9,556 research outputs found

    The atlantic side of the iberian peninsula: a hot-spot of novel maternal honey bee diversity

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    The Iberian Peninsula harbors one the highest mitocondrial DNA (mtDNA) diversity ever reported for honey bee subspecies. This finding is explained not only by the co-occurrence of two divergent evolutionary lineages, western European (lineage M) and African (lineage A), but also by the higher variability of African and western European haplotypes. Indeed, over 36 haplotypes of western European and African ancestry, which form complex networks, have been reported for this area of the honey bee natural range. While studies on the diversity patterns of central and Mediterranean Iberian populations are abundant, the genetic composition of populations inhabiting the Atlantic side was until recently virtually unknown. Using the popular DraI test (PCR amplification and restriction of the intergenic tRNAleu-coxII region) we performed a fine scale genetic survey of the honey bee populations from Portugal. Adding to the 24 previously described African haplotypes, of which 17 are found in the Iberian Peninsula, 13 unreported haplotypes of African ancestry were found in our survey, which represent an addition of 54% of new variation. The fragment sizes ranged from approximately 800 to 1200 bp and the restriction length of the new haplotypes were very distinct from those reported in the literature. To further confirm the novelty of these haplotypes, we sequenced the aforementioned mtDNA region. Herein we present a phylogenetic analysis of these novel haplotypes

    Patrón espacial de la variación molecular de Apis mellifera en Gran Canaria y la Gomera (Islas Canarias)

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    Las islas del Archipiélago Canario presentan condiciones ambientales variables según su altitud, latitud y longitud, lo cual influye en la distribución de los organismos. En relación con la abeja de la miel (Apis mellifera L.), estudios previas realizados por De la Rúa et a I. ( 1998) Y por Padilla-Álvarez et al. (1998), sugieren la existencia en las Islas Canarias de poblaciones que han evolucionado de una forma relativamente aislada y que se han adaptado en cada isla a unas determinadas condiciones ambientales. Las abejas canarias fueron incluí das en un sublinaje de distribución atlántica (AIII) del linaje evolutivo africano, en el cual se circunscriben las poblaciones de abejas de los Archipiélagos Maearonésicos (Islas Azores, Madeira, Islas Salvajes, Islas Canarias y Cabo Verde) y de Portugal. En el presente trabajo se presentan los resultados del estudio de la variabilidad molecular al nivel mitocondrial (ADNmt), de las poblaciones de abejas de la miel en las islas canarias de Gran Canaria y La Gomera mediante el análisis de la región intergénica del ADNmt comprendida entre los genes del ARN transferente de la leucina (ARNtleu) y la subunidad II de la citocromo oxidasa (cox2). Este marcador es adecuado para estimar la diversidad genética y los patrones de diferenciación espacial, en relación con la variedad ambiental existente en las islas de Gran Canaria y La Gomera

    INFLUENCE OF ANKLE PASSIVE RANGE OF MOTION ON THE PERFORMANCE OF THE STAR EXCURSION BALANCE TEST

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    The purpose of this study was to measure the association between ankle passive range of motion (PROM) and the horizontal distance reached during the Star Excursion Balance Test (SEBT). Nineteen participants without any musculoskeletal and neurological injury performed the SEBT on eight directions proposed in the original protocol. The ankle PROM was measured with a manual goniometric device prior to the performance of the test. To determine the association between the distance reached during SEBT and the ankle PROM, we used the Pearson Correlation Coefficient Test (“r”). All directions of SEBT showed low correlation with the ankle PROM without significant differences for any variable. We concluded that the ankle PROM is not a confounding variable that should be monitored for use the SEBT for healthy individuals

    Modeling of Path Loss for RadioWave Propagation in Wireless Sensor Networks in Cassava Crops Using Machine Learning

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    Modeling radio signal propagation remains one of the most critical tasks in the planning of wireless communication systems, including wireless sensor networks (WSN). Despite the existence of a considerable number of propagation models, the studies aimed at characterizing the attenuation in the wireless channel are still numerous and relevant. These studies are used in the design and planning of wireless networks deployed in various environments, including those with abundant vegetation. This paper analyzes the performance of three vegetation propagation models, ITU-R, FITU-R, and COST-235, and compares them with path loss measurements conducted in a cassava field in Sincelejo, Colombia. Additionally, we applied four machine learning techniques: linear regression (LR), k-nearest neighbors (K-NN), support vector machine (SVM), and random forest (RF), aiming to enhance prediction accuracy levels. The results show that vegetation models based on traditional approaches are not able to adequately characterize attenuation, while models obtained by machine learning using RF, K-NN, and SVM can predict path loss in cassava with RMSE and MAE values below 5 dB

    Design of a low cost weather station for detecting environmental changes

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    El objetivo de esta investigación es desarrollar un prototipo de estación meteorológica secundaria para mediciones de temperatura, humedad y presión atmosférica. Para validar la operación, se realizó un análisis de varianza y un diseño experimental r&R. Los sensores TMP36, RHT03 y BMP085 fueron seleccionados para la plataforma Arduino UNO y calibrados con una estación meteorológica y un higrómetro digital certificado por las autoridades. Nuestro sistema utiliza hardware y software abiertos y es una estación meteorológica de bajo costo diseñada para el análisis ambiental.The aim of this research is to develop a secondary weather station prototype for measurements of temperature, humidity and atmospheric pressure. To validate the operation, a variance analysis and an experimental design r&R were conducted. The TMP36, RHT03 and BMP085 sensors were selected for Arduino UNO platform and calibrated with a weather station and a digital hygrometer certifies by the authorities. Our system uses open hardware and software and is a low cost weather station designed for environmental analysi

