L’esthesioneuroblastome olfactif : a propos de 7

Introduction : L’esthésioneuroblastome est une tumeur maligne rare développée aux dépens du neuro-épithélium olfactif. C’est l’une des plus rares tumeurs des fosses nasales. L’objectif de ce travail est d’étudier à travers une revue de la littérature, les caractéristiques histocliniques, les modalités thérapeutiques et les facteurs pronostiques de cette tumeur.Matériel et méthodes : Etude rétrospective à propos de sept cas d’esthésioneuroblastome olfactif traités dans le service d’ORL et de CCF de l’hôpital Farhat Hached de Sousse sur une période de 26 ans.Résultats : L’âge moyen de nos patients était de 36 ans avec une prédominance féminine. La symptomatologie clinique était dominée par l’obstruction nasale et l’épistaxis. Cinq patients étaient classés stade B de Kadish, et 2 stade C. Six patients ont eu un traitement chirurgical dont cinq ont eu une radiothérapie post opératoire. Une patiente avait une importante extension locorégionale et était au dessus de tout traitement à visée curative. Trois malades sont en rémission complète avec un recul moyen de 6 ans. Trois malades ont présenté une récidive tumorale.Conclusion : L’esthésioneuroblastome olfactif est une tumeur naso-sinusienne maligne rare, caractérisée par son polymorphisme clinique et son agressivité locale. Malgré la chirurgie et la radiothérapie, le pronostic reste réservé à long terme.Mots clés : Esthésioneuroblastome olfactif - Imagerie- Immunohistochimie- Chirurgie -RadiothérapieIntroduction: Introduction: Esthesioneuroblastoma is a rare malignant tumor, which develops from olfactory neuroepithelium and is one of the rarest tumors of the nasal cavity. The aim of this study is to specify through a review of the literature, histoclinic characteristics, therapeutic terms and prognostic factors of this tumor.Material and methods: a retrospective study concerning seven cases of olfactory neuroblastoma treated in the department of otolaryngology- Head and Neck surgery at Farhat Hached Hospital Sousse over a period of 26 years.Results: The mean age of our patients was 36 years. A female predominance was noted. Clinical symptomatology was dominated by nasal obstruction and epistaxis. Five patients were classified as Kadish B and 2 patients as Kadish C. Six patients underwent surgicaltreatment, five of them had postoperative radiotherapy. One patient was above all therapeutic resources. 3 patients are in complete remission with a mean follow-up of 6 years. Recurrence was observed for the remaining patients.Conclusion: olfactory esthesioneuroblastoma is a rare sinonasal malignant tumor, characterised by clinical polymorphism and local agressivity. In spite of the surgery and the radiotherapy, the forecast remains reserved in the long term.Key words: Olfactory neuroblastoma – Imagery – Immunohistochemestry – Surgery - Radiotherap

Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness

We present an overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims, with focus on Task 1: Check-Worthiness. The task asks to predict which claims in a political debate should be prioritized for fact-checking. In particular, given a debate or a political speech, the goal was to produce a ranked list of its sentences based on their worthiness for fact checking. We offered the task in both English and Arabic, based on debates from the 2016 US Presidential Campaign, as well as on some speeches during and after the campaign. A total of 30 teams registered to participate in the Lab and seven teams actually submitted systems for Task 1. The most successful approaches used by the participants relied on recurrent and multi-layer neural networks, as well as on combinations of distributional representations, on matchings claims' vocabulary against lexicons, and on measures of syntactic dependency. The best systems achieved mean average precision of 0.18 and 0.15 on the English and on the Arabic test datasets, respectively. This leaves large room for further improvement, and thus we release all datasets and the scoring scripts, which should enable further research in check-worthiness estimation

Generating acceptable Arabic Core Vocabularies and Symbols for AAC users

This paper discusses the development of an Arabic Symbol Dictionary for Augmentative and Alternative Communication (AAC) users, their families, carers, therapists and teachers as well as those who may benefit from the use of symbols to enhance literacy skills. With a requirement for a bi-lingual dictionary, a vocabulary list analyzer has been developed to evaluate similarities and differences in word frequencies from a range of word lists in order to collect suitable AAC lexical entries. An online bespoke symbol management has been created to hold the lexical entries alongside specifically designed symbols which are then accepted via a voting system using a series of criteria. Results to date have highlighted how successful these systems can be when encouraging participation along with the need for further research into the development of personalised context sensitive core vocabularies

Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 2: Factuality

We present an overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims, with focus on Task 2: Factuality. The task asked to assess whether a given check-worthy claim made by a politician in the context of a debate/speech is factually true, half-true, or false. In terms of data, we focused on debates from the 2016 US Presidential Campaign, as well as on some speeches during and after the campaign (we also provided translations in Arabic), and we relied on comments and factuality judgments from factcheck.org and snopes.com, which we further refined manually. A total of 30 teams registered to participate in the lab, and five of them actually submitted runs. The most successful approaches used by the participants relied on the automatic retrieval of evidence from the Web. Similarities and other relationships between the claim and the retrieved documents were used as input to classifiers in order to make a decision. The best-performing official submissions achieved mean absolute error of .705 and .658 for the English and for the Arabic test sets, respectively. This leaves plenty of room for further improvement, and thus we release all datasets and the scoring scripts, which should enable further research in fact-checking

Overview of the CLEF-2018 checkthat! lab on automatic identification and verification of political claims

We present an overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. In its starting year, the lab featured two tasks. Task 1 asked to predict which (potential) claims in a political debate should be prioritized for fact-checking; in particular, given a debate or a political speech, the goal was to produce a ranked list of its sentences based on their worthiness for fact-checking. Task 2 asked to assess whether a given check-worthy claim made by a politician in the context of a debate/speech is factually true, half-true, or false. We offered both tasks in English and in Arabic. In terms of data, for both tasks, we focused on debates from the 2016 US Presidential Campaign, as well as on some speeches during and after the campaign (we also provided translations in Arabic), and we relied on comments and factuality judgments from factcheck.org and snopes.com, which we further refined manually. A total of 30 teams registered to participate in the lab, and 9 of them actually submitted runs. The evaluation results show that the most successful approaches used various neural networks (esp. for Task 1) and evidence retrieval from the Web (esp. for Task 2). We release all datasets, the evaluation scripts, and the submissions by the participants, which should enable further research in both check-worthiness estimation and automatic claim verification

Jacobi Polynomials as su(2, 2) Unitary Irreducible Representation

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Neonatal CD8 T-cell Hierarchy Is Distinct from Adults and Is Influenced by Intrinsic T cell Properties in Respiratory Syncytial Virus Infected Mice

Following respiratory syncytial virus infection of adult CB6F1 hybrid mice, a predictable CD8+ T cell epitope hierarchy is established with a strongly dominant response to a Kd-restricted peptide (SYIGSINNI) from the M2 protein. The response to KdM282-90 is ∼5-fold higher than the response to a subdominant epitope from the M protein (NAITNAKII, DbM187-195). After infection of neonatal mice, a distinctly different epitope hierarchy emerges with codominant responses to KdM282-90 and DbM187-195. Adoptive transfer of naïve CD8+ T cells from adults into congenic neonates prior to infection indicates that intrinsic CD8+ T cell factors contribute to age-related differences in hierarchy. Epitope-specific precursor frequency differs between adults and neonates and influences, but does not predict the hierarchy following infection. Additionally, dominance of KdM282-90 –specific cells does not correlate with TdT activity. Epitope-specific Vβ repertoire usage is more restricted and functional avidity is lower in neonatal mice. The neonatal pattern of codominance changes after infection at 10 days of age, and rapidly shifts to the adult pattern of extreme KdM282- 90 -dominance. Thus, the functional properties of T cells are selectively modified by developmental factors in an epitope-specific and age-dependent manner

Dendritic Cells Transfected with scFv from Mab 7.B12 Mimicking Original Antigen gp43 Induces Protection against Experimental Paracoccidioidomycosis

Paracoccidioidomycosis (PCM), endemic in Latin America, is a progressive systemic mycosis caused by Paracoccidioides brasiliensis (P. brasiliensis), which primarily attacks lung tissue. Dendritic cells (DCs) are able to initiate a response in naïve T cells, and they also participate in Th-cell education. Furthermore, these cells have been used for therapy in several disease models. Here we transfected DCs with a plasmid (pMAC/PS-scFv) encoding a single chain variable fragment (scFv) of an anti-Id antibody that is capable of mimicking gp43, the main antigenic component of P. brasiliensis. First, Balb/c mice were immunized subcutaneously with pMAC/PS-scFv and, after seven days, scFv protein was presented to the regional lymph nodes cells. Moreover, we showed that the DCs transfected with scFv were capable of efficiently activating proliferation of total lymph node cells and inducing a decrease in lung infection. Therefore, our results suggested that the use of scFv-transfected DCs may be a promising therapy in the paracoccidioidomycosis (PCM) model