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Nicholas Dias on Muck Rack

Nicholas Dias

Philadelphia
As seen in: Color Research & Application, Political Science Research and Methods (PSRM), MDPI, Columbia Journalism Review, First Draft, Groundviews
@Penn PhD candidate interested in how citizens think about public policy

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Nicholas Dias’s Journalist Portfolio

Data Samples from Nicholas Dias

Data Samples from Nicholas Dias

It is no secret that females have made groundbreaking headway in closing sex gaps - and then some ­- in Unite…

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Articles

Beyond the mean: how thinking about the distribution of public opinions reduces politicians’ perceptual errors

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By Nicholas Dias, Jack Lucas, Lior Sheffer
| Political Science Research and Methods (PSRM)
1. Introduction In representative democracies, elected officials are expected to enact public policies that reflect their constituents’ preferences.
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Does Muscle Pain Induce Alterations in the Pelvic Floor Motor Unit Activity Properties in Interstitial Cystitis/Bladder Pain Syndrome? A High-Density sEMG-Based Study

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By Monica Albaladejo-Belmonte, Michael Houston, Nicholas Dias, Theresa Spitznagle
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Efficacy of High-Definition Transcranial Alternating Current Stimulation (HD-tACS) at the M1 Hotspot Versus C3 Site in Modulating Corticospinal Tract Excitability

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By Michael Houston, Nicholas Dias, Chen Guo, Gerard E Francisco
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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