    Polymorphisms in cytochrome P450 versus cline distribution of evolutionary lineages in Apis mellifera iberiensis

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    Honey bees (Apis mellifera) are the most prominent and economically important pollinator species worldwide. However, the reported decline of its populations in several regions of the world over the last decades is of concern. The causes are manifold, including the spread of pathogens and parasites, malnutrition and habitat loss, climate change and xenobiotics, especially pesticides. Among the main mechanisms used by insects to cope with the adverse effects of xenobiotics is the metabolic resistance mediated mainly by three superfamilies of enzymes: the cytochrome P450 monooxygenases, the glutathione transferases and the carboxylesterases. We hypothesize that the genetic background influences the sensitivity to pesticides or detoxification capacity of different honey bee populations, ecotypes and subspecies. The Iberian Peninsula provides an interesting scenario to study the genetic variability of the cytochrome P450 genes given the co-occurrence of two clinally distributed evolutionary lineages, as a result of secondary contact. In this study, the genetic variability of six genes of the cytochrome P450 superfamily (CYP6AS3, CYP6AS4, CYP6AS5, CYP6AS7, CYP6AS12 and CYP6AS17) was analyzed in the Iberian honey bee (Apis mellifera iberiensis) to provide more information on the mechanisms of resistance to xenobiotics and to identify the genetic variation involved in local adaptation. Genomic signal of selective sweeps was detected in three genes, of which CYP6AS5 presents the highest number of point mutations under selection, being proposed as a candidate gene to perform gene expression studies. We discuss the correlation between the variability of P450 genes and the distribution of the evolutionary lineages in the Iberian Peninsula. The identification of polymorphisms in these genes promises to shed light on the relationship between diversity and xenobiotic tolerance of A. m. iberiensis.info:eu-repo/semantics/publishedVersio

    Logística reversa : oportunidade para redução de custos através do gerenciamento da cadeia integrada de valor

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    O artigo discorre sobre um aspecto da Logística que só agora começa a ser olhado mais atentamente pelas empresas. Enquanto a logística tradicional trata do fluxo de saída dos produtos, a Logística Reversa tem que se preocupar com o retorno de produtos, materiais e peças ao processo de produção da empresa. Devido a legislações ambientais mais severas e maior consciência por parte dos consumidores, as empresas estão não só utilizando uma maior quantidade de materiais reciclados como também tendo que se preocupar com o descarte ecologicamente correto de seus produtos ao final de seu ciclo de vida. Além disto, muitas firmas têm feito da Logística Reversa uma arma estratégica em seu planejamento de negócios. Tudo isto vem fortalecer o desenvolvimento da Logística Reversa nas empresas. E no caso brasileiro de acordos a especialistas de logística reversa esta área vem sendo considerada como um elemento importante no planejamento estratégico das organizações para adequá-las à legislação do meio ambiente atual. O trabalho vem mostrar oportunidades em redução de custos através do gerenciamento da cadeia de valor da empresa, com o envolvimento de todos os componentes. O método utilizado é o de estudo de caso em uma empresa do setor de refrigerantes

    Applying an unified access control for IoT-based Intelligent Agent Systems

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    IEEE 8th International Conference on Service-Oriented Computing and Applications (SOCA), 19/10/2015-21/10/2015, Roma, ItaliaThe rise of the Internet of Things (IoT) paradigm has allowed the design and development of new services interconnecting heterogeneous devices. However, the complexity of these new systems hasn"t been followed by the increase of intelligence and reasoning of the devices connected. On the other hand, intelligent agent systems have developed precisely these characteristics so the combination of both paradigms by modelling intelligent agents in IoT devices is a very promising approach that will enable a more powerful and smart IoT. The interconnection of agents through a Internet-based network implies addressing critical issues that affect all network communications, such as security, privacy and access control, specially given the sensitivity of the information exchanged by agents. In this paper, we propose the application of User-Managed Access (UMA) to provide an unified access control schema for an heterogeneous hybrid architecture of IoT devices and intelligent agents.Ministerio de Economía y Competitivida

    Intelligent Traffic Light Management using Multi-Behavioral Agents

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    XIII Jornadas de Ingeniería Telemática, 27/09/2017-29/09/2017, Valencia, EspañaOne of the biggest challenges in modern societies is to solve vehicular traffic problems. In this scenario, our proposal is to use a Multi-Agent Systems (MAS) composed of three types of agent: traffic light management agents, traffic jam detection agents, and agents that control the traffic lights at an intersection. This third type of agent is able to change its behaviour between what we have called a selfish mode (the agent will try to influence the other neighbour agents of its type to achieve its goal) or an altruistic mode (the agent will take into consideration the other neighbour selfish agents indications). To validate our solution, we have developed a MAS emulator which communicates with the Simulation of Urban MObility (SUMO) traffic simulator using the Traci tool to realize the experiments in a realistic environment. The obtained results show that our proposal is able to improve other existing solutions such as conventional traffic light management systems (static or dynamic) in terms of reduction of vehicle trip duration
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