La costa oriental malagueña en época romana : continuidad y transformación

La costa oriental malagueña es conocida en la investigación arqueológica por los importantes asentamientos fenicios que se han documentado en esta zona. Sin embargo, este espacio tiene un gran interés para analizar la dinámica producida en la zona tras su integración en la estructura romana. A partir de entonces, el tránsito de la vía costera Castulo-Gades y su riqueza económica serán pilares indispensables para analizar su transformación a lo largo de estos siglos.The East Coast of Málaga is known in archaeological investigation by its important Phoenicians sites documented in this area. This area has also great interest for analysing the development in this area after its roman structure integration After then, the pass along the coast rood its economic richness will be the essential support for analysing its transformation along the centuries

El poblamiento romano en el actual municipio de Archidona (Málaga) : nuevas aportaciones para su estudio

Las tierras del actual municipio de Archidona tienen un gran potencial arqueológico del que todavía conocemos muy pocos datos. La actividad arqueológica promovida por el futuro paso del AVE por este lugar ha permitido localizar una serie de villae romanas en la zona norte del municipio, de la que hasta ahora carecíamos de datos arqueológicos.The actual lands of Archidona municipality have a great archaeological potential wich we don’t know much information today. The archaeological activity made because of the AVE railway course works at these places have documented several roman villae in the north area of this municipality

Does poverty promote a different and harmful way of thinking? The links between economic scarcity, concrete construal level and risk behaviors

We tested the relationships between economic scarcity, concrete construal level and risk behaviors. We manipulated the lack of economic resources using a priming task in Studies 1 and 2, and participants reported their real income and completed the BIF scale to measure their construal level in Study 3. Studies 1–3 supported the link between perceived economic scarcity and the concrete construal level. Study 4 demonstrated the mediating role played by the concrete construal level in the influence of economic scarcity on risk behaviors using two opposite priming procedures (scarcity plus abstraction). Study 5, in a real context of economic vulnerability, supported the link between concrete mindset and risk behavioral intentions, while abstraction was associated with fewer risk intentions. Concrete thinking implies focusing on the immediate situation, which might facilitate adaptation to the demanding conditions that characterize scarcity contexts but leaves people without a broad perspective of the future to make safe decisions in situations that involve self-control, such as health-risk behaviors. Because an abstract construal level can be induced, these findings open up challenging ways to improve the conditions in which people in scarcity contexts make some behavioral decisions while we continue working to reduce situations of economic scarcityThis research was funded by the Ministry of Science and Innovation in Spain (PGC2018–093821-B-I00, FEDER, MICINN, Carrera and Caballero PIs

The links among relative financial scarcity, thinking style, fatalism, and well-being

In the present research, we examined the links among relative financial scarcity, thinking style, fatalism, and well-being and their roles in predicting protective behaviors against COVID-19. Study 1 (N = 120) revealed that after an experimental manipulation to induce the perception of relative financial scarcity (versus financial abundance), people who perceived higher relative financial scarcity changed their thinking style to a more concrete mindset. In Study 2 (N = 873), the relative financial abundance–scarcity situation was measured, and the results showed that the greater the perceived relative financial scarcity was, the more concrete the mindset and the lower the sense of well-being. Importantly, we found that individuals who felt poorer but maintained an abstract thinking style reported higher well-being. Study 3 (N = 501) examined the influence of a concrete thinking style in people who perceived that their economic situation had worsened with the pandemic. The results showed that when this vulnerable population presented a more concrete mindset, they reported lower well-being, higher fatalism, and lower protective behavior against COVID-19. Thus, maintaining an abstract mindset promotes higher well-being, lower fatalism, and greater protective behaviors against COVID-19, even under economic difficulties. Because thinking style can be modified, our results encourage the development of new social intervention programs to promote an abstract mindset when people face important challengesMinisterio de Ciencia e Innovación, Grant/Award Number: PGC2018-093821-B-I00, FEDER, MICIN

