Ontology-based modelling of architectural styles

The conceptual modelling of software architectures is of central importance for the quality of a software system. A rich modelling language is required to integrate the different aspects of architecture modelling, such as architectural styles, structural and behavioural modelling, into a coherent framework. Architectural styles are often neglected in software architectures. We propose an ontological approach for architectural style modelling based on description logic as an abstract, meta-level modelling instrument. We introduce a framework for style definition and style combination. The application of the ontological framework in the form of an integration into existing architectural description notations is illustrated

Generic modelling of code clones

Code clones, i.e. instances of duplicated code, can be found in many software systems. They adversely affect the software systems ’ quality, in particular their maintainability and comprehensibility. Thus, this as-pect is particularly important to consider in software maintenance and re-engineering. Many different algorithms detecting code clones have been developed. For various reasons, it is difficult to compare the results of different algorithms. Most notable among these reasons is that there is no conceptual model allowing description of code clones determined by different algorithms. Much more, each algorithm uses its specific concept of code clones, which is rarely made explicit. To overcome these problems, we have developed a generic model for describing clones. The model is generic in that it is independent of the pro-gramming language examined and of the clone detection algorithm used. It is flexible enough to facilitate various granularities of artifacts employed for selection and comparison, including inexact clones. The model allows separation of concerns between clone detection, description and manage-ment, which reduces the effort for the implementation of tools supporting these activities. On the basis of the model, we have implemented a pro-totype tool supporting these activities, tightly integrated into the Eclipse environment.

Small-scale magnetic helicity losses from a mean-field dynamo

Using mean-field models with a dynamical quenching formalism we show that in finite domains magnetic helicity fluxes associated with small-scale magnetic fields are able to alleviate catastrophic quenching. We consider fluxes that result either from advection by a mean flow, the turbulent mixing down the gradient of mean small-scale magnetic helicity concentration, or the explicit removal which may be associated with the effects of coronal mass ejections in the Sun. In the absence of shear, all the small-scale magnetic helicity fluxes are found to be equally strong both for large-scale and small-scale fields. In the presence of shear there is also an additional magnetic helicity flux associated with the mean field, but this flux does not alleviate catastrophic quenching. Outside the dynamo-active region there are neither sources nor sinks of magnetic helicity, so in a steady state this flux must be constant. It is shown that unphysical behavior emerges if the small-scale magnetic helicity flux is forced to vanish within the computational domain.Comment: 9 pages, 10 figures, submitted to MNRA

Late-glacial and Holocene European pollen data

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Laziness or liberation? Labor market policies and workers' attitudes toward employment flexibility

This study examined the relationship between labor market policies and employees' willingness to make concessions in order to avoid unemployment. In contrast to previous work that analyzed the behavior of employers and the unemployed, we examined how labor market policies influence employees' flexibility. Multilevel modeling techniques were applied to a data set that was created by combining individual-level data from the International Social Survey Program (ISSP) with country-level information from the Organization for Cooperation and Economic Development. The main findings of our analyses were that dismissal protection and unemployment benefits do make a difference to employees' willingness to make concessions, and that the relationships between the willingness to make concessions and labor market policies are nonlinear. Substantively, these nonlinear relationships suggest that employees' willingness to be flexible is negatively associated with both "too much" and "too little" social protection

Adjustment to fibromyalgia: the role of domain-specific self-efficacy and acceptance

Research in long-term conditions traditionally focuses on negative aspects of coping. The objective of this study was to investigate the role of positive factors such as selfefficacy and acceptance in the context of adjustment to fibromyalgia. The study employed a cross-sectional design using online questionnaires measuring self-efficacy, acceptance, kinesiophobia, coping, catastrophising, pain intensity and fibromyalgia impact. A total of 117 participants with fibromyalgia were recruited from fibromyalgia support-groups, organisations, and online forums. After controlling for other cognitive and demographic variables, pain self-efficacy remained a significant predictor of pain intensity (p=.003); symptom self-efficacy remained the best predictor of psychological fibromyalgia impact (p=.001); and function self-efficacy remained the best predictor of functional (p<.001) and total fibromyalgia impact (p<.001). However, the contribution of acceptance upon pain intensity and fibromyalgia impact was not significant. These results highlight the impact of different self-efficacy domains on pain intensity, and functional, psychological and total adjustment to fibromyalgia

Fire hazard modulation by long-term dynamics in land cover and dominant forest type in eastern and central Europe

Wildfire occurrence is influenced by climate, vegetation and human activities. A key challenge for understanding the risk of fires is quantifying the mediating effect of vegetation on fire regimes. Here, we explore the relative importance of Holocene land cover, land use, dominant functional forest type, and climate dynamics on biomass burning in temperate and boreo-nemoral regions of central and eastern Europe over the past 12 kyr. We used an extensive data set of Holocene pollen and sedimentary charcoal records, in combination with climate simulations and statistical modelling. Biomass burning was highest during the early Holocene and lowest during the mid-Holocene in all three ecoregions (Atlantic, continental and boreo-nemoral) but was more spatially variable over the past 3–4 kyr. Although climate explained a significant variance in biomass burning during the early Holocene, tree cover was consistently the highest predictor of past biomass burning over the past 8 kyr. In temperate forests, biomass burning was high at ~ 45% tree cover and decreased to a minimum at between 60% and 70% tree cover. In needleleaf-dominated forests, biomass burning was highest at ~60 %–65%tree cover and steeply declined at > 65% tree cover. Biomass burning also increased when arable lands and grasslands reached ~15 %–20 %, although this relationship was variable depending on land use practice via ignition sources, fuel type and quantities. Higher tree cover reduced the amount of solar radiation reaching the forest floor and could provide moister, more wind-protected microclimates underneath canopies, thereby decreasing fuel flammability. Tree cover at which biomass burning increased appears to be driven by warmer and drier summer conditions during the early Holocene and by increasing human influence on land cover during the late Holocene. We suggest that longterm fire hazard may be effectively reduced through land cover management, given that land cover has controlled fire regimes under the dynamic climates of the Holocene

The European Modern Pollen Database (EMPD) project

Modern pollen samples provide an invaluable research tool for helping to interpret the quaternary fossil pollen record, allowing investigation of the relationship between pollen as the proxy and the environmental parameters such as vegetation, land-use, and climate that the pollen proxy represents. The European Modern Pollen Database (EMPD) is a new initiative within the European Pollen Database (EPD) to establish a publicly accessible repository of modern (surface sample) pollen data. This new database will complement the EPD, which at present holds only fossil sedimentary pollen data. The EMPD is freely available online to the scientific community and currently has information on almost 5,000 pollen samples from throughout the Euro-Siberian and Mediterranean regions, contributed by over 40 individuals and research groups. Here we describe how the EMPD was constructed, the various tables and their fields, problems and errors, quality controls, and continuing efforts to improve the available dat