11 research outputs found

    Anthropic and Meteorological Controls on the Origin and Quality of Water at a Bank Filtration Site in Canada

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    International audienceAt many bank filtration (BF) sites, mixing ratios between the contributing sources of water are typically regarded as values with no temporal variation, even though hydraulic conditions and pumping regimes can be transient. This study illustrates how anthropic and meteorological forcings influence the origin of the water of a BF system that interacts with two lakes (named A and B). The development of a time-varying binary mixing model based on electrical conductivity (EC) allowed the estimation of mixing ratios over a year. A sensitivity analysis quantified the importance of considering the temporal variability of the end-members for reliable results. The model revealed that the contribution from Lake A may vary from 0% to 100%. At the wells that were operated continuously at >1000 m3/day, the contribution from Lake A stabilized between 54% and 78%. On the other hand, intermittent and occasional pumping regimes caused the mixing ratios to be controlled by indirect anthropic and/or meteorological forcing. The flow conditions have implications for the quality of the bank filtrate, as highlighted via the spatiotemporal variability of total Fe and Mn concentrations. We therefore propose guidelines for rapid decision-making regarding the origin and quality of the pumped drinking water

    A pragmatic randomized controlled trial of group transdiagnostic cognitive-behaviour therapy for anxiety disorders in primary care: study protocol

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    Abstract Background Anxiety disorders are the most common mental disorders in community settings, and they are associated with significant psychological distress, functional and social impairment. While cognitive behaviour therapy (CBT) is the most consistently efficacious psychological treatment for anxiety disorders, barriers preclude widespread implementation of CBT in primary care. Transdiagnostic group CBT (tCBT) focuses on cognitive and behavioural processes and intervention strategies common to different anxiety disorders, and could be a promising alternative to conventional CBT. This study aims to examine the effectiveness of a transdiagnostic group CBT for anxiety disorders program as a complement to treatment-as-usual (TAU) in primary mental health care. Methods/Design The trial is a multicentre pragmatic randomized controlled trial with a pre-treatment, post-treatment, and follow-up at 4, 8 and 12-months design. Treatment and control groups . a) tCBT (12 weekly 2-h group sessions following a manualized treatment protocol); b) TAU for anxiety disorders. Inclusion criteria comprise meeting DSM-5 criteria for primary Panic Disorder, Agoraphobia, Social Anxiety Disorder and/or Generalized Anxiety Disorder. Patients are recruited in three regions in the province of Quebec, Canada. The primary outcome measures are the self-reported Beck Anxiety Inventory and the clinician-administered Anxiety and Related Disorders Interview Schedule for DSM-5 (ADIS-5); secondary outcome measures include treatment responder status based on the ADIS-5, and self-reported instruments for specific anxiety and depression symptoms, quality of life, functioning, and service utilisation. Statistical analysis: Intention-to-treat analysis. A mixed effects regression model will be used to account for between- and within-subject variations in the analysis of the longitudinal effects of the intervention. Discussion This rigorous evaluation of tCBT in the real world will provide invaluable information to decision makers, health care managers, clinicians and patients regarding the effectiveness of the intervention. Widespread implementation of tCBT protocols in primary care could lead to better effectiveness, efficiency, access and equity for the large number of patients suffering from anxiety disorders that are currently not obtaining evidence-based psychotherapy. Trial registration ClinicalTrials.gov: NCT02811458

    DES Science Portal: Computing Photometric Redshifts

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    International audienceA significant challenge facing photometric surveys for cosmological purposes is the need to produce reliable redshift estimates. The estimation of photometric redshifts (photo- z s) has been consolidated as the standard strategy to bypass the high production costs and incompleteness of spectroscopic redshift samples. Training-based photo- z methods require the preparation of a high-quality list of spectroscopic redshifts, which needs to be constantly updated. The photo- z training, validation, and estimation must be performed in a consistent and reproducible way in order to accomplish the scientific requirements. To meet this purpose, we developed an integrated web-based data interface that not only provides the framework to carry out the above steps in a systematic way, enabling the ease testing and comparison of different algorithms, but also addresses the processing requirements by parallelizing the calculation in a transparent way for the user. This framework called the Science Portal (hereafter Portal) was developed in the context the Dark Energy Survey (DES) to facilitate scientific analysis. In this paper, we show how the Portal can provide a reliable environment to access vast datasets, provide validation algorithms and metrics, even in the case of multiple photo- z s methods. It is possible to maintain the provenance between the steps of a chain of workflows while ensuring reproducibility of the results. We illustrate how the Portal can be used to provide photo- z estimates using the DES first year (Y1A1) data. While the DES collaboration is still developing techniques to obtain more precise photo- z s, having a structured framework like the one presented here is critical for the systematic vetting of DES algorithmic improvements and the consistent production of photo- z s in future DES releases
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