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International audience; The continued increase in the use of smartphones and other mobile devices has led to a substantial increase in the demand for mobile applications. With the growing availability of mobile apps, retrieving the right application from a large set has become difficult. However, the existing term-based search engines tend to retrieve relevant apps based on query terms rather than considering app features really required by users, such as functionalities, technical or user-interface characteristics. The novelty of this paper lies in extracting app features from app description and social users' reviews, extracting user-requested features and matching between them to get the feature-based score. In addition, we propose effective techniques that extract and weight features requested in the query. Finally, we combine Feature-based and term-based scores together to obtain the app Copyright 20XX Inderscience Enterprises Ltd. 2 M. Chaa et al. relevance score. The experimental results indicate that the proposed approach is effective and outperforms the state-of-the-art retrieval models for app retrieval.

Objectives The aim of this study was to screen for the presence of β-lactamases-producing Gram negative bacteria isolates from Algerian currency collected from food vendors in Batna city, Algeria. Methods During two periods, May 2018 and from March to April 2019, a total of 408 coins and notes currency of different denominations of Algerian Dinar were randomly recovered from some food vendors. Samples were subjected to selective isolation of extended spectrum cephalosporins and carbapenem resistant Gram negative bacteria. The bacterial species identification was performed using Matrix-Assisted Laser Desorption–Ionization Time-of-Flight Mass Spectrometry. Antibiotic susceptibility testing was performed using the disk-diffusion method. Carbapenemases and extended-spectrum β-lactamases genes were searched for by Real-time PCR, Standard PCR and sequencing. The clonality relationships of carbapenemase producing isolates were investigated by multilocus sequence typing. The transferability of the detected carbapenemase encoding gene was verified by conjugation experiments. Results A total of twelve cefotaxime and/or carbapenem-resistant strains were isolated in this study and identified as E. cloacae, Raoultella ornithinolytica, Citrobacter freundii, E. coli, P. aeruginosa, Pseudomonas libanensis and Pseudomonas stutzeri. The blaOXA-48 gene was detected in only one E. cloacae strain belonging to the ST108, while the two Raoultella ornithinolytica isolates harboured the blaCTX-M-27 gene and one E. coli strain carried the blaCTX-M-14 gene. The detected blaOXA-48 gene was transferable by conjugation. Conclusion In this study, we report for the first time, the detection of OXA-48-producing Enterobacter cloacae isolate from money. Thus, it calls for consciousness development on the potential risks associated with poor handling of currency. Highlights • First report of bla OXA-48 gene in enterobacterial strain isolated from coins. • Coins as a reservoir of carbapenem-resistant Enterobacteriaceae. • First detection of CTX-M-27-producing Raoultella ornithinolytica from money. • First detection of CTX-M-14-producing E. coli from money.

In this paper, we propose our enhanced approach to create a dedicated corpus for Algerian Arabic newspapers comments. The developed approach has to enhance an existing approach by the enrichment of the available corpus and the inclusion of the annotation step by following the Model Annotate Train Test Evaluate Revise (MATTER) approach. A corpus is created by collecting comments from web sites of three well know Algerian newspapers. Three classifiers, support vector machines, na{\"i}ve Bayes, and k-nearest neighbors, were used for classification of comments into positive and negative classes. To identify the influence of the stemming in the obtained results, the classification was tested with and without stemming. Obtained results show that stemming does not enhance considerably the classification due to the nature of Algerian comments tied to Algerian Arabic Dialect. The promising results constitute a motivation for us to improve our approach especially in dealing with non Arabic sentences, especially Dialectal and French ones. Comment: arXiv admin note: substantial text overlap with arXiv:2006.00459

Abstract Breaking the DC fault in HVDC grid is the greatest challenge for DC grid protection system. Although there are many scientific researches investigating the high voltage DC breakers, yet, there is still always a trade-off between the interruption time and the breaking capability. Therefore, combining between the superconducting fault current limiter (SFCL) technology with a fast DC circuit breaker could bring a solution to this limitation. In this work, an accurate model of resistive-type SFCL (r-SFCL) considering the electro-thermal behaviour, is proposed to be placed in series with ABB proactive hybrid DC circuit breaker (PHCB). To test the viability of the system, a pole-to-pole DC fault scenario was imposed in a HVDC grid. The numerical analysis was undertaken with (EMTP-RV®) software, while the simulation results show how effectively the SFCL can reduce the fault current below the maximum breaking capability. Also, it is concluded that there is a positive interaction between the r-SFCL and PHCB.

Le concept de transposition didactique, lié à la notion de savoir savant, se trouve amené à s'élargir pour répondre aux exigences d'importer à l'école des objets à enseigner qui ne sont pas référés à du savoir académique mais à des pratiques langagières circulant dans l'espace du discours quotidien. Abstract The concept of didactic transposition, linked to the notion of scholarly knowledge, needs to be broadened so as to meet the requirements to import to school things to be taught which are not referred to academic knowledge but to linguistic practices circulating in the space of daily speech The concept of didactic transposition, linked to the notion of scholarly knowledge, needs to be broadened so as to meet the requirements to import to school things to be taught which are not referred to academic knowledge but to linguistic practices circulating in the space of daily speech International audience

We investigated dengue virus (DENV) and asymptomatic DENV infections in rural villages of Kampong Cham Province, Cambodia, during 2012 and 2013. We conducted perifocal investigations in and around households for 149 DENV index cases identified through hospital and village surveillance. We tested participants 0.5–30 years of age by using nonstructural 1 rapid tests and confirmed DENV infections using quantitative reverse transcription PCR or nonstructural 1–capture ELISA. We used multivariable Poisson regressions to explore links between participants’ DENV infection status and household characteristics. Of 7,960 study participants, 346 (4.4%) were infected with DENV, among whom 302 (87.3%) were <15 years of age and 225 (65.0%) were <9 years of age. We identified 26 (7.5%) participants with strictly asymptomatic DENV infection at diagnosis and during follow-up. We linked symptomatic DENV infection status to familial relationships with index cases. During the 2-year study, we saw fewer asymptomatic DENV infections than expected based on the literature. International audience

This paper describes the approach adopted by the SMarT research group to build a dialect identification system in the framework of the Madar shared task on Arabic fine-grained dialect identification. We experimented several approaches, but we finally decided to use a Multinomial Naïve Bayes classifier based on word and character ngrams in addition to the language model probabilities. We achieved a score of 67.73% in terms of Macro accuracy and a macro-averaged F1-score of 67.31%. International audience