33 research outputs found

    Numerical solution for an inverse variational problem

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    Research partially supported by Junta de Andalucía Grant FQM359. Funding for open access charge: Universidad de Granada /CBUA.Funding Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.In the present work, firstly, we use a minimax equality to prove the existence of a solution to a certain system of varitional equations providing a numerical approximation of such a solution. Then, we propose a numerical method to solve a collage-type inverse problem associated with the corresponding system, and illustrate the behaviour of the method with a numerical example.CRUE-CSIC agreementSpringer Natur

    Boosting classifiers for weed seeds identification

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    The identification and classification of seeds are of major technical and economical importance in the agricultural industry. To automate these activities, like in ocular inspection one should consider seed size, shape, color and texture, which can be obtained from seed images. In this work we complement and expand a previous study on the discriminating power of these characteristics for the unique identification of seeds of 57 weed species. In particular, we establish statistical bounds and confidence levels on the results reported in our preliminary study. Furthermore, we discuss the possibility of improving the naïve Bayes and artificial neural network classifiers previously developed in order to avoid the use of color features as classification parameters. Morphological and textural seed characteristics can be obtained from black and white images, which are easier to process and require a cheaper hardware than color ones. To this end we boost the classification methods by means of the AdaBoost.M1 technique, and compare the results obtained with the performance achieved when using color images. We conclude that the improvement in classification accuracy after boosting the naïve Bayes and neural classifiers does not fully compensate the discriminating power of color characteristics. However, it might be enough to make the classifier still acceptable in practical applications.Eje: VisiónRed de Universidades con Carreras en Informática (RedUNCI

    Boxed ambients with communication interfaces

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    We define BACI (Boxed Ambients with Communication Interfaces), an ambient calculus with a flexible communication policy. Traditionally, typed ambient calculi have a fixed communication policy determining the kind of information that can be exchanged with a parent ambient, even though mobility changes the parent. BACI lifts that restriction, allowing different communication policies with different parents during computation. Furthermore, BACI separates communication and mobility by making the channels of communication between ambients explicit. In contrast with other typed ambient calculi where communication policies are global, each ambient in BACI is equipped with a description of the communication policies ruling its information exchange with parent and child ambients. The communication policies of ambients increase when they move: more precisely, when an ambient enters another ambient, the entering ambient and the host ambient can exchange their communication ports and agree on the kind of information to be exchanged. This information is recorded locally in both ambients. We show the type-soundness of BACI, proving that it satisfies the subject reduction property, and we study its behavioural semantics by means of a labelled transition syste

    Boosting classifiers for weed seeds identification

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    The identification and classification of seeds are of major technical and economical importance in the agricultural industry. To automate these activities, like in ocular inspection one should consider seed size, shape, color and texture, which can be obtained from seed images. In this work we complement previous studies on the discriminating power of these characteristics for the unique identification of seeds of 57 weed species. In particular, we discuss the possibility of improving the naïve Bayes and artificial neural network classifiers previously developed in order to avoid the use of color features as classification parameters. Morphological and textural seed characteristics can be obtained from black and white images, which are easier to process and require a cheaper hardware than color ones. To this end, we boost the classification methods by means of the AdaBoost.M1 technique, and compare the results obtained with the performance achieved when using color images. We conclude that boosting the naïve Bayes and neural classifiers does not fully compensate the discriminating power of color features. However, the improvement in classification accuracy might be enough to make the classifier still acceptable in practical applications.Facultad de Informátic

    Boosting classifiers for weed seeds identification

    Get PDF
    The identification and classification of seeds are of major technical and economical importance in the agricultural industry. To automate these activities, like in ocular inspection one should consider seed size, shape, color and texture, which can be obtained from seed images. In this work we complement and expand a previous study on the discriminating power of these characteristics for the unique identification of seeds of 57 weed species. In particular, we establish statistical bounds and confidence levels on the results reported in our preliminary study. Furthermore, we discuss the possibility of improving the naïve Bayes and artificial neural network classifiers previously developed in order to avoid the use of color features as classification parameters. Morphological and textural seed characteristics can be obtained from black and white images, which are easier to process and require a cheaper hardware than color ones. To this end we boost the classification methods by means of the AdaBoost.M1 technique, and compare the results obtained with the performance achieved when using color images. We conclude that the improvement in classification accuracy after boosting the naïve Bayes and neural classifiers does not fully compensate the discriminating power of color characteristics. However, it might be enough to make the classifier still acceptable in practical applications.Eje: VisiónRed de Universidades con Carreras en Informática (RedUNCI

    Opiniones de farmacéuticos que trabajan en un grupo de farmacias cuya diferenciación es la prestación de servicios de atención farmacéutica. El caso de Farmacias Trébol

