11037 research outputs found
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Interdisciplinary treatment of subjects in higher education
No full textLa Universidad debe implementar nuevas metodologías que favorezcan la conexión de los aprendizajes entre materias, así como la motivación académica. El objetivo de este proyecto fue aumentar de la motivación de los alumnos, el dominio de las competencias clave y la mejora en la adquisición de contenidos en los alumnos de la enseñanza superior utilizando estrategias activas y el entorno social y cultural como recurso básico dentro de un proyecto interdisciplinar. Para ello se desarrolló un
proyecto interdisciplinar entre diferentes materias de los grados de infantil y primaria donde el alumnado desarrollo una serie de recursos de contenido digital para la comunidad educativa. Como resultados más destacados el alumnado manifestó un incremento en la motivación y una mejora considerable en los resultados académicos de las distintas materias. Se concluye que la realización de este tipo de proyectos de innovación resulta indispensable para la mejora formativa de los futuros docentes.The University must implement new methodologies that favor the connection of learning between subjects, as well as academic motivation. The objective of this project was to increase student motivation, the mastery of key competencies and the improvement in the acquisition of content in higher education students using active strategies and the social and cultural environment as a basic resource within an
interdisciplinary project. For this purpose, an interdisciplinary project was developed between different subjects of the infant and primary grades where the students developed a series of digital content resources for the educational community. As the most outstanding results, the students showed an increase in motivation and a considerable improvement in the academic results of the different subjects. It is concluded that the implementation of this type of innovation projects is essential for the improvement of the training of future teachers
Do marine mammals diversify more slowly than non‐marine mammals?
Full text linkAim Species richness is generally lower in marine than in terrestrial ecosystems, but the reasons behind this disparity remain unclear. This study examines whether marine mammals diversify at a slower pace than their non‐marine counterparts, aiming to shed light on the factors explaining potential diversification differences among them. Location Global. Time Period Contemporary. Major Taxa Studied Mammals. Methods We combined time‐calibrated phylogenies, species distribution data, and life‐history traits to compare DR variation among marine and non‐marine mammals, and to assess DR correlation with ecological realm and species traits. Results Contrary to previous findings at higher taxonomic scales, our results show that marine mammals do not exhibit lower DR than non‐marine mammals, but even higher depending on the phylogenetic framework. Our regression analyses indicate that taxonomy (particularly family) is the dominant predictor of DR variation among mammals rather than the ecological realm. Still, DR appears negatively correlated with body mass in marine mammals and with range size in non‐marine mammals. Besides, the geographic distribution of DR points to a more uniform pattern in marine than in non‐marine artiodactyls, for which high DR values concentrate in the Northern Hemisphere. Conversely, high DR values for marine carnivores are clustered around the poles, while a more homogeneous distribution is observed across continents for their terrestrial relatives. Main Conclusions These findings challenge the conventional view that marine ecosystems inherently constrain species diversification. Instead, they suggest that taxonomy and species‐specific traits, rather than the ecological realm alone, are the primary drivers of mammalian diversification. Our study emphasizes the complexity of mammalian evolutionary patterns and the importance of integrating taxonomic, ecological, and biogeographic factors in macroevolutionary analyses.Universidade de Vigo | Ref. 00VI 131H 6410211Universidade de Vigo/CISUGXunta de Galicia | Ref. ED481B-2023-04
A narrowband mobile satellite maritime propagation channel model at L-Band
No full textIn this article, we present a statistical narrowband mobile satellite maritime propagation channel model at the L-band based on empirical observations using GPS C/N0 measurements from a receiver onboard a vessel in different sea conditions. The model is fully parameterized for all possible elevation angles. In the measurements, we have used a low-gain, 6.2 dBi, hemispherical antenna. The parameters provided, thus, are valid for this and similar antenna gains.European Space Research and Technology Centre (ESTEC)European Space Agency (ESA) | Ref. NAVISP-EL1-00
La ZEC en el contexto de la lucha contra la competencia fiscal dañina y la planificación fiscal agresiva
Full text linkIsolated sign language recognition with multi-scale spatial-temporal graph convolutional networks
