Publications by authors named "K Jonker"

Article Synopsis
  • Scientists created tiny metal probes called nanoprobes to help see and study important parts of cartilage tissue in our bodies.
  • These nanoprobes are made from two different metals, praseodymium and hafnium, which can be identified separately using special imaging technology.
  • This new method can help track diseases like osteoarthritis by showing two important markers at the same time.
View Article and Find Full Text PDF

The latest X-ray photon-counting computed tomography (PCCT) for extremity allows multi-energy high-resolution (HR) imaging for tissue characterization and material decomposition. However, both radiation dose and imaging speed need improvement for contrast-enhanced and other studies. Despite the success of deep learning methods for 2D few-view reconstruction, applying them to HR volumetric reconstruction of extremity scans for clinical diagnosis has been limited due to GPU memory constraints, training data scarcity, and domain gap issues.

View Article and Find Full Text PDF
Species identification in meat products using real-time PCR.

Food Addit Contam Part A Chem Anal Control Expo Risk Assess

May 2008

One of the most convenient methods for the identification of animal species in processed meat products is the examination of DNA sequences. Real-time polymerase chain reaction (qPCR) techniques are particularly suitable because even small fragments of DNA formed during heat processing of the meat can be amplified and identified. A real-time PCR method has been developed and evaluated for the identification of processed meat products.

View Article and Find Full Text PDF

Background: Although several forms of effective therapy exist for outpatients suffering from major depressive disorder, many patients do not profit from treatment. Combining psychotherapy and medication may be an effective strategy. However, earlier studies have rarely found a clear advantage for the combination.

View Article and Find Full Text PDF

Background: Prediction of treatment outcome has important clinical consequences. Personality factors have rarely been tested as predictors of acute outcome. Personality, demographic and illness-related characteristics were assessed at baseline for prediction of outcome of treatment in depressed out-patients.

View Article and Find Full Text PDF