41 resultados para Results Based Management
em QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast
Resumo:
Management of dyspepsia remains a controversial area. Although the European Helicobacter pylori study group has advised empirical eradication therapy without oesophagogastroduodenoscopy (OGD) in young H pylori positive dyspeptic patients who do not exhibit alarm symptoms, this strategy has not been subjected to clinical trial.
Resumo:
Autism Spectrum Disorder (ASD) is diagnosed along a continuum of behavioural variants in social communication and repetitive behaviours [96]. Most individuals on the autism spectrum also experience differences in sensory perception. Some individuals on the spectrum are ‘high-functioning’ and able to cope in every day environments, while others are severely affected, non-verbal, and may have co-occurring diagnoses, such as intellectual disability, epilepsy, and/or obsessional, conduct, or mental health disorders. These individuals require substantial support, caring and careful management, and evidence-based, effective interventions.
Resumo:
MOTIVATION: Data from RNA-seq experiments provide us with many new possibilities to gain insights into biological and disease mechanisms of cellular functioning. However, the reproducibility and robustness of RNA-seq data analysis results is often unclear. This is in part attributed to the two counter acting goals of (a) a cost efficient and (b) an optimal experimental design leading to a compromise, e.g., in the sequencing depth of experiments.
RESULTS: We introduce an R package called samExploreR that allows the subsampling (m out of n bootstraping) of short-reads based on SAM files facilitating the investigation of sequencing depth related questions for the experimental design. Overall, this provides a systematic way for exploring the reproducibility and robustness of general RNA-seq studies. We exemplify the usage of samExploreR by studying the influence of the sequencing depth and the annotation on the identification of differentially expressed genes.
AVAILABILITY: Availability: samExploreR is available as an R package from Bioconductor (after acceptance of the paper, download link: http://www.bio-complexity.com/samExploreR_1.0.0.tar.gz).
Resumo:
Policy-based management is considered an effective approach to address the challenges of resource management in large complex networks. Within the IU-ATC QoS Frameworks project, a policy-based network management framework, CNQF (Converged Networks QoS Framework) is being developed aimed at providing context-aware, end-to-end QoS control and resource management in converged next generation networks. CNQF is designed to provide homogeneous, transparent QoS control over heterogeneous access technologies by means of distributed functional entities that co-ordinate the resources of the transport network through policy-driven decisions. In this paper, we present a measurement-based evaluation of policy-driven QoS management based on CNQF architecture, with real traffic flows on an experimental testbed. A Java based implementation of the CNQF Resource Management Subsystem is deployed on the testbed and results of the experiments validate the framework operation for policy-based QoS management of real traffic flows.
Resumo:
Li-ion batteries have been widely used in electric vehicles, and battery internal state estimation plays an important role in the battery management system. However, it is technically challenging, in particular, for the estimation of the battery internal temperature and state-ofcharge (SOC), which are two key state variables affecting the battery performance. In this paper, a novel method is proposed for realtime simultaneous estimation of these two internal states, thus leading to a significantly improved battery model for realtime SOC estimation. To achieve this, a simplified battery thermoelectric model is firstly built, which couples a thermal submodel and an electrical submodel. The interactions between the battery thermal and electrical behaviours are captured, thus offering a comprehensive description of the battery thermal and electrical behaviour. To achieve more accurate internal state estimations, the model is trained by the simulation error minimization method, and model parameters are optimized by a hybrid optimization method combining a meta-heuristic algorithm and the least square approach. Further, timevarying model parameters under different heat dissipation conditions are considered, and a joint extended Kalman filter is used to simultaneously estimate both the battery internal states and time-varying model parameters in realtime. Experimental results based on the testing data of LiFePO4 batteries confirm the efficacy of the proposed method.
