Results 61 to 70 of about 140,191 (290)
Hybrid deep learning architecture for general disruption prediction across tokamaks [PDF]
Submitted for publication in Nuclear FusionIn this paper, we present a new deep learning disruption prediction algorithm based on important findings from explorative data analysis which effectively allows knowledge transfer from existing devices to new ...
Zhu, Jinxiang +5 more
core +1 more source
The human gut microbiome across the life course
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Vi-DP: low-latency video-based disruption prediction with multi-FOV fusion in EAST
Plasma disruption poses a significant safety challenge for future tokamaks and fusion reactors. Prior work on disruption prediction relies primarily on multiple scalar zero-dimensional (0D) signals and one-dimensional (1D) profiles as input of the ...
M.W. Chen +14 more
doaj +1 more source
An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley +1 more source
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 +23 more
doaj +1 more source
Tokamak plasma disruption precursor onset time study based on semi-supervised anomaly detection
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 +13 more
doaj +1 more source
Sleep, circadian system and traumatic stress
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
Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis
Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee +7 more
wiley +1 more source
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 +5 more
doaj +1 more source
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 +4 more
doaj +1 more source

