20 research outputs found

    Acute Cavernous Sinus Syndrome from Metastasis of Lung Cancer to Sphenoid Bone

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    Cavernous sinus syndrome is a rare entity in oncology reported only in occasional case reports. Optimal therapy is thus poorly defined with rapidly progressive disease dominating the picture. Management includes prompt diagnosis, attempts at stabilization of cranial nerve function, and aggressive control of central pain syndrome. Here, we report cavernous sinus syndrome secondary to the original squamous cell carcinoma of the lung. With common presenting causes of this syndrome being infection, thrombosis or tumor, it might seem that metastatic tumor would be expected in a patient with a cancer diagnosis. What was not so expected was the extremely rapid progression from mild headache and mild trigeminal neuralgia with negative-contrast head CT to a massive, destructive lesion involving several skull bones and skull base, only 3 weeks later. In addition, the patient was severely immunosuppressed at the completion of induction chemotherapy. Infectious processes, although unlikely, were considered, as aggressive cancer therapy (including high-dose steroids and radiation therapy) had no impact on this disease. Despite accurate localization, the aggressive nature of this disease with massive bone destruction and dural thickening limited any chance of a durable control. We discuss the process of evaluation, diagnosis and treatment of symptoms and the importance of a team approach to best palliate these unfortunate patients

    First wave of COVID-19 in Venezuela:Epidemiological, clinical, and paraclinical characteristics of first cases

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    The coronavirus disease 2019 (COVID-19) pandemic has particularly affected countries with weakened health services in Latin America, where proper patient management could be a critical step to address the epidemic. In this study, we aimed to characterize and identify which epidemiological, clinical, and paraclinical risk factors defined COVID-19 infection from the first confirmed cases through the first epidemic wave in Venezuela. A retrospective analysis of consecutive suspected cases of COVID-19 admitted to a sentinel hospital was carried out, including 576 patient cases subsequently confirmed for severe acute respiratory syndrome coronavirus 2 infection. Of these, 162 (28.1%) patients met the definition criteria for severe/critical disease, and 414 (71.2%) were classified as mild/moderate disease. The mean age was 47 (SD 16) years, the majority of which were men (59.5%), and the most frequent comorbidity was arterial hypertension (23.3%). The most common symptoms included fever (88.7%), headache (65.6%), and dry cough (63.9%). Severe/critical disease affected mostly older males with low schooling (p < 0.001). Similarly, higher levels of glycemia, urea, aminotransferases, total bilirubin, lactate dehydrogenase, and erythrocyte sedimentation rate were observed in severe/critical disease patients compared to those with mild/moderate disease. Overall mortality was 7.6% (44/576), with 41.7% (28/68) dying in hospital. We identified risk factors related to COVID-19 infection, which could help healthcare providers take appropriate measures and prevent severe clinical outcomes. Our results suggest that the mortality registered by this disease in Venezuela during the first epidemic wave was underestimated. An increase in fatalities is expected to occur in the coming months unless measures that are more effective are implemented to mitigate the epidemic while the vaccination process is ongoing

    Los olvidados : el pensamiento político contemporáneo en los bordes del canon

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    La presente obra procura recomponer las teorías políticas de aquellos autores de la teoría política contemporánea que se encuentran por fuera del canon establecido por la disciplina. En este orden recoge 24 artículos de académicos reconocidos de distintas universidades nacionales y extranjeras, en los que profundiza sobre autores “olvidados”Fil: Berdondini, Mariana. Universidad Nacional de Rosario. Facultad de Ciencia Política y Relaciones Internacionales; Argentina.Fil: Souroujon, Gastón. Universidad Nacional de Rosario. Facultad de Ciencia Política y Relaciones Internacionales; Argentina

