196,374 research outputs found
2. Genetic prothrombotic factors in children with otogenic lateral sinus thrombosis: five case reports
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Genetic prothrombotic factors in children with otogenic lateral sinus thrombosis: five case reports
Author(s): Zangari, P (Zangari, Paola)1; Messia, V (Messia, Virginia)1; Viccaro, M (Viccaro, Marika)2; Bottero, S (Bottero, Sergio)2; Randisi, F (Randisi, Francesco)3; Marsella, P (Marsella, Pasquale)2; Luciani, M (Luciani, Matteo)4; Locatelli, F (Locatelli, Franco)4
Source: BLOOD COAGULATION & FIBRINOLYSIS Volume: 23 Issue: 2 Pages: 158-163 DOI: 10.1097/MBC.0b013e328349cafb Published: MAR 2012
Times Cited: 0 (from Web of Science)
Cited References: 20 [ view related records ] Citation Map
Abstract: Lateral sinus thrombosis (LST) is an uncommon, but life-threatening complication of both acute and chronic otitis media. There is some evidence that acquired or hereditary prothrombotic disorders are risk factors for LST. The aim of this work was to evaluate the role of thrombotic screening, anticoagulant therapy or prophylaxis in patients with either acute or chronic otitis media and LST. The medical records of five children hospitalized at Pediatric Hospital Bambino Gesu of Rome because of acute or chronic otitis media complicated by mastoiditis and LST were reviewed. All children underwent laboratory workup for hypercoagulability. All the five children were found to be heterozygote for the C677T MTHFR mutation and a child presented also heterozygosity for factor V Leiden mutation. They have been successfully treated with anticoagulant therapy without sequels. Children with acute or chronic otitis media may have a prothrombotic tendency that becomes clinically evident because of the inflammatory state. Patients with a family and/or personal history of thrombosis and/or thrombophilic conditions need anticoagulant prophylaxis also in the absence of clear signs of LST. Treatment with low molecular weight is successful in patients with LST. Blood Coagul Fibrinolysis 23:158-163 (C) 2012 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins
Theodora Patrona, Return Narratives. Ethnic Space in Late-Twentieth-Century Greek American and Italian American Literature
Get PDFTheodora Patrona, Return Narratives. Ethnic Space in Late-Twentieth-Century Greek American and Italian American Literature Fairleigh Dickinson University Press, 2017. Pp. 209. ISBN: 9781611479959 Sostene M. Zangari In his poem “Heritage,” Countee Cullen articulates the cultural void affecting African-American intellectuals who, denied direct access to their ancestral home, were not able to turn its culture and traditions into that ‘usable past’ that could provide the foundations for construct..
Il poema cinquecentesco sulla beata Colomba da Rieti (1476-1501) e l’immagine della protagonista nello spettro delle donne mistiche nordeuropee, in «Archivio Italiano per la Storia della Pietà», I 2018, pp. 231-257 ISBN 9788893592055
No full textThe aim of this study is the analysis of a poem in Latin hexameters – "Columbeidos" – about the Dominican tertiary Colomba da Rieti (1476-1501), written around 1580 by the Dominican Niccolò Alessi (1509?-1585) and recently edited by Andrea Maiarelli. In the first part an overview of the poem is provided, which shows some similarities to the previous hagiographic text concerning Colomba written by another Dominican father, Sebastiano Angeli (m. 1521). The second part of the study follows a method of textual analysis developed by Romana Guarnieri. She argues that series of themes – or "topoi" – can be identified in hagiographies of European women mystics on a comparative basis. Therefore, the application of this method of textual analysis to Colomba's hagiographical poem will lead to a partial extension to the hagiographies of other medieval female mystics
It/Fr/En-Wiki-100 datasets
No full textThe 3 datasets derived from the Italian (ItWiki-100), French (FrWiki-100) and English (EnWiki-100) Wikipedia dumps, with articles tagged with related portals (100 most common per language).
