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Titlebook: Endocrine Neoplasia; Cord Sturgeon Book 2010 Springer-Verlag US 2010 Adrenal.Cancer.Carcinom.Endocrine.Neoplasia.Pancreas.Parathyroid.Surg

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發(fā)表于 2025-3-25 04:50:34 | 只看該作者
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發(fā)表于 2025-3-25 10:09:07 | 只看該作者
https://doi.org/10.1007/978-1-4842-7927-4ty detection and spam filtering. On the other hand, there is a large amount of data stored on database management systems (DBMSs), which can be modeled and analyzed as graphs. Alternatively, graph data can be quickly loaded into a DBMS. Our paper shows how to adapt and optimize a randomized distribu
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發(fā)表于 2025-3-25 14:53:02 | 只看該作者
https://doi.org/10.1007/978-3-662-41260-2n in the twentieth century has swept away any remaining traditional practices, especially those pertinent to animal and plant exploitation. This reality not only renders pressing the need to record any surviving traditional practices but, even more importantly, raises the question whether the study
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發(fā)表于 2025-3-25 17:45:24 | 只看該作者
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發(fā)表于 2025-3-25 20:47:56 | 只看該作者
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發(fā)表于 2025-3-26 01:06:37 | 只看該作者
Z. T. Krasznai,L. Balkay,T. Márián,M. Emri,F. Németh,L. Trónegies.. .Representing the combined effort of several leading international research and clinical experts, this book, .Emerging Trends in Cell and Gene Therapy,. provides a complete account on and brings into sharp focus current trends and state-of-the-art in important areas at the interface of cell-
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發(fā)表于 2025-3-26 06:34:46 | 只看該作者
28#
發(fā)表于 2025-3-26 10:27:15 | 只看該作者
elevant for network dynamics, including diagrammatic techniq.This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physic
29#
發(fā)表于 2025-3-26 15:17:31 | 只看該作者
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發(fā)表于 2025-3-26 17:49:16 | 只看該作者
A More-Than-Human Approach to Researching AI at Work: Alternative Narratives for Human and AI System Yet, there is limited understanding of the interactions between workers, AI systems, and the publics they serve. To inform networked learning scholarship, there is a pressing need to study the knowledge that workers are developing as they learn to work with AI and the implications for networked lea
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