Visual search performance is predicted by both prestimulus and poststimulus electrical brain activity

© The Author(s) 2016. An individual's performance on cognitive and perceptual tasks varies considerably across time and circumstances. We investigated neural mechanisms underlying such performance variability using regression-based analyses to examine trial-by-trial relationships between response times (RTs) and different facets of electrical brain activity. Thirteen participants trained five days on a color-popout visual-search task, with EEG recorded on days one and five. The task was to find a color-popout target ellipse in a briefly presented array of ellipses and discriminate its orientation. Later within a session, better preparatory attention (reflected by less prestimulus Alpha-band oscillatory activity) and better poststimulus early visual responses (reflected by larger sensory N1 waves) correlated with faster RTs. However, N1 amplitudes decreased by half throughout each session, suggesting adoption of a more efficient search strategy within a session. Additionally, fast RTs were preceded by earlier and larger lateralized N2pc waves, reflecting faster and stronger attentional orienting to the targets. Finally, SPCN waves associated with target-orientation discrimination were smaller for fast RTs in the first but not the fifth session, suggesting optimization with practice. Collectively, these results delineate variations in visual search processes that change over an experimental session, while also pointing to cortical mechanisms underlying performance in visual search

Combinatorial hydrogel library enables identification of materials that mitigate the foreign body response in primates

The foreign body response is an immune-mediated reaction that can lead to the failure of implanted medical devices and discomfort for the recipient. There is a critical need for biomaterials that overcome this key challenge in the development of medical devices. Here we use a combinatorial approach for covalent chemical modification to generate a large library of variants of one of the most widely used hydrogel biomaterials, alginate. We evaluated the materials in vivo and identified three triazole-containing analogs that substantially reduce foreign body reactions in both rodents and, for at least 6 months, in non-human primates. The distribution of the triazole modification creates a unique hydrogel surface that inhibits recognition by macrophages and fibrous deposition. In addition to the utility of the compounds reported here, our approach may enable the discovery of other materials that mitigate the foreign body response.Leona M. and Harry B. Helmsley Charitable Trust (3-SRA-2014-285-M-R)United States. National Institutes of Health (EB000244)United States. National Institutes of Health (EB000351)United States. National Institutes of Health (DE013023)United States. National Institutes of Health (CA151884)United States. National Institutes of Health (P41EB015871-27)National Cancer Institute (U.S.) (P30-CA14051

Micromilling of coarse-grained and ultrafine-grained Cu99.9E: Effects of material microstructure on machining conditions and surface quality

This paper investigates the machining response of metallurgically and mechanically modified materials, in particular, coarse-grained (CG) Cu99.9E, with an average grain size of 30 µm and ultrafine-grained (UFG) Cu99.9E, with an average grain size of 200 nm, produced by Equal-Channel Angular Pressing (ECAP). A novel high-precision method for assessing the homogeneity of the material microstructure is proposed based on Atomic Force Microscope (AFM) measurements of the coefficient of friction at the atomic scale, enabling the prediction of the minimum chip thickness of the individual grains inside the bulk. The investigation has shown that by refining the material microstructure, the minimum chip thickness has been reduced and a high surface finish can be achieved. Also, the homogeneity of the material microstructure and the resulting surface quality have been improved

Using cell size kinetics to determine optimal harvest time for Spodoptera frugiperda and Trichoplusia ni BTI-TN-5B1-4 cells infected with a baculovirus expression vector system expressing enhanced green fluorescent protein

Infecting insect cells with a baculovirus expression vector system (BEVS) is an increasingly popular method for the production of recombinant proteins. Due to the lytic nature of the system, however, determining the optimal harvest time is critical for maximizing protein yield. We found that measuring the change in average diameter during the progress of infection with an automated cell analysis system (Cedex HiRes, Innovatis AG) could be used to determine the time of maximum protein production and, thus, optimal harvest time. As a model system, we use insect cells infected with a baculovirus expressing enhanced green fluorescent protein (EGFP). We infected two commonly used insect cell lines, Spodoptera frugiperda (Sf-9) and Trichoplusia ni BTI-TN-5B1-4 (Hi5) with an Autographa californica nuclear polyhedrosis virus (AcNPV) encoding EGFP at various multiplicities of infection (MOI). We monitored the progress of infection with regard to viability, viable cell density and change in average cell diameter with a Cedex HiRes analyzer and compared the results to the EGFP produced. Peak protein production was reached one to two days after the point of maximum average diameter in all conditions. Thus, optimal harvest time could be determined by monitoring the change in average cell diameter during the course of an infection of a cell culture