Resumo:
Stakeholder participation is viewed as a key element of ecosystem-based marine spatial planning (MSP). There is much debate over the effectiveness of stakeholder participation in ecosystem-based management (EBM) in general and over the form it should take. Particular challenges relating to participation in the marine environment are highlighted. A study of the Eastern Scotian Shelf Integrated Management initiative, which uses a collaborative planning model to implement EBM, is presented in order to explore these issues further. Criteria derived from a review of collaborative planning literature are employed to evaluate the effectiveness of this model, which is found to be a useful consensus-building tool. Although a strategic-level plan has been adopted, the initiative has encountered difficulties transitioning from plan development to plan implementation. These are attributable in large measure to deficiencies in the design of the collaborative model. Useful lessons relating mainly to stakeholder engagement, the role of the lead agency, and implementation strategies are advanced for those engaging in MSP processes.
Resumo:
Musculoskeletal (MSK) complaints are common within primary care (1) (2) (3) but some General Practitioners (GPs)/family physicians do not feel comfortable managing these symptoms (3), preferring to refer onto hospital specialists or Integrated Clinical Assessment and Treatment Services (ICATs). Long waiting times for hospital outpatient reviews are a major cause of patient inconvenience and complaints (4). We therefore aimed to establish a GP-ran MSK and sport and exercise medicine (SEM) clinic based within a Belfast GP surgery that would contribute to a sustainable improvement in managing these common conditions within primary care as well as reducing waiting times for patients with these conditions to see a specialist. This shift from hospital-based to community-based management is in-keeping with recent policy changes within the UK health-system, including Transforming Your Care within Northern Ireland (NI) (5). The GP-ran MSK and SEM clinic was held monthly within a Belfast GP practice, staffed by one GP with a specialist interest in MSK and SEM conditions and its performance was reviewed over a three month period. Parameters audited included cases seen, orthopaedic and x-ray referral rates and secondary care referrals comparing the GP practice’s performance to the same time period in the previous year as well as patient satisfaction questionnaires.
Resumo:
Demand for intelligent surveillance in public transport systems is growing due to the increased threats of terrorist attack, vandalism and litigation. The aim of intelligent surveillance is in-time reaction to information received from various monitoring devices, especially CCTV systems. However, video analytic algorithms can only provide static assertions, whilst in reality, many related events happen in sequence and hence should be modeled sequentially. Moreover, analytic algorithms are error-prone, hence how to correct the sequential analytic results based on new evidence (external information or later sensing discovery) becomes an interesting issue. In this paper, we introduce a high-level sequential observation modeling framework which can support revision and update on new evidence. This framework adapts the situation calculus to deal with uncertainty from analytic results. The output of the framework can serve as a foundation for event composition. We demonstrate the significance and usefulness of our framework with a case study of a bus surveillance project.
Resumo:
The problem-Musculoskeletal (MSK) symptoms are common within primary care but some GPs are not comfortable managing these; waiting times for hospital appointments are a major cause of patients’ complaints. Current UK healthcare policies emphasise a need for more community-based management. We aimed to pilot an innovative general practice-based clinic to improve the management of MSK and Sport and Exercise Medicine (SEM) symptoms within general practice.
The approach-This project was conducted in an inner-city practice of approximately 9,000 patients and 5 GP partners. The practice commissioned a novel monthly 4-hour clinic staffed by one GP with a specialist interest in MSK and SEM conditions. Each patient was allocated a 20-minute appointment. All primary care staff within the practice could refer any patient for whom they considered hospital referral appropriate, with no specific exclusion criteria. Management plans included injection therapy, exercise prescription and onward referral. After three months (August-October 2014) numbers of consultations, sources of referral, reasons for referral and management outcomes were described; patient satisfaction was assessed by questionnaire, offered to 10 randomly selected patients by reception staff and self-completed by patients. Costs of the clinic were compared to current options.
Findings- All patients (14 males; 21 females; aged 35-77 years), were seen within four weeks of referral (one third of orthopaedic referrals in 2013 waited over 9 weeks for appointment). Most were referred from other GPs; some came from physiotherapy and podiatry. Shoulder problems were the most frequent reason for referral. The commonest management option was steroid injection, with most patients being given advice regarding exercise and analgesia; there were 3 onward referrals (2 physiotherapy; 1 rheumatology).
