America is in the midst of an extraordinary public debate about police policy. “Conflicted conservatives,” who are symbolically conservative but operationally liberal, may have a disproportionate ...influence on policy making. Specifically, conflicted conservatives may be more likely to vote across party lines because they attend more to utilitarian concerns about social conditions and government performance than to symbolic issues. Prior criminological research, however, typically has treated conservatives as a homogenous group. We use data from the General Social Survey to explore the extent and correlates of global and situational support for police use of force among conflicted conservatives and other political groups. The findings from logistic regression models estimated with two analytic samples (N = 11,119 and 2,069) indicate that conflicted conservatives’ attitudes about police use of force are distinct from those of “consistent conservatives” who are both symbolically and operationally conservative, but do not reflect a unique consideration of utilitarian concerns over symbolic beliefs. Two other notable findings emerged: 1) Racial attitudes predicted support for police use of excessive force invariably across political groups and 2) public support for excessive force increased substantially during the first decade of the twenty‐first century, sharply contrasting trends in general punitive sentiment.
Vaccine hesitancy remains an issue in the United States. This study conducted an online survey N = 3,013 using the Social Science Research Solution SSRS Opinion Panel web panelists, representative of ...U.S. adults age 18 and older who use the internet, with an oversample of rural-dwelling and minority populations between April 8 and April 22, 2021- as vaccine eligibility opened to the country. We examined the relationship between COVID-19 exposure and socio-demographics with vaccine intentions eager-to-take, wait-and-see, undecided, refuse among the unvaccinated using multinomial logistic regressions ref: fully/partially vaccinated. Results showed vaccine intentions varied by demographic characteristics and COVID-19 experience during the period that eligibility for the vaccine was extended to all adults. At the time of the survey approximately 40% of respondents were unvaccinated; 41% knew someone who had died of COVID-19, and 38% had experienced financial hardship as a result of the pandemic. The vaccinated were more likely to be highly educated, older adults, consistent with the United States initial eligibility criteria. Political affiliation and financial hardship experienced during the pandemic were the two most salient factors associated with being undecided or unwilling to take the vaccine.
Abstract
We present the analysis of simultaneous Nuclear Spectroscopic Telescope Array (NuSTAR) and XMM-Newton data of eight Compton-thick active galactic nuclei (CT-AGN) candidates selected in the ...Swift-BAT 100 month catalog. This work is part of an ongoing effort to find and characterize all CT-AGN in the Local (
z
≤ 0.05) Universe. We used two physically motivated models,
MYTorus
and
borus02
, to characterize the sources in the sample, finding five of them to be confirmed CT-AGN. These results represent an increase of ∼19% over the previous NuSTAR-confirmed, BAT-selected CT-AGN at
z
≤ 0.05, bringing the total number to 32. This corresponds to an observed fraction of ∼8% of all AGN within this volume-limited sample, although it increases to 20% ± 5% when limiting the sample to
z
≤ 0.01. Out of a sample of 48 CT-AGN candidates, selected using BAT and soft (0.3−10 keV) X-ray data, only 24 are confirmed as CT-AGN with the addition of the NuSTAR data. This highlights the importance of NuSTAR when classifying local obscured AGN. We also note that most of the sources in our full sample of 48 Seyfert 2 galaxies with NuSTAR data have significantly different lines of sight and average torus column densities, favoring a patchy torus scenario.
Computational models are powerful tools for exploring the properties of complex biological systems. In neuroscience, data-driven models of neural circuits that span multiple scales are increasingly ...being used to understand brain function in health and disease. But their adoption and reuse has been limited by the specialist knowledge required to evaluate and use them. To address this, we have developed Open Source Brain, a platform for sharing, viewing, analyzing, and simulating standardized models from different brain regions and species. Model structure and parameters can be automatically visualized and their dynamical properties explored through browser-based simulations. Infrastructure and tools for collaborative interaction, development, and testing are also provided. We demonstrate how existing components can be reused by constructing new models of inhibition-stabilized cortical networks that match recent experimental results. These features of Open Source Brain improve the accessibility, transparency, and reproducibility of models and facilitate their reuse by the wider community.
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•Open Source Brain: an online resource of standardized models of neurons and circuits•Automated 3D visualization, analysis, and simulation of models through the browser•Open source infrastructure and tools for collaborative model development and testing•Accessible, transparent, up-to-date models from different brain regions
Open Source Brain is an online resource of neuronal and circuit models that enables browser-based visualization, analysis, and simulation. Gleeson et al. describe how the resource and tools for collaborative model development provide accessible, up-to-date models from different brain regions.