    La Argentina de Cambiemos

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    Esta publicación constituye un aporte para comprender y poner en debate los sentidos e itinerarios de lo político en La Argentina de Cambiemos. Es un esfuerzo colectivo de docentes e investigadores/as de la Facultad de Ciencia Política y Relaciones Internacionales de la Universidad Nacional de Rosario (Argentina) provenientes de las cuatro carreras que allí se desarrollan (Licenciatura en Ciencia Política, Comunicación Social, Trabajo Social y Relaciones Internacionales). Desde una pluralidad de miradas, adscripciones teórico metodológicas y pertenencias disciplinares, este libro aborda: en primer lugar, las prácticas materiales y discursivas, los marcos interpretativos y las tradiciones ideacionales que dan forma al campo semántico del gobierno encabezado por Mauricio Macri. En segundo lugar, se pone el acento en el andamiaje institucional, las transformaciones y obstáculos al desarrollo estatal, así como también las principales tradiciones, virajes y formulaciones de política pública. En tercer lugar, se analiza la dinámica del mundo del trabajo, los desafíos de los sectores populares y las vicisitudes de las organizaciones sociales frente a una estructura de oportunidades sociales y políticas que se configura como desfavorable. Por último, se enfatiza la pertenencia, transformación y metamorfosis de la adscripción geopolítica para dar cuenta de los principales continuidades y rupturas en la política exterior. La Argentina de Cambiemos es una lectura ineludible para quienes deseen comprender un período de la historia argentina de profundas transformaciones y reformulaciones sociales, políticas y democráticas que signará las décadas venideras.Fil: Lucca, Juan Bautista. Universidad Nacional de Rosario. Facultad de Ciencia Política y Relaciones Internacionales; Argentina.Fil: Iglesias, Esteban. Universidad Nacional de Rosario. Facultad de Ciencia Política y Relaciones Internacionales; Argentina

    D4.1 – AI-BASED DATA OPERATIONS V1

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    &lt;p&gt;This is the first of the series of deliverables related to the activities of WP4 ("AI-based Data Management for Green Data Operations"). Following the MobiSpaces Reference Architecture defined under the scope of T2.1 ("Design of Reference Architecture") and its current release reported in D2.1 ("Conceptual Model &amp; Reference Architecture v1"), this document gives more details about one of the major architectural pillars, the AI-based Data Operations Toolbox.&nbsp;&lt;/p&gt;&lt;p&gt;The overall activities conducted under the scope of WP4 ("AI-based Data Management for Green Data Operations") that are being reported in this document, mostly focus on this particular pillar, with the exception of the T4.4 ("Privacy-driven Data Aggregation"). The latter is considered as part of the Trustworthy Data Governance Services, however, the progress of this task is reported in these series of deliverables that summarize the activities of the whole WP4. In this document, we present the individual software components that are part of the AI-based Data Operations Toolbox, we give details of their interactions, the background technologies that these components are currently being built upon, along with more detailed description of their internal building blocks.&nbsp;&lt;/p&gt;&lt;p&gt;WP4 focuses on both the data management aspects of MobiSpaces and the data operations of the platform in terms of automating the definition of AI workflows in a declarative manner and their corresponding runtime deployment and orchestration of their entire data lifecycle. The first category of components consists of the Data Management Toolset of the integrated solution that offers a variety of different but complementary data management systems to be exploited by the data users and application developers. For the second category of components, we provide the tools and algorithms for automating the definition and execution of complex AI workflows, consuming data from the aforementioned Data Management Toolset in a transparent manner. The target objective is to execute these workflows in an energy efficient manner, using our novel resource allocator to reduce the carbon emission.&nbsp;&lt;/p&gt;&lt;p&gt;The duration of WP4 spans from M04 to M34. This deliverable reports the work that has been conducted until M10, which accomplishes the milestone MS04 ("Software prototypes - Iteration I"). At this phase of the project, we have identified the internal building blocks of the AI-based Data Operations Toolbox, the details of their interactions and we have delivered the first release of the corresponding prototypes. In this report our primary focus is on the individual evaluation of the components, while D2.7 ("AI-based Data Operations Toolbox v1") will later focus on the integrated solution based on our prototypes described here, to be evaluated by the project's use cases. Given the different maturity levels of the different components in WP4 at this moment, in this document we either provide some initial evaluation results or a concrete plan for evaluation that will be followed during the next period. Two additional versions are planned to be submitted in M22 and M34, where the second and third release of the prototypes will be available, giving more details of the implementation and final evaluation, implementing all target objectives of the WP4.&nbsp;&lt;/p&gt
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