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    Introducción: Nos pareció importante estudiar los métodos de trabajo de un grupo de farmacéuticos que ya tienen implantados los servicios de atención farmacéutica (AF) en sus farmacias, con el objetivo de explorar cómo actúan algunos profesionales a la hora de implantar y desarrollar dichos servicios. Método: Durante la segunda quincena de septiembre de 2009 se realizaron 20 entrevistas semiestructuradas a farmacéuticos del grupo Trébol en los distintos establecimientos y locales en Madrid, en las que participaron farmacéuticos que trabajan en las zonas de atención personalizada (ZAP) y otros que desarrollan su labor en el mostrador de las farmacias. Resultados: Algunos entrevistados creen que sólo en las farmacias grandes pueden desarrollarse servicios. Es mejor que la ZAP sea visible desde el exterior, para que llame la atención. Los mostradores individuales favorecen la privacidad. Trabajar con objetivos numéricos es uno de los elementos que facilitan la implantación de estos servicios, que a su vez se traducen en beneficios económicos. Los farmacéuticos entrevistados que trabajan en ZAP están satisfechos con el trabajo que realizan. La AF mejora la imagen de la farmacia en la que se ofrece, y aumenta las ventas farmacéuticas. Algunos afirman que el futuro pasa por convertir la farmacia en un centro de salud, con presencia de profesionales sanitarios de distintos campos, para que el paciente encuentre todos los servicios relacionados con la salud en un único establecimiento. Conclusiones: En Farmacias Trébol se entiende que la AF es una estrategia de negocio que permite la diferenciación respecto a las demás farmacias, es rentable y fideliza a los pacientes

    Opiniones de farmacéuticos que trabajan en un grupo de farmacias cuya diferenciación es la prestación de servicios de atención farmacéutica. El caso de Farmacias Trébol

    Get PDF
    Introducción: Nos pareció importante estudiar los métodos de trabajo de un grupo de farmacéuticos que ya tienen implantados los servicios de atención farmacéutica (AF) en sus farmacias, con el objetivo de explorar cómo actúan algunos profesionales a la hora de implantar y desarrollar dichos servicios. Método: Durante la segunda quincena de septiembre de 2009 se realizaron 20 entrevistas semiestructuradas a farmacéuticos del grupo Trébol en los distintos establecimientos y locales en Madrid, en las que participaron farmacéuticos que trabajan en las zonas de atención personalizada (ZAP) y otros que desarrollan su labor en el mostrador de las farmacias. Resultados: Algunos entrevistados creen que sólo en las farmacias grandes pueden desarrollarse servicios. Es mejor que la ZAP sea visible desde el exterior, para que llame la atención. Los mostradores individuales favorecen la privacidad. Trabajar con objetivos numéricos es uno de los elementos que facilitan la implantación de estos servicios, que a su vez se traducen en beneficios económicos. Los farmacéuticos entrevistados que trabajan en ZAP están satisfechos con el trabajo que realizan. La AF mejora la imagen de la farmacia en la que se ofrece, y aumenta las ventas farmacéuticas. Algunos afirman que el futuro pasa por convertir la farmacia en un centro de salud, con presencia de profesionales sanitarios de distintos campos, para que el paciente encuentre todos los servicios relacionados con la salud en un único establecimiento. Conclusiones: En Farmacias Trébol se entiende que la AF es una estrategia de negocio que permite la diferenciación respecto a las demás farmacias, es rentable y fideliza a los pacientes

    Similarities and differences in the lifestyles of populations using mode 3 technology in North Africa and the south of the Iberian Peninsula

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    In the geohistorical region of the Strait of Gibraltar, which includes the south of the Iberian Peninsula and North Africa, important research has been carried out in recent years. This research has allowed us to document the presence of human groups as early as the Middle Pleistocene. Classical anthropology refers to these groups using various terms Homo Neanderthalensis in the south of Europe and Homo sapiens sapiens in North Africa). The current records exhibit important similarities concerning lithic technology (the so-called ‘Mode 3’, ‘Mousterian’ or ‘Middle Stone Age’), and the exploitation of marine resources. From an anthropological or cultural perspective, both groups were hunter-gatherers with similar lifestyles. Bearing these similarities in mind, three hypotheses are here presented

    Shells and humans: molluscs and other coastal resources from the earliest human occupations at the Mesolithic shell midden of El Mazo (Asturias, Northern Spain)

