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Titlebook: Rehab Clinical Pocket Guide; Rehabilitation Medic Kimberly A. Sackheim Book 2013 Springer Science+Business Media, LLC 2013 rehabilitation p

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41#
發(fā)表于 2025-3-28 17:52:17 | 只看該作者
42#
發(fā)表于 2025-3-28 19:02:22 | 只看該作者
Paul Lee P.T.veness. Recent work on . introduced the . technique that allows the user to specify uninteresting parts of code that the symbolic analysis can try to ignore by focusing first on the essential parts. If necessary, the ignored parts are later explored once their impact on the main code under analysis
43#
發(fā)表于 2025-3-28 23:43:04 | 只看該作者
Lauren Stern M.D.ecent years, to solve the problem, various epistemic gossip protocols have been proposed, where the agents decide who to call based on the higher-order knowledge about the possession of secrets. Although most previous studies on the epistemic gossip protocol have restricted their scope to the enviro
44#
發(fā)表于 2025-3-29 04:19:57 | 只看該作者
on of the property to be determined after a finite future continuation during system execution. However, classical two-valued monitorability suffers from two inherent limitations, which eventually increase runtime overhead. First, no information is available regarding whether only one verdict (satis
45#
發(fā)表于 2025-3-29 07:45:54 | 只看該作者
46#
發(fā)表于 2025-3-29 13:54:31 | 只看該作者
Houman Danesh M.D.,Jennifer Sayanlar D.O.er model uses a set of rules to define potential actions by an attacker with respect to messages (i.e. information) exchanged between parties during a protocol execution. As the traditional Dolev-Yao model considers only information (exchanged over a channel controlled by the attacker), the model ca
47#
發(fā)表于 2025-3-29 16:05:02 | 只看該作者
48#
發(fā)表于 2025-3-29 20:03:56 | 只看該作者
49#
發(fā)表于 2025-3-30 03:10:43 | 只看該作者
Gregory Burkard Jr. D.O.,John-Ross Rizzo M.D.,Jeffrey Heckman D.O.,Jeffrey Cohen M.D.data processed by language models presents challenges in measuring robustness, impeding verification efforts. To address this challenge, this work focuses on formalizing robustness specification against character-level perturbations for neural network language models. We introduce a key principle of
50#
發(fā)表于 2025-3-30 07:52:01 | 只看該作者
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