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The pseudorapidity distribution of charged hadrons produced in Au+Au collisions at a center-of-mass energy of $\\sqrt{{\\textrm{s}}_{\\textrm{NN}}}$ = 200 GeV is measured using data collected by the sPHENIX detector. Charged hadron yields are extracted by counting cluster pairs in the inner and outer layers of the Intermediate Silicon Tracker, with corrections applied for detector acceptance, reconstruction efficiency, combinatorial pairs, and contributions from secondary decays. The measured distributions cover |η| < 1.1 across various centralities, and the average pseudorapidity density of charged hadrons at mid-rapidity is compared to predictions from Monte Carlo heavy-ion event generators. This result, featuring full azimuthal coverage at mid-rapidity, is consistent with previous experimental measurements at the Relativistic Heavy Ion Collider, thereby supporting the broader sPHENIX physics program.

The pseudorapidity distribution of charged hadrons produced in Au+Au collisions at a center-of-mass energy of $$ \\sqrt{{\\textrm{s}}_{\\textrm{NN}}} $$ s NN = 200 GeV is measured using data collected by the sPHENIX detector. Charged hadron yields are extracted by counting cluster pairs in the inner and outer layers of the Intermediate Silicon Tracker, with corrections applied for detector acceptance, reconstruction efficiency, combinatorial pairs, and contributions from secondary decays. The measured distributions cover | η | < 1 . 1 across various centralities, and the average pseudorapidity density of charged hadrons at mid-rapidity is compared to predictions from Monte Carlo heavy-ion event generators. This result, featuring full azimuthal coverage at mid-rapidity, is consistent with previous experimental measurements at the Relativistic Heavy Ion Collider, thereby supporting the broader sPHENIX physics program.

A bstract The pseudorapidity distribution of charged hadrons produced in Au+Au collisions at a center-of-mass energy of s NN = 200 GeV is measured using data collected by the sPHENIX detector. Charged hadron yields are extracted by counting cluster pairs in the inner and outer layers of the Intermediate Silicon Tracker, with corrections applied for detector acceptance, reconstruction efficiency, combinatorial pairs, and contributions from secondary decays. The measured distributions cover | η | < 1 . 1 across various centralities, and the average pseudorapidity density of charged hadrons at mid-rapidity is compared to predictions from Monte Carlo heavy-ion event generators. This result, featuring full azimuthal coverage at mid-rapidity, is consistent with previous experimental measurements at the Relativistic Heavy Ion Collider, thereby supporting the broader sPHENIX physics program.

Abstract The pseudorapidity distribution of charged hadrons produced in Au+Au collisions at a center-of-mass energy of s NN $$ \\sqrt{{\\textrm{s}}_{\\textrm{NN}}} $$ = 200 GeV is measured using data collected by the sPHENIX detector. Charged hadron yields are extracted by counting cluster pairs in the inner and outer layers of the Intermediate Silicon Tracker, with corrections applied for detector acceptance, reconstruction efficiency, combinatorial pairs, and contributions from secondary decays. The measured distributions cover |η| < 1.1 across various centralities, and the average pseudorapidity density of charged hadrons at mid-rapidity is compared to predictions from Monte Carlo heavy-ion event generators. This result, featuring full azimuthal coverage at mid-rapidity, is consistent with previous experimental measurements at the Relativistic Heavy Ion Collider, thereby supporting the broader sPHENIX physics program.

Cultural variables are incorporated into a baseline endogenous economic growth model. Cultural attitudes toward achievement and thrift have a positive effect on economic growth. Cultural attitudes concerning postmaterialism have a negative effect on economic growth. Ordinary least squares regression is used to test economic and cultural models of growth on a cross section of 25 countries. The encompassing principle is used to resolve competing theoretical specifications and to generate a final parsimonious model. A variant of Leamer's Extreme Bounds Analysis (EBA) is used to evaluate the sensitivity of parameter estimates. The conclusions are further supported by nonparametric methods including robust regression and bootstrap resampling. The data for the analysis are from the World Values Survey (1990) and from Levine and Renelt (1992). An empirical model that incorporates both cultural and economic variables is superior to an explanation emphasizing one set of these variables. The final model is robust to: (1) alterations in the conditioning set of variables; (2) elimination of influential cases; and (3) variations in estimation procedures.

In finite samples, near-integrated data, widely thought to be stationary, mimic the same nonstationary data properties as integrated data. Regressing two independent and near-integrated series results in high false rejection rates of the null hypothesis (spurious regressions). Analytical derivations and numerical (Monte Carlo) analysis. We also extend the spurious regression test to actual data used in political science--macropartisanship--and a simulated near-integrated series. False rejection of the null hypothesis is comparable to the integrated case (Granger and Newbold 1974). In addition, solutions to the spurious regression problem apply with equal force to the near-integrated situation.

Granato, Inglehart, and Leblang respond to criticism of their work by Robert W. Jackman, Ross A. Miller, and Duane Swank. Jackman and Miller's argument that measuring the stability of democracy is impossible is convincing only if one adheres to a simplistic, unidimensional concept of democracy.