Independent and Interactive Impacts of Prenatal Exposure to Legal Substances and Childhood Trauma on Emotion Processing in Pre-Adolescents: Preliminary Findings From the ABCD Study.

Objective: This paper investigated the effects of prenatal drug exposure (PDE), childhood trauma (CT), and their interactions on the neurobiological markers for emotion processing.

Method: Here, in a non-clinical sample of pre-adolescents (9-10 years of age) from the Adolescent Brain Cognitive Development (ABCD) Study (N = 6,146), we investigate the impact of PDE to commonly used substances (ie, alcohol, cigarettes, and marijuana), CT, and their interaction on emotion processing. From the Emotional N-back functional magnetic resonance imaging task data, we selected 26 regions of interests, previously implicated in emotion processing, and conducted separate linear mixed models (108 total) and accounted for available environmental risk factors.

Explaining human interactions on the road by large-scale integration of computational psychological theory.

When humans share space in road traffic, as drivers or as vulnerable road users, they draw on their full range of communicative and interactive capabilities. Much remains unknown about these behaviors, but they need to be captured in models if automated vehicles are to coexist successfully with human road users. Empirical studies of human road user behavior implicate a large number of underlying cognitive mechanisms, which taken together are well beyond the scope of existing computational models.

Haptic-Guided Teleoperation of a 7-DoF Collaborative Robot Arm With an Identical Twin Master.

In this article, we describe two techniques to enable haptic-guided teleoperation using 7-DoF cobot arms as master and slave devices. A shortcoming of using cobots as master-slave systems is the lack of force feedback at the master side. However, recent developments in cobot technologies have brought in affordable, flexible, and safe torque-controlled robot arms, which can be programmed to generate force feedback to mimic the operation of a haptic device.

Modeling and numerical simulations of the influenced Sznajd model.

This paper investigates the effects of independent nonconformists or influencers on the behavioral dynamic of a population of agents interacting with each other based on the Sznajd model. The system is modeled on a complete graph using the master equation. The acquired equation has been numerically solved.