musicologist
发表于 2025-3-25 03:47:40
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ellagic-acid
发表于 2025-3-25 09:58:15
usführlich dargestellt, so dass sie auch ohne zusätzliche Literatur zu verstehen sind. Ist zu einer Aufgabe keine Lösung enthalten, so wurde sie - je nach Schwierigkeitsgrad - mit einer ausführlichen Anleitung versehen. Das Buch unterstützt Studierende der Mathematik und Physik der ersten Semester b
歌唱队
发表于 2025-3-25 14:09:11
Pathophysiology of Ascending Aortic Aneurysm and Dissection,nding aneurysms and dissection differs markedly from that of aneurysms and rupture in other areas of the aorta. The ascending aorta is much less likely to be affected by degenerative changes associated with atherosclerosis and inflammation and more likely to be affected by genetic abnormalities that
空气传播
发表于 2025-3-25 16:12:42
Analysis of Students’ Learning Activities through Quantifying Time-Series Commentsuation that they cannot recover from by themselves, and require assistance, but they hesitate to call for help. In order to recognize such students quickly and give guidance to them in class, we have collected time-series comments in the classroom and analyzed them. In the analysis, we divided the c
blackout
发表于 2025-3-25 22:31:35
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车床
发表于 2025-3-26 01:59:37
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barium-study
发表于 2025-3-26 05:17:06
May Azzawirtial differential equation, which describes the physical problem, is derived in different formulations. In addition to the classical notation, a formal notation is introduced. This allows to highlight the similarities between the different structural members.
孤独无助
发表于 2025-3-26 11:17:56
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来这真柔软
发表于 2025-3-26 16:19:58
Link Prediction in Dynamic Networks Based on Topological and Historical Information snapshots to represent node pairs, and the RandomForestRegressor algorithm is adopted to train a prediction model. Extensive experiments are executed on nine benchmark networks to investigate the effectiveness of the THILP method. The results show that THILP behaves remarkably better than baseline methods.
cliche
发表于 2025-3-26 19:30:41
Gongde Guo,Daniel Neagu,Mark T. D. Croninnė J, Kacprzyk J. (eds) Data science: new issues, challenges and applications. Studies in computational intelligence, vol 869, Springer, Cham, 2020. 10.1007%2F978-3–030-39,250-5_14; Filip in Int J Comput Commun Control 7–2:264–272, 2012).