Výsledky vyhledávání - "Philip Erickson"

Understanding storm-time multi-scale ionospheric structures at mid-latitudes

Autor: Ercha Aa, Shun-Rong Zhang, Philip Erickson, Anthea Coster, Larisa Goncharenko

The storm-time mid-latitude ionosphere is an important interface in the global geospace dynamic system, which is characterized by energy and momentum ingests at the auroral/polar latitudes. This interface is affected by these high-latitude processes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::56556be180ee7727d26f6e8a51c364c2
https://doi.org/10.5194/egusphere-egu23-2899

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Methods for Estimation of Ionospheric Layer Height Characteristics from Doppler Frequency and Time of Flight Measurements on HF Skywave Signals

Autor: Kristina Collins, Steve Cerwin, Philip Erickson, Dev Joshi, Nathaniel Frissell, Joe Huba

Publikováno v: eISSN

We demonstrate a methodology to estimate ionospheric virtual layer height characteristics using Doppler measurements from frequency locked time standard stations in conjunction with ionosonde measurements and ray-tracing models. We consider data from

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::926ee7bec1274a768748fa81fe890c79
https://egusphere.copernicus.org/preprints/2022/egusphere-2022-327/

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4-D regional ionosphere imaging and SED reconstruction with a new TEC-based ionospheric data assimilation system (TIDAS)

Autor: Ercha Aa, Shun-Rong Zhang, Wenbin Wang, Philip Erickson, Bill Rideout, Anthea Coster

Accurately imaging and modeling the 4-D spatial-temporal variation of the Earth's ionosphere has always been a challenging task in the space weather community, since the ionosphere is a highly variable nonlinear system that exhibits not only remarkab

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::653fd8085884475d50c246767c6d4b64
https://doi.org/10.5194/egusphere-egu22-10863

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Bayesian Computational Sensor Networks: Small-scale Structural Health Monitoring

Autor: Nishith Tirpankar, Wenyi Wang, Thomas C. Henderson, Philip Erickson, Palani Thangaraj, Anshul Joshi, Michael Cline

Publikováno v: ICCS

The Bayesian Computational Sensor Network methodology is applied to small-scale structural health monitoring. A mobile robot, equipped with vision and ultrasound sensors, maps small-scale structures for damage (e.g., holes, cracks) by localizing itse

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae7da58c4026087bfd582ef26ce98351

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Gaussian processes for multi-sensor environmental monitoring

Autor: Thomas C. Henderson, Philip Erickson, Michael Cline, Nishith Tirpankar

Publikováno v: MFI

Efficiently monitoring environmental conditions across large indoor spaces (such as warehouses, factories or data centers) is an important problem with many applications. Deployment of a sensor network across the space can provide very precise readin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::04a615e42865da01347d77b28a61bd1c
https://doi.org/10.1109/mfi.2015.7295810

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Abstract 5676: Discovery of novel benzo[b][1,4]oxazin-3(4H)-ones as poly(ADP-Ribose)polymerase inhibitors

Autor: Anthony R. Gangloff, Ron de Jong, Ewan Taylor, Kiryanov Andre A, Philip Erickson, Phong H. Vu, Jason W. Brown, Mark S. Hixon, Shawn M. O’Connell, Ruhi Kamran, Charles E. Grimshaw, Andrew John Jennings

Publikováno v: Cancer Research. 73:5676-5676

Poly(ADP-ribose) polymerase (PARP) is a critical DNA repair enzyme involved in DNA single-strand break repair via the base excision repair pathway. PARP inhibitors sensitize tumors to DNA-damaging agents and also inhibit the growth of cancers with BR

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1a12c6f0cac3bcca3ec13b3bcaf4fc81
https://doi.org/10.1158/1538-7445.am2013-5676

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