Results 141 to 150 of about 1,886 (227)

Optimal physical activity type and dosage for improving inhibitory control in children and adolescents: a dose-response network meta-analysis. [PDF]

Front Psychol
Wang J, Zheng Z, Zhou Z, Li M.
europepmc   +1 more source

Interpersonal emotion regulation and team effectiveness: A multilevel mediation and a team variation model

Journal of Occupational and Organizational Psychology, Volume 99, Issue 2, June 2026.
Abstract This study examines how team interpersonal emotion regulation (IER) shapes teamwork processes and outcomes. Although the influence of IER in dyadic relationships is well established, its understanding as a collective team‐level phenomenon remains unexplored.
Cristian A. Vasquez, David Holman, Robin Martin   +2 more
wiley   +1 more source

Evaluating Synthetic Cyber Deception Strategies Under Uncertainty via Game Theory Approach: Linking Information Leakage and Game Outcomes in Cyber Deception. [PDF]

Sensors (Basel)
Shahin M, Maghanaki M, Chen FF.
europepmc   +1 more source

Split the Budget Surplus: Towards a Second Best Mechanism for a Discrete Public Good Under Private Information

Journal of Public Economic Theory, Volume 28, Issue 3, June 2026.
ABSTRACT We propose and study the following mechanism: Agents simultaneously make contributions. If the total contribution is below the cost, contributions are refunded; otherwise the public good is provided and budget surplus, if there is any, is shared equally among the agents.
Licun Xue
wiley   +1 more source

A network meta-analysis of pedagogical models in physical education: evaluating multidimensional learning outcomes and instructional duration effects. [PDF]

Front Psychol
Jingxia G, Qichao Y, Malik ZBA.
europepmc   +1 more source

A Hierarchical Bayesian Dynamic Game for Competitive Inventory and Pricing under Incomplete Information: Learning, Credible Risk, and Equilibrium

We develop a hierarchical Bayesian dynamic game for competitive inventory and pricing under incomplete information. Two firms repeatedly choose order quantities and prices while facing two layers of uncertainty: unknown market demand and private rival characteristics. The framework combines Bayesian learning about demand and substitution with strategic
openaire   +2 more sources

Potential Surprise Theory as a Practical and Theoretical Cornerstone of the Uncertainty‐Based Perspective on Risk

Risk Analysis, Volume 46, Issue 6, June 2026.
ABSTRACT From all the knowledge that would emerge as relevant to it over infinite time, a risk analysis must be based on the cross‐section available at its undertaking. This creates a knowledge gap, which can lead to surprises. To address a similar problem in economic decision‐making, G. L. S. Shackle developed potential surprise theory (PST).
James Derbyshire
wiley   +1 more source

The Role of Reinforcement Learning in Pragmatic Reasoning Tasks: Modeling and Validating the Sources of Individual Differences. [PDF]

Open Mind (Camb)
Duff J, Mayn A, Demberg V.
europepmc   +1 more source

Redesigning Risk Assessments in the Age of AI: Emergence of the Opacity Risk Dimension

Risk Analysis, Volume 46, Issue 6, June 2026.
ABSTRACT The foundational instruments of organizational risk analysis, most notably the two‐dimensional Impact × Probability matrix, were designed for failures in traditional and predictable systems. As such, they are ill‐equipped to address the unpredictability and complexity that define modern artificial intelligence.
Helmi Issa
wiley   +1 more source

Virtual Reality-Delivered Exposure for Contamination Concerns in Adults With Obsessive-Compulsive Symptoms: Single-Arm Pilot Study. [PDF]

JMIR Serious Games
Caltabiano A, Voruganti A, Nesi J, Krebs G, Burke T, Di Simplicio M, van Zalk N.   +6 more
europepmc   +1 more source