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Titlebook: Modeling, Simulation and Optimization of Complex Processes; Proceedings of the I Hans Georg Bock,Hoang Xuan Phu,Rolf Rannacher Conference p

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21#
發(fā)表于 2025-3-25 03:45:03 | 只看該作者
22#
發(fā)表于 2025-3-25 10:30:19 | 只看該作者
23#
發(fā)表于 2025-3-25 13:19:26 | 只看該作者
Design and Synthesis of Ubiquitin-Based Chemical Tools with Unnatural Amino Acids for Selective DetBs). Since DUBs are highly specific toward ubiquitin and exhibit low activity toward shorter peptides, it is challenging to design truly selective chemical tools to investigate one DUB in biological samples. Incorporating amino acids other than canonical LRG at the P4–P2 positions in the Ub improves
24#
發(fā)表于 2025-3-25 19:08:37 | 只看該作者
Daily Deals Usage in the Pandemic Context of the Slovenian Hotels: Technology Adoption Perspectivelied to study the managerial DDs usage in Slovenian hotels. The results show a predominance of organisational and external environmental factors, such as government regulation, linking structures, and industry characteristics, on the usage of DDs. These are shown in a conceptual DDs usage model. The
25#
發(fā)表于 2025-3-25 23:29:03 | 只看該作者
Justification of Textured Wheels Arrangement in Combined Tool and Modeling the Workpiece Temperature During Grinding,g with the advantages of the textured grinding wheels. It is established that the elastic displacements of the spindle axis at static unbalance of the combined tool is significantly higher than those with the moment unbalance, so to reduce the vibration level of the spindle, it is recommended to pla
26#
發(fā)表于 2025-3-26 02:32:02 | 只看該作者
27#
發(fā)表于 2025-3-26 07:57:48 | 只看該作者
28#
發(fā)表于 2025-3-26 09:27:48 | 只看該作者
,?Dem Rad in die Speichen fallen“,terilisation von geistig kranken Patienten zu unterstützen. Seine teilweise Antwort besteht darin, zu hinterfragen, ob eine geistige Krankheit genetisch ist und eine genaue Diagnose zu betonen. Er sucht Positionen für jüdische Kollegen au?erhalb Deutschlands.
29#
發(fā)表于 2025-3-26 15:02:18 | 只看該作者
A Hybrid Machine Learning Approach for Enhanced Prediction of Breast Cancer with Lasso Method for Feature Extraction,mitations identified in earlier studies by reducing feature dimensionality, improving prediction accuracy, and enhancing model interpretability in breast cancer diagnosis. The hybrid model achieved an amazing accuracy rate of 98.2% using the chosen attributes and the Random Forest (RF) and Artificial Neural Network (ANN) algorithms.
30#
發(fā)表于 2025-3-26 18:42:42 | 只看該作者
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