SSSH 2022 : état de l’art en stérilisation

Autor: M. Blanchard, M. Pardieu, K. Rghioui, H. Ney

Publikováno v: IRBM News. 43:100438

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::85836194e23e45124f5a53bcafd0a6de
https://doi.org/10.1016/j.irbmnw.2022.100438

The Pseudo-Pelger HuËt Cell—A New Permanent Radiation Biomarker

Autor: Patrick H. Ney, Carol J. Iddins, Ronald E. Goans, Nicholas Dainiak, Natalia I. Ossetrova

Publikováno v: Health Physics. 112:252-257

Using archival peripheral blood slides obtained from patients in the 1958 Y-12 criticality accident, the authors have recently described the pseudo-Pelger Huet anomaly (PHA) in neutrophils as a new radiation-induced biomarker. The current work provid

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fef3f54683847f08b78a3aeda50440c2
https://doi.org/10.1097/hp.0000000000000618

Non-human Primate Total-body Irradiation Model with Limited and Full Medical Supportive Care Including Filgrastim for Biodosimetry and Injury Assessment

Autor: Jatinder Gulani, Patrick H. Ney, Vitaly Nagy, Eli N. Glezer, George Sigal, Amory L. Koch, William F. Blakely, Natalia I. Ossetrova, Kevin P. Hieber, Camille McGann, Christine L. Christensen

Publikováno v: Radiation Protection Dosimetry. 172:174-191

An assessment of multiple biomarkers from radiation casualties undergoing limited- or full-supportive care including treatment with filgrastim is critical to develop rapid and effective diagnostic triage strategies. The efficacy of filgrastim with fu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc17def047658e6b6a998104f1cebab2
https://doi.org/10.1093/rpd/ncw176

The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018

Autor: M. Graça, Y. Kim, J. Schamper, J. Geng, and H. Ney

Publikováno v: EMNLP 2018 Third Conference on Machine Translation (WMT 2018)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::e2a7fe4f62332943fec62bd9ee469f78

Learning Acoustic Features from the Raw Waveform for Automatic Speech Recognition

Autor: T. Menne, Z. Tüske, R. Schlüter, and H. Ney

Publikováno v: Berlin : Deutsche Gesellschaft für Akustik e.V. (DEGA) 1533-1536 (2018). doi:10.18154/RWTH-CONV-236778
Tagungsband-DAGA 2018 : 44. Deutsche Jahrestagung für Akustik : 19.-22. März 2018, München
Tagungsband-DAGA 2018 : 44. Deutsche Jahrestagung für Akustik : 19.-22. März 2018, München44. Jahrestagung für Akustik, DAGA 2018, München, Germany, 2018-03-19-2018-03-22
44. Jahrestagung für Akustik der Deutschen Gesellschaft für Akustik

Tagungsband - DAGA 2018 : 44. Deutsche Jahrestagung für Akustik : 19.-22. März 2018, München 44. Jahrestagung für Akustik, DAGA 2018, München, Germany, 19 Mar 2018 - 22 Mar 2018; Berlin : Deutsche Gesellschaft für Akustik e.V. (DEGA) 1533-1536

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2329a1d0511f411d26a76052a27a745d
https://doi.org/10.18154/rwth-conv-236778