74 research outputs found

    Quasi exactly solvable operators and Lie superalgebras

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    Linear operators preserving the direct sum of polynomial rings P(m)\oplus P(n) are constructed. In the case |m-n|=1 they correspond to atypical representations of the superalgebra osp(2,2). For |m-n|=2 the generic, finite dimensional representations of the superalgebra q(2) are recovered. An example of a Hamiltonian possessing such a hidden algebra is analyzed.Comment: 8 Revtex pages, 1 PS-figures; Section IV extended, reference adde

    A Phenomenological Analysis of Gluon Mass Effects in Inclusive Radiative Decays of the J/ψ\rm{J/\psi} and $\Upsilon

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    The shapes of the inclusive photon spectra in the processes \Jp \to \gamma X and \Up \to \gamma X have been analysed using all available experimental data. Relativistic, higher order QCD and gluon mass corrections were taken into account in the fitted functions. Only on including the gluon mass corrections, were consistent and acceptable fits obtained. Values of 0.7210.068+0.0160.721^{+0.016}_{-0.068} GeV and 1.180.29+0.091.18^{+0.09}_{-0.29} GeV were found for the effective gluon masses (corresponding to Born level diagrams) for the \Jp and \Up respectively. The width ratios \Gamma(V \to {\rm hadrons})/\Gamma(V \to \gamma+ {\rm hadrons}) V=\Jp, \Up were used to determine αs(1.5GeV)\alpha_s(1.5 {\rm GeV}) and αs(4.9GeV)\alpha_s(4.9 {\rm GeV}). Values consistent with the current world average αs\alpha_s were obtained only when gluon mass correction factors, calculated using the fitted values of the effective gluon mass, were applied. A gluon mass 1\simeq 1 GeV, as suggested with these results, is consistent with previous analytical theoretical calculations and independent phenomenological estimates, as well as with a recent, more accurate, lattice calculation of the gluon propagator in the infra-red region.Comment: 50 pages, 11 figures, 15 table

    Introduction

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    The Coronavirus Network Explorer: Mining a large-scale knowledge graph for effects of SARS-CoV-2 on host cell function

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    Building on recent work that identified human host proteins that interact with SARS-CoV-2 viral proteins in the context of an affinity-purification mass spectrometry screen, we use a machine learning-based approach to connect the viral proteins to relevant biological functions and diseases in a large-scale knowledge graph derived from the biomedical literature. Our aim is to explore how SARS-CoV-2 could interfere with various host cell functions, and also to identify additional drug targets amongst the host genes that could potentially be modulated against COVID-19. Results are presented in the form of interactive network visualizations, that allow exploration of underlying experimental evidence. A selection of networks is discussed in the context of recent clinical observations.</jats:p

    Visualizing the Logic of a Clinical Guideline: A Case Study in Childhood Immunization

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    IMM/Graph is a visual model designed to help knowledge-base developers understand and refine the guideline logic for childhood immunization. The IMM/Graph model is domain-specific and was developed to help build a knowledge-based system that makes patient-specific immunization recommendations. A “visual vocabulary” models issues specific to the immunization domain, such as (1) the age a child is first eligible for each vaccination dose, (2) recommended, “past due” and maximum ages, (3) minimum waiting periods between doses, (4) the vaccine brand or preparation to be given, and (5) the various factors affecting the time course of vaccination. Several lessons learned in the course of developing IMM/Graph include the following: (1) The intended use of the model may influence the choice of visual presentation; (2) There is a potentially interesting interplay between the use of visual and textual information in creating the visual model; (3) Visualization may help a development team better understand a complex clinical guideline and may also help highlight areas of incompleteness.</jats:p

    Review of Water-Entry Theory and Data

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    On the economic analysis of response to preventive measures Reação diante de medidas preventivas em saúde: uma análise econômica

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    There are many circumstances in which the effectiveness of preventive measures depends to a large extent on the compliance of the patient in changing his or her behavior or lifestyle. It is shown how economic techniques can be used (i) to describe the rationale of individuals and predict their behavior (Section 2); and (ii) to assess preventive measures that, by requiring a change of conduct, imply "costs" to the individual due to a decline in the quality of life (Appendix). Cigarette smoking and coronary heart disease are used as an illustration. While the analysis of Section 2 uses graphical techniques, a simple textbook-type of lifetime utility model with a mathematical emphasis is used in the Appendix. It is also shown that techniques often used to assess health care programs such as the QALYs (Quality-Adjusted Life Years) are inappropriate to the evaluation of preventive programs aiming at behavioral changes. Finally, topics that call for further research are indicated.<br>A efetividade de muitas intervenções preventivas depende da capacidade do paciente em alterar seu comportamento ou estilo de vida. São intervenções nas quais o indivíduo exerce um papel ativo. Procurou-se mostrar como o instrumental econômico pode ser usado para: (i) prever comportamentos e descrever sua lógica; e (ii) avaliar medidas de prevenção que, por implicarem mudança de comportamento, geram "custos" em termos de queda na qualidade de vida (Apêndice). O caso do fumo e doença coronariana do coração é utilizado como ilustração. Enquanto a análise do primeiro item utiliza técnicas gráficas, a do segundo (Apêndice) utiliza-se de um modelo mais formal, porém simples (de livro-texto) para a representação de utilidade ao longo do ciclo de vida. Mostrou-se também que técnicas freqüentemente utilizadas na avaliação de programas de saúde como os "QALYs" ("Quality-Adjusted Life Years" ou Anos de Vida Qualitativamente Ajustados) são inadequados para programas preventivos voltados à alteração de comportamento. São sugeridos alguns tópicos que necessitam de investigação mais profunda
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