Filetype
Background: Neuroblastoma are pediatric tumors of the sympathetic nervous system with a poor prognosis. Apoptosis is often deregulated in cancer cells, but only a few defects in apoptotic routes have been identified in neuroblastoma. Methods: Here we investigated genomic aberrations affecting genes of the intrinsic apoptotic pathway in neuroblastoma. We analyzed DNA profiling data (CGH and SNP arr
We propose new feature-based methods for rigid and affine image registration. These are compared to state-of-the-art intensity-based techniques as well as existing feature-based methods. On challenging datasets of brain MR and whole-body CT images, a significant improvement in terms of speed, robustness to outlier structures and dependence on initialization is shown.
As a cost-effective option for Cloud consumers, spot service has been considered to be a significant supplement for building a full-fledged market economy for the Cloud ecosystem. However, unlike the static and straightforward way of trading on-demand and reserved Cloud services, the market-driven regulations of employing spot service could be too complicated for Cloud consumers to comprehensively
The paper argues that the final value of an object, i.e., its value for its own sake, need not be intrinsic. It need not supervene on the object’s internal properties. Extrinsic final value, which accrues to things (or persons) in virtue of their relational features, cannot be traced back to the intrinsic value of states that involve these things together with their relations. On the opposite, suc
At Lund University an automated video analysis system is being developed that can be applied for studying the behaviour of road users in complex traffic environments. It is stressed that system must be capable of handling all the categories of road users, i.e. vehicles, pedestrians and cyclists. Common problems like detection and tracking of moving objects, occlusion by foreground objects, ground-
We propose a simple, general and computationally efficient algorithm for maximum likelihood estima- tion (MLE) of parameters in diffusion and jump-diffusion processes. This is conducted within a Monte Carlo EM-algorithm, where the smoothing distribution is computed using resampling. The results are encouraging as we can approximate the MLE well for the models studied when using simulated data. We
A fundamental building block of any Grid infrastructures is the Grid information service and the information model. The information model describes the entities and relationships between entities within the infrastructure along with their semantics. The realization into a concrete data model defines the syntax by which these concepts can be exchanged. This data model enables consumers of informati
Given an input consisting of an n-vertex convex polygon with k hole vertices or an n-vertex planar straight line graph (PSLG) with k holes and/or reflex vertices inside the convex hull, the parameterized minimum number convex partition (MNCP) problem asks for a partition into a minimum number of convex pieces. We give a fixed-parameter tractable algorithm for this problem that runs in the followin
This paper presents a low complexity, yet power efficient technique to boost the flexibility of a pipelined ADC. It also presents an implementation proposal with simulated results for a reconfigurable pipelined ADC. The proposed ADC architecture is a combination of the conventional pipelined ADC and the cyclic ADC, giving it a very low level of complexity, a high level of component reuse and subst
I discuss how a difference in the correlation length longitudinally and transversely with respect to the jet axis in e+e- annihilation, arises naturally in a model for Bose-Einstein correlations based on the Lund string picture. This difference is, due to the longitudinal stretching of the field, more apparent in genuine three-particle correlations. They can therefore be used as a sensitive probe
We present CasADi, a free, open-source software tool for rapid, yet efficient solution of optimization problems in general and dynamic optimization problems in particular. To the developer of algorithms for numerical optimization and to the advanced user of such algorithms, it offers a level of abstraction which is notably lower, and hence more flexible, than that of algebraic modeling languages s
This publication is part of a project called Direct and Indirect Load Control in Buildings performed at the Division of Energy Economics and Planning, Department of Heat and Power Engineering, Lund University, Sweden. Peak load problems have attracted considerable attention in Sweden during last three winters, caused by a significant decrease in available reserve power, which is a consequence of p
The direct problem of time dependent electromagnetic scattering in the dispersive sphere is solved by a wave splitting technique. The electric field is expanded in a series involving vector spherical harmonics, leading to a system of wave equations for each term. These systems are reduced to scalar wave equations for each term, which are solved via reflection operators. Some preliminary numerical
