464 research outputs found

    Detection of a multi-shell planetary nebula around the hot subdwarf O-type star 2MASS J19310888+4324577

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    (Abridged) The origin of hot subdwarf O-type stars (sdOs) remains unclear since their discovery in 1947. Among others, a post-Asymptotic Giant Branch (post-AGB) origin is possible for a fraction of sdOs. We are involved in a comprehensive ongoing study to search for and to analyze planetary nebulae (PNe) around sdOs with the aim of establishing the fraction and properties of sdOs with a post-AGB origin. We use deep Halpha and [OIII] images of sdOs to detect nebular emission and intermediate resolution, long-slit optical spectroscopy of the detected nebulae and their sdO central stars. These data are complemented with other observations for further analysis of the detected nebulae. We report the detection of an extremely faint, complex PN around 2MASS J19310888+4324577 (2M1931+4324), a star classified as sdO in a binary system. The PN shows a bipolar and an elliptical shell, whose major axes are oriented perpendicular to each other, and high-excitation structures outside the two shells. WISE archive images show faint, extended emission at 12 and 22 microns in the inner nebular regions. The internal nebular kinematics is consistent with a bipolar and a cylindrical/ellipsoidal shell, in both cases with the main axis mainly perpendicular to the line of sight. The nebular spectrum only exhibits Halpha, Hbeta and [OIII]4959,5007 emission lines, but suggests a very low-excitation ([OIII]/Hbeta = 1.5), in strong contrast with the absence of low-excitation emission lines. The spectrum of 2M1931+4324 presents narrow, ionized helium absorptions that confirm the previous sdO classification and suggest an effective temperature >= 60000 K. The binary nature of 2M1931+4324, its association with a complex PN, and several properties of the system provide strong support for the idea that binary central stars are a crucial ingredient in the formation of complex PNe.Comment: 8 pages, 7 figures, accepted in Astronomy and Astrophysic

    A high-performance IoT solution to reduce frost damages in stone fruits

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    [EN] Agriculture is one of the key sectors where technology is opening new opportunities to break up the market. The Internet of Things (IoT) could reduce the production costs and increase the product quality by providing intelligence services via IoT analytics. However, the hard weather conditions and the lack of connectivity in this field limit the successful deployment of such services as they require both, ie, fully connected infrastructures and highly computational resources. Edge computing has emerged as a solution to bring computing power in close proximity to the sensors, providing energy savings, highly responsive web services, and the ability to mask transient cloud outages. In this paper, we propose an IoT monitoring system to activate anti-frost techniques to avoid crop loss, by defining two intelligent services to detect outliers caused by the sensor errors. The former is a nearest neighbor technique and the latter is the k-means algorithm, which provides better quality results but it increases the computational cost. Cloud versus edge computing approaches are analyzed by targeting two different low-power GPUs. Our experimental results show that cloud-based approaches provides highest performance in general but edge computing is a compelling alternative to mask transient cloud outages and provide highly responsive data analytic services in technologically hostile environments.This work was partially supported by the Fundación Séneca del Centro de Coordinación de la Investigación de la Región de Murcia under Project 20813/PI/18, and by Spanish Ministry of Science, Innovation and Universities under grants TIN2016-78799-P (AEI/FEDER, UE) and RTC-2017-6389-5. Finally, we thank the farmers for the availability of their resources to be able to asses and improve the IoT monitoring system proposed.Guillén-Navarro, MA.; Martínez-España, R.; López, B.; Cecilia-Canales, JM. (2021). A high-performance IoT solution to reduce frost damages in stone fruits. Concurrency and Computation: Practice and Experience (Online). 33(2):1-14. https://doi.org/10.1002/cpe.529911433

    Papel de los comités de participación ciudadana en la gestión del gobierno municipal: Caso Municipio de Monterrey = Role of participating civic committees in managing municipality governments: The case of Monterrey Municipality.

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    Abstract. The fundamental basics of participating civic committees with regards to the governmental decision making at the municipality levels are described. An example and a practical case resulting from research on participation of these committees for the Monterrey municipality are provided. The role of these civic participating committees in good democratic functioning and correct achievement of the aims of the governmental plans for the enhancement and improvement of the sociopolitical, economical and environmental quality of citizen’s life are discussed. Resumen. Se describen las bases fundamentales de la participación de los comités ciudadanas en la toma de decisiones gubernamentales a nivel de los gobiernos municipales. Se presenta un caso y un ejemplo práctico, como resultado de una investigación de la participación de estos comités para el municipio de Monterrey. Se discuta el papel de la participación de estos comités ciudadanos para la buena marcha democrática y el logro correcto de los objetivos de los planes gubernamentales para mantener y elevar la calidad sociopolítica, económica y ambiental de la vida de los ciudadanos

    La participación ciudadana como elemento legitimador del gobierno = Civic participation as a legitimizing governmental element.

