Zobrazeno 1 - 10
of 3 285
pro vyhledávání: '"A Wingen"'
Autor:
Varela, J., Huang, J., Spong, D. A., Chen, J., Chan, V., Garcia, L., Wingen, A., Ghai, Y., Zou, Y.
Publikováno v:
Nucl. Fusion 62 036005 (2022)
The aim of this study is to analyze the stability of Alfven Eigenmodes (AE) in the China Fusion Engineering Test Reactor (CFETR) plasma for steady state operations. The analysis is done using the gyro-fluid code FAR3d including the effect of the acou
Externí odkaz:
http://arxiv.org/abs/2304.08412
Autor:
Petros P. Sigalas, Peter R. Shewry, Andrew Riche, Luzie Wingen, Cong Feng, Ajay Siluveru, Noam Chayut, Amanda Burridge, Cristobal Uauy, March Castle, Saroj Parmar, Charlie Philp, David Steele, Simon Orford, Michelle Leverington-Waite, Shifeng Cheng, Simon Griffiths, Malcolm J. Hawkesford
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract Wheat is an important source of minerals for human nutrition and increasing grain mineral content can contribute to reducing mineral deficiencies. Here, we identify QTLs for mineral micronutrients in grain of wheat by determining the content
Externí odkaz:
https://doaj.org/article/4d2b4418b8b3474d8f39380e3b00f23a
Publikováno v:
ACS Physical Chemistry Au, Vol 4, Iss 5, Pp 568-574 (2024)
Externí odkaz:
https://doaj.org/article/3299741d1509423780e0316051f7fcf1
Autor:
Maarten Laroy, Filip Bouckaert, Olga Therese Ousdal, Annemieke Dols, Didi Rhebergen, Eric van Exel, Guido van Wingen, Jeroen van Waarde, Joey Verdijk, Ute Kessler, Hauke Bartsch, Martin Balslev Jorgensen, Olaf B. Paulson, Pia Nordanskog, Joan Prudic, Pascal Sienaert, Mathieu Vandenbulcke, Leif Oltedal, Louise Emsell
Publikováno v:
Brain Stimulation, Vol 17, Iss 4, Pp 876-886 (2024)
Background: Increased gray matter volume (GMV) following electroconvulsive therapy (ECT) has been well-documented, with limited studies reporting a subsequent decrease in GMV afterwards. Objective: This study characterized the reversion pattern of GM
Externí odkaz:
https://doaj.org/article/bc07296b7eda4a7d94f5693c07cb93bc
Graph Neural Networks (GNNs) have emerged as a powerful tool to learn from graph-structured data. A paramount example of such data is the brain, which operates as a network, from the micro-scale of neurons, to the macro-scale of regions. This organiz
Externí odkaz:
http://arxiv.org/abs/2211.08927
We report on a study of the structure of edge turbulence in NSTX H-mode discharges with applied n=1 and n=3 non-axisymmetric magnetic perturbations. The edge turbulence is diagnosed in NSTX using the gas puff imaging (GPI) system to understand how th
Externí odkaz:
http://arxiv.org/abs/2211.06591
Publikováno v:
European Journal of Investigation in Health, Psychology and Education, Vol 14, Iss 6, Pp 1769-1785 (2024)
This qualitative study aims to analyse the personal qualification, attitudes and the pedagogical concepts of German teachers as experts in their profession regarding basic life support (BLS) education in secondary schools. Thirteen (n = 13) secondary
Externí odkaz:
https://doaj.org/article/967099a38e894990974f6fce6a6108dd
Autor:
Jurjen Heij, Wietske van der Zwaag, Tomas Knapen, Matthan W. A. Caan, Birte Forstman, Dick J. Veltman, Guido van Wingen, Moji Aghajani
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Whereas meta-analytical data highlight abnormal frontocortical macrostructure (thickness/surface area/volume) in Major Depressive Disorder (MDD), the underlying microstructural processes remain uncharted, due to the use of conventional MRI s
Externí odkaz:
https://doaj.org/article/88b8464086d147fca2de13e9192ba65c
Single-subject mapping of resting-state brain functional activity to non-imaging phenotypes is a major goal of neuroimaging. The large majority of learning approaches applied today rely either on static representations or on short-term temporal corre
Externí odkaz:
http://arxiv.org/abs/2208.04166
Autor:
J. Varela, D. Spong, L. Garcia, Y. Ghai, J. Ortiz, FAR3d project collaborators, P. Adulsiriswad, N. Aiba, E. Ascasíbar, A. Azegami, A. Bader, M. Baruzzo, H. Betar, B. Breizman, J. Breslau, A. Cappa, W. A. Cooper, D. del-Castillo-Negrete, A. Di Siena, X. Du, L. G. Eliseev, J. Garcia, J. M. García-Regaña, N. Gorelenkov, L. Herrera, C. Hidalgo, J. Huang, M. Honda, I. Holod, K. Ida, M. Idouakass, F. Jenko, C. Jiale, Y. Kamada, Y. Kazakov, S. Kobayashi, U. Losada, S. Mazzi, A. Melnikov, B. Ph. Van Milligen, D. Monseev, M. Murakami, K. Nagaoka, K. Nagasaki, M. Ochando, J. Ongena, K. Ogawa, S. Ohdachi, M. Osakabe, D. C. Pace, F. Papousek, F. Poli, M. Podesta, P. Pons-Villalonga, M. Poradzinski, J. M. Reynolds-Barredo, R. Sanchez, R. Seki, S. Sharapov, K. Shinohara, J. Shiraishi, Z. Stancar, Y. Sun, Y. Suzuki, K. Tanaka, S. Taimourzadeh, Y. Takemura, Y. Todo, T. Tokuzawa, V. Tribaldos, M. A. Van Zeeland, F. L. Waelbroeck, X. H. Wang, K. Y. Watanabe, A. Wingen, S. Yamamoto, M. Yoshinuma, H. Yang, D. Zarzoso, Y. Zou
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
The development of reduced models provide efficient methods that can be used to perform short term experimental data analysis or narrow down the parametric range of more sophisticated numerical approaches. Reduced models are derived by simplifying th
Externí odkaz:
https://doaj.org/article/b1c104b555ac44ea870b1023f6ba7daf