28,222 research outputs found
KN and KbarN Elastic Scattering in the Quark Potential Model
The KN and KbarN low-energy elastic scattering is consistently studied in the
framework of the QCD-inspired quark potential model. The model is composed of
the t-channel one-gluon exchange potential, the s-channel one-gluon exchange
potential and the harmonic oscillator confinement potential. By means of the
resonating group method, nonlocal effective interaction potentials for the KN
and KbarN systems are derived and used to calculate the KN and KbarN elastic
scattering phase shifts. By considering the effect of QCD renormalization, the
contribution of the color octet of the clusters (qqbar) and (qqq) and the
suppression of the spin-orbital coupling, the numerical results are in fairly
good agreement with the experimental data.Comment: 20 pages, 8 figure
Fulde-Ferrel-Larkin-Ovchinnikov Inhomogeneous Superconducting State and Phase Transitions Induced by Spin Accumulation in a Ferromagnet--Wave Superconductor-Ferromagnet Tunnel Junction
Fulde-Ferrel-Larkin-Ovchinnikov (FFLO) inhomogeneous superconducting (SC)
state, first- and second-order phase transitions, and quantum criticality
induced by spin accumulation in a ferromagnet--wave
superconductor-ferromagnet tunnel junction are theoretically predicted. A
complex phase diagram in the temperature-bias voltage plane is determined. It
is found that the phase transitions from the homogeneous BCS state to the
inhomogeneous FFLO state, and from the FFLO state with the momentum 's azimuthal angle to that with , are of the first-order; while the transitions from all SC
states to the normal state at critical voltages are of the second-order. A
Lifshitz point, a bicritical point and a quantum critical point are identified.Comment: 5 pages, 5 figure
Lifshitz transitions in a heavy-Fermion liquid driven by short-range antiferromagnetic correlations in the two-dimensional Kondo lattice model
The heavy-Fermion liquid with short-range antiferromagnetic correlations is
carefully considered in the two-dimensional Kondo-Heisenberg lattice model. As
the ratio of the local Heisenberg superexchange to the Kondo coupling
increases, Lifshitz transitions are anticipated, where the topology of
the Fermi surface (FS) of the heavy quasiparticles changes from a hole-like
circle to four kidney-like pockets centered around . In-between
these two limiting cases, a first-order quantum phase transition is identified
at where a small circle begins to emerge within the large
deformed circle. When , the two deformed circles intersect
each other and then decompose into four kidney-like Fermi pockets via a
second-order quantum phase transition. As increases further, the
Fermi pockets are shifted along the direction () to (),
and the resulting FS is consistent with the FS obtained recently using the
quantum Monte Carlo cluster approach to the Kondo lattice system in the
presence of the antiferrmagnetic order.Comment: 4 pages, 5 figure
Analytical Results for Cold Asymmetrical Fermion Superfluids at the Mean-Field Level
We present the analytical results at the mean-field level for the
asymmetrical fermion system with attractive contact interaction at the zero
temperature. The results can be expressed in terms of linear combinations of
the elliptic integrals of the first and second kinds. In the limit of small gap
parameter, we discuss how the asymmetry in fermion species affects the phases
of the ground state. In the limit of large gap parameter, we show that two
candidate phases are competing for the system's ground state. The Sarma phase
containing a pure Fermi fluid and a mixed condensate is favored at large degree
of asymmetry. The separated phase consisting of a pure Fermi fluid and a boson
condensate supports the system at smaller degree of asymmetry. The two phases
are degenerate in the limit of infinite pairing gap.Comment: 23 pages, no figur
Detection of a new methanol maser line with ALMA
Aims. We aimed at investigating the structure and kinematics of the gaseous
disk and outflows around the massive YSO S255 NIRS3 in the S255IR-SMA1 dense
clump. Methods. Observations of the S255IR region were carried out with ALMA at
two epochs in the compact and extended configurations. Results. We
serendipitously detected a new, never predicted, bright maser line at about
349.1 GHz, which most probably represents the CHOH A transition. The emission covers most of the 6.7 GHz methanol maser emission
area of almost 1 in size and shows a velocity gradient in the
same sense as the disk rotation. No variability was found on the time interval
of several months. It is classified as Class II maser and probably originates
in a ring at a distance of several hundreds AU from the central star.Comment: 4 pages, 4 figures, accepted by Astronomy and Astrophysic
Consistency in Formulation of Spin Current and Torque Associated with a Variance of Angular Momentum
Stimulated generally by recent interest in the novel spin Hall effect, the
nonrelativistic quantum mechanical conserved currents, taken into account of
spin-orbit coupling, are rigorously formulated based on the symmetries of
system and Noether' theorem. The quantum mechanical force on the spin as well
as the torque associated with the variance of angular momentum are obtained.
Consequently, the kinetic interpretation of the variances of spin and orbit
angular momentum currents implies a torque on the "electric dipole" associated
with the moving spin. The bearing of the force and the torque on the properties
of spin current in a two-dimensional electron gas with the Rashba spin-orbit
interaction is discussed.Comment: 4 pages, no figur
The Cure: Making a game of gene selection for breast cancer survival prediction
Motivation: Molecular signatures for predicting breast cancer prognosis could
greatly improve care through personalization of treatment. Computational
analyses of genome-wide expression datasets have identified such signatures,
but these signatures leave much to be desired in terms of accuracy,
reproducibility and biological interpretability. Methods that take advantage of
structured prior knowledge (e.g. protein interaction networks) show promise in
helping to define better signatures but most knowledge remains unstructured.
Crowdsourcing via scientific discovery games is an emerging methodology that
has the potential to tap into human intelligence at scales and in modes
previously unheard of. Here, we developed and evaluated a game called The Cure
on the task of gene selection for breast cancer survival prediction. Our
central hypothesis was that knowledge linking expression patterns of specific
genes to breast cancer outcomes could be captured from game players. We
envisioned capturing knowledge both from the players prior experience and from
their ability to interpret text related to candidate genes presented to them in
the context of the game.
Results: Between its launch in Sept. 2012 and Sept. 2013, The Cure attracted
more than 1,000 registered players who collectively played nearly 10,000 games.
Gene sets assembled through aggregation of the collected data clearly
demonstrated the accumulation of relevant expert knowledge. In terms of
predictive accuracy, these gene sets provided comparable performance to gene
sets generated using other methods including those used in commercial tests.
The Cure is available at http://genegames.org/cure
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