830 resultados para firm objective


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Most recently discussion about the optimal treatment for different subsets of patients suffering from coronary artery disease has re-emerged, mainly because of the uncertainty caused by doctors and patients regarding the phenomenon of unpredictable early and late stent thrombosis. Surgical revascularization using multiple arterial bypass grafts has repeatedly proven its superiority compared to percutaneous intervention techniques, especially in patients suffering from left main stem disease and coronary 3-vessels disease. Several prospective randomized multicenter studies comparing early and mid-term results following PCI and CABG have been really restrictive, with respect to patient enrollment, with less than 5% of all patients treated during the same time period been enrolled. Coronary artery bypass grafting allows the most complete revascularization in one session, because all target coronary vessels larger than 1 mm can be bypassed in their distal segments. Once the patient has been turn-off for surgery, surgeons have to consider the most complete arterial revascularization in order to decrease the long-term necessity for re-revascularization; for instance patency rate of the left internal thoracic artery grafted to the distal part left anterior descending artery may be as high as 90-95% after 10 to 15 years. Early mortality following isolated CABG operation has been as low as 0.6 to 1% in the most recent period (reports from the University Hospital Berne and the University Hospital of Zurich); beside these excellent results, the CABG option seems to be less expensive than PCI with time, since the necessity for additional PCI is rather high following initial PCI, and the price of stent devices is still very high, particularly in Switzerland. Patients, insurance and experts in health care should be better and more honestly informed concerning the risk and costs of PCI and CABG procedures as well as about the much higher rate of subsequent interventions following PCI. Team approach for all patients in whom both options could be offered seems mandatory to avoid unbalanced information of the patients. Looking at the recent developments in transcatheter valve treatments, the revival of cardiological-cardiosurgical conferences seems to a good option to optimize the cooperation between the two medical specialties: cardiology and cardiac surgery.

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The objective of this retrospective study was to assess image quality with pulmonary CT angiography (CTA) using 80 kVp and to find anthropomorphic parameters other than body weight (BW) to serve as selection criteria for low-dose CTA. Attenuation in the pulmonary arteries, anteroposterior and lateral diameters, cross-sectional area and soft-tissue thickness of the chest were measured in 100 consecutive patients weighing less than 100 kg with 80 kVp pulmonary CTA. Body surface area (BSA) and contrast-to-noise ratios (CNR) were calculated. Three radiologists analyzed arterial enhancement, noise, and image quality. Image parameters between patients grouped by BW (group 1: 0-50 kg; groups 2-6: 51-100 kg, decadally increasing) were compared. CNR was higher in patients weighing less than 60 kg than in the BW groups 71-99 kg (P between 0.025 and <0.001). Subjective ranking of enhancement (P = 0.165-0.605), noise (P = 0.063), and image quality (P = 0.079) did not differ significantly across all patient groups. CNR correlated moderately strongly with weight (R = -0.585), BSA (R = -0.582), cross-sectional area (R = -0.544), and anteroposterior diameter of the chest (R = -0.457; P < 0.001 all parameters). We conclude that 80 kVp pulmonary CTA permits diagnostic image quality in patients weighing up to 100 kg. Body weight is a suitable criterion to select patients for low-dose pulmonary CTA.

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The procurement of transportation services via large-scale combinatorial auctions involves a couple of complex decisions whose outcome highly influences the performance of the tender process. This paper examines the shipper's task of selecting a subset of the submitted bids which efficiently trades off total procurement cost against expected carrier performance. To solve this bi-objective winner determination problem, we propose a Pareto-based greedy randomized adaptive search procedure (GRASP). As a post-optimizer we use a path relinking procedure which is hybridized with branch-and-bound. Several variants of this algorithm are evaluated by means of artificial test instances which comply with important real-world characteristics. The two best variants prove superior to a previously published Pareto-based evolutionary algorithm.

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Master production schedule (MPS) plays an important role in an integrated production planning system. It converts the strategic planning defined in a production plan into the tactical operation execution. The MPS is also known as a tool for top management to control over manufacture resources and becomes input of the downstream planning levels such as material requirement planning (MRP) and capacity requirement planning (CRP). Hence, inappropriate decision on the MPS development may lead to infeasible execution, which ultimately causes poor delivery performance. One must ensure that the proposed MPS is valid and realistic for implementation before it is released to real manufacturing system. In practice, where production environment is stochastic in nature, the development of MPS is no longer simple task. The varying processing time, random event such as machine failure is just some of the underlying causes of uncertainty that may be hardly addressed at planning stage so that in the end the valid and realistic MPS is tough to be realized. The MPS creation problem becomes even more sophisticated as decision makers try to consider multi-objectives; minimizing inventory, maximizing customer satisfaction, and maximizing resource utilization. This study attempts to propose a methodology for MPS creation which is able to deal with those obstacles. This approach takes into account uncertainty and makes trade off among conflicting multi-objectives at the same time. It incorporates fuzzy multi-objective linear programming (FMOLP) and discrete event simulation (DES) for MPS development.

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This paper reviews research findings on entrepreneurial top management teams within the last 20 years. It concentrates on team-based management factors and their influence on a new venture’s growth and ability to raise capital. This paper integrates recent findings and provides an overview of the current state of research. Moreover, it contributes to the overall topic by proposing five clusters of major team-specific influences, derives determinants of success and failure, and reveals recommendations for further research.