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Domai Ann

Large deviations for random walks under subexponentiality: The big

D. Denisov, A. B. Dieker, V. Shneer · DOWNLOAD PDF + SAVE TO MY LIBRARY. Probab. 36 (5) 1946 - 1991, September 2008. https://doi

Solved 10. The for variable x is the set Ben, | Chegg.com

The for variable x is the set Ben, Cam, Dave). The table below gives the values of predicates P and Q for every element in the

Testing for stationarity of functional time series in the frequency

Alexander Aue, van Delft · DOWNLOAD PDF + SAVE TO MY LIBRARY. Statist. 48(5): 2505-2547 (October 2020). DOI: 10.1214/19-AOS1895. ARTICLE

Pin1 promotes neuronal death in stroke by stabilizing Notch

Pin1 promotes neuronal death in stroke by stabilizing Notch intracellular Neurol. 2015 Mar;77(3):504-16. doi: 10.1002/ana.24347. Epub 2015 Feb 3

Artificial Neural Networks in the of reservoir characterization

Artificial Neural network (Verma, A.K. 2014) is one of the widely used modeling techniques in reservoir characterization. It is well suited for handling

The human factor in cardiac surgery: errors and near misses in a

The human factor in cardiac surgery: errors and near misses in a high technology medical Thorac Surg. 2001 Jul;72(1):300-5. doi: 10.1016/s0003

'The house was pretty wild': Interior stylist Jones' 1950s

Take a tour of interior stylist and lifestyle presenter Jones' Sydney home. Group acknowledges the Traditional Custodians of

An Integrated Phenotypic and Genotypic Approach Reveals a High

Neurol. 2022 Jul;92(1):138-153. doi: 10.1002/ana.26359. Epub 2022 Apr 16. Authors. Cole A Deisseroth , Vanesa C Lerma , Christina L Magyar

Dress designed by Lowe | National Museum of African

This media is in the public (free of copyright restrictions). You can copy, modify, and distribute this work without contacting the Smithsonian. For

Human factor in cardiac surgery: errors and near misses in a high

Citation Text: Carthey J, de Leval MR, Reason JT. The human factor in cardiac surgery: errors and near misses in a high technology medical


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