PubMed · 16323743
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Bertrand Kiefer. 2005-11-02. [Ideologies and proof].. https://pubmed.ncbi.nlm.nih.gov/16323743/
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The Mediterranean population of tomato leaf curl New Delhi virus (ToLCNDV-ES) is characterized by a high genetic uniformity, distinguishing it from its Asian counterparts. ToLCNDV-ES is thought to have a monophyletic origin, likely resulting from a single recombination event, prior to its spread throughout the Mediterranean region. Following its first detection in southeastern France in 2020, ToLCNDV-ES re-emerged in France in 2022. Our analysis based on advanced long-read sequencing, circular DNA profiling, and phylogeny indicates both local persistence of French ToLCNDV-ES and multiple independent introduction events. Signatures of positive selection were identified in French ToLCNDV-ES populations, whereas no clear evidence of recombination was found. Bayesian time-structured phylogenetic analyses suggest that introductions in France occurred between 2018 and 2021 from the major ToLCNDV-ES clade, while several Italian ToLCNDV-ES isolates diverged prior to the virus introduction in the Mediterranean basin. Overall, this study demonstrates the value of an optimized long-read sequencing approach for resolving circular DNA virus diversity, and sheds light on the complex evolutionary history of ToLCNDV-ES in the Mediterranean Basin, particularly in southeastern France.
This paper addresses the issue of how semantic information can be automatically assigned to compound terms, i.e. both a definition and a set of semantic relations. This is particularly crucial when elaborating multilingual databases and when developing cross-language information retrieval systems. The paper shows how morphosemantics can contribute in the constitution of multilingual lexical networks in biomedical corpora. It presents a system capable of labelling terms with morphologically related words, i.e. providing them with a definition, and grouping them according to synonymy, hyponymy and proximity relations. The approach requires the interaction of three techniques: (1) a language-specific morphosemantic parser, (2) a multilingual table defining basic relations between word roots and (3) a set of language-independent rules to draw up the list of related terms. This approach has been fully implemented for French, on an about 29,000 terms biomedical lexicon, resulting to more than 3000 lexical families. A validation of the results against a manually annotated file by experts of the domain is presented, followed by a discussion of our method.
Patients with multiple sclerosis (MS) often report worsening of symptoms with increased environmental temperature. The aim of this paper was to determine whether or not the heat wave of the summer of 2003 in France was responsible for an increase in hospital admissions and relapses in MS patients. MS patients who were hospitalized between January 1,2000 and December 31,2003 were identified, and we established which patients were suffering relapses. Hospitalization and relapse seasonality were examined and analyzed according to ambient temperature variations. We did not observe a greater number of hospital admissions and relapses during the summer of 2003 compared to the previous 3 years. Results showed that MS hospitalizations display a significant trough in the winter season, especially in December, but no significant peak season or month was observed. There was no statistically significant correlation between mean ambient temperature and the number of admissions and relapses. The adverse symptoms associated with high temperatures that are usually observed in MS patients may require rapid rises in ambient temperate or in internal body temperature.