Personalized exposure and experience sampling method feedback versus exposure as usual for obsessive-compulsive disorder: a study protocol for a randomized controlled trial.

Background: Patients with obsessive-compulsive disorder (OCD) suffer from repetitive fearful intrusions which they try to neutralize by performing compulsions. OCD is considered to be the most resistant anxiety disorder with a remission rate of only 53% after a year of an evidence-based treatment. Therefore, it remains an obligation to develop and investigate more effective treatment interventions.

Hierarchical network structure as the source of hierarchical dynamics (power-law frequency spectra) in living and non-living systems: How state-trait continua (body plans, personalities) emerge from first principles in biophysics.

Living systems are hierarchical control systems that display a small world network structure. In such structures, many smaller clusters are nested within fewer larger ones, producing a fractal-like structure with a 'power-law' cluster size distribution (a mereology). Just like their structure, the dynamics of living systems shows fractal-like qualities: the timeseries of inner message passing and overt behavior contain high frequencies or 'states' (treble) that are nested within lower frequencies or 'traits' (bass), producing a power-law frequency spectrum that is known as a 'state-trait continuum' in the behavioral sciences.

Recurrence risk of venous thromboembolism associated with systemic lupus erythematosus: A retrospective cohort study.

Background: Recurrence risk of systemic lupus erythematosus (SLE)-associated venous thromboembolism (VTE) is unclear.

Aim: To determine the recurrence risk of SLE-associated VTE overall and by presence of provoking factors and SLE flares.

Methods: A multicenter, retrospective cohort study was conducted among patients with first SLE-associated VTE who discontinued anticoagulation.

Development and validation of an early warning model for hospitalized COVID-19 patients: a multi-center retrospective cohort study.

Background: Timely identification of deteriorating COVID-19 patients is needed to guide changes in clinical management and admission to intensive care units (ICUs). There is significant concern that widely used Early warning scores (EWSs) underestimate illness severity in COVID-19 patients and therefore, we developed an early warning model specifically for COVID-19 patients.

Methods: We retrospectively collected electronic medical record data to extract predictors and used these to fit a random forest model.

Permutation Entropy as a Universal Disorder Criterion: How Disorders at Different Scale Levels Are Manifestations of the Same Underlying Principle.

What do bacteria, cells, organs, people, and social communities have in common? At first sight, perhaps not much. They involve totally different agents and scale levels of observation. On second thought, however, perhaps they share everything.