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    Human populations exploited coastal areas with intensity during the Mesolithic in Atlantic Europe, resulting in the accumulation of large shell middens. Northern Spain is one of the most prolific regions, and especially the so-called Asturian area. Large accumulations of shellfish led some scholars to propose the existence of intensification in the exploitation of coastal resources in the region during the Mesolithic. In this paper, shell remains (molluscs, crustaceans and echinoderms) from stratigraphic units 114 and 115 (dated to the early Mesolithic c. 9 kys cal BP) at El Mazo cave (Asturias, northern Spain) were studied in order to establish resource exploitation patterns and environmental conditions. Species representation showed that limpets, top shells and sea urchins were preferentially exploited. One-millimetre mesh screens were crucial in establishing an accurate minimum number of individuals for sea urchins and to determine their importance in exploitation patterns. Environmental conditions deduced from shell assemblages indicated that temperate conditions prevailed at the time of the occupation and the morphology of the coastline was similar to today (rocky exposed shores). Information recovered relating to species representation, collection areas and shell biometry reflected some evidence of intensification (reduced shell size, collection in lower areas of exposed shores, no size selection in some units and species) in the exploitation of coastal resources through time. However, the results suggested the existence of changes in collection strategies and resource management, and periods of intense shell collection may have alternated with times of shell stock recovery throughout the Mesolithic.This research was performed as part of the project “The human response to the global climatic change in a littoral zone: the case of the transition to the Holocene in the Cantabrian coast (10,000–5000 cal BC) (HAR2010-22115-C02-01)” funded by the Spanish Ministry of Economy and Competitiveness. AGE was funded by the University of Cantabria through a predoctoral grant and IGZ was funded by the Spanish Ministry of Economy and Competitiveness through a Juan de la Cierva grant. We also would like to thank the University of Cantabria and the IIIPC for providing support, David Cuenca-Solana, Alejandro García Moreno and Lucia Agudo Pérez for their help. We also thank Jennifer Jones for correcting the English. Comments from two anonymous reviewers helped to improve the paper

    Detailed stratified GWAS analysis for severe COVID-19 in four European populations

