631 research outputs found
TOLD: A Novel Two-Stage Overlap-Aware Framework for Speaker Diarization
Recently, end-to-end neural diarization (EEND) is introduced and achieves
promising results in speaker-overlapped scenarios. In EEND, speaker diarization
is formulated as a multi-label prediction problem, where speaker activities are
estimated independently and their dependency are not well considered. To
overcome these disadvantages, we employ the power set encoding to reformulate
speaker diarization as a single-label classification problem and propose the
overlap-aware EEND (EEND-OLA) model, in which speaker overlaps and dependency
can be modeled explicitly. Inspired by the success of two-stage hybrid systems,
we further propose a novel Two-stage OverLap-aware Diarization framework (TOLD)
by involving a speaker overlap-aware post-processing (SOAP) model to
iteratively refine the diarization results of EEND-OLA. Experimental results
show that, compared with the original EEND, the proposed EEND-OLA achieves a
14.39% relative improvement in terms of diarization error rates (DER), and
utilizing SOAP provides another 19.33% relative improvement. As a result, our
method TOLD achieves a DER of 10.14% on the CALLHOME dataset, which is a new
state-of-the-art result on this benchmark to the best of our knowledge.Comment: Accepted by ICASSP202
The perturbation bound of the extended vertical linear complementarity problem
In this paper, we discuss the perturbation analysis of the extended vertical
linear complementarity problem (EVLCP). Under the assumption of the row
-property, several absolute and relative perturbation bounds of
EVLCP are given, which can be reduced to some existing results. Some numerical
examples are given to show the proposed bounds
Estimating the Spatial Distribution of Groundwater Demand In the Texas High Plains
Developing groundwater management plans requires a good understanding of the interdependence of groundwater hydrology and producer water use behavior. While state-of-the-art groundwater models require water demand data at highly disaggregated levels, the lack of producer water use data has held up the progress to meet that need. This paper proposes an econometric framework that links county-level crop acreage data to well-level hydrologic data to produce heterogeneous patterns of crop choice and irrigation practices within a county. Together with agronomic data on irrigation water requirements of various crops and irrigation practices, this model permits estimation of the water demand distribution within a county. We apply this model to a panel of 16 counties in the Southern Texas High Plains from 1972 to 2000. The results obtained not only are consistent with those from the traditional multinomial logit land use model, but also indicate the presence of large intra- and inter-county heterogeneity in producer water use behavior.Discrete Choice Model, Random-coefficients Discrete Choice Model, Crop Choice, BLP, Groundwater, Texas High Plains, Ogallala Aquifer, Crop Production/Industries, Resource /Energy Economics and Policy,
Neutron powder diffraction study on the iron-based nitride superconductor ThFeAsN
We report neutron diffraction and transport results on the newly discovered
superconducting nitride ThFeAsN with 30 K. No magnetic transition, but a
weak structural distortion around 160 K, is observed cooling from 300 K to 6 K.
Analysis on the resistivity, Hall transport and crystal structure suggests this
material behaves as an electron optimally doped pnictide superconductors due to
extra electrons from nitrogen deficiency or oxygen occupancy at the nitrogen
site, which together with the low arsenic height may enhance the electron
itinerancy and reduce the electron correlations, thus suppress the static
magnetic order.Comment: 4 pages, 4 figures, Accepted by EP
Dissecting the Genetic Architecture of Complex Traits: Hot Spots and Vascular Collaterals
Collateral arteries are endogenous “bypass vessels” that minimize tissue injury during arterial obstruction. Recent studies from our laboratory demonstrate that wide variation exists among individuals in the extent (number and diameter) of native (pre-existing) collaterals in healthy tissue and their outward remodeling (increase in anatomic diameter) in obstructive disease. Evidence suggests this variation contributes importantly to the wide variation in thromboembolic stroke, ischemic heart disease and peripheral arterial disease in humans. We hypothesized that genetic components contribute significantly to this variation. We tested this hypothesis in 243 C57BL/6 X BALB/c (CXB) F2 mice, wherein number and diameter of native cerebral collaterals and collateral remodeling after middle cerebral artery occlusion (MCAO) were measured. Linkage analysis identified a major QTL on chromosome 7 (Canq1) responsible for more than 30% of the variation in collateral extent. Three additional QTL were obtained for collateral number. Analysis of chromosome substitution and CXB recombinant inbred strains confirmed the dominant role of the Canq1 locus. We also identified a QTL on chromosome 11 linked to variation in collateral remodeling. Efficient mix model association mapping (EMMA) of collateral number among 15 inbred strains delineated
172k (p=0.00002) and 290k (p=0.0004) base-pair regions containing 2 and 7 candidate genes, respectively, within Canq1. Analysis of six additional inbred strains, chosen according to their haplotype within the 172 kb EMMA region, strengthened and narrowed the locus from 172 kb interval to 2 kb. In candidate gene analyses, we found that collateral extent, infarct volume after MCAO, bleeding and re-bleeding times did not differ between Itgal-/,-IL4-/- or IL4-receptor-α-/- and wildtype mice. mRNA expression of 120 genes within the 95% confidence interval of Canq1, measured in the pial vasculature of C57BL/6 and BALB/c at embryonic day-14.5, -16.5 and -18.5 when the collateral circulation forms, identified 19 differentially expressed genes.
These results demonstrate that native collateral extent and collateral remodeling are heritable complex traits, with a highly significant QTL on chromosome 7 governing the majority of the variation in these traits. Furthermore, my work prioritizes a set of genes for future analysis as candidates underlying the process of collateral formation and its variation among individuals
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