Yvette Duval y el norte de África tardoantigua: Ya no es sólo decadencia y caída

Yvette Duval’s publications offer diverse and contrasting aspects about the dynamism of late-antique North Africa. I have underlined the extent to which they were able to exert a considerable influence in recent historiography. The ideas defended in her various articles and books cannot leave anyone indifferent. Discussing them, drawing up a critical assessment, seeing them questioned, does not mean doing an iconoclast’s work. On the contrary, it is the best tribute that can be paid to a wo man who defended the idea of a multicolored Late Antiquity, far from the stereotypes resulting from the Aufklärung of crisis an decadence.Las publicaciones de Yvette Duval ofrecen aspectos diversos y contrastantes sobre el dinamismo del norte de África tardoantiguo. He subrayado hasta qué punto pudieron ejercer una influencia considerable en la historiografía reciente. Las ideas defendidas en sus diversos artículos y libros no pueden dejar indiferente a nadie. Discutirlas, hacer un balance crítico, verlas cuestionadas no significa hacer un trabajo de iconoclasta. Al contrario, es el mejor homenaje que se puede rendir a una mujer que defendió la idea de una Tardoantigüedad multicolor, alejada de los estereotipos resultantes de las Aufklärung de la crisis y la decadencia

CNN AND LSTM FOR THE CLASSIFICATION OF PARKINSON'S DISEASE BASED ON THE GTCC AND MFCC

Parkinson's disease is a recognizable clinical syndrome with a variety of causes and clinical presentations; it represents a rapidly growing neurodegenerative disorder. Since about 90 percent of Parkinson's disease sufferers have some form of early speech impairment, recent studies on tele diagnosis of Parkinson's disease have focused on the recognition of voice impairments from vowel phonations or the subjects' discourse. In this paper, we present a new approach for Parkinson's disease detection from speech sounds that are based on CNN and LSTM and uses two categories of characteristics Mel Frequency Cepstral Coefficients (MFCC) and Gammatone Cepstral Coefficients (GTCC) obtained from noise-removed speech signals with comparative EMD-DWT and DWT-EMD analysis. The proposed model is divided into three stages. In the first step, noise is removed from the signals using the EMD-DWT and DWT-EMD methods. In the second step, the GTCC and MFCC are extracted from the enhanced audio signals. The classification process is carried out in the third step by feeding these features into the LSTM and CNN models, which are designed to define sequential information from the extracted features. The experiments are performed using PC-GITA and Sakar datasets and 10-fold cross validation method, the highest classification accuracy for the Sakar dataset reached 100% for both EMD-DWT-GTCC-CNN and DWT-EMD-GTCC-CNN, and for the PC-GITA dataset, the accuracy is reached 100% for EMD-DWT-GTCC-CNN and 96.55% for DWT-EMD-GTCC-CNN. The results of this study indicate that the characteristics of GTCC are more appropriate and accurate for the assessment of PD than MFCC

Les Cahiers de Tunisie et les antiquités africaines (1953-2011) : bilan historiographique

This paper aims deals with the place of ancient studies in Les Cahiers de Tunisie. It traces their history and is interested in their place in this periodical. Finally, after having justified the choice of the period (1953-2011), we attach in a final part, to give some elements of methodology and to present the main axes of the bibliographic search.La présente étude porte sur la place des études antiques dans Les Cahiers de Tunisie. Elle retrace leur histoire et s’intéresse à leur place dans la revue. Enfin, après avoir justifié le choix de la période (1953-2011), on s’attache dans une dernière partie, à donner quelques éléments de méthodologie et, à présenter les grands axes de la recherche bibliographique.

