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The article focuses on and its relationship with political scientists. Topics discussed include views of John Gunnell, professor of political science, on debates on political identity and methodological diversity reflecting history of discipline, inability of political scientists to embrace behavioral observation like system analysis and game theory and need of civic education in political scientists with support from the American Political Science Association (ASPA).

Focuses on the topic of stereotype threat effects in employment settings introduced in the July 1, 2003 issue of the periodical 'Human Performance.' Absence of evidence of differences in mean cognitive ability test performance between majority group job applicants and applicants from minority groups; Contributions of authors on the topic.

Editorial. Focuses on the assumption of the editorship of the book 'Human Performance' by the author. Views on former editor Joyce Hogan; Suggestion of Hogan to the publication of a special issue; Encouragement to authors in all geographic regions and data collected around the globe.

Focuses on the September 1992 issue of the 'French Historical Studies' journal. Transition to new editorial team; Improvement of periodical.

The three-dimensional distribution of the Ly  α forest has been extensively used to constrain cosmology through measurements of the baryon acoustic oscillations (BAO) scale. However, more cosmological information could be extracted from the full shapes of the Ly  α forest correlations through the Alcock–Paczyński (AP) effect. In this work, we prepare for a cosmological analysis of the full shape of the Ly  α forest correlations by studying synthetic data of the extended Baryon Oscillation Spectroscopic Survey (eBOSS). We use a set of 100 eBOSS synthetic data sets in order to validate such an analysis. These mocks undergo the same analysis process as the real data. We perform a full-shape analysis on the mean of the correlation functions measured from the 100 eBOSS realizations, and find that our model of the Ly  α correlations performs well on current data sets. We show that we are able to obtain an unbiased full-shape measurement of D M/ D H(z eff), where D M is the transverse comoving distance, D H is the Hubble distance, and z eff is the effective redshift of the measurement. We test the fit over a range of scales, and decide to use a minimum separation of r min = 25 h −1Mpc. We also study and discuss the impact of the main contaminants affecting Ly  α forest correlations, and give recommendations on how to perform such analysis with real data. While the final eBOSS Ly  α BAO analysis measured D M/ D H(z eff = 2.33) with 4  per cent statistical precision, a full-shape fit of the same correlations could provide an |$\sim 2~{{\ \rm per\ cent}}$| measurement. [ABSTRACT FROM AUTHOR]