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How best to use photons.

ABSTRACT: Strategies for collecting X-ray diffraction data have evolved alongside beamline hardware and detector developments. The traditional approaches for diffraction data collection have emphasised collecting data from noisy integrating detectors (i.e. film, image plates and CCD detectors). With fast pixel array detectors on stable beamlines, the limiting factor becomes the sample lifetime, and the question becomes one of how to expend the photons that your sample can diffract, i.e. as a smaller number of stronger measurements or a larger number of weaker data. This parameter space is explored via experiment and synthetic data treatment and advice is derived on how best to use the equipment on a modern beamline. Suggestions are also made on how to acquire data in a conservative manner if very little is known about the sample lifetime.

SUBMITTER: Winter G

PROVIDER: S-EPMC6450062 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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How best to use photons.

Winter Graeme G Gildea Richard J RJ Paterson Neil G NG Beale John J Gerstel Markus M Axford Danny D Vollmar Melanie M McAuley Katherine E KE Owen Robin L RL Flaig Ralf R Ashton Alun W AW Hall David R DR

Acta crystallographica. Section D, Structural biology 20190319 Pt 3

Strategies for collecting X-ray diffraction data have evolved alongside beamline hardware and detector developments. The traditional approaches for diffraction data collection have emphasised collecting data from noisy integrating detectors (i.e. film, image plates and CCD detectors). With fast pixel array detectors on stable beamlines, the limiting factor becomes the sample lifetime, and the question becomes one of how to expend the photons that your sample can diffract, i.e. as a smaller numbe ...[more]

PMID: 30950396

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Project description:BACKGROUND: Postmarket surveillance of the comparative safety and efficacy of orphan therapeutics is challenging, particularly when multiple therapeutics are licensed for the same orphan indication. To make best use of product-specific registry data collected to fulfill regulatory requirements, we propose the creation of a distributed electronic health data network among registries. Such a network could support sequential statistical analyses designed to detect early warnings of excess risks. We use a simulated example to explore the circumstances under which a distributed network may prove advantageous. METHODS: We perform sample size calculations for sequential and non-sequential statistical studies aimed at comparing the incidence of hepatotoxicity following initiation of two newly licensed therapies for homozygous familial hypercholesterolemia. We calculate the sample size savings ratio, or the proportion of sample size saved if one conducted a sequential study as compared to a non-sequential study. Then, using models to describe the adoption and utilization of these therapies, we simulate when these sample sizes are attainable in calendar years. We then calculate the analytic calendar time savings ratio, analogous to the sample size savings ratio. We repeat these analyses for numerous scenarios. KEY RESULTS: Sequential analyses detect effect sizes earlier or at the same time as non-sequential analyses. The most substantial potential savings occur when the market share is more imbalanced (i.e., 90% for therapy A) and the effect size is closest to the null hypothesis. However, due to low exposure prevalence, these savings are difficult to realize within the 30-year time frame of this simulation for scenarios in which the outcome of interest occurs at or more frequently than one event/100 person-years. CONCLUSIONS: We illustrate a process to assess whether sequential statistical analyses of registry data performed via distributed networks may prove a worthwhile infrastructure investment for pharmacovigilance.

Project description:Aims and objectivesTo synthesise international research that relates to midwives' use of best available evidence in practice settings and identify key issues relating to the translation of latest evidence into everyday maternity care.BackgroundMidwifery is a research-informed profession. However, a gap persists in the translation of best available evidence into practice settings, compromising gold standard maternity care and delaying the translation of new knowledge into everyday practice.DesignA five-step integrative review approach, based on a series of articles published by the Joanna Briggs Institute (JBI) for conducting systematic reviews, was used to facilitate development of a search strategy, selection criteria and quality appraisal process, and the extraction and synthesis of data to inform an integrative review.MethodsThe databases CINAHL, MEDLINE, Web of Science, Implementation Science Journal and Scopus were searched for relevant articles. The screening and quality appraisal process complied with the PRISMA 2009 checklist. Narrative analysis was used to develop sub-categories and dimensions from the data, which were then synthesised to form two major categories that together answer the review question.ResultsThe six articles reviewed report on midwives' use of best available evidence in Australia, the UK and Asia. Two major categories emerged that confirm that although midwifery values evidence-based practice (EBP), evidence-informed maternity care is not always employed in clinical settings. Additionally, closure of the evidence-to-practice gap in maternity care requires a multidimensional approach.ConclusionCollaborative partnerships between midwives and researchers are necessary to initiate strategies that support midwives' efforts to facilitate the timely movement of best available evidence into practice.Relevance to clinical practiceUnderstanding midwives' use of best available evidence in practice will direct future efforts towards the development of mechanisms that facilitate the timely uptake of latest evidence by all maternity care providers working in clinical settings.

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How best to use photons.

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How best to use photons.

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