Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Colin Cotter"'
Autor:
Satya Siva Kishan Yalamarty, Nina Filipczak, Xiang Li, Tanvi Vinod Pathrikar, Colin Cotter, Vladimir P. Torchilin
Publikováno v:
Pharmaceutics, Vol 14, Iss 7, p 1470 (2022)
Multidrug resistance (MDR) observed in tumors significantly hinders the efficacy of chemotherapy. Downregulation of efflux proteins, such as P-glycoprotein (P-gp), using small interfering RNA (siRNA) can be an effective way to minimize the resistance
Externí odkaz:
https://doaj.org/article/4e370d251b6c41c5a7ae911383402504
Publikováno v:
Multiscale Modeling & Simulation. 20:936-956
We introduce a higher order phase averaging method for nonlinear oscillatory systems. Phase averaging is a technique to filter fast motions from the dynamics whilst still accounting for their effect on the slow dynamics. Phase averaging is useful for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75049a17d58a04c4f25746ea7a3dfa22
https://doi.org/10.1137/21m1430546
https://doi.org/10.1137/21m1430546
Parallel-in-time algorithms provide a route to increased parallelism for weather and climate models, addressing the issue of how to make efficient use of future supercomputers. In this talk I will present an overview of the approaches implemented in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32fa858beb3fa0054ba84a5880717e8a
https://doi.org/10.5194/egusphere-egu23-9496
https://doi.org/10.5194/egusphere-egu23-9496
Autor:
Josh Hope-Collins, Colin Cotter
Modern numerical weather prediction requires vast amounts of computing power, so highly scalable algorithms are essential on massively parallel modern hardware. However, once the strong scaling limit is reached for spatial parallelism, the wallclock
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5518a0e6a6a6778a09526bc94cda8683
https://doi.org/10.5194/egusphere-egu23-12375
https://doi.org/10.5194/egusphere-egu23-12375
Autor:
Satya Siva Kishan Yalamarty, Nina Filipczak, Xiang Li, Tanvi Vinod Pathrikar, Colin Cotter, Vladimir P. Torchilin
Publikováno v:
Cancer Research. 83:1997-1997
Purpose: A major hurdle in chemotherapy is multidrug resistance (MDR) observed in tumors. Downregulation of efflux proteins such as P-glycoprotein (P-gp) using small interfering RNA (siRNA) can be an effective way to treat resistant tumors. In this s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be64c97e773e71039b5ef607da48d185
https://doi.org/10.1158/1538-7445.am2023-1997
https://doi.org/10.1158/1538-7445.am2023-1997
Autor:
Mariana Clare, Tim Leijnse, Robert McCall, Ferdinand Diermanse, Colin Cotter, Matthew Piggott
When choosing an appropriate hydrodynamic model, there is always a compromise between accuracy and computational cost, with high fidelity models being more expensive than low fidelity ones. However, when assessing uncertainty, we can use a multifidel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a9ba0da3651649c82b1d5b81e4d80b1
https://doi.org/10.31223/x5733r
https://doi.org/10.31223/x5733r
Coastal zones are vulnerable to both erosion and flood risk, which can be assessed using coupled hydro- morphodynamic models. However, the use of such models as decision support tools suffers from a high degree of uncertainty, due to both incomplete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbe0750ffcd0321a50f53e430b63ef13
http://hdl.handle.net/10044/1/96614
http://hdl.handle.net/10044/1/96614
Publikováno v:
Computers & Geosciences. 163:105104
The development of reliable, sophisticated hydro-morphodynamic models is essential for protecting the coastal environment against hazards such as flooding and erosion. There exists a high degree of uncertainty associated with the application of these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f4f8feae1098f0f760346784f4a3b33
https://doi.org/10.1016/j.cageo.2022.105104
https://doi.org/10.1016/j.cageo.2022.105104