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Titlebook: Immunoendocrinology: Scientific and Clinical Aspects; George S. Eisenbarth Book 2011 Springer Science+Business Media, LLC 2011 Endocrinolo

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楼主: fallacy
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https://doi.org/10.1007/978-3-030-82446-4lregelkreis der Gleichstrommaschine behandelt werden. Alle Betrachtungen beziehen sich dabei auf die heute vorwiegend zum Einsatz kommenden Nebenschlußmotoren mit Fremderregung. Analog zu den Ausführungen im Buch „Elektrische Antriebe — Grundlagen“ [57–61], wird für das mathematische Modell ein idea
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Marc Bühlmannend durch Zuordnung und Abgrenzung, der Lohn definiert. Er ist das vertragsmäßige Ent­ gelt, das der Arbeitgeber gemäß einem Arbeitsvertrag dem Arbeiter für geleistete Arbeit zu zahlen verpflichtet ist. Eine Orientierung an unterschiedlichen, je für sich wesentlichen Lohnbegriffen zeigt, daß der ,le
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Kamil Ekštein,Lubomír Krčmář as a whole, may become less effective when the number of constraints is large, termed many-constraint optimization problems (MCOPs). Since different constraints usually pose different degrees of difficulty to optimization problems (the constraint satisfying order may also be defined by a decision-m
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Local and Global Search Based PSO Algorithmo groups have different focuses when all the particles are searching the problem space. The first group of particles will search the area around the best experience of their neighbours. The particles in the second group are influenced by the best experience of their neighbors and the individual best
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Performance Evaluation of Novel Feature Selection Method for Classification of Diabetic Drugs Basedcessing approaches in this topic is feature selection method to crystallize a feature set. Comparison of feature selection methods can be done on diabetic drugs, for side effect prediction improvement. The feature selection phase mostly facilitates in sharpening features that are utilized as input f
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The Importance of Trace Elements During the Years of Growth,n and iodine deficiencies was appreciated, this did not apply to the broader concept of “trace element nutrition” as a whole. However, while many gaps in our knowledge remain, recent progress has been very substantial. As a consequence, it is unnecessary to start with any justification of the releva
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Machine Learning Tools to Predict the Impact of Quarantine, a pandemic by World Health Organization. Quarantine, which refers to strict isolation, helps to prevent the spread of the disease. However, the prediction and analysis of the impact of the quarantine in containing the disease still remain a challenge. Such predictions may provide assistance to the
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