Process evaluation of a cross-sectoral, coordinated follow-up care of stroke patients: a qualitative study.

Background: Implementation of interventions to improve follow-up stroke care is complex due to the involvement of various stakeholders and challenges of health care coordination. The aim of this study was to evaluate the process of implementing a cross-sectoral, coordinated follow-up care for stroke patients (the StroCare intervention).

Methods: As part of a multicenter interventional trial, this qualitative study was performed in a pre-post design with semi-structured interviews conducted with patients and health care employees.

Identification of Bronchial Epithelial Genes Associated with Type-2 Eosinophilic Inflammation in Asthma.

Background: Airway inflammation has a critical role in asthma pathogenesis and pathophysiology. Yet, the molecular pathways contributing to airway inflammation are not fully known, particularly Type-2 (T2) inflammation characterized by both eosinophilia and higher FeNO levels.

Objective: To identify genes whose level of expression in epithelial brushing samples were associated with both bronchoalveolar lavage (BAL) eosinophilia and generation of FeNO.

Connectome-Based Predictive Modeling of Trait Mindfulness.

Trait mindfulness refers to one's disposition or tendency to pay attention to their experiences in the present moment, in a non-judgmental and accepting way. Trait mindfulness has been robustly associated with positive mental health outcomes, but its neural underpinnings are poorly understood. Prior resting-state fMRI studies have associated trait mindfulness with within- and between-network connectivity of the default-mode (DMN), fronto-parietal (FPN), and salience networks.

Exploring Relevant Features for EEG-Based Investigation of Sound Perception in Naturalistic Soundscapes.

A comprehensive analysis of everyday sound perception can be achieved using electroencephalography (EEG) with the concurrent acquisition of information about the environment. While extensive research has been dedicated to speech perception, the complexities of auditory perception within everyday environments, specifically the types of information and the key features to extract, remain less explored. Our study aims to systematically investigate the relevance of different feature categories: discrete sound-identity markers, general cognitive state information, and acoustic representations, including discrete sound onset, the envelope, and mel-spectrogram.