Resultados de investigación

Risk perception is a cognitive process that relies on each person's information, about different issues such as contexts, other people, objects, and which is processed immediately, organising a judgement or value that will condition their behaviour. The aim of this study is to carry out an exhaustive analysis of the psychometric properties of the COVID-19 Pandemic Risk Perception Scale (PRPS). The sample was 405 healthcare professionals ranged between 22 and 65 years, belonging to the hospital emergency services and the critical care unit in southern Spain. A descriptive cross-sectional study was carried out. In order to obtain evidence of validity based on the internal structure of PRPS, we conducted a confirmatory factor analysis (CFA). A reliability analysis was performed, calculating the McDonald’s omega coefficient (ω), and an item analysis was also performed, calculating the corrected item-total correlation coefficient. Finally, evidence of validity based on the relationship with other variables was obtained. The results of the CFA supported a unidimensional structure of the PRPS. The reliability of the test scores was .95. Evidence of validity was provided by a positive correlation between the PRPS score and the Patient Health Questionnaire (PHQ-9), and by a negative correlation between the PRPS score and the reduced version of the Spanish adaptation of the Psychological Well-Being Scale (PWBS). The results indicate that the Pandemic Risk Perception Scale (PRPS) has shown adequate psychometric properties, which makes it a useful instrument in the context of health professionals, postulated as an easy and brief tool to complete., Sin financiación.

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., This work was supported by grants awarded by Ministerio de Sanidad del gobierno de España, Delegación del Gobierno para el Plan Nacional sobre Drogas, Fondos de Recuperación, Transformación y Resiliencia (PRTR) Unión Europea EXP2022/008766, by Ministerio de Ciencia e Innovación del gobierno de España PID2020–114392RB-I00/AEI/10.13039/501100011033, and by Universidad de Málaga PPRO-B4–2024–010.

Exploratory analysis (Principal Component Analysis) and hierarchical cluster analysis of a questionnaire about personal and contextual factors shaping science and technology pre-service teacher professional identity. It includes the dataset, the readme file and the R-code used in the analysis, R+D+i Project “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), RYC2020 program (reference: RYC2020- 029033-I), funded by MICIU/AEI/1.13039/501100011033 and ESF “Investing in your future”

Supplementary data. Fractal dimension (Df) and whorl perimeter (Wp) in millimeters for the ammonoid genera studied are supplied as an excel file, Fractal dimension (Df) and whorl perimeter (Wp) in millimeters for the ammonoid genera studied are supplied as an excel file, Universidad de Málaga / CBUA, Junta de Andalucía

This study used job demands–resources and emotional intelligence theories to test a moderated mediation model explaining work engagement in two independent teacher samples. We hypothesised that emotional intelligence buffers the effect of emotional demands on work engagement through self-appraised stress. Childhood and primary educators (sample 1, N=351) and secondary educators (sample 2, N=344) participated in the study. Although emotional intelligence did not moderate the relationship between emotional demands and self-ap- praised stress, it did buffer the relationship between self-appraised stress and work engagement in both teacher samples. The findings suggest that emotional intelligence has a specific buffering effect affecting intrapersonal and interpersonal processes. We discuss the implications of these findings for efforts to help teachers deal with the detrimental effects of stress on work engagement., Ayuda predoctoral del Ministerio de Educación, Cultura y Deporte (FPU16/02238) Universidad de Málaga

R&D project PID2022-140001OA-I00, funded by MCIN/AEI/10.13039/501100011033 and FEDER, UE; RYC2020-029033-I/AEI/10.13039/501100011033, funded by MICIU/AEI/10.13039/501100011033 and ESF Investing in your future; Project “Inquiry and argumentation about socio-scientific issues from initial training. Approach to identity and professional competences” reference B4-2023-22, funded by Universidad de Málaga, Analysis of STEM attitudes of Primary Education pre-service teachers through social, motivational and instructional factors affecting STEM learning. It includes the datasets and the readme file.

PID2021-125091OB-I00, A feature extraction algorithm for texture detection oriented to its implementation on embedded electronics based on a Field-Programmable Gate Array (FPGA) is proposed in this paper. Local pre-processing with smart tactile sensors can help to improve dexterity in artificial hands. Simplicity is the goal in order to achieve a hardware-friendly strategy that can be replicated and integrated with another circuitry. This is interesting, considering that tactile sensors are arrays and FPGAs are capable of parallel execution. The proposal was tested with a custom smart tactile sensor mounted on a Cartesian robot to explore different textures. A comparison with a common feature extraction approach based on the fast Fourier Transform (FFT) computation was also made. In addition, the whole procedure is implemented on a System on Chip (SoC) with the feature extraction on the embedded FPGA and a k-means classifier on an ARM core. The proposed algorithm obtains the spatial frequency components of the tactile signal but not their power. Therefore, some information is lost with respect to that provided by the FFT. Nevertheless, an 89.17% accuracy of the proposed algorithm is obtained versus 91.4% with the FFT when twelve different textures are considered, including complex and fabric textures. There is a noticeable saving in power and hardware resources. In addition, since the size of the feature vector is much smaller, data traffic and memory usage is much lower, and the classifier can be simpler., Spanish Government with a Formación de Profesorado Universitario (FPU) Grant given by the Ministerio de Ciencia, Innovación y Universidades, European Regional Development Fund (ERDF) Program Funds

The current study examined the roles of dark triad traits, general moral disengagement, and facets of emotional intelligence in bullying and cyberbullying behaviors. A sample of 1,146 (580 girls) adolescents (Mage = 14.19; SD = 1.60) from six high schools participated. Hierarchical regression analyses were used to exploratorily analyze the aforementioned factors. The results revealed that psychopathology, Machiavellianism, and moral disengagement were significantly associated with both bullying and cyberbullying behaviors. Even after accounting for those contributors, the regulation of emotion facet was found to explain a significant amount of unique variance in both aggressive phenomena. The findings of the present study suggest that beyond psychopathology, Machiavellianism, and moral disengagement, the regulation of emotion still matters in preventing cyberbullying aggression in both online and virtual contexts. Identifying and targeting a lack of emotion regulation, even in adolescents with a dark personality and morally disengaged profile, may be important for the prevention of bullying and cyberbullying., Esta base de datos es parte del proyecto de I+D+i PID2020-117006RB-I00, financiado por MCIN/AEI/10.13039/501100011033/, el grupo PAIDI Applied Positive Lab (CTS-1048) (Junta de Andalucía), de la Junta de Andalucía con el contrato posdoctoral “Talento Doctores” [POSTDOC_21_00364] y la Universidad de Málaga

El objetivo del proyecto era la comparación del rendimiento anaeróbico en valores absolutos y relativos a la masa corporal, masa libre de grasa y masa muscular entre hombre y mujeres practicantes de CrossFit en tres pruebas de máximo esfuerzo diferentes. Los resultados mostraron que las diferencias absolutas eran muy significativas. Sin embargo, dichas diferencias se iban reduciendo hasta dejar de ser significativas al ajustar los valores a la masa corporal, libre de grasa y masa muscular., Campus de excelencia internacional Andalucía Tech