This aim of this study was to determine the antibacterial activity in extracts obtained from various Nigerian chewing sticks. Aqueous extracts from seventeen chewing sticks and the fruit of C. ferruginea, one fruit used in oral hygiene in Nigeria, were screened for antibacterial activity against type cultures of Staphylococcus aureus, Bacillus subtilis, Escherichia coli, and Pseudomonas aerugin...

A Gram-negative, strictly aerobic, non-motile and non-spore-forming rod that produced white, viscous colonies, designated QH(T), was isolated from bulking sludge collected from a municipal wastewater treatment plant in Beijing, China. Phylogenetic analysis based on 16S rRNA gene sequences showed that strain QH(T) belonged to the genus Terrimonas and shared 96.3 % sequence similarity with Terrim...

Although the tremendous variability in floral colour among angiosperms is often attributed to divergent selection by pollinators, it is usually difficult to preclude the possibility that floral colour shifts were driven by non-pollinator processes. Here, we examine the adaptive significance of flower colour in Disa ferruginea, a non-rewarding orchid that is thought to attract its butterfly poll...

Afin de promouvoir la Médecine traditionnelle togolaise (MTT), préserver/conserver des savoirs et savoir-faire endogènes, une enquête ethnobotanique a été menée Mai 2018 à Juillet 2019 pour recenser les recettes plantes aux propriétés anti-infectieuses vendues dans marchés Région Sanitaire Lomé-Commune du Togo. ATRM(Achat en Triplet Recettes Médicinales) méthode collecte données. Les données re...

The aim of this study was to develop nanoemulsion containing soft extract of stem bark of Rapanea ferruginea to improve the topical delivery and anti-inflammatory activity. The extract of R. ferruginea stem bark was incorporated into the oily phase of the nanoemulsion by the method of phase inversion at low energy. The developed nanoemulsion had an average droplet size of 47.88±8.20 nm and a po...

A hierarchical framework is proposed to address the issues of modeling different type of words in keyword spotting (KWS). Keyword models are built at various levels according to the availability of training set resources for each individual word. The proposed approach improves the performance of KWS even when no training speech is available for the keywords. It also suggests an easier way to co...

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