Les tribulations parisiennes de l’officier écrivain : l’oeuvre autobiographique de Yasmina Khadra et son accueil en France

This article describes Yasmina Khadra’s autobiographical work composed of two books: "L’écrivain" and "L’imposture des mots" and its reception in France. The main purpose of this study was to establish the literary genre of these books, which implies determining whether Khandra’s work represents an autobiography or an autofiction with reference to P. Lejeune’s and V. Colonna’s theoretical studies. The dividing line between two genres in Khandra’s works refl ects his inner split between being either a solder or a writer. The presentation will also help to understand the controversy resulting from Khandra’s participation in Algerian civil war. Moreover the analysis is related to modern Algerian history.

Le développement de la compétence argumentative et l'initiation au discours académique

The aim of the paper is to present the specificity of oral argumentative competence in a foreign language and to propose a tentative model of task-based learning of argumentative discourse. It is assumed in the paper that the communicative situation tasks proposed during classes of French as a foreign language in the French Philology Department should contribute to the academic discourse learning. In the paper we present an analysis of two fragments of argumentative situations; the first one concerns the so-called everyday argumentative situation and another one illustrates an argumentative orientation of academic discourse.

Nouvelles approches de la ville dans la littérature française contemporaine : Thomas Clerc et Philippe Vasset

On the basis of two indecidable texts (Thomas Clerc, “Paris, musée du XXIe siècle. Le dixième arrondissement”, Gallimard 2007 and Philippe Vasset, “Un livre blanc”, Fayard 2007), we will reflect on new approaches to the city in contemporary French litterature. Clerc and Vasset, in their respective texts, suggest considering litterature as a series of practices connected with the exploration of the city (Clerc) and of the urban area (Vasset) according to the idea of an arbitrary itinerary. The image of the city whose space, subject to a permanent process of museifi cation, is constantly considered to be a work of art (Clerc) contrasts with a project of viewing the deserted areas of the city and of its surroundings as an infinite collection of “artistic installations” created in daily life (Vasset). Clerc’s and Vasset’s artistic mentality leads them to the fascination with “works of involuntary art”, both concrete signs and tangible proof of the transitional period which they try to describe systematically, following, at the same time, the principles of an axonometric city map.

D. Antonii Gomezii, in Academia Salmanticensi Juris Civilis Primarii Professoris, Variae resolutiones juris civilis, communis, et regii : tomis tribus distinctae : quorum I Ultimarum Voluntatum, II Contractuum, III Delictorum, materias continet

Editio novissima cui praeter Annotationes Emanuelis Suarez a Ribeira, accesserunt Illustrationes, sive Additiones Joannis de Ayllon Laynez in fine cujusque Capitis appositae, cum Indice Generali.

Nonnihil de educatione juventutis scholasticae et studiorum reformatione in ditionibus Pannonicis

Signaturas: A-G8, H6.

L'Ane promeneur, ou Critès promené par son ane : Chef-d'oeuvre pour servir d'Apologie au Goût, aux Moeurs, à l'Esprit, et aux Découvertes du siècle

Première edition revue, corrigée, et précédée d'une Préface à la Mosaïque, dans le plus nouveau goût.

Fasciathérapie et transformation du rapport à la santé

Dissertação de Mestrado apresentada à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Psicopedagogia Perceptiva.

Pratiques d’infirmière clinicienne et obésité

Tese apresentada à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Doutor em Ciências Sociais, especialidade em Psicologia

Fasciathérapie et identité professionnelle

Tese apresentada à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Doutor em Ciências Sociais, especialidade em Psicologia

Hindrances to the work of the church in the world : a series of sermons / by the Lord Bishop of Bath and Wells ... [et al.]

http://www.archive.org/details/hindrancestothew00unknuoft

Dix-huit ans chez les sauvages : voyages et missions de Mgr Henry Faraud, áevãeque d'Anemour, vicaire apostolique de Mackensie dans l'extrãeme nord de l'Amerique britannique : d'apráes les documents de Mgr l'evãque d'Anemour / par Fernand-Michel.

http://www.archive.org/details/dixhuitanschezle00fararich

Khirbet et-Tannur Excavation Records

The Khirbet et-Tannur Excavation Records document the 1938 excavation of a Nabataean temple. The excavation was directed by Nelson Glueck. The collection includes level books, excavation diaries, artifacts, and photographs. The collection is being processed. A finding aid for the document portion of the collection is available.

Diagnosing Network-Wide Traffic Anomalies

Anomalies are unusual and significant changes in a network's traffic levels, which can often involve multiple links. Diagnosing anomalies is critical for both network operators and end users. It is a difficult problem because one must extract and interpret anomalous patterns from large amounts of high-dimensional, noisy data. In this paper we propose a general method to diagnose anomalies. This method is based on a separation of the high-dimensional space occupied by a set of network traffic measurements into disjoint subspaces corresponding to normal and anomalous network conditions. We show that this separation can be performed effectively using Principal Component Analysis. Using only simple traffic measurements from links, we study volume anomalies and show that the method can: (1) accurately detect when a volume anomaly is occurring; (2) correctly identify the underlying origin-destination (OD) flow which is the source of the anomaly; and (3) accurately estimate the amount of traffic involved in the anomalous OD flow. We evaluate the method's ability to diagnose (i.e., detect, identify, and quantify) both existing and synthetically injected volume anomalies in real traffic from two backbone networks. Our method consistently diagnoses the largest volume anomalies, and does so with a very low false alarm rate.

Characterization of Network-Wide Anomalies in Traffic Flows

Detecting and understanding anomalies in IP networks is an open and ill-defined problem. Toward this end, we have recently proposed the subspace method for anomaly diagnosis. In this paper we present the first large-scale exploration of the power of the subspace method when applied to flow traffic. An important aspect of this approach is that it fuses information from flow measurements taken throughout a network. We apply the subspace method to three different types of sampled flow traffic in a large academic network: multivariate timeseries of byte counts, packet counts, and IP-flow counts. We show that each traffic type brings into focus a different set of anomalies via the subspace method. We illustrate and classify the set of anomalies detected. We find that almost all of the anomalies detected represent events of interest to network operators. Furthermore, the anomalies span a remarkably wide spectrum of event types, including denial of service attacks (single-source and distributed), flash crowds, port scanning, downstream traffic engineering, high-rate flows, worm propagation, and network outage.

Mining Anomalies Using Traffic Feature Distributions

The increasing practicality of large-scale flow capture makes it possible to conceive of traffic analysis methods that detect and identify a large and diverse set of anomalies. However the challenge of effectively analyzing this massive data source for anomaly diagnosis is as yet unmet. We argue that the distributions of packet features (IP addresses and ports) observed in flow traces reveals both the presence and the structure of a wide range of anomalies. Using entropy as a summarization tool, we show that the analysis of feature distributions leads to significant advances on two fronts: (1) it enables highly sensitive detection of a wide range of anomalies, augmenting detections by volume-based methods, and (2) it enables automatic classification of anomalies via unsupervised learning. We show that using feature distributions, anomalies naturally fall into distinct and meaningful clusters. These clusters can be used to automatically classify anomalies and to uncover new anomaly types. We validate our claims on data from two backbone networks (Abilene and Geant) and conclude that feature distributions show promise as a key element of a fairly general network anomaly diagnosis framework.