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The galectins are known to be able to recognize and cross-link beta-D-galactopyranoside-containing glycoconjugates as a result of presenting multiple binding sites. This review summarizes efforts in our group for the last ten years towards low-molecular weight chemically modified carbohydrate derivatives. In addition to providing an avenue for improved affinity and galectin-selectivity, we have fo
Time-resolved medical data has important applications in a large variety of medical applications. In this paper we study automatic analysis of dynamical renal scintigraphies. The traditional analysis pipeline for dynamical renal scintigraphies is to use manual or semiautomatic methods for segmentation of pixels into physical compartments, extract their corresponding time-activity curves and then c
Abstract in UndeterminedReference attribute grammars (RAGs) provide a practical declarative means to implement programming language compilers and other tools. RAGs have previously been extended to support both circular attributes and context-dependent declarative rewrites of the abstract syntax tree. In this previous work, dependencies between circular attributes and rewrites are not considered. I
Automated object detection is perhaps the most central task of computer vision and arguably the most difficult one. This paper extends previous work on part-based models by using accurate geometric models both in the learning phase and at detection. In the learning phase manual annotations are used to reduce perspective distortion before learning the part-based models. That training is performed o
JastAddJ is an extensible Java compiler, implemented using reference attribute grammars. It has been shown previously how the language constructs of Java 5, like generics, could be modularly added to the original JastAddJ compiler that supported Java 1.4. In this paper we discuss our experiences from extending Jast- AddJ to support Java 7. In particular, we discuss how the Try-With-Resources state
In this paper, we study the geometry problems of estimating camera pose with unknown focal length using combination of geometric primitives. We consider points, lines and also rich features such as quivers, i.e. points with one or more directions. We formulate the problems as polynomial systems where the constraints for different primitives are handled in a unified way. We develop efficient polyno
This paper presents a study of the sensor network calibration time-difference-of-arrival (TDOA) measurements. Such calibration arise in several applications such as calibration of (acoustic or ultrasound) microphone arrays, bluetooth arrays, and radio antenna networks. We propose a non-iterative algorithm that apply a three-step stratification process, (i) using a set of rank constraints to determ
In editors for visual languages it is often useful to provide interactive feedback that depends on the static semantics of the edited program. In this paper we demonstrate how such feedback can be implemented using reference attribute grammars. Because the implementation is declarative, it is easy to modularize compiler and editor computations, reusing the compiler's program model in the editor. F
Post-Materialism is a theory introduced in the 1970's. Post-Materialism is set of values that is stated to have changed, foremost in industrial countries. This shift in values is predicted to lead to changes in attitudes, actions and the social structure, because those who prioritize Post-Materialist values are suggested to think and identify themselves differently. In this thesis, changes in
With increasing age, human skeletal muscles gradually decrease in volume, mainly due to a reduced number of motor units and muscle fibers, and a reduced size of type 2 fibers. As a result, progressive weakening and impaired mobility occur. High-resistance strength training is beneficial, even in the very old, and could possibly reverse some of the detrimental effects of age-related weakness. The i
Motivation: Dynamical models describing intracellular phenomena are increasing in size and complexity as more information is obtained from experiments. These models are often over-parameterized with respect to the quantitative data used for parameter estimation, resulting in uncertainty in the individual parameter estimates as well as in the predictions made from the model. Here we combine Bayesia
We present a method for complex frequency estimation in several variables, extending the classical one-dimensional ESPRIT algorithm, and consider how to work with data sampled on nonstandard domains, i.e., going beyond multirectangles.
What is the computational complexity of geometric model estimation in the presence of noise and outliers? We show that the number of outliers can be minimized in polynomial time with respect to the number of measurements, although exponential in the model dimension. Moreover, for a large class of problems, we prove that the statistically more desirable truncated L2-norm can be optimized with the s
The present study is concerned with the impact of psychological factors, particularly character traits and attitudes, on the traffic accident patterns of young drivers. 101 drivers completed a questionnaire consisting of 206 questions and statements. Factor analysis was used to identify and eliminate non-significant test items, leaving 70 statements defining 14 distinct traits. Age and sex were sh
