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Long-term up-regulation of tyrosine hydroxylase gene expression after neonatal dexamethasone. / Kalinina, T.; Sukhareva, E.; Bulygina, V. и др.

в: European Neuropsychopharmacology, Том 29, 12.2019, стр. S166-S167.

Результаты исследований: Научные публикации в периодических изданияхтезисыРецензирование

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Kalinina T, Sukhareva E, Bulygina V, Lanshakov D, Egorova K, Dygalo N. Long-term up-regulation of tyrosine hydroxylase gene expression after neonatal dexamethasone. European Neuropsychopharmacology. 2019 дек.;29:S166-S167. doi: 10.1016/j.euroneuro.2019.09.259

Author

Kalinina, T. ; Sukhareva, E. ; Bulygina, V. и др. / Long-term up-regulation of tyrosine hydroxylase gene expression after neonatal dexamethasone. в: European Neuropsychopharmacology. 2019 ; Том 29. стр. S166-S167.

BibTeX

@article{75d5964cb3f94c0b844ffeed323e4d08,
title = "Long-term up-regulation of tyrosine hydroxylase gene expression after neonatal dexamethasone",
abstract = "Numerical modeling of flow and transport through fractured crystalline rock was conducted to identify major factors that affect migration of radionuclides from a high-level nuclear waste repository. The study was based on data collected at the Mizunami Underground Research Laboratory (URL) in Japan. Distributions of fracture parameters were used to generate a selected number of DFN realizations. For each realization the DFN was upscaled to a continuum mesh to provide permeability and porosity fields. The upscaled permeability and porosity fields were then used to study flow and transport through the fractured rock in a site-scale domain. For the present study the focus is on the effect of domain size and on upscaling of DFN to a continuum system. Simulation results and analysis on various upscaling and boundary condition assumptions are presented.",
author = "T. Kalinina and E. Sukhareva and V. Bulygina and D. Lanshakov and K. Egorova and N. Dygalo",
note = "Funding Information: DECOVALEX is an international research project comprising participants from industry, government and academia, focusing on development of understanding, models and codes in complex coupled problems in subsurface geological and engineering applications; DECOVALEX-2019 is the current phase of the project. The authors appreciate and thank the DECOVALEX-2019 Funding Organizations ADRA, BGR/UFZ, CNSC, US DOE, ENSI, JAEA, IRSN, KAERI, NWMO, RWM, S{\'U}RAO, SSM and Taipower for their financial and technical support of the work described in this paper. The statements made in the paper are, however, solely those of the authors and do not necessarily reflect those of the Funding Organizations. Publisher Copyright: {\textcopyright} 2019 American Nuclear Society, Inc. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; 32nd Congress of the European-College-of-Neuropsychopharmacology (ECNP) ; Conference date: 07-09-2019 Through 10-09-2019",
year = "2019",
month = dec,
doi = "10.1016/j.euroneuro.2019.09.259",
language = "English",
volume = "29",
pages = "S166--S167",
journal = "European Neuropsychopharmacology",
issn = "0924-977X",
publisher = "Elsevier Science B.V.",

}

RIS

TY - JOUR

T1 - Long-term up-regulation of tyrosine hydroxylase gene expression after neonatal dexamethasone

AU - Kalinina, T.

AU - Sukhareva, E.

AU - Bulygina, V.

AU - Lanshakov, D.

AU - Egorova, K.

AU - Dygalo, N.

N1 - Funding Information: DECOVALEX is an international research project comprising participants from industry, government and academia, focusing on development of understanding, models and codes in complex coupled problems in subsurface geological and engineering applications; DECOVALEX-2019 is the current phase of the project. The authors appreciate and thank the DECOVALEX-2019 Funding Organizations ADRA, BGR/UFZ, CNSC, US DOE, ENSI, JAEA, IRSN, KAERI, NWMO, RWM, SÚRAO, SSM and Taipower for their financial and technical support of the work described in this paper. The statements made in the paper are, however, solely those of the authors and do not necessarily reflect those of the Funding Organizations. Publisher Copyright: © 2019 American Nuclear Society, Inc. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.

PY - 2019/12

Y1 - 2019/12

N2 - Numerical modeling of flow and transport through fractured crystalline rock was conducted to identify major factors that affect migration of radionuclides from a high-level nuclear waste repository. The study was based on data collected at the Mizunami Underground Research Laboratory (URL) in Japan. Distributions of fracture parameters were used to generate a selected number of DFN realizations. For each realization the DFN was upscaled to a continuum mesh to provide permeability and porosity fields. The upscaled permeability and porosity fields were then used to study flow and transport through the fractured rock in a site-scale domain. For the present study the focus is on the effect of domain size and on upscaling of DFN to a continuum system. Simulation results and analysis on various upscaling and boundary condition assumptions are presented.

AB - Numerical modeling of flow and transport through fractured crystalline rock was conducted to identify major factors that affect migration of radionuclides from a high-level nuclear waste repository. The study was based on data collected at the Mizunami Underground Research Laboratory (URL) in Japan. Distributions of fracture parameters were used to generate a selected number of DFN realizations. For each realization the DFN was upscaled to a continuum mesh to provide permeability and porosity fields. The upscaled permeability and porosity fields were then used to study flow and transport through the fractured rock in a site-scale domain. For the present study the focus is on the effect of domain size and on upscaling of DFN to a continuum system. Simulation results and analysis on various upscaling and boundary condition assumptions are presented.

UR - http://www.scopus.com/inward/record.url?scp=85067132690&partnerID=8YFLogxK

U2 - 10.1016/j.euroneuro.2019.09.259

DO - 10.1016/j.euroneuro.2019.09.259

M3 - Meeting Abstract

VL - 29

SP - S166-S167

JO - European Neuropsychopharmacology

JF - European Neuropsychopharmacology

SN - 0924-977X

T2 - 32nd Congress of the European-College-of-Neuropsychopharmacology (ECNP)

Y2 - 7 September 2019 through 10 September 2019

ER -

ID: 23288338