Тест-система для диагностики цитомегаловирусной инфекции с гибридизационно-флуоресцентной детекцией продуктов амплификации в режиме "реального времени"

ЦИТОМЕГАЛОВИРУСНЫЕ ИНФЕКЦИИ /ДИАГНТЕСТ-СИСТЕМЫДИАГНОСТИЧЕСКИЕ МЕТОДЫ И ПРОЦЕДУРЫ /ИСПHERPESVIRIDAE ИНФЕКЦИИ /ДИАГННУКЛЕИНОВОЙ КИСЛОТЫ АМПЛИФИКАЦИИ МЕТОДЫПОЛИМЕРАЗНАЯ ЦЕПНАЯ РЕАКЦИЯ /ИСПГЕНЕТИЧЕСКИЕ МЕТОДЫ /ИСПДНК-ВИРУСНЫЕ ИНФЕКЦИИ /ДИАГ

Study of the lineshape of the chi(c1) (3872) state

A study of the lineshape of the chi(c1) (3872) state is made using a data sample corresponding to an integrated luminosity of 3 fb(-1) collected in pp collisions at center-of-mass energies of 7 and 8 TeV with the LHCb detector. Candidate chi(c1)(3872) and psi(2S) mesons from b-hadron decays are selected in the J/psi pi(+)pi(-) decay mode. Describing the lineshape with a Breit-Wigner function, the mass splitting between the chi(c1 )(3872) and psi(2S) states, Delta m, and the width of the chi(c1 )(3872) state, Gamma(Bw), are determined to be (Delta m=185.598 +/- 0.067 +/- 0.068 Mev,)(Gamma BW=1.39 +/- 0.24 +/- 0.10 Mev,) where the first uncertainty is statistical and the second systematic. Using a Flatte-inspired model, the mode and full width at half maximum of the lineshape are determined to be (mode=3871.69+0.00+0.05 MeV.)(FWHM=0.22-0.04+0.13+0.07+0.11-0.06-0.13 MeV, ) An investigation of the analytic structure of the Flatte amplitude reveals a pole structure, which is compatible with a quasibound D-0(D) over bar*(0) state but a quasivirtual state is still allowed at the level of 2 standard deviations

Evaluating affective feedback of the 3D agent Max in a competitive cards game

Becker-Asano C, Prendinger H, Ishizuka M, Wachsmuth I. Evaluating affective feedback of the 3D agent Max in a competitive cards game. In: Tao J, Tan T, Picard RW, eds. Affective Computing and Intelligent Interaction. LNCS 3784. Berlin: Springer; 2005: 466-473.Within the field of Embodied Conversational Agents (ECAs), the simulation of emotions has been suggested as a means to enhance the believability of ECAs and also to effectively contribute to the goal of more intuitive human–computer interfaces. Although various emotion models have been proposed, results demonstrating the appropriateness of displaying particular emotions within ECA applications are scarce or even inconsistent. Worse, questionnaire methods often seem insufficient to evaluate the impact of emotions expressed by ECAs on users. Therefore we propose to analyze non-conscious physiological feedback (bio-signals) of users within a clearly arranged dynamic interaction scenario where various emotional reactions are likely to be evoked. In addition to its diagnostic purpose, physiological user information is also analyzed online to trigger empathic reactions of the ECA during game play, thus increasing the level of social engagement. To evaluate the appropriateness of different types of affective and empathic feedback, we implemented a cards game called Skip-Bo, where the user plays against an expressive 3D humanoid agent called Max, which was designed at the University of Bielefeld [6] and is based on the emotion simulation system of [2]. Work performed at the University of Tokyo and NII provided a real-time system for empathic (agent) feedback that allows one to derive user emotions from skin conductance and electromyography [13]. The findings of our study indicate that within a competitive gaming scenario, the absence of negative agent emotions is conceived as stress-inducing and irritating, and that the integration of empathic feedback supports the acceptance of Max as a co-equal humanoid opponent