872 resultados para optimisation discrète
Resumo:
Non-nephrotoxic immunosuppressive strategies that allow reduction of calcineurin-inhibitor exposure without compromising safety or efficacy remain a goal in kidney transplantation. Immunosuppression based on the mammalian-target-of-rapamycin inhibitor everolimus was assessed as a strategy for elimination of calcineurin-inhibitor exposure and optimisation of renal-graft function while maintaining efficacy.
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In this paper we present a new population-based implant design methodology, which advances the state-of-the-art approaches by combining shape and bone quality information into the design strategy. The method enhances the mechanical stability of the fixation and reduces the intra-operative in-plane bending which might impede the functionality of the locking mechanism. The method is presented for the case of mandibular locking fixation plates, where the mandibular angle and the bone quality at screw locations are taken into account. Using computational anatomy techniques, the method automatically derives, from a set of computed tomography images, the mandibular angle and the bone thickness and intensity values at the path of every screw. An optimisation strategy is then used to optimise the two parameters of plate angle and screw position. Results for the new design are presented along with a comparison with a commercially available mandibular locking fixation plate. A statistically highly significant improvement was observed. Our experiments allowed us to conclude that an angle of 126° and a screw separation of 8mm is a more suitable design than the standard 120° and 9mm.
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A longer duration of untreated psychosis (DUP) as well as of untreated illness (DUI) was found to be associated with a negative course of psychosis. Thus, increasing efforts are made to reduce the DUP and provide adequate treatment as early as possible. But, in order to overcome obstacles to early help-seeking, these have to be identified first. Thus, an overview on initial help-seeking behaviour and predictors of DUP is given. Across 25 identified studies, the DUP, at about one year on average, is still unfavourably long and includes on average of three help-seeking contacts prior to the initiation of adequate treatment. Since negative factors in pathways-to-care involve features on all relevant levels (patient, social environment and health-care system), an optimisation of pathways-to-care will require the integration of services and continuous awareness programmes targeting the general population and mental health-care professionals.
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Khutoretsky dealt with the problem of maximising a linear utility function (MUF) over the set of short-term equilibria in a housing market by reducing it to a linear programming problem, and suggested a combinatorial algorithm for this problem. Two approaches to the market adjustment were considered: the funding of housing construction and the granting of housing allowances. In both cases, locally optimal regulatory measures can be developed using the corresponding dual prices. The optimal effects (with the regulation expenditures restricted by an amount K) can be found using specialised models based on MUF: a model M1 for choice of the optimum structure of investment in housing construction, and a model M2 for optimum distribution of housing allowances. The linear integer optimisation problems corresponding to these models are initially difficult but can be solved after slight modifications of the parameters. In particular, the necessary modification of K does not exceed the maximum construction cost of one dwelling (for M1) or the maximum size of one housing allowance (for M2). The result is particularly useful since slight modification of K is not essential in practice.
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Location-awareness indoors will be an inseparable feature of mobile services/applications in future wireless networks. Its current ubiquitous availability is still obstructed by technological challenges and privacy issues. We propose an innovative approach towards the concept of indoor positioning with main goal to develop a system that is self-learning and able to adapt to various radio propagation environments. The approach combines estimation of propagation conditions, subsequent appropriate channel modelling and optimisation feedback to the used positioning algorithm. Main advantages of the proposal are decreased system set-up effort, automatic re-calibration and increased precision.
