8 research outputs found
Activité antifongique in vitro du phoséthyl-Al sur quelques souches de Verticillium albo-atrum Reinke & Berthold
La fongitoxicité du phosphonate, métabolite actif du phoséthyl-Al est modulée par la composition des milieux de culture. Sur le Cristomalt (milieu naturel) la toxicité du phosphonate vis-à -vis du Verticillium albo-atrum Reinke & Berthold. fonne à microsclérotes. est beaucoup plus grande que sur le Ribeiro (milieu synthétique). L'addition du phosphate au milieu de culture abaisse l'efficacité du phosphonate. Ce sont toujours les souches de Verticillium pathogÚnes sur la tomate, qui sont les plus sensibles au phoséthyl-Al.In vitro antifungal activity of fosetyl-Al on several strains of Verticillium albo-alrum Reinloe & BertholdToxicity of phosphonate, the active breakdown product of the fosethyl-Al, is modulated by culture media composition. On the Cristomalt ( natural medium), phosphonate toxicity against Verticillium albo-atrum Reinke & Berthold,-microsclerotial fonn, is higher than in synthetic media (Ribeiro). Phosphate is the main constituent of culture medium which modifies phosphonate fungitoxicity. Strains ofVerticillium, pathogenicon tomato, are al ways more sensitive" to fosethyl-Al
Effects of Speeds, Materials, and Tool Rake Angles on Metallic Particle Emission During Orthogonal Cutting
Improving machining performance of Ti-6Al-4V through multi-point minimum quantity lubrication method
Machinability of A356 cast alloys under the effect of artificial aging treatment and lubrication modes
Experimental investigation of copper nanofluid based minimum quantity lubrication in turning of H 11 steel
Cutting Conditions Modeling and Optimization in Hard Turning Using RSM, ANN and Desirability Function
Critical assessment of automated flow cytometry analysis techniques
Traditional methods for flow cytometry (FCM) data processing rely on subjective manual gating. Recently, several groups have developed computational methods for identifying cell populations in multidimensional FCM data. The Flow Cytometry: Critical Assessment of Population Identification Methods (FlowCAP) challenges were established to compare the performance of these methods on two tasks: (i) mammalian cell population identification, to determine whether automated algorithms can reproduce expert manual gating and (ii) sample classification, to determine whether analysis pipelines can identify characteristics that correlate with external variables (such as clinical outcome). This analysis presents the results of the first FlowCAP challenges. Several methods performed well as compared to manual gating or external variables using statistical performance measures, which suggests that automated methods have reached a sufficient level of maturity and accuracy for reliable use in FCM data analysis