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We present here a massively parallel implementation of the recently developed CPS(D-3) excitation energy model that is based on cluster perturbation theory. The new algorithm extends the one developed in Baudin et al. [J. Chem. Phys., 150, 134110 (2019)] to leverage multiple nodes and utilize graphical processing units for the acceleration of heavy tensor contractions. Furthermore, we show that the extended algorithm scales efficiently with increasing amounts of computational resources and that the developed code enables CPS(D-3) excitation energy calculations on large molecular systems with a low time-to-solution. More specifically, calculations on systems with over 100 atoms and 1000 basis functions are possible in a few hours of wall clock time. This establishes CPS(D-3) excitation energies as a computationally efficient alternative to those obtained from the coupled-cluster singles and doubles model.

This study investigated whether perspective-taking reduces belief bias independently of argument strength. Belief bias occurs when individuals evaluate belief-consistent arguments more favourably than belief-inconsistent arguments. Undergraduates (n = 93) read arguments that varied with respect to belief-consistency (i.e., belief-consistent or belief-inconsistent) and strength (i.e., strong or weak) about the topic of climate change. After participants read each argument, those in the perspective-taking condition rated the argument's strength from a perspective of a climate scientist and then from their own perspectives, whereas those in the no perspective-taking condition only rated the arguments from their own perspectives. Perspective-taking eliminated belief bias for weak arguments, but not for strong arguments. Theoretical and practical implications of the results are discussed, and directions for future research are provided.

This mixed methods study investigated high school students’ evaluations of scientific arguments. Myside bias occurs when individuals evaluate belief-consistent information more favorably than belief-inconsistent information. In the quantitative phase, participants (n = 72 males) rated belief-consistent arguments more favorably than belief-inconsistent arguments; however, they also rated strong arguments more favorably than weak arguments, which indicated they did not evaluate the arguments exclusively on whether they were belief-consistent. In the follow-up qualitative phase, we conducted interviews with purposefully-sampled students who showed either higher or lower levels of myside bias. Results indicated that students in both groups applied normative evaluation criteria to the arguments. However, students who showed little or no myside bias applied the same evaluation criteria to arguments independent of whether they were belief-consistent, whereas students who showed high levels of myside bias applied different evaluation criteria to belief-inconsistent arguments. These findings suggest that procedural and conceptual metacognition may play a role in the extent to which individuals reason independent of their beliefs.

Foreword by Dianne Otto Acknowledgements Introduction: Discontenting Feminism SECTION I: A FEMINIST PROJECT: THE RIGHTS AND WRONGS OF FEMINIST POLITICAL ENGAGEMENT 1.Feminism in Hard Times: From Criticism to Critique Brenda Cossman 2.Slutwalk Couture : The Politics of Feminism LiteRatna Kapur 3.Out in the World: Multi-Level Governance for Gender Equality Kerry Rittich 4 Neoliberal Governmentality and the Retreat from Gender EqualityMargaret Thornton 5.Normativity, Power and Feminist Politics: Some Questions for Indian Feminism/sLakshmi Arya SECTION II: FEMINISM AND OTHER IDENTITY CATEGORIES: BEYOND GENDER 6.A Genealogy of the Convention on the Rights of the Child Ashleigh Barnes 7.Icons and Measures: (Re)presenting Victims in Truth Commission Processes Vasuki Nesiah 8. Postcolonial Feminism: Liberal Feminism's (Humanist) 'Sister'? Maneesha Deckha 9.When Men Are Harmed: Feminism, Queer Theory, and Torture at Abu Ghraib Aziza Ahmed 10.Queering Democracy: The Politics of Erotic Love Arvind Narrain Index