BACKGROUND Recent advances in next-generation DNA sequencing enable rapid high-throughput quantitation of microbial community composition in human samples, opening up a new field of microbiomics. One of the promises of this field is linking abundances of microbial taxa to phenotypic and physiological states, which can inform development of new diagnostic, personalized medicine, and forensic mod...

BACKGROUND Despite advances in surgical techniques, sterile protocols, and perioperative antibiotic regimens, surgical site infections (SSIs) remain a significant problem. We investigated the relationship between wound classification (i.e., clean, clean/contaminated, contaminated, dirty) and SSI rates in plastic surgery. METHODS We performed a retrospective review of a multi-institutional, su...

Chav́ın de Huántar is an archaeological site of critical interest for intepreting the Andean archaeological record. In this paper, we present our work on developing an object recognition system to classify Chav́ın pot sherds by decorative impressions. We trained and evaluated MSER and SURF based classification systems on a small labeled set of replica sherds and achieved classification accuracy o...

in this paper, the 10-minutes period measured wind speed data at different heights (10 m, 30 m, and 40 m) are presented for khvaf, which is one of the major counties with high wind potential in khorasan provinces in iran. to the author’s knowledge, there hasn’t been any assessment works in the mentioned site. from the primary evaluation and by determining mean wind speed and also the weibull fu...

Résumé. L’obtention d’une classification des pages d’un site web en fonction des navigations extraites des fichiers "logs" du serveur peut s’avérer très utile pour évaluer l’adéquation entre la structure du site et l’attente des utilisateurs. On construit une telle typologie en s’appuyant une mesure de dissimilarité entre les pages, définie à partir des navigations. Le choix de la mesure la plu...

Large-scale collaborative analysis of brain imaging data, in psychiatry and neurology, offers a new source of statistical power to discover features that boost accuracy in disease classification, differential diagnosis, and outcome prediction. However, due to data privacy regulations or limited accessibility to large datasets across the world, it is challenging to efficiently integrate distribu...