Results 61 to 70 of about 403,268 (198)

A Bayesian inference approach for determining player abilities in football

, 2020
We consider the task of determining a football player's ability for a given event type, for example, scoring a goal. We propose an interpretable Bayesian model which is fit using variational inference methods.
Edwards, Daniel, Kosmidis, Ioannis, Silva, Ricardo, Whitaker, Gavin A.   +3 more
core   +1 more source

The N-terminal intrinsically disordered domain of mgm101p is localized to the mitochondrial nucleoid. [PDF]

, 2013
The mitochondrial genome maintenance gene, MGM101, is essential for yeasts that depend on mitochondrial DNA replication. Previously, in Saccharomyces cerevisiae, it has been found that the carboxy-terminal two-thirds of Mgm101p has a functional core ...
A Moya, A Schlessinger, AEA Hobbs, AK Dunker, AK Dunker, AM Waterhouse, B He, BA Kaufman, C Galea, CJ Brown, D Tillett, David C. Hayward, DF Bogenhagen, DF Bogenhagen, E Garner, GD Clark-Walker, George Desmond Clark-Walker, GW Daughdrill, H Dyson, H Hegyi, HJ Dyson, I Miyakawa, JD Nardozzi, JJ Ward, K Itoh, K Okamoto, K Peng, L Dente, M Ito, M Kucej, M Mbantenkhu, MA Larkin, MG Claros, MW Gray, P Tompa, PE Wright, RD Gietz, RW Gilkerson, S Meeusen, S Meeusen, Vladimir N. Uversky, X Chen, X Zuo, X Zuo, XJ Chen, Y Elbaz, Z Dosztányi, Z Dosztányi, Zsuzsanna Dosztányi   +48 more
core   +3 more sources

Implementing deep learning-based disruption prediction in a drifting data environment of new tokamak: HL-3

Nuclear Fusion
A deep learning-based disruption prediction algorithm has been implemented on a new tokamak, HL-3. An Area Under receiver-operator characteristic Curve of 0.940 has been realized offline over a test campaign involving 72 disruptive and 240 non-disruptive
Zongyu Yang, Wulyu Zhong, Fan Xia, Zhe Gao, Xiaobo Zhu, Jiyuan Li, Liwen Hu, Zhaohe Xu, Da Li, Guohui Zheng, Yihang Chen, Junzhao Zhang, Bo Li, Xiaolong Zhang, Yiren Zhu, Ruihai Tong, Yunbo Dong, Yipo Zhang, Boda Yuan, Xin Yu, Zongyuhui He, Wenjing Tian, Xinwen Gong, Min Xu   +23 more
doaj   +1 more source

Tokamak plasma disruption precursor onset time study based on semi-supervised anomaly detection

Nuclear Engineering and Technology
Plasma disruption in tokamak experiments is a challenging issue that causes damage to the device. Reliable prediction methods are needed, but the lack of full understanding of plasma disruption limits the effectiveness of physics-driven methods.
X.K. Ai, W. Zheng, M. Zhang, D.L. Chen, C.S. Shen, B.H. Guo, B.J. Xiao, Y. Zhong, N.C. Wang, Z.J. Yang, Z.P. Chen, Z.Y. Chen, Y.H. Ding, Y. Pan   +13 more
doaj   +1 more source

Sleep, circadian system and traumatic stress

European Journal of Psychotraumatology, 2021
The human circadian system creates and maintains cellular and systemic rhythmicity essential for the temporal organization of physiological processes promoting homeostasis and environmental adaptation.
Agorastos Agorastos, Miranda Olff
doaj   +1 more source

Pupillary dynamics of mice performing a Pavlovian delay conditioning task reflect reward-predictive signals

Frontiers in Systems Neuroscience, 2022
Pupils can signify various internal processes and states, such as attention, arousal, and working memory. Changes in pupil size have been associated with learning speed, prediction of future events, and deviations from the prediction in human studies ...
Kota Yamada, Kota Yamada, Koji Toda
doaj   +1 more source

Real-time disruption prediction in multi-dimensional spaces leveraging diagnostic information not available at execution time

Nuclear Fusion
This article describes the use of privileged information to train supervised classifiers, applied for the first time to the prediction of disruptions in tokamaks.
J. Vega, S. Dormido-Canto, R. Castro, J.D. Fernández, A. Murari, JET Contributors   +5 more
doaj   +1 more source

Uniaxial stretch-induced axonal injury thresholds for axonal dysfunction and disruption and strain rate effects on thresholds for mouse neuronal stem cells

Journal of Biomechanical Science and Engineering, 2017
In this paper, the proposed study aims to achieve a better understanding of neuronal tolerance and contribute to the prediction of the secondary degeneration of diffuse axonal injury (DAI). Therefore, a uniaxial stretching device which subjected cultured
Evrim KURTOGLU, Hiromichi NAKADATE, Kazuhiro KIKUTA, Shigeru AOMURA, Akira KAKUTA   +4 more
doaj   +1 more source

Role of N-methyl-D-aspartate receptors in action-based predictive coding deficits in schizophrenia [PDF]

, 2017
Published in final edited form as:Biol Psychiatry. 2017 March 15; 81(6): 514–524. doi:10.1016/j.biopsych.2016.06.019.BACKGROUND: Recent theoretical models of schizophrenia posit that dysfunction of the neural mechanisms subserving predictive coding ...
Ford, Judith M., Gunduz-Bruce, Handan, Jaeger, Judith, Kort, Naomi S., Krystal, John H., Mathalon, Daniel H., Reinhart, Robert M.G., Roach, Brian J.   +7 more
core   +1 more source

Dropout in Neural Networks Simulates the Paradoxical Effects of Deep Brain Stimulation on Memory

Frontiers in Aging Neuroscience, 2020
Neuromodulation techniques such as deep brain stimulation (DBS) are a promising treatment for memory-related disorders including anxiety, addiction, and dementia.
Shawn Zheng Kai Tan, Richard Du, Jose Angelo Udal Perucho, Shauhrat S. Chopra, Varut Vardhanabhuti, Lee Wei Lim   +5 more
doaj   +1 more source