591 research outputs found

    The effects of ability tracking of future primary school teachers on student performance

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    Because of the Dutch tracking system, primary school teachers in the Netherlands can have a vocational or a higher secondary background. Policymakers and school principles worry that teachers with vocational backgrounds are less capable to teach math and reading. This study therefore examines the effects of ability tracking of future primary school teachers on the students' math and reading performance. We exploit data of 91 schools for all primary school children in grades 3, 4 and 5 and identify the tracking effect by exploiting unique information on how teachers are assigned to classes based on their teaching abilities. The estimation results for math (reading) indicate that test scores are .2 (.12) of a standard deviation lower if their teacher had a vocational background. The results for reading are, however, not signicant at the 10% condence level and the tracking estimates appear to be less stable and precise

    Deliverable 10.3 - Plan for the dissemination and exploitation of the results from EuroMix

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    This plan for the dissemination and exploitation of the results (PEDR) provides the basis for EuroMix dissemination and exploitation activities by (i) outlining the EuroMix dissemination, communication, and exploitation strategy and by (ii) defining the timeframe, roles and responsibilities of these activities. The PEDR includes information regarding; dissemination channels, timelines, exploitation roadmaps and beneficiaries responsibilities. This will allow for the systematic implementation of the EuroMix exploitation and dissemination strategy throughout the project and will maximise the impact by implementing a coherent plan for the dissemination and exploitation of the project's results during and after the project. The first version of the PEDR was finalised in October 2016, after this it will be reviewed and updated annually as the project progresses. The final version will provide a long-term strategy for post-project dissemination and exploitation that will allow the European Commission (EC) to assess the impact of the project

    Automated mobile virtual reality cognitive behavior therapy for aviophobia in a natural setting: a randomized controlled trial

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    Background: Access to evidence-based psychological treatment is a challenge worldwide. We assessed the effectiveness of a fully automated aviophobia smartphone app treatment delivered in combination with a $5 virtual reality (VR) viewer.Methods: In total, 153 participants from the Dutch general population with aviophobia symptoms and smartphone access were randomized in a single-blind randomized controlled trial to either an automated VR cognitive behavior therapy (VR-CBT) app treatment condition (n = 77) or a wait-list control condition (n = 76). The VR-CBT app was delivered over a 6-week period in the participants' natural environment. Online self-report assessments were completed at baseline, post-treatment, at 3-month and at 12-month follow-up. The primary outcome measure was the Flight Anxiety Situations Questionnaire (FAS). Analyses were based on intent-to-treat.Results: A significant reduction of aviophobia symptoms at post-test for the VR-CBT app compared with the control condition [p Conclusions: This study is the first to show that fully automated mobile VR-CBT therapy delivered in a natural setting can maintain long-term effectiveness in reducing aviophobia symptoms. In doing so, it offers an accessible and scalable evidence-based treatment solution that can be applied globally at a fraction of the cost of current treatment alternatives

    Optical Detection of Preneoplastic Lesions of the Central Airways

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    Current routine diagnosis of premalignant lesions of the central airways is hampered due to a limited sensitivity (white light bronchoscopy) and resolution (computer tomography (CT), positron emission tomography (PET)) of currently used techniques. To improve the detection of these subtle mucosal abnormalities, novel optical imaging bronchoscopic techniques have been developed over the past decade. In this review we highlight the technological developments in the field of endoscopic imaging, and describe their advantages and disadvantages in clinical use

    Intake of nitrate and nitrite and the risk of gastric cancer: a prospective cohort study.

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    The association between the intake of nitrate or nitrite and gastric cancer risk was investigated in a prospective cohort study started in 1986 in the Netherlands, of 120,852 men and women aged 55-69 years. At baseline, data on dietary intake, smoking habits and other covariates were collected by means of a self-administered questionnaire. For data analysis, a case-cohort approach was used, in which the person-years at risk were estimated from a randomly selected subcohort (1688 men and 1812 women). After 6.3 years of follow-up, 282 microscopically confirmed incident cases of stomach cancer were detected: 219 men and 63 women. We did not find a higher risk of gastric cancer among people with a higher nitrate intake from food [rate ratio (RR) highest/lowest quintile = 0.80, 95% CI 0.47-1.37, trend-P = 0.18], a higher nitrate intake from drinking water (RR highest/lowest quintile = 0.88, 95% CI 0.59-1.32, trend-P = 0.39) or a higher intake of nitrite (RR highest/lowest quintile = 1.44, 95% CI 0.95-2.18, trend-P = 0.24). Rate ratios for gastric cancer were also computed for each tertile of nitrate intake from foods within tertiles of vitamin C intake and intake of beta-carotene, but no consistent pattern was found. Therefore, our study does not support a positive association between the intake of nitrate or nitrite and gastric cancer risk

    Distribution of emphysema in heavy smokers: Impact on pulmonary function

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    SummaryPurposeTo investigate impact of distribution of computed tomography (CT) emphysema on severity of airflow limitation and gas exchange impairment in current and former heavy smokers participating in a lung cancer screening trial.Materials and MethodsIn total 875 current and former heavy smokers underwent baseline low-dose CT (30mAs) in our center and spirometry and diffusion capacity testing on the same day as part of the Dutch–Belgian Lung Cancer Screening Trial (NELSON). Emphysema was quantified for 872 subjects as the number of voxels with an apparent lowered X-ray attenuation coefficient. Voxels attenuated <−950HU were categorized as representing severe emphysema (ES950), while voxels attenuated between −910HU and −950HU represented moderate emphysema (ES910). Impact of distribution on severity of pulmonary function impairment was investigated with logistic regression, adjusted for total amount of emphysema.ResultsFor ES910 an apical distribution was associated with more airflow obstruction and gas exchange impairment than a basal distribution (both p<0.01). The FEV1/FVC ratio was 1.6% (95% CI 0.42% to 2.8%) lower for apical predominance than for basal predominance, for Tlco/VA the difference was 0.12% (95% CI 0.076–0.15%). Distribution of ES950 had no impact on FEV1/FVC ratio, while an apical distribution was associated with a 0.076% (95% CI 0.038–0.11%) lower Tlco/VA (p<0.001).ConclusionIn a heavy smoking population, an apical distribution is associated with more severe gas exchange impairment than a basal distribution; for moderate emphysema it is also associated with a lower FEV1/FVC ratio. However, differences are small, and likely clinically irrelevant

    Deliverable 6.1 - Demonstration prototype of the EuroMix model toolbox

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    This document describes in short the new features in a demonstration prototype of the EuroMix toolbox, developed as MCRA 8.2. An important aim of the EuroMix project is to develop and implement a web-based platform (the EuroMix toolbox) including data and models accessible to all key-actors in risk assessment and risk management. In the EuroMix project the development of a mixture selection module based on exposure was prioritised, because the choice of chemicals for the experiments depended on this. A mixture selection module was therefore developed, based on a method called sparse non-negative matrix under-approximation (SNMU). The mixture selection module was then applied to French and Dutch data, leading to a list of suggested chemicals for each adverse outcome pathway in the project
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