239 research outputs found
Transport in a three-terminal graphene quantum dot in the multi-level regime
We investigate transport in a three-terminal graphene quantum dot. All nine
elements of the conductance matrix have been independently measured. In the
Coulomb blockade regime accurate measurements of individual conductance
resonances reveal slightly different resonance energies depending on which pair
of leads is used for probing. Rapid changes in the tunneling coupling between
the leads and the dot due to localized states in the constrictions has been
excluded by tuning the difference in resonance energies using in-plane gates
which couple preferentially to individual constrictions. The interpretation of
the different resonance energies is then based on the presence of a number of
levels in the dot with an energy spacing of the order of the measurement
temperature. In this multi-level transport regime the three-terminal device
offers the opportunity to sense if the individual levels couple with different
strengths to the different leads. This in turn gives qualitative insight into
the spatial profile of the corresponding quantum dot wave functions.Comment: 12 pages, 6 figure
Modeling and Testing for Joint Association Using a Genetic Random Field Model
Substantial progress has been made in identifying single genetic variants
predisposing to common complex diseases. Nonetheless, the genetic etiology of
human diseases remains largely unknown. Human complex diseases are likely
influenced by the joint effect of a large number of genetic variants instead of
a single variant. The joint analysis of multiple genetic variants considering
linkage disequilibrium (LD) and potential interactions can further enhance the
discovery process, leading to the identification of new disease-susceptibility
genetic variants. Motivated by the recent development in spatial statistics, we
propose a new statistical model based on the random field theory, referred to
as a genetic random field model (GenRF), for joint association analysis with
the consideration of possible gene-gene interactions and LD. Using a
pseudo-likelihood approach, a GenRF test for the joint association of multiple
genetic variants is developed, which has the following advantages: 1.
considering complex interactions for improved performance; 2. natural dimension
reduction; 3. boosting power in the presence of LD; 4. computationally
efficient. Simulation studies are conducted under various scenarios. Compared
with a commonly adopted kernel machine approach, SKAT, GenRF shows overall
comparable performance and better performance in the presence of complex
interactions. The method is further illustrated by an application to the Dallas
Heart Study.Comment: 17 pages, 4 tables, the paper has been published on Biometric
The Impact of Geometry on Monochrome Regions in the Flip Schelling Process
Schelling’s classical segregation model gives a coherent explanation for the wide-spread phenomenon of residential segregation. We introduce an agent-based saturated open-city variant, the Flip Schelling Process (FSP), in which agents, placed on a graph, have one out of two types and, based on the predominant type in their neighborhood, decide whether to change their types; similar to a new agent arriving as soon as another agent leaves the vertex.
We investigate the probability that an edge {u,v} is monochrome, i.e., that both vertices u and v have the same type in the FSP, and we provide a general framework for analyzing the influence of the underlying graph topology on residential segregation. In particular, for two adjacent vertices, we show that a highly decisive common neighborhood, i.e., a common neighborhood where the absolute value of the difference between the number of vertices with different types is high, supports segregation and, moreover, that large common neighborhoods are more decisive.
As an application, we study the expected behavior of the FSP on two common random graph models with and without geometry: (1) For random geometric graphs, we show that the existence of an edge {u,v} makes a highly decisive common neighborhood for u and v more likely. Based on this, we prove the existence of a constant c > 0 such that the expected fraction of monochrome edges after the FSP is at least 1/2 + c. (2) For Erdős-Rényi graphs we show that large common neighborhoods are unlikely and that the expected fraction of monochrome edges after the FSP is at most 1/2 + o(1). Our results indicate that the cluster structure of the underlying graph has a significant impact on the obtained segregation strength
The effect of first step right atrial mapping (FRAM) on ablation duration and fluoroscopy exposure during cavotricuspid isthmus ablation of atrial flutter
AIM
To investigate the clinical significance of right atrial mapping prior to cavotricuspid isthmus (CTI) ablation in patients with typical atrial flutter (AFL).
METHODS
Clinical and ablation parameters were retrospectively assessed and compared in patients undergoing CTI ablation with or without a first-step right atrial mapping (FRAM) by using the CARTO 3D mapping system.
RESULTS
CTI block by radiofrequency ablation (RFA) was achieved in all 143 patients. In the FRAM group there was a shorter ablation duration and fluoroscopy exposure compared with the non-FRAM group. CHADS-VASc score was associated with higher ablation durations, more ablation applications and increased fluoroscopy exposure. Body mass index (BMI) was associated with longer ablation duration and more ablation applications. Furthermore, patients with reduced left ventricular ejection fraction (LVEF) had longer ablation durations and more fluoroscopy exposure. One patient in the non-FRAM group developed cardiac effusion after ablation. None of the patients had recurrence after 6 months of follow-up.
CONCLUSIONS
Patients with high BMI, high CHADS-VASc score and reduced LVEF may benefit from the FRAM approach by reducing ablation duration, number of ablation applications and fluoroscopy exposure
A desmoplakin variant associated with isolated arrhythmogenic left ventricular cardiomyopathy with rapid monomorphic ventricular tachycardia at first presentation
Arrhythmogenic cardiomyopathy (ACM) encompasses heart muscle diseases associated with potentially life-threatening ventricular tachyarrhythmias occurring out of proportion to the degree of underlying disease. The most classical disease is arrhythmogenic right ventricular cardiomyopathy (ARVC), whereas biventricular ACM as well as left-dominant forms (arrhythmogenic left ventricular cardiomyopathy, ALVC) have been increasingly recognized. Genetic variants in the desmoplakin (DSP) gene, coding for an integral part of the desmosome and the resultant disruption of intermediate filament binding, were shown to be associated with ACM, including ALVC.1 In this paper, we report a DSP variant associated with rapid sustained monomorphic ventricular tachycardia as first manifestation in a young female patient with isolated ALVC without right ventricle (RV) involvement
Electron flow in split-gated bilayer graphene
We present transport measurements on a bilayer graphene sheet with
homogeneous back gate and split top gate. The electronic transport data
indicates the capability to direct electron flow through graphene
nanostructures purely defined by electrostatic gating. By comparing the
transconductance data recorded for different top gate geometries - continuous
barrier and split-gate - the observed transport features for the split-gate can
be attributed to interference effects inside the narrow opening
Transport through a strongly coupled graphene quantum dot in perpendicular magnetic field
We present transport measurements on a strongly coupled graphene quantum dot
in a perpendicular magnetic field. The device consists of an etched
single-layer graphene flake with two narrow constrictions separating a 140 nm
diameter island from source and drain graphene contacts. Lateral graphene gates
are used to electrostatically tune the device. Measurements of Coulomb
resonances, including constriction resonances and Coulomb diamonds prove the
functionality of the graphene quantum dot with a charging energy of around 4.5
meV. We show the evolution of Coulomb resonances as a function of perpendicular
magnetic field, which provides indications of the formation of the graphene
specific 0th Landau level. Finally, we demonstrate that the complex pattern
superimposing the quantum dot energy spectra is due to the formation of
additional localized states with increasing magnetic field.Comment: 6 pages, 4 figure
- …