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    Given the highly variable clinical phenotype of Coronavirus disease 2019 (COVID-19), a deeper analysis of the host genetic contribution to severe COVID-19 is important to improve our understanding of underlying disease mechanisms. Here, we describe an extended genome-wide association meta-analysis of a well-characterized cohort of 3255 COVID-19 patients with respiratory failure and 12 488 population controls from Italy, Spain, Norway and Germany/Austria, including stratified analyses based on age, sex and disease severity, as well as targeted analyses of chromosome Y haplotypes, the human leukocyte antigen region and the SARS-CoV-2 peptidome. By inversion imputation, we traced a reported association at 17q21.31 to a ~0.9-Mb inversion polymorphism that creates two highly differentiated haplotypes and characterized the potential effects of the inversion in detail. Our data, together with the 5th release of summary statistics from the COVID-19 Host Genetics Initiative including non-Caucasian individuals, also identified a new locus at 19q13.33, including NAPSA, a gene which is expressed primarily in alveolar cells responsible for gas exchange in the lung.S.E.H. and C.A.S. partially supported genotyping through a philanthropic donation. A.F. and D.E. were supported by a grant from the German Federal Ministry of Education and COVID-19 grant Research (BMBF; ID:01KI20197); A.F., D.E. and F.D. were supported by the Deutsche Forschungsgemeinschaft Cluster of Excellence ‘Precision Medicine in Chronic Inflammation’ (EXC2167). D.E. was supported by the German Federal Ministry of Education and Research (BMBF) within the framework of the Computational Life Sciences funding concept (CompLS grant 031L0165). D.E., K.B. and S.B. acknowledge the Novo Nordisk Foundation (NNF14CC0001 and NNF17OC0027594). T.L.L., A.T. and O.Ö. were funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), project numbers 279645989; 433116033; 437857095. M.W. and H.E. are supported by the German Research Foundation (DFG) through the Research Training Group 1743, ‘Genes, Environment and Inflammation’. L.V. received funding from: Ricerca Finalizzata Ministero della Salute (RF-2016-02364358), Italian Ministry of Health ‘CV PREVITAL’—strategie di prevenzione primaria cardiovascolare primaria nella popolazione italiana; The European Union (EU) Programme Horizon 2020 (under grant agreement No. 777377) for the project LITMUS- and for the project ‘REVEAL’; Fondazione IRCCS Ca’ Granda ‘Ricerca corrente’, Fondazione Sviluppo Ca’ Granda ‘Liver-BIBLE’ (PR-0391), Fondazione IRCCS Ca’ Granda ‘5permille’ ‘COVID-19 Biobank’ (RC100017A). A.B. was supported by a grant from Fondazione Cariplo to Fondazione Tettamanti: ‘Bio-banking of Covid-19 patient samples to support national and international research (Covid-Bank). This research was partly funded by an MIUR grant to the Department of Medical Sciences, under the program ‘Dipartimenti di Eccellenza 2018–2022’. This study makes use of data generated by the GCAT-Genomes for Life. Cohort study of the Genomes of Catalonia, Fundació IGTP (The Institute for Health Science Research Germans Trias i Pujol) IGTP is part of the CERCA Program/Generalitat de Catalunya. GCAT is supported by Acción de Dinamización del ISCIII-MINECO and the Ministry of Health of the Generalitat of Catalunya (ADE 10/00026); the Agència de Gestió d’Ajuts Universitaris i de Recerca (AGAUR) (2017-SGR 529). M.M. received research funding from grant PI19/00335 Acción Estratégica en Salud, integrated in the Spanish National RDI Plan and financed by ISCIII-Subdirección General de Evaluación and the Fondo Europeo de Desarrollo Regional (European Regional Development Fund (FEDER)-Una manera de hacer Europa’). B.C. is supported by national grants PI18/01512. X.F. is supported by the VEIS project (001-P-001647) (co-funded by the European Regional Development Fund (ERDF), ‘A way to build Europe’). Additional data included in this study were obtained in part by the COVICAT Study Group (Cohort Covid de Catalunya) supported by IsGlobal and IGTP, European Institute of Innovation & Technology (EIT), a body of the European Union, COVID-19 Rapid Response activity 73A and SR20-01024 La Caixa Foundation. A.J. and S.M. were supported by the Spanish Ministry of Economy and Competitiveness (grant numbers: PSE-010000-2006-6 and IPT-010000-2010-36). A.J. was also supported by national grant PI17/00019 from the Acción Estratégica en Salud (ISCIII) and the European Regional Development Fund (FEDER). The Basque Biobank, a hospital-related platform that also involves all Osakidetza health centres, the Basque government’s Department of Health and Onkologikoa, is operated by the Basque Foundation for Health Innovation and Research-BIOEF. M.C. received Grants BFU2016-77244-R and PID2019-107836RB-I00 funded by the Agencia Estatal de Investigación (AEI, Spain) and the European Regional Development Fund (FEDER, EU). M.R.G., J.A.H., R.G.D. and D.M.M. are supported by the ‘Spanish Ministry of Economy, Innovation and Competition, the Instituto de Salud Carlos III’ (PI19/01404, PI16/01842, PI19/00589, PI17/00535 and GLD19/00100) and by the Andalussian government (Proyectos Estratégicos-Fondos Feder PE-0451-2018, COVID-Premed, COVID GWAs). The position held by Itziar de Rojas Salarich is funded by grant FI20/00215, PFIS Contratos Predoctorales de Formación en Investigación en Salud. Enrique Calderón’s team is supported by CIBER of Epidemiology and Public Health (CIBERESP), ‘Instituto de Salud Carlos III’. J.C.H. reports grants from Research Council of Norway grant no 312780 during the conduct of the study. E.S. reports grants from Research Council of Norway grant no. 312769. The BioMaterialBank Nord is supported by the German Center for Lung Research (DZL), Airway Research Center North (ARCN). The BioMaterialBank Nord is member of popgen 2.0 network (P2N). P.K. Bergisch Gladbach, Germany and the Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases, University of Cologne, Cologne, Germany. He is supported by the German Federal Ministry of Education and Research (BMBF). O.A.C. is supported by the German Federal Ministry of Research and Education and is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy—CECAD, EXC 2030–390661388. The COMRI cohort is funded by Technical University of Munich, Munich, Germany. This work was supported by grants of the Rolf M. Schwiete Stiftung, the Saarland University, BMBF and The States of Saarland and Lower Saxony. K.U.L. is supported by the German Research Foundation (DFG, LU-1944/3-1). Genotyping for the BoSCO study is funded by the Institute of Human Genetics, University Hospital Bonn. F.H. was supported by the Bavarian State Ministry for Science and Arts. Part of the genotyping was supported by a grant to A.R. from the German Federal Ministry of Education and Research (BMBF, grant: 01ED1619A, European Alzheimer DNA BioBank, EADB) within the context of the EU Joint Programme—Neurodegenerative Disease Research (JPND). Additional funding was derived from the German Research Foundation (DFG) grant: RA 1971/6-1 to A.R. P.R. is supported by the DFG (CCGA Sequencing Centre and DFG ExC2167 PMI and by SH state funds for COVID19 research). F.T. is supported by the Clinician Scientist Program of the Deutsche Forschungsgemeinschaft Cluster of Excellence ‘Precision Medicine in Chronic Inflammation’ (EXC2167). C.L. and J.H. are supported by the German Center for Infection Research (DZIF). T.B., M.M.B., O.W. und A.H. are supported by the Stiftung Universitätsmedizin Essen. M.A.-H. was supported by Juan de la Cierva Incorporacion program, grant IJC2018-035131-I funded by MCIN/AEI/10.13039/501100011033. E.C.S. is supported by the Deutsche Forschungsgemeinschaft (DFG; SCHU 2419/2-1).Peer reviewe
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