142,413 research outputs found
Electrode geometry and preferential stimulation of spinal nerve fibers having different orientations: a modeling study
In a computer modeling study of epidural spinal cord stimulation using a longitudinal array of electrode contacts, the effect of contact geometry and contact combination on the threshold voltages for stimulation of dorsal column (DC) fibers and dorsal root (DR) fibers was investigated. It was concluded that DC-fiber stimulation will be favoured when a tripolar combination and small contact length and spacing are used, while DR-fiber stimulation will be favoured when unipolar stimulation and large contact length are used
Polyatomic trilobite Rydberg molecules in a dense random gas
Trilobites are exotic giant dimers with enormous dipole moments. They consist
of a Rydberg atom and a distant ground-state atom bound together by short-range
electron-neutral attraction. We show that highly polar, polyatomic trilobite
states unexpectedly persist and thrive in a dense ultracold gas of randomly
positioned atoms. This is caused by perturbation-induced quantum scarring and
the localization of electron density on randomly occurring atom clusters. At
certain densities these states also mix with a s-state, overcoming selection
rules that hinder the photoassociation of ordinary trilobites
On the dialog between experimentalist and modeler in catchment hydrology
The dialog between experimentalist and modeler in catchment hydrology has been minimal to date. The experimentalist often has a highly detailed yet highly qualitative understanding of dominant runoff processes—thus there is often much more information content on the catchment than we use for calibration of a model. While modelers often appreciate the need for 'hard data' for the model calibration process, there has been little thought given to how modelers might access this 'soft' or process knowledge. We present a new method where soft data (i.e., qualitative knowledge from the experimentalist that cannot be used directly as exact numbers) are made useful through fuzzy measures of model-simulation and parameter-value acceptability. We developed a three-box lumped conceptual model for the Maimai catchment in New Zealand, a particularly well-studied process-hydrological research catchment. The boxes represent the key hydrological reservoirs that are known to have distinct groundwater dynamics, isotopic composition and solute chemistry. The model was calibrated against hard data (runoff and groundwater-levels) as well as a number of criteria derived from the soft data (e.g. percent new water, reservoir volume, etc). We achieved very good fits for the three-box model when optimizing the parameter values with only runoff (Reff=0.93). However, parameter sets obtained in this way showed in general a poor goodness-of-fit for other criteria such as the simulated new-water contributions to peak runoff. Inclusion of soft-data criteria in the model calibration process resulted in lower Reff-values (around 0.84 when including all criteria) but led to better overall performance, as interpreted by the experimentalist’s view of catchment runoff dynamics. The model performance with respect to soft data (like, for instance, the new water ratio) increased significantly and parameter uncertainty was reduced by 60% on average with the introduction of the soft data multi-criteria calibration. We argue that accepting lower model efficiencies for runoff is 'worth it' if one can develop a more 'real' model of catchment behavior. The use of soft data is an approach to formalize this exchange between experimentalist and modeler and to more fully utilize the information content from experimental catchments
On the Green and Wald formalism
Backreaction in the cosmological context is a longstanding problem that is
especially important in the present era of precise cosmology. The standard
model of a homogeneous background plus density perturbations is most probably
oversimplified and is expected to fail to fully account for the near-future
observations of sub-percent precision. From a theoretical point of view, the
problem of backreaction is very complicated and deserves careful examination.
Recently, Green and Wald claimed in a series of papers to have developed a
formalism to properly describe the influence of density inhomogeneities on
average properties of the Universe, i.e., the backreaction effect. A brief
discussion of this framework is presented, focussing on its drawbacks and on
misconceptions that have arisen during the "backreaction debate".Comment: Contribution to the proceedings of MG1
Non-Hermitian Weyl Physics in Topological Insulator Ferromagnet Junctions
We introduce and investigate material junctions as a generic and tuneable
electronic platform for the realization of exotic non-Hermitian (NH)
topological states of matter, where the NH character is induced by the surface
self-energy of a thermal reservoir. As a conceptually rich and immediately
experimentally realizable example, we consider a three-dimensional topological
insulator (TI) coupled to a ferromagnetic lead. Remarkably, the symmetry
protected TI is promoted in a dissipative fashion to a non-symmetry protected
NH Weyl phase with no direct Hermitian counterpart and which exhibits
robustness against any perturbation. The transition between a gapped phase and
the NH Weyl phase may be readily tuned experimentally with the magnetization
direction of the ferromagnetic lead. Given the robustness of this exotic nodal
phase, our general analysis also applies to, e.g., a two-dimensional electron
gas close to criticality in proximity to a ferromagnetic lead. There, the
predicted bulk Fermi arcs are directly amenable to surface spectroscopy methods
such as angle-resolved photoemission spectroscopy.Comment: 6 pages, 4 figure
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