This research article shows that a high intensity exercise program compared to a low intensity exercise program of the same session duration and frequency, increases insulin sensitivity to a larger extend in healthy subjects. It also shows that the short insulin tolerance test can be used to detect differences in insulin sensitivity in intervention studies.
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This chapter provides insight into the culturally-bound nature of ethical sensitivity by examining three case studies from different educational contexts: the Netherlands (n = 622), Finland (n = 864), and Iranian Kurdistan (n = 556). Ethical sensitivity was investigated with the Ethical Sensitivity Scale Questionnaire (Tirri & Nokelainen, 2007, 2011), and a four-factor model was found to capture the essential aspects of ethical sensitivity across culturally diverse contexts. Subsequently, the relationships among the four dimensions were examined in each case study. The analyses reveal that caring by connecting to others was a central dimension of ethical sensitivity across the three cases. Given the other dimensions of ethical sensitivity, the dimension of taking the perspective of others seemed particularly dependent on culture. The consequences of these results for moral education are discussed.
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The research project In search of pedagogical sensitivity is executed from the research department of the knowledge circle renewing methods and didactics for teacher education and training of the Hogeschool Utrecht in the Netherlands under supervision of Hans Jansen (associated professor of the Hogeschool Utrecht - chair: renewing methods and didactics for teacher education and training) by Karel Mulderij, Renée van der Linde and Loes Houweling (all senior teachers and senior researchers of the Hogeschool Utrecht and members of the knowledge circle renewing methods and didactics for teacher education and training) with assistance of 25 students (teachers) studying in a three year Master course Ecological Pedagogy.
Huntington’s disease (HD) and various spinocerebellar ataxias (SCA) are autosomal dominantly inherited neurodegenerative disorders caused by a CAG repeat expansion in the disease-related gene1. The impact of HD and SCA on families and individuals is enormous and far reaching, as patients typically display first symptoms during midlife. HD is characterized by unwanted choreatic movements, behavioral and psychiatric disturbances and dementia. SCAs are mainly characterized by ataxia but also other symptoms including cognitive deficits, similarly affecting quality of life and leading to disability. These problems worsen as the disease progresses and affected individuals are no longer able to work, drive, or care for themselves. It places an enormous burden on their family and caregivers, and patients will require intensive nursing home care when disease progresses, and lifespan is reduced. Although the clinical and pathological phenotypes are distinct for each CAG repeat expansion disorder, it is thought that similar molecular mechanisms underlie the effect of expanded CAG repeats in different genes. The predicted Age of Onset (AO) for both HD, SCA1 and SCA3 (and 5 other CAG-repeat diseases) is based on the polyQ expansion, but the CAG/polyQ determines the AO only for 50% (see figure below). A large variety on AO is observed, especially for the most common range between 40 and 50 repeats11,12. Large differences in onset, especially in the range 40-50 CAGs not only imply that current individual predictions for AO are imprecise (affecting important life decisions that patients need to make and also hampering assessment of potential onset-delaying intervention) but also do offer optimism that (patient-related) factors exist that can delay the onset of disease.To address both items, we need to generate a better model, based on patient-derived cells that generates parameters that not only mirror the CAG-repeat length dependency of these diseases, but that also better predicts inter-patient variations in disease susceptibility and effectiveness of interventions. Hereto, we will use a staggered project design as explained in 5.1, in which we first will determine which cellular and molecular determinants (referred to as landscapes) in isogenic iPSC models are associated with increased CAG repeat lengths using deep-learning algorithms (DLA) (WP1). Hereto, we will use a well characterized control cell line in which we modify the CAG repeat length in the endogenous ataxin-1, Ataxin-3 and Huntingtin gene from wildtype Q repeats to intermediate to adult onset and juvenile polyQ repeats. We will next expand the model with cells from the 3 (SCA1, SCA3, and HD) existing and new cohorts of early-onset, adult-onset and late-onset/intermediate repeat patients for which, besides accurate AO information, also clinical parameters (MRI scans, liquor markers etc) will be (made) available. This will be used for validation and to fine-tune the molecular landscapes (again using DLA) towards the best prediction of individual patient related clinical markers and AO (WP3). The same models and (most relevant) landscapes will also be used for evaluations of novel mutant protein lowering strategies as will emerge from WP4.This overall development process of landscape prediction is an iterative process that involves (a) data processing (WP5) (b) unsupervised data exploration and dimensionality reduction to find patterns in data and create “labels” for similarity and (c) development of data supervised Deep Learning (DL) models for landscape prediction based on the labels from previous step. Each iteration starts with data that is generated and deployed according to FAIR principles, and the developed deep learning system will be instrumental to connect these WPs. Insights in algorithm sensitivity from the predictive models will form the basis for discussion with field experts on the distinction and phenotypic consequences. While full development of accurate diagnostics might go beyond the timespan of the 5 year project, ideally our final landscapes can be used for new genetic counselling: when somebody is positive for the gene, can we use his/her cells, feed it into the generated cell-based model and better predict the AO and severity? While this will answer questions from clinicians and patient communities, it will also generate new ones, which is why we will study the ethical implications of such improved diagnostics in advance (WP6).
The pipelines are buried structures. They move together with the soil during a seismic event. They are affected from ground motions. The project aims to find out the possible effects of Groningen earthquakes on pipelines of Loppersum and Slochteren.This project is devised for conducting an initial probe on the available data to see the possible actions that can be taken, initially on these two pilot villages, Loppersum and Slochteren, for detecting the potential relationship between the past damages and the seismic activity.Lifeline infrastructure, such as water mains and sewerage systems, covering our urbanised areas like a network, are most of the times, sensitive to seismic actions. This sensitivity can be in the form of extended damage during seismic events, or other collateral damages, such as what happened in Christchurch Earthquakes in 2011 in New Zealand when the sewerage system of the city was filled in with tonnes of sand due to liquefaction.Regular damage detection is one of key solutions for operational purposes. The earthquake mitigation, however, needs large scale risk studies with expected spatial distribution of damages for varying seismic hazard levels.
Since 2015, the research group Lifelong Learning in Music of Hanze University of Applied Sciences Groningen, together with the University Medical Center Groningen (UMCG), has developed and researched the MiMiC practice for patients and nurses on surgical wards. The musicians make tailor-made music in the patients' rooms in collaboration with patients and nurses. They do this on the basis of verbal and non-verbal contact with patients and nurses. Person-centred music-making turns out to be easy to realise in a medical setting and to be meaningful for all involved. People who have just had surgery experience less pain. Nurses feel more deeply involved with their patients. Musicians show sensitivity for the social context in which they carry out their artistic practice.In this project the research group is developing an innovative artistic practice with a focus on elderly patients. Musicians work with patients and the care staff that are taking care of these patients during their stay in hospital. The research should lead to insights in the effects of this practice and to a new training for master students and professional musicians who want wish to specialise themselves in this field. Pilots on six different wards of the UMCG with professional musicians and master students are part of the research which will last two years in its entirety. The project has been granted funding from the 'Banning de Jong Fonds' of the national 'Prins Bernhard Cultuurfonds' and the 'Fonds Sluyterman van Loo'.
