1,701 research outputs found

    Generic approach for deriving reliability and maintenance requirements through consideration of in-context customer objectives

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    Not all implementations of reliability are equally effective at providing customer and user benefit. Random system failure with no prior warning or failure accommodation will have an immediate, usually adverse impact on operation. Nevertheless, this approach to reliability, implicit in measurements such as ‘failure rate’ and ‘MTBF’, is widely assumed without consideration of potential benefits of pro-active maintenance. Similarly, it is easy to assume that improved maintainability is always a good thing. However, maintainability is only one option available to reduce cost of ownership and reduce the impact of failure. This paper discusses a process for deriving optimised reliability and maintenance requirements through consideration of in-context customer objectives rather than a product in isolation

    Job Locator and Development: A Model Program

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    Emergency Eye Simulation Model

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    Path integral contour deformations for noisy observables

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    Monte Carlo studies of many quantum systems face exponentially severe signal-to-noise problems. We show that noise arising from complex phase fluctuations of observables can be reduced without introducing bias using path integral contour deformation techniques. A numerical study of contour deformations for correlation functions in Abelian gauge theory and complex scalar field theory demonstrates that variance can be reduced by orders of magnitude without modifying Monte Carlo sampling.Comment: 7 pages, 2 figure

    Online tool for monitoring adverse events in patients with cancer during treatment (eRAPID): field testing in a clinical setting

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    Objectives: Electronic patient self-Reporting of Adverse-events: Patient Information and aDvice (eRAPID) is an online system developed to support patient care during cancer treatment by improving the detection and management of treatment-related symptoms. Patients can complete symptom reports from home and receive severity-based self-management advice, including notifications to contact the hospital for severe symptoms. Patient data are available in electronic records for staff to review. Prior to the commencement of a randomised controlled trial (RCT), field testing of the intervention was undertaken to troubleshoot practical issues with intervention integration in clinical practice. Design: Observational clinical field testing. Setting: Medical oncology breast service in a UK cancer centre. Participants: 12 patients receiving chemotherapy for early breast cancer and 10 health professionals (oncologists and specialist nurses). Intervention: Patients were asked to use the eRAPID intervention and complete weekly online symptom reports during four cycles of chemotherapy. Clinical staff were invited to access and use patient data in clinical assessments. Analysis: Descriptive data on the frequency of online symptom report completion and severe symptom notifications were collated. Verbal and written feedback was collected from patients and staff and semistructured interviews were conducted to explore patient experiences. Interviews were transcribed and analysed thematically. Results: The testing ran from January 2014 to March 2014. Feedback from patients and staff was largely positive. Patients described eRAPID as ‘reassuring’ and ‘comforting’ and valued the tailored management advice. Several changes were made to refine eRAPID. In particular, improvement of the clinical notification, patient reminder systems and changes to patient and staff training. Conclusions: The field testing generated valuable results used to guide refinement of eRAPID prior to formal intervention evaluation. Feedback indicated that eRAPID has the potential to improve patients’ self-efficacy, knowledge and confidence with managing symptoms during treatment. A large-scale RCT is underway with data collection due to finish in October 2018

    Remyelination Induced by a DNA Aptamer in a Mouse Model of Multiple Sclerosis

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    Multiple sclerosis (MS) is a debilitating inflammatory disease of the central nervous system (CNS) characterized by local destruction of the insulating myelin surrounding neuronal axons. With more than 200 million MS patients worldwide, the absence of treatments that prevent progression or induce repair poses a major challenge. Anti-inflammatory therapies have met with limited success only in preventing relapses. Previous screening of human serum samples revealed natural IgM antibodies that bind oligodendrocytes and promote both cell signaling and remyelination of CNS lesions in an MS model involving chronic infection of susceptible mice by Theiler’s encephalomyelitis virus and in the lysolecithin model of focal demyelination. This intriguing result raises the possibility that molecules with binding specificity for oligodendrocytes or myelin components may promote therapeutic remyelination in MS. Because of the size and complexity of IgM antibodies, it is of interest to identify smaller myelin-specific molecules with the ability to promote remyelination in vivo. Here we show that a 40-nucleotide single-stranded DNA aptamer selected for affinity to murine myelin shows this property. This aptamer binds multiple myelin components in vitro. Peritoneal injection of this aptamer results in distribution to CNS tissues and promotes remyelination of CNS lesions in mice infected by Theiler’s virus. Interestingly, the selected DNA aptamer contains guanosine-rich sequences predicted to induce folding involving guanosine quartet structures. Relative to monoclonal antibodies, DNA aptamers are small, stable, and non-immunogenic, suggesting new possibilities for MS treatment

    Asking the right questions to get the right answers: Using cognitive interviews to review the acceptability, comprehension and clinical meaningfulness of patient self-report adverse event items in oncology patients

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    Background: Standardized reporting of treatment-related adverse events (AE) is essential in clinical trials, usually achieved by using the National Cancer Institute (NCI) Common Terminology Criteria for Adverse Events (CTCAE) reported by clinicians. Patient-reported adverse events (PRAE) may add value to clinician assessments, providing patient perspective on subjective toxicity. We developed an online patient symptom report and self-management system for real-time reporting and managing AE during cancer treatment integrated with electronic patient records (eRAPID). As part of this program we developed a patient version of the CTCAE (version 4.0), rephrasing terminology into a self-report format. We explored patient understanding of these items via cognitive interviews. Material and method: Sixty patients (33 female, 27 male) undergoing treatment were purposively sampled by age, gender and tumor group (median age 61.5, range 35–84, 12 breast, 12 gynecological, 13 colorectal, 12 lung and 11 renal). Twenty-one PRAE items were completed on a touch-screen computer. Subsequent audio-recorded cognitive interviews and thematic analysis explored patients’ comprehension of items via verbal probing techniques during three interview rounds (n = 20 patients/round). Results: In total 33 item amendments were made; 29% related to question comprehension, 73% response option and 3% order effects. These amendments to phrasing and language improved patient understanding but maintained CTCAE grading and key medical information. Changes were endorsed by members of a patient advisory group (N = 11). Conclusion: Item adaptations resulted in a bank of consistently interpreted self-report AE items for use in future research program. In-depth analysis of items through cognitive interviews is an important step towards developing an internationally valid system for PRAE, thus improving patient safety and experiences during cancer treatment
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