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Titlebook: Good Clinical Practice I; Grundlagen und Strat Lothar Lange,Halvor Jaeger,Ingrid Klingmann Conference proceedings 1992 Springer-Verlag Berl

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Toxicant-Induced Hypospadias in the Male Ratntiation can induce malformations of the reproductive tract of the male rodent offspring. The pattern of malformations in the male depends upon the specific mechanism of action of the toxicant, the dosage level administered and the timing of administration during pregnancy. Hypospadias occurs in mal
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Implementing Adaptive Designs: Operational Considerations, Putting It All Together optimal clinical benefits and make informed decisions regarding safety and efficacy earlier in the clinical trial process. However, operational execution can be challenging due to the added complexities of implementing adaptive designs. These complexities deserve additional attention. Key operation
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1876-1100 ioinformatics.Investigates potentially new areas of research.The 30.th. Anniversary of the ISCIS (International Symposium on Computer and Information Sciences) series of conferences, started by Professor Erol Gelenbe at Bilkent University, Turkey, in 1986, will be held at Imperial College London on
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https://doi.org/10.1007/978-3-319-94839-3 theme; solving and discussing a mathematics task to anticipate student thinking; developing a shared teaching-learning plan; collecting data during the enacted research lesson; and, conducting a post-lesson discussion.
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ening and the availability of previously unexplored archives but also the contribution of new scholars with novel approaches in addition to new work by experienced academics, .Cinematic Urban Geographies .demonstrates how we can reread the cinematic past with a view to construct the urban present and anticipate its future. .978-1-137-46084-4
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Analysis of Post-flood Impacts on Sentinel-2 Data Using Non-parametric Machine Learning Classifiers:) classes covering a total area of 1667.26 km. have been identified. All classification results have shown a high Overall Accuracy (OA) ranging from 89% to 92%. The Overall Accuracy and kappa coefficients for pre-flood classified data obtained are RF (89.91%, 0.8772), SVM (89.47%, 0.8718), and k-NN
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