Direct and Indirect Exposure to Trauma, Posttraumatic Stress Disorder Symptoms, and Poor Subjective Sleep Quality in Patients with Substance Use Disorder.

Background: Despite the frequent co-occurrence of posttraumatic stress disorder and substance use disorder, screening for trauma exposure and posttraumatic stress disorder symptoms is not a routine practice in substance use disorder clinics. The aims of this study were to examine the prevalence of exposure to traumatic events, posttraumatic stress disorder symptoms, and subjective sleep quality in substance use disorder inpatients after detoxification. In addition, we analyzed associations of sociodemographics, direct and indirect exposure to traumatic events, and sleep quality with posttraumatic stress disorder symptom severity.

Anatomy and Physiology of Multiscale Modeling and Simulation in Systems Medicine.

Systems medicine is the application of systems biology concepts, methods, and tools to medical research and practice. It aims to integrate data and knowledge from different disciplines into biomedical models and simulations for the understanding, prevention, cure, and management of complex diseases. Complex diseases arise from the interactions among disease-influencing factors across multiple levels of biological organization from the environment to molecules.

Performance of distributed multiscale simulations.

Multiscale simulations model phenomena across natural scales using monolithic or component-based code, running on local or distributed resources. In this work, we investigate the performance of distributed multiscale computing of component-based models, guided by six multiscale applications with different characteristics and from several disciplines. Three modes of distributed multiscale computing are identified: supplementing local dependencies with large-scale resources, load distribution over multiple resources, and load balancing of small- and large-scale resources.

A framework for multi-scale modelling.

We review a methodology to design, implement and execute multi-scale and multi-science numerical simulations. We identify important ingredients of multi-scale modelling and give a precise definition of them. Our framework assumes that a multi-scale model can be formulated in terms of a collection of coupled single-scale submodels.

Flexible composition and execution of high performance, high fidelity multiscale biomedical simulations.

Multiscale simulations are essential in the biomedical domain to accurately model human physiology. We present a modular approach for designing, constructing and executing multiscale simulations on a wide range of resources, from laptops to petascale supercomputers, including combinations of these. Our work features two multiscale applications, in-stent restenosis and cerebrovascular bloodflow, which combine multiple existing single-scale applications to create a multiscale simulation.