Compte rendu du livre de Fathi Béjaoui, Les hautes steppes tunisiennes : Témoignages archéologiques chrétiens, Tunis: INP, 2015, 199 p.; ISBN 9789973912886

Book reviewCompte rendu du livr

Traffic congestion prevention system

Transport is one of the key elements in the development of any country; it can be a powerful catalyst for economic growth. However, the infrastructure does not give enough to the huge number of vehicles which produces several problems, particularly in terms of road safety, and loss of time and pollution. One of the most significant problems is congestion, this is a major handicap for the road transport system. An alternative would be to use new technologies in the field of communication to send traffic information such as treacherous road conditions and accident sites by communicating, for a more efficient use of existing infrastructure.  In this paper, we present a CPS system, which can help drivers in order to have a better trip. For this raison we find the optimal way to reduce travel time and fuel consumption. This system based on our recent work [1]. It´s new approach aims to avoid congestion and queues, hat assure more efficient and optimal use of the existing road infrastructure. For that we concentrate by analyzing the useful and reliable traffic information collected in real time. The system is simulated in several conditions, Experimental result show that our approach is very effective. In the future work, we try to improve our system by adding more complexity in our system

« Nos…inter nos eruditionis causa disserimus » : Désaccords et conciliations dans les échanges épistolaires augustinohieronymiens

Le présent travail s’inscrit dans une démarche d’archéologie conceptuelle. Il s’agit de suivre, à travers les épîtres échangées entre Jérôme et Augustin, les grandes thématiques abordées par les deux hommes. Leurs échanges, très orageux parfois, restèrent respectueux à la codification de l’épistolographie du temps. En somme chacun gardait ses idées, et Jérôme se refusait à toute discussion ; mais ni l’estime, ni l’affection réciproque ne reçurent d’atteinte et il viendrait un temps où la collaboration intellectuelle si désirée s’établirait d’elle-même pour faire front devant l’ennemi commun, Pélage

Features selection by genetic algorithm optimization with k-nearest neighbour and learning ensemble to predict Parkinson disease

Among the several ways followed for detecting Parkinson's disease, there is the one based on the speech signal, which is a symptom of this disease. In this paper focusing on the signal analysis, a data of voice records has been used. In these records, the patients were asked to utter vowels “a”, “o”, and “u”. Discrete wavelet transforms (DWT) applied to the speech signal to fetch the variable resolution that could hide the most important information about the patients. From the approximation a3 obtained by Daubechies wavelet at the scale 2 level 3, 21 features have been extracted: a linear predictive coding (LPC), energy, zero-crossing rate (ZCR), mel frequency cepstral coefficient (MFCC), and wavelet Shannon entropy. Then for the classification, the K-nearest neighbour (KNN) has been used. The KNN is a type of instance-based learning that can make a decision based on approximated local functions, besides the ensemble learning. However, through the learning process, the choice of the training features can have a significant impact on overall the process. So, here it stands out the role of the genetic algorithm (GA) to select the best training features that give the best accurate classification

Vincent Hunink, Acta Martyrum Scillitanorum. A Literary Commentary

Vincent Jan Christiaan Hunink, connu à la fois pour son travail de philologue et d’historien du christianisme primitif, nous fournit ici une nouvelle traduction commentée des Acta Martyrum Scillitanorum (abrégés en AMS) qui est la plus ancienne Passion latine de martyrs conservée et un des documents majeurs de la littérature hagiographique africaine. Les AMS, court texte de 375 mots si l’on y inclut le titre, enregistrent, dans leur sécheresse administrative, l’interrogatoire le 17 juillet 18..

Compte rendu de Salem Mokni et Meriem Sebaï (Ed.), Institutions municipales en Afrique proconsulaire : sources littéraires, épigraphiques et archéologiques, Sfax, Med Ali éditions, 2017, 132 p.; ISBN 9789973335050

Book reviewCompte rend

Towards the Electrochemical Diagnostic of Influenza Virus: Development of Graphene-Au Hybrid Nanocomposite Modified Influenza Virus Biosensor Based on Neuraminidase Activity

International audienceAn effective electrochemical influenza A biosensor based on a graphene-gold (Au) hybrid nanocomposite modified Au-screen printed electrode has been developed. The working principle of the developed biosensor relies on the measurement of neuraminidase (N) activity. After the optimization of experimental parameters like the effect of bovine serum albumin addition and immobilization times of fetuin A and PNA lectin, the analytical characteristics of the influenza A biosensor were investigated. As a result, a linear range between 10-8 U mL-1 and 10-1 U mL-1 was found with a relative standard deviation value of 3.23% (for 10-5 U mL-1 of N, n:3) and a limit of detection value of 10-8 U mL-1 N. The developed biosensor was applied for real influenza virus A (H9N2) detection and very successful results were obtained