Editorial: Deep Learning in Aging Neuroscience

MINECO/FEDER TEC2015-64718-R RTI2018-098913-B-100 PGC2018-098813-B-C32General Secretariat for Universities, Research and Technology of the Junta de Andalucia under FEDER Andalucia project A-TIC-117-UGR1

Influence of Di erent Sieving Methods on Estimation of Sand Size Parameters

Sieving is one of the most used operational methods to determine sand size parameters which are essential to analyze coastal dynamics. However, the influence of hand versus mechanical shaking methods has not yet been studied. Herein, samples were taken from inside the hopper of a trailing suction dredger and sieved by hand with sieves of 10 and 20 cm diameters on board the dredger. Afterwards, these same samples were sieved with a mechanical shaker in the laboratory on land. The results showed di erences for the main size parameters D50, standard deviation, skewness, and kurtosis. Amongst the main results, it should be noted that the highest values for D50 and kurtosis were given by the small sieves method. On the other hand, the lowest values were given by the mechanical shaker method in the laboratory. Furthermore, standard deviation and skewness did not seem to be a ected by the sieving method which means that all the grainsize distribution was shifted but the shape remained unchanged. The few samples that do not follow these patterns have a higher percentage of shells. Finally and definitely, the small sieves should be rejected as a sieving method aboard

SylvaDB: A Polyglot and Multi-backend Graph Database Management System

This paper presents SylvaDB, a graph database management system designed to be used by people with no technical knowledge. SylvaDB is based on flexible schema definitions and has been developed taking into account the need to deal with semantic information. It relies on the mathematical notion of property graph. SylvaDB is an open source project and aims at lowering the barrier of adoption for anyone using graph databases. At the same time, it is robust and scalable enough to support collaborative large projects related to knowledge management, document archiving, and research

Iberian red deer: Paraphyletic nature at mtDNA but nuclear markers support its genetic identity

British Ecological Society Special Feature: Demography Beyond the Population.Red deer populations in the Iberian glacial refugium were the main source for postglacial recolonization and subspecific radiation in north-western Europe. However, the phylogenetic history of Iberian red deer (Cervus elaphus hispanicus) and its relationships with northern European populations remain uncertain. Here, we study DNA sequences at the mitochondrial control region along with STR markers for over 680 specimens from all the main red deer populations in Spain and other west European areas. Our results from mitochondrial and genomic DNA show contrasting patterns, likely related to the nature of these types of DNA markers and their specific processes of change over time. The results, taken together, bring support to two distinct, cryptic maternal lineages for Iberian red deer that predated the last glacial maximum and that have maintained geographically well differentiated until present. Haplotype relationships show that only one of them contributed to the northern postglacial recolonization. However, allele frequencies of nuclear markers evidenced one main differentiation between Iberian and northern European subspecies although also supported the structure of both matrilines within Iberia. Thus, our findings reveal a paraphyletic nature for Iberian red deer but also its genetic identity and differentiation with respect to northern subspecies. Finally, we suggest that maintaining the singularity of Iberian red deer requires preventing not only restocking practices with red deer specimens belonging to other European populations but also translocations between both Iberian lineages.This work was partly supported by project CGL2010-17163/BOS from the Spanish MInistry of Science and by Extremadura and Andalusian Regional Goverments.Peer Reviewe

Sustaining a Global Community: Art and Religion in the Network of Baroque Hispanic-American Paintings

The authors analyze the network of Hispanic baroque paintings from 1550 to 1850. They divide the dataset of 11,443 works from Spain and Latin America into 25-year periods in order to study the evolution of the paintings’ 211 descriptors. The analysis shows that most of the paintings are linked through genre and theme and that religious Christian themes make up the overwhelming majority of connections among the paintings

The art-space of a global community: the network of Baroque paintings in Hispanic-America

This paper presents the results of a multidisciplinary collaboration in Digital Humanities that focuses on the multi-scale analysis of the network of Baroque paintings in the territories of the Hispanic Monarchy from the 16th through the 18th centuries. We apply graph analysis and visualizations as well as natural language analysis over a database of over 11,000 artworks in order to address three types of questions related, respectively, to the formation and sustainability of large cultures, the semantic content of the network we analyze, and the role of art as an institution that contributes to sustain large-scale societies. The results also help to design a methodology that can be exported to other projects in Digital Humanities

