Zobrazeno 1 - 10
of 425
pro vyhledávání: '"Tuffin, P."'
This paper addresses the challenge of improving finite sample performance in Ranking and Selection by developing a Bahadur-Rao type expansion for the Probability of Correct Selection (PCS). While traditional large deviations approximations captures P
Externí odkaz:
http://arxiv.org/abs/2411.10695
Autor:
Nádasi, Hajnalka, Rupnik, Peter Medle, Küster, Melvin, Jarosik, Alexander, Tuffin, Rachel, Bremer, Matthias, Klasen-Memmer, Melanie, Lisjak, Darja, Sebastián, Nerea, Mertelj, Alenka, Ludwig, Frank, Eremin, Alexey
Responsiveness to multiple stimuli and adaptivity are paramount for designing smart multifunctional materials. In soft, partially ordered systems, these features can often be achieved via self-assembly, allowing for the combination of diverse compone
Externí odkaz:
http://arxiv.org/abs/2408.11442
Autor:
Malekghaini, Navid, Akbari, Elham, Salahuddin, Mohammad A., Limam, Noura, Boutaba, Raouf, Mathieu, Bertrand, Moteau, Stephanie, Tuffin, Stephane
Publikováno v:
IEEE Transactions on Network and Service Management
Deep learning (DL) has been successfully applied to encrypted network traffic classification in experimental settings. However, in production use, it has been shown that a DL classifier's performance inevitably decays over time. Re-training the model
Externí odkaz:
http://arxiv.org/abs/2308.02182
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Many ferroelectric nematic liquid crystals, like one of the archetype materials, DIO, do not have a direct paraelectric N to ferroelectric NF phase transition, but exhibit yet another phase between N and NF. This phase has recently been prop
Externí odkaz:
https://doaj.org/article/778c5d977b114254bfa63a0cbbd1a71a
Autor:
Özkan İş, Xue Wang, Joseph S. Reddy, Yuhao Min, Elanur Yilmaz, Prabesh Bhattarai, Tulsi Patel, Jeremiah Bergman, Zachary Quicksall, Michael G. Heckman, Frederick Q. Tutor-New, Birsen Can Demirdogen, Launia White, Shunsuke Koga, Vincent Krause, Yasuteru Inoue, Takahisa Kanekiyo, Mehmet Ilyas Cosacak, Nastasia Nelson, Annie J. Lee, Badri Vardarajan, Richard Mayeux, Naomi Kouri, Kaancan Deniz, Troy Carnwath, Stephanie R. Oatman, Laura J. Lewis-Tuffin, Thuy Nguyen, for the Alzheimer’s Disease Neuroimaging Initiative, Minerva M. Carrasquillo, Jonathan Graff-Radford, Ronald C. Petersen, Clifford R. Jr Jack, Kejal Kantarci, Melissa E. Murray, Kwangsik Nho, Andrew J. Saykin, Dennis W. Dickson, Caghan Kizil, Mariet Allen, Nilüfer Ertekin-Taner
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-23 (2024)
Abstract To uncover molecular changes underlying blood-brain-barrier dysfunction in Alzheimer’s disease, we performed single nucleus RNA sequencing in 24 Alzheimer’s disease and control brains and focused on vascular and astrocyte clusters as mai
Externí odkaz:
https://doaj.org/article/0f4d86fabcd9496f8761615d7234bc5b
Publikováno v:
Palliative Medicine Reports, Vol 5, Iss 1, Pp 116-121 (2024)
Background: Fatigue is a common and distressing symptom for palliative care patients. Although the current literature emphasizes nonpharmacological management, dexamethasone is reportedly used in clinical practice. This study helps to characterize it
Externí odkaz:
https://doaj.org/article/a9fbff929eab4b10833246cbb1020f48
Autor:
Jing Zhao, Tadafumi C. Ikezu, Wenyan Lu, Jesse R. Macyczko, Yonghe Li, Laura J. Lewis-Tuffin, Yuka A. Martens, Yingxue Ren, Yiyang Zhu, Yan W. Asmann, Nilüfer Ertekin-Taner, Takahisa Kanekiyo, Guojun Bu
Publikováno v:
Stem Cell Research & Therapy, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract Background The apolipoprotein E (APOE) gene is the strongest genetic risk factor for Alzheimer’s disease (AD); however, how it modulates brain homeostasis is not clear. The apoE protein is a major lipid carrier in the brain transporting li
Externí odkaz:
https://doaj.org/article/8961c4038dba4cdca8459cc85838feef
Publikováno v:
Journal of Management Science and Engineering, Vol 7, Iss 4, Pp 550-577 (2022)
The generalized likelihood ratio (GLR) method is a recently introduced gradient estimation method for handling discontinuities in a wide range of sample performances. We put the GLR methods from previous work into a single framework, simplify regular
Externí odkaz:
https://doaj.org/article/ad12daad26244be5b57d050a501f10c2
Publikováno v:
Journal of Pain Research, Vol Volume 15, Pp 3115-3125 (2022)
Gerardo A Arwi,1,2 Penelope HR Tuffin,1 Stephan A Schug2 1Royal Perth Hospital, Perth, Western Australia, Australia; 2Anaesthesiology and Pain Medicine, University of Western Australia, Perth, Western Australia, AustraliaCorrespondence: Gerardo A Arw
Externí odkaz:
https://doaj.org/article/5f1c1953bfab44e1ac5c03f2409acc72
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