Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Ferenc N"'
Autor:
Anita Hajdu, Dóra Vivien Nyári, Éva Ádám, Yeon Jeong Kim, David E. Somers, Dániel Silhavy, Ferenc Nagy, László Kozma-Bognár
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Circadian clocks rely on transcriptional/translational feedback loops involving clock genes and their corresponding proteins. While the primary oscillations originate from gene expression, the precise control of clock protein stability plays
Externí odkaz:
https://doaj.org/article/1045c73590684c978619f8b0033989ca
Autor:
Anita Hajdu, Dóra Vivien Nyári, Éva Ádám, Yeon Jeong Kim, David E. Somers, Dániel Silhavy, Ferenc Nagy, László Kozma-Bognár
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/4e8868158b6b459aa35602ff9b0b1e1d
Autor:
Márton Tóth, Péter Barsi, Zoltán Tóth, Katalin Borbély, János Lückl, Miklós Emri, Imre Repa, József Janszky, Tamás Dóczi, Zsolt Horváth, Péter Halász, Vera Juhos, Csilla Gyimesi, Beáta Bóné, Diána Kuperczkó, Réka Horváth, Ferenc Nagy, Anna Kelemen, Zsófia Jordán, Ákos Újvári, Koichi Hagiwara, Jean Isnard, Endre Pál, Attila Fekésházy, Dániel Fabó, Zsolt Vajda
Publikováno v:
BMC Neurology, Vol 21, Iss 1, Pp 1-20 (2021)
Abstract Background When MRI fails to detect a potentially epileptogenic lesion, the chance of a favorable outcome after epilepsy surgery becomes significantly lower (from 60 to 90% to 20–65%). Hybrid FDG-PET/MRI may provide additional information
Externí odkaz:
https://doaj.org/article/0fb81caa3bfa4ea1bfa57bc6bbb33af2
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
The shift of dark-grown seedlings to the light leads to substantial reprogramming of gene expression, which results in dramatic developmental changes (referred to as de-etiolation or photomorphogenesis). MicroRNAs (miRNAs) regulate most steps of plan
Externí odkaz:
https://doaj.org/article/f96e6a8c015540ea9083c9151705fa21
Autor:
Ferenc Nagy, Aron K. Krizsan, Kornél Kukuts, Melinda Szolikova, Zsolt Hascsi, Sandor Barna, Antonietta Acs, Peter Szabo, Lajos Tron, Laszlo Balkay, Magnus Dahlbom, Mihaly Zentai, Attila Forgacs, Ildiko Garai
Publikováno v:
EJNMMI Physics, Vol 8, Iss 1, Pp 1-13 (2021)
Abstract Background Regular and precise inspection of the realization of the local nuclear medicine standard operation procedures (SOPs) is very complex and time-consuming, especially when large amount of patient data is obtained from a wide scale of
Externí odkaz:
https://doaj.org/article/5369d34b71dc47cf98292b1d8d881dd8
Autor:
Alexandru Achim, Kornél Kákonyi, Ferenc Nagy, Zoltán Jambrik, Albert Varga, Attila Nemes, Jeffrey Shi Kai Chan, Gabor G. Toth, Zoltán Ruzsa
Publikováno v:
Cardiology Research and Practice, Vol 2022 (2022)
Background. Atherosclerosis is a systemic arterial disease with heterogeneous involvement in all vascular beds; however, studies examining the relationship between coronary and radial artery calcification are lacking. The purpose of this study was to
Externí odkaz:
https://doaj.org/article/95ea069cb99d4f6aba07e007e3dbe7e2
Akademický článek
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Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Externí odkaz:
https://doaj.org/article/2b83e4acaf394dbaa58849db0a2bc7de
Autor:
Zsófia Hayden, Beáta Bóné, Gergely Orsi, Monika Szots, Ferenc Nagy, Tünde Csépány, Zsolt Mezei, Cecília Rajda, Diána Simon, József Najbauer, Zsolt Illes, Timea Berki
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Background: In our previous single-center study of autoimmune encephalitis (AE) related autoantibody test results we found positivity in 60 patients out of 1,034 with suspected AE from 2012 through 2018 as part of a Hungarian nationwide program. In o
Externí odkaz:
https://doaj.org/article/050da41310b14c66ad5a2fe03bed2ebb
Autor:
Jasjit S. Suri, Sushant Agarwal, Gian Luca Chabert, Alessandro Carriero, Alessio Paschè, Pietro S. C. Danna, Luca Saba, Armin Mehmedović, Gavino Faa, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanasios D. Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Ferenc Nagy, Zoltan Ruzsa, Mostafa M. Fouda, Subbaram Naidu, Klaudija Viskovic, Mannudeep K. Kalra
Publikováno v:
Diagnostics, Vol 12, Iss 6, p 1482 (2022)
Background: The previous COVID-19 lung diagnosis system lacks both scientific validation and the role of explainable artificial intelligence (AI) for understanding lesion localization. This study presents a cloud-based explainable AI, the “COVLIAS
Externí odkaz:
https://doaj.org/article/724250641a304ca5bdab585ac56026fe