Decay properties of the heavy-light mesons

We study the decay properties of a heavy-light meson. We reformulate the decay amplitudes for the heavy-light systems and find a new way to calculate decay rates. Applying this formulation, we find a new sum rule for the radiative decays of one heavy-light meson into another, $H_1\to H_2+\gamma$ with various combinations of $H_i$.Comment: an invited talk at "New Frontiers in QCD 2010" held at Kyot

Probabilistic abstract interpretation: From trace semantics to DTMC’s and linear regression

In order to perform probabilistic program analysis we need to consider probabilistic languages or languages with a probabilistic semantics, as well as a corresponding framework for the analysis which is able to accommodate probabilistic properties and properties of probabilistic computations. To this purpose we investigate the relationship between three different types of probabilistic semantics for a core imperative language, namely Kozen’s Fixpoint Semantics, our Linear Operator Semantics and probabilistic versions of Maximal Trace Semantics. We also discuss the relationship between Probabilistic Abstract Interpretation (PAI) and statistical or linear regression analysis. While classical Abstract Interpretation, based on Galois connection, allows only for worst-case analyses, the use of the Moore-Penrose pseudo inverse in PAI opens the possibility of exploiting statistical and noisy observations in order to analyse and identify various system properties

EGFR CELL EXPRESSION IN BLADDER WASHINGS AS A RISK MARKER TOOL IN NON MUSCLE-INVASIVE BLADDER CANCER. PRELIMINARY EXPERIENCE

INTRODUCTION AND OBJECTIVES: Up to day, EGFR expression has been determined mainly in tissue specimens of muscleinvasive bladder cancer and its overexpression has been associated with worse prognosis and shorter survival. Urothelial EGFR status after NMIBC transurethral resection (TUR) could indicate the risk of recurrence and progression. We investigated the feasibility of EGFR measurement in bladder washings of patients undergoing intravesical adjuvant therapy for NMIBC and its usefulness in identifying risk subgroups. METHODS: Our prospective study included patients after TUR of NMIBC and healthy controls. A cellular pellet was obtained from bladder washing, and RNA extraction performed by miRNeasy Mini Kit (Qiagen). Good quality of RNA was checked. The cDNA obtained from RNA was used to perform a gene expression analysis by a Real Time PCR, according to the method of the comparative quantification (DDCt) with an endogenous control (Cyclophilin). Every reaction was set in triplicate as a guarantee of quality. Patients were grouped for EAU risk class and maintained in follow-up. The EGFR expressions were statistically analyzed according to EAU risk groups and to patients0 outcome. EGFR gene expression values were expressed in FOLDs of change compared to healthy controls (EGFR¼1). RESULTS: Fifty-eight patients and 21 healthy age-matched controls were entered. An adequate cellular pellet was obtained in 50 patients (86.2%) showing a median EGFR expression of 2.0 folds (IQR 0.6-4.3, p¼0.0004). After TUR and adjuvant intravesical therapy, 22 (55%) out of 40 high-risk patients, showed EGFR decrease to 1.3 folds (IQR 0.9-1.5), while 18 (45%) showed elevated EGFR, median 4.7 (IQR 4.1-11.6). At 25 months median follow-up (IQR 19.0-34.8), 20 (40%) patients recurred and 6 (12%) progressed. Among patients with or without EGFR gene increase, 9 (22.5%) and 5 (12.5%) recurred and 5 (12.5%) and 1 (2.5%) progressed, respectively. CONCLUSIONS: In our experience EGFR expression measurement was feasible in more than 85% of patients and resulted related to EAU risk classes for recurrence and progression, showing different behavior during intravesical therapy. It was possible to identify a subgroup of high risk patients overexpressing EGFR in spite of intravesical adjuvant therapy. EGFR evaluation in bladder washing could represent a repeatable and useful tool to identify a subgroup of patients at risk for progression unresponsive to intravesical adjuvant therapy and candidate to early radical cystectom

R-parity violation in SU(5)

We show that judiciously chosen R-parity violating terms in the minimal renormalizable supersymmetric SU(5) are able to correct all the phenomenologically wrong mass relations between down quarks and charged leptons. The model can accommodate neutrino masses as well. One of the most striking consequences is a large mixing between the electron and the Higgsino. We show that this can still be in accord with data in some regions of the parameter space and possibly falsified in future experiments.Comment: 30 pages, 1 figure. Revised version. To appear in JHE

