| 1. |
- Grigoroglou, C., et al.
(author)
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Effectiveness of collaborative care in reducing suicidal ideation: An individual participant data meta-analysis
- 2021
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In: General Hospital Psychiatry. - : Elsevier BV. - 0163-8343. ; 71, s. 27-35
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Journal article (peer-reviewed)abstract
- To assess whether CC is more effective at reducing suicidal ideation in people with depression compared with usual care, and whether study and patient factors moderate treatment effects. Method: We searched Medline, Embase, PubMed, PsycINFO, CINAHL, CENTRAL from inception to March 2020 for Randomised Controlled Trials (RCTs) that compared the effectiveness of CC with usual care in depressed adults, and reported changes in suicidal ideation at 4 to 6 months post-randomisation. Mixed-effects models accounted for clustering of participants within trials and heterogeneity across trials. This study is registered with PROSPERO, CRD42020201747. Results: We extracted data from 28 RCTs (11,165 patients) of 83 eligible studies. We observed a small significant clinical improvement of CC on suicidal ideation, compared with usual care (SMD, 0.11 [95%CI, 0.15 to 0.08]; I-2, 0.47% [95%CI 0.04% to 4.90%]). CC interventions with a recognised psychological treatment were associated with small reductions in suicidal ideation (SMD, 0.15 [95%CI -0.19 to 0.11]). CC was more effective for reducing suicidal ideation among patients aged over 65 years (SMD, 0.18 [95%CI -0.25 to 0.11]). Conclusion: Primary care based CC with an embedded psychological intervention is the most effective CC framework for reducing suicidal ideation and older patients may benefit the most.
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| 2. |
- Golsteijn, Laura, et al.
(author)
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Assessing predictive uncertainty in comparative toxicity potentials of triazoles
- 2014
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In: Environmental Toxicology and Chemistry. - : Wiley. - 0730-7268 .- 1552-8618. ; 33:2, s. 293-301
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Journal article (peer-reviewed)abstract
- Comparative toxicity potentials (CTPs) quantify the potential ecotoxicological impacts of chemicals per unit of emission. They are the product of a substance's environmental fate, exposure, and hazardous concentration. When empirical data are lacking, substance properties can be predicted. The goal of the present study was to assess the influence of predictive uncertainty in substance property predictions on the CTPs of triazoles. Physicochemical and toxic properties were predicted with quantitative structure-activity relationships (QSARs), and uncertainty in the predictions was quantified with use of the data underlying the QSARs. Degradation half-lives were based on a probability distribution representing experimental half-lives of triazoles. Uncertainty related to the species' sample size that was present in the prediction of the hazardous aquatic concentration was also included. All parameter uncertainties were treated as probability distributions, and propagated by Monte Carlo simulations. The 90% confidence interval of the CTPs typically spanned nearly 4 orders of magnitude. The CTP uncertainty was mainly determined by uncertainty in soil sorption and soil degradation rates, together with the small number of species sampled. In contrast, uncertainty in species-specific toxicity predictions contributed relatively little. The findings imply that the reliability of CTP predictions for the chemicals studied can be improved particularly by including experimental data for soil sorption and soil degradation, and by developing toxicity QSARs for more species. (c) 2013 SETAC
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| 3. |
- Janssens, O, et al.
(author)
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Beet top and leaf determination through image processing
- 2006
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In: Zuckerindustrie. - 0344-8657. ; 131:1, s. 21-7
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Journal article (peer-reviewed)abstract
- It is important for the European sugar industry to reduce its production costs in order to deal with the reforms of sugar agreements, by being ever mindful of the quality of the raw material. A new image technique has been developed to this end: it allows determination of certain quality criteria, such as: top and leafstalk rates in beet. The device consists of a color camera set in a closed space under constant lighting. The camera is linked to a computer where the images are processed by a software providing on-line predictions. To integrate all the variability proper to the samples taken at the sugar factory, the algorithm presented here is based on a PLS regression on the basis of color image characteristics. The correlations obtained between the visual predictions and the manual references are close to the maximum limits that could be hoped for, taking account of the variability of the manual determination of the beet top. The following factors have been identified as favoring the quality of the forecasts: images from large samples, the turning of those samples and the individual presentation of the beet. The determination of the beet leafstalks is also possible using the same algorithms. This is a less complex task yielding higher correlations.
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