar el posible sesgo de selección, con una mayor densidad de muestreo en las zonas urbanas. La conectividad promedio a internet en las zonas rurales es aproximadamente la mitad que en las zonas urbanas (Ziegler et al., 2020). Por lo tanto, solo el 22 % (n = 4179) de los hogares se muestrearon en municipios con menos de 50 000 habitantes, con proximidad e influencia de las zonas rurales. La encuesta se dirigió a personas mayores de 18 años. Se eligió Google Forms por su accesibilidad gratuita y su versatilidad, además de no requerir una conexión a internet de alta velocidad. El formulario se pudo completar tanto en computadoras como en teléfonos inteligentes.

La malaria es una enfermedad causada por parásitos del género Plasmodium, que generalmente se transmiten entre mosquitos y humanos o primates no humanos. Sin embargo, se sabe poco sobre el papel de otros mamíferos silvestres como portadores de estos parásitos, especialmente en bosques tropicales remotos. Esta base de datos proporciona información sobre los análisis moleculares de ADN (PCR anidada dirigida al gen mitocondrial cytb y cox3 de Plasmodium spp.) en muestras de sangre de coatíes (Nasua nasua) y armadillos (Dasypus novemcinctus) de vida libre en la Amazonía peruana.

This database covers creative department professionals featured in Spanish campaigns published by Anuncios magazine in 2019 (pre-pandemic). It details the publication date, the creative's name (1,319 individuals), gender, role, seniority (management level), LinkedIn profile, advertising agency, agency type (independent vs. multinational), city, brand, sector, campaign title, and a link to the original feature in Anuncios