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Sensorineural hearing loss enhances auditory sensitivity and temporal integration for amplitude modulation.
Amplitude-modulation detection thresholds (AMDTs) were measured at 40âdB sensation level for listeners with mild-to-moderate sensorineural hearing loss (age: 50-64âyr) for a carrier frequency of 500âHz and rates of 2 and 20âHz. The number of modulation cycles, N, varied between two and nine. The data were compared with AMDTs measured for young and older normal-hearing listeners [Wallaert, Moore, and Lorenzi (2016). J. Acoust. Soc. Am. 139, 3088-3096]. As for normal-hearing listeners, AMDTs were lower for the 2-Hz than for the 20-Hz rate, and AMDTs decreased with increasing N. AMDTs were lower for hearing-impaired listeners than for normal-hearing listeners, and the effect of increasing N was greater for hearing-impaired listeners. A computational model based on the modulation-filterbank concept and a template-matching decision strategy was developed to account for the data. The psychophysical and simulation data suggest that the loss of amplitude compression in the impaired cochlea is mainly responsible for the enhanced sensitivity and temporal integration of temporal envelope cues found for hearing-impaired listeners. The data also suggest that, for AM detection, cochlear damage is associated with increased internal noise, but preserved short-term memory and decision mechanisms.N.W. was supported by a grant from Neurelec Oticon Medical. C.L. was supported by two grants from ANR (HEARFIN and HEART projects). S.D.E. was supported by Deutsche Forschungsgemeinschaft (DFG) FOR 1732 (TPE). B.C.J.M. was supported by the EPSRC (UK, grant RG78536). This work was also supported by ANR-11-0001-02 PSL* and ANR-10-LABX-0087. We thank Nihaad Paraouty and two anonymous reviewers for helpful comments and suggestions relating to this study
Modulation masking produced by second-order modulators
Recent studies suggest that an auditory nonlinearity converts second-order sinusoidal amplitude modulation (SAM) (i.e., modulation of SAM depth) into a first-order SAM component, which contributes to the perception of second-order SAM. However, conversion may also occur in other ways such as cochlear filtering. The present experiments explored the source of the first-order SAM component by investigating the ability to detect a 5-Hz, first-order SAM probe in the presence of a second-order SAM masker beating at the probe frequency. Detection performance was measured as a function of masker-carrier modulation frequency, phase relationship between the probe and masker modulator, and probe modulation depth. In experiment 1, the carrier was a 5-kHz sinusoid presented either alone or within a notched-noise masker in order to restrict off-frequency listening. In experiment 2, the carrier was a white noise. The data obtained in both carrier conditions are consistent with the existence of a modulation distortion component. However, the phase yielding poorest detection performance varied across experimental conditions between 0° and 180°, confirming that, in addition to nonlinear mechanisms, cochlear filtering and off-frequency listening play a role in second-order SAM perception. The estimated magnitude of the modulation distortion component ranges from 5%-12%
Anti-myeloperoxidase antibodies stimulate neutrophils to damage human endothelial cells
Anti-myeloperoxidase antibodies stimulate neutrophils to damage human endothelial cells. Anti-myeloperoxidase autoantibodies are found in association with idiopathic necrotizing glomerulonephritis and systemic vasculitis. It is not known if their presence is an epiphenomen or an integral part of the pathogenic process. To further delineate their hypothesized pathogenicity, we studied their ability to stimulate neutrophils to damage human umbilical vein endothelial cells in vitro. Anti-myeloperoxidase antibodies from human, rabbit and mouse sources were utilized. These antibodies stimulated neutrophils to damage endothelial cells as determined by 51Cr release. The effect was dependent on priming the neutrophils with tumor necrosis factor-α, and further enhanced with the addition of endotoxin. The amount of endothelial cell damage was dependent on the dose of anti-myeloperoxidase, the source of the neutrophils, the concentration of TNF, and the presence of endotoxin. Under identical conditions, control antibodies did not stimulate neutrophils to damage endothelial cells. The effect was confirmed by labeling the endothelial cells with 3H-adenine which yielded the same results. These results provide further in vitro evidence that anti-myeloperoxidase autoantibodies may play a significant role in the pathogenesis of idiopathic pauci-immune glomerulonephritis and vasculitis
Chronic obstructive pulmonary disease and related phenotypes:polygenic risk scores in population-based and case-control cohorts
The multiple faces of self-assembled lipidic systems
Lipids, the building blocks of cells, common to every living organisms, have the propensity to self-assemble into well-defined structures over short and long-range spatial scales. The driving forces have their roots mainly in the hydrophobic effect and electrostatic interactions. Membranes in lamellar phase are ubiquitous in cellular compartments and can phase-separate upon mixing lipids in different liquid-crystalline states. Hexagonal phases and especially cubic phases can be synthesized and observed in vivo as well. Membrane often closes up into a vesicle whose shape is determined by the interplay of curvature, area difference elasticity and line tension energies, and can adopt the form of a sphere, a tube, a prolate, a starfish and many more. Complexes made of lipids and polyelectrolytes or inorganic materials exhibit a rich diversity of structural morphologies due to additional interactions which become increasingly hard to track without the aid of suitable computer models. From the plasma membrane of archaebacteria to gene delivery, self-assembled lipidic systems have left their mark in cell biology and nanobiotechnology; however, the underlying physics is yet to be fully unraveled
Model-Driven Multidisciplinary Global Research to Meet Future Needs: The Case for âImproving Radiation Use Efficiency to Increase Yieldâ
International audienceImproving wheat (Triticum aestivum L.) yields to meet the projected demand for food in the future requires the talents of diverse scientists. In this article, we present the rationale for crop-model-driven, trait-focused collaborative research emphasizing radiation use efficiency (RUE). Improving RUE is one of the promising avenues to substantially increase potential yields. A collaboration of crop modelers, physiologists, geneticists, plant breeders, and system agronomists is proposed to efficiently create genetic improvements that, when taken to the field, will have regional and global yield impacts. The effort will require a large, internationally integrated science project and related infrastructure such as was recently developed in the Wheat Initiative. The Wheat Initiative is an international consortium of scientists and public and industry funders to sustainably improve global wheat production. The proposed integrated research is applicable to explore other traits and trait combinations and could become a model for yield improvements for major food crops