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Machine learning to predict penumbra core mismatch in acute ischemic stroke using clinical note data. [PDF]
Kohli S +5 more
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Engaging with Film to Teach Students About Virtuous Outsourcing of Cognitive Tasks to LLMs. [PDF]
Gopal W, Quinn M.
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MiTo: tracing the phenotypic evolution of somatic cell lineages via mitochondrial single-cell multi-omics. [PDF]
Cossa A +8 more
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Polarity on Demand: Nucleophilic, Electrophilic, and Ambiphilic Reactivity at a 9,10-Dihydro-9,10-Disilaanthracene Platform. [PDF]
Schmidt M +4 more
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On the general trigonometric sums weighted by character sums
Applied Mathematics and Computation, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qing Tian, Wei Yang, Liping Ding
exaly +3 more sources
Three conjectures about character sums [PDF]
We establish that three well-known and rather different looking conjectures about Dirichlet characters and their (weighted) sums, (concerning the Pólya–Vinogradov theorem for maximal character sums, the maximal admissible range in Burgess’ estimate for ...
Andrew Granville, Alexander Mangerel
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Character sums with subsequence sums
Periodica Mathematica Hungarica, 2007Let χ be a primitive multiplicative character modulo an integer m ≥ 1. Using some classical bounds of character sums, we estimate the average value of the character sums with subsequence sums \( T_m (\mathcal{S},\chi ) = \sum\nolimits_{\mathcal{I} \subseteq \{ 1, \ldots ,N\} } {\chi (\sum\nolimits_{i \in \mathcal{I}} {s_i } )} \) taken over all N ...
Sanka Balasuriya, Igor E. Shparlinski
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Character sums and nonlinear recurrence sequences [PDF]
We obtain upper bounds on character sums and autocorrelation of nonlinear recurrence sequences over arbitrary finite ...
Igor Shparlinski, Simon Blackburn
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