40,685 research outputs found
A binaural grouping model for predicting speech intelligibility in multitalker environments
Spatially separating speech maskers from target speech often leads to a large intelligibility improvement. Modeling this phenomenon has long been of interest to binaural-hearing researchers for uncovering brain mechanisms and for improving signal-processing algorithms in hearing-assistive devices. Much of the previous binaural modeling work focused on the unmasking enabled by binaural cues at the periphery, and little quantitative modeling has been directed toward the grouping or source-separation benefits of binaural processing. In this article, we propose a binaural model that focuses on grouping, specifically on the selection of time-frequency units that are dominated by signals from the direction of the target. The proposed model uses Equalization-Cancellation (EC) processing with a binary decision rule to estimate a time-frequency binary mask. EC processing is carried out to cancel the target signal and the energy change between the EC input and output is used as a feature that reflects target dominance in each time-frequency unit. The processing in the proposed model requires little computational resources and is straightforward to implement. In combination with the Coherence-based Speech Intelligibility Index, the model is applied to predict the speech intelligibility data measured by Marrone et al. The predicted speech reception threshold matches the pattern of the measured data well, even though the predicted intelligibility improvements relative to the colocated condition are larger than some of the measured data, which may reflect the lack of internal noise in this initial version of the model.R01 DC000100 - NIDCD NIH HH
Impurity scattering in a d-wave superconductor
The influence of (non-magnetic and magnetic) impurities on the transition
temperature of a d-wave superconductor is studied anew within the framework of
BCS theory. Pairing interaction decreases linearly with the impurity
concentration. Accordingly suppression is proportional to the
(potential or exchange) scattering rate, , due to impurities. The
initial slope versus is found to depend on the superconductor contrary
to Abrikosov-Gor'kov type theory. Near the critical impurity concentration
drops abruptly to zero. Because the potential scattering rate is
generally much larger than the exchange scattering rate, magnetic impurities
will also act as non-magnetic impurities as far as the decrease is
concerned. The implication for the impurity doping effect in high
superconductors is also discussed.Comment: 12 pages and 1 figure, PlainTex, submitted to Mod. Phys. Lett. B, For
more information, please see "http://taesan.kaist.ac.kr/~yjkim
Non-Markovian quantum state diffusion for an open quantum system in fermionic environments
Non-Markovian quantum state diffusion (NMQSD) provides a powerful approach to
the dynamics of an open quantum system in bosonic environments. Here we develop
an NMQSD method to study the open quantum system in fermionic environments.
This problem involves anticommutative noise functions (i.e., Grassmann
variables) that are intrinsically different from the noise functions of bosonic
baths. We obtain the NMQSD equation for quantum states of the system and the
non-Markovian master equation. Moreover, we apply this NMQSD method to single
and double quantum-dot systems.Comment: 9 pages, 1 figur
Character-level Chinese-English Translation through ASCII Encoding
Character-level Neural Machine Translation (NMT) models have recently
achieved impressive results on many language pairs. They mainly do well for
Indo-European language pairs, where the languages share the same writing
system. However, for translating between Chinese and English, the gap between
the two different writing systems poses a major challenge because of a lack of
systematic correspondence between the individual linguistic units. In this
paper, we enable character-level NMT for Chinese, by breaking down Chinese
characters into linguistic units similar to that of Indo-European languages. We
use the Wubi encoding scheme, which preserves the original shape and semantic
information of the characters, while also being reversible. We show promising
results from training Wubi-based models on the character- and subword-level
with recurrent as well as convolutional models.Comment: 7 pages, 3 figures, 3rd Conference on Machine Translation (WMT18),
201
Controlling Condensate Collapse and Expansion with an Optical Feshbach Resonance
We demonstrate control of the collapse and expansion of an 88Sr Bose-Einstein
condensate using an optical Feshbach resonance (OFR) near the 1S0-3P1
intercombination transition at 689 nm. Significant changes in dynamics are
caused by modifications of scattering length by up to +- ?10a_bg, where the
background scattering length of 88Sr is a_bg = -2a0 (1a0 = 0.053 nm). Changes
in scattering length are monitored through changes in the size of the
condensate after a time-of-flight measurement. Because the background
scattering length is close to zero, blue detuning of the OFR laser with respect
to a photoassociative resonance leads to increased interaction energy and a
faster condensate expansion, whereas red detuning triggers a collapse of the
condensate. The results are modeled with the time-dependent nonlinear
Gross-Pitaevskii equation.Comment: 5 pages, 3 figure
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A perspective on the impact of radiation therapy on the immune rheostat.
The advent and success of immune checkpoint inhibitors (ICIs) in cancer treatment has broadened the spectrum of tumours that might be considered "immunogenic" and susceptible to immunotherapeutic (IT) intervention. Not all cancer types are sensitive, and not all patients with any given type respond. Combination treatment of ICIs with an established cytotoxic modality such as radiation therapy (RT) is a logical step towards improvement. For one, RT alone has been shown to be genuinely immunomodulatory and secondly pre-clinical data generally support combined ICI-RT approaches. This new integrated therapy for cancer treatment holds much promise, although there is still a lot to be learned about how best to schedule the treatments, manage the toxicities and determine what biomarkers might predict response, as well as many other issues. This review examines how RT alters the immune rheostat and how it might best be positioned to fully exploit IT
A systematic study on the binding energy of hypernuclei
In this paper, we calculated the binding energy per baryon of the
hypernuclei systemically, using the relativistic mean field theory (RMF) in a
statistic frame. Some resemble properties are found among most of the
hypernuclei found in experiments. The data show that a hypernucleus
will be more stable, if it is composed of a hyperon adding to a
stable normal nuclear core, or a hyperon replacing a neutron in a
stable normal nuclear core. According to our calculations, existences of some
new hypernuclei are predicted under the frame of RMF.Comment: 8 pages, 6 figures, 3 table
Comparative study on growth and survival of larval and juvenile Dicentrarchus labrax rearing on rotifer and Artemia enriched with four different microalgae species
In the present study, two experiments were carried out, the first one at age from 4th to 24th days post hatching (dph) which include Dicentrarchus labrax larvae rearing on rotifer and Artemia enriched with four types of algae as follows: Chlorella salina, Dunaleilla salina, Nannochloropsis salina and Tetraselmis chuii (ch1, D1, N1 and T1). At the end of the experiment, mean body length of 5.4, 11.9, 11.0 and 10.01 mm and a survival rate of 79.4, 73.8, 63.5 and 30.0% were achieved. Larvae fed with algae cultured in basal medium of chcont, Dcont, Ncont and Tcont reached 9.1, 9.5, 8.0 and 8.0 mm with survival rate of 31.7, 40.4, 30.5 and 22.4% by 25 (dph), respectively. In the second trial, juvenile D. labrax (25 - 60 dph) fed with Artemia metanauplii, enriched by ch1 (the best result recommended from 1st experiment) increased their mean total length to 35.5±1.4 mm at age 60 dph. The total carbohydrate and total protein in the algae species used to enrich rotifer and Artemia significantly increased for ch1, D1, N1 and T1.Also total amino acid significantly increased at P < 0.001. The total fatty acid and total unsaturated fatty acid in the algae significantly increased (P < 0.001) for ch1, D1, N1 and T1 taking into consideration that the state of C22:6 significantly increased. The ch1 gave better growth and survival percentage followed by D1 for enrich Brachionus plicatilis and newly hatched Artemia
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