Keratin
发表于 2025-3-30 09:53:58
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杂役
发表于 2025-3-30 13:46:14
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催眠
发表于 2025-3-30 20:17:41
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hypnotic
发表于 2025-3-30 22:12:25
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带子
发表于 2025-3-31 03:19:40
General Representation Model for Text Similarityics information. The theoretical analysis shows that traditional approaches can be seen as particularizations of the model. Our first empirical results support the idea that additional features in the representation step outperform the predictive power of similarity measures.
Stress
发表于 2025-3-31 07:54:47
2196-8705 pics such as healthcare advances, transportation optimization, sustainable solutions, and business and process optimization..978-3-031-56578-6978-3-031-56576-2Series ISSN 2196-8705 Series E-ISSN 2196-8713
开玩笑
发表于 2025-3-31 11:57:07
Jeremias Berg,Matti Järvisaloy accumulation of lymphocytes, macrophages, and secretions of cytokines, seems to be central not only for chronic kidney progression but also for the pathogenesis of hypertension. Moreover, emerging evidence highlights the importance of immune system activation in controlling sympathetic nerve activ
sultry
发表于 2025-3-31 15:52:32
,Enhancing Clinical Support for Breast Cancer with Deep Learning Models Using Synthetic Correlated Dusing the ACRIN-6698 study against those learnt using gold-standard imaging modalities. We find that the proposed approach can achieve better performance for both grade and post-treatment response prediction and thus may be a useful tool to aid oncologists in improving recommendation of treatment of
MENT
发表于 2025-3-31 20:25:32
rification of security and trust requirements by using a suitable delegation logic that can be mechanized within Datalog. To make the discussion more concrete, we illustrate the proposal with a Health Care case study.
妨碍
发表于 2025-3-31 21:48:39
Das Geheimnis des menschlichen Geistes und des menschlichen Bewusstseins,eise des Gehirns beschäftigen. Wir können und wollen hier natürlich kein Lehrbuch über die komplette Funktionsweise des Gehirns schreiben. Dazu sei verwiesen auf das Buch ‚Fühlen, Denken, Handeln‘ des bekannten Neurowissenschaftlers Gerhard Roth (*1942), dem der Autor den größten Teil seines Wissens