a) First aerial photographic series: 1927-2007 (15 records), PHTH-WL; ... series: 1927-2008 (23 records), WDL-RM; d) Complete series (without 1927 and 1929.
particles (1Ã107 GC/ml) expressing LentiCon or shRNAs (Santa Cruz) were .... (B) K14 (green) and Lef1 (red) IHC staining of WT and BAF250a cKO eyelids.
computed by using the phonopy code4. There are no imaginary frequencies in the phonon dispersion, indicating its dynamical stability. Figure S4. The phonon ...
2(UNO-)](O2. 2-. )(SbF6). UV-vis absorption spectra were recorded on a Hewlett Packard 8453 spectrophotometer and Shimadzu UV-3100PC attached with a ...
Cameron Alexander d. ,. Kevin M. Shakesheff d. , and Brian R. Saunders a,. * a. Biomaterials Research Group, The School of Materials, The University of ...
The geological units underlying the High Plains (HP) aquifer range from Permian ... that were not within the HP or CV aquifer were excluded. ..... 2,103 (26.5%).
hexane (10.4 mmol, 1.2 eq.), 10.4 mL of a 1.0 m solution of Catecholborane in diethylether. (10.4 mmol, 1.2 eq.) were added dropwise and the solution stirred at ...
(a) Energy band diagram and (b) electric field distribution of the bottom cell (at .... with 7.2% Efficiency by Incorporation of Silver, ACS Energy Letters, 1 (2016) ...
0. 52. 105. 157. 209. 98.2 %. M1. HT140-E. Nanog-FITC-H. Co u n t. 102. 103. 104. 105. 106. 107. 0. 52. 105. 157. 209. M1. 97.2 %. HT146-B. Nanog-FITC-H.
Enantioselective disturbance of chiral herbicide dichlorprop to nitrogen metabolism of Arabidopsis thaliana: Regular analysis and stable isotope attempt.
D30. Supporting Information Figure 2: Immunisation with OVA-2W1S/alum in the paw pad results in minimal antigen depots capable of supporting naïve T cell ...
These are not the final page numbers. European Journal of. Immunology. Supporting Information for. DOI 10.1002/eji.201242914. Adnan Khan, Hongmei Fu, ...
characterization, the polyacrylamide gel was stained by Coomassie brilliant blue ... the extracellular fluorescence was quenched with 0.4% trypan blue for.
respectively, were mixed by grinding in an agate mortar with a molar ratio of 2:1. The mixture was loaded into an alumina boat and subsequently inserted into ...
by using the supercell approach with the finite displacement method implemented in the Phonopy package. 7 . The plane-wave energy cutoff has been set to be ...
(1)Dedryvere, R.; Foix, D.; Franger, S.; Patoux, S.; Daniel, L.; Gonbeau, D. J Phys Chem C 2010, 114,. 10999. (2)HURAVLEV, J. F.; KUZNETSOV, M. V.; ...
K+ titration into known G4-DNA-forming sequences initially annealed under ... Comparison of the temperature-dependent fluorescence of AP-A33hg under G4-.
Figure S1. Mixed acid-2,3-butanediol pathway (dashed lines represent the pathways that are active only under the aerobic conditions). TCA: tricarboxylic acids ...
Butyryl chloride. Et3N. (R,S)-1. (R,S)-2. 1 was dissolved in dichloromethane and triethylamine (1.1 equiv.) and butyryl chloride (1.5 equiv.) were added.
Michael Kalyuzhny a. , Gregorio Moreno-Rueda b ...... Hannus, J.-J. & von Numers, M. Vascular plant species richness in relation to habitat diversity and island ...
N-terminal FLAG-tagged human lamin A and progerin ... Sepharose 4B beads. Flag-progerin was pulled-down using agarose beads conjugated with FLAG ...
Toxicological Effects of NCKU-21, a Phenanthrene Derivative, on Cell Growth and. Migration of A549 and CL1-5 Human Lung Adenocarcinoma Cells. Short title: ...
hierarchical modelling in two stages, with application ... It simply allows us to create a link between each theta[i,] and the L samples generated for theta[i,] in ...
Supporting Information for “Fully Bayesian hierarchical modelling in two stages, with application to meta-analysis” David Lunn∗, Jessica Barrett, Michael Sweeting and Simon Thompson MRC Biostatistics Unit, Cambridge, UK
Appendix A: Implementation Details of how to set up OpenBUGS for performing two-stage analyses can be obtained by emailing the corresponding author.
A.1 Generic code for stage two The second stage of our method is implemented in OpenBUGS using the following code, for a p-dimensional set of parameters of interest. model { for (i in 1:N) { dummy[i] ~ dproposem(theta[i, 1:p], samples[i, 1:p, 1:L]) theta[i, 1:p] ~ dmnorm(mu[], Sigma.inv[,]) } mu[1:p] ~ dmnorm(c[], T[,]) Sigma.inv[1:p, 1:p] ~ dwish(R[,], rho) Sigma[1:p, 1:p]