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Oesophageal and fundic varices belong to the most frequent complications of cirrhosis and portal hypertension. Due to their significant morbidity and mortality, bleedings from oesophageal or fundic varices represent a challenge for the emergency medical team as well as for the gastroenterologist. The patient with a variceal bleeding should be accurately monitored and his/her hemodynamic parameters should be maintained stable with the administration of plasma expanders and blood units when indicated. An antibiotic prophylaxis in this setting--norfloxacin or ceftriaxon--has been demonstrated to significantly reduce morbidity and mortality. Additionally, the early administration of vasoactive compounds, such as terlipressin, somatostatin or octreotide, is associated with beneficial effects in reducing the bleeding. An upper gastrointestinal endoscopy should be generally performed within the first twelve hours from the beginning of the bleeding in order to obtain an accurate diagnosis and to provide an adequate treatment. Endoscopic procedures to control the bleeding include the rubber band ligation, the treatment of the varix with a sclerosing agent or the injection of tissue glue into the varix. In case of recurrent bleeding, beyond the above methods, different techniques, such as the transjugular porto-caval shunt, surgical shunt procedures, as well as embolisation of splanchnic blood vessels, represent additional therapeutic options. However, they are associated with very high mortality rates and their indication has to be discussed case by case by an interdisciplinary team of experts. Future therapies include the optimisation and the improvement of the current medical and endoscopic armamentarium, as well as the application of treatments to novel targets, such as the coagulation cascade.
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Healthcare professionals and the public have increasing concerns about the ability of emergency departments to meet current demands. Increased demand for emergency services, mainly caused by a growing number of minor and moderate injuries has reached crisis proportions, especially in the United Kingdom. Numerous efforts have been made to explore the complex causes because it is becoming more and more important to provide adequate healthcare within tight budgets. Optimisation of patient pathways in the emergency department is therefore an important factor. This paper explores the possibilities offered by dynamic simulation tools to improve patient pathways using the emergency department of a busy university teaching hospital in Switzerland as an example.
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Two series of closely related antimalarial agents, 7-chloro-4-(3’,5’-disubstitutedanilino) quinolines, have been analyzed using Combinatorial Protocol in Multiple Linear Regression (CP-MLR) for the structure-activity relations with more than 450 topological descriptors for each set. The study clearly suggested that 3’- and 5’- substituents of the anilino moiety map different domains in the activity space. While one domain favors the compact structural frames having aromatic, heterocyclic ring(s) substituted with closely spaced F, NO2 and O functional groups, the other prefers structural frames enriched with unsaturation, loops, branches, electronic content and devoid of carbonyl function. Also, this study gives an indication in favour of the electron rich centres in the aniline substituent groups for better antimalarial activity; an observation in line with several of the previous reports too. The models developed and the participating descriptors suggest that the substituent groups of the 4-anilino moiety of the 4-(3’, 5’-disubstitutedanilino)quinolines hold scope for further modification in the optimisation of the antimalarial activity.
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Type 1 diabetes mellitus is a chronic disease characterized by blood glucose levels out of normal range due to inability of insulin production. This dysfunction leads to many short- and long-term complications. In this paper, a system for tele-monitoring and tele-management of Type 1 diabetes patients is proposed, aiming at reducing the risk of diabetes complications and improving quality of life. The system integrates Wireless Personal Area Networks (WPAN), mobile infrastructure, and Internet technology along with commercially available and novel glucose measurement devices, advanced modeling techniques, and tools for the intelligent processing of the available diabetes patients information. The integration of the above technologies enables intensive monitoring of blood glucose levels, treatment optimisation, continuous medical care, and improvement of quality of life for Type 1 diabetes patients, without restrictions in everyday life activities.
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The distance learning programme has made its entrance into nursing education, and many see it as a break with the education’s traditions of teaching in the classroom, in practise rooms and at the patient’s bedside (Chaffin & Maddux 2004). Traditionally, many of the technical skills and personal qualities that nurses must acquire are learned through interaction with others. The distance learning programme has therefore given rise to some new problems and challenges, and this article discusses some of these. Empirically, the article builds on a comparative study of three student nurse classes from two Danish nursing schools, including one based on the distance learning programme. By following both distance learning and traditional nursing students in their clinical training, light is cast upon the differences and similarities that may exist in the clinical skills and competences that the students gain under the two programmes. Theoretically the article builds on Etienne Wengers theory on learning in communities of practice, focusing on the relationship between experience and competence in learning related communities of practice (Wenger 1998;Wenger 2004) . The article contributes with findings that are related to the differences between the programmes and the different types of students that each programme attracts. The article argues that an increased didactic and pedagogical focus upon the field of tension between experience and competence will enable an optimisation of the learning conditions of the distance learning students in their clinical teaching. The article, in conclusion, thus places focus on the questions surrounding teaching design in relation to the distance learning programme.
