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Titlebook: Aufgaben und Lösungen zur Höheren Mathematik 1; Klaus Höllig,Jörg Hörner Textbook 20192nd edition Springer-Verlag GmbH Deutschland, ein Te

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Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction methods can reconstruct high-quality images from undersampled data. However, it is essential to consider fairness in DL algorithms, particularly in terms of demographic characteristics. This study presents the first fairness analysis in a DL-based brain MRI reconstruction model. The model utilises
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Personal Recovery Within Forensic Settingseen as a sequential process of developing a sense of safety and security, expression and understanding of personal trauma and experience, developing sense of personal identity and competence and final individuation and self-expression.
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olutions based upon both data-flow analysis (communication costs) and program syntax (program structure) are proposed and have been implemented in our programming environment. Finally, we present and analyze graph allocation and optimization schemes to improve the performance of the resulting occam program.
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J. T. Ward,W. Hamish Fraserérêt de ceuxci sera discuté dans le présent chapitre. Cependant, schématiquement, le réanimateur a le choix entre l’utilisation de paramètres dérivés des mesures hémodynamiques classiques et l’utilisation de l’échographie cardiaque. Dans tous les cas, le débit cardiaque seul n’est pas un bon reflet
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