Monthly Archives: June 2019

J Non-Crystalline Solids 2008, 354:2809–2815.CrossRef 10. Albertin KF, Pereyra I: Improved effective charge density in MOS capacitors with PECVD SiO x N y dielectric layer obtained at low RF power. J Non-Crystalline Solids 2008, 354:2646–2651.CrossRef 11. Green ML, Gusev EP, … Continue reading →

There are several methods to measure pigment–pigment interactions that are correlated with qE. One spectroscopic change that occurs during qE is the \(\Updelta A_535\) signal (Krause 1973). This signal is determined by measuring the difference absorption spectra between light- and … Continue reading →

Histological grade, anatomically based TNM staging system, serum biomarkers, genes and other factors have been used to predict prognosis so far [5, 15, 30, 31]. Currently, TNM staging system remains the most widely used prognostic model, while newly emerging biomarkers … Continue reading →

L. asiaticus’ strains from China and Florida. Amplicon profiles on agarose gel were designated as electrophoretic types or E-types. E-type frequencies were summarized and Chi-square test was used to determine the significance of E-type differences at different geographical locations. DNA … Continue reading →

6 ± 0.708 min using a single Gaussian distribution function: selleck chemical i.e., Eq. 7 with α = 1 and β = 0; Methods Section). However, when CI < ca. 100 CFU mL-1 there was a clear broadening in the … Continue reading →

To our knowledge, no previous study has examined the separate relationships between 25(OH)D2, 25(OH)D3 and bone outcomes in childhood. Since 25(OH)D3 makes the major contribution to total 25(OH)D, it is relevant to compare our findings with those from these previous … Continue reading →

Real-time PCR primers are listed in Additional file 1: Table S4. Relative RNA level of a particular gene in mutant strains was normalized to that of wild type using the 2−ΔΔCt method with 16S rRNA or recA as reference gene … Continue reading →

sakei regulated by σLsa H, the experimental system described above was used in a full-genome comparative transcriptome analysis of sigH(hy)* and sigH(wt)* after one hour induction with 30 μM CuSO4. Quantification and statistical analysis of the microarray data (see Methods … Continue reading →

0 7.0 0.4 62.2 ± 2.6 62.4 47.1 ± 2.8 47.9 29.1 ± 2.5 27.5 11 0 +1 3.7 5.0 7.0 0.4 125.3 ± 0.8 123.7 54.1 ± 0.2 53.5 44.9 ± 2.9 51.9 12 +1 +1 7.4 5.0 7.0 0.4 140.2 ± 8.0 140.7 78.8 ± 0.5 78.5 61.1 ± 1.9 55.6 *The cultivations were performed in … Continue reading →

Bioinformatics 2005, 21:3797–3800.CrossRef 17. Tcherepanov V, Ehlers A, Upton C: Genome Annotation Transfer Utility (GATU): rapid annotation of viral genomes using a closely related reference genome. BMC Genomics 2006, 7:150.CrossRefPubMed Authors’ contributions PM conceived the study, designed the analytical procedure … Continue reading →