4,925 research outputs found
The effects of the late 2000s global financial crisis on Australia’s construction demand
An accurate measurement of the impacts of external shocks on construction demand will enable construction industry policymakers and developers to make allowances for future occurrences and advance the construction industry in a sustainable manner. This paper aims to measurethe dynamic effects of the late 2000s global financial crisis on the level of demand in the Australian construction industry. The vector error correction (VEC) model with intervention indicators is employed to estimate the external impact from the crisis on a macro-level construction economic indicator, namely construction demand. The methodology comprises six main stages to produce appropriate VEC models that describe the characteristics of the underlying process. Research findings suggestthat overall residential and non-residential construction demand were affected significantly by the recent crisis and seasonality. Non-residentialconstruction demand was disrupted more than residential construction demand at the crisis onset. The residential constructionindustry is more reactive and is able to recover faster following the crisis in comparison with the non-residential industry. The VEC model with intervention indicators developed in this study can be used as an experiment for an advanced econometric method. This can be used to analyse the effects of special eventsand factors not only on construction but also on other industries
Shedding light on the pion production in heavy-ion collisions for constraining the high-density symmetry energy
Within the framework of the quantum molecular dynamics transport model, the
pion production and constraint of the high-density symmetry energy in heavy-ion
collisions near threshold energy have been thoroughly investigated. The energy
conservation in the decay of resonances and reabsorption of pions in nuclear
medium are taken into account. The density profile of pion production, energy
conservation and pion potential are analyzed by the model. The isospin
diffusion in the low-density region (0.2 - 0.8) and
high-density region (1.2 - 1.8) is investigated by
analyzing the neutron/proton and ratios in the isotopic
reactions of Sn + Sn and Sn + Sn at the
incident energy of 270 MeV/nucleon, in which the symmetry energy manifests the
opposite contribution. The controversial conclusion of the
ratio for constraining the high-density symmetry energy by different transport
models is clarified. A soft symmetry energy with the slope parameter of
MeV by using the standard error analysis within the
range of is obtained by analyzing the experimental data from the
SRIT collaboration.Comment: 8 pages, 7 figure
Collective flows of clusters and pions in heavy-ion collisions at GeV energies
Within the framework of the quantum molecular dynamics transport model, the
collective flows of clusters and pions in heavy-ion collisions have been
systematically investigated. The clusters are recognized by the Wigner
phase-space density approach at the stage of freeze out in nuclear collisions,
i.e., deuteron, triton, He and . The directed and elliptic flows
of protons and deuterons in the reaction of Au+Au at incident
energy 1.23\emph{A} GeV are nicely consistent with the recent HADES data. The
higher order collective flows, i.e., triangular and quadrangle flows, manifest
the opposite trends with the less amplitude in comparison with the rapidity
distributions of directed and elliptic flows. The flow structure of He
and is very similar to the proton spectra. The influence of the pion
potential on the pion production is systematically investigated and compared
with the FOPI data via the transverse momentum, longitudinal rapidity and
collective flows in collisions of Au + Au. It is manifested
that the pion yields are slightly suppressed in the domain of mid-rapidity and
high momentum. The antiflow phenomena is reduced by implementing the pion
potential and more consistent with the FOPI data in collisions of
Au+Au at the incident energy 1.5\emph{A} GeV.Comment: 11 pages, 9 figures. arXiv admin note: substantial text overlap with
arXiv:2302.0213
BIVAS: A scalable Bayesian method for bi-level variable selection with applications
In this paper, we consider a Bayesian bi-level variable selection problem in
high-dimensional regressions. In many practical situations, it is natural to
assign group membership to each predictor. Examples include that genetic
variants can be grouped at the gene level and a covariate from different tasks
naturally forms a group. Thus, it is of interest to select important groups as
well as important members from those groups. The existing Markov Chain Monte
Carlo (MCMC) methods are often computationally intensive and not scalable to
large data sets. To address this problem, we consider variational inference for
bi-level variable selection (BIVAS). In contrast to the commonly used
mean-field approximation, we propose a hierarchical factorization to
approximate the posterior distribution, by utilizing the structure of bi-level
variable selection. Moreover, we develop a computationally efficient and fully
parallelizable algorithm based on this variational approximation. We further
extend the developed method to model data sets from multi-task learning. The
comprehensive numerical results from both simulation studies and real data
analysis demonstrate the advantages of BIVAS for variable selection, parameter
estimation and computational efficiency over existing methods. The method is
implemented in R package `bivas' available at https://github.com/mxcai/bivas
A Research on Students’ Needs for Follow-up Curriculum of College English
Increased universities and colleges offer the undergraduates with more follow-up courses with the further reform in college English education in China. An investigation on self-evaluation, difficulty, and willingness of undergraduates in learning English further was made in order to design more appropriate and adaptable follow-up courses. This research shows that the majority of undergraduates are not satisfied with their English level in English skills, especially speaking. Most undergraduates are willing to take further college English courses with the purpose of finding a better job, but they prefer to choose some comparatively simple and entertaining selective courses such as movie appreciation other than some courses for developing skills. The data achieved leaves some implications on college English education, lays some bases for English education reform and provides new challenge for college English teachers
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