16,636 research outputs found
Extramedullary Plasmacytoma of Soft Tissues and Gingiva
Extramedullary plasmacytoma (EMP) is a rare plasma cell neoplasm of soft tissue without bone marrow involvement or other systemic characteristics of multiple myeloma. It accounts for 3% of all plasma cell tumors. Multiple extramedullary plasmacytoma is defined when there is more than one extramedullary tumor of clonal plasma cells and such presentation has not been described earlier. We report such rare case of multiple extramedullary plasmacytoma involving multiple soft tissues in chest, abdomen, mandible, maxilla, and gingiva
The low noise phase of a 2d active nematic
We consider a collection of self-driven apolar particles on a substrate that
organize into an active nematic phase at sufficiently high density or low
noise. Using the dynamical renormalization group, we systematically study the
2d fluctuating ordered phase in a coarse-grained hydrodynamic description
involving both the nematic director and the conserved density field. In the
presence of noise, we show that the system always displays only quasi-long
ranged orientational order beyond a crossover scale. A careful analysis of the
nonlinearities permitted by symmetry reveals that activity is dangerously
irrelevant over the linearized description, allowing giant number fluctuations
to persist though now with strong finite-size effects and a non-universal
scaling exponent. Nonlinear effects from the active currents lead to power law
correlations in the density field thereby preventing macroscopic phase
separation in the thermodynamic limit.Comment: 17 pages, 5 figure
The Hydrodynamical Limit of Quantum Hall system
We study the current algebra of FQHE systems in the hydrodynamical limit of
small amplitude, long-wavelength fluctuations. We show that the algebra
simplifies considerably in this limit. The hamiltonian is expressed in a
current-current form and the operators creating inter-Landau level and lowest
Landau level collective excitations are identified.Comment: Revtex, 16 page
ESR measurements of phosphorus dimers in isotopically enriched 28Si silicon
Dopants in silicon have been studied for many decades using optical and
electron spin resonance (ESR) spectroscopy. Recently, new features have been
observed in the spectra of dopants in isotopically enriched 28Si since the
reduced inhomogeneous linewidth in this material improves spectral resolution.
With this in mind, we measured ESR on exchange coupled phosphorus dimers in
28Si and report two results. First, a new fine structure is observed in the ESR
spectrum arising from state mixing by the hyperfine coupling to the 31P nuclei,
which is enhanced when the exchange energy is comparable to the Zeeman energy.
This fine structure enables us to spectroscopically address two separate dimer
sub-ensembles, the first with exchange (J) coupling ranging from 2 to 7 GHz and
the second with J ranging from 6 to 60 GHz. Next, the average spin relaxation
times, T1 and T2 of both dimer sub-ensembles were measured using pulsed ESR at
0.35 T. Both T1 and T2 for transitions between triplet states of the dimers
were found to be identical to the relaxation times of isolated phosphorus
donors in 28Si, with T2 = 4 ms at 1.7 K limited by spectral diffusion due to
dipolar interactions with neighboring donor electron spins. This result,
consistent with theoretical predictions, implies that an exchange coupling of 2
- 60 GHz does not limit the dimer T1 and T2 in bulk Si at the 10 ms timescale.Comment: 24 pages, 9 figure
A Statistical Semi-Empirical Model: Satellite galaxies in Groups and Clusters
We present STEEL a STatistical sEmi-Empirical modeL designed to probe the
distribution of satellite galaxies in groups and clusters. Our fast statistical
methodology relies on tracing the abundances of central and satellite haloes
via their mass functions at all cosmic epochs with virtually no limitation on
cosmic volume and mass resolution. From mean halo accretion histories and
subhalo mass functions the satellite mass function is progressively built in
time via abundance matching techniques constrained by number densities of
centrals in the local Universe. By enforcing dynamical merging timescales as
predicted by high-resolution N-body simulations, we obtain satellite
distributions as a function of stellar mass and halo mass consistent with
current data. We show that stellar stripping, star formation, and quenching
play all a secondary role in setting the number densities of massive satellites
above . We further show that observed
star formation rates used in our empirical model over predict low-mass
satellites below , whereas, star
formation rates derived from a continuity equation approach yield the correct
abundances similar to previous results for centrals.Comment: 21 pages, 17 Figures. MNRAS, in pres
Non‐Rayleigh Statistics of Ultrasonic Backscattered Echo from Tissues
The envelope of the backscattered signal from tissues can exhibit non‐Rayleigh statistics if the number density of scatterers is small or if the variations in the scattering cross sections are random. The K distribution which has been used extensively in radar, is introduced to model this non‐Rayleigh behavior. The generalized K distribution is extremely useful since it encompasses a wide range of distributions such as Rayleigh, Lognormal, and Rician. Computer simulations were conducted using a simple one‐dimensional discrete scatteringmodel to investigate the properties of the echo envelope. In addition to cases of low number densities, significant departures from Rayleigh statistics were seen as the scattering cross sections of the scatterers become random. The validity of this model was also tested using data from tissue mimicking phantoms. Results indicate that the density function of the envelope can be modeled by the K distribution and the parameters of the K distribution can provide information on the nature of the scattering region in terms of the number density of the scatterers as well as the scattering cross sections of the scatterers in the range cell. [Work was supported by NSF Grant No. BCS‐9207385.
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