8,817 research outputs found
Nucleon-Nucleon Scattering and Large N(c) QCD
Nucleon-nucleon scattering observables are discussed in the context of large
Nc QCD. As is well known, the baryon spectrum in the large Nc limit exhibits
contracted SU(2Nf) spin-flavor sym- metry. This symmetry can be used to derive
model-independent relations between proton-proton and proton-neutron total
cross sections. These relations are valid in the kinematic regime in which the
relative momentum of two nucleons is of order of Nc. In this semiclassical
regime the nucleon-nucleon scattering can be described in the time-dependent
mean field approximation. These model-independent results are compared to
experimental data for spin-independent and polarized total nucleon-nucleon
cross sections.Comment: 9 pages, 3 figures. Invited talk, Xth Quark Confinement and the
Hadron Spectrum, October 201
Heavy Baryons: A Combined Large N_c and Heavy Quark Expansion for Electroweak Currents
The combined large N_c and heavy quark limit for baryons containing a single
heavy quark is discussed. The combined large N_c and heavy quark expansion of
the heavy quark bilinear operators is obtained. In the combined expansion the
corrections proportional to m_N/m_Q are summed to all orders. In particular,
the combined expansion can be used to determine semileptonic form factors of
heavy baryons in the combined limit.Comment: 8 pages. Presented at The Phenomenology of Large N_c QCD, Tempe,
Arizona, 9-11 Jan 200
The Mass of the Higgs Boson in the Standard Electroweak Model
An updated global analysis within the Standard Model (SM) of all relevant
electroweak precision and Higgs boson search data is presented with special
emphasis on the implications for the Higgs boson mass, M_H. Included are, in
particular, the most recent results on the top quark and W boson masses,
updated and significantly shifted constraints on the strong coupling constant,
alpha_s, from tau decays and other low energy measurements such as from atomic
parity violation and neutrino deep inelastic scattering. The latest results
from searches for Higgs production and decay at the Tevatron are incorporated
together with the older constraints from LEP 2. I find a trimodal probability
distribution for M_H with a fairly narrow preferred 90% CL window, 115 GeV <
M_H < 148 GeV.Comment: 5 pages, 3 figures; 2 references added, 3 removed; a few changes in
text; final version as published in journa
Multivariate Hierarchical Frameworks for Modelling Delayed Reporting in Count Data
In many fields and applications count data can be subject to delayed
reporting. This is where the total count, such as the number of disease cases
contracted in a given week, may not be immediately available, instead arriving
in parts over time. For short term decision making, the statistical challenge
lies in predicting the total count based on any observed partial counts, along
with a robust quantification of uncertainty. In this article we discuss
previous approaches to modelling delayed reporting and present a multivariate
hierarchical framework where the count generating process and delay mechanism
are modelled simultaneously. Unlike other approaches, the framework can also be
easily adapted to allow for the presence of under-reporting in the final
observed count. To compare our approach with existing frameworks, one of which
we extend to potentially improve predictive performance, we present a case
study of reported dengue fever cases in Rio de Janeiro. Based on both
within-sample and out-of-sample posterior predictive model checking and
arguments of interpretability, adaptability, and computational efficiency, we
discuss the advantages and disadvantages of each modelling framework.Comment: Biometrics (2019
Mind the gap! A multilevel analysis of factors related to variation in published cost-effectiveness estimates within and between countries
Background. Published cost-effectiveness estimates can vary considerably, both within and between countries. Despite extensive discussion, little is known empirically about factors relating to these variations. Objectives. To use multilevel statistical modeling to integrate cost-effectiveness estimates from published economic evaluations to investigate potential causes of variation. Methods. Cost-effectiveness studies of statins for cardiovascular disease prevention were identified by systematic review. Estimates of incremental costs and effects were extracted from reported base case, sensitivity, and subgroup analyses, with estimates grouped in studies and in countries. Three bivariate models were developed: a cross-classified model to accommodate data from multinational studies, a hierarchical model with multinational data allocated to a single category at country level, and a hierarchical model excluding multinational data. Covariates at different levels were drawn from a long list of factors suggested in the literature. Results. We found 67 studies reporting 2094 cost-effectiveness estimates relating to 23 countries (6 studies reporting for more than 1 country). Data and study-level covariates included patient characteristics, intervention and comparator cost, and some study methods (e.g., discount rates and time horizon). After adjusting for these factors, the proportion of variation attributable to countries was negligible in the cross-classified model but moderate in the hierarchical models (14%−19% of total variance). Country-level variables that improved the fit of the hierarchical models included measures of income and health care finance, health care resources, and population risks. Conclusions. Our analysis suggested that variability in published cost-effectiveness estimates is related more to differences in study methods than to differences in national context. Multinational studies were associated with much lower country-level variation than single-country studies. These findings are for a single clinical question and may be atypical
NMC stratospheric analyses during the 1987 Antarctic expedition
Stratospheric constant pressure analyses of geopotential height and temperature, produced as part of regular operations at the National Meteorological Center (NMC), were used by several participants of the Antarctic Ozone Expedition. A brief decription is given of the NMC stratospheric analyses and the data that are used to derive them. In addition, comparisons of the analysis values at the locations of radiosonde and aircraft data are presented to provide indications for assessing the representativeness of the NMC stratospheric analyses during the 1987 Antarctic winter-spring period
Hydrogen absorption in solid aluminum during high-temperature steam oxidation
Hydrogen is emitted by aluminum heated in a vacuum after high-temperature steam treatment. Wire samples are tested for this effect, showing dependence on surface area. Two different mechanisms of absorption are inferred, and reactions deduced
Polling bias and undecided voter allocations: US Presidential elections, 2004 - 2016
Accounting for undecided and uncertain voters is a challenging issue for
predicting election results from public opinion polls. Undecided voters typify
the uncertainty of swing voters in polls but are often ignored or allocated to
each candidate in a simple, deterministic manner. Historically this may have
been adequate because the undecided were comparatively small enough to assume
that they do not affect the relative proportions of the decided voters.
However, in the presence of high numbers of undecided voters, these static
rules may in fact bias election predictions from election poll authors and
meta-poll analysts. In this paper, we examine the effect of undecided voters in
the 2016 US presidential election to the previous three presidential elections.
We show there were a relatively high number of undecided voters over the
campaign and on election day, and that the allocation of undecided voters in
this election was not consistent with two-party proportional (or even)
allocations. We find evidence that static allocation regimes are inadequate for
election prediction models and that probabilistic allocations may be superior.
We also estimate the bias attributable to polling agencies, often referred to
as "house effects".Comment: 32 pages, 9 figures, 6 table
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