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We report on the W and Z/γ∗ differential and total cross sections as well as the W+/W− and (W++W−)/(Z/γ∗) cross section ratios measured by the STAR experiment at RHIC in p+p collisions at √s=500 GeV and 510 GeV. The cross sections and their ratios are sensitive to quark and antiquark parton distribution functions. In particular, at leading order, the W cross section ratio is sensitive to the ¯d/¯u ratio. These measurements were taken at high Q2∼M2W,M2Z and can serve as input into global analyses to provide constraints on the sea quark distributions. The results presented here combine three STAR datasets from 2011, 2012, and 2013, accumulating an integrated luminosity of 350 pb−1. We also assess the expected impact that our W+/W− cross section ratios will have on various quark distributions, and find sensitivity to the ¯u−¯d and ¯d/¯u distributions.
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Nonmonotonic variation with collision energy (sNN) of the moments of the net-baryon number distribution in heavy-ion collisions, related to the correlation length and the susceptibilities of the system, is suggested as a signature for the quantum chromodynamics critical point. We report the first evidence of a nonmonotonic variation in the kurtosis times variance of the net-proton number (proxy for net-baryon number) distribution as a function of sNN with 3.1 σ significance for head-on (central) gold-on-gold (Au+Au) collisions measured solenoidal tracker at Relativistic Heavy Ion Collider. Data in noncentral Au+Au collisions and models of heavy-ion collisions without a critical point show a monotonic variation as a function of sNN. © 2021 American Physical Society.
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Purpose: Given that many consumers are skeptical about environmentally based advertising campaigns, the purpose of this study is to propose an optimized message strategy to facilitate consumer engagement with green messages in social media contexts. Design/methodology/approach: Four empirical studies are conducted using self-report questionnaires to test proposed hypotheses with a focus on the interplay between claim specificity and benefit appeals in green advertising on social media. Findings: The current study examines the interaction effects of claim specificity and benefit appeals on consumer engagement in social media. Specifically, the results reveal that when the message claim is abstract, using other-benefit appeals produces more positive consumer engagement than using self-benefit appeals. Moreover, the results illustrate that self-enhancement motivates consumers to engage with green product advertising messages when the advertising appeal is abstract and the advertising message is associated with benefits for others. Finally, it is found that consumers’ self-construal level moderates the interaction effect of claim specificity and benefit appeals type on consumer engagement on social media. Practical implications: This paper has practical implications to both social media managers and advertisers in the green product industry: a match with advertising claim specificity and construal level (i.e. social distance: self-benefit vs other-benefit) should be ensured to increase consumer engagement on social media. In addition, self-enhancement and self-construal should be considered for a better message strategy in social media contexts. Originality/value: The findings make important contributions to the literature in that we extend the applications of construal level theory to social media contexts as a valid theoretical tool to identify optimized green message strategies. As such, it provides future researchers and practitioners in the domain of green campaigns with useful guidelines to boost more consumption of green products. © 2020, Emerald Publishing Limited.
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Large number of promising preclinical psychiatric studies in rodents later fail in clinical trials, raising concerns about the efficacy of this approach to generate novel pharmacological interventions. In this mini-review we argue that over-reliance on behavioral tests that are brief and highly sensitive to external factors play a critical role in this failure and propose that automated home-cage monitoring offers several advantages that will increase the translational utility of preclinical psychiatric research in rodents. We describe three of the most commonly used approaches for automated home cage monitoring in rodents [e.g., operant wall systems (OWS), computerized visual systems (CVS), and automatic motion sensors (AMS)] and review several commercially available systems that integrate the different approaches. Specific examples that demonstrate the advantages of automated home-cage monitoring over traditional tests of anxiety, depression, cognition, and addiction-like behaviors are highlighted. We conclude with recommendations on how to further expand this promising line of preclinical research. Copyright © 2020 Mingrone, Kaffman and Kaffman.
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