Resultados de investigación

We performed a conditional ablation of Wt1 in the myocardium of mice embryos. RNASeq analysis identified differential expression of 137 genes in the E13.5 mutant heart as compared to controls. We provide raw data about the validation by qPCR of four of these genes as well as raw data about differences in proliferation and thickness of the ventricular myocardium. These raw data allowed for elaboration of the figures included in our paper entitled "Deletion of the Wilms’ tumor suppressor gene in the cardiac troponin-T lineage reveals novel functions of WT1 in heart development", published in Frontiers in Cell and Developmental Biology, The original paper was supported by: Spanish Ministry of Economy, Industry and Competitivity (BFU2017-83907, PID2019-107492GB-I00), Consejería de Salud, Junta de Andalucía (PC0066‐2017/PC-0081-2017), Instituto de Salud Carlos III-TERCEL network (RD16/0011/0030), Consejería de Economía y Conocimiento, Junta de Andalucía (UMA18-FEDERJA-146 and FEDER-UJA).

Data compiled and processed by the authors from publicly available sources (MICIU and IUNE).

The archive contains the SAS code to analyze the performance of the F-statistic, and Greenhouse-Geisser (F-GG) and Huynh-Feldt (F-HF) F adjustments in terms of Type I error and power with non-normal data under violation of sphericity., Ministerio de Ciencia e Innovación, PID2020-113191GB-I00

La base de datos está compuesta por 56 registros, correspondientes a distintos sujetos participantes en el estudio, y 16 variables que recogen información demográfica, antropométrica y de rendimiento físico. Variables incluidas Sujeto: Identificador anónimo de cada participante. Protocol: Tipo de protocolo experimental aplicado (por ejemplo, CMR). Body Mass (kg): Masa corporal del sujeto. Age (años): Edad del participante. Stature (cm): Estatura del sujeto. BMI (kg/m²): Índice de masa corporal. Pre-CMJ (cm): Altura del salto con contramovimiento antes de la intervención. Post-CMJ (cm): Altura del CMJ inmediatamente después de la intervención. 15 m Post CMJ (cm): Altura del CMJ 15 minutos después de la intervención. Reps.: Número total de repeticiones realizadas durante el protocolo. RPE Post: Percepción subjetiva del esfuerzo inmediatamente tras la intervención (escala RPE). RPE 15 min POST: Percepción subjetiva del esfuerzo 15 minutos después. FC Max (lpm): Frecuencia cardíaca máxima registrada. FC Media (lpm): Frecuencia cardíaca media durante el protocolo. delta CMJ (cm): Diferencia entre el CMJ pre y post intervención, utilizada como indicador del cambio en el rendimiento., La presente base de datos recoge información antropométrica, fisiológica y de rendimiento físico obtenida en un grupo de sujetos adultos sometidos a un protocolo experimental relacionado con el consumo de cafeína. El conjunto de datos incluye mediciones previas y posteriores a una intervención, evaluando principalmente el rendimiento en el salto con contramovimiento (Countermovement Jump, CMJ), la percepción subjetiva del esfuerzo y variables de frecuencia cardíaca. Esta base de datos está destinada a facilitar el análisis del efecto agudo de la cafeína sobre el rendimiento neuromuscular y la respuesta fisiológica en un contexto de ejercicio físico controlado.

Alcohol Use Disorder (AUD) is a highly prevalent psychiatric and represents a significant public health challenge. Naltrexone (NTX), a mu-opioid receptor antagonist widely used for AUD treatment, has limited efficacy due to side effects and variability in patient response. Interactions between the full-length GAL molecule and the opioid system have been demonstrated. In our recent studies, we showed that the Galanin (1− 15) fragment [GAL (1− 15)] decreased alcohol seeking along with alcohol consumption. This study aims to examine the effects of GAL(1− 15)+NTX on alcohol-seeking behavior and alcohol consumption, as well as the involvement of the mesolimbic system. In rats, we assessed GAL(1− 15)+NTX in reward-seeking and the role of GALR2 using the antagonist M871 in the self-administration test. In addition, GAL(1− 15)+NTX effects were studied on voluntary alcohol using the two-bottle choice paradigm. Locomotor activity and stereotyped behaviors, along with dopa- mine release in the dorsal striatum following alcohol injections, were assessed. Moreover, we have analyzed the transcriptional changes of C-Fos, MOR, POMPC, and dopamine receptors in the ventral tegmental area, nucleus accumbens and the hypothalamus. GAL(1− 15)+NTX combination reduced alcohol seeking in self-administration and two-bottle choice consumption, with GALR2 involved in the effect. In addition, GAL(1− 15)+NTX attenuated alcohol-induced locomotor activity and stereotyped behaviors linked to reduced dopamine release in the dorsal striatum. Notably, these effects were associated with C-Fos, MOR, and dopamine receptor changes, suggesting that the mesolimbic pathway, including the opioid system, is involved in GAL(1− 15)+NTX effects. These results open up the possibility of using GAL(1− 15) with NTX as a novel strategy in AUD.

