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A theory of topological constraints in polymer networks

Summary This paper presents an investigation of the dependence of harmonic-like topological constraints in entangled and moderately crosslinked polymer networks on segment and crosslink density and on the deformation of the sample. The approach is an extension of a theory developed for the highly crosslinked case and for polymer melts. The results are used to discuss the influence of topological constraints on the mechanical properties of different types of rubberelastic networks.     

SEMPA – Ein Ansatz des Semantischen Prozessmanagements zur Planung von Prozessmodellen

Currently process modeling is mostly done manually. Therefore, the initial design of process models as well as changes to process models which are frequently necessary to react to new market developments or new regulations are time-consuming tasks. In this paper we introduce SEMPA, an approach for the partly automatic planning of process models. Using ontologies to semantically describe actions – as envisioned in Semantic Business Process Management –, a process model for a specified problem setting can be created automatically. In comparison to existing planning algorithms our approach creates process models including control structures and is able to cope with complex and numerical input and output parameters of actions. The prototypical implementation as well as an example taken from the financial services domain illustrate the practical benefit of our approach.     

Spatially Varying Mixtures Incorporating Line Processes for Image Segmentation

Spatially varying mixture models are characterized by the dependence of their mixing proportions on location (contextual mixing proportions) and they have been widely used in image segmentation. In this work, Gauss-Markov random field (MRF) priors are employed along with spatially varying mixture models to ensure the preservation of region boundaries in image segmentation. To preserve region boundaries, two distinct models for a line process involved in the MRF prior are proposed. The first model considers edge preservation by imposing a Bernoulli prior on the normally distributed local differences of the contextual mixing proportions. It is a discrete line process model whose parameters are computed by variational inference. The second model imposes Gamma prior on the Student’s-t distributed local differences of the contextual mixing proportions. It is a continuous line process whose parameters are also automatically estimated by the Expectation-Maximization (EM) algorithm. The proposed models are numerically evaluated and two important issues in image segmentation by mixture models are also investigated and discussed: the constraints to be imposed on the contextual mixing proportions to be probability vectors and the MRF optimization strategy in the frameworks of the standard and variational EM algorithm.     

Nonmonotonic reasoning with multiple belief sets

In complex reasoning tasks it is often the case that there is no single, correct set of conclusions given some initial information. Instead, there may be several such conclusion sets, which we will call belief sets. In the present paper we introduce nonmonotonic belief set operators and selection operators to formalize and to analyze structural aspects of reasoning with multiple belief sets. We define and investigate formal properties of belief set operators as absorption, congruence, supradeductivity and weak belief monotony. Furthermore, it is shown that for each belief set operator satisfying strong belief cumulativity there exists a largest monotonic logic underlying it, thus generalizing a result for nonmonotonic inference operations. Finally, we study abstract properties of selection operators connected to belief set operators, which are used to choose some of the possible belief sets. This revised version was published online in June 2006 with corrections to the Cover Date.     

OLN-93: a new permanent oligodendroglia cell line derived from primary rat brain glial cultures

We have established a new permanent cell line (OLN-93), derived from spontaneously transformed cells in primary rat brain glial cultures. In growth medium supplemented with 10% fetal calf serum a doubling time of 16-18 hr was determined. OLN-93 cells in their antigenic properties resemble primary oligodendrocytes in culture. As analyzed by indirect immunofluorescence, the A2B5 surface marker is absent, they express galactocerebroside and myelin-specific proteins, such as myelin basic protein (MBP), myelin-associated glycoprotein (MAG), proteolipidprotein (PLP), and Wolfgram protein (WP), but do not exhibit astrocytic properties, such as the expression of vimentin or the glial fibrillary acidic protein (GFAP). In their morphological features they resemble bipolar O-2A-progenitor cells and, when grown at low density or on poly-L-lysine-coated culture dishes under low serum conditions, immature oligodendrocytes with a more arborized cell morphology. The cellular processes contain microfilaments, while N-CAM/D2 immunoreactivity is localized on the cell surface of the somata and processes. Immunoblot analysis further confirmed the presence of MAG, WP and MBP immunoreactivity, and the absence of vimentin and GFAP. Only a single MBP isoform (approximately 14 kDa) was detectable in the cellular extracts. PLP mRNA expression was studied by RT-PCR. The two proteolipid-specific mRNAs, DM20 and PLP, were present in OLN-93 cell extracts. Comparisons with embryonic rat cerebral cells in culture and primary oligodendrocytes suggest that OLN-93 cells in their morphological features and their antigenic properties resemble 5- to 10-day-old (postnatal time) cultured rat brain oligodendrocytes. Thus, the new cell line described in this study should provide a useful model system to investigate the specific mechanisms regulating the proliferation and differentiation of oligodendrocytes in vitro, and the molecular interactions with other cells of the nervous system.