3 resultados para Relativistic many-body perturbation theory

em Dalarna University College Electronic Archive


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The aim with this Essay is to examine the two most read magazines in Sweden covering the areas of exercising, fitness, bodybuilding, diets and “wellness” –Fitness and Body. Fitness’s target group is predominantly woman, while Body is almost exclusively read by men. The analysis is first done quantitatively, by systematically categorising the contents of the magazines. Then a qualitative analysis is made. Using two different theories, Anja Hirdman’s gender concept along with her constructivistic media perspective and the theory of Symbolic Interactionism, i try to answer the following questions; Does the two magazines term of address and language differ from one and other? And if that is the case, in what way? With point of departure from contents and subject areas, how are the two magazines compounded? How can the underlying message in the different articles be interpreted?The analysis shows that both magazines followed their purpose of writing about exercising in general, diet, fitness and bodybuilding. However, the magazine Fitness writes more often then Body about matters not following the given purpose, and the language in Body is more informative and general in comparison with the language used in Fitness. Still, the messages sent out by the different articles are in majority of the respects similar. Both magazines are portraying body ideals who can be understand as extreme. In Body the message feels fairly straight, “Build bigger muscles and burn more fat”, whereas Fitness willingly use the concept of “wellness” as a cover for what the message really is, namely “get your self a rock hard body through dieting and hard training”!

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Background: Linkage mapping is used to identify genomic regions affecting the expression of complex traits. However, when experimental crosses such as F2 populations or backcrosses are used to map regions containing a Quantitative Trait Locus (QTL), the size of the regions identified remains quite large, i.e. 10 or more Mb. Thus, other experimental strategies are needed to refine the QTL locations. Advanced Intercross Lines (AIL) are produced by repeated intercrossing of F2 animals and successive generations, which decrease linkage disequilibrium in a controlled manner. Although this approach is seen as promising, both to replicate QTL analyses and fine-map QTL, only a few AIL datasets, all originating from inbred founders, have been reported in the literature. Methods: We have produced a nine-generation AIL pedigree (n = 1529) from two outbred chicken lines divergently selected for body weight at eight weeks of age. All animals were weighed at eight weeks of age and genotyped for SNP located in nine genomic regions where significant or suggestive QTL had previously been detected in the F2 population. In parallel, we have developed a novel strategy to analyse the data that uses both genotype and pedigree information of all AIL individuals to replicate the detection of and fine-map QTL affecting juvenile body weight. Results: Five of the nine QTL detected with the original F2 population were confirmed and fine-mapped with the AIL, while for the remaining four, only suggestive evidence of their existence was obtained. All original QTL were confirmed as a single locus, except for one, which split into two linked QTL. Conclusions: Our results indicate that many of the QTL, which are genome-wide significant or suggestive in the analyses of large intercross populations, are true effects that can be replicated and fine-mapped using AIL. Key factors for success are the use of large populations and powerful statistical tools. Moreover, we believe that the statistical methods we have developed to efficiently study outbred AIL populations will increase the number of organisms for which in-depth complex traits can be analyzed.

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Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in upto 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 x 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for similar to 2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous systemin obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.