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Taking the Sting Out: Using Direct Examination to Anticipate and ...

https://www2.law.temple.edu/voices/taking-the-sting-out-using-direct-examination-to-anticipate-and-undercut-attacks-on-your-witness/

Sadly, it can be the rare witness who does not come with some baggage – a criminal conviction, a potential bias, an inconsistent statement, or some other challenge to her/his credibility. So, the proponent of that witness has to make a choice – bring it out first, or simply wait for the sting of cross-examination. The suggestion of this article is to do the former, a technique supported by ...

IDENTITIES BETWEEN HECKE EIGENFORMS

https://cst.temple.edu/sites/cst/files/theses1/bao.pdf

tween Hecke eigenforms, we give another proof that the j-function is algebraic

0004760417 293..324

https://sites.temple.edu/dwolf/files/2020/06/Dissoi-Logoi-EGE.pdf

1. Orientation to the Text It is generally agreed that the text T that we call the Dissoi Logoi was originally composed within the first decade or so after the Peloponnesian War. The single most compelling piece of evidence in support of this dating is the text’s description of the Spartans victory

The Cost of Convenience: © 2010 University of Uta

https://sites.temple.edu/nickerson/files/2017/07/Bennion_Nickerson.2011.pdf

The use of one-tailed hypothesis tests is strong evidence of this assumption (e.g., Arceneaux and Nickerson 2010; Green, Gerber, and Nickerson 2003; McNulty 2005), as is the concept of attributable effects (Hansen and Bowers 2009).

Balancing Privacy and Accuracy using Significant Gradient Protection in ...

https://cis.temple.edu/~wu/research/publications/Publication_files/J-CT-2024-Balancing%20Privacy%20and%20Accuracy%20using%20Siginificant%20Gradient%20Protection%20in%20Federated%20Learning.pdf

Abstract—Previous state-of-the-art studies have demonstrated that adversaries can access sensitive user data by membership inference attacks (MIAs) in Federated Learning (FL). Intro-ducing differential privacy (DP) into the FL framework is an effective way to enhance the privacy of FL. Nevertheless, in differentially private federated learning (DP-FL), local gradients become excessively ...