Publications by authors named "A De Backer"

Thyroid hormones (TH) play a key role in fetal brain development. While severe thyroid dysfunction, has been shown to cause neurodevelopmental and reproductive disorders, the rising levels of TH-disruptors in the environment in the past few decades have increased the need to assess effects of subclinical (mild) TH insufficiency during gestation. Since embryos do not produce their own TH before mid-gestation, early development processes rely on maternal production.

View Article and Find Full Text PDF

In an elderly patient with a history of atypical, intermittent medial thigh pain presenting with signs of intestinal obstruction, entrapment of bowel loops in an obturator hernia should be included in the differential diagnosis and should be further elaborated by computed tomography (CT).

View Article and Find Full Text PDF

Through a simulation-based study we develop a statistical model-based quantification method for atomic resolution first moment scanning transmission electron microscopy (STEM) images. This method uses the uniformly weighted least squares estimator to determine the unknown structure parameters of the images and to isolate contributions from individual atomic columns. In this way, a quantification of the projected potential per atomic column is achieved.

View Article and Find Full Text PDF
Article Synopsis
  • The Bayesian genetic algorithm (BGA) effectively reconstructs the 3D structures of single-crystalline metallic nanoparticles using advanced imaging techniques like annular dark field scanning transmission electron microscopy.
  • It utilizes the number of atoms in an atomic column from the images as input, accounting for atom counting precision and prior knowledge for an accurate reconstruction.
  • The study addresses the high computational costs associated with BGA, especially for larger nanoparticles, and offers strategies for improving the efficiency of the algorithm for particles up to 10 nm in size.
View Article and Find Full Text PDF
Article Synopsis
  • Regular monitoring of ADHD treatment is crucial, but traditional care often limits patient interaction to yearly visits; apps can help facilitate ongoing monitoring.
  • A study involving 13 clinicians led to the creation of the mCASS, a tool designed for self-monitoring ADHD symptoms via a smartphone app, which was then tested with a larger group of 397 individuals.
  • The mCASS showed good reliability and validity, covering key areas of ADHD impact, and highlights the importance of incorporating feedback from both clinicians and patients in developing effective mobile health solutions.
View Article and Find Full Text PDF