The Initiation of strain localisation in plagioclase-rich rocks : insights from detailed microstructural analyses

In order to shed light on the cause for onset of strain localisation in plagioclase-rich rocks we have performed detailed microstructural analyses on a sheared anorthosite-leucogabbro using optical microscopy, electron backscatter diffraction (EBSD) and chemical analyses. The analysed sample is from an Archaean unit, SW Greenland, deformed at lower to mid crustal conditions (T = 675-700 °C and moderate pressure). The initial deformation occurred dominantly by dislocation creep and the grain size was reduced primarily by subgrain rotation recrystallisation. Recrystallised plagioclase grains (average size 80 μm) are dominantly found in (i) clusters, (ii) lenses and (iii) continuous bands subparallel to shear zone boundaries. Recrystallised grains in clusters and lenses display inherited crystallographic orientations. Their bulk crystallographic preferred orientation (CPO) is random; however, crystallographic characteristics show that parent and daughter grains have the same misorientation axes and possibly the same active slip systems. Recrystallised grains in continuous bands show a CPO with a single dominant active slip system, (001), aligned with the structural (XYZ) framework. For these parent and daughter grains, misorientation axes are random and the dominant slip system is different. Grain rotations of recrystallised grains are traceable back to the orientation of the adjacent porphyroclast. We infer that the cause for strain localisation is recrystallisation and development of a CPO in continuous recrystallised bands.13 page(s

Questionnaire-based variability modeling for system configuration

Variability management is a recurrent issue in systems engineering. It arises for example in enterprise systems, where modules are configured and composed to meet the requirements of individual customers based on modifications to a reference model. It also manifests itself in the context of software product families, where variants of a system are built from a common code base. This paper proposes an approach to capture system variability based on questionnaire models that include order dependencies and domain constraints. The paper presents analysis techniques to detect circular dependencies and contradictory constraints in questionnaire models, as well as techniques to incrementally prevent invalid configurations by restricting the space of allowed answers to a question based on previous answers. The approach has been implemented as a toolset and has been used in practice to capture configurable process models for film post-production

Naturschutzforschung am Auerhuhn in der Schweiz: eine Übersicht

The Western Capercaille Tetrao urogallus is a large forest grouse with narrow habitat preferences and large home ranges. As Capercaille populations are declining in most of their central European range and the species has been shown to be an umbrella for high species richness, a profound knowledge of the species' ecology is essential for the conservation of the charismatic bird

On the notion of variability in software product lines

In this paper we discuss the notion of variability. We have experienced that this concept has so far been under-defined. Although, we have observed that variability techniques become increasingly important. A clear indication of this trend is the recent emergence of software product lines. Software product lines are large, industrial software systems intended to specialize into specific software products. Our contribution in this paper is that ive provide the reader with a framework of terminology and concepts regarding variability . In addition, we present three recurring patterns of variability. Finally, we suggest a method for managing variability in software product lines

Decomposition Driven Consolidation of Process Models

Abstract. Oftentimes business processes exist not as singular entities that can be managed in isolation, but as families of variants that need to be managed together. When it comes to modelling these variants, analysts are faced with the dilemma of whether to model each variant separately or to model multiple or all variants as a single model. The former option leads to a proliferation of models that share common parts, leading to redundancy and possible inconsistency. The latter approach leads to less but more complex models, thus hindering on their comprehensibility. This paper presents a decomposition driven method to capture a family of process variants in a consolidated manner taking into account the above trade-off. We applied our method on a case study in the banking sector. A reduction of 50 % of duplication was achieved in this case study