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

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)

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)

Additional file 3: of Five omic technologies are concordant in differentiating the biochemical characteristics of the berries of five grapevine (Vitis vinifera L.) cultivars

Annotation, protein spectral counts, Normalized Spectral Abundance Factor (NSAF) values and log2 transformed NSAF values for each replicate and protein identified, with ‘.count’, ‘.NSAF’, and ‘.NSAF.log2’ suffixes, respectively. Mass weight (Mr) and amino acid (AA) length are approximated values. Cultivar and treatment abbreviations for experimental replicates: Cabernet Sauvignon (CS), Merlot (ME), Pinot Noir (PN), Chardonnay (CD), and Semillon (SM) grown under well-watered (W) and water deficit (D) conditions, n = 3. Other column headings refer to a combination of cultivar name, treatment, and replicate number. For example, CDD2, is Chardonnay, water deficit and replicate 2. (XLS 4096 kb

Additional file 7: of Five omic technologies are concordant in differentiating the biochemical characteristics of the berries of five grapevine (Vitis vinifera L.) cultivars

Mean relative abundance values, M/Z, and results from the ANOVA for all primary and secondary metabolomic details for all metabolites (67) analyzed by GC-MS and (42) analyzed by LC-MS in five grape cultivars. Cultivar and treatment abbreviations for experimental replicates: Cabernet Sauvignon (CS), Merlot (ME), Pinot Noir (PN), Chardonnay (CD), and Semillon (SM) grown under well-watered (W) and water deficit (D) conditions, n = 6. (XLS 76 kb

Additional file 9: of Five omic technologies are concordant in differentiating the biochemical characteristics of the berries of five grapevine (Vitis vinifera L.) cultivars

Correlations of protein and transcript abundance. Protein data are log2 NSAF values, n = 3, RNAseq data are log2 normalized counts per million (CPM), n = 3, and microarray data are log2 RMA values, n = 5. Relationships of proteins with either RNAseq (CPM) or microarray (RMA) are indicated. (XLS 370 kb