نتایج جستجو برای: biolog system
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Bacteria harbored in/on the hyphae of the dark septate endophyte, Veronaeopsis simplex Y34, were identified as a single Rhizobium species by molecular analyses of bacterial 16S rRNA genes, and were successfully isolated from the endophyte. The Rhizobium-cured fungus was prepared thoroughly by an antibiotic treatment, thereby allowing an examination of their effects on organic substrate utilizat...
We propose statistical methods for comparing phenomics data generated by the Biolog Phenotype Microarray (PM) platform for high-throughput phenotyping. Instead of the routinely used visual inspection of data with no sound inferential basis, we develop two approaches. The first approach is based on quantifying the distance between mean or median curves from two treatments and then applying a per...
formul,lrions can 1~ linked to \,ari.ltion,il principles. as ncccssary condirion~ for minimi. through the I-Alcr-l ‘igr‘lngc cqu,itions of Lhc calculus of 1 ariationc 141. .2n ,ittracti\ c fcatiirc of many variational PI Inclplc and assoc~~cd Pl)E formulations. once discrctircd, is that thclr solutions can he computed by itcrati\e algorithms requiring onl! local computations uhich CAM hc pcrfol...
Carbon source utilization tests based on the reducdefining a coloration threshold for positive controls tion of a tetrazolium dye were developed for the or a certain average absorption value improves identification of bacteria [1]. Since Garland and reproducibility, but which threshold gives the best Mills [2] first used such Biolog (Hayward, Ca., resolution? It was also proposed to determine ...
Abstract Background Greenhouse cultivation is mainly a monoculture system, which leads to severe soil degradation, with significant changes the structure of microbial community. The present study aimed determine effects fertilizer and waterlogging (WL) on community that was continuously monocropped cucumber in greenhouse for 3 years (2016–2019). Biolog EcoPlates™ high-throughput sequencing were...
This paper summarizes work on an approach that combines feature selection and data classiication using Genetic Algorithms. First, it describes our use of Genetic Algorithms combined with a K-nearest neighbor algorithm to optimize classiication by searching for an optimal feature weight-ing, essentially warping the feature space to coalesce individuals within groups and to separate groups from o...
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