A Q-method investigation of individual value priorities in subjective well-being: understanding what makes well-being matter.

Objectives: The current investigation aimed to inform theory by exploring the question: How do individual value-priorities influence participants’ constructions of personal well-being? Design: The study employed Q Methodology, which assembles a comprehensive concourse of literature-informed viewpoints, operationalised as numbered qualitative statements for objective quantitative analysis. Q Method provided the ability to operationalise and integrate complex subjective values, facilitating subsequent interpretative analysis of how values influence subjective well-being. Methods: An opportunity sample of 30 participants (12 male, 18 female; 19-66 years), ranked 60 value statements according to subjective importance on a 13-point forced choice distribution grid ranging from -6 (most unimportant) to +6 (most important). Data were subjected to factor analysis and factor extraction using principle component analysis with Varimax rotation. Data sets loading on separate factors with an Eigenvalue of .06 or above were merged to form holistic factor arrays, each subjected to holistic interpretive analyses. Results: Thirteen participants (8 male 5 female), loaded significantly on five factors, (factors 1,2 and 3; three loadings), (factors 4 and 5; two loadings), accounting for 53% of the sample variance. Holistic analyses identified five themes: Exploring Life through my Choices; Faith Family Acceptance and Balance; Keeping Family Close and Embracing Life; Finding Positive Meaning in the World; Being True to Myself and Defining my Boundaries. Conclusions: Findings demonstrate that individual values have a significant influence on subsequent development of subjective constructs of personal well-being. These constructs do not conform to components associated with one distinct domain of well-being, but incorporate dynamic, interactive components from multiple domains

Comparison of DMSP cross-track ion drifts and SuperDARN line-of-sight velocities

Cross-track ion drifts measured by the DMSP satellites are compared with line-of-sight SuperDARN HF velocities in approximately the same directions. Good overall agreement is found for a data set comprising of 209 satellite passes over the field of view of nine SuperDARN radars in both the Northern and Southern Hemispheres. The slope of the best linear fit line relating the SuperDARN and DMSP velocities is of the order of 0.7 with a tendency for SuperDARN velocities to be smaller. The agreement implies that the satellite and radar data can be merged into a common set provided that spatial and temporal variations of the velocity as measured by both instruments are smooth.<br><br> <b>Keywords.</b> Ionosphere (Ionospheric irregularities; Plasma convection; Auroral ionosphere

Translation and Community in the work of Elizabeth Cary

Explores the role of female community within Elizabeth Cary\u27s translations and her play, The Tragedy of Mariam

An unfolding signifier: London's Baltic Exchange in Tallinn

In the summer of 2007 an unusual cargo arrived at Muuga and Paldiski harbors outside Tallinn. It consisted of nearly 50 containers holding over 1,000 tons of building material ranging from marble columns, staircases and fireplaces, to sculpted allegorical figures, wooden paneling and old-fashioned telephone booths. They were once part of the Baltic Exchange in the City of London. Soon they will become facets of the landscape of Tallinn. The following article charts this remarkable story and deploys this fragmented monument to analyze three issues relating to the Estonian capital: the relocation of the ‘Bronze Soldier’, the demolition of the Sakala Culture Center, and Tallinn’s future role as European Cultural Capital in 2011

SNP Discovery and Haplotypic Variation in Full-Length Herbage Quality Genes of Perennial Ryegrass (Lolium Perenne L.)

The development of forages with enhanced nutritive value through improvements of herbage quality (digestibility, carbohydrate content) is potentially capable of increasing both meat and milk production by up to 25%. However, the expense and time-consuming nature of the relevant biochemical and biophysical assays has limited breeding improvement for forage quality. The development of accurate high-throughput molecular marker-based selection systems such as single nucleotide polymorphisms (SNPs) permits evaluation of genetic variation and selection of favourable variants to accelerate the production of elite new varieties

Gene-Associated Single Nucleotide Polymorphism (SNP) Discovery in Perennial Ryegrass (\u3cem\u3eLolium Perenne\u3c/em\u3e L.)

Perennial ryegrass (Lolium perenne L.) is the most important grass species for temperate pasture systems world-wide. Varietal improvement programs for this obligate outbreeding species are based on polycrossing of multiple parents to produce heterogeneous synthetic populations. The complexity of breeding systems creates challenges and opportunities for molecular marker technology development and implementation. Previous research has led to: the generation of a comprehensive suite of simple sequence repeat (SSR) markers, reference genetic map construction, comparative genetic studies, QTL identification, and population structure analysis. Emphasis has now shifted from the use of anonymous genetic markers linked to trait-specific genes to the development of functionally-associated genetic markers based on candidate genes. The successful implementation of this approach will allow effective selection of parental plants in germplasm collections based on superior allele content

Integration of Perennial Ryegrass (L. Perenne) Genetic Maps using Gene-Associated SNPs

The reference genetic map of perennial ryegrass was developed by the International Lolium Genome Initiative (ILGI), using the p150/112 one-way pseudo-testcross population. A selection of public domain genetic markers including RFLPs, detected by wheat, barley, oat and rice cDNA probes, and AFLPs were mapped, allowing studies of comparative relationships between perennial ryegrass and other Poaceae species. The map was enhanced through the addition of unique perennial ryegrass genomic DNA-derived SSR (LPSSR) markers, providing the basis of framework genetic mapping in other populations. In addition, a small number of RFLP loci detected by candidate genes involved in herbage quality traits were added to the map. A second-generation reference genetic mapping family was developed based on the F1(NA6 x AU6) two-way pseudo-testcross family, generating two parental genetic maps. These maps were populated by genomic SSR loci, EST-RFLP loci and EST-SSR loci (corresponding to multiple functional categories of agronomic importance). A third genetic mapping population based on an interspecific cross between perennial and annual ryegrass genotypes [F1(Andrea1246 x Lincoln1133)] generated a map based on LPSSR and EST-SSR markers. Linkage groups in the two latter maps were inferred using common LPSSR loci with the p150/112 genetic map

Isolation and Characterisation of Genes Encoding Ice Recrystallisation Inhibition Proteins (IRIPs) in the Cryophilic Antarctic Hair-Grass (\u3ci\u3eDeschampsia Antarctica\u3c/i\u3e) and the Temperate Perennial Ryegrass (\u3ci\u3eLolium Perenne\u3c/i\u3e)

Antarctic hairgrass (D. antarctica Desv.), the only grass species indigenous to Antarctica, has a well developed tolerance of freezing, strongly induced by cold-acclimation. In response to low temperatures D. antarctica exhibits recrystallisation inhibition (RI) activity, localised to the apoplasm, that prevents further growth of ice crystals following freezing

Gene-Associated Single Nucleotide Polymorphism Discovery in White Clover (\u3cem\u3eT. Repens\u3c/em\u3e L.)

Single nucleotide polymorphism (SNP) discovery permits the discovery of molecular marker variation associated with functionally-defined genes. SNP markers have been developed for the temperate pasture legume crop white clover (Trifolium repens) using public and proprietary genic sequences correlated with key agronomic traits of interest