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    Abstract. The technological changes and the information flowing in continuous and global form has taken to westernized societies to be exposed to relative data of what happens in their community and in distant communities territorially. The information causes that the citizens have an opinion before the decisions and the governments' actions, and when a decision affects its personal sphere negatively, it feels the impulse of to act and to take a grade of control of the decision that impacts in its person and in its collective or union. The particular matters that the civic participation takes to the public light spread easily to arrive to the political calendar, for what the government reacts quickly to their demands, before the threat that the public opinion reduces its genuineness and get lost to be able to. This massive information and the positive discrimination have caused that the civic participation has increased considerably for benefit from the society when being listened their demands and of the governments because if they act unerringly they can increase its genuineness. Resumen. Los cambios tecnológicos y la información fluyendo en forma continua y global ha llevado a la sociedades occidentalizadas a estar expuestas a datos relativos de lo que sucede en su comunidad y en comunidades lejanas territorialmente. La información provoca que los ciudadanos tengamos una opinión ante las decisiones y acciones de los gobiernos, y cuando una decisión afecta negativamente su esfera personal, siente el impulso de actuar y tomar un grado de control de la decisión que impacta en su persona y en su colectividad o gremio. Los asuntos particulares que la participación ciudadana lleva a la luz pública tienden fácilmente a llegar a la agenda política, por lo que el gobierno reacciona rápidamente a sus demandas, ante la amenaza de que la opinión pública reduzca su legitimidad y se pierda poder. Esta información masiva y la discriminación positiva han provocado que la participación ciudadana haya aumentado considerablemente para beneficio de la sociedad al ser escuchadas sus demandas y de los gobiernos porque si actúan certeramente pueden aumentar su legitimidad

    A Review of the Data-Information-Knowledge Chain from the Pragmatism of Peirce

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    The Data-Information-Knowledge (DIC) Chain, known as "Information Hierarchy" or "Knowledge Pyramid", is one of the most important models in Information Management and Knowledge Management. In general, the structure of the DIC Chain has been defined as an architecture in which each element stands on the next lower element; however there does not exit a consensus neither about the definition of its elements nor about the processes that transform an item from one level to the next level one. In this paper we review the DIC Chain through the most relevant definitions about its elements and its articulation in the literature, in order to synthesize the most common meanings. In addition, the elements of the DIC Chain are analyzed from the semiotics of Peirce; this approach allows us to clarify the meaning and identify differences, relationships and the roles that they play in the chain from the point of view of pragmatism. Finally we propose a definition of the DIC Chain supported by the Peirce’s triadic categories of signs and unlimited semiosis, along with the levels of the Stamper’s systems of signs and Zeleny's metaphors

    An Ensemble-based Machine Learning Model for Investigating Children Interaction with Robots in Childhood Education

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    "Investing in children's well-being and supporting high-quality pre-school education is a significant component of its promotion (ECE). All children have the right to participate. ECE teachers' thoughts about children's participation were examined to see if they were linked to children's perceptions of their participation. On the other hand, current studies focus on a single categorization method with lower overall accuracy. The findings of this study provided the basis for the development of an ensemble machine learning (ML) approach for measuring the participation of children with learning disabilities in educational situations that were specifically developed for them. Visual and auditory data are collected and analyzed to determine whether or not the youngster is engaged during the robot-child interaction in this manner. It is proposed that an ensemble ML technique (Enhanced Deep Neural Network (EDNN), Modified Extreme Gradient Boost Classifier, and Logistic Regression) be used to judge whether or not a youngster is actively engaged in the learning process. Children's participation in ECE courses depends on both the quantitative and qualitative characteristics of the classroom, according to this research.

    Analysis of bacterial communities of infected primary teeth in a Mexican population

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    The objective of this study was to describe the bacterial communities associated with pediatric patients with endodontic infections of temporal teeth by targeting the 16S rRNA gene using pyrosequencing. Microbiological samples were obtained from the lower primary molars of thirteen 13 pediatric patients with dental infections. An aspiration method for microbiological sampling was used. The identification of microbiota employing the pyrosequencing method by targeting the 16S gene was performed. Ribosomal 16S RNA gene sequences were amplified, obtaining a total of 16,182 sequences from 13 primary infected molars (13 different individuals) by pyrosequencing. Bacteroidetes phyla (35.15%) were the most abundant followed by Firmicutes (33.3%) and Fusobacteria (10.05%); the presence of specific pathogenic bacteria was determined as well. The infected root canal of primary teeth contains a high diversity of anaerobic bacteria, and Bacteroidetes, Firmicutes, and Fusobacteria phyla were the most abundant; Prevotella and Streptococcus genera were the most prevalent
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