If you use this data you may cite these works:
Gasparetto A, Marcuzzo M, Zangari A, Albarelli A. (2022) A Survey on Text Classification Algorithms: From Text to Predictions. Information 13, no. 2: 83. https://doi.org/10.3390/info13020083
Gasparetto A, Zangari A, Marcuzzo M, Albarelli A. (2022) A survey on text classification: Practical perspectives on the Italian language. PLOS ONE 17(7): e0270904. https://doi.org/10.1371/journal.pone.027090
Female Visionary Saints: an alternative Interpretation. Female sanctity, Visionaryism and Hysteria in the Medieval and Modern Age
No full textIt is well known that in the complex ‘alphabet of the female saints’, to borrow the happy phrase of Giovanni Pozzi , visions constellate ad abundantiam the mystical experience of women: they are much more frequent than other mystical phenomena, especially in the case of holy women living in the medieval and modern age. In this text I will seek to demonstrate that female ‘visionary’ mystics are in fact subjects affected by behavioural and personality disturbances disorders, which today are unfortunately impossible to identify exactly, given that the only possible diagnosis would be one in absentia. For convenience I shall use the old-fashioned (and sexist) term ‘hysteria’, meaning what from the time of Charcot and Freud, has signified a pathological disturbance associated with mental illness. I have decided to divide my paper into three parts: in the first part I shall illustrate the similarites between visionaries and hysterics; in the second I shall show how stigmatisations – often explicable as mechanisms of hysterical conversion – frequently took place in the course of the visions; and in the final part I shall illustrate how visionaryism systematically accompanied the process of sublimation of maternity, especially among female mystics, whose ‘earthly’ motherhood was denied, as is documented in the sources
Recommendation Systems: An Insight Into Current Development and Future Research Challenges
Get PDFResearch on recommendation systems is swiftly producing an abundance of novel methods, constantly challenging the current state-of-the-art. Inspired by advancements in many related fields, like Natural Language Processing and Computer Vision, many hybrid approaches based on deep learning are being proposed, making solid improvements over traditional methods. On the downside, this flurry of research activity, often focused on improving over a small number of baselines, makes it hard to identify reference methods and standardized evaluation protocols. Furthermore, the traditional categorization of recommendation systems into content-based, collaborative filtering and hybrid systems lacks the informativeness it once had. With this work, we provide a gentle introduction to recommendation systems, describing the task they are designed to solve and the challenges faced in research. Building on previous work, an extension to the standard taxonomy is presented, to better reflect the latest research trends, including the diverse use of content and temporal information. To ease the approach toward the technical methodologies recently proposed in this field, we review several representative methods selected primarily from top conferences and systematically describe their goals and novelty. We formalize the main evaluation metrics adopted by researchers and identify the most commonly used benchmarks. Lastly, we discuss issues in current research practices by analyzing experimental results reported on three popular datasets
Mixed Ni – Li – M oxides as catalysts for the Oxygen Evolution Reaction
No full textThe preparation and characterization (by electrochemistry and scanning electron microscopy) of mixed Ni – Li – Metals oxides as catalysts for the Oxygen Evolution Reaction are presented
A Survey on Text Classification Algorithms: From Text to Predictions
Get PDFIn recent years, the exponential growth of digital documents has been met by rapid progress in text classification techniques. Newly proposed machine learning algorithms leverage the latest advancements in deep learning methods, allowing for the automatic extraction of expressive features. The swift development of these methods has led to a plethora of strategies to encode natural language into machine-interpretable data. The latest language modelling algorithms are used in conjunction with ad hoc preprocessing procedures, of which the description is often omitted in favour of a more detailed explanation of the classification step. This paper offers a concise review of recent text classification models, with emphasis on the flow of data, from raw text to output labels. We highlight the differences between earlier methods and more recent, deep learning-based methods in both their functioning and in how they transform input data. To give a better perspective on the text classification landscape, we provide an overview of datasets for the English language, as well as supplying instructions for the synthesis of two new multilabel datasets, which we found to be particularly scarce in this setting. Finally, we provide an outline of new experimental results and discuss the open research challenges posed by deep learning-based language models
Unimodal distribution of postmenopausal bone loss after bilateral ophorectomy in adult normal women
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