Do We Know What We Do not Know? A Response to Celine Bonnet

Food taxes increase prices of food or food ingredients in order to stimulate consumers to change their eating behaviour and finally to level up population health. Their aim is to tackle the high rates of obesity and other lifestyle diseases. As Bonnet argues, often food taxes are set up out of an economic perspective (1). To change consumer behaviour is one thing, to level up people’s health is a complex matter

Usefulness of the Supports Intensity Scale (SIS) for persons with other than intellectual disabilities

In response to the shift from a system-centred care model to a person-centred support model, the Supports Intensity Scale (SIS) has been developed as an instrument to assess the support needs of persons with intellectual disabilities. The instrument is used as a tool for constructing individual support plans, as well as a tool for resource allocation. The aim of the present study was to evaluate the usefulness of the SIS for persons with other than intellectual disabilities. Therefore, the psychometric properties of the SIS were investigated in a sample of 1303 persons with other than intellectual disabilities. Confirmatory factor analysis failed to support the originally proposed six-factor model within this sample. However, an explorative examination of the underlying structure resulted in a shortened version of the SIS, including four subscales and 22 items. Further analyses revealed satisfying results for reliability, construct validity, and criterion validity of the shortened assessment tool (SIS-NID).status: publishe

Factorial validity of the Supports Intensity Scale (SIS)

The Supports Intensity Scale (SIS) has been developed to provide information on the support needs of persons with intellectual disabilities. The present study aimed at evaluating the factorial validity of the SIS in a sample of 14,862 persons with intellectual disabilities. The structure of the instrument as promulgated by the developers was tested and its stability was evaluated across gender, age, disability complexity, and disability severity groups. Confirmatory factor analysis supported the originally proposed subscale structure. The six-factor structure yielded strict factorial invariance across gender, age and disability complexity, whereas invariance of factor configuration was merely established across disability severity groups. Possible explanations and implications of these findings are discussed.status: publishe

BlendVLC: A cell-free VLC network architecture empowered by beamspot blending

In visible light communication (VLC), the quality of communication is primarily dominated by line-of-sight links. To ensure an appropriate link quality anywhere, beamsteering has been proposed where transmitters (TXs) dynamically steer their beams to create beamspots on the users. However, these highly dynamic TXs face the beam tracking problem and result in highly variable illumination. In this work, we propose BlendVLC, a cell-free network architecture to improve the mobility robustness of users by blending the beamspots from both steerable and fixed TXs. We solve the beam tracking by designing a centimeter-level visible light positioning algorithm empowered by a neural network. Relying on this location information, we formulate and solve an optimization problem on the beamspot blending, and design a fast and scalable heuristic for large networks. We build a proof-of-concept testbed as well as a simulator to evaluate BlendVLC. We show that it achieves superior performance compared to denser networks with fully fixed TXs. For example, in a large-scale VLC network of 8 m x 4 m, BlendVLC improves the average system throughput by 30%, while only requiring half the number of TXs.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Embedded and Networked System

Evaluation of a Cerebral-Blood-Volume (CBV) pharmaco-MRI (phMRI) assay utilizing low (0.1mg/70kg) and high (0.2mg/70kg) dose buprenorphine infusion and a novel USPIO contrast agent (Ferumoxytol) in healthy human subjects

We present results from a clinical trial of pharmaco-MRI (phMRI) employing cerebral blood volume (CBV) imaging using ferumoxytol (Rienso/Feraheme, AMAG) as a blood pool contrast agent. The study examined the pharmacodynamic effects of two single doses of buprenorphine (0.2mg/70kg and 0.1mg/70kg administered intravenously). We found that contrast-enhanced CBV phMRI signals are more sensitive reporters of pharmacodynamic effects than conventional blood oxygen level dependent (BOLD) phMRI. In particular, higher sensitivity of CBV phMRI compared to BOLD allows for elucidation of PD responses at lower doses of buprenorphine, which has practical implications for similar phMRI studies with centrally acting drugs