966 research outputs found

    Pulmonary thromboembolism and alveolar hemorrhage as initial manifestations of systemic lupus erythematosus

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    Systemic lupus erythematosus (SLE) is an autoimmune disease that affects multiple organs. SLE can affect the lung, the pulmonary vasculature, and the pleura. A 38-year-old female with limb pain and ecchymosis who later developed pulmonary thromboembolism and alveolar hemorrhage is presented here. Clinical, imaging, laboratory, and histopathological evidence is presented. The patient met the European League Against Rheumatism (EULAR) and the American College of Rheumatology (ACR) criteria for SLE. Furthermore, the patient had a Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2K) score of 35; thus, indicating severe disease. This case is an example of concomitant venous and arterial lung complications in an SLE patient

    NADPH Oxidase-Dependent Superoxide Production in Plant Reproductive Tissues

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    In the life cycle of a flowering plant, the male gametophyte (pollen grain) produced in the anther reaches the stigmatic surface and initiates the pollen–pistil interaction, an important step in plant reproduction, which ultimately leads to the delivery of two sperm cells to the female gametophyte (embryo sac) inside the ovule. The pollen tube undergoes a strictly apical expansion characterized by a high growth rate, whose targeting should be tightly regulated. A continuous exchange of signals therefore takes place between the haploid pollen and diploid tissue of the pistil until fertilization. In compatible interactions, theses processes result in double fertilization to form a zygote (2n) and the triploid endosperm. Among the large number of signaling mechanisms involved, the redox network appears to be particularly important. Respiratory burst oxidase homologs (Rbohs) are superoxide-producing enzymes involved in a broad range of processes in plant physiology. In this study, we review the latest findings on understanding Rboh activity in sexual plant reproduction, with a particular focus on the male gametophyte from the anther development stages to the crowning point of fertilization. Rboh isoforms have been identified in both the male and female gametophyte and have proven to be tightly regulated. Their role at crucial points such as proper growth of pollen tube, self-incompatibility response and eventual fertilization is discussed. [EN]European Regional Development Fund (ERDF) co-financed grants: BFU2008-006292, BFU2011-22779, CSIC-201540E065, and RECUPERA2020-3.1.4.Peer reviewe

    Incidencia de los Choques Externos y Domésticos sobre la Dinámica de la Inflación: Evidencia a partir de un VAR Bayesiano

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    This paper analyzes the effect of an oil shock on some key macroeconomic variables for the case of the Dominican Republic, particularly the response of inflation and real economic activity. In addition, the elasticity of short run and long run term on petroleum derivatives commonly used in the Dominican Republic are estimated. A Bayesian VAR is used to evaluate the effect of an unanticipated increase of 10% in the price of oil. wing conclusions: 1) changes in oil prices have significant effects on the dynamics of non-core component of inflation, as well as other macroeconomic variables, except for core inflation; 2) to curb inflation, monetary policy reacts in a restrictive way, resulting in a temporary appreciation of the real exchange rate, as a result of rising interest rates; 3) real economic activity responds negatively deviating from its long-term trend with effects that persists over one year 4) last, but not least: historical decomposition shows that the non-core component of inflation is explained by a decrease of oil prices

    Incidencia de los Choques Externos y Domésticos sobre la Dinámica de la Inflación: Evidencia a partir de un VAR Bayesiano

    Get PDF
    This paper analyzes the effect of an oil shock on some key macroeconomic variables for the case of the Dominican Republic, particularly the response of inflation and real economic activity. In addition, the elasticity of short run and long run term on petroleum derivatives commonly used in the Dominican Republic are estimated. A Bayesian VAR is used to evaluate the effect of an unanticipated increase of 10% in the price of oil. wing conclusions: 1) changes in oil prices have significant effects on the dynamics of non-core component of inflation, as well as other macroeconomic variables, except for core inflation; 2) to curb inflation, monetary policy reacts in a restrictive way, resulting in a temporary appreciation of the real exchange rate, as a result of rising interest rates; 3) real economic activity responds negatively deviating from its long-term trend with effects that persists over one year 4) last, but not least: historical decomposition shows that the non-core component of inflation is explained by a decrease of oil prices

    Analyzing Variable Human Actions for Robotic Process Automation

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    Robotic Process Automation (RPA) provides a means to automate mundane and repetitive human tasks. Task Mining approaches can be used to discover the actions that humans take to carry out a particular task. A weakness of such approaches, however, is that they cannot deal well with humans who carry out the same task differently for different cases according to some hidden rule. The logs that are used for Task Mining generally do not contain sufficient data to distinguish the exact drivers behind this variability. In this paper, we propose a new Task Mining framework that has been designed to support engineers who wish to apply RPA to a task that is subject to variable human actions. This framework extracts features from User Interface (UI) Logs that are extended with a new source of data, namely screen captures. The framework invokes Supervised Machine Learning algorithms to generate decision models, which characterize the decisions behind variable human actions in a machine-and-human-readable form. We evaluated the pro posed Task Mining framework with a set of synthetic UI Logs. Despite the use of only relatively small logs, our results demonstrate that a high accuracy is generally achieved.Ministerio de Ciencia, Innovación y Universidades PID2019-105455GB-C31 (NICO)Centro para el Desarrollo Tecnológico Industrial (CDTI) EXP 00130458/IDI-20210319-P018-20/E09 (CODICE

    Expressing Measurement Uncertainty in OCL/UML Datatypes

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    Uncertainty is an inherent property of any measure or estimation performed in any physical setting, and therefore it needs to be considered when modeling systems that manage real data. Although several modeling languages permit the representation of measurement uncertainty for describing certain system attributes, these aspects are not normally incorporated into their type systems. Thus, operating with uncertain values and propagating uncertainty are normally cumbersome processes, di cult to achieve at the model level. This paper proposes an extension of OCL and UML datatypes to incorporate data uncertainty coming from physical measurements or user estimations into the models, along with the set of operations de ned for the values of these types.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

    The Presence of Precursors of Benign Pre-B Lymphoblasts (Hematogones) in the Bone Marrow of a Paediatric Patient with Cytomegalovirus Infection

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    Hematogones are normal B-lymphoid precursors that multiply in the bone marrow of small children and of adults with ferropenic anaemia, neuroblastoma or idiopathic thrombocytopenic purpura. They are not normally found in peripheral blood, and the immunophenotype is virtually indistinguishable from that of B lymphoblasts. We discuss the case of a 3-month infant with an active cytomegalovirus infection, with hepatitis and pancytopenia associated with 13% hematogones in the bone marrow
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