990 research outputs found

    Large Scale Structure in CHILES

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    We demonstrate that the Discrete Persistent Source Extractor (DisPerSE) can be used with spectroscopic redshifts to define the cosmic web and its distance to galaxies in small area deepfields. Here we analyze the use of DisPerSE to identify structure in observational data. We apply DisPerSE to the distribution of galaxies in the COSMOS field and find the best parameters to identify filaments. We compile a catalog of 11500 spectroscopic redshifts from the Galaxy and Mass Assembly (GAMA) G10 data release. We analyze two-dimensional slices, extract filaments and calculate the distance for each galaxy to its nearest filament. We find that redder and more massive galaxies are closer to filaments. To study the growth of galaxies across cosmic time, and environment, we are carrying out an HI survey covering redshifts z = 0 - 0.45, the COSMOS HI Large Extragalactic Survey (CHILES). In addition we present the predicted HI mass fraction as a function of distance to filaments for the spectroscopically known galaxies in CHILES. Lastly, we discuss the cold gas morphology of a few individual galaxies and their positions with respect to the cosmic web. The identification of the cosmic web, and the ability of CHILES to study the resolved neutral hydrogen morphologies and kinematics of galaxies, will allow future studies of the properties of neutral hydrogen in different cosmic web environments across the redshift range z = 0.1 - 0.45.Comment: Accepted for publication in the Astronomical Journal; 11 pages ; 8 figure

    Extremely Sub-wavelength Planar Magnetic Metamaterials

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    We present highly sub-wavelength magnetic metamaterials designed for operation at radio frequencies (RFs). A dual layer design consisting of independent planar spiral elements enables experimental demonstration of a unit cell size (a) that is ~ 700 times smaller than the resonant wavelength ({\lambda}0). Simulations indicate that utilization of a conductive via to connect spiral layers permits further optimization and we achieve a unit cell that is {\lambda}0/a ~ 2000. Magnetic metamaterials are characterized by a novel time domain method which permits determination of the complex magnetic response. Numerical simulations are performed to support experimental data and we find excellent agreement. These new designs make metamaterial low frequency experimental investigations practical and suggest their use for study of magneto-inductive waves, levitation, and further enable potential RF applications.Comment: 5 pages, 4 figure

    Self-Control of Avoidance Motivation: Implications for Understanding Frontal Cortical Asymmetry

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    Self-control involves the inhibition of dominant response tendencies. Most research on self-control has examined the inhibition of approach-motivated tendencies, and previous research has found that right frontal cortical asymmetry facilitates the inhibition of approach-motivated behaviors. The current experiments tested the hypothesis that a manipulated increase in right frontal cortical asymmetry facilitates the inhibition of avoidance-motivated responses. In Experiment 1, participants used a joystick to pull neutral images toward and push threatening images away from the body and then received 15 minutes of transcranial direct current stimulation. Afterward participants pulled threatening images toward and pushed neutral images away from the body. This response required self-control insofar as pushing away (not pulling) threatening stimuli is the dominant response tendency. Stimulation to increase right frontal cortical asymmetry caused threats to be pulled toward the body faster. A second Experiment, using the same task as Experiment 1, directly compared the self-control of approach and avoidance impulses. Results revealed that stimulation to increase right frontal asymmetry facilitated the self-control of impulses regardless of their motivational direction, representing first evidence that inhibiting avoidance-motivated behaviors shares a common neural mechanism with inhibiting approach-related behaviors: right frontal cortical asymmetry

    Thinking about Death Reduces Delay Discounting

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    Experiencing gender in UK political science:The results of a practitioner survey

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    Does gender matter in the way in which we ‘perform’ academia? Drawing on the results of a practitioner survey, we argue that gender does matter, culturally and structurally, and can be institutionalised so that women are disadvantaged. This is not to deny women’s agency or the advances that they have made. Rather, we highlight the inequality of the playing field in which the academic endeavour is conducted. Uniquely, we ask UK political scientists about their perceptions of the impact of gender in their working lives and explore their views on recommendations for change

    Test-retest reliability of spectral parameterization by 1/f characterization using SpecParam

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    SpecParam (formally known as FOOOF) allows for the refined measurements of electroencephalography periodic and aperiodic activity, and potentially provides a non-invasive measurement of excitation: inhibition balance. However, little is known about the psychometric properties of this technique. This is integral for understanding the usefulness of SpecParam as a tool to determine differences in measurements of cognitive function, and electroencephalography activity. We used intraclass correlation coefficients to examine the test-retest reliability of parameterized activity across three sessions (90 minutes apart and 30 days later) in 49 healthy young adults at rest with eyes open, eyes closed, and during three eyes closed cognitive tasks including subtraction (Math), music recall (Music), and episodic memory (Memory). Intraclass correlation coefficients were good for the aperiodic exponent and offset (intraclass correlation coefficients &gt; 0.70) and parameterized periodic activity (intraclass correlation coefficients &gt; 0.66 for alpha and beta power, central frequency, and bandwidth) across conditions. Across all three sessions, SpecParam performed poorly in eyes open (40% of participants had poor fits over non-central sites) and had poor test-retest reliability for parameterized periodic activity. SpecParam mostly provides reliable metrics of individual differences in parameterized neural activity. More work is needed to understand the suitability of eyes open resting data for parameterization using SpecParam.</p

    Molecular tools to support metabolic and immune function research in the Guinea Fowl (Numida meleagris)

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    Background Guinea fowl (Numidia meleagris) production as an alternative source of meat and poultry has shown potential for economic viability. However, there has been little progress in characterizing the transcriptome of the guinea fowl. In this study RNA-sequencing and de novo transcriptome assembly of several Guinea fowl tissues (pancreas, hypothalamus, liver, bone marrow and bursa) which play key roles in regulating feed intake, satiety, and immune function was performed using Illumina’s Hi-Seq 2000. Results 74 million sequences were generated and assembled into 96,492 contigs using the Trinity software suite. Over 39,000 of these transcripts were found to have in silico translated protein sequences that are homologous to chicken protein sequences. Gene ontology analysis uncovered 416 transcripts with metabolic functions and 703 with immune function. Conclusion The transcriptome information presented here will support the development of molecular approaches to improve production efficiency of the guinea fowl and other avian species
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