Comparing August-October data in 2014 and 2013, total, orthopaedic and rheumatology referrals were reduced by 147, 2 and 3, respectively; within the practice MSK presentations and physiotherapy and x-ray referrals were 60, 47 and 90 fewer, respectively.
The cost per attendance at the clinic was £61; initial orthopaedic-ICAT assessments cost £82 and a consultant appointment £213.
Satisfaction questionnaires were returned by all 10 selected participants and provided positive feedback, expressing preference for community-based, rather than hospital, management.
Consequence- Our pilot study indicates that this novel service model has potential for efficient and effective management of MSK and SEM complaints in primary care, reducing the need for hospital referral and the clinical burden on general practices. The innovation deserves further evaluation in a full-scale trial to determine its generalisability to other practice settings and populations.
Resumo:
International policy frameworks such as the Common Fisheries Policy and the European Marine Strategy Framework Directive define high-level strategic goals for marine ecosystems. Strategic goals are addressed via general and operational management objectives. To add credibility and legitimacy to the development of objectives, for this study stakeholders explored intermediate level ecological, economic and social management objectives for Northeast Atlantic pelagic ecosystems. Stakeholder workshops were undertaken with participants being free to identify objectives based on their own insights and needs. Overall 26 objectives were proposed, with 58% agreement in proposed objectives between two workshops. Based on published evidence for pressure-state links, examples of operational objectives and suitable indicators for each of the 26 objectives were then selected. It is argued that given the strong species-specific links of pelagic species with the environment and the large geographic scale of their life cycles, which contrast to demersal systems, pelagic indicators are needed at the level of species (or stocks) independent of legislative region. Pelagic community indicators may be set at regional scale in some cases. In the evidence-based approach used in this study, the selection of species or region specific operational objectives and indicators was based on demonstrated pressure-state links. Hence observed changes in indicators can reliably inform on appropriate management measures
Resumo:
Background
Neighbourhood segregation has been described as a fundamental determinant of physical health, but literature on its effect on mental health is less clear. Whilst most previous research has relied on conceptualized measures of segregation, Northern Ireland is unique as it contains physical manifestations of segregation in the form of segregation barriers (or “peacelines”) which can be used to accurately identify residential segregation.
Methods
We used population-wide health record data on over 1.3 million individuals, to analyse the effect of residential segregation, measured by both the formal Dissimilarity Index and by proximity to a segregation barrier, on the likelihood of poor mental health.
Results
Using multi-level logistic regression models we found residential segregation measured by the Dissimilarity Index poses no additional risk to the likelihood of poor mental health after adjustment for area-level deprivation. However, residence in an area segregated by a “peaceline” increases the likelihood of antidepressant medication by 19% (OR=1.19, 95% CI: 1.14, 1.23) and anxiolytic medication by 39% (OR=1.39, 95% CI: 1.32, 1.48), even after adjustment for gender, age, conurbation, deprivation and crime.
Conclusions
Living in an area segregated by a ‘peaceline’ is detrimental to mental health suggesting segregated areas characterised by a heightened sense of ‘other’ pose a greater risk to mental health. The difference in results based on segregation measure highlights the importance of choice of measure when studying segregation.
Resumo:
Course Scheduling consists of assigning lecture events to a limited set of specific timeslots and rooms. The objective is to satisfy as many soft constraints as possible, while maintaining a feasible solution timetable. The most successful techniques to date require a compute-intensive examination of the solution neighbourhood to direct searches to an optimum solution. Although they may require fewer neighbourhood moves than more exhaustive techniques to gain comparable results, they can take considerably longer to achieve success. This paper introduces an extended version of the Great Deluge Algorithm for the Course Timetabling problem which, while avoiding the problem of getting trapped in local optima, uses simple Neighbourhood search heuristics to obtain solutions in a relatively short amount of time. The paper presents results based on a standard set of benchmark datasets, beating over half of the currently published best results with in some cases up to 60% of an improvement.