Community Learning at School TIC2.0: New Models of Classroom Organization

Experiencia de alfabetización mediática en 2º ciclo de primaria con participación de madres voluntariadoLa presente comunicación describe la experiencia que viene desarrollándose en el segundo ciclo de primaria del CEIP Tirso de Molina de Córdoba. Integra dos aspectos fundamentales en la educación mediática: el desarrollo de la competencia digital y de tratamiento de la información mediante el blog y las presentaciones, y la creación de nuevos contextos para el aprendizaje en los que participan familiares y voluntarios, junto con el profesorado en el aula para acelerar el aprendizaje de los escolares

"Terra sigillata hispánica" de los talleres malagueños en el Teatro Romano de Málaga

El presente trabajo se ha centrado en el análisis de la terra sigillata hispánica elaborada en los talleres malagueños, documentada en las excavaciones realizadas en el Teatro romano de Málaga y su entorno. La identificación de las pastas de los materiales analizados han permitido aproximarnos a los distintos puntos de origen de la sigillata hispánica hallada en el principal edificio público de época romana excavado en la ciudad de Málaga, con un significativo porcentaje de las producciones elaboradas en los talleres de T.S.H. malagueñosThis article is based on terra sigillata hispanica analysis which taken place at Málaga workshops and it has been researched on Málaga Roman Theatre and its surroundings. Thanks to the identification of the pastes of the materials analysed, we have been able to come closer to SH points of origin which were found in the main public building, belonging to the Roman period, excavated in the city of malaga. We emphasize the high percentage of pieces made in Málaga T.S.H workshop

Deep learning based semantic segmentation on hyperspectral data.

Nowadays, many applications are taking advantage of the recent advances on artificial intelligence to improve their performance, being Deep Learning one of the newest and most powerful tools. Hyperspectral Imaging (HSI) is an analytical technique based on spectroscopy, where some of the main purposes are identifying materials, detecting objects or following processes. Deep Learning has shown promising results on many computer vision related tasks, including processing of HSI data. This project evaluates the state-of-the-art Deep Learning methods and benchmarks for semantic segmentation on available HSI datasets, with the purpose of replicating the state-of-the-art and finding new strategies that can improve the performance of existing models. Most existing works are based on per-patch classification, and have shown great results for the task, but they were evaluated by their authors in relatively artificial scenarios, where training and testing data were extremely similar. We have performed extensive experimentation to replicate their results and to evaluate on additional existing benchmarks, obtaining similarly good results. In this master thesis we have designed new benchmarks to evaluate the performance of each model in more realistic scenarios. In particular, new benchmarks based on existing data have been built with disjoint training and testing data and to test across different datasets. This is a tedious task and not straight forward, since existing datasets usually cover a single (large) scene, and consist of a single (very large) hyperspectral image. An exhaustive verification of these per-patch models in the proposed benchmarks has shown how the performance does not really achieve such perfect scores, and shows an evaluation closer to how the model would perform in a real life situation. Besides, this thesis evaluates and adapts a new type of architecture for the task of segmenting HSI. In particular, a general purpose semantic segmentation model. This model has shown high performance on RGB semantic segmentation, has been adapted and evaluated on the available datasets and proposed HSI benchmarks. This general purpose semantic segmentation network MiniNet-v2, based on an encoder-decoder architecture, has required to be adapted to work with hyperspectral data in two aspects: not only the model itself needed to be adjusted, but a new pre-processing of the data was needed. Numerous variations have been explored and evaluated thoroughly to find the best pre-processing of the data for this kind of network. As this kind of model learns from image contextual information, the input patches to the network need to be as big as possible, always keeping in mind each HSI dataset is limited to a single scene. The choice of MiniNet as alternative model was partially guided by its properties, specially that it is built towards efficiency. In our adaptation it has exhibited higher performance than per-patch models, and much higher efficiency in terms of inference time since the prediction is done as a whole instead of predicting each small patch. As Deep Learning shows good performance and efficiency on hyperspectral data, this technology could exhibit great advances in the near future in fields like recycling, medicine or disaster prediction, where HSI technology has a lot of potential interest.<br /