Grafisk profilering med praktisk tillämpning på PZ hair : Graphic profiling with a practical application on PZ hair

Design, Grafiskt program, Symbol, Hair

Corporate identity through graphic design

The degree project has been implemented abroad in Brisbane, Australia. A literature study has beenperformed parallel to the practical work within the subject »Corporate identity through graphicaldesign«. In this study deeper research has been made concerning the establishment and manifestationof a corporate identity and its program. The knowledge given from this study has been put into practicethrough two larger projects.The first project was carried out at De Pasquale, advertising agency in Brisbane, where a corporateidentity program was designed for a new company. The company is a fitness centre, called KnockoutFitness, which specializes in different types of boxing training sessions such as Boxing, Thai Bow andBoxercise but also Aqua aerobics. They needed a full corporate identity program including a logotype,business card, letter paper-paper and address labels.The second project was carried out at Queensland University of Technology in Brisbane. A promotioncampaign was designed for the Department of Visual Arts, which included two information folders andone advertisement. The purpose of the campaign was to promote both the undergraduate and postgraduatecourses offered within the department.

Genetic heterogeneity of within-family variance of body weight in Atlantic salmon (Salmo salar)

BACKGROUND: Canalization is defined as the stability of a genotype against minor variations in both environment and genetics. Genetic variation in degree of canalization causes heterogeneity of within-family variance. The aims of this study are twofold: (1) quantify genetic heterogeneity of (within-family) residual variance in Atlantic salmon and (2) test whether the observed heterogeneity of (within-family) residual variance can be explained by simple scaling effects. RESULTS: Analysis of body weight in Atlantic salmon using a double hierarchical generalized linear model (DHGLM) revealed substantial heterogeneity of within-family variance. The 95% prediction interval for within-family variance ranged from ~0.4 to 1.2 kg2, implying that the within-family variance of the most extreme high families is expected to be approximately three times larger than the extreme low families. For cross-sectional data, DHGLM with an animal mean sub-model resulted in severe bias, while a corresponding sire-dam model was appropriate. Heterogeneity of variance was not sensitive to Box-Cox transformations of phenotypes, which implies that heterogeneity of variance exists beyond what would be expected from simple scaling effects. CONCLUSIONS: Substantial heterogeneity of within-family variance was found for body weight in Atlantic salmon. A tendency towards higher variance with higher means (scaling effects) was observed, but heterogeneity of within-family variance existed beyond what could be explained by simple scaling effects. For cross-sectional data, using the animal mean sub-model in the DHGLM resulted in biased estimates of variance components, which differed substantially both from a standard linear mean animal model and a sire-dam DHGLM model. Although genetic differences in canalization were observed, selection for increased canalization is difficult, because there is limited individual information for the variance sub-model, especially when based on cross-sectional data. Furthermore, potential macro-environmental changes (diet, climatic region, etc.) may make genetic heterogeneity of variance a less stable trait over time and space.

The Graphic Designer as (a)Digital Nomad : A qualitative study

Syftet med denna studie var att undersöka hur digitala nomader utövar sitt yrke som grafiska designers, varför de valde att bli digitala nomader samt vilka fördelar och nackdelar som finns. Totalt intervjuades 10 före detta och nuvarande digitala nomader via email och svaren sammanställdes och analyserades för att finna teman och sammanhang. Resultatet visar att deltagarna valde en digital nomadisk livsstil främst på grund av den frihet det innebär. De är även helt beroende av internet, då det är den grundläggande teknologin som möjliggör distansarbete. Att vara digital nomad verkar inte ha en negativ inverkan på den grafiska designprocessen och alla verktyg som behövs anser de finns tillgängliga digitalt. Den del av det traditionella designyrket på en byrå som deltagarna i studien saknade mest var kreativa diskussioner med kollegor.

Genetic heterogeneity of residual variance : estimation of variance components using double hierarchical generalized linear models

Background: The sensitivity to microenvironmental changes varies among animals and may be under genetic control. It is essential to take this element into account when aiming at breeding robust farm animals. Here, linear mixed models with genetic effects in the residual variance part of the model can be used. Such models have previously been fitted using EM and MCMC algorithms. Results: We propose the use of double hierarchical generalized linear models (DHGLM), where the squared residuals are assumed to be gamma distributed and the residual variance is fitted using a generalized linear model. The algorithm iterates between two sets of mixed model equations, one on the level of observations and one on the level of variances. The method was validated using simulations and also by re-analyzing a data set on pig litter size that was previously analyzed using a Bayesian approach. The pig litter size data contained 10,060 records from 4,149 sows. The DHGLM was implemented using the ASReml software and the algorithm converged within three minutes on a Linux server. The estimates were similar to those previously obtained using Bayesian methodology, especially the variance components in the residual variance part of the model. Conclusions: We have shown that variance components in the residual variance part of a linear mixed model can be estimated using a DHGLM approach. The method enables analyses of animal models with large numbers of observations. An important future development of the DHGLM methodology is to include the genetic correlation between the random effects in the mean and residual variance parts of the model as a parameter of the DHGLM.