Datos pertenecientes a una investigación sobre robustez del ANOVA de medidas repetidas bajo ausencia de normalidad., Proyecto PID2020-113191GB-I00 del MCIN/AEI/ 10.13039/501100011033

Se presenta un programa de simulación para analizar el impacto de la violación de la normalidad, esfericidad y homogeneidad de diversas pruebas estadísticas en diseños split-plot, PID2020-113191GB-I00

This work is part of the R+D+i projects “Development and monitoring of pre-service and novice science teachers’ teaching identity. Study of the influence of the inquiry processes, emotional and gender profiles (INQUIRY-IDEG)” (reference PID2022-140001OA-I00), funded by MICIU/AEI/1.13039/501100011033 and FEDER (UE) and “Visibility of UMA STEM researchers in pre-service teacher training. Perception and aping as strategies towards the inclusion of the gender perspective in STEM education” (reference JA-B2-02), funded by IIPPIT UMA. Dr García-Ruiz thanks the RYC2020 program (reference: RYC2020-029033-I), funded by MICIU/AEI/1.13039/501100011033 and ESF “Investing in your future”., Analysis of PSTs' gender perspective in STEM education. It includes the quantitative dataset, the R-syntax description used in the analysis and the readme file, IIPPIT UMA, R+D+i project PID2022-140001OA-I00, R+D+i project JA-B2-02, RYC2020 program RYC2020-029033-I

Datos de investigación correspondiente a fortalezas de carácter en cuidadores de personas diagnosticadas de demencia

This package provides the DEM-AIA (Digital Elevation Map – Any-Angle Inclination-Aware) trajectory planner for unmanned ground vehicles (UGVs). The planner computes feasible and efficient trajectories over digital elevation models (DEMs), explicitly considering: - Terrain slopes (pitch and roll). - Vehicle dynamic and geometric constraints (speed, center of gravity, length, width, slope tolerance). - Any-angle variant of the A* algorithm for more realistic and shorter paths. - Optional heuristic search and node re-expansion. The distribution includes both synthetic and real DEMs, MATLAB source code, precompiled MEX binaries, and a test script., Metadata: - Application domain: Off-road robotics, terrain-aware trajectory planning. - Data type: Digital Elevation Models (DEMs). - Format: MATLAB .mat. - Spatial resolution: depends on the selected DEM. - Units: meters (altitude and coordinates). - Restrictions: Distributed MEX files only run on MATLAB R2021b (Windows x64). Recompilation is required for other versions or platforms., Planning safe and effective trajectories for off-road unmanned ground vehicles (UGV) is a critical Artificial Intelligence (AI) challenge that can benefit from recent advances in digital elevation models (DEM) for readily capturing accurate terrain geometry. Considering path slopes is crucial to preserve stability and assess terrain traversability at feasible speeds to optimize travel time, which is highly dependent on direction (i.e., pitch and roll). In this article, we propose a new DEM-based asymmetric inclination-aware (DEM-AIA) trajectory planner for ground vehicles. The planner is an any-angle variant of the A algorithm that computes pitch and roll estimations for each segment crossing cell triangles in the line-of-sight. Furthermore, we define a non-linear velocity constraints function that integrates information about tip-over safety limitations, maximum uphill and downhill slopes for the vehicle, and asymmetric modulation of nominal flat-ground velocity for all pitch and roll combinations. The planner produces a time sub-optimal trajectory with feasible speed references for each segment crossing a cell triangle. Moreover, we provide an extensive experimental analysis of inclination-aware performance on simulated and real-world DEMs as well as a comparison with state-of-the-art path planners adapted to travel-time optimization. An executable version of the planner with parameterizable variations is publicly available.