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An in vitro model is described for studying the interaction between lymphocytes and high-endothelial venules (HEV) of lymph nodes. Rat or mouse lymphocytes which were layered over fixed sections of syngeneic lymph nodes adhered selectively to the endothelium of HEV but did not bind to other vascular endothelia. Evidence is presented that adherence to HEV in(More)
For a mixture of target speech and noise in anechoic conditions, the ideal binary mask is defined as follows: It selects the time-frequency units where target energy exceeds noise energy by a certain local threshold and cancels the other units. In this study, the definition of the ideal binary mask is extended to reverberant conditions. Given the division(More)
Ideal binary masking is a signal processing technique that separates a desired signal from a mixture by retaining only the time-frequency units where the signal-to-noise ratio (SNR) exceeds a predetermined threshold. In reverberant conditions there are multiple possible definitions of the ideal binary mask in that one may choose to treat the target early(More)
Sound source localization from a binaural input is a challenging problem, particularly when multiple sources are active simultaneously and reverberation or background noise are present. In this work, we investigate a multi-source localization framework in which monaural source segregation is used as a mechanism to increase the robustness of azimuth(More)
Monaural musical sound separation has been extensively studied recently. An important problem in separation of pitched musical sounds is the estimation of time-frequency regions where harmonics overlap. In this paper, we propose a sinusoidal modeling-based separation system that can effectively resolve overlapping harmonics. Our strategy is based on the(More)
Taking advantage of a sporozoite challenge model established to evaluate the efficacy of new malaria vaccine candidates, we have explored the kinetics of systemic cytokine responses during the prepatent period of Plasmodium falciparum infection in 18 unvaccinated, previously malaria-naive subjects, using a highly sensitive, bead-based multiplex assay, and(More)
We propose an approach to binaural detection, localization and segregation of speech based on pitch and azimuth cues. We formulate the problem as a search through a multisource state space across time, where each multisource state encodes the number of active sources, and the azimuth and pitch of each active source. A set of multilayer perceptrons are(More)
USD (Unstructured Scientific Data) is a database system developed at Lawrence Livermore National Laboratory (LLNL) that provides database capabilities required when doing scientific research. USD is implemented in a version of EMACS Lisp that has been extended to include a relational database management system and graphical user interface primitives. It is(More)
Existing binaural approaches to speech segregation place an exclusive burden on cues related to the location of sound sources in space. These approaches can achieve excellent performance in anechoic conditions but degrade rapidly in realistic environments where room reverberation corrupts localization cues. In this paper, we propose to integrate monaural(More)
In mixtures of pitched sounds, the problem of overlapping harmonics poses a significant challenge to monaural musical sound separation systems. In this paper we present a new algorithm for sinusoidal parameter estimation of overlapping harmonics for pitched instruments. Our algorithm is based on the assumptions that harmonics of the same source have(More)