3,689,304 research outputs found

    Reconclining phi radiative decays with other data for a0(980), fo(980), pi-pi -> KK and pi-pi -> eta-eta

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    Data for phi -> gamma (eta-pizero) are analysed using the KK loop model and compared with parameters of a0(980) derived from Crystal Barrel data. The eta-pi mass spectrum agrees closely and the absolute normalisation lies just within errors. However, BES parameters for fo(980) predict a normalisation for phi -> gamma (pizero-pizero) at least a factor 2 lower than is observed. This discrepancy may be eliminated by including constructive interference between fo(980) and sigma. The magnitude required for sigma -> KK is consistent with data on pi-pi -> KK. A dispersion relation analysis by Buttiker, Descotes-Genon and Moussallam of pi-pi -> KK leads to a similar conclusion. Data on pi-pi -> eta-eta also require decays of sigma to eta-eta. Four sets of pi-pi -> KK data all require a small but definite fo(1370) signal.Comment: 21 pages, 11 figures, Small rearrangement of reference

    Inclusive omega photoproduction off nuclei

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    We investigate inclusive omega photoproduction off complex nuclei, concentrating on the feasibility to examine a possible in-medium change of the omega meson properties by observing the pi^0 gamma invariant mass spectrum. The simulations are performed by means of a BUU transport model including a full coupled-channel treatment of the final state interactions. In-medium changes of the omega spectral density are found to yield a moderate modification of the observables as compared to the situation in free space. Also the effects of a momentum dependence of the strong omega potential are discussed.Comment: 19 pages, 12 figures, minor corrections, accepted for publication in EPJ

    Analysis of the Lambda p Final State Interaction in the Reaction p+p->K^+(Lambda p)

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    The missing mass spectrum measured in high resolution studies of the reaction pp -> K^+X is analyzed with respect to the strong final state interaction near the Lambda p production threshold. The observed spectrum can be described by factorizing the reaction amplitude in terms of a production amplitude and a final state scattering amplitude. Parametrizing the Lambda p final state interaction in terms of the inverse Jost function allows a direct extraction of the low-energy phase-equivalent potential parameters. Constraints on the singlet and triplet scattering lengths and effective ranges are deduced in a simultaneous fit of the Lambda p invariant mass spectrum and the total cross section data of the free Lambda p scattering using the effective range approximation.Comment: 9 pages,6 figures, 2 table

    Investigating antecedents and consequences of corporate communication management

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    This paper analyses the influences of managerial communication, marketing communication and organizational communication on corporate communication. In addition, this paper shows how corporate communication management influences organizational performance. This research also investigates the role of corporate leadership in moderating the relationship between corporate communication and organizational performance. Three categories of antecedents, namely, management communication, marketing communication and organizational communication are gathered from the literature. Direct consequences and indirect consequences through relevant mediators are identified. Future research directions are also offered. The compendium of antecedents and consequences of Corporate Communication Management (CCM) can be used by corporate communication practitioners for their segmentation and target stakeholders

    THE THESIS ADVISORS EXPECTATION OF THE STUDENTS IN WRITING THESIS

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    Expectation is the act state of expecting or looking forward to an event as about to happen. The thesis advisors expectation sometimes match with the students expectation and sometimes does not. So, the writer formulates a statement of problem that is: What is the thesis advisor expectation of the students in writing thesis? The purpose of this study is to investigate the thesis advisors expectation of the students in writing thesis. This study also uses the descriptive qualitative research. The population of this study is the teacher of English Department full-time in academic years 2001/2002 in Muhammadiyah University of Malang. This research uses non-probability sampling, exactly, purposive sampling because the writer only chooses 14 full-time thesis advisors as a sample. In this case, the writer uses a structured interview to collecting the data because before interviewing, the writer construct some questions to the respondents. The result of this study are the majority of the thesis advisors expect their students have capability in research’s topic and research methodology obey the thesis guidance schedule (100%), high motivation (81,8%), be more independent (63,6%), grammatically correct (36,3%), discuss with friend (27,3%), obey the thesis advisor (18,2%), and 9,09% the thesis advisors expectation are the students should write a good thesis, be more patient, read a lot of books, be consistent with the thesis purposes. However, not all thesis advisors can achieve their expectations. It is caused by several factors and the majority of the thesis advsiors would like to find out the cause of problem and ask the students to do a concrete action. The thesis advisor expectation should be compatible with the student level of ability. To much ideal expectation that is not line with the students capability will make them frustrated

