Titlebook: Der Krankenhausmanager; Praktisches Manageme Wilfried Eiff,Hermann Fenger,Stefan F. Winter Book 2002Latest edition Springer-Verlag Berlin H

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A Comparative Study on Multi-objective Evolutionary Algorithms for Tri-objective Mean-Risk-Cardinaliiciency and effectiveness in problems of multi-objective portfolio optimization. Especially we solve the mean-risk-cardinality portfolio optimization problem with six different measures of risk. Three different modern and state-of-the-art Multi-Objective Evolutionary Algorithms (MOEAs) are employed:

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Economic Incentives and Agricultural Exports in Developing CountriesSection 1 introduces a simple econometric model to estimate the effects of price incentives on exports. In Section 2, the model is applied to the exports of goods and non-factor services and to merchandise exports. In Section 3, the same model is used to indicate the effects of price incentives on a

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Book 1990Latest editioncleic acids which are of central importance in all processes involving gene expression. This field has become of practical consequence during the last decade through the development of genetic engineering. Because of the amount of the data available, volume VII/1 had to be divided into several subvo

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Localizing Proteins by Tissue Printing,ail, even without staining, which might be used to record developmental changes over time. In this chapter we will focus on the protocols for the localization of proteins and glycans using antibodies or lectins, probably the most frequently used application, but the localization of other molecules is reported and the sources indicated.

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Thermodynamic approach to catalysis, been analysed for mammary phenotypes. We have developed a simplified method that allows rapid analysis of embryonic mammary anlagen using immunolabelling of whole mounts that should facilitate more comprehensive studies of mouse mammary glands.

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Hybrid Deep Learning Models for Diabetic Retinopathy Classificationstudied models perform two main tasks: deep feature extraction and then classification of diabetic retinopathy according to its severity. The models were trained and validated on a publicly available dataset of 80,000 images and they achieved an accuracy of 80.7%.