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BACKGROUND Prognostic classification of congestive heart failure (CHF) is difficult and only possible with the help of additional diagnostic tools. B-type natriuretic peptide (BNP) has been used as a diagnostic and prognostic marker for patients (pts) with CHF. In this study, the clinical value of BNP for stratification and treatment of pts with CHF was evaluated. PATIENTS AND METHODS 33 out-pts with CHF (age 57 +/- 12 years) were included. Left-ventricular (LV) ejection fraction (EF) was 27 +/- 8% (mean +/- SD) and NYHA-class 2.4 +/- 0.7. Following parameters were measured: BNP and sodium from blood samples, exercise performance from 6-minute walking test (6MWT, meters) (n = 18), LV end-diastolic diameter (LVEDD) and LV mass (LVM) from 2D-echocardiography (n = 33), as well as LV end-diastolic pressure (LVEDP, n = 23) and systemic vascular resistance (SVR, n = 20) from heart-catheterisation. Ten pts were hospitalised in the preceding 6 months because of worsening CHF or for optimisation of medical therapy. BNP was measured at the beginning and end of the hospital-stay. Follow-up was for 1 year. RESULTS Pts with a high NYHA-class had a higher BNP (pg/ml) than those with a low NYHA- class: NYHA I 51 +/- 20, II 281 +/- 223, III 562+/-346 and IV 1061 +/- 126 pg/ml (p = 0.002). BNP correlated with LVEDP (r = 0.50, p <0.02), SVR (r =0.49, p <0.03) and inversely with 6MWT (r =-0.60, p <0.009), LVEF (r = -0.49, p <0.004) and sodium (r = -0.36, p = 0.04). In the hospitalised pts, mean BNP (pg/ml) was 881 +/- 695 at admission,and 532 +/- 435 at discharge (n.s.). Decrease in BNPduring hospitalisation paralleled weight-loss and was significantly greater in patients with >1000 pg/ml BNP at admission (n = 5) as compared to the 5 patients with BNP <1000 (p <0.03). Patients with an adverse event during 1-year follow-up had significantly higher BNP both at steady-state (603 +/-359 pg/ml) and at time of decompensation than patients with a favourable outcome (227 +/- 218 pg/ml,p <0.001). CONCLUSIONS BNP correlates well with the clinical severity of CHF (NYHA-class) and is directly related to filling pressure (LVEDP), LV function(LVEF) and exercise performance (6 MWT). Furthermore, BNP has prognostic impact with regard to adverse clinical events.
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The combination of scaled analogue experiments, material mechanics, X-ray computed tomography (XRCT) and Digital Volume Correlation techniques (DVC) is a powerful new tool not only to examine the 3 dimensional structure and kinematic evolution of complex deformation structures in scaled analogue experiments, but also to fully quantify their spatial strain distribution and complete strain history. Digital image correlation (DIC) is an important advance in quantitative physical modelling and helps to understand non-linear deformation processes. Optical non-intrusive (DIC) techniques enable the quantification of localised and distributed deformation in analogue experiments based either on images taken through transparent sidewalls (2D DIC) or on surface views (3D DIC). X-ray computed tomography (XRCT) analysis permits the non-destructive visualisation of the internal structure and kinematic evolution of scaled analogue experiments simulating tectonic evolution of complex geological structures. The combination of XRCT sectional image data of analogue experiments with 2D DIC only allows quantification of 2D displacement and strain components in section direction. This completely omits the potential of CT experiments for full 3D strain analysis of complex, non-cylindrical deformation structures. In this study, we apply digital volume correlation (DVC) techniques on XRCT scan data of “solid” analogue experiments to fully quantify the internal displacement and strain in 3 dimensions over time. Our first results indicate that the application of DVC techniques on XRCT volume data can successfully be used to quantify the 3D spatial and temporal strain patterns inside analogue experiments. We demonstrate the potential of combining DVC techniques and XRCT volume imaging for 3D strain analysis of a contractional experiment simulating the development of a non-cylindrical pop-up structure. Furthermore, we discuss various options for optimisation of granular materials, pattern generation, and data acquisition for increased resolution and accuracy of the strain results. Three-dimensional strain analysis of analogue models is of particular interest for geological and seismic interpretations of complex, non-cylindrical geological structures. The volume strain data enable the analysis of the large-scale and small-scale strain history of geological structures.
