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13. COVID-19 stressors and health behaviors: A multilevel longitudinal study across 86 countries

14. Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data

15. Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic

16. Concern with COVID-19 pandemic threat and attitudes towards immigrants: The mediating effect of the desire for tightness

18. Negative views of out-groups and emotion regulation strategies: Evidence for an association with the tendency to suppress emotion expression, but not with cognitive reappraisal or emotion dysregulation

24. Intergenerational conflicts of interest and prosocial behavior during the COVID-19 pandemic

25. A 2-week high-intensity interval training intervention improves ejaculation control among men with premature ejaculation

26. An Agent-Based Model of Sex and Sexual Orientation Differences in Short-Term Mating Behaviors as a Result of Mating Preferences.

27. Eyewitness identifications based on biased or unbiased line‐up instructions after a realistic and violent hostage simulation.

31. Conceptual replication and extension of health behavior theories' predictions in the context of COVID‐19: Evidence across countries and over time

34. Lives versus Livelihoods? Perceived economic risk has a stronger association with support for COVID-19 preventive measures than perceived health risk

35. Effects of Ginger on Disgust, Sexual Arousal, and Sexual Engagement: A Placebo-Controlled Experiment.

36. Avatars with child sexual abuse (vs. no abuse) scenarios elicit different emotional reactions.

38. White Paper on Forensic Child Interviewing: Research-based recommendations by the European Association of Psychology and Law

45. Investigating the Role of Salivary Cortisol on Vocal Symptoms

46. Associations between Vocal Symptoms and Genetic Variants in the Oxytocin Receptor and Arginine Vasopressin 1A Receptor Gene

50. Identifying important individual‐ and country‐level predictors of conspiracy theorizing: A machine learning analysis

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