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works

Epilepsy is a disorder of the brain denoted by frequent seizures. The symptoms of seizure include confusion, abnormal staring, and rapid, sudden, and uncontrollable hand movements. Epileptic seizure detection methods involve neurological exams, blood tests, neuropsychological tests, and neuroimaging modalities. Among these, neuroimaging modalities have received considerable attention from specialist physicians. One method to facilitate the accurate and fast diagnosis of epileptic seizures is to employ computer-aided diagnosis systems (CADS) based on deep learning (DL) and neuroimaging modalities. This paper has studied a comprehensive overview of DL methods employed for epileptic seizures detection and prediction using neuroimaging modalities. First, DLbased CADS for epileptic seizures detection and prediction using neuroimaging modalities are discussed. Also, descriptions of various datasets, preprocessing algorithms, and DL models which have been used for epileptic seizures detection and prediction have been included. Then, research on rehabilitation tools has been presented, which contains brain-computer interface (BCI), cloud computing, internet of things (IoT), hardware implementation of DL techniques on field-programmable gate array (FPGA), etc. In the discussion section, a comparison has been carried out between research on epileptic seizure detection and prediction. The challenges in epileptic seizures detection and prediction using neuroimaging modalities and DL models have been described. In addition, possible directions for future works in this field, specifically for solving challenges in datasets, DL, rehabilitation, and hardware models, have been proposed. The final section is dedicated to the conclusion which summarizes the significant findings of the paper

Greening the post crisis. Collectivity in private and public community gardens in València (Spain)

[EN] Unlike other Western European countries, community gardens have appeared very recently in Spain, and they have rapidly increased during the last decade. Community gardens have adopted different forms -rental, municipal and associative- with contrasted managerial practices. This paper analyzes collectivity of community gardens in Valencia (Spain), including private initiatives, through semi-structured interviews conducted in different gardens of the Valencia Metropolitan Area. Results show how the financial crisis has acted as a catalyst for urban greening latent demands, causing the expansion of community gardens. Despite the different structure, practices and rules of private and public gardens, all of them share aims and actions related to urban greening, food sovereignty, organic farming and community building, and show similar benefits to those observed in other countries. Moreover, the rental gardens allow farmers to expand their services and to engage directly with consumers.Palau-Salvador, G.; De Luis, A.; Juan Pérez, J.; Sanchis Ibor, C. (2019). Greening the post crisis. Collectivity in private and public community gardens in València (Spain). Cities. 92:292-302. https://doi.org/10.1016/j.cities.2019.04.005S2923029

Deeping in the genetics of medium-sized cities. Heritage as an identity feature in Andalusia

Interest in urban agglomerations, metropolitan areas, large cities and in general the spaces where the majority of the world's population is concentrated, has occupied the interest of an urban research for decades. According to the United Nations sources, today, the world population is 7.6 billion, is going to reach 8.6 billion in 2030 and 9.8 billion people in 2050. In Spain, according to sources from the National Institute of Statistics, the population reaches 46.57 million inhabitants, although its distribution is not uniform in the territory. Andalusia, with 8.37 million, is the first most populated Spanish autonomous community, followed by Catalonia (7.55) and the Community of Madrid (6.50) with almost one million fewer inhabitants, respectively. Following the same indicators, most of this population already lives in large cities and in the upcoming years, this figure will increase exponentially. This means that a large part of people will be concentrated in a small part of the territory and, on the other hand, which we begin to have large areas of the territory without inhabiting or with a very low population density. Examining aspects traditionally considered as secondary, involving a minority of the population, has been one of the disciplinary general constants in the last century and that not only affects architects or urban planners. To say medium-sized cities in Europe is to think about urban-territorial heritage, historic landscapes that continue shaping wide territories. In Andalusia (87600 km2), the effects of metropolization are still punctual (3.72 % on 778 municipalities). Totalling 778 municipalities, up to 122 of them are listed for their Historical Centres. We find that only 3.72 % of these municipalities exceeds a population of 50 000 inhabitants. The Heritage constitutes its 'genetic heritage'. Both considering international and national scales, its historic relevance is noted in Civitates Orbis Terrarum (with 25 Andalusian cities from 34 Spanish). Nowadays, its heritage value is represented by the Historic Centres (the first two listed cities in Spain, 1929, were Andalusian), and World Heritage inscriptions. This outlines the necessity of decoding the Heritage DNA, as an indissoluble variable prior to planning. The aim of this research is to characterize the European medium-sized cities and their territory in the heritage terms, defining what is the Andalusian territory. Different cultural and productive landscapes are the main actors of the medium-sized Andalusian cities: the landscape of fishing, the art of the almadraba, the wine cellars, the olive trees plantations, the urban networks of convents are only a sample. The dynamics experimented at this regional level could be extended to the rest of the European countries analysed in the project. This research will gather partial results of an R&D project "Patrimonial Urban Characterization and Cultural Tourism Model in the Middle Cities. Potentialities and Challenges for its Internationalization: Inner Baetica", funded by the Ministry of Economy and Competitiveness of Spain