HuTO: une Ontologie Temporelle Narrative pour les Applications du Web Sémantique: HuTO: une Ontologie Temporelle Narrative

National audienceThe temporal phenomena have many facets that are studied by different communities. In Semantic Web, large heterogeneous data are handled and produced. These data often have informal, semi-formal or formal temporal information which must be interpreted by software agents. In this paper we present Human Time Ontology (HuTO) an RDFS ontology to annotate and represent temporal data. A major contribution of HuTO is the modeling of non-convex intervals giving the ability to write queries for this kind of interval. HuTO also incorporates normalization and reasoning rules to explicit certain information. HuTO also proposes an approach which associates a temporal dimension to the knowledge base content. This facilitates information retrieval by considering or not the temporal aspect.Un défi majeur en informatique est la modélisation et le raisonnement sur les données temporelles. Ce travail est devenu encore plus important avec l'émergence du Web sémantique où de grandes quantités données hétérogènes sont manipulées. Ces données comportent souvent des informations temporelles informelles, semi-formelles ou formelles qui doivent être interprétées par les agents logiciels. Dans cet article nous présentons notre ontologie, Humain Time Ontologie (HuTO), une ontologie en RDFS pour annoter des ressources en RDF et représenter les expressions narratives temporelles. Une des contributions majeures de HuTO est la modélisation des intervalles non-convexes c'est-à-dire les intervalles répétitifs comme tous les mercredi mais également la possibilité d'écrire des requêtes sur ce type d'intervalle. HuTO intègre aussi des règles de normalisation et de raisonnement pour expliciter certaines informations temporelles. HuTO propose aussi une approche qui permet de garder distincte la dimension temporelle et les annotations du domaine métier. Cela facilite la recherche d'informations qu'elles soient temporelles ou non

Ontologies-Based Platform for Sociocultural Knowledge Management

International audienceIn this paper, we present a sociocultural platform aiming at persevering and capitalizing sociocul-tural events in Senegal. This platform relies on Semantic Web technologies. First, we discuss the two ontologies we provided to support our platform: an upper-level sociocultural ontology (USCO) and a human time ontol-ogy (HuTO). To build our upper-level ontology we proposed a methodology based on the theory of Russian psychologist Lev Vygotsky called "Vygotskian Framework". We also present how the upper-level ontology can be matched in the Linked Open Data (LOD) cloud. On the other hand, we present the Human Time Ontol-ogy (HuTO) of which major contributions are (i) the modeling of non-convex intervals (repetitive interval) like every Monday, (ii) representation deictic temporal expressions which form specific relations with time speech and (iii) qualitative temporal notions which are temporal notions relative to a culture or a geographical position. Finally, we discuss the platform designed on top of Semantic MediaWiki to apply our scientific contributions. indeed, the platform allows Senegalese communities to share and co-construct their sociocultural knowledge

Sociocultural Ontology: Upper-level and Domain Ontologies

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Limosilactobacillus caccae sp. nov., a new bacterial species isolated from the human gut microbiota

International audienceABSTRACT Strain Marseille-P3519T isolated from the fecal flora of a 25-year-old healthy French woman was a Gram-positive anaerobic bacterium, non-motile and non-spore forming. The 16S rRNA gene sequence of Marseille-P3519 showed 97.73% of sequence similarity with Limosilactobacillus reuteri DSM 20016, the closest species, phylogenetically. Furthermore, the average nucleotide identity of strain Marseille-3519 with its closest related species was 75.8% that was very below the recommended threshold (>95–96%). Its genome had 2 237 367 bp with 45.42 mol% of G + C content. Major fatty acids were C16:0 (50.8%), C18:1n9 (18.0%), C18:2n6 (9.8%) and C19:1n9 (8.9%). It was catalase negative and fermented glycerol, glucose, fructose, D-maltose, lactose and mannose. These findings support that strain Marseille-P3519 ( = CSURP3519 = CECT 30110) is a new member of the genus Limosilactobacillus for which the name Limosilactobacillus caccae sp. nov., is proposed

The Emergence of Carbapenem- and Colistin-Resistant Enterobacteria in Senegal

International audienceAntibiotic resistance is a public health problem. The emergence of carbapenemase-producing Enterobacterales (CPE) infections is a concern, particularly in Senegal. (1) Methods: Between January 2019 and July 2022, 240 isolates of enterobacteria resistant to third-generation cephalosporins and imipenem from biological samples from Fann Hospital (Dakar) and Hôpital Paix (Ziguinchor) were selected. The isolates were identified by MALDI-TOF mass spectrometry, and susceptibility tests were performed by the disk diffusion method. Antibiotic-resistance genes for class A beta-lactamases, carbapenemases, and plasmid resistance to colistin resistance (mcr-1–8) were screened by RT-PCR. (2) Results: The 240 enterobacteria were composed of: Escherichia coli (60.83%), Klebsiella pneumoniae (21.67%), Enterobacter cloacae (13.75%), Citrobacter freundii (2.08%), Serratia marcescens (0.83%), Klebsiella aerogenes (0.42%), and Proteus mirabilis (0.42%). Class A beta-lactamase genes were found in 229 isolates (70.41% blaTEM, 37.5% blaSHV, 83.75% blaCTX-A, and 0.42% blaCTX-B). The carbapenemase genes blaOXA-48 and blaNDM were found in 25 isolates, including 14 isolates with blaOXA-48, 13 isolates with blaNDM, and 2 isolates with both genes simultaneously. The mcr-8 gene was found in one isolate of E. cloacae. (3) Conclusions: The epidemiology of antibiotic-resistance genes in enterobacteria in Senegal shows the emergence of CPEs. This phenomenon is worrying, and rigorous surveillance is necessary to avoid further spread

Identification of Host Proteins Predictive of Early Stage Mycobacterium tuberculosis Infection

The objective of this study was to identify blood-based protein biomarkers of early stage Mycobacterium tuberculosis (Mtb) infection. We utilized plasma and serum specimens from TB patients and their contacts (age ≥ 12) enrolled in a household contact study in Uganda. In the discovery phase cross-sectional samples from 104 HIV-uninfected persons classified as either active TB, latent Mtb infection (LTBI), tuberculin skin test (TST) converters, or persistent TST-negative were analyzed. Two hundred eighty-nine statistically significant (false discovery rate corrected p  0.85. Panel performance was confirmed with an independent validation set of longitudinal samples from 16 subjects. These candidate protein biomarkers may allow for the identification of recently Mtb infected individuals at highest risk for developing active TB and most likely to benefit from preventive therapy

Bhargavaea massiliensis sp. nov. and Dietzia massiliensis sp. nov., Novel Bacteria Species Isolated from Human Urine Samples in Nigeria

International audienc

Correction to: Bhargavaea massiliensis sp. nov. and Dietzia massiliensis sp. nov., Novel Bacteria Species Isolated from Human Urine Samples in Nigeria

International audienc