Occupational and non-occupational risk factors in bladder cancer patients in an industrialized area located in former east-Germany

Purpose: Several occupational carcinogens are metabolized by polymorphic enzymes. The distribution of the polymorphic enzymes N-acetyltransferase 2 (NAT2; substrates: aromatic amines), glutathione S-transferase M1 (GSTM1; substrates: e.g., reactive metabolites of polycyclic aromatic hydrocarbons), and glutathione S-transferase T1 (GSTT1; substrates: small molecules with 1 - 2 carbon atoms) were investigated. Material and Methods: At the urological department in Lutherstadt Wittenberg, 136 patients with a histologically proven transitional cell cancer of the urinary bladder were investigated for all occupations performed for more than 6 months. Several occupational and non-occupational risk factors were asked. The genotypes of NAT2, GSTM1, and GSTT1 were determined from leucocyte DNA by PCR. Results: Compared to the general population in Middle Europe, the percentage of GSTT1 negative persons (22.1%) was ordinary; the percentage of slow acetylators (59.6%) was in the upper normal range, while the percentage of GSTM1 negative persons (58.8%) was elevated in the entire group. Shifts in the distribution of the genotypes were observed in subgroups who had been exposed to asbestos (6/6 GSTM1 negative, 5/6 slow acetylators), rubber manufacturing (8/10 GSTM1 negative), and chlorinated solvents (9/15 GSTM1 negative). Conclusions: The overrepresentation of GSTM1 negative bladder cancer patients also in this industrialized area and more pronounced in several occupationally exposed subgroups points to an impact of the GSTM1 negative genotype in bladder carcinogenesis.

Measuring crime prevention through environmental design

Crime Prevention Through Environmental Design (CPTED) has considerable support among the built environment professions. Yet the underlying assumptions on which it is based have rarely been, effectiveness or efficacy. This paper reports the development and use of a evaluated to assess their of scale that measured the actual levels of incidental CPTED in two residential areas in Gold Coast, Australia. The scale was administered in parallel with a victimization and social attitude survey. Analysis based on the combination of the two suggests that CPTED measures may have some effect on reducing victimization, particularly the kind of CPTED measures that apply to the group of dwellings on a single street, but the effect on fear of crime is surprisingly limited. It also indicates that there is on a single street, but the of potential in the application of such a scale in a wider assessment of the effectiveness of operationalizing CPTED design measures.

Identification of Sclerotinia species

A variety of morphological and molecular characters were compared for their ability to separate the three plant pathogenic species that comprise the genus Sclerotinia: Sclerotinia sclerotiorum, Sclerotinia minor and Sclerotinia trifoliorum. Restriction fragment length polymorphism ( RFLP) probes generated from cloned genomic DNA fragments of S. sclerotiorum were used for accurate species designation and to compare against other markers, before further use in population genetics and breeding studies. Other characters used for comparison included host species, sclerotial diameters, ascospore morphism and breeding type. Several RFLP probes, either singly or in combination, enabled clear separation of the Sclerotinia species. Sclerotial diameters remain a good criterion for separating S. minor from S. sclerotiorum and S. trifoliorum, but the host species criterion was inadequate for accurately differentiating the 3 species of Sclerotinia.

The programming language python in earth system simulations

-scale vary from a planetary scale and million years for convection problems to 100km and 10 years for fault systems simulations. Various techniques are in use to deal with the time dependency (e.g. Crank-Nicholson), with the non-linearity (e.g. Newton-Raphson) and weakly coupled equations (e.g. non-linear Gauss-Seidel). Besides these high-level solution algorithms discretization methods (e.g. finite element method (FEM), boundary element method (BEM)) are used to deal with spatial derivatives. Typically, large-scale, three dimensional meshes are required to resolve geometrical complexity (e.g. in the case of fault systems) or features in the solution (e.g. in mantel convection simulations). The modelling environment escript allows the rapid implementation of new physics as required for the development of simulation codes in earth sciences. Its main object is to provide a programming language, where the user can define new models and rapidly develop high-level solution algorithms. The current implementation is linked with the finite element package finley as a PDE solver. However, the design is open and other discretization technologies such as finite differences and boundary element methods could be included. escript is implemented as an extension of the interactive programming environment python (see www.python.org). Key concepts introduced are Data objects, which are holding values on nodes or elements of the finite element mesh, and linearPDE objects, which are defining linear partial differential equations to be solved by the underlying discretization technology. In this paper we will show the basic concepts of escript and will show how escript is used to implement a simulation code for interacting fault systems. We will show some results of large-scale, parallel simulations on an SGI Altix system. Acknowledgements: Project work is supported by Australian Commonwealth Government through the Australian Computational Earth Systems Simulator Major National Research Facility, Queensland State Government Smart State Research Facility Fund, The University of Queensland and SGI.