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Over the last two decades, imaging of the aorta has undergone a clinically relevant change. As part of the change non-invasive imaging techniques have replaced invasive intra-arterial digital subtraction angiography as the former imaging gold standard for aortic diseases. Computed tomography (CT) and magnetic resonance imaging (MRI) constitute the backbone of pre- and postoperative aortic imaging because they allow for imaging of the entire aorta and its branches. The first part of this review article describes the imaging principles of CT and MRI with regard to aortic disease, shows how both technologies can be applied in every day clinical practice, offering exciting perspectives. Recent CT scanner generations deliver excellent image quality with a high spatial and temporal resolution. Technical developments have resulted in CT scan performed within a few seconds for the entire aorta. Therefore, CT angiography (CTA) is the imaging technology of choice for evaluating acute aortic syndromes, for diagnosis of most aortic pathologies, preoperative planning and postoperative follow-up after endovascular aortic repair. However, radiation dose and the risk of contrast induced nephropathy are major downsides of CTA. Optimisation of scan protocols and contrast media administration can help to reduce the required radiation dose and contrast media. MR angiography (MRA) is an excellent alternative to CTA for both diagnosis of aortic pathologies and postoperative follow-up. The lack of radiation is particularly beneficial for younger patients. A potential side effect of gadolinium contrast agents is nephrogenic systemic fibrosis (NSF). In patients with high risk of NSF unenhanced MRA can be performed with both ECG- and breath-gating techniques. Additionally, MRI provides the possibility to visualise and measure both dynamic and flow information.
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This paper addresses the novel notion of offering a radio access network as a service. Its components may be instantiated on general purpose platforms with pooled resources (both radio and hardware ones) dimensioned on-demand, elastically and following the pay-per-use principle. A novel architecture is proposed that supports this concept. The architecture's success is in its modularity, well-defined functional elements and clean separation between operational and control functions. By moving much processing traditionally located in hardware for computation in the cloud, it allows the optimisation of hardware utilization and reduction of deployment and operation costs. It enables operators to upgrade their network as well as quickly deploy and adapt resources to demand. Also, new players may easily enter the market, permitting a virtual network operator to provide connectivity to its users.
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Due to the ongoing trend towards increased product variety, fast-moving consumer goods such as food and beverages, pharmaceuticals, and chemicals are typically manufactured through so-called make-and-pack processes. These processes consist of a make stage, a pack stage, and intermediate storage facilities that decouple these two stages. In operations scheduling, complex technological constraints must be considered, e.g., non-identical parallel processing units, sequence-dependent changeovers, batch splitting, no-wait restrictions, material transfer times, minimum storage times, and finite storage capacity. The short-term scheduling problem is to compute a production schedule such that a given demand for products is fulfilled, all technological constraints are met, and the production makespan is minimised. A production schedule typically comprises 500–1500 operations. Due to the problem size and complexity of the technological constraints, the performance of known mixed-integer linear programming (MILP) formulations and heuristic approaches is often insufficient. We present a hybrid method consisting of three phases. First, the set of operations is divided into several subsets. Second, these subsets are iteratively scheduled using a generic and flexible MILP formulation. Third, a novel critical path-based improvement procedure is applied to the resulting schedule. We develop several strategies for the integration of the MILP model into this heuristic framework. Using these strategies, high-quality feasible solutions to large-scale instances can be obtained within reasonable CPU times using standard optimisation software. We have applied the proposed hybrid method to a set of industrial problem instances and found that the method outperforms state-of-the-art methods.