Resultados de investigación

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

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 files contain the commands to run the models and create the tables in Mauerer, I. & Tutz, G. (2023). "Heterogeneity in General Multinomial Choice Models." Statistical Methods & Applications 32(1): 129–148. https://doi.org/10.1007/s10260-022-00642-5, Different voters behave differently at the polls, different students make different university choices, or different countries choose different health care systems. Many research questions important to social scientists concern choice behavior, which involves dealing with nominal dependent variables. Drawing on the principle of maximum random utility, we propose applying a flexible and general heterogeneous multinomial logit model to study differences in choice behavior. The model systematically accounts for heterogeneity that classical models do not capture, indicates the strength of heterogeneity, and permits examining which explanatory variables cause heterogeneity. As the proposed approach allows incorporating theoretical expectations about heterogeneity into the analysis of nominal dependent variables, it can be applied to a wide range of research problems. Our empirical example uses individual-level survey data to demonstrate the benefits of the model in studying heterogeneity in electoral decisions., EMERGIA, Junta de Andalucia

Tables correspond to the performance of the F-statistic, and Greenhouse-Geisser (F-GG) and Huyhn-Feldt adjusted F-tests (F-HF) in terms of Type I error and power in one-way repeated measures designs under violation of normality and sphericity. Values of epsilon are fixed according to the Greenhouse-Geisser procedure. The number of repeated measures (3, 4, and 6), sample size (from 10 to 300), non-normal distribution, and epsilon value (from the lower to its upper limit) were manipulated., Ministerio de Ciencia e Innovación, PID2020-113191GB-I00

The archive contains the SAS code to analyze the performance of the repeated measures ANOVA with bootstrap procedure in terms of Type I error with non-normal data under violation of sphericity., Ministerio de Ciencia e Innovación, PID2020-113191GB-I00

Background/Objective: The main purpose of this study was to examine the rela-tionships among cybervictimization, maladaptive cognitive emotion regulation strategies andsomatic complaints in a 4-month follow-up study. Method: A total of 1,024 high school students(456 male and 568 female, M (SD) = 13.69 years (1.3 years), range 12---18 years, voluntarily par-ticipated in this study. Measures of cybervictimization and cognitive strategies were obtainedat Time 1. Four months later (Time 2), measures of somatic complaints were obtained. Results:Multiple mediation analyses were conducted to determine the mediating roles of maladaptivestrategies in the link between cybervictimization and somatic complaints. As expected, path-analytic results showed that cybervictimization predicted somatic symptoms. Furthermore,some maladaptive regulation strategies, namely self-blame and rumination, partially medi-ated the link between cybervictimization and somatic symptoms evaluated 4-months later.Conclusions: The findings are discussed in terms of the role that maladaptive cognitive emotionregulation strategies might play with regards to physical health in cyberbullying episodes. Ingeneral, these findings have important implications for developing an understanding about theaffective determinants of somatic health problem initiation and maintenance after a victim-ization and for developing intervention programs specifically for cybervictimized adolescents.© 2020 Published by Elsevier Espa˜na, S.L.U. on behalf of Asociaci´on Espa˜nola de Psicolog´ıa Con-ductual. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)., Universidad de Málaga(PPIT.UMA.B1.2017/23), Grupo PAIDI CTS-1048 (Junta de Andalucía) y Junta de Andalucia/FEDER (UMA18-FEDERJA-147).

Psychological distress is an increasing concern among adolescents worldwide. Cybervictimization is considered one of the stressors that adolescents may face, and it significantly impacts various indicators of suicide risk (i.e., symptoms of depression, anxiety, and stress, and suicidal ideation). However, teacher emotionally intelligent behaviors (TEIB) might mitigate the links between cybervictimization experiences and suicide risk factors. This study aimed to examine the relationships between cybervictimization and several suicide risk indicators, as well as the potential moderating role of TEIB in these links. A sample of 1,866 (996 girls) adolescents (Mage = 13.99, SD = 1.44) participated in this study and completed widely validated measures. Moderation analyses revealed that TEIB moderated the positive associations between cybervictimization and symptoms of depression, anxiety, and stress, even after controlling for the effects of sociodemographic factors (i.e., age and gender) and emotional intelligence. However, TEIB did not moderate the link between cybervictimization and suicidal ideation. These novel findings both underscore the significance of students' perceptions of TEIB in shaping their psychological well-being and highlight potential avenues for research aimed at mitigating the consequences of cybervictimization., This work was part of the R+D+i project PID2020-117006RB-I00, funded by MCIN/AEI/10.13039/501100011033/ and PAIDI Group CTS-1048 (Junta de Andalucía). This research was also supported by the University of Málaga. The second author was supported by the Junta de Andalucía under Grant (POSTDOC_21_00364). Partial funding for open access charge: Universidad de Málaga / CBUA.

This dataset contains polygon features representing the distribution and tree cover of the Moroccan fir (Abies marocana Trab.) within Talassemtane National Park, located in the Western Rif of northern Morocco. The dataset includes 144 MultiPolygon records classified into four forest structural categories: pure stands, mixed stands dominated by A. marocana, mixed stands with secondary A. marocana, and areas with scattered individuals. Two main forest zones are distinguished: Talassemtane forest and Tazaot forest, corresponding to the species’ primary distribution nuclei within the park. The physiognomic–structural classification identified 4,206 hectares of A. marocana formations. Pure stands represent 1,648 ha (39.2%), followed by mixed stands with secondary presence (1,385 ha; 32.9%). Mixed stands with dominant presence cover 802 ha (19.1%), while marginal or scattered occurrences occupy 371 ha (8.8%). All area calculations are expressed in hectares, and the dataset is fully referenced in EPSG:32630 (WGS 84 / UTM zone 30N). Aerial imagery from Airbus Pléiades (50 cm resolution) was used to delineate and classify forest patches, supported by auxiliary information. Digitisation, geoprocessing, mask tasks, and mapping workflows were carried out in the ArcGIS Pro 3.5 environment. The dataset is provided in both GeoPackage (.gpkg) and Shapefile (.shp) formats to ensure broad compatibility with GIS platforms. It is intended for use in ecological research, conservation planning, forest structure assessment, and landscape-level analysis within protected mountain ecosystems.

Lista de cotejo para evaluar la labor docente a través de la heteroevaluación (por parte del profesor) y la coevaluación (entre pares) en los Grupos de Trabajo de la asignatura de Actuación Didáctica en la Actividad Física del Grado en Ciencias de la Actividad Física y del Deporte. Este instrumento se utilizará para el desarrollo del Proyecto de Innovación Docente titulado "Autoevaluación de la labor docente del alumnado mediante video-feedback" (convocatoria 2025-2026)