Can the ψ(4040)\psi(4040) explain the peak associated with Y(4008)Y(4008)?

We study the well-known resonance $\psi(4040)$, corresponding to a $3^{3}S_{1}$ charm-anticharm vector state $\psi(3S)$, within a QFT approach, in which the decay channels into $DD$, $D^{\ast}D$, $D^{\ast}D^{\ast}$, $D_{s}D_{s}$ and $D_{s}^{\ast}D_{s}$ are considered. The spectral function shows sizable deviations from a Breit-Wigner shape (an enhancement, mostly generated by $DD^{\ast}$ loops, occurs); moreover, besides the $c\bar{c}$ pole of $\psi(4040)$, a second dynamically generated broad pole at $4$ GeV emerges. Naively, it is tempting to identify this new pole with the unconfirmed state $Y(4008).$ Yet, this state was not seen in the reaction $e^{+}e^{-}\rightarrow\psi(4040)\rightarrow DD^{\ast}$, but in processes with $\pi^{+}\pi^{-}J/\psi$ in the final state. A detailed study shows a related but different mechanism: a broad peak at $4$ GeV in the process $e^{+}e^{-}\rightarrow\psi(4040)\rightarrow DD^{\ast }\rightarrow\pi^{+}\pi^{-}J/\psi$ appears when $DD^{\ast}$ loops are considered. Its existence in this reaction is not necessarily connected to the existence of a dynamically generated pole, but the underlying mechanism - the strong coupling of $c\bar{c}$ to \ $DD^{\ast}$ loops - can generate both of them. Thus, the controversial state $Y(4008)$ may not be a genuine resonance, but a peak generated by the $\psi(4040)$ and $D^{\ast}D$ loops with $\pi^{+}\pi^{-}J/\psi$ in the final state.Comment: 16 pages, 6 figures, 2 table

Baryon fluctuations in extended linear sigma model

The existence and the location of the critical end point (CEP) between the crossover and the first order part of the chiral phase transition in the phase diagram of the strongly interacting matter is a heavily studied area of recent particle physics. The baryon number fluctuations and related quantities such as kurtosis and other susceptibility ratios, that are assumed to be good signatures of CEP, are calculated in an (axial)vector meson extended (2+1) flavor Polyakov linear sigma model (ELσM) at zero and finite μB . It is compared with the results of lattice as well as other effective model calculations. Divergence of the kurtosis is found at the critical end point

Drug-therapy networks and the predictions of novel drug targets

Recently, a number of drug-therapy, disease, drug, and drug-target networks have been introduced. Here we suggest novel methods for network-based prediction of novel drug targets and for improvement of drug efficiency by analysing the effects of drugs on the robustness of cellular networks.Comment: This is an extended version of the Journal of Biology paper containing 2 Figures, 1 Table and 44 reference

Survival analysis of culling reasons and economic examination of production period in sow culling

The culling of the sows is an important task of the breeders and farmers, besides it is a determining factor of profitable pork production. During our research we have surveyed the data of 1969 sows in a Hungarian large-scale pig farm. For the calculation of our results we used one of the non-parametric forms of survival analysis, the Kaplan-Meier analysis. For the quantification of death intensity we applied another survival analysis model, the log-rate exponential model. We have found out the risk values of various culling reasons form the point of view of culling. Besides, we tried to quantify by an economic model how the production period of sows influences the average costs of piglets and the average costs of piglets per kilo at 2006 prices. We calculated that the 5th farrowing is the minimum cost place.Sow culling, Risk analysis, Sow productivity, Average costs of piglets, Livestock Production/Industries,