CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features

In this paper we propose a crossover operator for evolutionary algorithms with real values that is based on the statistical theory of population distributions. The operator is based on the theoretical distribution of the values of the genes of the best individuals in the population. The proposed operator takes into account the localization and dispersion features of the best individuals of the population with the objective that these features would be inherited by the offspring. Our aim is the optimization of the balance between exploration and exploitation in the search process. In order to test the efficiency and robustness of this crossover, we have used a set of functions to be optimized with regard to different criteria, such as, multimodality, separability, regularity and epistasis. With this set of functions we can extract conclusions in function of the problem at hand. We analyze the results using ANOVA and multiple comparison statistical tests. As an example of how our crossover can be used to solve artificial intelligence problems, we have applied the proposed model to the problem of obtaining the weight of each network in a ensemble of neural networks. The results obtained are above the performance of standard methods

Label Dependent Evolutionary Feature Weighting for Remote Sensing Data

Nearest neighbour (NN) is a very common classifier used to develop important remote sensing products like land use and land cover (LULC) maps. Evolutive computation has often been used to obtain feature weighting in order to improve the results of the NN. In this paper, a new algorithm based on evolutionary computation which has been called Label Dependent Feature Weighting (LDFW) is proposed. The LDFW method transforms the feature space assigning different weights to every feature depending on each class. This multilevel feature weighting algorithm is tested on remote sensing data from fusion of sensors (LIDAR and orthophotography). The results show an improvement on the NN and resemble the results obtained with a neural network which is the best classifier for the study area

The work of Global Digital Heritage for the massive digitization of fortifications in Spain

[EN] In the last 20 years the field of cultural heritage has experienced a revolution in terms of documentation methods. The latest technological advances in laser scanners and photogrammetry have opened the possibility of documenting in three dimensions all types of monuments and sites regardless of their size or complexity. In this revolution fortified spaces have not been an exception. Hundreds of research teams around the world have developed 3D digitization projects of castles and fortresses. However, the overall impact of these projects has been very limited, partly due to the lack of collaboration and partly due to the inability of citizens to freely access the data. Currently, the research team of the US non-profit entity Global Digital Heritage is working on the massive digitization of fortifications in Spain, regardless of their chronology or size. In this context, work has been done on digitizing the prehistoric fortified site of Motilla del Azuer in Daimiel, the Iberian oppidum of Cerro de las Cabezas in Valdepeñas, the fortified Islamic city of Calatrava La Vieja in Carrión de Calatrava, the medieval Christian castle of Calatrava La Nueva in Aldea del Rey, the medieval-Renaissance castle of Los Vélez in Mula, the watchtower of Cope in Águilas or the machine-gun bunker of the Spanish Civil War in Alhama de Murcia, to name just a few examples.López-Menchero Bendicho, VM.; Maschner, HDG.; Mcleod, JB.; Du Vernay, JP.; Hervás Herrera, MÀ. (2020). The work of Global Digital Heritage for the massive digitization of fortifications in Spain. Editorial Universitat Politècnica de València. 333-340. https://doi.org/10.4995/FORTMED2020.2020.11415OCS33334

The user model, vocabulary and logical architecture for adaptive augmented reality

Adaptive Augmented reality is an emerging technology that can support users in their daily life with useful information in real time activities. However, one of the problems identified is the lack of a formal definition of the models required for the development of a A2R system. Therefore our aim is to propose a detailed definition of the User Model required for this type of systems. We explored state of the art ontologies, particularly ontologies, with the objective define the characteristics of user, we present an initial architectural model for this type of systems

Chapter At the Intersection of Art, Architecture and Archaeology: 3D Virtualization and Contemporary Heritage

We are at a global transition where disciplines from art to computer engineering intersect in the realm of global digital heritage. This has been facilitated by the development of desktop high-speed computing, inexpensive photogrammetry software, and digital photography. These technologies, and the tools to make them useful both in the lab and on the web, require the appropriate integration of technical skill, artistic license, archaeological background knowledge, and architectural realities

High-voltage Sensor Based on Fiber Bragg Grating in Fibers with Electrodes

[EN] This work describes the use of FBGs inscribed in optical fiber with electrodes for voltage sensing. The results show a quadratic voltage dependence. The device can be explored for a multipoint, single-ended voltage sensing device.The authors acknowledge financial support from the FINESSE project. FINESSE is funded by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska - Curie grant agreement n° 722509. Partial funding from K. A. Wallenberg Foundation and the Swedish Science Council is gratefully acknowledged. We also thank Kenny Hey Tow (RISE, Sweden) for useful discussions.Pereira, JMB.; Sartiano, D.; Hervás, J.; Barrera, D.; Madrigal-Madrigal, J.; Sales Maicas, S.; Laurell, F.... (2020). High-voltage Sensor Based on Fiber Bragg Grating in Fibers with Electrodes. IEEE. 1-2. http://hdl.handle.net/10251/177479S1

Synergistic activation of AMPK prevents from polyglutamine-inducedtoxicity inCaenorhabditis elegans

