10 research outputs found

    Why High-Performance Modelling and Simulation for Big Data Applications Matters

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    Modelling and Simulation (M&S) offer adequate abstractions to manage the complexity of analysing big data in scientific and engineering domains. Unfortunately, big data problems are often not easily amenable to efficient and effective use of High Performance Computing (HPC) facilities and technologies. Furthermore, M&S communities typically lack the detailed expertise required to exploit the full potential of HPC solutions while HPC specialists may not be fully aware of specific modelling and simulation requirements and applications. The COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications has created a strategic framework to foster interaction between M&S experts from various application domains on the one hand and HPC experts on the other hand to develop effective solutions for big data applications. One of the tangible outcomes of the COST Action is a collection of case studies from various computing domains. Each case study brought together both HPC and M&S experts, giving witness of the effective cross-pollination facilitated by the COST Action. In this introductory article we argue why joining forces between M&S and HPC communities is both timely in the big data era and crucial for success in many application domains. Moreover, we provide an overview on the state of the art in the various research areas concerned

    The effect of new emergency program on patient length of stay in a teaching hospital emergency department of Tehran

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    Background and Aim: Ideally, the period of patients admitting in the Emergency Department (ED) should not exceed 6 hours. Prolonged of the patients admitting time affects the ED overcrowding, quality of patient care and patient satisfaction. To evaluate the efficacy of new programs and suggest new strategies to reduce the overcrowding in a typical overcrowded ED of general teaching hospital in Tehran city. Materials and Methods: In this descriptive case study, charts of patients held over 24 hours, in Imam Hossein Hospital affiliated to the Shaheed Beheshti Medical University, were reviewed from April 21 rd on August 23 rd , 2008. Results: Of 15,477 patients, 151 (1%) have been held in the ED over 24 hours. Reasons for this long-stay included:lack of available bed in Intensive Care Unit (ICU) (125 patients), lack of available bed in related wards (18 patients), poor final decision - making by physician (eight patient) Conclusion: Long-term stay of patients in ED of teaching hospital is a major problem. The most frequent cause is a limitation of inpatient beds. The long stay time had not been affected by paraclinic procedures, multispecialities involvement or the lack of obvious diagnosis. The following solution is proposed: (1) creation of a holding unit, (2) active inter-facility transfer and (3) governing admittance of patients who need ICU care to related wards

    The efficacy of relaxation training on stress, anxiety, and pain perception in hemodialysis patients

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    Patients on dialysis experience psychological distress, which can impact pain perception. Reduction of stress and anxiety in patients provides psychological resources to cope with their physical condition. We examined the efficacy of relaxation training on stress, anxiety, and pain perception of hemodialysis (HD) patients. eighty HD patients were randomized into two groups (intervention and control). Benson relaxation training was implemented in the intervention group for 15 min twice daily during 4 weeks. Pain perception, stress, and anxiety scale were evaluated before and after intervention. There were significant differences between pain perception, stress, and anxiety levels in case group before and after intervention (P < 0.001) and there was a correlation between pain perception with stress and anxiety. Instructing Benson′s relaxation technique is accompanied by reducing pain, stress, and anxiety level of HD patients. Reducing stress and anxiety can provide calmness for the patients so that pursuing medical therapy would be accompanied with more tranquility and low pain intensity. We suggest improving and preventing the patients′ psychological problems as well as other chronic disorders through applying nonpharmacological interventions

    Graphene impregnated electrospun nanofiber sensing materials: a comprehensive overview on bridging laboratory set-up to industry

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