Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning

Autor: Soni, S, Berry, C P L, Coughlin, S B, Harandi, M, Jackson, C B, Crowston, K, Østerlund, C, Patane, O, Katsaggelos, A K, Trouille, L, Baranowski, V-G, Domainko, W F, Kaminski, K, Rodriguez, M A Lobato, Marciniak, U, Nauta, P, Niklasch, G, Rote, R R, Téglás, B, Unsworth, C, Zhang, C

Publikováno v: Classical and Quantum Gravity, 2021, Volume 38, Number 19

The observation of gravitational waves is hindered by the presence of transient noise (glitches). We study data from the third observing run of the Advanced LIGO detectors, and identify new glitch classes. Using training sets assembled by monitoring

Externí odkaz: http://arxiv.org/abs/2103.12104

RESEARCH TRAINING SYROVYNYDO BIOTECHNOLOGY MECHANICAL EXTRACTION POLISAHARYDIVDLYA MUSHROOM PRODUCTION MIKOBIOPREPARATIV.

Autor: Teslyuk, V. V., Teslyuk, V., Baranowski, V.

Publikováno v: Scientific Journal of National University of Life & Environmental Sciences of Ukraine. Series: Technique & Energy of APK; 2016, Issue 241, p103-107, 5p

Efficacy of dronabinol alone and in combination with ondansetron versus ondansetron alone for delayed chemotherapy-induced nausea and vomiting.

Autor: Meiri E, Jhangiani H, Vredenburgh JJ, Barbato LM, Carter FJ, Yang H, Baranowski V, Meiri, Eyal, Jhangiani, Haresh, Vredenburgh, James J, Barbato, Luigi M, Carter, Frederick J, Yang, Hwa-Ming, Baranowski, Vickie

Publikováno v: Current Medical Research & Opinion; Mar2007, Vol. 23 Issue 3, p533-543, 11p

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