Angular and Current-Target Correlations in Deep Inelastic Scattering at HERA

Correlations between charged particles in deep inelastic ep scattering have been studied in the Breit frame with the ZEUS detector at HERA using an integrated luminosity of 6.4 pb-1. Short-range correlations are analysed in terms of the angular separation between current-region particles within a cone centred around the virtual photon axis. Long-range correlations between the current and target regions have also been measured. The data support predictions for the scaling behaviour of the angular correlations at high Q2 and for anti-correlations between the current and target regions over a large range in Q2 and in the Bjorken scaling variable x. Analytic QCD calculations and Monte Carlo models correctly describe the trends of the data at high Q2, but show quantitative discrepancies. The data show differences between the correlations in deep inelastic scattering and e+e- annihilation.Comment: 26 pages including 10 figures (submitted to Eur. J. Phys. C

The Plant Pathogen Pseudomonas syringae pv. tomato Is Genetically Monomorphic and under Strong Selection to Evade Tomato Immunity

Recently, genome sequencing of many isolates of genetically monomorphic bacterial human pathogens has given new insights into pathogen microevolution and phylogeography. Here, we report a genome-based micro-evolutionary study of a bacterial plant pathogen, Pseudomonas syringae pv. tomato. Only 267 mutations were identified between five sequenced isolates in 3,543,009 nt of analyzed genome sequence, which suggests a recent evolutionary origin of this pathogen. Further analysis with genome-derived markers of 89 world-wide isolates showed that several genotypes exist in North America and in Europe indicating frequent pathogen movement between these world regions. Genome-derived markers and molecular analyses of key pathogen loci important for virulence and motility both suggest ongoing adaptation to the tomato host. A mutational hotspot was found in the type III-secreted effector gene hopM1. These mutations abolish the cell death triggering activity of the full-length protein indicating strong selection for loss of function of this effector, which was previously considered a virulence factor. Two non-synonymous mutations in the flagellin-encoding gene fliC allowed identifying a new microbe associated molecular pattern (MAMP) in a region distinct from the known MAMP flg22. Interestingly, the ancestral allele of this MAMP induces a stronger tomato immune response than the derived alleles. The ancestral allele has largely disappeared from today's Pto populations suggesting that flagellin-triggered immunity limits pathogen fitness even in highly virulent pathogens. An additional non-synonymous mutation was identified in flg22 in South American isolates. Therefore, MAMPs are more variable than expected differing even between otherwise almost identical isolates of the same pathogen strain

Angular and Current-target Correlations in Deep Inelastic Scattering at HERA

Correlations between charged particles in deep inelastic e+ p scattering have been studied in the Breit frame with the ZEUS detector at HERA using an integrated luminosity of 6.4pb-1. Short-range correlations are analysed in terms of the angular separation between current-region particles within a cone centred around the virtual photon axis. Long-range correlations between the current and target regions have also been measured. The data support predictions for the scaling behaviour of the angular correlations at high Q2 and for anti-correlations between the current and target regions over a large range in Q2 and in the Bjorken scaling variable x. Analytic QCD calculations and Monte Carlo models correctly describe the trends of the data at high Q2, but show quantitative discrepancies. The data show differences between the correlations in deep inelastic scattering and e+e- annihilation

Seasonal variation in onset of pulmonary embolism is independent of patients' underlying risk comorbid conditions.

As for many cardiovascular events, pulmonary embolism (PE) is not randomly distributed over time, but shows rhythmic patterns. The purpose of this study was to investigate whether such temporal pattern of occurrence varied in subgroups of patients according to different risk comorbid conditions. All cases of PE observed at the Hospital of Ferrara, Italy, from 1998 to 2001, were considered. After determination of the day of onset, the population was grouped by gender and the most common underlying risk comorbid conditions, e.g., deep vein thrombosis (DVT), neoplasms, cardiomyopathies, traumas/surgical operations, diabetes mellitus, pulmonary diseases, hypertension, cerebrovascular diseases, heart failure, hematologic diseases. For statistical analysis, chi-square test for goodness of fit and partial Fourier series were used. A total of 784 cases (mean age 71 +/- 14 years) were included. Frequency of onset was higher in winter for total population (p = 0.002), men (p = 0.004), DVT (p = 0.001), pulmonary disease (p = 0.008), cardiomyopathies (p = 0.011), and major traumas/surgical operations (p = 0.049). Chronobiologic analysis identified a winter peak for total population (p = 0.008), men (p < 0.001), DVT (p = 0.006), pulmonary diseases (p = 0.017), and hypertension (p = 0.026). This study confirms the winter peak of PE and provides evidence that it is not influenced by the underlying clinical conditions, but probably by endogenous variations