Efficient Symmetry Reduction and the Use of State Symmetries for Symbolic Model Checking

One technique to reduce the state-space explosion problem in temporal logic model checking is symmetry reduction. The combination of symmetry reduction and symbolic model checking by using BDDs suffered a long time from the prohibitively large BDD for the orbit relation. Dynamic symmetry reduction calculates representatives of equivalence classes of states dynamically and thus avoids the construction of the orbit relation. In this paper, we present a new efficient model checking algorithm based on dynamic symmetry reduction. Our experiments show that the algorithm is very fast and allows the verification of larger systems. We additionally implemented the use of state symmetries for symbolic symmetry reduction. To our knowledge we are the first who investigated state symmetries in combination with BDD based symbolic model checking

Improving BDD Based Symbolic Model Checking with Isomorphism Exploiting Transition Relations

Symbolic model checking by using BDDs has greatly improved the applicability of model checking. Nevertheless, BDD based symbolic model checking can still be very memory and time consuming. One main reason is the complex transition relation of systems. Sometimes, it is even not possible to generate the transition relation, due to its exhaustive memory requirements. To diminish this problem, the use of partitioned transition relations has been proposed. However, there are still systems which can not be verified at all. Furthermore, if the granularity of the partitions is too fine, the time required for verification may increase. In this paper we target the symbolic verification of asynchronous concurrent systems. For such systems we present an approach which uses similarities in the transition relation to get further memory reductions and runtime improvements. By applying our approach, even the verification of systems with an previously intractable transition relation becomes feasible.Comment: In Proceedings GandALF 2011, arXiv:1106.081

Women on boards of Malaysian firms: Impact on market and accounting performance

We seek to offer some reconciliation for the conflicting theoretical arguments and empirical findings regarding the impact of women’s participation in boards on firms’ performance.We suggest that this impact differs in relation to market- and accounting-performance, and it is firm-specific, and varies by firms’ ownership type and the composition of their boards.These arguments find theoretical underpinnings in agency and resource-dependency theories, combined with behavioral and discrimination theories that articulate women behavior in the workplace and market perception of gender equality.The empirical analysis is based on a dataset of 841 publicly-listed firms in Malaysia.The results show positive impact of women’s participation on accounting-performance and negative impact on market-performance, suggesting that women directors create economic value, which is undervalued by the market. We interpret the findings with reference to the perception of women’s role in society and business in Malaysia, and the nature of corporate governance and ownership types prevalent among Malaysian firms.We suggest that the relationships might be context-specific, and hence the desired level of women’s participation varies across countries.We discuss the normative implications of the findings for government authorities considering legislation of gender-quota on boards, and for firms

Industry agglomeration, sub-national institutions and the profitability of foreign subsidiaries

This study investigates the impact of agglomeration and its interaction with subnational institutions on the profitability of multinational enterprises (MNEs) subsidiaries operating in an emerging economy. We argue that in an emerging economy like China, competition in product and factor markets is more intense between foreign firms than between foreign and domestic firms owing to market segmentation. Consequently, agglomerating with other foreign firms has negative impact on the profitability of foreign subsidiaries. In contrast, foreign firms agglomerating with domestic firms may reap gains owing to less competition and improved access to local resources and knowledge. We find that these effects are more pronounced to domestic-market-oriented foreign firms. Furthermore, sub-national institutions moderate the above relationships. Our arguments are supported by the empirical analysis based on a comprehensive dataset of foreign firms operating in China over the period of 1999-2005

Fluorescently labeled microbubbles for facilitating translational molecular ultrasound studies

Abstract Microbubbles (MB) are routinely used as contrast agents for functional and molecular ultrasound (US) imaging. For molecular US imaging, MB are functionalized with antibodies or peptides, in order to visualize receptor expression by angiogenic or inflamed endothelium. In general, initial in vitro binding studies with targeted MB are performed using phase contrast microscopy. Difficulties in the identification of MB in standard phase contrast microscopy, however, generally result in high variability, high observer dependency, and low reproducibility. To overcome these shortcomings, we here describe a simple post-loading strategy for labeling polymer-based MB with fluorophores, and we show that the use of rhodamine-loaded MB in combination with fluorescence microscopy substantially reduces the variability and the observer dependency of in vitro binding studies. In addition, we demonstrate that rhodamine-loaded MB can also be used for in vivo and ex vivo experimental setups, e.g., for analyzing MB binding to inflamed carotids using two-photon laser scanning microscopy, and for validating the binding of VEGFR2-targeted MB to tumor endothelium. These findings demonstrate that fluorescently labeled MB substantially facilitate translational molecular US studies, and they suggest that a similar synthetic strategy can be exploited for preparing drug-loaded MB, to enable image-guided, targeted, and triggered drug delivery to tumors and to sites of inflammation