Extremely red radio galaxies

At least half the radio galaxies at z>1 in the 7C Redshift Survey have extremely red colours (R-K>5), consistent with stellar populations which formed at high redshift (z>5). We discuss the implications of this for the evolution of massive galaxies in general and for the fraction of near-IR-selected EROs which host AGN, a result which is now being tested by deep, hard X-ray surveys. The conclusion is that many massive galaxies undergo at least two active phases: one at z~5 when the black hole and stellar bulge formed and another at z~1-2 when activity is triggered by an event such as an interaction or merger.Comment: 6 pages, 2 figures, to appear in the proceedings of the workshop on "QSO hosts and their environments", IAA, Granada, 10-12 Jan 2001, Ed. I. Marque

22Ne and 23Na ejecta from intermediate-mass stars: The impact of the new LUNA rate for 22Ne(p,gamma)23Na

We investigate the impact of the new LUNA rate for the nuclear reaction $^{22}$Ne$(p,\gamma)^{23}$Na on the chemical ejecta of intermediate-mass stars, with particular focus on the thermally-pulsing asymptotic giant branch (TP-AGB) stars that experience hot-bottom burning. To this aim we use the PARSEC and COLIBRI codes to compute the complete evolution, from the pre-main sequence up to the termination of the TP-AGB phase, of a set of stellar models with initial masses in the range $3.0\,M_{\odot} - 6.0\,M_{\odot}$, and metallicities $Z_{\rm i}=0.0005$, $Z_{\rm i}=0.006$, and $Z_{\rm i} = 0.014$. We find that the new LUNA measures have much reduced the nuclear uncertainties of the $^{22}$Ne and $^{23}$Na AGB ejecta, which drop from factors of $\simeq 10$ to only a factor of few for the lowest metallicity models. Relying on the most recent estimations for the destruction rate of $^{23}$Na, the uncertainties that still affect the $^{22}$Ne and $^{23}$Na AGB ejecta are mainly dominated by evolutionary aspects (efficiency of mass-loss, third dredge-up, convection). Finally, we discuss how the LUNA results impact on the hypothesis that invokes massive AGB stars as the main agents of the observed O-Na anti-correlation in Galactic globular clusters. We derive quantitative indications on the efficiencies of key physical processes (mass loss, third dredge-up, sodium destruction) in order to simultaneously reproduce both the Na-rich, O-poor extreme of the anti-correlation, and the observational constraints on the CNO abundance. Results for the corresponding chemical ejecta are made publicly available

BSim: an agent-based tool for modeling bacterial populations in systems and synthetic biology.

Open Access ArticleLarge-scale collective behaviors such as synchronization and coordination spontaneously arise in many bacterial populations. With systems biology attempting to understand these phenomena, and synthetic biology opening up the possibility of engineering them for our own benefit, there is growing interest in how bacterial populations are best modeled. Here we introduce BSim, a highly flexible agent-based computational tool for analyzing the relationships between single-cell dynamics and population level features. BSim includes reference implementations of many bacterial traits to enable the quick development of new models partially built from existing ones. Unlike existing modeling tools, BSim fully considers spatial aspects of a model allowing for the description of intricate micro-scale structures, enabling the modeling of bacterial behavior in more realistic three-dimensional, complex environments. The new opportunities that BSim opens are illustrated through several diverse examples covering: spatial multicellular computing, modeling complex environments, population dynamics of the lac operon, and the synchronization of genetic oscillators. BSim is open source software that is freely available from http://bsim-bccs.sf.net and distributed under the Open Source Initiative (OSI) recognized MIT license. Developer documentation and a wide range of example simulations are also available from the website. BSim requires Java version 1.6 or higher.Engineering and Physical Sciences Research Council (EPSRC)Biotechnology and Biological Sciences Research Council (BBSRC

Flavoured soft leptogenesis and natural values of the B term

We revisit flavour effects in soft leptogenesis relaxing the assumption of universality for the soft supersymmetry breaking terms. We find that with respect to the case in which the heavy sneutrinos decay with equal rates and equal CP asymmetries for all lepton flavours, hierarchical flavour configurations can enhance the efficiency by more than two orders of magnitude. This translates in more than three order of magnitude with respect to the one-flavour approximation. We verify that lepton flavour equilibration effects related to off-diagonal soft slepton masses are ineffective for damping these large enhancements. We show that soft leptogenesis can be successful for unusual values of the relevant parameters, allowing for $B\sim {\cal O}({\rm TeV})$ and for values of the washout parameter up to $m_{\rm eff}/m_* \sim 5\times 10^{3}$.Comment: 23 pages, 5 figures postscript, Minor changes to match the published version in JHE

Murine model for Fusarium oxysporum invasive fusariosis reveals organ-specific structures for dissemination and long-term persistence

Peer reviewedPublisher PD