Towards an Energy Assessment on an Urban Scale for Retrofitting the Housing Stock in Mediterranean Cities

According to European Directive 2012/27/EU energy retrofitting of the current housing stock is being promoted. However, few studies have been carried out characterizing housing stock energy performance in order to incorporate energy retrofitting in cities in the southern Mediterranean area. The aim of this paper is to propose an energy assessment methodology on urban scale and to apply it to the southern Spanish province of Cadiz. This is followed by the generation of a predictive model for energy assessment in Mediterranean cities which could be further developed and used in the future to estimate overall energy efficiency on an urban scale

Memetic Pareto Evolutionary Artificial Neural Networks for the determination of growth limits of Listeria Monocytogenes

The main objective of this work is to automatically design neural network models with sigmoidal basis units for classification tasks, so that classifiers are obtained in the most balanced way possible in terms of CCR and Sensitivity (given by the lowest percentage of examples correctly predicted to belong to each class). We present a Memetic Pareto Evolutionary NSGA2 (MPENSGA2) approach based on the Pareto-NSGAII evolution (PNSGAII) algorithm. We propose to augmente it with a local search using the improved Rprop—IRprop algorithm for the prediction of growth/no growth of L. monocytogenes as a function of the storage temperature, pH, citric (CA) and ascorbic acid (AA). The results obtained show that the generalization ability can be more efficiently improved within a framework that is multi-objective instead of a within a single-objective one

Carcinoma bronquiolo-alveolar en perro : un caso clínico. Diagnóstico y tratamiento quirúrgico

Se describe un caso clínico de un perro Staffordshire Bull Terrier macho de 2 años de edad que presentaba un historial de insuficiencia respiratoria. Tras la exploración física, se aprecia la existencia de un derrame pleural procediéndo-se a realizar diferentes pruebas diagnósticas para establecer su causa incluyendo la toracocentesis y cultivo bacteriológico, radiología y ecografía torácica. Se describe la vía de abordaje quirúrgico uti- lizada en este caso (esternotomía mediana); así como, la intervención de lobectomía a la que fue sometido el paciente. La pieza de extirpación quirúrgica fue remitida para su análisis histopatolóqico, confirmando el diagnóstico de carcinoma bronquiolo-alveolar primario de pulmón.A clinical case is described of a two year oid male Staffordshire Bull Terrier who was sent with a history of respiratory insufficiency. After a physical examination a pleural effusion was found preceeding various diagnostics such as thoracocentesis, bacteriological culture, thoracic radiographs and an ultrasound were issued to establish the cause. The surgical approach (medium esternotomy) and the lobectomy the patient suffered from are described. The surgical sample was sent to be analised histopatholoqícally, confirming the pulmonary primary bronchiolar-alvcolar carcinoma diagnostic

Regresión no lineal mediante la evolución de modelos Híbridos de Redes Neuronales

El presente trabajo es una primera aproximación a la formación de modelos de redes neuronales con unidades ocultas de tipo híbrido (sigmoides, producto) que siendo aproximadores universales, puedan utilizarse como modelos no lineales de regresión cuando las características del espacio de las variables independientes lo aconsejen. Dada la dificultad que presenta la aplicación de algoritmos de aprendizaje de búsqueda local para esta tipología de modelos, se utiliza un algoritmo de programación evolutiva donde se definen operadores de mutación específicos. Los experimentos realizados con cuatro funciones de prueba, las tres funciones de Friedman y una propuesta por los autores, muestran resultados muy prometedores en esta direcció

Search for the Higgs boson decays H → ee and H → eμ in pp collisions at √s = 13 TeV with the ATLAS detector

Artículo escrito por un elevado número de autores, sólo se referencian el que aparece en primer lugar, el nombre del grupo de colaboración, si le hubiera, y los autores pertenecientes a la UAMSearches for the Higgs boson decays H→eeand H→eμare performed using data corresponding to an integrated luminosity of 139 fb−1collected with the ATLAS detector in ppcollisions at √s=13 TeV at the LHC. No significant signals are observed, in agreement with the Standard Model expectation. For a Higgs boson mass of 125 GeV, the observed (expected) upper limit at the 95% confidence level on the branching fraction β(H→ee)is 3.6 ×10−4(3.5 ×10−4) and on β(H→eμ)is 6.2 ×10−5(5.9 ×10−5). These results represent improvements by factors of about five and six on the previous best limits on β(H→ee)and β(H→eμ)respectivelyWe acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS, CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZŠ, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, CRC and Compute Canada, Canada; COST, ERC, ERDF, Horizon 2020, and Marie Skłodowska-Curie Actions, European Union; Investissements d' Avenir Labex and Idex, ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; CERCA Programme Generalitat de Catalunya, Spain; The Royal Society and Leverhulme Trust, United Kingdo

A guided data projection technique for classi cation of sovereign ratings: the case of European Union 27

Sovereign rating has had an increasing importance since the beginning of the nancial crisis. However, credit rating agencies opacity has been criticised by several authors highlighting the suitability of designing more objective alternative methods. This paper tackles the sovereign credit rating classi cation problem within an ordinal classi cation perspective by employing a pairwise class distances projection to build a classi cation model based on standard regression techniques. In this work the -SVR is selected as the regressor tool. The quality of the projection is validated through the classi cation results obtained for four performance metrics when applied to Standard & Poors, Moody's and Fitch sovereign rating data of U27 countries during the period 2007-2010. This validated projection is later used for ranking visualization which might be suitable to build a decision support syste