Uppsala University

About: Uppsala University is a education organization based out in Uppsala, Sweden. It is known for research contribution in the topics: Population & Gene. The organization has 36485 authors who have published 107509 publications receiving 4220668 citations. The organization is also known as: Uppsala universitet & uu.se.

On Probing Signal Design for MIMO Radar

Abstract: A multiple-input multiple-output (MIMO) radar system, unlike a standard phased-array radar, can choose freely the probing signals transmitted via its antennas to maximize the power around the locations of the targets of interest, or more generally to approximate a given transmit beampattern, and also to minimize the cross-correlation of the signals reflected back to the radar by the targets of interest. In this paper, we show how the above desirable features can be achieved by designing the covariance matrix of the probing signal vector transmitted by the radar. Moreover, in a numerical study, we show that the proper choice of the probing signals can significantly improve the performance of adaptive MIMO radar techniques. Additionally, we demonstrate the advantages of several MIMO transmit beampattern designs, including a beampattern matching design and a minimum sidelobe beampattern design, over their phased-array counterparts.

Frequency of malnutrition in older adults:a multinational perspective using the Mini Nutritional Assessment

Abstract: OBJECTIVES: To provide pooled data on the prevalence of malnutrition in elderly people as evaluated using the Mini Nutritional Assessment (MNA). DESIGN: Retrospective pooled analysis of previously published datasets. SETTING: Hospital, rehabilitation, nursing home, community. PARTICIPANTS: Four thousand five hundred seven people (75.2% female) with a mean age of 82.3. MEASUREMENTS: The prevalence of malnutrition in the combined database and in the four settings was examined. RESULTS: Twenty-four data sets with information on full MNA classification from researchers from 12 countries were submitted. In the combined database, the prevalence of malnutrition was 22.8%, with considerable differences between the settings (rehabilitation, 50.5%; hospital, 38.7%; nursing home, 13.8%; community, 5.8%). In the combined database, the "at risk" group had a prevalence of 46.2%. Consequently, approximately two-thirds of study participants were at nutritional risk or malnourished. CONCLUSION: The MNA has gained worldwide acceptance and shows a high prevalence of malnutrition in different settings, except for the community. Because of its specific geriatric focus, the MNA should be recommended as the basis for nutritional evaluation in older people.

The evolution of sex-biased genes and sex-biased gene expression.

Abstract: Differences between males and females in the optimal phenotype that is favoured by selection can be resolved by the evolution of differential gene expression in the two sexes. Microarray experiments have shown that such sex-biased gene expression is widespread across organisms and genomes. Sex-biased genes show unusually rapid sequence evolution, are often labile in their pattern of expression, and are non-randomly distributed in the genome. Here we discuss the characteristics and expression of sex-biased genes, and the selective forces that shape this previously unappreciated source of phenotypic diversity. Sex-biased gene expression has implications beyond just evolutionary biology, including for medical genetics.

Common variants associated with plasma triglycerides and risk for coronary artery disease

Abstract: Triglycerides are transported in plasma by specific triglyceride-rich lipoproteins; in epidemiological studies, increased triglyceride levels correlate with higher risk for coronary artery disease (CAD). However, it is unclear whether this association reflects causal processes. We used 185 common variants recently mapped for plasma lipids (P < 5 × 10(-8) for each) to examine the role of triglycerides in risk for CAD. First, we highlight loci associated with both low-density lipoprotein cholesterol (LDL-C) and triglyceride levels, and we show that the direction and magnitude of the associations with both traits are factors in determining CAD risk. Second, we consider loci with only a strong association with triglycerides and show that these loci are also associated with CAD. Finally, in a model accounting for effects on LDL-C and/or high-density lipoprotein cholesterol (HDL-C) levels, the strength of a polymorphism's effect on triglyceride levels is correlated with the magnitude of its effect on CAD risk. These results suggest that triglyceride-rich lipoproteins causally influence risk for CAD.