Models of time structures of interest rates and their use in valuation of liabilities of life insurance Company

This master thesis aims to describe problematics of the stochastic modeling of time structures of interest rates with Vasicek, CIR and Hull-White models and the use of these models in valuation of liabilities and time value of options and guaranties in life insurance. In the theoretical part of the thesis there are fundamentals of stochastic calculus, stochastic models of interest rates and introduction to problematics of life insurance defined. Furthermore, the last practical part of the thesis demonstrates impact of particular models on the value of liabilities in relation to clients and on the value of TVOG of real European life insurance Company

Additional file 7: of Transcriptomic network analyses of leaf dehydration responses identify highly connected ABA and ethylene signaling hubs in three grapevine species differing in drought tolerance

kME values of all transcripts in each of the gene modules determined by WGCNA. (XLSX 15417 kb

Additional file 2 of petal: Co-expression network modelling in R

petal’s output file from its genes of interest analysis. Genes of interests are listed with their corresponding cluster coefficient and degree, the number of maximal cliques within the gene of interest subnetwork is stated and each maximal clique’s members are provided with the associated vicinity network’s name, lastly a summary table of the vicinity networks is given. The summary table includes the name of the vicinity network (e.g. VN1, VN2), the number of nodes within the particular vicinity network (VNsize), the number of genes of interest within the vicinity network (GoInum), and its density. (TXT 196 kb

Additional file 1 of petal: Co-expression network modelling in R

petal’s Histogram and Q-Q plot of the Mountain Pine Beetle’s transformed expression data. (PDF 271 kb

El Diario de Pontevedra : periódico liberal: Ano XLII Número 12723 - 1927 xuño 6

Statistical results from gene set enrichment analysis of the DEGs using BinGO (XLSX 271 kb)

El Diario de Pontevedra : periódico liberal: Ano LII Número 17828 - 1938 decembro 10

BinGO analysis of the top 500 DEGs with a positive difference between 26 and 20° Brix (26–20) (XLSX 73 kb)

Additional file 13: of A comparison of heat-stress transcriptome changes between wild-type Arabidopsis pollen and a heat-sensitive mutant harboring a knockout of cyclic nucleotide-gated cation channel 16 (cngc16)

A comparison of HS-dependent changes in pollen to 67 multi-stress response genes in vegetative tissues. From a list of 67 multi-stress genes curated by Swindell 2006 (PMCID: PMC1698639 [47]; highlighted in purple), 19 genes showed detectable expression in pollen. Among those, only three genes showed significant changes in pollen HS (red font). (XLSX 596 kb

Additional file 4: of A comparison of heat-stress transcriptome changes between wild-type Arabidopsis pollen and a heat-sensitive mutant harboring a knockout of cyclic nucleotide-gated cation channel 16 (cngc16)

Library size and principal component analysis. a. Table showing library sizes of each sample. b. A principal component analysis (PCA) of the filtered data showing that 87% of the variance of the samples can be explained by differences in the stress states. See methods for more details. Control and heat correspond to normal and HS conditions, respectively. (PPTX 43 kb

Additional file 5: of A comparison of heat-stress transcriptome changes between wild-type Arabidopsis pollen and a heat-sensitive mutant harboring a knockout of cyclic nucleotide-gated cation channel 16 (cngc16)

A transcript profile comparison to evaluate purity of pollen samples used for RNA-Seq. A subset of 12 genes was used to compare relative purities of pollen samples in the current pollen transcriptome study to those from a RNA-Seq study from Loraine et al. [22] (yellow highlights) or a microarray experiment from Qin et al. 2009 [23] (purple highlights). Four references genes were chosen to generate normalization factors that could be used to adjust expression values in Loraine et al. [22] and Qin et al. 2009 [23] to allow a relative comparison of the three data sets for WT pollen under control (normal) conditions. For a control group, three CNGC genes were chosen that displayed low to moderate levels of expression (Tunc-Ozdemir et al. 2013 [24] and Frietsch et al. 2007 [25]). As markers for potential contamination from photosynthetic tissues, five different nuclear encoded genes were chosen that are associated with either photosystems I/II, or chlorophyll A-B binding proteins (Umate 2010 [26]). Average relative ratios are shown for each of the four different pollen samples in comparison to both Loraine et al. [22] and Qin et al. [23]. (XLSX 19 kb

Additional file 15: of A comparison of heat-stress transcriptome changes between wild-type Arabidopsis pollen and a heat-sensitive mutant harboring a knockout of cyclic nucleotide-gated cation channel 16 (cngc16)

GO analysis on the 192 largest differences between WT and cngc16 under HS. A GO analysis pie chart is shown for Molecular Function (a), Cellular Component (b), and Biological Process (c) generated using an upload of Additional file 3 or Additional file 9e column R listing the differences (≥ 2-fold and adjusted p-value ≤0.01) between WT and cngc16 HS-transcriptomes. Categories were defined using PANTHER Overrepresentation Test (release 2017–04-13 [61]) using a GO Ontology database (released 2017–08-14) with 27,060 reference genes for Arabidopsis thaliana. Gene categories shown displayed enrichments with a p-value of ≤0.05. (PPTX 993 kb