11 páginas, 4 figuras. Supplementary material related to this article can be found, in the online version, at doi: https://doi.org/10.1016/j.phrs.2020.105105.Expression of abnormally long polyglutamine (polyQ) tracks is the source of a range of dominant neurodegenerative diseases, such as Huntington disease. Currently, there is no treatment for this devastating disease, although some chemicals, e.g., metformin, have been proposed as therapeutic solutions. In this work, we show that metformin, together with salicylate, can synergistically reduce the number of aggregates produced after polyQ expression in Caenorhabditis elegans. Moreover, we demonstrate that incubation polyQ-stressed worms with low doses of both chemicals restores neuronal functionality. Both substances are pleitotropic and may activate a range of different targets. However, we demonstrate in this report that the beneficial effect induced by the combination of these drugs depends entirely on the catalytic action of AMPK, since loss of function mutants of aak-2/AMPKα2 do not respond to the treatment. To further investigate the mechanism of the synergetic activity of metformin/salicylate, we used CRISPR to generate mutant alleles of the scaffolding subunit of AMPK, aakb-1/AMPKβ1. In addition, we used an RNAi strategy to silence the expression of the second AMPKβ subunit in worms, namely aakb-2/AMPKβ2. In this work, we demonstrated that both regulatory subunits of AMPK are modulators of protein homeostasis. Interestingly, only aakb-2/AMPKβ2 is required for the synergistic action of metformin/salicylate to reduce polyQ aggregation. Finally, we showed that autophagy acts downstream of metformin/salicylate-related AMPK activation to promote healthy protein homeostasis in worms.We thank the CGC, funded by the NIH Office of ResearchInfrastructure Programs (P40 OD010440), for worm strains. [...] RPVMis aMiguel Servet type IIresearcher (CPII16/00004) funded by Institutode Salud Carlos III (ISCIII, Madrid, Spain). Grants from the ISCIII wereused to perform this work (PI14/00949 and PI17/00011). All grantsfrom ISCIII are co-financed by the European Development RegionalFund”A way to achieve Europe”(ERDF). JBY holds a grant from theGeneralitat Valenciana and the European Social Fund (ACIF/2019/249). Some equipment used in this work has been funded in partnershipbetween the Generalitat Valenciana (Conselleria de Sanitat I SalutPública, Valencian Community, Spain) and European Funds (ERDF/FSE), through the call "Improvement of research infrastructures for rarediseases”CV FEDER 2014-2020. This work has been partially supportedby a grant from the Fundació Telemarató de la TV3 (Reference 559),which covered the work of MDS. The funds from the ISCIII are partiallysupported by the European Regional Development Fund. RPVM is also aMarie Curie fellow (CIG322034, EU). This work has been partiallysupported by a grant from the CIBERER (ACCI2016), a grant from theFundación Ramón Areces (CIVP19S8119) and anAyuda Miguel Gilgrantto RPVM (VII Convocatoria Ayudas a la Investigación MHER, 2019Peer reviewe

Genetic connectivity between Atlantic bluefin tuna (ABFT) Larvae Spawned in the GOM and MED

Highly migratory Atlantic bluefin tuna (ABFT) is managed as two stocks, Western and Eastern. Western ABFT spawn mainly in the Gulf of Mexico (GOM) and Eastern ABFT in the Mediterranean Sea (MED) (1). Understanding connectivity between ABFT populations is important for conservation and management of this valuable fishery resource that has been exploited for centuries. ABFT are highly mixed, with multiple disciplines supporting weak structuring between Western and Eastern stocks (1). Concerning genetics, subtle structuring of ABFT populations across the Atlantic Ocean has been the conclusion of studies describing genetic tools for traceability (2,3). Larval fish provide the genetic signal of successful breeders and have occasionally been genetically characterized with juveniles (young-of-the-year, YOY) collected in nursery areas. For the first time, cooperative field collection of tuna larvae during 2014 in the main spawning area for each stock enabled us to assess the structuring of ABFT genetic diversity in a precise temporal and spatial frame exclusively through larvae (5). Partitioning of genetic diversity at nuclear microsatellite loci and in the mitochondrial control region resulted in low significant fixation indices. Individual-based clustering analysis of larval ABFT genetic diversity indicate apparent connectivity between the GOM and MED spawning grounds that could support the hypothesis of mixing of breeders belonging to different stocks.This collaborative study was supported by "ECOLATUN" PROJECT CTM2015-68473-R (MINECO/FEDER) funded by Spanish Ministry of Economy and Competitiveness; "TUNAGEN" project funded by IEO; and "BLUEFIN" project financed by IEO and Balearic Island Observing and Forecasting System (SOCIB). This research was funded by NASA (NNX11AP76G S07), the NOAA National Marine Fisheries Science Service through the Southeast Fisheries Science Center, as well as by Cooperative Institute for Marine and Atmospheric Studies under Cooperative Agreement NA15OAR43200064 at the University of Miami. There was no additional external funding received for this study. The scientific results and conclusions, as well as any views or opinions expressed herein, are those of the author(s) and do not necessarily reflect those of NOAA or the Department of Commerce