Titlebook: GOÄ 2014; Gebührenordnung für Peter M. Hermanns,Gert Filler,Bärbel Roscher Book 20148th edition Springer-Verlag Berlin Heidelberg 2014 Abr

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Treatment of CMD in Myocardial Diseasesffects on coronary microcirculation in dilated cardiomyopathy. Whether improvement of CMD is associated with some favorable clinical effect, however, remains to be established. There are no studies assessing the effects of therapies in aortic stenosis, myocarditis, and amyloidosis, whereas treatment

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Infectious Diseases and Management After Cardiac Surgery,mplex array of clinical scenarios that may impact and complicate the hospital course of this patient population. Infectious diseases are different from other coexisting medical conditions in several respects. First, patients may have coexisting infectious diseases that may impact perioperative care

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Analytical Methods to Understand Deformation Mechanics in Additively Manufactured Metals,ufactured materials. This makes the qualification of additively manufactured parts difficult, especially in safety critical applications where unexpected material failure can be detrimental. Sandia has been leading multiple efforts to understand the nature of this stochastic behavior by developing m

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fficient.No products or manufacturers are endorsed; therefor.“GNSS - GPS, GLONASS, Galileo and more” is the extension of the scientific bestseller “GPS - Theory and Practice” to Global Navigation Satellite Systems (GNSS) and includes the Russian GLONASS, the European system Galileo, and additional s

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Luisa Mentz,Kyra Reiteranzen im Rahmen der Initiative „Fit für den Wissenswettbewerb“ veröffentlicht. Dieser Leitfaden soll besonders mittelständische Unternehmen dabei unterstützen, ihre Aufmerksamkeit auf das intellektuelle Kapital zu richten, um sich weiterhin Wettbewerbsvorteile und einen Vorsprung auf dem Markt zu si

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Understanding Text Messages for Anxiety Therapy Through Topic Modeling, and topic coherence. Based on the performance, Latent Feature Dirichlet Multinomial Mixture (LFDMM) with α = 0.1, β = 0.01, and K = 8 is found to be the most suitable hyperparameter setting for the anxiety text messages dataset and is used further in the actual experiment with 53 sample text. The