The noise robustness of an adaptive decorrelation ltering (ADF)-based co-channel speech separation system is addressed. While ADF algorithm has been shown as an effective method in speech-alone scenarios, its performance deteriorates in the presence of background noise. In this work, it is shown that the performance of the ADF-based system deteriorates when the speech-to-noise ratio (SNR) worse...

We propose a novel approach to improve adaptive decorrelation filtering(ADF-) based speech source separation in diffuse noise. The effects of noise on system adaptation and separation outputs are handled separately. First, fast noise compensation (NC) is developed for adaptation of separation filters, forcing ADF to focus on source separation; next, output noises are suppressed by speech enhanc...

Confidence intervals for the intraclass correlation coefficient (ICC) have been proposed under the assumption of multivariate normality. We propose confidence intervals which do not require distributional assumptions. We performed a simulation study to assess the coverage rates of normal theory (NT) and asymptotically distribution free (ADF) intervals. We found that the ADF intervals performed ...

We investigate fundamental properties of threevalued semantics for abstract dialectical frameworks (ADFs). In particular, we deal with realizability, i.e., the question whether there exists an ADF that has a given set of interpretations as its semantics. We provide necessary and sufficient conditions that hold for a set of three-valued interpretations whenever there is an ADF realizing it under...

This paper compares the classical concept of assumed density lters (ADF) with a new class of approximate lters, the projection lters (PF). It is shown that the concept of ADF is inconsistent in the sense that the resulting lters vary according to the choice of a stochastic calculus, i.e. It^ o or McShane{Fisk{Stratonovich (MFS). The PF are based on the diierential geometric approach to statisti...

The aim of this study was to investigate the effects of actin depolymerizing factor (ADF)/destrin and position changes of kinetosomes in the development of hair cells following Atoh1-induced ectopic regeneration in the basilar membrane of mice. We observed through immunofluorescence at various time-points the expression of ADF/destrin and the specific kinetosome marker, γ-tubulin, in hair cells...

Actin-interacting protein 1 (AIP1) is a conserved WD-repeat protein that enhances actin filament disassembly only in the presence of actin depolymerizing factor (ADF)/cofilin. In the nematode Caenorhabditis elegans, an AIP1 ortholog is encoded by the unc-78 gene that is required for organized assembly of muscle actin filaments. We produced bacterially expressed UNC-78 protein and found that it ...

Caenorhabditis elegans is as an ideal model system for the study of mechanisms underlying learning and memory. In the present study, we employed C. elegans assay system of thermotaxis memory to investigate the possible role of serotonin neurotransmitter in memory control. Our data showed that both mutations of tph-1, bas-1, and cat-4 genes, required for serotonin synthesis, and mutations of mod...

Actin cytoskeletal reorganization is essential for tumor cell migration, adhesion, and invasion. Cofilin and actin-depolymerizing factor (ADF) act as key regulators of actin cytoskeletal dynamics by stimulating depolymerization and severing of actin filaments. Cofilin/ADF are inactivated by phosphorylation of Ser-3 by LIM kinase-1 (LIMK1) and reactivated by dephosphorylation by Slingshot-1 (SSH...

Covariance structure analysis is often used for inference and for dimension reduction with high dimensional data. When data is not normally distributed, the asymptotic distribution free (ADF) method is often used to t a proposed model. This approach uses a weight matrix based on the inverse of the matrix formed by the sample fourth moments and sample covariances. The ADF test statistic is asymp...