A Commitment to Open Source in Neuroscience Gleeson, Padraig; Davison, Andrew P.; Silver, R. Angus ...
Neuron (Cambridge, Mass.),
12/2017, Letnik:
96, Številka:
5
Journal Article
Recenzirano
Odprti dostop
Modern neuroscience increasingly relies on custom-developed software, but much of this is not being made available to the wider community. A group of researchers are pledging to make code they ...produce for data analysis and modeling open source, and are actively encouraging their colleagues to follow suit.
Should custom software that is essential to reproducing results of publications be publicly released? Arguing that it must, Gleeson et al. have, together with other researchers, signed a commitment to releasing their code and will ask the same upon peer review.
The obscuration observed in active galactic nuclei (AGNs) is mainly caused by dust and gas distributed in a torus-like structure surrounding the supermassive black hole. However, the properties of ...the obscuring torus of an AGN in X-ray have not yet been fully investigated because of a lack of high-quality data and proper models. In this work, we perform a broadband X-ray spectral analysis of a large, unbiased sample of obscured AGNs (with line-of-sight column density 23 ≤ log(
N
H
) ≤ 24) in the nearby Universe for which high-quality archival
NuSTAR
data are available. We analyzed the source spectra using the recently developed
borus02
model, which enables us to accurately characterize the physical and geometrical properties of AGN-obscuring tori. We compare our results obtained from the unbiased Compton-thin AGNs with those of Compton-thick AGNs. We find that Compton-thin and Compton-thick AGNs may possess similar tori, whose average column density is Compton thick (
N
H, tor, ave
≈ 1.4 × 10
24
cm
−2
), but they are observed through different (under-dense or over-dense) regions of the tori. We also find that the obscuring torus medium is significantly inhomogeneous, with the torus average column densities being significantly different from their line-of-sight column densities (for most of the sources in the sample). The average torus covering factor of sources in our unbiased sample is
c
f
= 0.67, suggesting that the fraction of unobscured AGNs is ∼33%. We developed a new method to measure the intrinsic line-of-sight column density distribution of AGNs in the nearby Universe, and find the results to be in good agreement with constraints from recent population synthesis models.
Young people are told that college is a place where they will "find themselves" by engaging with diversity and making friendships that will last a lifetime. This vision of an inclusive, diverse ...social experience is a fundamental part of the image colleges sell potential students. But what really happens when students arrive on campus and enter this new social world? "The Cost of Inclusion" delves into this rich moment to explore the ways students seek out a sense of belonging and the sacrifices they make to fit in. Blake R. Silver spent a year immersed in student life at a large public university. He trained with the Cardio Club, hung out with the Learning Community, and hosted service events with the Volunteer Collective. Through these day-to-day interactions, he witnessed how students sought belonging and built their social worlds on campus. Over time, Silver realized that these students only achieved inclusion at significant cost. To fit in among new peers, they clung to or were pushed into raced and gendered cultural assumptions about behavior, becoming "the cool guy," "the nice girl," "the funny one," "the leader," "the intellectual," or "the mom of the group." Instead of developing dynamic identities, they crafted and adhered to a cookie-cutter self, one that was rigid and two-dimensional. Silver found that these students were ill-prepared for the challenges of a diverse college campus, and that they had little guidance from their university on how to navigate the trials of social engagement or the pressures to conform. While colleges are focused on increasing the diversity of their enrolled student body, Silver's findings show that they need to take a hard look at how they are failing to support inclusion once students arrive on campus.
Neuronal gain control is important for processing information in the brain. Shunting inhibition is not thought to control gain since it shifts input-output relationships during tonic excitation ...rather than changing their slope. Here we show that tonic inhibition reduces the gain and shifts the offset of cerebellar granule cell input-output relationships during frequency-dependent excitation with synaptic conductance waveforms. Shunting inhibition scales subthreshold voltage, increasing the excitation frequency required to attain a particular firing rate. This reduces gain because frequency-dependent increases in input variability, which couple mean subthreshold voltage to firing rate, boost voltage fluctuations during inhibition. Moreover, synaptic time course and the number of inputs also influence gain changes by setting excitation variability. Our results suggest that shunting inhibition can multiplicatively scale rate-coded information in neurons with high-variability synaptic inputs.
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