Publications by authors named "P A M Uijt de Haag"

Study Objectives: The "Zeigarnik effect" refers to the phenomenon where future intentions are remembered effectively only as long as they are not executed. This study investigates whether these intentions, which remain active during sleep, influence dream content.

Methods: After an adaptation night, each of the 19 participants (10 women and 9 men) received three different task plans in the evening before the experimental night, each describing how to perform specific tasks.

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We evaluated the effect of compression leggings with micromassage in association with physical activity on women with lipedema, not previously treated and without recent changes in body weight. The treatment resulted in an improvement in all subjective parameters, in spontaneous and evoked pain, in the volume of the limbs, in the absence of significant changes in body weight, and regardless of the duration of use, age, years of illness, the clinical stage, and body mass index (BMI). Evoked pain did not improve in areas affected by untreated lipedema; foot circumferences did not increase.

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Article Synopsis
  • Child and youth mental health in France is now a key public health focus, emphasizing the role of social and emotional learning (SEL) in improving mental health among students.
  • Interventions in schools are increasing, but teachers currently lack effective training in implementing evidence-based SEL methods during their initial education.
  • The review highlights the positive impact of school-based SEL programs on mental health and academic performance, suggesting that teacher training and awareness of these benefits could enhance motivation and investment in SEL initiatives.
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Detection of analytes using streaming current has previously been explored using both experimental approaches and theoretical analyses of such data. However, further developments are needed for establishing a viable microchip that can be exploited to deliver a sensitive, robust, and scalable biosensor device. In this study, we demonstrated the fabrication of such a device on silicon wafer using a scalable silicon microfabrication technology followed by characterization and optimization of this sensor for detection of small extracellular vesicles (sEVs) with sizes in the range of 30 to 200 nm, as determined by nanoparticle tracking analyses.

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