733 research outputs found
Decays of the Meson to a -Wave Charmonium State or
The semileptonic decays,
, and the two-body
nonleptonic decays, , (here and
denote and respectively, and
indicates a meson) were computed. All of the form factors appearing in the
relevant weak-current matrix elements with as its initial state and a
-wave charmonium state as its final state for the decays were precisely
formulated in terms of two independent overlapping-integrations of the
wave-functions of and the -wave charmonium and with proper kinematics
factors being `accompanied'. We found that the decays are quite sizable, so
they may be accessible in Run-II at Tevatron and in the foreseen future at LHC,
particularly, when BTeV and LHCB, the special detectors for B-physics, are
borne in mind. In addition, we also pointed out that the decays may potentially be used as a fresh window to look for the
charmonium state, and the cascade decays,
() with one of the radiative decays
being followed accordingly, may affect
the observations of meson through the decays () substantially.Comment: 24 pages, 3 figures, the replacement for improving the presentation
and adding reference
Solving the paradox of the folded falling chain by considering horizontal kinetic energy and link geometry
A folded chain, with one end fixed at the ceiling and the other end released
from the same elevation, is commonly modeled as an energy-conserving system in
one-dimension. However, the analytical paradigms in previous literature is
unsatisfying: The theoretical prediction of the tension at the fixed end
becomes infinitely large when the free end reaches the bottom, contradicting to
the experimental observations. Furthermore, the dependence of the total falling
time on the link number demonstrated in numerical simulations is still
unexplained. Here, considering the horizontal kinetic energy and the geometry
of each link, we derived analytical solutions of the maximal tension as well as
the total falling time, in agreement with simulation results and experimental
data reported in previous studies. This theoretical perspective shows a simple
representation of the complicated two-dimensional falling chain system and, in
particular, specifies the signature of the chain properties.Comment: 13 pages, 4 figure
Single-Spin Measurement and Decoherence in Magnetic Resonance Force Microscopy
We consider a simple version of a cyclic adiabatic inversion (CAI) technique
in magnetic resonance force microscopy (MRFM). We study the problem: What
component of the spin is measured in the CAI MRFM? We show that the
non-destructive detection of the cantilever vibrations provides a measurement
of the spin component along the effective magnetic field. This result is based
on numerical simulations of the Hamiltonian dynamics (the Schrodinger equation)
and the numerical solution of the master equation.Comment: 5 pages + 5 figures (PNG format
Critical Acceptance Factors of Cloud-Based Public Health Records
Personal health records (PHR) is a tool that can be used to assist patients in health management, and cloud-based PHR is expected to effectively integrate medical resources and information, elevate overall healthcare quality, and reduce unnecessary medical costs. This study tends to explore the factors that affect users’ intention to use with regard to the Microsoft HealthVault hybrid cloud health system in Taiwan. A research model combined with Unified Theory of Acceptance and Use of Technology (UTAUT) and Task-Technology Fit (TTF) models as well as perceived risks and trust is proposed including 10 hypotheses. After conducting a series survey, in total, 254 valid questionnaires in Taiwan were received. Some preliminary findings are discussed, and it is hoped that this model can be used to explore the key factors influencing usage intent toward the HealthVault
Critical Factors of Adopting Enterprise Application Integration Technology: An Empirical Study on Larger Hospitals
As hospitals extend their service scope, they adopt more information systems. These systems are implemented in different timelines and the interfaces of databases become varied. Frequently, the exchange of information between various systems requires additional coordination or even manual input for unifying data. To embrace automation, the solution is to adopt enterprise application integration (EAI) technology, the middleware, to convert data from among various information systems to enable an efficient flow of data in the hospital. In this paper, we discuss and verify the impact factors on the integration levels of EAI by surveying larger hospitals above the regional level in Taiwan and testing a proposed research model. The findings of this study show that information technology infrastructure, hospital size, external pressure, internal pressure, and external support significantly affect the EAI level
JCMT POL-2 and ALMA polarimetric observations of 6000-100 au scales in the protostar B335: linking magnetic field and gas kinematics in observations and MHD simulations
We present our analysis of the magnetic field structures from 6000 au to 100
au scales in the Class 0 protostar B335 inferred from our JCMT POL-2
observations and the ALMA archival polarimetric data. To interpret the
observational results, we perform a series of (non-)ideal MHD simulations of
the collapse of a rotating non-turbulent dense core, whose initial conditions
are adopted to be the same as observed in B335, and generate synthetic
polarization maps. The comparison of our JCMT and simulation results suggests
that the magnetic field on a 6000 au scale in B335 is pinched and well aligned
with the bipolar outflow along the east-west direction. Among all our
simulations, the ALMA polarimetric results are best explained with weak
magnetic field models having an initial mass-to-flux ratio of 9.6. However, we
find that with the weak magnetic field, the rotational velocity on a 100 au
scale and the disk size in our simulations are larger than the observational
estimates by a factor of several. An independent comparison of our simulations
and the gas kinematics in B335 observed with the SMA and ALMA favors strong
magnetic field models with an initial mass-to-flux ratio smaller than 4.8. We
discuss two possibilities resulting in the different magnetic field strengths
inferred from the polarimetric and molecular-line observations, (1)
overestimated rotational-to-gravitational energy in B335 and (2) additional
contributions in the polarized intensity due to scattering on a 100 au scale.Comment: Accepted by Ap
A note on Zolotarev optimal rational approximation for the overlap Dirac operator
We discuss the salient features of Zolotarev optimal rational approximation
for the inverse square root function, in particular, for its applications in
lattice QCD with overlap Dirac quark. The theoretical error bound for the
matrix-vector multiplication is derived. We check that
the error bound is always satisfied amply, for any QCD gauge configurations we
have tested. An empirical formula for the error bound is determined, together
with its numerical values (by evaluating elliptic functions) listed in Table 2
as well as plotted in Figure 3. Our results suggest that with Zolotarev
approximation to , one can practically preserve the exact
chiral symmetry of the overlap Dirac operator to very high precision, for any
gauge configurations on a finite lattice.Comment: 23 pages, 5 eps figures, v2:minor clarifications, and references
added, to appear in Phys. Rev.
Developing Particle Emission Inventories Using Remote Sensing (PEIRS)
Information regarding the magnitude and distribution of PM(sub 2.5) emissions is crucial in establishing effective PM regulations and assessing the associated risk to human health and the ecosystem. At present, emission data is obtained from measured or estimated emission factors of various source types. Collecting such information for every known source is costly and time consuming. For this reason, emission inventories are reported periodically and unknown or smaller sources are often omitted or aggregated at large spatial scale. To address these limitations, we have developed and evaluated a novel method that uses remote sensing data to construct spatially-resolved emission inventories for PM(sub 2.5). This approach enables us to account for all sources within a fixed area, which renders source classification unnecessary. We applied this method to predict emissions in the northeast United States during the period of 2002-2013 using high- resolution 1 km x 1 km Aerosol Optical Depth (AOD). Emission estimates moderately agreed with the EPA National Emission Inventory (R(sup2) = 0.66 approx. 0.71, CV = 17.7 approx. 20%). Predicted emissions are found to correlate with land use parameters suggesting that our method can capture emissions from land use-related sources. In addition, we distinguished small-scale intra-urban variation in emissions reflecting distribution of metropolitan sources. In essence, this study demonstrates the great potential of remote sensing data to predict particle source emissions cost-effectively
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