Mind-mindedness in mothers of infants with excessive crying/sleeping/eating disorders.

Introduction: Excessive crying, sleeping, and eating disorders are among the most prevalent mental health diagnoses in the first 3 years of life and involve significant health service use. Parents of infants with excessive crying/sleeping/eating disorders report high levels of stress, since they feel incapable of soothing and/or nurturing their baby. Infants' distress can lead to a breakdown in parents' mentalizing abilities and, more specifically, parental mind-mindedness in the parent-child interaction.

A comic that explains palliative care: how patients experience comic-based educational material.

Objective: The aim of this study was to create a patient-centered comic on palliative care with and for patients admitted to a palliative care unit and to examine their experiences of graphic educational material.

Methods: This study employed a qualitative methodology using semi-structured interviews with advanced cancer patients admitted to the palliative care unit of the Medical University of Vienna. The data were analyzed using thematic analysis with the assistance of the MAXQDA software.

Real-World Treatment Patterns After Discontinuation of Venetoclax or BTKis in the Frontline Setting Among Older Adults With Chronic Lymphocytic Leukemia.

Purpose: Venetoclax and Bruton's tyrosine kinase inhibitors (BTKis) are key treatment options for patients with chronic lymphocytic leukemia (CLL) in the frontline setting. This study characterized postdiscontinuation treatment patterns and hospitalization of frontline venetoclax and BTKis in a national sample of older adults with CLL.

Methods: We identified 1,770 Medicare beneficiaries 66 years and older with CLL initiating venetoclax with obinutuzumab (VEN-O, n = 193) or BTKi treatment (n = 1,577) in the frontline setting between June 01, 2019, and June 30, 2020.

Advances in Data Pre-Processing Methods for Distributed Fiber Optic Strain Sensing.

Because of their high spatial resolution over extended lengths, distributed fiber optic sensors (DFOS) enable us to monitor a wide range of structural effects and offer great potential for diverse structural health monitoring (SHM) applications. However, even under controlled conditions, the useful signal in distributed strain sensing (DSS) data can be concealed by different types of measurement principle-related disturbances: strain reading anomalies (SRAs), dropouts, and noise. These disturbances can render the extraction of information for SHM difficult or even impossible.