No full textIsolated Sign Language Recognition (ISLR) fits nicely in the domain of problems that can be handled by graph-structured spatial-temporal algorithms. A recent multi-scale spatial-temporal graph convolution operator, MS-G3D, takes advantage of the semantic connectivity among non-neighbor nodes of the graph in a flexible temporal scale, which results in improved performance in classical Human Action Recognition datasets. In this work, we present a solution for ISLR using a skeleton graph that includes body and finger joints and makes use of this specific property of MS-G3D, which seems crucial to capture the internal relationship among semantically connected distant nodes in sign language dynamics. To complete the analysis, we compare the results with a 3D-CNN architecture, S3D, already used for SLR, and fuse it with MS-G3D. The performance achieved on the AUTSL dataset shows that MS-G3D alone stands out as a viable technique for ISLR. In fact, the improvement after fusing with a 3D-CNN approach, at least on this medium-scale dataset, appears marginal. The transfer learning capability of the trained models is also explored using pre-training with the larger WLASL dataset and post-training with the smaller LSE_UVIGO dataset. The classification performance based on the MS-G3D model over AUTSL does not benefit from pre-training with WLASL, but the performance on the more similarly acquired LSE_UVIGO dataset improves significantly from fine-tuning the MS-G3D AUTSL model.Agencia Estatal de Investigación | Ref. RTI2018-101372-B-I00Agencia Estatal de Investigación | Ref. PRE2019-088146Xunta de GaliciaFondo Europeo de Desarrollo Regiona
A Phanerozoic gridded dataset for palaeogeographic reconstructions
Full text linkGlobal Plate Models are widely used in the Earth Sciences to reconstruct the past geographic position of geological and palaeontological samples. However, the application of Global Plate Models to retrieve ‘palaeocoordinates’ is not trivial. Different Global Plate Models exist which vary in their complexity, spatiotemporal coverage, reference frame, and intended use. Consequently, careful consideration of which models are appropriate for any given research question is required. Here, we document and provide access to reconstruction datasets for five Global Plate Models in the palaeomagnetic reference frame. These datasets provide ‘true’ palaeolatitudes for three discrete global grids reconstructed at one-million-year intervals throughout the Phanerozoic (540–0 Ma), offering three key benefits for the Earth Science community: (1) allow users to look up palaeocoordinates for their samples (e.g. fossil occurrences) through simple indexing without having to learn additional software packages; (2) provide palaeocoordinates which have been generated consistently with thorough documentation; (3) provide static files which preserve model output and which can be used to evaluate palaeogeographic differences between Global Plate Models.Agencia Estatal de Investigación | Ref. FJC2021-046695-IResearch Council of Norway’s Centres of Excellence funding | Ref. 223272AuScope National Collaborative Research Infrastructure System (NCRIS) progra
Enhancing image- and text-based multiple choice exam design in manufacturing engineering education using large language models
Full text linkManufacturing is a crucial subject in most undergraduate engineering studies. The hours dedicated to manufacturing comprise theory, exercises, training using specific software, and lab activities. Evaluating students’ work typically involves several activities, including submitting lab reports, solving numerical problems, and taking exams. Each method has its drawbacks and advantages; instructors choose the examination type based on their experience and expertise. Multiple-choice exams are usually selected when the number of students is significant, when the time for grading and revising the grades is short, or when the instructor needs to evaluate specific concepts of the subject's theory. These exams must be carefully designed to ensure fairness in the evaluation, with particular attention to the number of questions and the penalty for incorrect answers. Moreover, images further complicate the design of exams. Artificial intelligence is being tested in education for different tasks. The current study tests the ChatGPT model to balance the difficulty of manufacturing multiple-choice exams that include both image- and text-based questions with examples. The methodology can help the instructor reflect on how the exam is designed, correct errors, revise writing, and create questions that are easier to interpret. Instructors can find help adjusting the difficulty of a question when needed by modifying or substituting some answers and choosing suitable images
Punto de fuga
No full textMateo atraviesa el momento de incertidumbre propio del paso de la juventud a la edad adulta. Su precaria situación y la crisis económica acentúan la inseguridad del protagonista, el cual pertenece a una generación muy preparada académicamente pero que no consigue incorporarse a la vida laboral.
En palabras de Miguelanxo Prado, «una aportación madura, necesaria e importante al cómic gallego».Xunta de Galici
Repertório da cantoria: os gêneros do repente do Nordeste brasileiro
Full text linkUniversidade de Vigo. I Cátedra Internacional José Saramag
LSE-FS-UVigo dataset and keypoint-based fingerspelling recognition
Full text linkContinuous fingerspelling recognition remains a challenging task due to rapid hand and finger movements, coarticulation, and the limited availability of annotated data across sign languages. We introduce LSE-FS-UVigo, the first open dataset of continuous fingerspelling in Spanish Sign Language, containing 3,010 sequences from 42 signers recorded under both studio and in-the-wild conditions. The dataset provides three-dimensional hand keypoints extracted using MediaPipe for all samples, along with corresponding RGB video data for 1,029 studio sequences, for which distribution permission has been granted. In this paper, we establish a reproducible benchmark using an adaptive spatio-temporal graph convolutional network trained with Connectionist Temporal Classification loss. Despite relying solely on skeletal data, the model achieves competitive performance compared to video-based approaches. For comparison, the model was also trained on the larger ChicagoFSWild+ American Sign Language dataset, where it attained state-of-the-art results. All recordings, annotations, and code are released under a permissive license to promote progress in continuous fingerspelling recognition.Xunta de Galicia | Ref. ED431B 2024/36Agencia Estatal de Investigación | Ref. PID2021-123988OB-C3