https://www.selleckchem.com/products/OSI-906.html In the second part of the questionnaire, the stated choice experiment confronted respondents with 15 consecutive choice tasks, with each task involving a choice between two "energy system transformation" options and an opt-out option (none). Each choice option (beside the opt-out option) included four unlabeled attributes (landscape, wind energy infrastructure, photovoltaic energy infrastructure, high voltage overhead power line infrastructure) with varying levels. Due to data cleaning procedures (item nonresponse) the number of responses used within hybrid choice modeling and analysis was n = 844 (12,660 choice observations). An analysis of the hybrid choice model and further insights are presented in the article "How landscape-technology fit affects public evaluations of renewable energy infrastructure scenarios. A hybrid choice model."Estimation of archaeal numbers by use of fluorescent DNA binding dyes is challenging, because primers targeting the archaeal 16SrRNA genes readily also bind to bacterial 16S rRNA gene sequences, especially when the relative abundance of bacteria is greater than that of archaea. In order to increase specificity, we optimized a fluorescent probe-based assay using previously published archaeal primers and probe. The assay was tested on genomic DNA of pure bacterial and archaeal cultures and optimized using PCR amplicons of the archaeal pure cultures. The used bacterial strains showed slight amplification using the fluorescent dye assay, whereas all archaeal strains could be amplified with the archaea primers used. Due to differences in genome size and number of 16S rRNA gene copies between the tested archaeal strains, the amplification level varied greatly between the strains. Therefore, we also tested the amplification using PCR amplified fragments of the archaeal 16S rRNA genes. The tests with the archaeal 16S rRNA gene amplicons showed good amplification, although the amplification e