    The Future of the European Integration Process: Ideas and Concepts of Candidate Countries. ZEI Discussion Paper: 2002, C 107

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    [Table of Contents]: The Case of Croatia, by Boris Hajoš; The Case of Bulgaria, by Vladimir Kissiov; The Case of Lithuania, by Rytis Martikonis; The Case of Slovakia, by Imrich Marton; The Case of Latvia, by Iveta Sulca

    Structure and Dynamics of Poly(methyl-methacrylate)/Graphene systems through Atomistic Molecular Dynamics Simulations

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    The main goal of the present work is to examine the effect of graphene layers on the sructural and dynamical properties of polymer systems. We study hybrid poly(methyl methacrylate) (PMMA)/graphene interfacial systems, through detailed atomistic molecular dynamics (MD) simulations. In order to characterize the interface, various properties related to density, structure and dynamics of polymer chains are calculated, as a function of the distance from the substrate. A series of different hybrid systems, with width ranging between [2.60 – 13.35] nm, are being modeled. In addition, we compare the properties of the macromolecular chains to the properties of the orresponding bulk system at the same temperature. We observe a strong effect of graphene layers on both structure and dynamics of the PMMA chains. Furthermore the PMMA/graphene interface is characterized by different length scales, depending on the actual property we probe: Density of PMMA polymer chains is larger than the bulk value, for polymer chains close to graphene layers up to distances of about [1.0-1.5]nm. Chain conformations are perturbed for distances up to about 2-3 radius of gyration from graphene. Segmental dynamics of PMMA is much slower close to the solid layers up to about [2-3]nm. Finally terminal-chain dynamics is slower, compared to the bulk one, up to distances of about 5-7 radius of gyration

    Questionnaire on organic fruit and berry production in Europe

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    On the EUFRIN meeting in Girona, Spain, November 1998 it was decided that one of the specific tasks for the meeting in Laimburg should be preparing a questionnaire for organic fruit production in Europe. In August 1999 we send out a questionnaire for all the EUFRIN participants. All 14 members have answered the questions

    An Intuitive Graphical Query Interface for Protégé Knowledge Bases

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    Emily is a graphical query engine for Protégé knowledge bases that was developed by the Structural Informatics Group (SIG) at the University of Washington. Currently this application is adapted for a specific knowledge model, the Foundational Model of Anatomy (FMA) [1], but it could readily be generalized for use with other Protégé knowledge bases. In developing the Emily query interface, our intent was to provide a tool that was simple and intuitive to use, like the Queries tab provided with Protégé, but with improved information retrieval capabilities. Although some more advanced query mechanisms exist, currently they are too complicated for non-expert end users. The Algernon tab [2], for example, provides extensive Protégé query capabilities but requires users to learn a query scripting language. We sought to develop a query interface that was intuitive enough for end users to operate, with only minor instruction, yet was powerful enough to gather interesting information from a knowledge base that was not easily attained by browsing alone

    Evaluation of the EVA Descriptor for QSAR Studies: 3. The use of a Genetic Algorithm to Search for Models with Enhanced Predictive Properties (EVA_GA)

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    The EVA structural descriptor, based upon calculated fundamental molecular vibrational frequencies, has proved to be an effective descriptor for both QSAR and database similarity calculations. The descriptor is sensitive to 3D structure but has an advantage over field-based 3D-QSAR methods inasmuch as structural superposition is not required. The original technique involves a standardisation method wherein uniform Gaussians of fixed standard deviation (σ) are used to smear out frequencies projected onto a linear scale. This smearing function permits the overlap of proximal frequencies and thence the extraction of a fixed dimensional descriptor regardless of the number and precise values of the frequencies. It is proposed here that there exist optimal localised values of σ in different spectral regions; that is, the overlap of frequencies using uniform Gaussians may, at certain points in the spectrum, either be insufficient to pick up relationships where they exist or mix up information to such an extent that significant correlations are obscured by noise. A genetic algorithm is used to search for optimal localised σ values using crossvalidated PLS regression scores as the fitness score to be optimised. The resultant models are then validated against a previously unseen test set of compounds. The performance of EVA_GA is compared to that of EVA and analogous CoMFA studies
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